Search

Your search keyword '"J. LUECK"' showing total 882 results
Start Over Author "J. LUECK"

Refine your results

882 results on '"J. LUECK"'

1. The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review

Author

Md Zakir Hossain, Elena Daskalaki, Anne Brüstle, Jane Desborough, Christian J. Lueck, and Hanna Suominen

Subjects
Deep learning, Disease progression, Medical informatics, Multiple sclerosis, Prognosis, Supervised machine learning, Computer applications to medicine. Medical informatics, R858-859.7
Abstract

Abstract Background Multiple sclerosis (MS) is a neurological condition whose symptoms, severity, and progression over time vary enormously among individuals. Ideally, each person living with MS should be provided with an accurate prognosis at the time of diagnosis, precision in initial and subsequent treatment decisions, and improved timeliness in detecting the need to reassess treatment regimens. To manage these three components, discovering an accurate, objective measure of overall disease severity is essential. Machine learning (ML) algorithms can contribute to finding such a clinically useful biomarker of MS through their ability to search and analyze datasets about potential biomarkers at scale. Our aim was to conduct a systematic review to determine how, and in what way, ML has been applied to the study of MS biomarkers on data from sources other than magnetic resonance imaging. Methods Systematic searches through eight databases were conducted for literature published in 2014–2020 on MS and specified ML algorithms. Results Of the 1, 052 returned papers, 66 met the inclusion criteria. All included papers addressed developing classifiers for MS identification or measuring its progression, typically, using hold-out evaluation on subsets of fewer than 200 participants with MS. These classifiers focused on biomarkers of MS, ranging from those derived from omics and phenotypical data (34.5% clinical, 33.3% biological, 23.0% physiological, and 9.2% drug response). Algorithmic choices were dependent on both the amount of data available for supervised ML (91.5%; 49.2% classification and 42.3% regression) and the requirement to be able to justify the resulting decision-making principles in healthcare settings. Therefore, algorithms based on decision trees and support vector machines were commonly used, and the maximum average performance of 89.9% AUC was found in random forests comparing with other ML algorithms. Conclusions ML is applicable to determining how candidate biomarkers perform in the assessment of disease severity. However, applying ML research to develop decision aids to help clinicians optimize treatment strategies and analyze treatment responses in individual patients calls for creating appropriate data resources and shared experimental protocols. They should target proceeding from segregated classification of signals or natural language to both holistic analyses across data modalities and clinically-meaningful differentiation of disease.

Published
2022
Full Text
View/download PDF

2. Objective perimetry and progression of multiple sclerosis

Author

Ted Maddess, Corinne F. Carle, Emilie M.F. Rohan, Jonathan Baird-Gunning, Josh P. van Kleef, and Christian J. Lueck

Subjects
Objective perimetry, Multiple sclerosis, Disability progression, Pupillary response, Neurology. Diseases of the nervous system, RC346-429
Abstract

Introduction: We re-examined the per-region response amplitudes and delays obtained from multifocal pupillographic objective perimetry (mfPOP) after 10 years in 44 persons living with multiple sclerosis (PwMS), both to examine which parts of the visual field had progressed in terms of response properties and to examine if the baseline data could predict the overall progression of disease. Methods: Expanded Disability Status Scale (EDSS) scores were assessed in 2009 and 2019. Both eyes of each participant were concurrently tested at 44 locations/eye on both occasions. Several measures of clinical progression were examined, using logistic regression to determine the odds of progression. Results: At the second examination the 44 PwMS (31 females) were aged 61.0 ± 12.2 y. Mean EDSS had not changed significantly (3.69 ± 1.23 in 2009, 3.81 ± 2.00 in 2019). mfPOP delay increased progressively from inferior to superior regions of the visual fields while amplitudes demonstrated a temporal to nasal gradient. The mean of the 3 most delayed visual field regions was correlated with progression of MS by 2019 (p = 0.023). Logistic regression indicated a significant association between delay and odds of progression (p = 0.045): an individual with 3 regions at least 1 SD (40 ms) slower than the mean in 2009 had 2.05× (±SE: 1.43× to 2.95×) the odds of progression by 2019. A 1 SD shorter delay was associated with 2.05× lower odds of progression. Amplitude changes were not predictive of progression. Significance: mfPOP may provide a rapid, convenient method of monitoring and predicting MS progression.

Published
2022
Full Text
View/download PDF

3. Assessing migraine patients with multifocal pupillographic objective perimetry

Author

Eman N. Ali, Corinne F. Carle, Christian J. Lueck, Maria Kolic, and Ted Maddess

Subjects
Migraine, Trigeminovascular pathway, Melanopsin, Multifocal pupillography, Photosensitivity, Neurology. Diseases of the nervous system, RC346-429
Abstract

Abstract Background To establish the effects of stimulating intrinsically-photosensitive retinal ganglion cells (ipRGCs) on migraine severity, and to determine if migraine produces objectively-measured visual field defects. Methods A randomized, open labelled, crossover study tested migraineurs and normal controls using multifocal pupillographic objective perimetry (mfPOP) with 44 test-regions/eye. A slow blue protocol (BP) stimulated ipRGCs, and a fast yellow protocol (YP) stimulated luminance channels. Migraine diaries assessed migraine severity. Per-region responses were analyzed according to response amplitude and time-to-peak. Results Thirty-eight migraineurs (42.0 ± 16.5 years, 23 females) and 24 normal controls (39.2 ± 15.2 years, 14 females) were tested. The proportion of subjects developing a migraine did not differ after either protocol, either during the 1st day (odds ratio 1.0; 95% confidence interval 0.2–4.4, p = 0.48) or during the first 3 days after testing (odds ratio 0.8; 95% confidence interval 0.3–2.1, p = 0.68). Migraine days/week did not increase following testing with either protocol in comparison to the baseline week (1.4 ± 1.6 pre-testing (mean ± SD), 1.3 ± 1.4 post-BP, and 1.3 ± 1.2 post-YP; p = 0.96), neither did other measures of severity. Migraine occurring up to 2 weeks before testing significantly lowered amplitudes, − 0.64 ± 0.14 dB (mean ± SE), while triptan use increased amplitudes by 0.45 ± 0.10 dB, both at p

Published
2021
Full Text
View/download PDF

4. Biomechanics of human optic chiasmal compression: ex vivo experiment and finite element modelling

Author

Xiaofei Wang, Andrew J. Neely, Neeranjali S. Jain, Swaranjali V. Jain, Sanjiv Jain, Murat Tahtali, Gawn G. McIlwaine, and Christian J. Lueck

Subjects
Bitemporal hemianopia, Pituitary tumour, Chiasm, Finite element modelling, Optic nerve fibre, Medical technology, R855-855.5
Abstract

The mechanism of bitemporal hemianopia arising as a result of chiasmal compression is unknown. In this study, we combined an ex vivo experiment and finite element modelling (FEM) to investigate its potential mechanism. A cadaveric human optic chiasm was scanned using micro-CT before and after deformation by inflation of Foley catheter, to simulate tumour growth from beneath. The geometry of the same chiasm was reconstructed and simulated using finite element analysis. Chiasmal deformations were extracted from the simulation and compared with those observed during micro-CT scanning. In addition, nerve fibre models examining variation in local fibre distribution patterns of the chiasm were incorporated to investigate the strain (deformation) distributions of the chiasm at an axonal level. The FEM model matched the micro-CT scans well both qualitatively and quantitatively. Compression of the chiasm induced high strains in the paracentral portions of the chiasm where the crossing optic nerve fibres are located. At an axonal level, the magnitude of strains affecting crossed fibres were greater than those affecting uncrossed fibres. The high strains in the paracentral portions of the chiasm, combined with the differences in strain between crossed and uncrossed nerve fibres, are consistent with a biomechanical explanation for the pattern of visual field loss seen in chiasmal compression.

Published
2022
Full Text
View/download PDF

6. Which features of postural sway are effective in distinguishing Parkinson's disease from controls? A systematic review

Author

Wenbo Ge, Christian J. Lueck, Deborah Apthorp, and Hanna Suominen

Subjects
machine learning, meta‐analysis, Parkinson's disease, postural control, systematic review, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Abstract Background Postural sway may be useful as an objective measure of Parkinson's disease (PD). Existing studies have analyzed many different features of sway using different experimental paradigms. We aimed to determine what features have been used to measure sway and then to assess which feature(s) best differentiate PD patients from controls. We also aimed to determine whether any refinements might improve discriminative power and so assist in standardizing experimental conditions and analysis of data. Methods In this systematic review of the literature, effect size (ES) was calculated for every feature reported by each article and then collapsed across articles where appropriate. The influence of clinical medication status, visual state, and sampling rate on ES was also assessed. Results Four hundred and forty‐three papers were retrieved. 25 contained enough information for further analysis. The most commonly used features were not the most effective (e.g., PathLength, used 14 times, had ES of 0.47, while TotalEnergy, used only once, had ES of 1.78). Increased sampling rate was associated with increased ES (PathLength ES increased to 1.12 at 100 Hz from 0.40 at 10 Hz). Measurement during “OFF” clinical status was associated with increased ES (PathLength ES was 0.83 OFF compared to 0.21 ON). Conclusions This review identified promising features for analysis of postural sway in PD, recommending a sampling rate of 100 Hz and studying patients when OFF to maximize ES. ES complements statistical significance as it is clinically relevant and is easily compared across experiments. We suggest that machine learning is a promising tool for the future analysis of postural sway in PD.

Published
2021
Full Text
View/download PDF

7. Postural sway correlates with cognition and quality of life in Parkinson’s disease

Author

Christian J Lueck, Alex Smith, Deborah Apthorp, Susanne Ilschner, Robin Vlieger, Chandi Das, and Jeffrey C L Looi

Subjects
Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Background The severity of Parkinson’s disease (PD) is difficult to assess objectively owing to the lack of a robust biological marker of underlying disease status, with consequent implications for diagnosis, treatment and prognosis. The current standard tool is the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS), but this is hampered by variability between observers and within subjects. Postural sway has been shown to correlate with complex brain functioning in other conditions. This study aimed to investigate the relationship between postural sway, MDS-UPDRS and other non-motor measures of disease severity in patients with PD.Method 25 patients with PD and 18 age-matched controls participated in the study. All participants underwent assessment of postural sway using a force plate, with eyes open and closed. In addition, participants underwent tests of cognition and quality of life: Montreal Cognitive Assessment (MoCA), Neuropsychiatry Unit Cognitive Assessment (NUCOG) and, for the patients, the Parkinson’s Disease Questionnaire (PDQ-39–1), and assessment of clinical status using the motor component of the MDS-UPDRS.Results Patients swayed significantly more than controls. This was most obvious in the eyes-closed condition. Sway path length showed strong correlations with PDQ-39–1, MoCA and the verbal fluency component of the NUCOG, and, to a lesser degree, with the UPDRS-III in patients with PD.Conclusion These results suggest that motor and non-motor symptoms of PD are associated in patients, and, in particular, that postural sway shows potential as a possible measure of underlying disease status in PD, either alone or in combination with other measures.

Published
2020
Full Text
View/download PDF

8. Clinician perspectives on rapid transition to telehealth during COVID-19 in Australia – a qualitative study

Author

Lillian Smyth, Suzannah Roushdy, Jerusha Jeyasingham, Joshua Whitbread, Peta O’Brien, Charles Lloyd, Christian J. Lueck, Carolyn A. Hawkins, Graham Reynolds, and Diana Perriman

Subjects
Health Policy
Abstract

Objective The coronavirus disease 2019 (COVID-19) pandemic precipitated a major shift in the use of telehealth in Australia. The changes highlighted gaps in our knowledge regarding the efficacy of, and clinician attitudes to, the use of telehealth. The current study expands and deepens the available evidence as a result of being collected in unique circumstances that removed one of the major barriers (lack of Medicare rebates) and also one major enablers (willingness) of telehealth uptake. Methods Using a semi-structured interview, we invited clinicians (N = 39) to share their perspectives, attitudes and experiences of using telehealth. Topics covered included perceptions of the strengths and challenges of telehealth, and how experience of using telehealth during the COVID-19 pandemic had influenced clinicians’ views and intentions regarding their future practice. Participants included clinicians from five disciplines across public and private practice: paediatrics, neurology, immunology, rural general practice, and orthopaedics. Results We found three key dimensions for consideration when assessing the suitability of telehealth for ongoing practice: the attributes of the patient population, the attributes of the clinical context and environment, and the risks and benefits of a telehealth approach. These findings map to the existing literature and allow us to infer that the experiences of clinicians who previously would have chosen telehealth did not differ significantly from those of our ‘pandemic-conscripted’ clinicians. Conclusions Our findings map clearly to the existing literature and allow us to infer that the experiences of the clinicians who have chosen telehealth (and are already represented in the literature) did not differ significantly from those trying out telehealth under the unique circumstances of the removal of the Medicare Benefits Scheme barrier and external pressure that over-rides the ‘willingness’ enabling factor in uptake decisions.

Published
2022

9. Rapid, non-contact multifocal visual assessment in multiple sclerosis

Author

Ted Maddess, Joshua P. van Kleef, Emilie M. F. Rohan, Corinne F. Carle, Jonathan Baird-Gunning, Bhim B. Rai, Anne Bruestle, Jo Lane, and Christian J. Lueck

Subjects
Psychiatry and Mental health, Neurology (clinical), Dermatology, General Medicine
Abstract

Objective Previous work on temporally sparse multifocal methods suggests that the results are correlated with disability and progression in people with multiple sclerosis (PwMS). Here, we assess the diagnostic power of three cortically mediated sparse multifocal pupillographic objective perimetry (mfPOP) methods that quantified response-delay and light-sensitivity at up to 44 regions of both visual fields concurrently. Methods One high-spatial-resolution mfPOP method, P129, and two rapid medium-resolution methods, W12 and W20, were tested on 44 PwMS and controls. W12 and W20 took 82 s to test both visual fields concurrently, providing response delay and sensitivity at each field location, while P129 took 7 min. Diagnostic power was assessed using areas under the receiver operating characteristic (AUROC) curves and effect-size (Hedges’ g). Linear models examined significance. Concurrent testing of both eyes permitted assessment of between-eye asymmetries. Results Per-region response delays and asymmetries achieved AUROCs of 86.6% ± 4.72% (mean ± SE) in relapsing–remitting MS, and 96.5% ± 2.30% in progressive MS. Performance increased with increasing disability scores, with even moderate EDSS 2 to 4.5 PwMS producing AUROCs of 82.1 to 89.8%, Hedge’s g values up to 2.06, and p = 4.0e − 13. All tests performed well regardless of any history of optic neuritis. W12 and W20 performed as well or better than P129. Conclusion Overall, the 82-s tests (W12 and W20) performed better than P129. The results suggest that mfPOP assesses a correlate of disease severity rather than a history of inflammation, and that it may be useful in the clinical management of PwMS.

Published
2022

10. Evaluating Effects of Resting-State Electroencephalography Data Pre-Processing on a Machine Learning Task for Parkinson’s Disease

Author

Robin Vlieger, Elena Daskalaki, Deborah Apthorp, Christian J. Lueck, and Hanna Suominen

Abstract

Resting-state electroencephalography (RSEEG) is a method under consideration as a potential biomarker that could support early and accurate diagnosis of Parkinson’s disease (PD). RSEEG data is often contaminated by signals arising from other electrophysiological sources and the environment, necessitating pre-processing of the data prior to applying machine learning methods for classification. Importantly, using differing degrees of pre-processing will lead to different classification results. This study aimed to examine this by evaluating the difference in experimental results when using re-referenced data, data that had undergone filtering and artefact rejection, and data without muscle artefact. The results demonstrated that, using a Random Forest Classifier for feature selection and a Support Vector Machine for disease classification, different levels of pre-processing led to markedly different classification results. In particular, the presence of muscle artefact was associated with inflated classification accuracy, emphasising the importance of its removal as part of pre-processing.

Published
2023

11. Accuracy of Reporting the Hyperdense Middle Cerebral Artery Sign as a Function of Clinical Experience

Author

Patrick Aouad, Andrew Hughes, Terry Neeman, and Christian J. Lueck

Subjects
Hyperdense middle cerebral artery, Ischaemic stroke, Reporting accuracy, Interobserver variability, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Background/Aim: The hyperdense middle cerebral artery sign (HMCAS) is a useful clinical sign in the management of acute stroke and may alter time-critical decisions within an emergency setting. Though gold standards have been published, these are rarely used in clinical practice and scans tend to be reported subjectively. It is therefore possible that the level of experience of the doctor reporting the scan may impact on the accuracy of the reporting and hence patient management. This study was designed to evaluate the accuracy in detecting HMCAS across doctors with varying levels of experience. Methods: Forty doctors were recruited into four categories of experience. Each subject received a brief computer-based tutorial on how to identify an HMCAS and was then asked to report on the presence or absence of an HMCAS in 19 pre-prepared CT scans using a standardised viewing template. Results: The mean (±SE) percentage correct scores increased with experience from 76.8 ± 3.69 among interns and residents to 90.1 ± 2.23 (neurologists and radiologists; p Conclusions: Experienced neurologists and radiologists consistently and accurately reported the presence or absence of HMCAS, whereas less experienced clinicians tended to over-report the presence of HMCAS. This may have implications for the acute management of thromboembolic stroke.

Published
2015
Full Text
View/download PDF

12. ‘They're getting a taste of our world’: A qualitative study of people with multiple sclerosis' experiences of accessing health care during the COVID‐19 pandemic in the Australian Capital Territory

Author

Christian J. Lueck, Janet Drew, Jane Desborough, Katrina Chisholm, Anne Parkinson, Sally Hall Dykgraaf, Mark Elisha, Christine Phillips, and Vanessa Fanning

Subjects
Adult, Medicine (General), Australian Capital Territory, telehealth, Physical examination, Telehealth, multiple sclerosis, Health Services Accessibility, R5-920, Nursing, Health care, Pandemic, medicine, Humans, Pandemics, medicine.diagnostic_test, SARS-CoV-2, patient experience, business.industry, pandemic, Australia, Public Health, Environmental and Occupational Health, COVID-19, risk assessment, Original Articles, Telemedicine, Body language, Taste, qualitative, Original Article, Public aspects of medicine, RA1-1270, Thematic analysis, business, Risk assessment, Psychology, Qualitative research
Abstract

Background People with multiple sclerosis (MS), who are often immunocompromised, require complex care and engage with a variety of health-care providers to manage their health. Objective To elucidate people with MS' experiences of accessing health care during the COVID-19 pandemic in Australia. Design A qualitative study involving semi-structured interviews and thematic analysis. Settings and participants Eight adults with a clinical diagnosis of MS participated in telephone or video call interviews between June and July 2020. Results Participants were aware that having MS made them more vulnerable to contracting COVID-19. In some cases, usual care was postponed or not sought. Some circumstances warranted the risk of a face-to-face consultation. Benefits of telehealth consultations included improved access, convenience and being contact-free. In comparison with video consultations, those via telephone were considered less personal and limited capacity to read body language, and for physical examination. Most participants hoped to incorporate telehealth into their future health-care routines. Discussion and conclusion Personal risk assessment and trust in health-care professionals are determinants of the mode through which people with MS accessed health care during the COVID-19 pandemic. Telehealth has been a valuable tool to mitigate COVID-19 transmission through enabling contact-free consultations. People with MS may find specific value in video consultations, which enable visualization of physical function. There is a need for training and support for all clinicians to conduct remote consultations. Patient or public contribution This study was conducted by a team comprised of four people with MS, a neurologist and four health services researchers.

Published
2021

13. Optical coherence tomography: a window to the brain?

Author

Christian J. Lueck and Clare L. Fraser

Subjects
medicine.medical_specialty, Neuromyelitis optica, genetic structures, Anterior Visual Pathway, medicine.diagnostic_test, business.industry, Multiple sclerosis, Window (computing), General Medicine, medicine.disease, Optic disc drusen, eye diseases, Clinical Practice, 03 medical and health sciences, 0302 clinical medicine, Optical coherence tomography, Ophthalmology, Neuroophthalmology, 030221 ophthalmology & optometry, medicine, sense organs, Neurology (clinical), business, 030217 neurology & neurosurgery
Abstract

First described in 1991 and introduced into clinical practice in 1996, optical coherence tomography (OCT) now has a very extensive role in many different areas of ophthalmological practice. It is non-invasive, cheap, highly reproducible, widely available and easy to perform. OCT also has a role in managing patients with neurological disorders, particularly idiopathic intracranial hypertension. This review provides an overview of the technology underlying OCT and the information it can provide that is relevant to the practising neurologist. Particular conditions discussed include papilloedema, optic disc drusen, multiple sclerosis and neuromyelitis optica, other optic neuropathies, compression of the anterior visual pathway and various neurodegenerative conditions.

Published
2021

14. Haunting Women’s Public Memory: Ethos, Space, and Gender in the Winchester Mystery House

Author

Amy J. Lueck

Subjects
Ethos, Literature and Literary Theory, Framing (construction), Media studies, Rhetorical question, Sociology, Space (commercial competition), Language and Linguistics
Abstract

This article examines the rhetorical framing of San Jose’s “Winchester Mystery House” house tour to consider the role of spatiality in shaping the ethos and subsequent public remembrance of women. ...

Published
2021

15. Blackout: Understanding transient vision loss

Author

Christian J. Lueck, Rachael C. Heath Jeffery, and Fred K. Chen

Subjects
Monocular, Urgent referral, genetic structures, medicine.diagnostic_test, business.industry, Blackout, Vision Disorders, Neurological examination, eye diseases, Diagnosis, Differential, Underlying disease, medicine, Optic nerve, Humans, Optometry, Transient (computer programming), medicine.symptom, Family Practice, business
Abstract

BACKGROUND Transient vision loss may indicate underlying disease of the eye, optic nerve, orbit, brain or heart. Detailed history-taking followed by a complete ocular and neurological examination is therefore a crucial part of any consultation. OBJECTIVE It is important to determine whether a patient with transient vision loss can be reassured or requires urgent referral for further investigation. This review examines monocular and binocular transient vision loss and provides a structured approach to the examination of a patient with transient vision loss. The aim of this article is to provide clinicians with confidence when encountering these patients. DISCUSSION Transient vision loss can imply serious underlying pathology; therefore, accurate history-taking and astute observation are paramount. This review discusses the differential diagnosis of monocular and binocular transient vision loss and the relevant localising features of each.

Published
2021

17. High-precision measurement of the

Author

T, Aaltonen, S, Amerio, D, Amidei, A, Anastassov, A, Annovi, J, Antos, G, Apollinari, J A, Appel, T, Arisawa, A, Artikov, J, Asaadi, W, Ashmanskas, B, Auerbach, A, Aurisano, F, Azfar, W, Badgett, T, Bae, A, Barbaro-Galtieri, V E, Barnes, B A, Barnett, P, Barria, P, Bartos, M, Bauce, F, Bedeschi, S, Behari, G, Bellettini, J, Bellinger, D, Benjamin, A, Beretvas, A, Bhatti, K R, Bland, B, Blumenfeld, A, Bocci, A, Bodek, D, Bortoletto, J, Boudreau, A, Boveia, L, Brigliadori, C, Bromberg, E, Brucken, J, Budagov, H S, Budd, K, Burkett, G, Busetto, P, Bussey, P, Butti, A, Buzatu, A, Calamba, S, Camarda, M, Campanelli, B, Carls, D, Carlsmith, R, Carosi, S, Carrillo, B, Casal, M, Casarsa, A, Castro, P, Catastini, D, Cauz, V, Cavaliere, A, Cerri, L, Cerrito, Y C, Chen, M, Chertok, G, Chiarelli, G, Chlachidze, K, Cho, D, Chokheli, A, Clark, C, Clarke, M E, Convery, J, Conway, M, Corbo, M, Cordelli, C A, Cox, D J, Cox, M, Cremonesi, D, Cruz, J, Cuevas, R, Culbertson, N, d'Ascenzo, M, Datta, P, de Barbaro, L, Demortier, M, Deninno, M, D'Errico, F, Devoto, A, Di Canto, B, Di Ruzza, J R, Dittmann, S, Donati, M, D'Onofrio, M, Dorigo, A, Driutti, K, Ebina, R, Edgar, A, Elagin, R, Erbacher, S, Errede, B, Esham, S, Farrington, J P, Fernández Ramos, R, Field, G, Flanagan, R, Forrest, M, Franklin, J C, Freeman, H, Frisch, Y, Funakoshi, C, Galloni, A F, Garfinkel, P, Garosi, H, Gerberich, E, Gerchtein, S, Giagu, V, Giakoumopoulou, K, Gibson, C M, Ginsburg, N, Giokaris, P, Giromini, V, Glagolev, D, Glenzinski, M, Gold, D, Goldin, A, Golossanov, G, Gomez, G, Gomez-Ceballos, M, Goncharov, O, González López, I, Gorelov, A T, Goshaw, K, Goulianos, E, Gramellini, C, Grosso-Pilcher, J, Guimaraes da Costa, S R, Hahn, J Y, Han, F, Happacher, K, Hara, M, Hare, R F, Harr, T, Harrington-Taber, K, Hatakeyama, C, Hays, J, Heinrich, M, Herndon, A, Hocker, Z, Hong, W, Hopkins, S, Hou, R E, Hughes, U, Husemann, M, Hussein, J, Huston, G, Introzzi, M, Iori, A, Ivanov, E, James, D, Jang, B, Jayatilaka, E J, Jeon, S, Jindariani, M, Jones, K K, Joo, S Y, Jun, T R, Junk, M, Kambeitz, T, Kamon, P E, Karchin, A, Kasmi, Y, Kato, W, Ketchum, J, Keung, B, Kilminster, D H, Kim, H S, Kim, J E, Kim, M J, Kim, S H, Kim, S B, Kim, Y J, Kim, Y K, Kim, N, Kimura, M, Kirby, K, Kondo, D J, Kong, J, Konigsberg, A V, Kotwal, M, Kreps, J, Kroll, M, Kruse, T, Kuhr, M, Kurata, A T, Laasanen, S, Lammel, M, Lancaster, K, Lannon, G, Latino, H S, Lee, J S, Lee, S, Leo, S, Leone, J D, Lewis, A, Limosani, E, Lipeles, A, Lister, Q, Liu, T, Liu, S, Lockwitz, A, Loginov, D, Lucchesi, A, Lucà, J, Lueck, P, Lujan, P, Lukens, G, Lungu, J, Lys, R, Lysak, R, Madrak, P, Maestro, S, Malik, G, Manca, A, Manousakis-Katsikakis, L, Marchese, F, Margaroli, P, Marino, K, Matera, M E, Mattson, A, Mazzacane, P, Mazzanti, R, McNulty, A, Mehta, P, Mehtala, A, Menzione, C, Mesropian, T, Miao, E, Michielin, D, Mietlicki, A, Mitra, H, Miyake, S, Moed, N, Moggi, C S, Moon, R, Moore, M J, Morello, A, Mukherjee, Th, Muller, P, Murat, M, Mussini, J, Nachtman, Y, Nagai, J, Naganoma, I, Nakano, A, Napier, J, Nett, T, Nigmanov, L, Nodulman, S Y, Noh, O, Norniella, L, Oakes, S H, Oh, Y D, Oh, T, Okusawa, R, Orava, L, Ortolan, C, Pagliarone, E, Palencia, P, Palni, V, Papadimitriou, W, Parker, G, Pauletta, M, Paulini, C, Paus, T J, Phillips, G, Piacentino, E, Pianori, J, Pilot, K, Pitts, C, Plager, L, Pondrom, S, Poprocki, K, Potamianos, A, Pranko, F, Prokoshin, F, Ptohos, G, Punzi, I, Redondo Fernández, P, Renton, M, Rescigno, F, Rimondi, L, Ristori, A, Robson, T, Rodriguez, S, Rolli, M, Ronzani, R, Roser, J L, Rosner, F, Ruffini, A, Ruiz, J, Russ, V, Rusu, W K, Sakumoto, Y, Sakurai, L, Santi, K, Sato, V, Saveliev, A, Savoy-Navarro, P, Schlabach, E E, Schmidt, T, Schwarz, L, Scodellaro, F, Scuri, S, Seidel, Y, Seiya, A, Semenov, F, Sforza, S Z, Shalhout, T, Shears, P F, Shepard, M, Shimojima, M, Shochet, I, Shreyber-Tecker, A, Simonenko, K, Sliwa, J R, Smith, F D, Snider, H, Song, V, Sorin, R, St Denis, M, Stancari, D, Stentz, J, Strologas, Y, Sudo, A, Sukhanov, I, Suslov, K, Takemasa, Y, Takeuchi, J, Tang, M, Tecchio, P K, Teng, J, Thom, E, Thomson, V, Thukral, D, Toback, S, Tokar, K, Tollefson, T, Tomura, S, Torre, D, Torretta, P, Totaro, M, Trovato, F, Ukegawa, S, Uozumi, F, Vázquez, G, Velev, K, Vellidis, C, Vernieri, M, Vidal, R, Vilar, J, Vizán, M, Vogel, G, Volpi, P, Wagner, R, Wallny, S M, Wang, D, Waters, W C, Wester, D, Whiteson, A B, Wicklund, S, Wilbur, H H, Williams, J S, Wilson, P, Wilson, B L, Winer, P, Wittich, S, Wolbers, H, Wolfmeister, T, Wright, X, Wu, Z, Wu, K, Yamamoto, D, Yamato, T, Yang, U K, Yang, Y C, Yang, W-M, Yao, G P, Yeh, K, Yi, J, Yoh, K, Yorita, T, Yoshida, G B, Yu, I, Yu, A M, Zanetti, Y, Zeng, C, Zhou, and S, Zucchelli

Abstract

The mass of the

Published
2022

18. Educational Progress‐Time and the Proliferation of Dual Enrollment

Author

Brice Nordquist and Amy J. Lueck

Subjects
Dual enrollment, Teaching method, media_common.quotation_subject, Power structure, Mathematics education, Program development, Sociology, Cooperative planning, Literal and figurative language, Literacy, Standards-based assessment, Education, media_common
Published
2020

19. ‘It struck at the heart of who I thought I was’: A meta‐synthesis of the qualitative literature examining the experiences of people with multiple sclerosis

Author

Vanessa Fanning, Christian J. Lueck, Katrina Chisholm, Anne Bruestle, Antonio Tricoli, Adam Henschke, Matthew C. Cook, Mark Elisha, Jane Desborough, Hanna Suominen, Christine Phillips, Crystal Brunoro, Janet Drew, and Anne Parkinson

Subjects
Multiple Sclerosis, Inclusion (disability rights), patient experience, 030503 health policy & services, Public Health, Environmental and Occupational Health, review literature, Identity (social science), Review Article, MS, CINAHL, Disease, PsycINFO, Experiential learning, Family life, perceptions, 03 medical and health sciences, 0302 clinical medicine, Patient experience, Humans, 030212 general & internal medicine, 0305 other medical science, Psychology, Review Articles, Qualitative Research, Clinical psychology
Abstract

Background People with multiple sclerosis (MS) have varied experiences and approaches to self‐management. This review aimed to explore the experiences of people with MS, and consider the implications of these experiences for clinical practice and research. Methods A meta‐synthesis of the qualitative literature examining experiences of people with MS was conducted using systematic searches of ProQuest, PubMed, CINAHL and PsycINFO. We incorporated feedback from team members with MS as expert patient knowledge‐users to capture the complex subjectivities of persons with lived experience responding to research on lived experience of the same disease. Results Of 1680 unique articles, 77 met the inclusion criteria. We identified five experiential themes: (a) the quest for knowledge, expertise and understanding, (b) uncertain trajectories (c) loss of valued roles and activities, and the threat of a changing identity, (d) managing fatigue and its impacts on life and relationships, and (f) adapting to life with MS. These themes were distributed across three domains related to disease (symptoms; diagnosis; progression and relapse) and two contexts (the health‐care sector; and work, social and family life). Conclusion The majority of people in the studies included in this review expressed a determination to adapt to MS, indicating a strong motivation for people with MS and clinicians to collaborate in the quest for knowledge. Clinicians caring for people with MS need to consider the experiential and social outcomes of this disease such as fatigue and the preservation of valued social roles, and incorporate this into case management and clinical planning.

Published
2020

20. Factors delaying intravenous thrombolytic therapy in acute ischaemic stroke: a systematic review of the literature

Author

Christian J. Lueck, Angelos Sharobeam, Dianne Walton-Sonda, and Brett Jones

Subjects
medicine.medical_specialty, Neurology, business.industry, medicine.medical_treatment, MEDLINE, Thrombolysis, Cochrane Library, medicine.disease, 03 medical and health sciences, 0302 clinical medicine, Treatment delivery, Ischaemic stroke, medicine, 030212 general & internal medicine, Neurology (clinical), Intensive care medicine, business, Stroke, 030217 neurology & neurosurgery, Neuroradiology
Abstract

This review examined factors that delay thrombolysis and what management strategies are currently employed to minimise this delay, with the aim of suggesting future directions to overcome bottlenecks in treatment delivery. A systematic review was performed according to PRISMA guidelines. The search strategy included a combination of synonyms and controlled vocabularies from Medical Subject Headings (MeSH) and EmTree covering brain ischemia, cerebrovascular accident, fibrinolytic therapy and Alteplase. The search was conducted using Medline (OVID), Embase (OVID), PubMed and Cochrane Library databases using truncations and Boolean operators. The literature search excluded review articles, trial protocols, opinion pieces and case reports. Inclusion criteria were: (1) The article directly related to thrombolysis in ischaemic stroke, and (2) The article examined at least one factor contributing to delay in thrombolytic therapy. One hundred and fifty-two studies were included. Pre-hospital factors resulted in the greatest delay to thrombolysis administration. In-hospital factors relating to assessment, imaging and thrombolysis administration also contributed. Long onset-to-needle times were more common in those with atypical, or less severe, symptoms, the elderly, patients from lower socioeconomic backgrounds, and those living alone. Various strategies currently exist to reduce delays. Processes which have achieved the greatest improvements in time to thrombolysis are those which integrate out-of-hospital and in-hospital processes, such as the Helsinki model. Further integrated processes are required to maximise patient benefit from thrombolysis. Expansion of community education to incorporate less common symptoms and provision of alert pagers for patients may provide further reduction in thrombolysis times.

Published
2020

21. Response characteristics of objective perimetry in persons living with epilepsy

Author

Eman N. Ali, Christian J. Lueck, Corinne F. Carle, Kate L. Martin, Angela Borbelj, and Ted Maddess

Subjects
Epilepsy, Neurology, Seizures, Humans, Visual Field Tests, Pupil, Neurology (clinical), Epilepsies, Partial
Abstract

To investigate safety and visual-field changes in people with epilepsy undergoing multifocal Pupillographic Objective Perimetry (mfPOP).15 people with epilepsy and 15 controls underwent mfPOP in the context of routine clinical EEG testing. Safety measures comprised the proportion of participants developing an aura or seizure, a photoparoxysmal response, or increased epileptiform activity on their EEG during mfPOP. Pupil responses were obtained concurrently from 44 regions/field of each eye. Changes in standardised amplitude of constriction and time-to-peak were compared between people with generalised and focal epilepsy, and controls.No participant developed an epileptic aura or clinical seizure during (or after) testing. One participant demonstrated EEG evidence of a focal subclinical seizure which began before mfPOP testing and continued unchanged during testing. Regional field sensitivities were increased in people with generalised epilepsy (+3.80 ± 1.43 dB compared to controls) but were reduced in individuals taking antiepileptic medication (-4.04 ± 1.74 dB). An extra delay of 24.9 ± 10.2 ms was seen in the time-to-peak of the responses in people with focal epilepsy. Based on receiver-operating characteristic analyses, discrimination of people with epilepsy from controls was greatest when using the 4 to 10 most abnormal visual field regions of each eye (%AUC 77.3 ± 9.70).In the absence of any safety signal, mfPOP appears harmless in people with epilepsy. The observed abnormalities in per-region sensitives and delays suggest that mfPOP may provide significant new insights into the study of epilepsy.

Published
2021

22. The Use of Event-Related Potentials and Machine Learning to Improve Diagnostic Testing and Prediction of Disease Progression in Parkinson's Disease

Author

Robin, Vlieger, Elena, Daskalaki, Deborah, Apthorp, Christian J, Lueck, and Hanna, Suominen

Subjects
Machine Learning, Disease Progression, Humans, Parkinson Disease, Evoked Potentials, Diagnostic Techniques and Procedures
Abstract

Current tests of disease status in Parkinson's disease suffer from high variability, limiting their ability to determine disease severity and prognosis. Event-related potentials, in conjunction with machine learning, may provide a more objective assessment. In this study, we will use event-related potentials to develop machine learning models, aiming to provide an objective way to assess disease status and predict disease progression in Parkinson's disease.

Published
2021

23. The Use of Event-Related Potentials and Machine Learning to Improve Diagnostic Testing and Prediction of Disease Progression in Parkinson’s Disease

Author

Robin Vlieger, Elena Daskalaki, Deborah Apthorp, Christian J Lueck, and Hanna Suominen

Abstract

Current tests of disease status in Parkinson’s disease suffer from high variability, limiting their ability to determine disease severity and prognosis. Event-related potentials, in conjunction with machine learning, may provide a more objective assessment. In this study, we will use event-related potentials to develop machine learning models, aiming to provide an objective way to assess disease status and predict disease progression in Parkinson’s disease.

Published
2021

24. Measurement of the charge asymmetry of electrons from the decays of W bosons produced in pp¯ collisions at s=1.96 TeV

Author

M. Kurata, Andrew Ivanov, Daniela Bortoletto, P. E. Karchin, A. Castro, V. Thukral, D. Goldin, G. Piacentino, M. Kambeitz, J. Keung, A. Mukherjee, Pavol Bartos, G. Manca, T. A. Schwarz, Monica D'Onofrio, M. Rescigno, Justin Pilot, Rainer Wallny, Mario Campanelli, V. V. Glagolev, H. Gerberich, G. Chlachidze, B. Auerbach, S. Donati, R. F. Harr, K. R. Bland, Kenichi Hatakeyama, D. Tonelli, T. Yang, Y. C. Yang, C. Paus, M. Franklin, Chris Hays, A. Semenov, Mark Kruse, Alison Lister, C. Plager, J. Nett, Stefano Giagu, J. D. Lewis, Hirokazu Miyake, S. Amerio, Alberto Annovi, T. Tomura, Jian Tang, P. Garosi, I. Redondo Fernández, O. Norniella, R. Vilar, C. M. Ginsburg, J. E. Kim, S. H. Kim, K. K. Joo, Scott Wilbur, Nicola D'Ascenzo, J. A. Appel, M. J. Shochet, A. Hocker, J. S. Conway, M. Iori, C. Pagliarone, T. Rodriguez, Javier Cuevas, Hong Ye Song, A. Simonenko, G. Pauletta, V. A. Giakoumopoulou, Virgil E Barnes, G. Volpi, Gervasio Gomez, D. W. Jang, V. Papadimitriou, J. C. Freeman, P. F. Shepard, S. H. Oh, P. J. Bussey, D. Waters, B. Di Ruzza, A. Ruiz, Adrian Buzatu, Y. Nagai, D. J. Cox, C. Galloni, T. Nigmanov, M. Gold, Koji Yamamoto, Ulrich Husemann, A. Manousakis-Katsikakis, N. Moggi, P. K. Teng, Matthew Jones, D. Yamato, A. Savoy-Navarro, Yuji Sudo, Andrew Beretvas, Giuseppe Latino, D. Mietlicki, Jonathan L. Rosner, T. Miao, D. Chokheli, G. Punzi, Itsuo Nakano, I. Yu, Alan Garfinkel, Marcelo Vogel, Fabrizio Margaroli, J. R. Smith, P. Schlabach, P. Totaro, B. Jayatilaka, Henry J. Frisch, K. Gibson, Matteo Cremonesi, Fumihiko Ukegawa, Xin Wu, Th. Müller, K. Sliwa, J. N. Bellinger, Y. D. Oh, G. Flanagan, D. Torretta, Viviana Cavaliere, T. Wright, T. Aaltonen, L. Ristori, Y. Takeuchi, W.F. Badgett, Peter Wagner, W. Ashmanskas, S. Lockwitz, Sudhir Malik, M. Vidal, Marco Trovato, H. S. Budd, W. Parker, L. Brigliadori, Keunchang Cho, A. Elagin, A. Bocci, Jay Dittmann, Stephan Lammel, E. J. Jeon, T. Kuhr, F. Canelli, K. Takemasa, V. Saveliev, S. Moed, Kiminori Kondo, M. J. Kim, M. M. Deninno, D. H. Kim, A. Loginov, A. B. Wicklund, Erik Brücken, E. E. Schmidt, A. Cerri, D. Stentz, H. S. Kim, W. Ketchum, E. Thomson, J. Antos, Prabhakar Palni, C. Mesropian, S. Y. Noh, Kazuhiko Hara, S. Carrillo, E. Gramellini, Giovanni Bellettini, M. E. Mattson, S. R. Hahn, E. Palencia, F. Vázquez, A. Di Canto, Maxim Goncharov, J. Asaadi, E. James, Naoki Kimura, A. Kasmi, V. Vecchio, L. Demortier, O. Gonzalez Lopez, S. Leo, A. Mazzacane, J. Vizán, Luca Scodellaro, V. Rusu, M. Lancaster, S. Torre, Fedor Prokoshin, Sandra Leone, A. R. Clark, P. Giromini, Koji Sato, Anna Zanetti, Chen Zhou, J. Lueck, Peter Wittich, P. B. Renton, M. Mussini, Stefano Camarda, T. Harrington-Taber, Y. Zeng, K. Matera, T. Okusawa, L. Pondrom, S. Z. Shalhout, A. Mitra, W. C. Wester, R. Forrest, Y. Seiya, R. McNulty, M. Hare, A. Sukhanov, Sally Seidel, Federico Sforza, Manfred Paulini, G.V. Velev, D. Cruz, W. K. Sakumoto, M. H. Kirby, Elisabetta Pianori, Jane Nachtman, S. Wolbers, A. Pranko, Kevin Burkett, M. Tecchio, James Russ, Kohei Yorita, Stefano Zucchelli, Maxwell Chertok, Caterina Vernieri, Kai Yi, J. Huston, Luigi Marchese, H. Wolfmeister, Y. Sakurai, Michal Kreps, C. Grosso-Pilcher, Y. K. Kim, D. Lucchesi, J. Lys, R. Roser, Ryan Christopher Edgar, P. Murat, T. Liu, M. Shimojima, Fabrizio Scuri, A. Driutti, John Strologas, Lucio Cerrito, L. Nodulman, P. Marino, F. Devoto, Ziqing Hong, Roger Moore, Paul Wilson, Duncan Carlsmith, F. Ptohos, H. H. Williams, Q. Liu, L. B. Oakes, M. J. Morello, F. D. Snider, R. St. Denis, K. Ebina, A. Boveia, J. Y. Han, J. Boudreau, G. P. Yeh, G. Introzzi, A. Robson, R. Orava, A. Anastassov, Christopher Clarke, Walter Hopkins, G. Lungu, A. Napier, Rodolfo Carosi, S. M. Wang, A. T. Laasanen, C. A. Cox, T. Bae, R. D. Field, K. Potamianos, A. Artikov, F. Azfar, Tomoko Yoshida, Sergo Jindariani, U. K. Yang, T. J. Phillips, S. B. Kim, J. S. H. Lee, A. Isgrò, J. Kroll, R. Culbertson, F. Happacher, Matthew Herndon, Andrea Di Luca, J. Budagov, A. Bhatti, S. Rolli, Benjamin Kilminster, Barry Blumenfeld, Roman Lysak, I. Suslov, Sinead Farrington, S. Uozumi, K. Goulianos, Manfredi Ronzani, Aristotle Calamba, S. Poprocki, D. J. Kong, C. Vellidis, J. P. Fernández Ramos, P. de Barbaro, B. Carls, V. Sorin, Franco Bedeschi, P. Lukens, A. Bodek, D. Toback, M. Stancari, Yongsun Kim, A. Golossanov, M. Corbo, Y. C. Chen, S. Tokar, L. Santi, Giorgio Chiarelli, Emanuele Michielin, Mahmoud I. Hussein, Patrizia Barria, B. A. Barnett, T. R. Junk, Teruki Kamon, P. Mazzanti, Bruno Casal, D. Cauz, P. Mehtala, E. Gerchtein, J. Yoh, S. Y. Jun, Matteo Bauce, Antonio Limosani, Robin Erbacher, M. Datta, W-M. Yao, A. T. Goshaw, C. S. Moon, M. Cordelli, G. Busetto, Brian L Winer, D. Glenzinski, S. R. Hou, S. Errede, R. Madrak, J. Naganoma, Giorgio Apollinari, F. Rimondi, Tetsuo Arisawa, B. Esham, D. P. Benjamin, Joachim Heinrich, A. K. Mehta, G. B. Yu, S. Behari, Y. Funakoshi, Y. Kato, J. Guimaraes Da Costa, K. T. Pitts, I. V. Gorelov, Zhenbin Wu, K. Tollefson, Pierfrancesco Butti, A. V. Kotwal, I. Shreyber-Tecker, D. Amidei, Jacobo Konigsberg, Elliot Lipeles, R. E. Hughes, Daniel Whiteson, F. Ruffini, A. Aurisano, J. S. Wilson, N. Giokaris, J. Thom, Kevin Lannon, M. D'Errico, M. E. Convery, Guillelmo Gomez-Ceballos, L. Ortolan, Paul Lujan, Massimo Casarsa, M. Dorigo, P. Catastini, C. Bromberg, A. Barbaro-Galtieri, T. G. Shears, H. S. Lee, and Paolo Maestro

Subjects
Physics, Particle physics, Proton, 010308 nuclear & particles physics, media_common.quotation_subject, High Energy Physics::Phenomenology, Tevatron, Parton, 7. Clean energy, 01 natural sciences, Asymmetry, law.invention, law, Pseudorapidity, 0103 physical sciences, Physics::Accelerator Physics, High Energy Physics::Experiment, Fermilab, Nuclear Experiment, 010306 general physics, Collider, Collider Detector at Fermilab, media_common
Abstract

At the Fermilab Tevatron proton-antiproton ($p\bar{p}$) collider, high-mass electron-neutrino ($e\nu$) pairs are produced predominantly in the process $p \bar{p} \rightarrow W(\rightarrow e\nu) + X$. The asymmetry of the electron and positron yield as a function of their pseudorapidity constrain the slope of the ratio of the $u$- to $d$-quark parton distributions versus the fraction of the proton momentum carried by the quarks. This paper reports on the measurement of the electron-charge asymmetry using the full data set recorded by the Collider Detector at Fermilab in 2001--2011 and corresponding to 9.1~fb$^{-1}$ of integrated luminosity. The measurement significantly improves the precision of the Tevatron constraints on the parton-distribution functions of the proton. Numerical tables of the measurement are provided.

Published
2021

25. Wall-eyed bilateral internuclear ophthalmoplegia (WEBINO): what does it mean to be wall-eyed?

Author

Luke Bennetto and Christian J. Lueck

Subjects
Vestibular system, medicine.medical_specialty, genetic structures, business.industry, Internuclear ophthalmoplegia, Context (language use), General Medicine, Nystagmus, Medial longitudinal fasciculus, medicine.disease, eye diseases, Ocular Motility Disorders, Ophthalmology, Face, Skew deviation, Medicine, Vertical nystagmus, Humans, Neurology (clinical), medicine.symptom, business, Exotropia, Head
Abstract

Martin Lubow (1931–2015)1 is credited with coining the term ‘wall-eyed bilateral internuclear ophthalmoplegia’ (WEBINO).2 Most readers will be familiar with internuclear ophthalmoplegia (INO) and the fact that it can occur bilaterally. So why is WEBINO, as in the case presented by Chen3 in this issue of Practical Neurology , special? INO is caused by damage to the medial longitudinal fasciculus (MLF). This interrupts the nerve fibres connecting the sixth and third nerve nuclei, which facilitate conjugate horizontal eye movement. A unilateral INO causes slowing, or absence, of adduction of the ipsilateral eye and, usually, gaze-evoked nystagmus of the abducting, contralateral eye during attempted contralateral gaze. Interestingly, adduction is not infrequently preserved in the context of convergence.4 Because these are not the only fibres that travel in the MLF, there may be additional abnormalities due to interruption of the vestibular/otolithic pathways, such as skew deviation or vertical nystagmus. If the INO is bilateral, vertical nystagmus is very common and the vertical vestibulo-ocular reflex is demonstrably impaired.5 INO can result from many different underlying pathologies,5 6 though demyelinating disease is the most common cause of bilateral INO and stroke is the most common cause of unilateral INO.6 In spite of the impaired adduction, many patients with an INO are orthophoric in primary position, that is, their eyes point straight ahead. Some exotropia occurs in up to 60% of cases of unilateral INO4 but diplopia is often absent or surprisingly mild.7 A few patients are esotropic (convergent), particularly early on, possibly due to excessive convergence tone. The number of patients who are markedly exotropic (divergent) is surprisingly small, but many of these demonstrate large, wide-angle, exotropia. Bilateral INOs that show this divergence are labelled WEBINO. Of note, …

Published
2021

28. 023 Development of a bedside motion capture system: a pilot study

Author

Diana M. Perriman, Asikuzzaman, Joseph T. Lynch, Wayne Spratford, Christian J. Lueck, Paul Kopanidis, and Mark R. Pickering

Subjects
Mean squared error, Computer science, business.industry, Neurosciences. Biological psychiatry. Neuropsychiatry, Stereoscopy, Gold standard (test), Motion capture, law.invention, law, Trajectory, Range (statistics), A priori and a posteriori, Computer vision, Artificial intelligence, MATLAB, business, computer, RC321-571, computer.programming_language
Abstract

Objectives Pronator drift is one of many clinical signs that would benefit from detailed study, but this requires accurate measurement of movement in three dimensions. The Vicon system is currently considered to be the gold standard for measurement of limb kinetics in a movement analysis lab but it cannot be used at the bedside for many reasons. This study aimed to investigate a portable camera-based motion capture system (MCS) as a clinically-useful alternative. Methods The MCS used two commercially-available cameras arranged so as to permit stereoscopic calculation of depth (i.e. distance from the cameras), and therefore a 3-D representation of movement at the shoulder, elbow and wrist. Data were obtained simultaneously from both movement capture and Vicon systems while three normal subjects simulated four scenarios of the pronator drift test in each limb. Outputs from Vicon and MCS were analysed using Matlab to determine root mean square error (RMSE) in XYZ coordinates. A priori, an acceptable difference was considered to be an average RMSE of Results Collectively, the studies generated 53,424 sets of data. The average RMSE in the XYZ axis was 14.9 mm (range 5.0-20.3 mm). Inaccuracy was greatest at the wrist during trials involving larger degrees of pronation. Conclusion The motion capture system was able to generate a 3-D trajectory of limb motion but further refinement is needed before it can be used for the purposes of clinical measurement.

Published
2021

29. Correlation of MRI Findings With Patterns of Visual Field Loss in Patients With Pituitary Tumors

Author

Christian J. Lueck, Andrew J. Neely, Peter J. Mews, David Ashton, Kate Reid, and Emily J Kane

Subjects
medicine.medical_specialty, genetic structures, Vision Disorders, Optic chiasm, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Image Processing, Computer-Assisted, medicine, Humans, Pituitary Neoplasms, Prospective cohort study, medicine.diagnostic_test, business.industry, Pituitary tumors, Retinal, Magnetic resonance imaging, Compression (physics), medicine.disease, Magnetic Resonance Imaging, eye diseases, Peripheral, Visual field, Ophthalmology, medicine.anatomical_structure, chemistry, Optic Chiasm, 030221 ophthalmology & optometry, Visual Field Tests, Neurology (clinical), Radiology, Visual Fields, business, 030217 neurology & neurosurgery
Abstract

Background Compression of the optic chiasm by pituitary tumors typically results in bitemporal hemianopia, implying that nasal retinal fibers are preferentially damaged. The reason for this is not clear. One theory suggests that nasal fibers are selectively vulnerable simply because they cross each other. This study investigated the "crossing theory" by correlating visual field (VF) loss with chiasmal elevation and with the degree of eccentric compression on MRI scans. Methods Our hospital database was searched to identify patients with a) chiasmal compression by a pituitary tumor; b) documented preoperative evidence of VF loss; and c) preoperative MRI scan performed within 1 month of VF testing. Temporality and bitemporality indices were derived from pattern deviation VF plots. Elevations of the central and peripheral parts of the chiasm were obtained from MRI scans, from which the eccentricity of compression was calculated. Temporality indices and hemifield loss were compared with central chiasmal elevation, and nasal hemifield loss in each eye was plotted against eccentricity. Results Eleven patients were suitable for analysis. The degree of bitemporal VF involvement was significantly correlated with elevation of the central chiasm (P = 0.004). However, there was minimal involvement of nasal VFs, and no demonstrable increase in nasal field loss with increasing eccentricity of compression. Conclusions This study provides support for the crossing theory. These findings will inform further finite element models of chiasmal compression. A larger, prospective study is planned.

Published
2019

30. Is Positioning During Lumbar Puncture Clinically Significant?

Author

Christian J. Lueck and Collin M. McClelland

Subjects
medicine.medical_specialty, medicine.diagnostic_test, Lumbar puncture, business.industry, Surgery, 03 medical and health sciences, Ophthalmology, 0302 clinical medicine, Text mining, medicine, 030212 general & internal medicine, Neurology (clinical), business, 030217 neurology & neurosurgery
Published
2019

31. Vogt-Koyanagi-Harada syndrome: what neurologists need to know

Author

Christian J. Lueck

Subjects
medicine.medical_specialty, Neurology, business.industry, General Medicine, Disease, medicine.disease, Dermatology, eye diseases, 03 medical and health sciences, 0302 clinical medicine, Humans, Medicine, 11-beta-Hydroxysteroid Dehydrogenases, Neurology (clinical), Vogt-Koyanagi-Harada syndrome, Uveomeningoencephalitic Syndrome, business, HLA-DRB1, Meningitis, Immunosuppressive Agents, 030217 neurology & neurosurgery, Poliosis, Uveitis, Inflammatory disorder
Abstract

Vogt-Koyanagi-Harada syndrome (VKHS) is a multisystem disorder that typically presents with bilateral uveitis, often associated with neurological and/or audiological features. However, it can present with neurological features before the ocular changes become apparent. VKHS is well known to ophthalmologists: though less common in Caucasians, it can be responsible for up to 20% of presentations with acute uveitis in certain racial groups.1 2 Neurologists rarely encounter it, meaning that they can be caught off guard, as in the case of acute meningitis reported by Street and colleagues in this issue of Practical Neurology .3 Early diagnosis is important as this allows appropriate early treatment which in turn is associated with a better visual outcome.4 5 This article will provide a brief overview but the interested reader is referred to recent excellent reviews for more information.1 2 6 VKHS was probably described as early as the 12th century7 but the first ‘modern’ description was in 1906 by Alfred Vogt, a Swiss ophthalmologist who described a 16-year-old with iridocyclitis and poliosis of the eyelashes.8 Two Japanese ophthalmologists, Yoshizo Koyanagi and Einosuke Harada, subsequently published case series in 1929 and 1926, respectively.9 10 The term ‘Vogt-Koyanagi disease’ was coined in 193911 and was used in parallel with ‘Harada’s disease’12 until the modern term, Vogt-Koyanagi-Harada syndrome was introduced in about 1955.7 VKHS is an autoimmune, granulomatous, inflammatory disorder mediated by CD4+T cells that target melanocytic antigens, probably the enzyme tyrosinase. These antigens are most widely found in eye, central nervous system, inner ear and skin. The trigger is unknown but a viral cause has been postulated, and there does appear to be a genetic influence, with increased susceptibility in people with certain HLA haplotypes, particularly HLA DRB1*0405 and HLA-DQ4.2 13 Ocular histology shows a …

Published
2019

32. Unequal pupils: Understanding the eye’s aperture

Author

Rachael C. Heath Jeffery, Christian J. Lueck, Braden A Young, and Peter G. Swann

Subjects
genetic structures, Referral, Pupil, 03 medical and health sciences, 0302 clinical medicine, Photophobia, Afferent Pupillary Defect, Small pupil, medicine, Humans, Anisocoria, 030504 nursing, medicine.diagnostic_test, business.industry, 030206 dentistry, eye diseases, Eye abnormality, Underlying disease, Eye examination, Optometry, sense organs, medicine.symptom, 0305 other medical science, Family Practice, business
Abstract

Background Unequal pupils (anisocoria) may be physiological, pathological or pharmacological. Importantly, anisocoria can indicate underlying disease of the eye, orbit, brain, neck or chest. Examination of the pupils is therefore a crucial part of any eye examination. Objective As a clinician, it is important to determine whether a patient with anisocoria can be reassured or requires referral for further investigation. This review examines the anatomy of the pupillary pathway, and provides a structured approach to examination of the pupils. The aim is to provide clinicians with confidence when encountering patients with anisocoria. Discussion Anisocoria can imply serious underlying pathology, so accurate pupil testing and astute observation are paramount. This review discusses the differential diagnosis of a large pupil (anisocoria more obvious in the light) and a small pupil (anisocoria more obvious in the dark), and discusses the relevant afferent pupillary defect, in which there is no anisocoria but both pupils react differently depending on which eye is illuminated.

Published
2019

33. Illusions, hallucinations, and visual snow

Author

Clare L, Fraser and Christian J, Lueck

Subjects
Hallucinations, Migraine Disorders, Schizophrenia, Vision Disorders, Humans, Illusions
Abstract

Illusions and hallucinations are commonly encountered in both daily life and clinical practice. In this chapter, we review definitions and possible underlying mechanisms of these phenomena and then review what is known about specific conditions that are associated with them, including ophthalmic causes, migraine, epilepsy, Parkinson's disease, and schizophrenia. We then discuss specific syndromes including the Charles Bonnet syndrome, visual snow syndrome, Alice in Wonderland syndrome, and peduncular hallucinosis. The scientific study of illusions and hallucinations has contributed significantly to our understanding of how eye and brain process vision and contribute to perception. Important concepts are the distinction between topologic and hodologic mechanisms underlying hallucinations and the involvement of attentional networks. This chapter examines the various ways in which pathological illusions and hallucinations might arise in relation to the phenomenology and known pathology of the various conditions associated with them.

Published
2021

36. Illusions, hallucinations, and visual snow

Author

Clare L. Fraser and Christian J. Lueck

Subjects
Parkinson's disease, media_common.quotation_subject, 05 social sciences, Illusion, Peduncular hallucinosis, Visual snow, medicine.disease, 050105 experimental psychology, Alice in Wonderland syndrome, 03 medical and health sciences, 0302 clinical medicine, Schizophrenia, Perception, medicine, Charles Bonnet syndrome, 0501 psychology and cognitive sciences, medicine.symptom, Psychology, 030217 neurology & neurosurgery, media_common, Cognitive psychology
Abstract

Illusions and hallucinations are commonly encountered in both daily life and clinical practice. In this chapter, we review definitions and possible underlying mechanisms of these phenomena and then review what is known about specific conditions that are associated with them, including ophthalmic causes, migraine, epilepsy, Parkinson's disease, and schizophrenia. We then discuss specific syndromes including the Charles Bonnet syndrome, visual snow syndrome, Alice in Wonderland syndrome, and peduncular hallucinosis. The scientific study of illusions and hallucinations has contributed significantly to our understanding of how eye and brain process vision and contribute to perception. Important concepts are the distinction between topologic and hodologic mechanisms underlying hallucinations and the involvement of attentional networks. This chapter examines the various ways in which pathological illusions and hallucinations might arise in relation to the phenomenology and known pathology of the various conditions associated with them.

Published
2021

37. Which features of postural sway are effective in distinguishing Parkinson's disease from controls? A systematic review

Author

Deborah Apthorp, Wenbo Ge, Christian J. Lueck, and Hanna Suominen

Subjects
medicine.medical_specialty, Parkinson's disease, Reviews, Neurosciences. Biological psychiatry. Neuropsychiatry, Review, postural control, 050105 experimental psychology, Postural control, 03 medical and health sciences, Behavioral Neuroscience, 0302 clinical medicine, Physical medicine and rehabilitation, Discriminative model, systematic review, medicine, Humans, 0501 psychology and cognitive sciences, Postural Balance, business.industry, 05 social sciences, Parkinson Disease, medicine.disease, machine learning, Feature (computer vision), meta‐analysis, Meta-analysis, business, 030217 neurology & neurosurgery, RC321-571
Abstract

Background Postural sway may be useful as an objective measure of Parkinson's disease (PD). Existing studies have analyzed many different features of sway using different experimental paradigms. We aimed to determine what features have been used to measure sway and then to assess which feature(s) best differentiate PD patients from controls. We also aimed to determine whether any refinements might improve discriminative power and so assist in standardizing experimental conditions and analysis of data. Methods In this systematic review of the literature, effect size (ES) was calculated for every feature reported by each article and then collapsed across articles where appropriate. The influence of clinical medication status, visual state, and sampling rate on ES was also assessed. Results Four hundred and forty‐three papers were retrieved. 25 contained enough information for further analysis. The most commonly used features were not the most effective (e.g., PathLength, used 14 times, had ES of 0.47, while TotalEnergy, used only once, had ES of 1.78). Increased sampling rate was associated with increased ES (PathLength ES increased to 1.12 at 100 Hz from 0.40 at 10 Hz). Measurement during “OFF” clinical status was associated with increased ES (PathLength ES was 0.83 OFF compared to 0.21 ON). Conclusions This review identified promising features for analysis of postural sway in PD, recommending a sampling rate of 100 Hz and studying patients when OFF to maximize ES. ES complements statistical significance as it is clinically relevant and is easily compared across experiments. We suggest that machine learning is a promising tool for the future analysis of postural sway in PD., Existing studies have analyzed many different features of postural sway in an attempt to characterize Parkinson's disease. Here, we perform a systematic literature review and find the effect size of those features collapsed across several articles. The purpose of this was to create a comprehensive list of features that have been adequately explored, what features require more investigation, and what features are yet to be explored at all.

Published
2021

39. Postural sway correlates with cognition and quality of life in Parkinson's disease

Author

Deborah Apthorp, Susanne U. Ilschner, Robin Vlieger, Christian J. Lueck, Alexander Smith, Jeffrey C.L. Looi, and Chandi Das

Subjects
cognition, medicine.medical_specialty, Parkinson's disease, Neuropsychiatry, 03 medical and health sciences, 0302 clinical medicine, Physical medicine and rehabilitation, Quality of life, Rating scale, medicine, Verbal fluency test, motor physiology, Cognitive neuropsychology, Original Research, business.industry, Montreal Cognitive Assessment, Cognition, 030229 sport sciences, medicine.disease, Neurology, cognitive neuropsychology, Neurology (clinical), business, 030217 neurology & neurosurgery
Abstract

BackgroundThe severity of Parkinson’s disease (PD) is difficult to assess objectively owing to the lack of a robust biological marker of underlying disease status, with consequent implications for diagnosis, treatment and prognosis. The current standard tool is the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS), but this is hampered by variability between observers and within subjects. Postural sway has been shown to correlate with complex brain functioning in other conditions. This study aimed to investigate the relationship between postural sway, MDS-UPDRS and other non-motor measures of disease severity in patients with PD.Method25 patients with PD and 18 age-matched controls participated in the study. All participants underwent assessment of postural sway using a force plate, with eyes open and closed. In addition, participants underwent tests of cognition and quality of life: Montreal Cognitive Assessment (MoCA), Neuropsychiatry Unit Cognitive Assessment (NUCOG) and, for the patients, the Parkinson’s Disease Questionnaire (PDQ-39–1), and assessment of clinical status using the motor component of the MDS-UPDRS.ResultsPatients swayed significantly more than controls. This was most obvious in the eyes-closed condition. Sway path length showed strong correlations with PDQ-39–1, MoCA and the verbal fluency component of the NUCOG, and, to a lesser degree, with the UPDRS-III in patients with PD.ConclusionThese results suggest that motor and non-motor symptoms of PD are associated in patients, and, in particular, that postural sway shows potential as a possible measure of underlying disease status in PD, either alone or in combination with other measures.

Published
2020

40. Neuroretinitis: a tricky mimic

Author

Christian J. Lueck

Subjects
medicine.medical_specialty, Neurology, genetic structures, Neuro-ophthalmology, 03 medical and health sciences, 0302 clinical medicine, Hypertensive retinopathy, Ophthalmology, medicine, Humans, Optic neuritis, Retina, business.industry, Multiple sclerosis, Retinitis, General Medicine, medicine.disease, eye diseases, medicine.anatomical_structure, Chorioretinitis, Hard exudates, Optic disc swelling, sense organs, Neurology (clinical), business, 030217 neurology & neurosurgery
Abstract

Neuroretinitis is relatively rare. It refers to the triad of subacute visual loss, optic disc swelling and a macular star (figure 1), often in association with cells in the vitreous.1–4 An illustrative case is presented in this issue of Practical Neurology .5 The macular star typically takes 1–2 weeks to develop, meaning that it is usually not possible to make the diagnosis when the patient first presents. At that time, the condition may resemble, and be misdiagnosed as, idiopathic demyelinating optic neuritis (IDON) with the potential for inappropriate use of multiple sclerosis disease-modifying agents or, alternatively, failure to treat a preventable cause of visual loss. It is therefore important that neurologists are aware of this condition.6 Figure 1 Macular star. Reprinted with permission from Weerasinghe and Lueck.6 The radial arrangement of the hard exudates in a macular star arises from the anatomy of the outer plexiform layer of the retina, and not all macular stars are perfectly formed.5 The combination of optic disc oedema with a macular star2 can occur in conditions other than neuroretinitis, the most frequent being hypertensive retinopathy (see table 1). Most masqueraders …

Published
2020

41. Variation in the Anatomy of the Normal Human Optic Chiasm: An MRI Study

Author

Christian J. Lueck, Nicholas S I Bosler, David Ashton, and Andrew J. Neely

Subjects
2d images, Adult, Male, Photomicrography, Optic tract, Optic chiasm, Width ratio, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Medicine, Humans, Aged, business.industry, Population variation, Optic Nerve, Anatomy, Middle Aged, Magnetic Resonance Imaging, eye diseases, Healthy Volunteers, Ophthalmology, medicine.anatomical_structure, Healthy individuals, Optic Chiasm, 030221 ophthalmology & optometry, Chiasmal compression, Female, Neurology (clinical), business, 030217 neurology & neurosurgery
Abstract

Background Compression of the optic chiasm typically leads to bitemporal hemianopia. This implies that decussating nasal fibers are selectively affected, but the precise mechanism is unclear. Stress on nasal fibers has been investigated using finite element modeling but requires accurate anatomical data to generate a meaningful output. The precise shape of the chiasm is unclear: A recent photomicrographic study suggested that nasal fibers decussate paracentrally and run parallel to each other in the central arm of an "H." This study aimed to determine the population variation in chiasmal shape to inform future models. Methods Sequential MRI scans of 68 healthy individuals were selected. 2D images of each chiasm were created and analyzed to determine the angle of elevation of the chiasm, the width of the chiasm, and the offset between the points of intersection of lines drawn down the centers of the optic nerves and contralateral optic tracts. Results The mean width of the chiasm was 12.0 ± 1.5 mm (SD), and the mean offset was 4.7 ± 1.4 mm generating a mean offset:width ratio of 0.38 ± 0.09. No chiasm had an offset of zero. The mean incident angle of optic nerves was 56 ± 7°, and for optic tracts, it was 51 ± 7°. Conclusions The human optic chiasm is "H" shaped, not "X" shaped. The findings are consistent with nasal fibers decussating an average of 2.4 mm lateral to the midline before travelling in parallel across the midline. This information will inform future models of chiasmal compression.

Published
2020

42. Abstract WP425: Code Stroke Improves Access to Nurse Led Evidence-based Stroke Interventions: Subgroup Analysis of the Code Stroke 2.0 Feasibility Study

Author

Chris Burrows, Brett Jones, Ben McElduff, Elizabeth McInnes, Christian J. Lueck, Mary Doncillo, Simeon Dale, Simogne Wright, Oyebola Fasugba, Sandy Middleton, Manju John, and Catherine D'Este

Subjects
Advanced and Specialized Nursing, medicine.medical_specialty, Evidence-based practice, business.industry, Psychological intervention, Subgroup analysis, Emergency department, medicine.disease, Dysphagia, Nurse led, Emergency medicine, Medicine, Neurology (clinical), medicine.symptom, Cardiology and Cardiovascular Medicine, business, Stroke
Abstract

Introduction: Fever, Sugar and Swallow (FeSS) protocols following stroke reduce death and dependency. Introduction of the protocols in the T 3 Trial did not improve Emergency Department (ED) stroke care processes. The CodeStroke2.0 study involved expansion of the acute stroke nurse role to include FeSS implementation but not all post-intervention cohort patients received a CodeStroke2.0 activation. Our secondary analysis determined how effective the intervention was compared to patients who did not receive a CodeStroke2.0 activation. Methods: This single-centre, pre-test/post-test feasibility study compared patients who received the CodeStoke2.0 activation with those who did not as measured by: ED length of stay, uptake of FeSS processes of care, and thrombolysis metrics. Differences between groups were examined using logistic regression, adjusting for age, sex and stroke severity. Results: Of the 117 patients recruited to the post-intervention cohort, 72 (61.5%) received a CodeStroke2.0 activation. CodeStroke2.0 patients had a non-significant higher proportion of temperatures taken (77.8% vs 66.7% P=0.260) and significantly higher finger prick blood glucose tests (43.1% vs 17.8% P=0.030). Oral medications prior to screening was significantly lower in the CodeStroke2.0 group (4.2% Vs 28.9% P=0.001) who also were more likely to be screened for thrombolysis eligibility (93.1% Vs 60.0% P=0.001) and receive thrombolysis (19.4% Vs 2.2% P=0.052). ED length of stay was reduced with a higher proportion of patients transferred to the Stroke Unit within 4 hours of arrival (51.4% Vs 24.4% P=0.036). Conclusion: CodeStroke2.0 activation was associated with improved FeSS processes of care, thrombolysis and ED length of stay. This novel expansion of the acute stroke nurse role as part of routine stroke care demonstrated improved evidence translation - vital for better patient care.

Published
2020

43. Effect of Positioning on Intracranial Pressure: Response

Author

Christian J. Lueck, Collin M. McClelland, Gregory P. Van Stavern, and Andrew G. Lee

Subjects
medicine.medical_specialty, Intracranial Pressure, business.industry, Posture, Spinal Puncture, Ophthalmology, Text mining, Internal medicine, medicine, Cardiology, Humans, Neurology (clinical), business, Intracranial pressure
Published
2020

44. Anticoagulant prescribing in patients with ischaemic stroke: what has changed over a decade?

Author

Angelos Sharobeam, Chandi Das, Brett Jones, Aidan Watters, and Christian J. Lueck

Subjects
medicine.medical_specialty, medicine.drug_class, Administration, Oral, 030204 cardiovascular system & hematology, Brain Ischemia, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Ischaemic stroke, Atrial Fibrillation, Internal Medicine, medicine, Humans, In patient, 030212 general & internal medicine, Stroke, Ischemic Stroke, business.industry, Anticoagulant, Warfarin, Anticoagulants, Atrial fibrillation, medicine.disease, Oral anticoagulant, business, medicine.drug
Abstract

A study at our institution conducted 10 years ago identified that warfarin was under-utilised in patients with atrial fibrillation. We replicated this study and compared the results. There was a significant increase in the proportion of patients appropriately anticoagulated (63% vs 9%, P

Published
2020

45. The Visual Agnosias and Related Disorders

Author

Sameen Haque, Michael S. Vaphiades, and Christian J. Lueck

Subjects
genetic structures, business.industry, 05 social sciences, medicine.disease, Pure alexia, eye diseases, 050105 experimental psychology, Cerebral achromatopsia, Visual processing, 03 medical and health sciences, Ophthalmology, 0302 clinical medicine, medicine.anatomical_structure, Visual cortex, Cerebral cortex, Agnosia, Akinetopsia, medicine, 0501 psychology and cognitive sciences, Neurology (clinical), medicine.symptom, business, Neuroscience, 030217 neurology & neurosurgery, Simultanagnosia
Abstract

Background There are many disorders of higher visual processing that result from damage to specific areas of the cerebral cortex that have a specific role in processing certain aspects (modalities) of vision. These can be grouped into those that affect the ventral, or "what?", pathway (e.g., object agnosia, cerebral achromatopsia, prosopagnosia, topographagnosia, and pure alexia), and those that affect the dorsal, or "where?", pathway (e.g., akinetopsia, simultanagnosia, and optic ataxia). Evidence acquisition This article reviews pertinent literature, concentrating on recent developments in basic science research and studies of individual patients. Results An overview of the current understanding of higher cerebral visual processing is followed by a discussion of the various disorders listed above. Conclusions There has been considerable progress in the understanding of how the extrastriate visual cortex is organized, specifically in relation to functionally specialized visual areas. This permits a better understanding of the individual visual agnosias resulting from damage to these areas.

Published
2018

46. Australian driving restrictions: how well do neurologists know them?

Author

Patricia Caruana, Andrew Hughes, Christian J. Lueck, and Rodney A. Lea

Subjects
Benign paroxysmal positional vertigo, business.industry, Medical school, medicine.disease, 03 medical and health sciences, Vasovagal episode, 0302 clinical medicine, Internal Medicine, Medicine, 030212 general & internal medicine, Medical emergency, Epileptic seizure, medicine.symptom, business, 030217 neurology & neurosurgery
Abstract

Driving regulations are complex, particularly for neurological conditions, but accurate application of restrictions is important. This study was designed to investigate knowledge of the Austroads guidelines in medical students, neurological trainees and consultant neurologists using a questionnaire addressing both private and commercial licence restrictions related to five common neurological conditions, namely transient ischaemic attack (TIA), vasovagal episode, unwitnessed blackout, first epileptic seizure and benign paroxysmal positional vertigo. In total, 118 of the 120 returned responses could be analysed. Overall, 50% of all responses were correct. Respondents performed better for private than commercial licences, and consultants performed better than trainees and students. The highest proportion of correct answers was seen for vasovagal attack, and the lowest for TIA. In summary, knowledge of driving restrictions was relatively poor, and regular consultation of the guidelines is recommended. A larger study is warranted and increased education at both medical school and postgraduate levels should be considered.

Published
2018

47. Factors delaying intravenous thrombolytic therapy in acute ischaemic stroke: a systematic review of the literature

Author

Angelos, Sharobeam, Brett, Jones, Dianne, Walton-Sonda, and Christian J, Lueck

Subjects
Stroke, Fibrinolytic Agents, Tissue Plasminogen Activator, Humans, Thrombolytic Therapy, Aged, Brain Ischemia, Ischemic Stroke
Abstract

This review examined factors that delay thrombolysis and what management strategies are currently employed to minimise this delay, with the aim of suggesting future directions to overcome bottlenecks in treatment delivery.A systematic review was performed according to PRISMA guidelines. The search strategy included a combination of synonyms and controlled vocabularies from Medical Subject Headings (MeSH) and EmTree covering brain ischemia, cerebrovascular accident, fibrinolytic therapy and Alteplase. The search was conducted using Medline (OVID), Embase (OVID), PubMed and Cochrane Library databases using truncations and Boolean operators. The literature search excluded review articles, trial protocols, opinion pieces and case reports. Inclusion criteria were: (1) The article directly related to thrombolysis in ischaemic stroke, and (2) The article examined at least one factor contributing to delay in thrombolytic therapy.One hundred and fifty-two studies were included. Pre-hospital factors resulted in the greatest delay to thrombolysis administration. In-hospital factors relating to assessment, imaging and thrombolysis administration also contributed. Long onset-to-needle times were more common in those with atypical, or less severe, symptoms, the elderly, patients from lower socioeconomic backgrounds, and those living alone. Various strategies currently exist to reduce delays. Processes which have achieved the greatest improvements in time to thrombolysis are those which integrate out-of-hospital and in-hospital processes, such as the Helsinki model.Further integrated processes are required to maximise patient benefit from thrombolysis. Expansion of community education to incorporate less common symptoms and provision of alert pagers for patients may provide further reduction in thrombolysis times.

Published
2019

48. Combined Forward-Backward Asymmetry Measurements in Top-Antitop Quark Production at the Tevatron

Author

M. Franklin, Gavin Davies, Lorenzo Santi, Y. Scheglov, A. Ruiz, K. Yi, Ping-Kun Teng, Jan Stark, S. Carrillo, Martin Grunewald, Milos Lokajicek, Darien Wood, S. Blessing, P. F. Ding, Scott Snyder, Jonathan Wilson, M. Herndon, Cecilia Elena Gerber, Luigi Marchese, Cecile Deterre, M. Lancaster, Tiehui Ted Liu, Prabhakar Palni, R. St. Denis, A. Fauré, Nikos Varelas, Sally Seidel, C. L. McGivern, Bing Zhou, P. Barria, D. A. Stoyanova, G. Piacentino, L. Brigliadori, Sergey Burdin, Chen Zhou, S. Bhatia, C. Royon, G. Ginther, M. H.L.S. Wang, Taegil Bae, M. C. Cousinou, Pierfrancesco Butti, Y. Seiya, G. Gomez, Christoph Paus, M. Cooke, S. Cihangir, Robert Hirosky, I. Howley, Fumihiko Ukegawa, Kristian Harder, A. Anastassov, Don Lincoln, Erich Varnes, Y. N. Kharzheev, Suyong Choi, P. H. Garbincius, A. Das, P. Svoisky, L. Oakes, S. Fuess, L. Pondrom, Jianming Qian, B. Kilminster, B. Casal, Pietro Marino, Giorgio Bellettini, R. Wallny, Hui Li, M. J. Shochet, Ron Lipton, Y. Sakurai, Virgil E Barnes, John Christian Freeman, K. Devaughan, Andreas Werner Jung, F. Ptohos, A. Elagin, Peter Wagner, Gueorgui Velev, Elliot Lipeles, K. Potamianos, DongHee Kim, S. Rolli, A. Di Canto, Marcelo Vogel, Hugh Williams, M. Iori, Robert Kehoe, Graham Wilson, Massimo Casarsa, W. H. Hopkins, Jongmin Lee, Lidija Zivkovic, Y. D. Oh, A. Kumar, Howard Scott Budd, Christopher Clarke, W. Ketchum, Philip Baringer, Hyun-Chul Kim, T. Kurca, A. Evdokimov, J. Kraus, Matthias Schott, K. Herner, J. Budagov, V. Gavrilov, S. Banerjee, T. Wright, Matthew T Jones, Aliaksandr Pranko, Gordon Watts, Romain Madar, D. Jang, N. Moggi, B. Di Ruzza, Ashutosh Kotwal, N. K. Mondal, Ting Miao, D. Boline, H. T. Diehl, M. Vesterinen, Jieun Kim, Andrew Askew, S. W. Lee, M. M. Deninno, Markus Wobisch, G. Latino, J. Zennamo, A. Dubey, Michael Mulhearn, A. Loginov, L. Feng, G. Golovanov, T. Kamon, Jay Dittmann, S. Amerio, T. Kuhr, A. Simonenko, L. S. Vertogradov, W. Geng, P. Lukens, Boris Tuchming, V. Glagolev, D. Stentz, A. S. Ito, T. Aaltonen, B. Hoeneisen, D. J. Cox, Q. Liu, D. Cruz, C. Bromberg, J. Clutter, Maxim Perfilov, R. McNulty, M. Hare, A. Drutskoy, J. K. Lim, A. Lucà, K. Pitts, Y. T. Tsai, C. Pagliarone, A. Boehnlein, Mark Raymond Adams, D. Karmanov, H. Hegab, V. Parihar, E. De La Cruz-Burelo, Stefano Giagu, John Hobbs, M. Hohlfeld, Antonio Boveia, Gregorio Bernardi, B. Carls, V. Sorin, A. Mazzacane, A. V. Popov, R. D. Schamberger, J. T. Linnemann, U. K. Yang, J. Nachtman, A. S. Santos, E. Brucken, Phillip Gutierrez, Frederic Deliot, G. P. Yeh, Douglas Benjamin, C. S. Moon, D. Menezes, Stanislav Tokár, Kohei Yorita, D. Glenzinski, Hal Evans, T. Head, D.P. Brown, Seo-Young Noh, P. Mazzanti, J. R. Smith, G. B. Yu, J. Ellison, Emanuela Barberis, Yuji Enari, K. Soustruznik, Elemer Nagy, S. Y. Jun, G. Savage, T. G. Zhao, W. Ye, V. Aushev, J. Conway, Thomas Ferbel, M. Prewitt, Nazar Stefaniuk, Yuji Takeuchi, J. Weichert, Song-Ming Wang, Y. Aushev, G. Grenier, F. Miconi, E. Kajfasz, A. P. Heinson, J. Boudreau, Jose Andres Garcia-Gonzalez, Kazuhiro Yamamoto, M. Savitskyi, Andrew Brandt, L. Bellantoni, A. Ivanov, S. Dutt, S. Caughron, C. Galloni, J. Nett, J. Warchol, J. Konigsberg, A. Kasmi, Pavol Bartos, L. Bagby, Oleg Brandt, Bjoern Penning, Franco Rimondi, Maria Rescigno, H. E. Fisk, D. Lucchesi, W. Ashmanskas, Sudhir Malik, L. Ristori, Ia Iashvili, Adrian Buzatu, J. Keung, G. C. Blazey, D. Torretta, L. Nodulman, A. Sukhanov, Andrew Beretvas, Brajesh C Choudhary, V. V. Lipaev, J. Lellouch, M. A. Pleier, A. Alton, T. Nigmanov, A. Mukherjee, R. Forrest, Giovanni Busetto, Y. Sudo, I. Suslov, Maxim Goncharov, Kunitaka Kondo, Richard D Field, V. E. Bazterra, N. Khalatyan, R. Ruchti, Thibault Guillemin, P. D. Grannis, P. Jiang, R. Yamada, P. Mehtala, Sandra Leone, P. Totaro, I. Ripp-Baudot, Hao Song, L. Scodellaro, J. Orduna, T. Yoshida, Manfredi Ronzani, Sinead Farrington, Andrea Bocci, D. Li, V. L. Malyshev, A. Y. Verkheev, Jeffrey A. Appel, S. Lammel, Giovanni Punzi, O. Norniella, Manfred Paulini, Manuela Campanelli, V. A. Kuzmin, H. Wolfmeister, Fabrice Couderc, F. Badaud, F. Happacher, B. Baldin, N. d’Ascenzo, M. Borysova, Sung Keun Park, Guillelmo Gomez-Ceballos, M. Titov, Christopher George Tully, Aran Garcia-Bellido, K. Hatakeyama, Young-Jin Kim, R. Illingworth, D. Mietlicki, Mitchell Wayne, H. Schellman, S. Torre, J. M. Kohli, L. Ortolan, D. Cauz, W. E. Cooper, A. Jayasinghe, P. Slattery, V. Giakoumopoulou, A. Sánchez-Hernández, S. Poprocki, E. Gramellini, William Wester, Adam Aurisano, S. J. De Jong, C. Hensel, P. Skubic, Joey Huston, P. Wittich, Ziqing Hong, Katsufumi Sato, O. Gogota, B. Jayatilaka, Daniel R Claes, R. Vilar, B. Auerbach, Liang Li, M. Corbo, Jean-Arcady Meyer, Davit Chokheli, J. Y. Han, F. Margaroli, O. Gonzalez Lopez, A. Bhatti, D. Hedin, F. Devoto, S. Leo, M. Mussini, V. Rusu, L. Welty-Rieger, Marc Besancon, Stefan Grünendahl, Elizaveta Shabalina, M. J. Morello, S. R. Hou, P. E. Karchin, A. Chapelain, S. Errede, Eugene E. Schmidt, Emily Johnson, D. Yamato, A. Golossanov, Vaia Papadimitriou, Alessandro Cerri, A. Mitra, Marco Verzocchi, G. Flanagan, J. P. Agnew, Dmitri Tsybychev, P. Lebrun, Yongsun Kim, Lev Dudko, Nikos Giokaris, A. Grohsjean, Y. C. Chen, V. Saveliev, Dmitri Denisov, J. Russ, Stephen R. Hahn, M. Kurata, R. Madrak, M. Buehler, J. Naganoma, L. Sonnenschein, L. Demortier, Chris Hays, Seog Oh, J. Sekaric, Michael A. Strauss, Maxwell Chertok, A. Patwa, H. Gerberich, J. Joshi, J. Martínez-Ortega, Yang Yang, Zdenek Hubacek, E. Palencia, Giorgio Chiarelli, R. E. Hughes, J. Antos, B. A. Barnett, Giorgio Apollinari, Pedro G Mercadante, S. Atkins, G. Pauletta, Adam L. Lyon, J. P. Negret, Victor Daniel Elvira, K. R. Bland, K. Takemasa, V. M. Podstavkov, P. F. Shepard, Arnaud Duperrin, Carlos Avila, K. Lannon, Eric B James, E. J. Jeon, F. Vázquez, D. Waters, Kazuhiko Hara, M. Fortner, A. Chandra, Satoru Uozumi, U. Bassler, S. Kim, Mark Edward Mattson, Alberto Annovi, S. Zucchelli, Ulrich Heintz, S. Söldner-Rembold, M. Eads, Kenneth Johns, J. Vizán, Marcia Begalli, M. Jaffré, C. A. Cox, Joseph Haley, H. Miyake, J. L. Holzbauer, Kihyeon Cho, Yoshikazu Nagai, P. N. Ratoff, Y. Peters, J. Franc, R. Luna-Garcia, Mousumi Datta, J. Lueck, Lucio Cerrito, R. Roser, Frank Filthaut, Regina Demina, Meenakshi Narain, J. Yoh, F. Bedeschi, T. Harrington-Taber, Y. Zeng, N. Prokopenko, M. Kambeitz, Mark Richard James Williams, Michael Hildreth, W. M. Lee, H. Greenlee, Claus P. Buszello, Ph Gris, T. Hoang, Yujiro Funakoshi, M. Diesburg, Darren Price, Hang Yin, A. Bross, R. Magaña-Villalba, G. Chen, J. Snow, A. A. Shchukin, E. Gerchtein, Fedor Prokoshin, H. T. Nguyen, M. Hussein, S. Z. Shalhout, R. Nayyar, S. Uzunyan, V. Bhatnagar, Alexander Kupco, Emilien Chapon, V. Simak, P. de Barbaro, T. Okusawa, T. Scanlon, T. Yang, Guennadi Borissov, J. Strologas, Y. A. Yatsunenko, Arnd Meyer, T. Rodriguez, James Nugent Bellinger, M. Cordelli, S. Kermiche, Anthony Ross, Shabnam Jabeen, Savanna Marie Shaw, Suman Bala Beri, Barry Blumenfeld, B. L. Winer, T. Tomura, Frank Fiedler, J. Asaadi, M. Merkin, Pierluigi Catastini, S. Chakrabarti, I. Katsanos, M. Dorigo, I. Heredia-De La Cruz, E. E. Boos, N. Parua, M. Tecchio, D. Toback, Arnulf Quadt, Alexander Khanov, R. Carosi, Alfred Goshaw, V. Hynek, A. Hocker, R. Bernhard, Amnon Harel, C. Schwanenberger, U. Husemann, Heriberto Castilla-Valdez, W. C. Fisher, W. Parker, M. Kaur, V. V. Tokmenin, G. Alkhazov, Charles Plager, Roman Lysak, S. Donati, K. Matera, D. Amidei, J. M. Yu, Karen Ruth Gibson, Antonio Limosani, P. Rubinov, M. Vidal, D. Vilanova, M. Cremonesi, Q. Z. Li, Lev Uvarov, V. M. Abazov, P. Wilson, Naoki Kimura, Mark Kruse, Alison Lister, I. Kiselevich, Bobby Samir Acharya, H. A. Neal, V. Shary, Daniela Bortoletto, S. Wilbur, C.M. Ginsburg, Pushpalatha C Bhat, Raymond Brock, K. Yip, S. H. Kim, D. V. Bandurin, Raymond Lloyd Culbertson, Jeremy Lys, R. Van Kooten, Neeti Parashar, J. Hogan, A. Juste, K. Petridis, T. Nunnemann, R. Beuselinck, W-M. Yao, Todd Adams, Javier Cuevas, V. Thukral, Jason Dhia Mansour, S. Greder, Iain Alexander Bertram, G. Chlachidze, Yanwen Liu, H. Frisch, A. K.A. Maciel, Lee Sawyer, C. Vellidis, S. Moed, K. Goulianos, Y. Xie, Fabrizio Scuri, J. P. Fernández Ramos, P. Giromini, Michal Kreps, A. Artikov, I. Razumov, M. Zielinski, A. Barbaro-Galtieri, M. D. Corcoran, Gianluca Introzzi, W. Badgett, M. Stancari, Arie Bodek, J. Hays, G. Gutierrez, P. Renton, Evelyn Thomson, V. N. Evdokimov, Th. Müller, M. Rominsky, M. Shimojima, K. Sliwa, P. Neustroev, Sabine Lammers, N. Osman, Liyuan Han, Jakub Cúth, A. Driutti, G. Lungu, R. Jesik, Kyung Kwang Joo, D. Edmunds, R. Lopes De Sá, M. J. Kim, Duncan Carlsmith, Thomas J. Phillips, Andrew Mehta, Zhenyu Ye, Yuri Gershtein, S. Lockwitz, Andrea Castro, A. T. Laasanen, G. D. Alexeev, Flera Rizatdinova, E. Camacho-Pérez, I. Yu, Reinhard Schwienhorst, A. M. Zanetti, Stefano Camarda, Jean-Francois Grivaz, G. Manca, J. Pilot, Arthur Barry Wicklund, Michael S. Gold, Kwok Ming Chan, Yuriy Ilchenko, X. Lei, Daniel Whiteson, Paolo Maestro, Michael H Kirby, A. Jonckheere, A. Semenov, F. Ruffini, A. Lobodenko, M. P. Sanders, B. Esham, M. Brochmann, Aidan Robson, A. Melnitchouk, S. Behari, Daria Zieminska, M. D'Errico, Y. Kato, J. Guimaraes Da Costa, D. Tonelli, A. Napier, T. R. Wyatt, I. V. Gorelov, Zhenbin Wu, R. Erbacher, P. Jonsson, Kamil Augsten, A. Pal, S. W. Youn, Thomas Hebbeker, J. M. Hauptman, A. Kharchilava, Siqi Yang, Elisabetta Pianori, I. Shreyber-Tecker, O. Shkola, Federico Sforza, Brad Abbott, Pierre Petroff, Gregory R Snow, Sergey Denisov, Viviana Cavaliere, G. Sajot, Horst Severini, Hakjae Lee, W. M. Van Leeuwen, Junjie Zhu, Joe Kroll, B. C.K. Casey, S. Wolbers, P. Lujan, Monica D'Onofrio, T. R. Junk, G. Petrillo, J. Tang, Jonathan Lewis, S. Uvarov, Marvin Johnson, Philip Schlabach, M. Trovato, A. V. Kozelov, Jonathan L. Rosner, B. Quinn, C. Mesropian, X. B. Bu, K. Ebina, Alice Bean, Willis Kazuo Sakumoto, Ryan Christopher Edgar, Xin Wu, T. A. Schwarz, C. Grosso-Pilcher, Viacheslav Bunichev, Volker Buescher, Peter Bussey, H. D. Wahl, Florencia Canelli, Matteo Bauce, Tara Shears, D. J. Kong, S. Desai, D. Goldin, Petr Vokac, Kirsten Tollefson, J. Thom, Risto Orava, M. M. Meijer, Kevin Burkett, T. Yasuda, P. Garosi, Aaron Dominguez, Jochen Jens Heinrich, I. Redondo Fernández, H. Liu, F. D. Snider, C. Vernieri, Guido Volpi, Itsuo Nakano, Harald Fox, Aurore Savoy-Navarro, S. W. Cho, A. Manousakis-Katsikakis, Allan G Clark, Roger Moore, F. Azfar, David Cutts, M. E. Convery, T. Arisawa, Alan Garfinkel, James G. Bartlett, L. Suter, S. Jindariani, P. Murat, I. A. Vasilyev, A. Calamba, R. Partridge, Kenneth Bloom, R. McCarthy, M. S. Jeong, Gavin Grant Hesketh, R. F. Harr, Aaltonen, T., Abazov, V. M., Abbott, B., Acharya, B. S., Adams, M., Adams, T., Agnew, J. P., Alexeev, G. D., Alkhazov, G., Alton, A., Amerio, S., Amidei, D., Anastassov, A., Annovi, A., Antos, J., Apollinari, G., Appel, J. A., Arisawa, T., Artikov, A., Asaadi, J., Ashmanskas, W., Askew, A., Atkins, S., Auerbach, B., Augsten, K., Aurisano, A., Aushev, V., Aushev, Y., Avila, C., Azfar, F., Badaud, F., Badgett, W., Bae, T., Bagby, L., Baldin, B., Bandurin, D. V., Banerjee, S., Barbaro-Galtieri, A., Barberis, E., Baringer, P., Barnes, V. E., Barnett, B. A., Barria, P., Bartlett, J. F., Bartos, P., Bassler, U., Bauce, M., Bazterra, V., Bean, A., Bedeschi, F., Begalli, M., Behari, S., Bellantoni, L., Bellettini, G., Bellinger, J., Benjamin, D., Beretvas, A., Beri, S. B., Bernardi, G., Bernhard, R., Bertram, I., Besancon, M., Beuselinck, R., Bhat, P. C., Bhatia, S., Bhatnagar, V., Bhatti, A., Bland, K. R., Blazey, G., Blessing, S., Bloom, K., Blumenfeld, B., Bocci, A., Bodek, A., Boehnlein, A., Boline, D., Boos, E. E., Borissov, G., Bortoletto, D., Borysova, M., Boudreau, J., Boveia, A., Brandt, A., Brandt, O., Brigliadori, L., Brochmann, M., Brock, R., Bromberg, C., Bross, A., Brown, D., Brucken, E., Bu, X. B., Budagov, J., Budd, H. S., Buehler, M., Buescher, V., Bunichev, V., Burdin, S., Burkett, K., Busetto, G., Bussey, P., Buszello, C. P., Butti, P., Buzatu, A., Calamba, A., Camacho-Perez, E., Camarda, S., Campanelli, M., Canelli, F., Carls, B., Carlsmith, D., Carosi, R., Carrillo, S., Casal, B., Casarsa, M., Casey, B. C. K., Castilla-Valdez, H., Castro, A., Catastini, P., Caughron, S., Cauz, D., Cavaliere, V., Cerri, A., Cerrito, L., Chakrabarti, S., Chan, K. M., Chandra, A., Chapelain, A., Chapon, E., Chen, G., Chen, Y. C., Chertok, M., Chiarelli, G., Chlachidze, G., Cho, K., Cho, S. W., Choi, S., Chokheli, D., Choudhary, B., Cihangir, S., Claes, D., Clark, A., Clarke, C., Clutter, J., Convery, M. E., Conway, J., Cooke, M., Cooper, W. E., Corbo, M., Corcoran, M., Cordelli, M., Couderc, F., Cousinou, M. -C., Cox, C. A., Cox, D. J., Cremonesi, M., Cruz, D., Cuevas, J., Culbertson, R., Cuth, J., Cutts, D., Das, A., D'Ascenzo, N., Datta, M., Davies, G., de Barbaro, P., de Jong, S. J., De La Cruz-Burelo, E., Deliot, F., Demina, R., Demortier, L., Deninno, M., Denisov, D., Denisov, S. P., D'Errico, M., Desai, S., Deterre, C., Devaughan, K., Devoto, F., Di Canto, A., Di Ruzza, B., Diehl, H. T., Diesburg, M., Ding, P. F., Dittmann, J. R., Dominguez, A., Donati, S., D'Onofrio, M., Dorigo, M., Driutti, A., Drutskoy, A., Dubey, A., Dudko, L. V., Duperrin, A., Dutt, S., Eads, M., Ebina, K., Edgar, R., Edmunds, D., Elagin, A., Ellison, J., Elvira, V. D., Enari, Y., Erbacher, R., Errede, S., Esham, B., Evans, H., Evdokimov, A., Evdokimov, V. N., Farrington, S., Faure, A., Feng, L., Ferbel, T., Fernandez Ramos, J. P., Fiedler, F., Field, R., Filthaut, F., Fisher, W., Fisk, H. E., Flanagan, G., Forrest, R., Fortner, M., Fox, H., Franc, J., Franklin, M., Freeman, J. C., Frisch, H., Fuess, S., Funakoshi, Y., Galloni, C., Garbincius, P. H., Garcia-Bellido, A., Garcia-Gonzalez, J. A., Garfinkel, A. F., Garosi, P., Gavrilov, V., Geng, W., Gerber, C. E., Gerberich, H., Gerchtein, E., Gershtein, Y., Giagu, S., Giakoumopoulou, V., Gibson, K., Ginsburg, C. M., Ginther, G., Giokaris, N., Giromini, P., Glagolev, V., Glenzinski, D., Gogota, O., Gold, M., Goldin, D., Golossanov, A., Golovanov, G., Gomez, G., Gomez-Ceballos, G., Goncharov, M., Gonzalez Lopez, O., Gorelov, I., Goshaw, A. T., Goulianos, K., Gramellini, E., Grannis, P. D., Greder, S., Greenlee, H., Grenier, G., Gris, Ph., Grivaz, J. -F., Grohsjean, A., Grosso-Pilcher, C., Grunendahl, S., Grunewald, M. W., Guillemin, T., da Costa, J. Guimarae, Gutierrez, G., Gutierrez, P., Hahn, S. R., Haley, J., Han, J. Y., Han, L., Happacher, F., Hara, K., Harder, K., Hare, M., Harel, A., Harr, R. F., Harrington-Taber, T., Hatakeyama, K., Hauptman, J. M., Hays, C., Hays, J., Head, T., Hebbeker, T., Hedin, D., Hegab, H., Heinrich, J., Heinson, A. P., Heintz, U., Hensel, C., Heredia-De La Cruz, I., Herndon, M., Herner, K., Hesketh, G., Hildreth, M. D., Hirosky, R., Hoang, T., Hobbs, J. D., Hocker, A., Hoeneisen, B., Hogan, J., Hohlfeld, M., Holzbauer, J. L., Hong, Z., Hopkins, W., Hou, S., Howley, I., Hubacek, Z., Hughes, R. E., Husemann, U., Hussein, M., Huston, J., Hynek, V., Iashvili, I., Ilchenko, Y., Illingworth, R., Introzzi, G., Iori, M., Ito, A. S., Ivanov, A., Jabeen, S., Jaffre, M., James, E., Jang, D., Jayasinghe, A., Jayatilaka, B., Jeon, E. J., Jeong, M. S., Jesik, R., Jiang, P., Jindariani, S., Johns, K., Johnson, E., Johnson, M., Jonckheere, A., Jones, M., Jonsson, P., Joo, K. K., Joshi, J., Jun, S. Y., Jung, A. W., Junk, T. R., Juste, A., Kajfasz, E., Kambeitz, M., Kamon, T., Karchin, P. E., Karmanov, D., Kasmi, A., Kato, Y., Katsanos, I., Kaur, M., Kehoe, R., Kermiche, S., Ketchum, W., Keung, J., Khalatyan, N., Khanov, A., Kharchilava, A., Kharzheev, Y. N., Kilminster, B., Kim, D. H., Kim, H. S., Kim, J. E., Kim, M. J., Kim, S. H., Kim, S. B., Kim, Y. J., Kim, Y. K., Kimura, N., Kirby, M., Kiselevich, I., Kohli, J. M., Kondo, K., Kong, D. J., Konigsberg, J., Kotwal, A. V., Kozelov, A. V., Kraus, J., Kreps, M., Kroll, J., Kruse, M., Kuhr, T., Kumar, A., Kupco, A., Kurata, M., Kurca, T., Kuzmin, V. A., Laasanen, A. T., Lammel, S., Lammers, S., Lancaster, M., Lannon, K., Latino, G., Lebrun, P., Lee, H. S., Lee, J. S., Lee, S. W., Lee, W. M., Lei, X., Lellouch, J., Leo, S., Leone, S., Lewis, J. D., Li, D., Li, H., Li, L., Li, Q. Z., Lim, J. K., Limosani, A., Lincoln, D., Linnemann, J., Lipaev, V. V., Lipeles, E., Lipton, R., Lister, A., Liu, H., Liu, Q., Liu, T., Liu, Y., Lobodenko, A., Lockwitz, S., Loginov, A., Lokajicek, M., de Sa, R. Lope, Lucchesi, D., Luca, A., Lueck, J., Lujan, P., Lukens, P., Luna-Garcia, R., Lungu, G., Lyon, A. L., Lys, J., Lysak, R., Maciel, A. K. A., Madar, R., Madrak, R., Maestro, P., Magana-Villalba, R., Malik, S., Malyshev, V. L., Manca, G., Manousakis-Katsikakis, A., Mansour, J., Marchese, L., Margaroli, F., Marino, P., Martinez-Ortega, J., Matera, K., Mattson, M. E., Mazzacane, A., Mazzanti, P., Mccarthy, R., Mcgivern, C. L., Mcnulty, R., Mehta, A., Mehtala, P., Meijer, M. M., Melnitchouk, A., Menezes, D., Mercadante, P. G., Merkin, M., Mesropian, C., Meyer, A., Meyer, J., Miao, T., Miconi, F., Mietlicki, D., Mitra, A., Miyake, H., Moed, S., Moggi, N., Mondal, N. K., Moon, C. S., Moore, R., Morello, M. J., Mukherjee, A., Mulhearn, M., Muller, Th., Murat, P., Mussini, M., Nachtman, J., Nagai, Y., Naganoma, J., Nagy, E., Nakano, I., Napier, A., Narain, M., Nayyar, R., Neal, H. A., Negret, J. P., Nett, J., Neustroev, P., Nguyen, H. T., Nigmanov, T., Nodulman, L., Noh, S. Y., Norniella, O., Nunnemann, T., Oakes, L., Oh, S. H., Oh, Y. D., Okusawa, T., Orava, R., Orduna, J., Ortolan, L., Osman, N., Pagliarone, C., Pal, A., Palencia, E., Palni, P., Papadimitriou, V., Parashar, N., Parihar, V., Park, S. K., Parker, W., Partridge, R., Parua, N., Patwa, A., Pauletta, G., Paulini, M., Paus, C., Penning, B., Perfilov, M., Peters, Y., Petridis, K., Petrillo, G., Petroff, P., Phillips, T. J., Piacentino, G., Pianori, E., Pilot, J., Pitts, K., Plager, C., Pleier, M. -A., Podstavkov, V. M., Pondrom, L., Popov, A. V., Poprocki, S., Potamianos, K., Pranko, A., Prewitt, M., Price, D., Prokopenko, N., Prokoshin, F., Ptohos, F., Punzi, G., Qian, J., Quadt, A., Quinn, B., Ratoff, P. N., Razumov, I., Redondo Fernandez, I., Renton, P., Rescigno, M., Rimondi, F., Ripp-Baudot, I., Ristori, L., Rizatdinova, F., Robson, A., Rodriguez, T., Rolli, S., Rominsky, M., Ronzani, M., Roser, R., Rosner, J. L., Ross, A., Royon, C., Rubinov, P., Ruchti, R., Ruffini, F., Ruiz, A., Russ, J., Rusu, V., Sajot, G., Sakumoto, W. K., Sakurai, Y., Sanchez-Hernandez, A., Sanders, M. P., Santi, L., Santos, A. S., Sato, K., Savage, G., Saveliev, V., Savitskyi, M., Savoy-Navarro, A., Sawyer, L., Scanlon, T., Schamberger, R. D., Scheglov, Y., Schellman, H., Schlabach, P., Schmidt, E. E., Schott, M., Schwanenberger, C., Schwarz, T., Schwienhorst, R., Scodellaro, L., Scuri, F., Seidel, S., Seiya, Y., Sekaric, J., Semenov, A., Severini, H., Sforza, F., Shabalina, E., Shalhout, S. Z., Shary, V., Shaw, S., Shchukin, A. A., Shears, T., Shepard, P. F., Shimojima, M., Shkola, O., Shochet, M., Shreyber-Tecker, I., Simak, V., Simonenko, A., Skubic, P., Slattery, P., Sliwa, K., Smith, J. R., Snider, F. D., Snow, G. R., Snow, J., Snyder, S., Soldner-Rembold, S., Song, H., Sonnenschein, L., Sorin, V., Soustruznik, K., Denis, R. St., Stancari, M., Stark, J., Stefaniuk, N., Stentz, D., Stoyanova, D. A., Strauss, M., Strologas, J., Sudo, Y., Sukhanov, A., Suslov, I., Suter, L., Svoisky, P., Takemasa, K., Takeuchi, Y., Tang, J., Tecchio, M., Teng, P. K., Thom, J., Thomson, E., Thukral, V., Titov, M., Toback, D., Tokar, S., Tokmenin, V. V., Tollefson, K., Tomura, T., Tonelli, D., Torre, S., Torretta, D., Totaro, P., Trovato, M., Tsai, Y. -T., Tsybychev, D., Tuchming, B., Tully, C., Ukegawa, F., Uozumi, S., Uvarov, L., Uvarov, S., Uzunyan, S., Van Kooten, R., van Leeuwen, W. M., Varelas, N., Varnes, E. W., Vasilyev, I. A., Vazquez, F., Velev, G., Vellidis, C., Verkheev, A. Y., Vernieri, C., Vertogradov, L. S., Verzocchi, M., Vesterinen, M., Vidal, M., Vilanova, D., Vilar, R., Vizan, J., Vogel, M., Vokac, P., Volpi, G., Wagner, P., Wahl, H. D., Wallny, R., Wang, M. H. L. S., Wang, S. M., Warchol, J., Waters, D., Watts, G., Wayne, M., Weichert, J., Welty-Rieger, L., Wester, W. C., Iii, Whiteson, D., Wicklund, A. B., Wilbur, S., Williams, H. H., Williams, M. R. J., Wilson, G. W., Wilson, J. S., Wilson, P., Winer, B. L., Wittich, P., Wobisch, M., Wolbers, S., Wolfmeister, H., Wood, D. R., Wright, T., Wu, X., Wu, Z., Wyatt, T. R., Xie, Y., Yamada, R., Yamamoto, K., Yamato, D., Yang, S., Yang, T., Yang, U. K., Yang, Y. C., Yao, W. -M., Yasuda, T., Yatsunenko, Y. A., Ye, W., Ye, Z., Yeh, G. P., Yi, K., Yin, H., Yip, K., Yoh, J., Yorita, K., Yoshida, T., Youn, S. W., Yu, G. B., Yu, I., Yu, J. M., Zanetti, A. M., Zeng, Y., Zennamo, J., Zhao, T. G., Zhou, B., Zhou, C., Zhu, J., Zielinski, M., Zieminska, D., Zivkovic, L., Zucchelli, S., Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut Pluridisciplinaire Hubert Curien (IPHC), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut de Physique Nucléaire de Lyon (IPNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de l'Accélérateur Linéaire (LAL), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), CDF, D0, Acad Sinica, Argonne Natl Lab, Univ Athens, Univ Autonoma Barcelona, Baylor Univ, Ist Nazl Fis Nucl, Univ Bologna, Univ Calif Davis, Univ Calif Los Angeles, Univ Cantabria, Carnegie Mellon Univ, Univ Chicago, Comenius Univ, Inst Expt Phys, Joint Inst Nucl Res, Duke Univ, Fermilab Natl Accelerator Lab, Univ Florida, Univ Geneva, Glasgow Univ, Harvard Univ, Univ Helsinki, Helsinki Inst Phys, Univ Illinois, Johns Hopkins Univ, Karlsruhe Inst Technol, Kyungpook Natl Univ, Seoul Natl Univ, Sungkyunkwan Univ, Korea Inst Sci & Technol Informat, Chonnam Natl Univ, Chonbuk Natl Univ, Ewha Womans Univ, Ernest Orlando Lawrence Berkeley Natl Lab, Univ Liverpool, UCL, Ctr Invest Energet Medioambient & Tecnol, MIT, Univ Michigan, Michigan State Univ, Inst Theoret & Expt Phys, Univ New Mexico, Ohio State Univ, Okayama Univ, Osaka City Univ, Univ Oxford, Univ Padua, Univ Penn, Univ Pisa, Univ Siena, Scuola Normale Super Pisa, Univ Pavia, Univ Pittsburgh, Purdue Univ, Univ Rochester, Rockefeller Univ, Sapienza Univ Roma, Texas A&M Univ, Ist Nazl Fis Nucl Trieste, Grp Coll Udine, Univ Udine, Univ Trieste, Univ Tsukuba, Tufts Univ, Waseda Univ, Wayne State Univ, Univ Wisconsin, Yale Univ, Ctr Brasileiro Pesquisas Fis, Universidade do Estado do Rio de Janeiro (UERJ), Universidade Federal do ABC (UFABC), Univ Sci & Technol China, Univ Los Andes, Charles Univ Prague, Czech Tech Univ, Acad Sci Czech Republ, Univ San Francisco Quito, Univ Blaise Pascal, Univ Joseph Fourier Grenoble 1, Aix Marseille Univ, Univ Paris Saclay, Univ Paris VI, Universidade de São Paulo (USP), CEA Saclay, Univ Strasbourg, Univ Lyon 1, Univ Lyon, Rhein Westfal TH Aachen, Univ Freiburg, Georg August Univ Gottingen, Johannes Gutenberg Univ Mainz, Ludwig Maximilians Univ Munchen, Panjab Univ, Delhi Univ, Tata Inst Fundamental Res, Univ Coll Dublin, Korea Univ, CINVESTAV, Nikhef, Radboud Univ Nijmegen, Moscow MV Lomonosov State Univ, Inst High Energy Phys, Petersburg Nucl Phys Inst, ICREA, IFAE, Uppsala Univ, Taras Shevchenko Natl Univ Kyiv, Univ Lancaster, Imperial Coll London, Univ Manchester, Univ Arizona, Univ Calif Riverside, Florida State Univ, Northern Illinois Univ, Northwestern Univ, Indiana Univ, Purdue Univ Calumet, Univ Notre Dame, Iowa State Univ, Univ Kansas, Louisiana Tech Univ, Northeastern Univ, Univ Mississippi, Univ Nebraska, Rutgers State Univ, Princeton Univ, SUNY Buffalo, SUNY Stony Brook, Brookhaven Natl Lab, Langston Univ, Univ Oklahoma, Oklahoma State Univ, Oregon State Univ, Brown Univ, Univ Texas Arlington, Southern Methodist Univ, Rice Univ, Univ Virginia, Univ Washington, Univ British Columbia, Univ Calif Irvine, CERN, Cornell Univ, Univ Cyprus, US DOE, ETH, Univ Fukui, Univ Iberoamer, Univ Iowa, Kinki Univ, Kansas State Univ, Queen Mary Univ London, Univ Melbourne, Muons Inc, Nagasaki Inst Appl Sci, Natl Res Nucl Univ, Univ Oviedo, CNRS, Univ Tecn Federico Santa Maria, Sejong Univ, Univ Jordan, Catholic Univ Louvain, Univ Zurich, Massachusetts Gen Hosp, Harvard Med Sch, Hampton Univ, Los Alamos Natl Lab, Univ Napoli Federico II, Augustana Univ, Deutsch Elektronen Synchrotron DESY, Consejo Nacl Ciencia Tecnol Conacyt, SLAC, IPN, Universidade Estadual Paulista (Unesp), Karlsruher Inst Technol, Amer Assoc Advancement Sci, Natl Acad Sci Ukraine, Univ Maryland, Inst Phys, Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Clermont Auvergne (UCA)-Centre National de la Recherche Scientifique (CNRS), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Aix Marseille Université (AMU), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Academia Sinica, Argonne National Laboratory, University of Athens, Universitat Autonoma de Barcelona, Baylor University, Istituto Nazionale di Fisica Nucleare Bologna, University of Bologna, University of California Davis, University of California, University of Cantabria, Carnegie Mellon University, University of Chicago, Comenius University, Joint Institute for Nuclear Research, Duke University, Fermi National Accelerator Laboratory, University of Florida, Istituto Nazionale di Fisica Nucleare, University of Geneva, Glasgow University, Harvard University, University of Helsinki, University of Illinois, Johns Hopkins University, Karlsruhe Institute of Technology, Kyungpook National University, Ernest Orlando Lawrence Berkeley National Laboratory, University of Liverpool, University College London, Centro de Investigaciones Energeticas Medioambientales y Tecnologicas, Massachusetts Institute of Technology, University of Michigan, Michigan State University, ITEP, University of New Mexico, Ohio State University, Okayama University, Osaka City University, University of Oxford, Sezione di Padova, University of Padova, University of Pennsylvania, Istituto Nazionale di Fisica Nucleare Pisa, University of Pisa, University of Siena, Scuola Normale Superiore, INFN Pavia, University of Pavia, University of Pittsburgh, Purdue University, University of Rochester, Rockefeller University, Sezione di Roma 1, Sapienza Università di Roma, Texas AandM University, Istituto Nazionale di Fisica Nucleare Trieste, Gruppo Collegato di Udine, University of Udine, University of Trieste, University of Tsukuba, Tufts University, Waseda University, Wayne State University, University of Wisconsin-Madison, Yale University, Centro Brasileiro de Pesquisas Físicas, University of Science and Technology of China, Universidad de Los Andes, Charles University, Czech Technical University in Prague, Academy of Sciences of the Czech Republic, Universidad San Francisco de Quito, IN2P3, Institut National Polytechnique de Grenoble, Université Paris-Saclay, SPP, RWTH Aachen University, Universität Freiburg, Georg-August-Universität Göttingen, Universität Mainz, Ludwig-Maximilians-Universität München, Panjab University, Delhi University, Tata Institute of Fundamental Research, University College Dublin, Korea University, Science Park, Radboud University Nijmegen, Moscow State University, Institute for High Energy Physics, Petersburg Nuclear Physics Institute, Institut de Física d'Altes Energies (IFAE), Uppsala University, Taras Shevchenko National University of Kyiv, Lancaster University, Imperial College London, University of Manchester, University of Arizona, University of California Riverside, Florida State University, University of Illinois at Chicago, Northern Illinois University, Northwestern University, Indiana University, Purdue University Calumet, University of Notre Dame, Iowa State University, University of Kansas, Louisiana Tech University, Northeastern University, University of Mississippi, University of Nebraska, Rutgers University, Princeton University, State University of New York, Brookhaven National Laboratory, Langston University, University of Oklahoma, Oklahoma State University, Oregon State University, Brown University, University of Texas, Southern Methodist University, Rice University, University of Virginia, University of Washington, Université de Lyon, Ewha Womans University, Visitor from University of British Columbia, Sezione di Cagliari, Visitor from University of California Irvine, Visitor from CERN, Visitor from Cornell University, Visitor from University of Cyprus, U.S. Department of Energy, Visitor from University College Dublin, Visitor from ETH, Visitor from University of Fukui, Visitor from Universidad Iberoamericana, Visitor from University of Iowa, Visitor from Kinki University, Visitor from Kansas State University, Visitor from Brookhaven National Laboratory, Sezione di Lecce, University of London, Visitor from University of Melbourne, Inc., Visitor from Nagasaki Institute of Applied Science, Visitor from National Research Nuclear University, Visitor from Northwestern University, Visitor from University of Notre Dame, Visitor from Universidad de Oviedo, Visitor from CNRS-IN2P3, Visitor from Universidad Tecnica Federico Santa Maria, Visitor from Sejong University, Visitor from the University of Jordan, Visitor from Universite Catholique de Louvain, Visitor from University of Zürich, Visitor from Massachusetts General Hospital, Visitor from Harvard Medical School, Visitor from Hampton University, Visitor from Los Alamos National Laboratory, Visitor from Università degli Studi di Napoli Federico II, Visitor from Augustana University, Visitor from the University of Liverpool, Visitor from Deutsches Elektronen-Synchrotron (DESY), Visitor from Consejo Nacional de Ciencia y Tecnologia (Conacyt), Visitor from SLAC, Visitor from University College London, Universidade Estadual Paulista (UNESP), Steinbuch Centre for Computing (SCC), Chonbuk National University, Visitor from American Association for the Advancement of Science, Kiev Institute for Nuclear Research (KINR), Visitor from University of Maryland, Visitor from European Organization for Nuclear Research (CERN), Visitor from Purdue University, Belgrade, Institute of Experimental Physics, Helsinki Institute of Physics, Seoul National University, Sungkyunkwan University, Korea Institute of Science and Technology Information, Chonnam National University, Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), Department of Physics, Massachusetts Institute of Technology. Department of Physics, Massachusetts Institute of Technology. Laboratory for Nuclear Science, Gomez-Ceballos, Guillelmo, Goncharov, Maxim, Paus, Christoph M. E., Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Laboratoire de Physique de Clermont ( LPC ), Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Université Clermont Auvergne ( UCA ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Recherches sur les lois Fondamentales de l'Univers ( IRFU ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay, Laboratoire de Physique Nucléaire et de Hautes Énergies ( LPNHE ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Centre de Physique des Particules de Marseille ( CPPM ), Centre National de la Recherche Scientifique ( CNRS ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Aix Marseille Université ( AMU ), Institut Pluridisciplinaire Hubert Curien ( IPHC ), Centre National de la Recherche Scientifique ( CNRS ) -Université de Strasbourg ( UNISTRA ), Institut de Physique Nucléaire de Lyon ( IPNL ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire de l'Accélérateur Linéaire ( LAL ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire de Physique Subatomique et de Cosmologie ( LPSC ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut polytechnique de Grenoble - Grenoble Institute of Technology ( Grenoble INP ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ), Abazov, V.M., Acharya, B.S., Agnew, J.P., Alexeev, G.D., Appel, J.A., Bandurin, D.V., Barnes, V.E., Barnett, B.A., Bartlett, J.F., Beri, S.B., Besançon, M., Bhat, P.C., Bland, K.R., Boos, E.E., Bu, X.B., Budd, H.S., Buszello, C.P., Camacho-Pérez, E., Casey, B.C.K., Chan, K.M., Chen, Y.C., Cho, S.W., Convery, M.E., Cooper, W.E., Cousinou, M.-C., Cox, C.A., Cox, D.J., De Barbaro, P., De Jong, S.J., Déliot, F., Denisov, S.P., Diehl, H.T., Ding, P.F., Dittmann, J.R., Dudko, L.V., Elvira, V.D., Evdokimov, V.N., Fauré, A., Fernández Ramos, J.P., Fisk, H.E., Freeman, J.C., Garbincius, P.H., García-González, J.A., Garfinkel, A.F., Gerber, C.E., Ginsburg, C.M., González López, O., Goshaw, A.T., Grannis, P.D., Grivaz, J.-F., Grünendahl, S., Grünewald, M.W., Guimaraes Da Costa, J., Hahn, S.R., Han, J.Y., Harr, R.F., Hauptman, J.M., Heinson, A.P., Hildreth, M.D., Hobbs, J.D., Holzbauer, J.L., Hughes, R.E., Ito, A.S., Jaffré, M., Jeon, E.J., Jeong, M.S., Joo, K.K., Jun, S.Y., Jung, A.W., Junk, T.R., Karchin, P.E., Kharzheev, Y.N., Kim, D.H., Kim, H.S., Kim, J.E., Kim, M.J., Kim, S.H., Kim, S.B., Kim, Y.J., Kim, Y.K., Kohli, J.M., Kong, D.J., Kotwal, A.V., Kozelov, A.V., Kurča, T., Kuzmin, V.A., Laasanen, A.T., Lee, H.S., Lee, J.S., Lee, S.W., Lee, W.M., Lewis, J.D., Li, Q.Z., Lim, J.K., Lipaev, V.V., Lopes De Sa, R., Lucà, A., Lyon, A.L., Maciel, A.K.A., Magaña-Villalba, R., Malyshev, V.L., Martínez-Ortega, J., Mattson, M.E., McCarthy, R., McGivern, C.L., McNulty, R., Meijer, M.M., Mercadante, P.G., Mondal, N.K., Moon, C.S., Morello, M.J., Neal, H.A., Negret, J.P., Nguyen, H.T., Noh, S.Y., Oh, S.H., Oh, Y.D., Park, S.K., Pétroff, P., Phillips, T.J., Pleier, M.-A., Podstavkov, V.M., Popov, A.V., Ratoff, P.N., Redondo Fernández, I., Rosner, J.L., Sakumoto, W.K., Sánchez-Hernández, A., Sanders, M.P., Santos, A.S., Schamberger, R.D., Schmidt, E.E., Shalhout, S.Z., Shchukin, A.A., Shepard, P.F., Smith, J.R., Snider, F.D., Snow, G.R., Söldner-Rembold, S., St Denis, R., Stoyanova, D.A., Teng, P.K., Tokmenin, V.V., Tsai, Y.-T., Van Leeuwen, W.M., Varnes, E.W., Vasilyev, I.A., Vázquez, F., Verkheev, A.Y., Vertogradov, L.S., Vizán, J., Wahl, H.D., Wang, M.H.L.S., Wang, S.M., Wester, W.C., Wicklund, A.B., Williams, H.H., Williams, M.R.J., Wilson, G.W., Wilson, J.S., Winer, B.L., Wood, D.R., Wyatt, T.R., Yang, U.K., Yang, Y.C., Yao, W.-M., Yatsunenko, Y.A., Yeh, G.P., Youn, S.W., Yu, G.B., Yu, J.M., Zanetti, A.M., Zhao, T.G., Clark, Allan Geoffrey, Lister, Alison, Wu, Xin, and Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)

Subjects
Top quark, Tevatron, General Physics and Astronomy, pair production [top], 01 natural sciences, 7. Clean energy, High Energy Physics - Experiment, Subatomär fysik, High Energy Physics - Experiment (hep-ex), DZERO, Subatomic Physics, ddc:550, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], Quantum Chromodynamics, Batavia TEVATRON Coll, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), media_common, Physics, scattering [anti-p p], Particle properties, 02 Physical Sciences, rapidity: difference, CDF, top-quark, difference [rapidity], asymmetry [angular distribution], kinematics, Physical Sciences, top: pair production, Quark, Particle physics, General Physics, angular distribution: asymmetry, Tevatron Collider, media_common.quotation_subject, Physics, Multidisciplinary, FOS: Physical sciences, Forward backward, ddc:500.2, Hadron-hadron interactions, Asymmetry, Computer Science::Digital Libraries, 114 Physical sciences, Marie curie, CDF Collaboration, anti-p p: colliding beams, Physics and Astronomy (all), [ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex], 0103 physical sciences, anti-p p: scattering, media_common.cataloged_instance, ddc:530, High Energy Physics, European union, 010306 general physics, Science & Technology, 1960 GeV-cms, 010308 nuclear & particles physics, hep-ex, High Energy Physics::Phenomenology, Q007TFB, Research council, Experimental High Energy Physics, High Energy Physics::Experiment, colliding beams [anti-p p], High Energy Physics, Top quark, Hadron-hadron interactions, Quantum Chromodynamics, Particle properties, Tevatron Collider, D0 Collaboration, experimental results
Abstract

The CDF and D0 experiments at the Fermilab Tevatron have measured the asymmetry between yields of forward- and backward-produced top and antitop quarks based on their rapidity difference and the asymmetry between their decay leptons. These measurements use the full data sets collected in proton-antiproton collisions at a center-of-mass energy of √s=1.96 TeV. We report the results of combinations of the inclusive asymmetries and their differential dependencies on relevant kinematic quantities. The combined inclusive asymmetry is At¯tFB=0.128±0.025. The combined inclusive and differential asymmetries are consistent with recent standard model predictions., Physical Review Letters, 120 (4), ISSN:0031-9007, ISSN:1079-7114

Published
2018
Full Text
View/download PDF

49. Recurrent HIV-associated posterior reversible encephalopathy syndrome

Author

Craig McColl, Christian J. Lueck, Shaun Zhai, Aakash Mahajan, and Bruce J. Brew

Subjects
Pediatrics, medicine.medical_specialty, business.industry, medicine, MEDLINE, Human immunodeficiency virus (HIV), Case, Posterior reversible encephalopathy syndrome, Neurology (clinical), medicine.disease, medicine.disease_cause, business
Abstract

Consider the diagnosis of PRES in HIV-infected patients even in the absence of traditionally established risk factors.

Published
2019

50. Correlating structure with visual function in patients with multiple sclerosis: Where is this leading?

Author

Christian J. Lueck and Ted Maddess

Subjects
Multiple Sclerosis, genetic structures, MEDLINE, Retina, Article, Contrast Sensitivity, Text mining, Physiology (medical), medicine, Humans, In patient, Vision, Ocular, business.industry, Multiple sclerosis, medicine.disease, eye diseases, Sensory Systems, medicine.anatomical_structure, Neurology, Visual function, Evoked Potentials, Visual, sense organs, Neurology (clinical), business, Neuroscience
Abstract

OBJECTIVE: To examine the relationship between optical coherence tomography (OCT) macular ganglion cell-inner plexiform layer thickness (GCIPLT), peripapillary retinal nerve fiber layer thickness (RNFLT) and visual function in relapsing remitting multiple sclerosis (RRMS). METHODS: Cirrus OCT, VERIS 60-sector multifocal visual evoked potential (mfVEP) and Pelli-Robson contrast sensitivity (CS) were obtained for 53 eyes with last optic neuritis (ON)>6 months and 105 non-ON eyes in 90 patients. One eye (43 ON, 73 non-ON) was used for correlations when both had the same history. Global (G, 60 sectors) and central 5.6° (C, 24 sectors) mfVEP amplitude and latency were calculated as mean logSNR and median latency. RESULTS: Eyes showing abnormal mfVEP (amplitude or latency) vs OCT (GCIPLT or RNFLT) was 77% vs 69% (p=0.33) in ON, 45% vs 22% (p

Published
2019

Catalog

Books, media, physical & digital resources
See catalog results