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A 52-year-old woman with a complex medical history, including a history of consanguinity, developed refractory uncontrollable spine pain after a motor vehicle accident 2 years before presentation. There were no well-defined findings on clinical examination. She was found to have mildly elevated serum creatine phosphokinase levels, and spine imaging revealed fatty replacement and atrophy affecting predominantly lumbar paraspinal muscles. Initial EMG sampling of multiple limb muscles was normal. However, a follow-up concentric needle examination sampling paraspinal and trunk muscles showed abundant myotonic discharges, fibrillations and positive sharp waves, and myopathic motor unit action potential changes. This pattern of neurophysiologic abnormalities prompted the search for a myopathic disorder, which was ultimately confirmed with additional studies. This case highlights the critical role of neurophysiologic evaluation of paraspinal and other trunk muscles in the disambiguation of clinical and imaging data, helping to establish the diagnosis of a rare but treatable myopathy at early disease stages.

Dr. William Beecher Scoville (1906–1984) is a giant figure in the history of neurosurgery, well known by the public for his operation on Patient H.M. He developed dozens of neurosurgical instruments and techniques, with many tools named after him that are still widely used today. He founded numerous neurosurgical societies around the world. He led the movement in psychosurgery, developing the technique of selective orbital undercutting and performing hundreds of lobotomies throughout his career. However, his many contributions to the advancement of neurosurgery have not been well described in the medical literature. To bridge the knowledge gap, this article seeks to detail the life and career of William Beecher Scoville and bring to attention the enduring impact of his work.

BackgroundOne key contributor to lumbar stenosis is thickening of the ligamentum flavum (LF), a process still poorly understood. Wild-type transthyretin amyloid (ATTRwt) has been found in the LF of patients undergoing decompression surgery, suggesting that amyloid may play a role. However, it is unclear whether within patients harboring ATTRwt, the amount of amyloid is associated with LF thickness.MethodsFrom an initial cohort of 324 consecutive lumbar stenosis patients whose LF specimens from decompression surgery were sent for analysis (2018-2019), 33 patients met the following criteria: (1) Congo red-positive amyloid in the LF; (2) ATTRwt by mass spectrometry-based proteomics; and (3) an available preoperative MRI. Histological specimens were digitized, and amyloid load quantified through Trainable Weka Segmentation (TWS) machine learning. LF thicknesses were manually measured on axial T2-weighted preoperative MRI scans at each lumbar level, L1-S1. The sum of thicknesses at every lumbar LF level (L1-S1) equals “lumbar LF burden.”ResultsPatients had a mean age of 72.7 years (range 59-87), were mostly male (61%) and white (82%); and predominantly had surgery at L4-L5 levels (73%). Amyloid load was positively correlated with LF thickness (R=0.345, p=0.0492) at the levels of surgical decompression. Furthermore, amyloid load was positively correlated with lumbar LF burden (R=0.383, p=0.0279).ConclusionsAmyloid load is positively correlated with LF thickness and lumbar LF burden across all lumbar levels, in a dose-dependent manner. Further studies are needed to validate these findings, uncover the underlying pathophysiology, and pave the way towards using therapies that slow LF thickening.

Neuroimaging is a powerful tool to investigate potential associations between chronic pain and brain structure. However, the proliferation of studies across diverse chronic pain syndromes and heterogeneous results challenges data integration and interpretation. We conducted a preregistered anatomical likelihood estimate meta-analysis on structural magnetic imaging studies comparing patients with chronic pain and healthy controls. Specifically, we investigated a broad range of measures of brain structure as well as specific alterations in gray matter and cortical thickness. A total of 7849 abstracts of experiments published between January 1, 1990, and April 26, 2021, were identified from 8 databases and evaluated by 2 independent reviewers. Overall, 103 experiments with a total of 5075 participants met the preregistered inclusion criteria. After correction for multiple comparisons using the gold-standard family-wise error correction ( P < 0.05), no significant differences associated with chronic pain were found. However, exploratory analyses using threshold-free cluster enhancement revealed several spatially distributed clusters showing structural alterations in chronic pain. Most of the clusters coincided with regions implicated in nociceptive processing including the amygdala, thalamus, hippocampus, insula, anterior cingulate cortex, and inferior frontal gyrus. Taken together, these results suggest that chronic pain is associated with subtle, spatially distributed alterations of brain structure.

Background: In Cerebral Vascular Disease when one or more arteries are thrombosed it results in Cerebral Venous Sinus Thrombosis (CVST) and affects in all ages. This condition is very challenging as it is not diagnosed early due to diverse signs and symptoms and involvement of extensive collateral circulation. Superior sagittal sinus is a large sinus which is commonly affected. Usually, patient comes with clinical presentation of headache with papilledema, to focal deficit, seizures and coma. Aim: To investigate the efficacy of Physiotherapy Rehabilitation for Hemiparesis following Cerebral Venous Sinus Thrombosis. Presentation of Case: A 18-year-old male patient presented with a history of severe headache, weakness in his right arm and leg, dizziness upon rising from bed, and a unilateral headache. On investigation CT scan and MRI brain was done. The physiotherapy has started from 2 days after admission in AVBRH. Discussion: In the cases of cerebral venous sinus thrombosis the management of hemiparesis is shown to enhance the ADL and quality of life of patients. Conclusion: The rehabilitation protocol planned will help in improving the range of motion and ADL of patient when started as early as possible.

Background The global burden of neurosurgical disease is substantial, particularly in low- and middle-income countries (LMICs). Medical conferences are important in connecting those from LMICs to those from high-income countries for support and serve as an educational and networking tool. In this study, we sought to quantitatively assess the incorporation of global neurosurgery topics in international conferences related to the neurosurgical specialty. Methods A database of major international neurosurgical conferences, from the conference of a group of 9 major neurosurgical societies, that had global neurosurgery featured from 2015 to 2020 was created. We then did a retrospective analysis to study the characteristics of these conferences ranging from geographic location to number to different components of the conferences. Results There was an increase in the number of conferences with global neurosurgery since 2015. This, in addition to the occurrence of 3 wholly global neurosurgery-related conferences in recent years, is promising and suggests growth in the field. However, 52.6% of conferences took place in North American or European countries, the majority of which were high-income countries. Furthermore, a majority of the presence of global neurosurgery was in the form of individual talks (54.5%) as opposed to plenaries or sessions. Conclusions The preponderance of conferences in North America and Europe can pose barriers for those from LMICs including travel time, expenses, and visa problems. As global neurosurgery becomes an increasing part of the global health movement, we hope that these barriers are addressed. Conferences may become an even stronger tool to promote equity in neurosurgical education and practice.

Despite the increase in assisted reproductive technologies, the high rates of infertility and pregnancy complications are a major concern to infertility specialists worldwide. Infertility may be attributed to pregnancy complications like thrombophilia, preeclampsia and fibrin-induced recurrent pregnancy loss (RPL). Renin-angiotensin-aldosterone system (RAAS) directly or indirectly causes preeclampsia and thrombophilia through the fibrinolytic pathway that ultimately leads to RPL or infertility. The underlying mechanisms of this interaction are still unclear. The present comprehensive review is intended to demonstrate the role and interaction of RAAS and fibrinolytic pathways in pregnancy complications. How this interaction can induce pregnancy complications, and ultimately infertility, is also discussed in the light of current evidence. This study also presents common markers that link RAAS and fibrinolytic processes in developing thrombophilia, preeclampsia and RPL. The common link in these pathways is ACE gene I/D polymorphism. Apart from ACE, PAI-1, VIIa, XIIa, AT1R, AT1AA, and TF are common molecules that can delineate the underlying causes of pregnancy complications and infertility.

Heterogeneity in physician practice within nursing homes (NHs) may explain variations in quality. However, data on physician practice organization in NHs are hard to obtain. We characterized NH physician practice using two claims-based measures: (a) concentration of NH care among physicians (measured by Herfindahl–Hirschman index of visits); and (b) physician NH practice specialization (measured by the proportion of a physician’s visits to NHs). We examined the relationship between the measures and NH administrator perceptions of physician practice reported in the Shaping Long-Term Care in America (SLTCA) Survey. All 2011 Part B claims from 13,718 physicians who treated Medicare fee-for-service patients in 2,095 NHs in the SLTCA survey were analyzed. The median Herfindahl–Hirschman index was 0.44 (interquartile range [IQR] 0.28-0.70), and the median specialization was 38.1% (IQR 19.9% to 60.9%). NHs with higher physician specialization reported more frequent physician participation in care coordination activities. Claims-based measures could inform the study of NH physician practice.

The New England Neurosurgical Society (NENS) was founded in 1951 under the leadership of its first President (Dr. William Beecher Scoville) and Secretary-Treasurer (Dr. Henry Thomas Ballantine). The purpose of creating the NENS was to unite local neurosurgeons in the New England area; it was one of the first regional neurosurgical societies in America. Although regional neurosurgical societies are important supplements to national organizations, they have often been overshadowed in the available literature. Now in its 70th year, the NENS continues to serve as a platform to represent the needs of New England neurosurgeons, foster connections and networks with colleagues, and provide research and educational opportunities for trainees. Additionally, regional societies enable discussion of issues uniquely relevant to the region, improve referral patterns, and allow for easier attendance with geographic proximity. In this paper, the authors describe the history of the NENS and provide a roadmap for its future. The first section portrays the founders who led the first meetings and establishment of the NENS. The second section describes the early years of the NENS and profiles key leaders. The third section discusses subsequent neurosurgeons who steered the NENS and partnerships with other societies. In the fourth section, the modern era of the NENS and its current activities are highlighted.

BackgroundWild-type transthyretin amyloidosis (ATTRwt) is an underdiagnosed and potentially fatal disease. Interestingly, ATTRwt deposits have been found to deposit in the ligamentum flavum (LF) of patients with lumbar spinal stenosis prior to the development of systemic and cardiac amyloidosis. In order to study this phenomenon and its possible relationship with LF thickening and systemic amyloidosis, a precise method of quantifying amyloid deposits in histological slides of LF is critical. However, such a method is currently unavailable. Here, we present a machine learning quantification method with Trainable Weka Segmentation (TWS) to assess amyloid deposition in histological slides of LF.MethodsImages of ligamentum flavum specimens stained with Congo red are obtained from spinal stenosis patients undergoing laminectomies and confirmed to be positive for ATTRwt. Amyloid deposits in these specimens are classified and quantified by TWS through training the algorithm via user-directed annotations on images of LF. TWS can also be automated through exposure to a set of training images with user-directed annotations, and then application to a set of new images without additional annotations. Additional methods of color thresholding and manual segmentation are also used on these images for comparison to TWS.ResultsWe develop the use of TWS in images of LF and demonstrate its potential for automated quantification. TWS is strongly correlated with manual segmentation in the training set of images with user-directed annotations (R = 0.98; p = 0.0033) as well as in the application set of images where TWS was automated (R = 0.94; p = 0.016). Color thresholding was weakly correlated with manual segmentation in the training set of images (R = 0.78; p = 0.12) and in the application set of images (R = 0.65; p = 0.23).ConclusionTWS machine learning closely correlates with the gold standard comparator of manual segmentation and outperforms the color thresholding method. This novel machine learning method to quantify amyloid deposition in histological slides of ligamentum flavum is a precise, objective, accessible, high throughput, and powerful tool that will hopefully pave the way towards future research and clinical applications.

Intracranial hemorrhage (ICH) in patients with left ventricular assist devices (LVAD) is a devastating complication. Demographic risk factors for ICH in LVAD patients are defined, however anatomic predispositions to ICH are unknown. We sought to interrogate intracranial radiographic risk factors for ICH in LVAD patients.We reviewed 440 patients who received an LVAD from 2008-2021. We selected patients with CT scans of the head either before or after LVAD placement, but typically within 5 years. 288 patients (21 ICH, 267 Control) with imaging were included. A detailed chart review was performed on demographics, radiographic features, and management.The incidence of ICH in our total cohort was 8.6% (38/440). The presence of pump thrombosis (p=0.001), driveline infection (p=0.034), other hemorrhage (p=0.001), or previous placement of a cardio-defibrillator (p=.003) was associated with increased risk for ICH. An analysis of imaging revealed that the presence of a mass (p=0.006), vascular pathology (p=0.001), and microangiopathy (p=0.04) was significantly associated with ICH in LVAD patients. These radiographic features were validated with a multivariate logistic regression which confirmed presence of a mass (aOR 332.1, 95% CI: 14.7-7485.1, p0.001), vascular pathology (aOR 69.7, 95% CI: 1.8-2658.8, p=0.022), and microangiopathy (aOR 6.5, 95% CI: 1.1-37.6, p=0.035) were independently associated with ICH.Radiographic evidence of microangiopathy, intracranial mass, and vascular pathology are independent risk factors for ICH which are readily identified by imaging. We advocate that CT imaging be used to further stratify patients at highest risk of ICH during treatment with an LVAD.

There has been a considerable increase in the trade between India and Africa in the last few decades. In recent times, specifically post the global financial crisis of 2008, this trade pattern has exhibited significant rise. The potential of Africa as a trading partner has been realized by not only India but also other countries, and notable among them is China. The present paper analyzes the determining factors of overall trade, export and import of India with the African continent employing the generalized gravity models. The time period considered for the study is 1991–2014. We find the income levels of the trading partners to have a positive and significant impact on the overall trade and imports of India from Africa. The openness of the African nation also plays a positive and significant factor in this context. For the gravity model of exports from India to Africa, GDP of the African trading partner of India holds a positive and significant coefficient implying that as their economy grows, their demand for Indian goods (and services) increases. Interestingly, GNP per capita of India exhibits a negative and significant coefficient implying India’s exports to Africa decreases on account of rise in its per capita GDP. The findings also suggest that when inflation rates in India are high, i.e., money supply growth rate is high, India’s imports from Africa are on a rise. The exchange rate is associated with a negative and significant coefficient. This is indicative of the fact that as exchange rate increases, which means that as Indian currency depreciates with respect to African currencies, the imports of India from Africa deteriorate. The study marks its relevance in the present times as the present government has taken numerous measures to strengthen its economic ties with Africa and also that there is no extensive study on this so far.

The increase in cross-border assets and liabilities of nations with globalization, implies small asset price and currency movements create large wealth changes. The national net external position i...

Supplemental material, sj-pdf-1-mcr-10.1177_1077558720960900 for Characterizing Physician Practice in Nursing Homes Using Claims-Based Measures: Correlation With Nursing Home Administrators’ Perceptions by Kira L. Ryskina, Wei Song, Vaishnavi Sharma, Yihao Yuan and Orna Intrator in Medical Care Research and Review

Characterizing a reliable, pain-related neural signature is critical for translational applications. Many prior fMRI studies have examined acute pain-related brain activation in healthy participants. However, synthesizing these data to identify convergent patterns of activation can be challenging due to the heterogeneity of experimental designs and samples. To address this challenge, we conducted a comprehensive meta-analysis of fMRI studies of stimulus-induced pain in healthy participants. Following pre-registration, two independent reviewers evaluated 4,927 abstracts returned from a search of 8 databases, with 222 fMRI experiments meeting inclusion criteria. We analyzed these experiments using Activation Likelihood Estimation with rigorous type I error control (voxel height p < 0.001, cluster p < 0.05 FWE-corrected) and found a convergent, largely bilateral pattern of pain-related activation in the secondary somatosensory cortex, insula, midcingulate cortex, and thalamus. Notably, these regions were consistently recruited regardless of stimulation technique, location of induction, and participant sex. These findings suggest a highly-conserved core set of pain-related brain areas, encouraging applications as a biomarker for novel therapeutics targeting acute pain.HIGHLIGHTSPain stimulation recruits a core set of pain-related brain regions.This core set includes thalamus, SII, insula and mid-cingulate cortex.These regions were recruited regardless of stimulus modality and stimulus location.

Characterizing a reliable, pain-related neural signature is critical for translational applications. Many prior fMRI studies have examined acute nociceptive pain-related brain activation in healthy participants. However, synthesizing these data to identify convergent patterns of activation can be challenging due to the heterogeneity of experimental designs and samples. To address this challenge, we conducted a comprehensive meta-analysis of fMRI studies of stimulus-induced pain in healthy participants. Following pre-registration, two independent reviewers evaluated 4,927 abstracts returned from a search of 8 databases, with 222 fMRI experiments meeting inclusion criteria. We analyzed these experiments using Activation Likelihood Estimation with rigorous type I error control (voxel height p < 0.001, cluster p < 0.05 FWE-corrected) and found a convergent, largely bilateral pattern of pain-related activation in the secondary somatosensory cortex, insula, midcingulate cortex, and thalamus. Notably, these regions were consistently recruited regardless of stimulation technique, location of induction, and participant sex. These findings suggest a highly-conserved core set of pain-related brain areas, encouraging applications as a biomarker for novel therapeutics targeting acute nociceptive pain.

This meta-analysis assesses differential brain responses to noxious stimuli in patients with chronic pain using functional magnetic resonance imaging while adhering to current best practices for neuroimaging meta-analyses., Key Points Question Do the brains of patients with chronic pain respond differently to noxious stimuli? Findings This systematic review and meta-analysis of 37 experiments from 29 unique articles including 944 participants found that patients with chronic pain were not associated with significant differential responses to noxious stimuli that induce pain compared with healthy controls. Meaning Chronic pain does not appear to be associated with consistent marked alterations in the brain’s response to noxious stimuli., Importance Functional neuroimaging is a valuable tool for understanding how patients with chronic pain respond to painful stimuli. However, past studies have reported heterogenous results, highlighting opportunities for a quantitative meta-analysis to integrate existing data and delineate consistent associations across studies. Objective To identify differential brain responses to noxious stimuli in patients with chronic pain using functional magnetic resonance imaging (fMRI) while adhering to current best practices for neuroimaging meta-analyses. Data Sources All fMRI experiments published from January 1, 1990, to May 28, 2019, were identified in a literature search of PubMed/MEDLINE, EMBASE, Web of Science, Cochrane Library, PsycINFO, and SCOPUS. Study Selection Experiments comparing brain responses to noxious stimuli in fMRI between patients and controls were selected if they reported whole-brain results, included at least 10 patients and 10 healthy control participants, and used adequate statistical thresholding (voxel-height P

Terrorism is evolving rapidly, and with the technological advancements new threats are emerging from the ‘World of Terror'. Now, it has become crucial than ever to evaluate and channelise our capabilities to curb terrorism. This article evaluates the basics of human behaviour and how it can be tactically used against terrorism. The author has also addressed an important question often raised among the terrorism research community — ‘Who becomes a terrorist?'.

Advancements in the computing realm have assisted the Architecture, Engineering, and Construction (AEC) industry to progress significantly by automating several design tasks and activities. Building Information Modelling (BIM) authoring tools have played a significant role in automating design tasks and reducing the efforts required by the designer in redundant, repetitive or production-oriented activities. This paper explores one such approach that, with the help of BIM authoring tool and its Application Programming Interface (API), reduces the efforts expended on formwork design for concrete structures. The paper utilises the concept of using BIM data as input to compute the quantity of formwork, and generate visualisations and schedule of formwork. The developed approach first takes data input from semantic BIM to the API environment for computation and design of formwork systems, which is then placed within the BIM model, to generate visualisation and prepare schedules. The research work utilises a structural concrete wall as an example to demonstrate the presented approach. The approach will be influential in streamlining the formwork design process in the BIM environment and reducing efforts required by the designer and the planning engineer. Since the formwork elements are generated as 3-Dimensional (3D) solids and smart BIM elements, the generated model of formwork can be used for resolving clashes, scheduling, and resource planning.