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1. Diffusion tensor imaging and plasma immunological biomarker panel in a rat traumatic brain injury (TBI) model and in human clinical TBI

Author: Xuan Vinh To, Abdalla Z. Mohamed, Paul Cumming, and Fatima A. Nasrallah
Subjects: traumatic brain injury, controlled cortical impact model, inflammatory markers, diffusion tensor imaging, fractional anisotropy, Immunologic diseases. Allergy, RC581-607
Abstract: IntroductionNeuroinflammatory reactions play a significant role in the pathology and long-term consequences of traumatic brain injury (TBI) and may mediate salutogenic processes that white matter integrity. This study aimed to investigate the relationship between inflammatory markers and white matter integrity following TBI in both a rat TBI model and clinical TBI cases. MethodsIn the rat model, blood samples were collected following a controlled cortical impact (CCI) to assess a panel of inflammatory markers; MR-based diffusion tensor imaging (DTI) was employed to evaluate white matter integrity 60 days post-injury. 15 clinical TBI patients were similarly assessed for a panel of inflammatory markers and DTI post-intensive care unit discharge. Blood samples from healthy controls were used for comparison of the inflammatory markers. ResultsTime-dependent elevations in immunological markers were observed in TBI rats, with a correlation to preserved fractional anisotropy (FA) in white matter. Specifically, TBI-induced increased plasma levels of IL-1β, IL-6, G-CSF, CCL3, CCL5, and TNF-α were associated with higher white matter integrity, as measured by FA. Clinical cases had similar findings: elevated inflammatory markers (relative to controls) were associated with preservation of FA in vulnerable white matter regions. DiscussionInflammatory markers in post-TBI plasma samples are ambivalent with respect to prediction of favourable outcome versus a progression to more pervasive pathology and morbidity.
Published: 2024
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2. Association of sub-acute changes in plasma amino acid levels with long-term brain pathologies in a rat model of moderate-severe traumatic brain injury

Author: Xuan Vinh To, Abdalla Z. Mohamed, Paul Cumming, and Fatima A. Nasrallah
Subjects: traumatic brain injury, brain microstructure, amino acids, diffusion magnetic resonance imaging, neurite orientation dispersion and density imaging (NODDI), Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract: IntroductionTraumatic brain injury (TBI) induces a cascade of cellular alterations that are responsible for evolving secondary brain injuries. Changes in brain structure and function after TBI may occur in concert with dysbiosis and altered amino acid fermentation in the gut. Therefore, we hypothesized that subacute plasma amino acid levels could predict long-term microstructural outcomes as quantified using neurite orientation dispersion and density imaging (NODDI).MethodsFourteen 8–10-week-old male rats were randomly assigned either to sham (n = 6) or a single moderate-severe TBI (n = 8) procedure targeting the primary somatosensory cortex. Venous blood samples were collected at days one, three, seven, and 60 post-procedure and NODDI imaging were carried out at day 60. Principal Component Regression analysis was used to identify time dependent plasma amino acid concentrations after in the subacute phase post-injury that predicted NODDI metric outcomes at day 60.ResultsThe TBI group had significantly increased plasma levels of glutamine, arginine, alanine, proline, tyrosine, valine, isoleucine, leucine, and phenylalanine at days three-seven post-injury. Higher levels of several neuroprotective amino acids, especially the branched-chain amino acids (valine, isoleucine, leucine) and phenylalanine, as well as serine, arginine, and asparagine at days three-seven post-injury were also associated with lower isotropic diffusion volume fraction measures in the ventricles and thus lesser ventricular dilation at day 60.DiscussionIn the first such study, we examined the relationship between the long-term post-TBI microstructural outcomes across whole brain and the subacute changes in plasma amino acid concentrations. At days three to seven post-injury, we observed that increased plasma levels of several amino acids, particularly the branched-chain amino acids and phenylalanine, were associated with lesser degrees of ventriculomegaly and hydrocephalus TBI neuropathology at day 60 post-injury. The results imply that altered amino acid fermentation in the gut may mediate neuroprotection in the aftermath of TBI.
Published: 2023
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3. Traumatic brain injury augurs ill for prolonged deficits in the brain’s structural and functional integrity following controlled cortical impact injury

Author: Abdalla Z. Mohamed, Paul Cumming, and Fatima A. Nasrallah
Subjects: Medicine, Science
Abstract: Abstract Previous neuroimaging studies in rodents investigated effects of the controlled cortical impact (CCI) model of traumatic brain injury (TBI) within one-month post-TBI. This study extends this temporal window to monitor the structural–functional alterations from two hours to six months post-injury. Thirty-seven male Sprague–Dawley rats were randomly assigned to TBI and sham groups, which were scanned at two hours, 1, 3, 7, 14, 30, 60 days, and six months following CCI or sham surgery. Structural MRI, diffusion tensor imaging, and resting-state functional magnetic resonance imaging were acquired to assess the dynamic structural, microstructural, and functional connectivity alterations post-TBI. There was a progressive increase in lesion size associated with brain volume loss post-TBI. Furthermore, we observed reduced fractional anisotropy within 24 h and persisted to six months post-TBI, associated with acutely reduced axial diffusivity, and chronic increases in radial diffusivity post-TBI. Moreover, a time-dependent pattern of altered functional connectivity evolved over the six months’ follow-up post-TBI. This study extends the current understanding of the CCI model by confirming the long-term persistence of the altered microstructure and functional connectivity, which may hold a strong translational potential for understanding the long-term sequelae of TBI in humans.
Published: 2021
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4. Multimodal MRI of myalgic encephalomyelitis/chronic fatigue syndrome: A cross-sectional neuroimaging study toward its neuropathophysiology and diagnosis

Author: Zack Y. Shan, Abdalla Z. Mohamed, Thu Andersen, Shae Rendall, Richard A. Kwiatek, Peter Del Fante, Vince D. Calhoun, Sandeep Bhuta, and Jim Lagopoulos
Subjects: translational neuroimaging, MRI, ME/CFS, neuromarker, neurovascular coupling, Neurology. Diseases of the nervous system, RC346-429
Abstract: IntroductionMyalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), is a debilitating illness affecting up to 24 million people worldwide but concerningly there is no known mechanism for ME/CFS and no objective test for diagnosis. A series of our neuroimaging findings in ME/CFS, including functional MRI (fMRI) signal characteristics and structural changes in brain regions particularly sensitive to hypoxia, has informed the hypothesis that abnormal neurovascular coupling (NVC) may be the neurobiological origin of ME/CFS. NVC is a critical process for normal brain function, in which glutamate from an active neuron stimulates Ca2+ influx in adjacent neurons and astrocytes. In turn, increased Ca2+ concentrations in both astrocytes and neurons trigger the synthesis of vascular dilator factors to increase local blood flow assuring activated neurons are supplied with their energy needs.This study investigates NVC using multimodal MRIs: (1) hemodynamic response function (HRF) that represents regional brain blood flow changes in response to neural activities and will be modeled from a cognitive task fMRI; (2) respiration response function (RRF) represents autoregulation of regional blood flow due to carbon dioxide and will be modeled from breath-holding fMRI; (3) neural activity associated glutamate changes will be modeled from a cognitive task functional magnetic resonance spectroscopy. We also aim to develop a neuromarker for ME/CFS diagnosis by integrating the multimodal MRIs with a deep machine learning framework.Methods and analysisThis cross-sectional study will recruit 288 participants (91 ME/CFS, 61 individuals with chronic fatigue, 91 healthy controls with sedentary lifestyles, 45 fibromyalgia). The ME/CFS will be diagnosed by consensus diagnosis made by two clinicians using the Canadian Consensus Criteria 2003. Symptoms, vital signs, and activity measures will be collected alongside multimodal MRI.The HRF, RRF, and glutamate changes will be compared among four groups using one-way analysis of covariance (ANCOVA). Equivalent non-parametric methods will be used for measures that do not exhibit a normal distribution. The activity measure, body mass index, sex, age, depression, and anxiety will be included as covariates for all statistical analyses with the false discovery rate used to correct for multiple comparisons.The data will be randomly divided into a training (N = 188) and a validation (N = 100) group. Each MRI measure will be entered as input for a least absolute shrinkage and selection operator—regularized principal components regression to generate a brain pattern of distributed clusters that predict disease severity. The identified brain pattern will be integrated using multimodal deep Boltzmann machines as a neuromarker for predicting ME/CFS fatigue conditions. The receiver operating characteristic curve of the identified neuromarker will be determined using data from the validation group.Ethics and study registryThis study was reviewed and approved by University of the Sunshine Coast University Ethics committee (A191288) and has been registered with The Australian New Zealand Clinical Trials Registry (ACTRN12622001095752).Dissemination of resultsThe results will be disseminated through peer reviewed scientific manuscripts and conferences and to patients through social media and active engagement with ME/CFS associations.
Published: 2022
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5. A longitudinal study of functional connectome uniqueness and its association with psychological distress in adolescence

Author: Zack Y Shan, Abdalla Z Mohamed, Paul Schwenn, Larisa T McLoughlin, Amanda Boyes, Dashiell D Sacks, Christina Driver, Vince D. Calhoun, Jim Lagopoulos, and Daniel F Hermens
Subjects: Uniqueness, Functional connectome, Resting state fMRI, Psychological distress, Adolescence, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract: Each human brain has a unique functional synchronisation pattern (functional connectome) analogous to a fingerprint that underpins brain functions and related behaviours. Here we examine functional connectome (whole-brain and 13 networks) maturation by measuring its uniqueness in adolescents who underwent brain scans longitudinally from 12 years of age every four months. The uniqueness of a functional connectome is defined as its ratio of self-similarity (from the same subject at a different time point) to the maximal similarity-to-others (from a given subject and any others at a different time point). We found that the unique whole brain connectome exists in 12 years old adolescents, with 92% individuals having a whole brain uniqueness value greater than one. The cingulo-opercular network (CON; a long-acting ‘brain control network’ configuring information processing) demonstrated marginal uniqueness in early adolescence with 56% of individuals showing uniqueness greater than one (i.e., more similar to her/his own CON four months later than those from any other subjects) and this increased longitudinally. Notably, the low uniqueness of the CON correlates (β = -18.6, FDR-Q
Published: 2022
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6. Dataset of brain functional connectome and its maturation in adolescents

Author: Zack Y. Shan, Abdalla Z. Mohamed, Paul Schwenn, Larisa T. McLoughlin, Amanda Boyes, Dashiell D. Sacks, Christina Driver, Vince D. Calhoun, Jim Lagopoulos, and Daniel F. Hermens
Subjects: fMRI, Functional connectivity, Adolescent, Brain developmental changes, Longitudinal study, Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390
Abstract: We provided the dataset of brain connectome matrices, their similarities measures to self and others longitudinally, and Kessler's psychological distress scales (K10) including the response to each question. The dataset can be used to replicate the results of the manuscript titled “A longitudinal study of functional connectome uniqueness and its association with psychological distress in adolescence”. The functional connectome (whole-brain and 13 networks) matrices were calculated from the resting-state functional MRIs (rs-fMRIs). We collected rs-fMRI and Kessler's psychological distress scale (K10) in 77 adolescents longitudinally up to 9 times from 12 years of age every four months. After removal of data with excessive motion, 262 functional connectome matrices were provided with this paper. The 300 regions of interest (ROIs) were defined using the Greene lab brain atlas. The functional connectome matrices were calculated as correlations between time series from any pair of ROIs extracted from pre-processed fMRIs. This dataset could be potentially used to 1. Understand developmental changes in the functional brain connectivity, 2. As a normal control database of functional connectome matrices, 3. Develop and validate connectome and network-related analysing methods.
Published: 2022
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7. A binge high sucrose diet provokes systemic and cerebral inflammation in rats without inducing obesity

Author: Omkar L. Patkar, Abdalla Z. Mohamed, Ashwin Narayanan, Karine Mardon, Gary Cowin, Rajiv Bhalla, Damion H. R. Stimson, Michael Kassiou, Kate Beecher, Arnauld Belmer, Ignatius Alvarez Cooper, Michael Morgan, David A. Hume, Katharine M. Irvine, Selena E. Bartlett, Fatima Nasrallah, and Paul Cumming
Subjects: Medicine, Science
Abstract: Abstract While the dire cardiometabolic consequences of the hypercaloric modern ‘Western’ diet are well known, there is not much information on the health impact of a high sucrose diet not inducing weight gain. Here, we tested the hypothesis that rats reared with intermittent binge access to sucrose in addition to normal chow would develop an inflammatory response in brain. To test this hypothesis, we undertook serial PET/MRI scans with the TSPO ligand [18F]DPA714 in a group of (n=9) rats at baseline and again after voluntarily consuming 5% sucrose solution three days a week for three months. Compared to a control group fed with normal chow (n=9), the sucrose rats indeed showed widespread increases in the availability of cerebral binding sites for the microglial marker, despite normal weight gain compared to the control diet group. Subsequent immunofluorescence staining of the brains confirmed the PET findings, showing a widespread 20% increase in the abundance of IBA-1-positive microglia with characteristic ‘semi-activated’ morphology in the binge sucrose rats, which had 23% lower density of microglial endpoints and 25% lower mean process length compared to microglia in the control rats with ordinary feeding. GFAP immunofluorescence showed no difference in astroglial coverage in the sucrose rats, except for a slight reduction in hypothalamus. The binge sucrose diet-induced neuroinflammation was associated with a significant elevation of white blood cell counts. Taking these results together, we find that long-term intake of sucrose in a binge paradigm, similar in sucrose content to the contemporary Western diet, triggered a low-grade systemic and central inflammation in non-obese rats. The molecular mechanism of this phenomenon remains to be established.
Published: 2021
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8. Escalation of Tau Accumulation after a Traumatic Brain Injury: Findings from Positron Emission Tomography

Author: Abdalla Z. Mohamed, Paul Cumming, Fatima A. Nasrallah, and Alzheimer’s Disease Neuroimaging Initiative
Subjects: traumatic brain injury, flortaucipir [18F]-AV1451, positron emission tomography, tau, CSF biomarkers, Alzheimer’s disease, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract: Traumatic brain injury (TBI) has come to be recognized as a risk factor for Alzheimer’s disease (AD), with poorly understood underlying mechanisms. We hypothesized that a history of TBI would be associated with greater tau deposition in elders with high-risk for dementia. A Groups of 20 participants with self-reported history of TBI and 100 without any such history were scanned using [18F]-AV1451 positron emission tomography as part of the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Scans were stratified into four groups according to TBI history, and by clinical dementia rating scores into cognitively normal (CDR = 0) and those showing cognitive decline (CDR ≥ 0.5). We pursued voxel-based group comparison of [18F]-AV1451 uptake to identify the effect of TBI history on brain tau deposition, and for voxel-wise correlation analyses between [18F]-AV1451 uptake and different neuropsychological measures and cerebrospinal fluid (CSF) biomarkers. Compared to the TBI-/CDR ≥ 0.5 group, the TBI+/CDR ≥ 0.5 group showed increased tau deposition in the temporal pole, hippocampus, fusiform gyrus, and inferior and middle temporal gyri. Furthermore, the extent of tau deposition in the brain of those with TBI history positively correlated with the extent of cognitive decline, CSF-tau, and CSF-amyloid. This might suggest TBI to increase the risk for tauopathies and Alzheimer’s disease later in life.
Published: 2022
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9. Combined Diffusion Tensor Imaging and Quantitative Susceptibility Mapping Discern Discrete Facets of White Matter Pathology Post-injury in the Rodent Brain

Author: Neha Soni, Viktor Vegh, Xuan Vinh To, Abdalla Z. Mohamed, Karin Borges, and Fatima A. Nasrallah
Subjects: traumatic brain injury, diffusion tensor imaging, track-based spatial statistics, quantitative susceptibility mapping, myelin, gliosis, Neurology. Diseases of the nervous system, RC346-429
Abstract: Early loss of white matter microstructure integrity is a significant cause of long-term neurological disorders following traumatic brain injury (TBI). White matter abnormalities typically involve axonal loss and demyelination. In-vivo imaging tools to detect and differentiate such microstructural changes are not well-explored. This work utilizes the conjoint potential offered by advanced magnetic resonance imaging techniques, including quantitative susceptibility mapping (QSM) and diffusion tensor imaging (DTI), to discern the underlying white matter pathology at specific time points (5 h, 1, 3, 7, 14, and 30 days) post-injury in the controlled cortical impact mouse model. A total of 42 animals were randomized into six TBI groups (n = 6 per group) and one sham group (n = 6). Histopathology was performed to validate in-vivo findings by performing myelin basic protein (MBP) and glial fibrillary acidic protein (GFAP) immunostaining for the assessment of changes to myelin and astrocytes. After 5 h of injury radial diffusivity (RD) was increased in white matter without a significant change in axial diffusivity (AxD) and susceptibility values. After 1 day post-injury RD was decreased. AxD and susceptibility changes were seen after 3 days post-injury. Susceptibility increases in white matter were observed in both ipsilateral and contralateral regions and persisted for 30 days. In histology, an increase in GFAP immunoreactivity was observed after 3 days post-injury and remained high for 30 days in both ipsilateral and contralateral white matter regions. A loss in MBP signal was noted after 3 days post-injury that continued up to 30 days. In conclusion, these results demonstrate the complementary ability of DTI and QSM in discerning the micro-pathological processes triggered following TBI. While DTI revealed acute and focal white matter changes, QSM mirrored the temporal demyelination in the white matter tracts and diffuse regions at the chronic state.
Published: 2020
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10. Evaluating spatiotemporal microstructural alterations following diffuse traumatic brain injury

Author: Abdalla Z Mohamed, Frances Corrigan, Lyndsey E. Collins-Praino, Stephanie L. Plummer, Neha Soni, and Fatima A. Nasrallah
Subjects: Computer applications to medicine. Medical informatics, R858-859.7, Neurology. Diseases of the nervous system, RC346-429
Abstract: Background: Diffuse traumatic brain injury (TBI) is known to lead to microstructural changes within both white and grey matter detected in vivo with diffusion tensor imaging (DTI). Numerous studies have shown alterations in fractional anisotropy (FA) and mean diffusivity (MD) within prominent white matter tracts, but few have linked these to changes within the grey matter with confirmation via histological assessment. This is especially important as alterations in the grey matter may be predictive of long-term functional deficits. Methods: A total of 33 male Sprague Dawley rats underwent severe closed-head TBI. Eight animals underwent tensor-based morphometry (TBM) and DTI at baseline (pre-TBI), 24 hours (24 h), 7, 14, and 30 days post-TBI. Immunohistochemical analysis for the detection of ionised calcium-binding adaptor molecule 1 (IBA1) to assess microglia number and percentage of activated cells, β-amyloid precursor protein (APP) as a marker of axonal injury, and myelin basic protein (MBP) to investigate myelination was performed at each time-point. Results: DTI showed significant alterations in FA and RD in numerous white matter tracts including the corpus callosum, internal and external capsule, and optic tract and in the grey-matter in the cortex, thalamus, and hippocampus, with the most significant effects observed at 14 D post-TBI. TBM confirmed volumetric changes within the hippocampus and thalamus. Changes in DTI were in line with significant axonal injury noted at 24 h post-injury via immunohistochemical analysis of APP, with widespread microglial activation seen within prominent white matter tracts and the grey matter, which persisted to 30 D within the hippocampus and thalamus. Microstructural alterations in MBP+ve fibres were also noted within the hippocampus and thalamus, as well as the cortex. Conclusion: This study confirms the widespread effects of diffuse TBI on white matter tracts which could be detected via DTI and extends these findings to key grey matter regions, with a comprehensive investigation of the whole brain. In particular, the hippocampus and thalamus appear to be vulnerable to ongoing pathology post-TBI, with DTI able to detect these alterations supporting the clinical utility in evaluating these regions post-TBI. Keywords: Traumatic brain injury, Diffusion tensor Imaging, Structural magnetic resonance imaging, Axonal injury, Neuroinflammation
Published: 2020
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11. Amyloid pathology fingerprint differentiates post-traumatic stress disorder and traumatic brain injury

Author: Abdalla Z. Mohamed, Paul Cumming, Hussein Srour, Tamara Gunasena, Aya Uchida, Courtney Nicole Haller, and Fatima Nasrallah
Subjects: Computer applications to medicine. Medical informatics, R858-859.7, Neurology. Diseases of the nervous system, RC346-429
Abstract: Introduction: Traumatic brain injury (TBI) and post-traumatic stress disorder (PTSD) are risk factors for early onset of Alzheimer's disease (AD) and may accelerate the progression rate of AD pathology. As amyloid-beta (Aβ) plaques are a hallmark of AD pathology, we hypothesized that TBI and PTSD might increase Aβ accumulation in the brain. Methods: We examined PET and neuropsychological data from Vietnam War veterans compiled by the US Department of Defense Alzheimer's Disease Neuroimaging Initiative, to examine the spatial distribution of Aβ in male veterans' who had experienced a TBI and/or developed PTSD. Subjects were classified into controls, TBI only, PTSD only, and TBI with PTSD (TBI_PTSD) groups and data were analyzed using both voxel-based and ROI-based approaches. Results: Compared to controls, all three clinical groups showed a pattern of mainly increased referenced standard uptake values (SUVR) for the amyloid tracer [18F]-AV45 PET, with rank order PTSD > TBI_PTSD > TBI > Control, and same rank order was seen in the deficits of cognitive functions. SUVR increase was observed in widespread cortical regions of the PTSD group; in white matter of the TBI_PTSD group; and cerebellum and precuneus area of the TBI group, in contrast with controls. The [18F]-AV45 SUVR correlated negatively with cerebrospinal fluid (CSF) amyloid levels and positively with the CSF tau concentrations. Conclusion: These results suggest that both TBI and PTSD are substantial risk factors for cognition decline and increased Aβ deposition resembling that in AD. In addition, both PTSD and TBI_PTSD have a different pathways of Aβ accumulation. Keywords: Traumatic brain injury, Post-traumatic stress disorder, Alzheimer's disease, Amyloid, PET, Department of Defense Alzheimer's Disease Neuroimaging Initiative (DOD-ADNI)
Published: 2018
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12. Response to the letter concerning the publication: Amyloid pathology fingerprint differentiates post-traumatic stress disorder and traumatic brain injury. Mohamed AZ, et al. NeuroImage Clinical 2018 June 5;19:716–726

Author: Abdalla Z. Mohamed, Paul Cumming, and Fatima A. Nasrallah
Subjects: Computer applications to medicine. Medical informatics, R858-859.7, Neurology. Diseases of the nervous system, RC346-429
Abstract: In August 2018, Weiner and colleagues raised a red flag concerning certain errors in the tables and figures of our article, “Amyloid pathology fingerprint differentiates post-traumatic stress disorder and traumatic brain injury. NeuroImage Clinical 2018 Jun 5;19:716–726”. We have addressed this in detail in our published “Corrigendum to ‘Amyloid pathology fingerprint differentiates post-traumatic stress disorder and traumatic brain injury’ NeuroImage: Clinical. 19 (2018) 716–726”. However, recently Prof. Weiner and colleagues have raised a new issue in indicating that they could not 'replicate our results, despite accurately emulating our methods. We have prepared this letter in response to their recent letter.
Published: 2019
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13. Oral ketamine effects on dynamics of functional network connectivity in patients treated for chronic suicidality

Author: Shan, Zack Y., Can, Adem T., Mohamed, Abdalla Z., Dutton, Megan, Hermens, Daniel F., Calhoun, Vince D., Williams, Leanne M., Bennett, Maxwell, and Lagopoulos, Jim
Published: 2024
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14. Understanding Wellbeing Profiles According to White Matter Structural Connectivity Sub-types in Early Adolescents: The First Hundred Brains Cohort from the Longitudinal Adolescent Brain Study

Author: Driver, Christina, Boyes, Amanda, Mohamed, Abdalla Z., Levenstein, Jacob M., Parker, Marcella, and Hermens, Daniel F.
Published: 2024
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15. Linking Symptom Inventories using Semantic Textual Similarity

Author: Kennedy, Eamonn, Vadlamani, Shashank, Lindsey, Hannah M, Peterson, Kelly S, OConnor, Kristen Dams, Murray, Kenton, Agarwal, Ronak, Amiri, Houshang H, Andersen, Raeda K, Babikian, Talin, Baron, David A, Bigler, Erin D, Caeyenberghs, Karen, Delano-Wood, Lisa, Disner, Seth G, Dobryakova, Ekaterina, Eapen, Blessen C, Edelstein, Rachel M, Esopenko, Carrie, Genova, Helen M, Geuze, Elbert, Goodrich-Hunsaker, Naomi J, Grafman, Jordan, Haberg, Asta K, Hodges, Cooper B, Hoskinson, Kristen R, Hovenden, Elizabeth S, Irimia, Andrei, Jahanshad, Neda, Jha, Ruchira M, Keleher, Finian, Kenney, Kimbra, Koerte, Inga K, Liebel, Spencer W, Livny, Abigail, Lovstad, Marianne, Martindale, Sarah L, Max, Jeffrey E, Mayer, Andrew R, Meier, Timothy B, Menefee, Deleene S, Mohamed, Abdalla Z, Mondello, Stefania, Monti, Martin M, Morey, Rajendra A, Newcombe, Virginia, Newsome, Mary R, Olsen, Alexander, Pastorek, Nicholas J, Pugh, Mary Jo, Razi, Adeel, Resch, Jacob E, Rowland, Jared A, Russell, Kelly, Ryan, Nicholas P, Scheibel, Randall S, Schmidt, Adam T, Spitz, Gershon, Stephens, Jaclyn A, Tal, Assaf, Talbert, Leah D, Tartaglia, Maria Carmela, Taylor, Brian A, Thomopoulos, Sophia I, Troyanskaya, Maya, Valera, Eve M, van der Horn, Harm Jan, Van Horn, John D, Verma, Ragini, Wade, Benjamin SC, Walker, Willian SC, Ware, Ashley L, Werner Jr, J Kent, Yeates, Keith Owen, Zafonte, Ross D, Zeineh, Michael M, Zielinski, Brandon, Thompson, Paul M, Hillary, Frank G, Tate, David F, Wilde, Elisabeth A, and Dennis, Emily L
Subjects: Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract: An extensive library of symptom inventories has been developed over time to measure clinical symptoms, but this variety has led to several long standing issues. Most notably, results drawn from different settings and studies are not comparable, which limits reproducibility. Here, we present an artificial intelligence (AI) approach using semantic textual similarity (STS) to link symptoms and scores across previously incongruous symptom inventories. We tested the ability of four pre-trained STS models to screen thousands of symptom description pairs for related content - a challenging task typically requiring expert panels. Models were tasked to predict symptom severity across four different inventories for 6,607 participants drawn from 16 international data sources. The STS approach achieved 74.8% accuracy across five tasks, outperforming other models tested. This work suggests that incorporating contextual, semantic information can assist expert decision-making processes, yielding gains for both general and disease-specific clinical assessment.
Published: 2023

16. Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author: Brauer, Michael, Roth, Gregory A, Aravkin, Aleksandr Y, Zheng, Peng, Abate, Kalkidan Hassen, Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbasgholizadeh, Rouzbeh, Abbasi, Madineh Akram, Abbasian, Mohammadreza, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abd ElHafeez, Samar, Abd-Elsalam, Sherief, Abdi, Parsa, Abdollahi, Mohammad, Abdoun, Meriem, Abdulah, Deldar Morad, Abdullahi, Auwal, Abebe, Mesfin, Abedi, Aidin, Abedi, Armita, Abegaz, Tadesse M, Abeldaño Zuñiga, Roberto Ariel, Abiodun, Olumide, Abiso, Temesgen Lera, Aboagye, Richard Gyan, Abolhassani, Hassan, Abouzid, Mohamed, Aboye, Girma Beressa, Abreu, Lucas Guimarães, Abualruz, Hasan, Abubakar, Bilyaminu, Abu-Gharbieh, Eman, Abukhadijah, Hana Jihad Jihad, Aburuz, Salahdein, Abu-Zaid, Ahmed, Adane, Mesafint Molla, Addo, Isaac Yeboah, Addolorato, Giovanni, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Aden, Bashir, Adetunji, Juliana Bunmi, Adeyeoluwa, Temitayo Esther, Adha, Rishan, Adibi, Amin, Adnani, Qorinah Estiningtyas Sakilah, Adzigbli, Leticia Akua, Afolabi, Aanuoluwapo Adeyimika, Afolabi, Rotimi Felix, Afshin, Ashkan, Afyouni, Shadi, Afzal, Muhammad Sohail, Afzal, Saira, Agampodi, Suneth Buddhika, Agbozo, Faith, Aghamiri, Shahin, Agodi, Antonella, Agrawal, Anurag, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Noah, Ahmad, Shahzaib, Ahmad, Tauseef, Ahmed, Ali, Ahmed, Anisuddin, Ahmed, Ayman, Ahmed, Luai A, Ahmed, Muktar Beshir, Ahmed, Safoora, Ahmed, Syed Anees, Ajami, Marjan, Akalu, Gizachew Taddesse, Akara, Essona Matatom, Akbarialiabad, Hossein, Akhlaghi, Shiva, Akinosoglou, Karolina, Akinyemiju, Tomi, Akkaif, Mohammed Ahmed, Akkala, Sreelatha, Akombi-Inyang, Blessing, Al Awaidy, Salah, Al Hasan, Syed Mahfuz, Alahdab, Fares, AL-Ahdal, Tareq Mohammed Ali, Alalalmeh, Samer O, Alalwan, Tariq A, Al-Aly, Ziyad, Alam, Khurshid, Alam, Nazmul, Alanezi, Fahad Mashhour, Alanzi, Turki M, Albakri, Almaza, AlBataineh, Mohammad T, Aldhaleei, Wafa A, Aldridge, Robert W, Alemayohu, Mulubirhan Assefa, Alemu, Yihun Mulugeta, Al-Fatly, Bassam, Al-Gheethi, Adel Ali Saeed, Al-Habbal, Khairat, Alhabib, Khalid F, Alhassan, Robert Kaba, Ali, Abid, Ali, Amjad, Ali, Beriwan Abdulqadir, Ali, Iman, Ali, Liaqat, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait Shujait, Ali, Waad, Alicandro, Gianfranco, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Alla, François, Al-Marwani, Sabah, Al-Mekhlafi, Hesham M, Almustanyir, Sami, Alomari, Mahmoud A, Alonso, Jordi, Alqahtani, Jaber S, Alqutaibi, Ahmed Yaseen, Al-Raddadi, Rajaa M, Alrawashdeh, Ahmad, Al-Rifai, Rami Hani, Alrousan, Sahel Majed, Al-Sabah, Salman Khalifah, Alshahrani, Najim Z, Altaany, Zaid, Altaf, Awais, Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Aluh, Deborah Oyine, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J, Alwafi, Hassan, Al-Wardat, Mohammad Sami, Al-Worafi, Yaser Mohammed, Aly, Hany, Aly, Safwat, Alzoubi, Karem H, Al-Zyoud, Walid, Amaechi, Uchenna Anderson, Aman Mohammadi, 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Samer H, Murray, Christopher J L, and Gakidou, Emmanuela
Published: 2024
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17. Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

Author: Bhattacharjee, Natalia V, Schumacher, Austin E, Aali, Amirali, Abate, Yohannes Habtegiorgis, Abbasgholizadeh, Rouzbeh, Abbasian, Mohammadreza, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd ElHafeez, Samar, Abd-Elsalam, Sherief, Abdollahi, Mohammad, Abdollahifar, Mohammad-Amin, Abdoun, Meriem, Abdullahi, Auwal, Abebe, Mesfin, Abebe, Samrawit Shawel, Abiodun, Olumide, Abolhassani, Hassan, Abolmaali, Meysam, Abouzid, Mohamed, Aboye, Girma Beressa, Abreu, Lucas Guimarães, Abrha, Woldu Aberhe, Abrigo, Michael R M, Abtahi, Dariush, Abualruz, Hasan, Abubakar, Bilyaminu, Abu-Gharbieh, Eman, Abu-Rmeileh, Niveen ME, Adal, Tadele Girum Girum, Adane, Mesafint Molla, Adeagbo, Oluwafemi Atanda Adeagbo, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Aden, Bashir, Adepoju, Abiola Victor, Adetokunboh, Olatunji O, Adetunji, Juliana Bunmi, Adeyinka, Daniel Adedayo, Adeyomoye, Olorunsola Israel, Adnani, Qorinah Estiningtyas Sakilah, Adra, Saryia, Afolabi, Rotimi Felix, Afyouni, Shadi, Afzal, Muhammad Sohail, Afzal, Saira, Aghamiri, Shahin, Agodi, Antonella, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahlstrom, Austin J, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Muayyad M, Ahmad, Sajjad, Ahmad, Tauseef, Ahmed, Ali, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Luai A, Ahmed, Meqdad Saleh, Ahmed, Syed Anees, Ajami, Marjan, Aji, Budi, Akalu, Gizachew Taddesse, Akbarialiabad, Hossein, Akinyemi, Rufus Olusola, Akkaif, Mohammed Ahmed, Akkala, Sreelatha, Al Hamad, Hanadi, Al Hasan, Syed Mahfuz, Al Qadire, Mohammad, AL-Ahdal, Tareq Mohammed Ali, Alalalmeh, Samer O, Alalwan, Tariq A, Al-Aly, Ziyad, Alam, Khurshid, Al-amer, Rasmieh Mustafa, Alanezi, Fahad Mashhour, Alanzi, Turki M, Albakri, Almaza, Albashtawy, Mohammed, AlBataineh, Mohammad T, Alemi, Hediyeh, Alemi, Sharifullah, Alemu, Yihun Mulugeta, Al-Eyadhy, Ayman, Al-Gheethi, Adel Ali Saeed, Alhabib, Khalid F, Alhajri, Noora, Alhalaiqa, Fadwa Alhalaiqa Naji, Alhassan, Robert Kaba, Ali, Abid, Ali, Beriwan Abdulqadir, Ali, 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Mosfequr, Rahman, Mohammad Hifz Ur, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmanian, Vahid, Rahmati, Masoud, Rahnavard, Niloufar, Rai, Pramila, Raimondo, Diego, Rajabpour-Sanati, Ali, Rajput, Prashant, Ram, Prasanna, Ramasamy, Shakthi Kumaran, Rana, Juwel, Rana, Kritika, Rana, Shailendra Singh, Ranabhat, Chhabi Lal, Rancic, Nemanja, Rane, Amey, Ranjan, Shubham, Rao, Chythra R, Rao, Indu Ramachandra, Rapaka, Deepthi, Rasella, Davide, Rashedi, Sina, Rashedi, Vahid, Rashidi, Mohammad-Mahdi, Rasul, Azad, Ratan, Zubair Ahmed, Rathnaiah Babu, Giridhara, Rauniyar, Santosh Kumar, Ravikumar, Nakul, Rawaf, David Laith, Rawaf, Salman, Rawassizadeh, Reza, Rawlley, Bharat, Reddy, Murali Mohan Rama Krishna, Redwan, Elrashdy Moustafa Mohamed, Remuzzi, Giuseppe, Reshmi, Bhageerathy, Rezaei, Nazila, Rezaei Nejad, Aida, Rezaeian, Mohsen, Riad, Abanoub, Riaz, Mavra A, Rickard, Jennifer, Rikhtegar, Reza, Robinson-Oden, Hannah Elizabeth, Rodrigues, Célia Fortuna, Rodriguez, Jefferson Antonio Buendia, Rohilla, Ravi, Romadlon, Debby Syahru, Ronfani, Luca, Rout, Himanshu Sekhar, Roy, Bedanta, Roy, Nitai, Roy, Priyanka, Rubagotti, Enrico, Ruela, Guilherme de Andrade, Rumisha, Susan Fred, Runghien, Tilleye, S, Manjula, S N, Chandan, Saad, Aly M A, Saadatian, Zahra, Saber-Ayad, Maha Mohamed, SaberiKamarposhti, Morteza, Sabour, Siamak, Sada, Fatos, Saddik, Basema, Sadee, Bashdar Abuzed, Sadeghi, Ehsan, Sadeghi, Erfan, Saeb, Mohammad Reza, Saeed, Umar, Safi, Sher Zaman, Sagoe, Dominic, Saha, Manika, Sahebkar, Amirhossein, Sahoo, Soumya Swaroop, Sahu, Monalisha, Saif, Zahra, Sakshaug, Joseph W, Salamati, Payman, Salami, Afeez Abolarinwa, Saleh, Mohamed A, Salem, Marwa Rashad, Salem, Mohammed Z Y, Salimi, Sohrab, Samadzadeh, Sara, Samodra, Yoseph Leonardo, Samuel, Vijaya Paul, Samy, Abdallah M, Sanabria, Juan, Sanadgol, Nima, Sanna, Francesca, Santric-Milicevic, Milena M, Saqib, Haaris, Saraswathy, Sivan Yegnanarayana Iyer, Saravanan, Aswini, Saravi, Babak, Sarikhani, Yaser, Sarkar, Tanmay, Sarmiento-Suárez, Rodrigo, Sarode, Gargi Sachin, Sarode, Sachin C, Sarveazad, Arash, Sathian, Brijesh, Sathish, Thirunavukkarasu, Sathyanarayan, Anudeep, Sayeed, Abu, Sayeed, Md Abu, Scarmeas, Nikolaos, Schlee, Winfried, Schuermans, Art, Schwebel, David C, Schwendicke, Falk, Selvaraj, Siddharthan, Sengupta, Pallav, Senthilkumaran, Subramanian, Sepanlou, Sadaf G, Serban, Dragos, Serván-Mori, Edson, Sethi, Yashendra, SeyedAlinaghi, SeyedAhmad, Seyedi, Seyed Arsalan, Seylani, Allen, Shafie, Mahan, Shah, Jaffer, Shah, Pritik A, Shahbandi, Ataollah, Shahid, Samiah, Shahwan, Moyad Jamal, Shaikh, Ahmed, Shaikh, Masood Ali, Shamim, Muhammad Aaqib, Shams-Beyranvand, Mehran, Shamsi, Mohammad Anas, Shanawaz, Mohd, Shankar, Abhishek, Shannawaz, Mohammed, Sharath, Medha, Sharfaei, Sadaf, Sharifan, Amin, Sharifi-Rad, Javad, Sharma, Manoj, Sharma, Rajesh, Sharma, Ujjawal, Sharma, Vishal, Shastry, Rajesh P, Shavandi, Amin, Shaw, David H, Shayan, Amir Mehdi, Shayan, Maryam, Shehabeldine, Amr Mohamed Elsayed, Sheikh, Aziz, Sheikhi, Rahim Ali, Shenoy, Manjunath Mala, Shetty, Pavanchand H, Shi, Peilin, Shiferaw, Desalegn, Shigematsu, Mika, Shiri, Rahman, Shirkoohi, Reza, Shittu, Aminu, Shivarov, Velizar, Shokraneh, Farhad, Shool, Sina, Shorofi, Seyed Afshin, Shuja, Kanwar Hamza, Shuval, Kerem, Siddig, Emmanuel Edwar, Silva, João Pedro, Silva, Luís Manuel Lopes Rodrigues, Silva, Soraia, Simonetti, Biagio, Singal, Anjali, Singh, Abhinav, Singh, Balbir Bagicha, Singh, Jasvinder A, Siraj, Md Shahjahan, Smith, Georgia, Socea, Bogdan, Sokhan, Anton, Solanki, Ranjan, Solanki, Shipra, Soleimani, Hamidreza, Soliman, Sameh S M, Solomon, Yonatan, Song, Yimeng, Sorensen, Reed J D, Spartalis, Michael, Sreeramareddy, Chandrashekhar T, Srivastava, Vijay Kumar, Stanikzai, Muhammad Haroon, Starodubov, Vladimir I, Starodubova, Antonina V, Stefan, Simona Cătălina, Steiropoulos, Paschalis, Stokes, Mark A, Subramaniyan, Vetriselvan, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sultana, Abida, Sun, Jing, Swain, Chandan Kumar, Sykes, Bryan L, Szarpak, Lukasz, Szeto, Mindy D, Szócska, Miklós, Tabaee Damavandi, Payam, Tabarés-Seisdedos, Rafael, Tabatabaei Malazy, Ozra, Tabatabaeizadeh, Seyed-Amir, Tabatabai, Shima, Tabb, Karen M, Tabish, Mohammad, Taheri Soodejani, Moslem, Taiba, Jabeen, Tajbakhsh, Ardeshir, Talaat, Iman M, Talukder, Ashis, Tampa, Mircea, Tamuzi, Jacques Lukenze, Tan, Ker-Kan, Tang, Haosu, Tareke, Derbie Alemu DA, Tariku, Mengistie Kassahun, Tat, Vivian Y, Tavangar, Seyed Mohammad, Teimoori, Mojtaba, Temsah, Mohamad-Hani, Temsah, Reem Mohamad Hani, Teramoto, Masayuki, Terefa, Dufera Rikitu, Tesler, Riki, Teye-Kwadjo, Enoch, Thakur, Ramna, Thangaraju, Pugazhenthan, Thankappan, Kavumpurathu Raman, Thapar, Rekha, Tharwat, Samar, Thayakaran, Rasiah, Thomas, Nihal, Tichopad, Ales, Ticoalu, Jansje Henny Vera, Tiruye, Tenaw Yimer, Titova, Mariya Vladimirovna, Tonelli, Marcello, Tovani-Palone, Marcos Roberto, Traini, Eugenio, Tran, Jasmine T, Tran, Nghia Minh, Trihandini, Indang, Tromans, Samuel Joseph, Truyen, Thien Tan Tri Tai, Tsatsakis, Aristidis, Tsermpini, Evangelia Eirini, Tumurkhuu, Munkhtuya, Tyrovolas, Stefanos, Uddin, Sayed Mohammad Nazim, Udoakang, Aniefiok John, Udoh, Arit, Ullah, Atta, Ullah, Saeed, Ullah, Sana, Umakanthan, Srikanth, Umeokonkwo, Chukwuma David, Unim, Brigid, Unnikrishnan, Bhaskaran, Upadhyay, Era, Usman, Jibrin Sammani, Vacante, Marco, Vahabi, Seyed Mohammad, Vaithinathan, Asokan Govindaraj, Valizadeh, Rohollah, Van den Eynde, Jef, Varavikova, Elena, Varga, Orsolya, Vart, Priya, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Vellingiri, Balachandar, Venugopal, Deneshkumar, Verghese, Nicholas Alexander, Verma, Madhur, Veroux, Massimiliano, Verras, Georgios-Ioannis, Vervoort, Dominique, Villafañe, Jorge Hugo, Vinayak, Manish, Violante, Francesco S, Vishwakarma, Mukesh, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vo, Bay, Volovat, Simona Ruxandra, Vos, Theo, Vujcic, Isidora S, Wafa, Hatem A, Waheed, Yasir, Wakwoya, Elias Bekele, Wang, Cong, Wang, Denny, Wang, Fang, Wang, Shu, Wang, Yanzhong, Wang, Yuan-Pang, Ward, Paul, Wassie, Emebet Gashaw, Watson, Stefanie, Weaver, Marcia R, Weerakoon, Kosala Gayan, Weiss, Daniel J, Wells, Katherine M, Wen, Yi Feng, Westerman, Ronny, Wiangkham, Taweewat, Wickramasinghe, Dakshitha Praneeth, Wickramasinghe, Nuwan Darshana, Willeit, Peter, Wondimagegene, Yohannes Addisu, Wu, Felicia, Xia, Juan, Xiao, Hong, Xu, Gelin, Xu, Suowen, Xu, Xiaoyue, Yadollahpour, Ali, Yaghoobpoor, Shirin, Yaghoobpour, Tina, Yaghoubi, Sajad, Yahaya, Zwanden Sule, Yang, Danting, Yang, Lin, Yano, Yuichiro, Yaribeygi, Habib, Ye, Pengpeng, Yesodharan, Renjulal, Yesuf, Subah Abderehim, Yezli, Saber, Yigezu, Amanuel, Yip, Paul, Yon, Dong Keon, Yonemoto, Naohiro, You, Yuyi, Younis, Mustafa Z, Yousefi, Zabihollah, Yu, Chuanhua, Yu, Yong, Yuan, Chun-Wei, Zafari, Nima, Zakham, Fathiah, Zaki, Nazar, Zamagni, Giulia, Zandi, Milad, Zandieh, Ghazal G Z, Zangiabadian, Moein, Zastrozhin, Mikhail Sergeevich, Zhang, Haijun, Zhang, Meixin, Zhang, Yunquan, Zhong, Chenwen, Zhou, Juexiao, Zhu, Bin, Zhu, Lei, Zielińska, Magdalena, Zou, Zhiyong, Zyoud, Samer H, Murray, Christopher J L, Smith, Amanda E, and Vollset, Stein Emil
Published: 2024
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18. Hippocampal subfield volumes predict treatment response to oral ketamine in people with suicidality

Author: Dutton, Megan, Boyes, Amanda, Can, Adem T., Mohamed, Abdalla Z., Hajishafiee, Maryam, Shan, Zack Y., Lagopoulos, Jim, and Hermens, Daniel F.
Published: 2024
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19. An end-end deep learning framework for lesion segmentation on multi-contrast MR images - an exploratory study in a rat model of traumatic brain injury.

Author: K. N. Bhanu Prakash, C. S. Arvind, Abdalla Z. Mohamed, Krishna Kanth Chitta, Xuan Vinh To, Hussein Srour, and Fatima A. Nasrallah
Published: 2023
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20. Treatment response with ketamine in chronic suicidality: An open label functional connectivity study

Author: Can, Adem T., Hermens, Daniel F., Mohamed, Abdalla Z., Shan, Zack Y., Dutton, Megan, Gallay, Cyrana, Forsyth, Grace, Jamieson, Daniel, and Lagopoulos, Jim
Published: 2023
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21. Objective sleep measures in chronic fatigue syndrome patients: A systematic review and meta-analysis

Author: Mohamed, Abdalla Z., Andersen, Thu, Radovic, Sanja, Del Fante, Peter, Kwiatek, Richard, Calhoun, Vince, Bhuta, Sandeep, Hermens, Daniel F., Lagopoulos, Jim, and Shan, Zack
Published: 2023
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22. The effect of mindfulness training on resting-state networks in pre-adolescent children with sub-clinical anxiety related attention impairments

Author: Kennedy, Michelle, Mohamed, Abdalla Z., Schwenn, Paul, Beaudequin, Denise, Shan, Zack, Hermens, Daniel F., and Lagopoulos, Jim
Published: 2022
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23. Accelerated Aging after Traumatic Brain Injury: An ENIGMA Multi‐Cohort Mega‐Analysis

Author: Dennis, Emily L, primary, Vervoordt, Samantha, additional, Adamson, Maheen M, additional, Houshang, Amiri, additional, Bigler, Erin D, additional, Caeyenberghs, Karen, additional, Cole, James H, additional, Dams‐O'Connor, Kristen, additional, Deutscher, Evelyn M, additional, Dobryakova, Ekaterina, additional, Genova, Helen M, additional, Grafman, Jordan H, additional, Håberg, Asta K, additional, Hellstrøm, Torgeir, additional, Irimia, Andrei, additional, Koliatsos, Vassilis E, additional, Lindsey, Hannah M, additional, Livny, Abigail, additional, Menon, David K, additional, Merkley, Tricia L, additional, Mohamed, Abdalla Z, additional, Mondello, Stefania, additional, Monti, Martin M, additional, Newcombe, Virginia FJ, additional, Newsome, Mary R, additional, Ponsford, Jennie, additional, Rabinowitz, Amanda, additional, Smevik, Hanne, additional, Spitz, Gershon, additional, Venkatesan, Umesh M, additional, Westlye, Lars T, additional, Zafonte, Ross, additional, Thompson, Paul M, additional, Wilde, Elisabeth A, additional, Olsen, Alexander, additional, and Hillary, Frank G, additional
Published: 2024
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24. Linking Symptom Inventories using Semantic Textual Similarity.

Author: Eamonn Kennedy, Shashank Vadlamani, Hannah M. Lindsey, Kelly S. Peterson, Kristen Dams OConnor, Kenton Murray, Ronak Agarwal, Houshang H. Amiri, Raeda K. Andersen, Talin Babikian, David A Baron, Erin D. Bigler, Karen Caeyenberghs, Lisa Delano-Wood, Seth G. Disner, Ekaterina Dobryakova, Blessen C. Eapen, Rachel M. Edelstein, Carrie Esopenko, Helen M. Genova, Elbert Geuze, Naomi J. Goodrich-Hunsaker, Jordan Grafman, Asta K. Håberg, Cooper B. Hodges, Kristen R. Hoskinson, Elizabeth S. Hovenden, Andrei Irimia, Neda Jahanshad, Ruchira M. Jha, Finian Keleher, Kimbra Kenney, Inga Koerte, Spencer W. Liebel, Abigail Livny, Marianne Lovstad, Sarah L. Martindale, Jeffrey E. Max, Andrew R. Mayer, Timothy B. Meier, Deleene S. Menefee, Abdalla Z. Mohamed, Stefania Mondello, Martin M. Monti, Rajendra A. Morey, Virginia Newcombe, and et al.
Published: 2023
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25. A longitudinal study of functional connectome uniqueness and its association with psychological distress in adolescence

Author: Shan, Zack Y, Mohamed, Abdalla Z, Schwenn, Paul, McLoughlin, Larisa T, Boyes, Amanda, Sacks, Dashiell D, Driver, Christina, Calhoun, Vince D., Lagopoulos, Jim, and Hermens, Daniel F
Published: 2022
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26. Subacute cytokine changes after a traumatic brain injury predict chronic brain microstructural alterations on advanced diffusion imaging in the male rat

Author: Vinh To, Xuan, Mohamed, Abdalla Z., Cumming, Paul, and Nasrallah, Fatima A.
Published: 2022
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27. Traumatic brain injury fast-forwards Alzheimer’s pathology: evidence from amyloid positron emission tomorgraphy imaging

Author: Mohamed, Abdalla Z., Nestor, Peter J., Cumming, Paul, and Nasrallah, Fatima A.
Published: 2022
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28. White Matter Alterations Are Associated With Cognitive Dysfunction Decades After Moderate-to-Severe Traumatic Brain Injury and/or Posttraumatic Stress Disorder

Author: Mohamed, Abdalla Z., Cumming, Paul, and Nasrallah, Fatima A.
Published: 2021
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29. Diffusion tensor imaging and plasma immunological biomarker panel in a rat traumatic brain injury (TBI) model and in human clinical TBI

Author: To, Xuan Vinh, primary, Mohamed, Abdalla Z., additional, Cumming, Paul, additional, and Nasrallah, Fatima A., additional
Published: 2024
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30. Comparative morphosedimentary framework of small subtropical islands offshore Kuwait

Author: Buynevich, Ilya V., FitzGerald, Duncan M., Al-Zamel, Abdalla Z., and Al-Sarawi, Mohammad A.
Published: 2020
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31. White-matter changes associated with a synergetic treatment for myalgic encephalomyelitis/chronic fatigue syndrome.

Author: Mohamed, Abdalla Z., do Campo, Jorge, Del Fante, Peter, Kwiatek, Richard, Calhoun, Vince D., and Shan, Zack Y.
Subjects: *CHRONIC fatigue syndrome, *DIFFUSION magnetic resonance imaging, *DIFFUSION tensor imaging, *RANDOMIZED controlled trials
Abstract: ObjectivesMethodsResultsConclusionMyalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex and debilitating chronic illness for which there are no well-accepted treatments, aside from some preliminary trials and symptom management strategies, such as low-dose naltrexone and NICE guidelines. A clinician administered a synergistic off-label treatment (SOT) involving spironolactone, colchicine, low-dose naltrexone, and multivitamins to ME/CFS patients, resulting in reported symptom improvement. This study sought to investigate neuroimaging characteristics linked with the treatment.A group of treatment-naive patients (N = 8, control) was selected to age – and sex-match eight patients who had received the treatment (SOT). Diffusion-weighted imaging data and clinical measures from the two groups were compared.Compared to the control group, the SOT group showed reduced depression (Bonferroni corrected P value (PBonf) = .04) and mental deficit symptoms (PBonf = .02). Furthermore, the SOT group at post-treatment showed significantly reduced clinical scores (PBonf < .001) than at the pre-treatment baseline. We also observed higher fractional anisotropy and lower diffusivity measures in various white-matter tracts of the SOT group compared to the control group (Family-wise-error-corrected P value (PFWE) ≤ .05).These findings provide a first line of evidence for the potential effectiveness of SOT treatment in ME/CFS patients, as indicated by microstructural changes in the brain associated with improved clinical symptoms. Formal randomized controlled trials are required to determine the efficacy of SOT components in treating ME/CFS. [ABSTRACT FROM AUTHOR]
Published: 2024
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32. The influence of helium-induced defects on the migration of strontium implanted into SiC above critical amorphization temperature

Author: Mokgadi, T. F., primary, Abdalla, Z. A. Y., additional, Madhuku, M., additional, Njoroge, E. G., additional, Mlambo, M., additional, Mdluli, P., additional, Sohatsky, A., additional, Skuratov, V. A., additional, Malherbe, J. B., additional, and Hlatshwayo, T. T., additional
Published: 2023
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33. Hippocampal subfield volumes predict treatment response to oral ketamine in people with suicidality

Author: Dutton, Megan, primary, Boyes, Amanda, additional, Can, Adem T., additional, Mohamed, Abdalla Z., additional, Hajishafiee, Maryam, additional, Shan, Zack Y., additional, Lagopoulos, Jim, additional, and Hermens, Daniel F., additional
Published: 2023
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34. Accelerated Aging after Traumatic Brain Injury: an ENIGMA Multi-Cohort Mega-Analysis

Author: Dennis, Emily L, primary, Vervoordt, Samantha, additional, Adamson, Maheen M, additional, Amiri, Houshang, additional, Bigler, Erin, additional, Caeyenberghs, Karen, additional, Cole, James H, additional, Dams-O'Connor, Kristen, additional, Deutscher, Evelyn M, additional, Dobryakova, Ekaterina, additional, Genova, Helen M, additional, Grafman, Jordan H, additional, Haberg, Asta K, additional, Hellstrom, Torgeir, additional, Irimia, Andrei, additional, Koliatsos, Vassilis E, additional, Lindsey, Hannah M, additional, Livny, Abigail, additional, Menon, David K, additional, Merkley, Tricia L, additional, Mohamed, Abdalla Z, additional, Mondello, Stefania, additional, Monti, Martin M, additional, Newcombe, Virginia FJ, additional, Newsome, Mary R, additional, Ponsford, Jennie, additional, Smevik, Hanne, additional, Spitz, Gershon, additional, Westlye, Lars T, additional, Zafonte, Ross, additional, Thompson, Paul M, additional, Wilde, Elisabeth A, additional, Olsen, Alexander, additional, and Hillary, Frank G, additional
Published: 2023
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35. Traumatic brain injury augurs ill for prolonged deficits in the brain’s structural and functional integrity following controlled cortical impact injury

Author: Mohamed, Abdalla Z., Cumming, Paul, and Nasrallah, Fatima A.
Published: 2021
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36. A binge high sucrose diet provokes systemic and cerebral inflammation in rats without inducing obesity

Author: Patkar, Omkar L., Mohamed, Abdalla Z., Narayanan, Ashwin, Mardon, Karine, Cowin, Gary, Bhalla, Rajiv, Stimson, Damion H. R., Kassiou, Michael, Beecher, Kate, Belmer, Arnauld, Alvarez Cooper, Ignatius, Morgan, Michael, Hume, David A., Irvine, Katharine M., Bartlett, Selena E., Nasrallah, Fatima, and Cumming, Paul
Published: 2021
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37. Functional connectivity of brain associated with passive range of motion exercise: Proprioceptive input promoting motor activation?

Author: Nasrallah, Fatima A., Mohamed, Abdalla Z., Campbell, Megan EJ., Yap, Hong Kai, Yeow, Chen-Hua, and Lim, Jeong Hoon
Published: 2019
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38. Treatment response with ketamine in chronic suicidality: An open label functional connectivity study

Author: Adem T. Can, Daniel F. Hermens, Abdalla Z. Mohamed, Zack Y. Shan, Megan Dutton, Cyrana Gallay, Grace Forsyth, Daniel Jamieson, and Jim Lagopoulos
Subjects: Psychiatry and Mental health, Clinical Psychology
Published: 2023

39. Self-reported Fatigue was Associated with Increased White-matter Alterations in Long-term Traumatic Brain Injury and Posttraumatic Stress Disorder Patients

Author: Abdalla Z Mohamed, Jim Lagopoulos, Fatima A. Nasrallah, and Zack Shan
Subjects: General Neuroscience
Published: 2023

40. Response to Commentary on Mohamed et al. 2023: Inter- and intra-sleep variability deserve further attention in myalgic encephalomyelitis/chronic fatigue syndrome

Author: Mohamed, Abdalla Z., primary and Shan, Zack Y., additional
Published: 2023
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41. Tauopathy in veterans with long-term posttraumatic stress disorder and traumatic brain injury

Author: Mohamed, Abdalla Z., Cumming, Paul, Götz, Jürgen, Nasrallah, Fatima, and for the Department of Defense Alzheimer’s Disease Neuroimaging Initiative
Published: 2019
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42. Male Gender Is Independently Associated With Poor Outcomes in COVID-19 Hospitalizations: A National Inpatient Sample Study

Author: Abdalla, Z., primary, Abdelhay, A., additional, Boppana, H.K., additional, Elkhapery, A., additional, Hashem, A., additional, and Dalbah, R., additional
Published: 2023
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43. Racial Disparities, Comorbidities, and Hospital Outcomes Among Alcohol Withdrawal Patients: A Nationwide Retrospective Study From 2015-2020

Author: Elkhapery, A., primary, Faisaluddin, M., additional, Patel, J., additional, Faizan, U., additional, Muhammad, O., additional, Abdalla, Z., additional, Ahmed, A.I.Z., additional, and Hashem, A., additional
Published: 2023
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44. Endobronchial Ultrasound Transbronchial Needle Aspiration With Vs Without Rapid On-site Evaluation in Diagnosing Mediastinal and Pulmonary Lesions: A Systematic Review and Metanalysis

Author: Elkhapery, A., primary, Iyer, C., additional, Vallabhajosyula, S., additional, Abdalla, Z., additional, Boppana, H.K., additional, and Bhaskar, J., additional
Published: 2023
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45. Higher BMI Is Strongly Linked to Poor Outcomes in COVID-19 Hospitalizations: A National Inpatient Sample Study

Author: Elkhapery, A., primary, Abdelhay, A., additional, Boppana, H.K., additional, Abdalla, Z., additional, Mohamed, M., additional, Hashem, A., additional, Dalbah, R., additional, and Chow, M.-Y., additional
Published: 2023
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46. Self-reported fatigue was associated with increased white-matter alterations in long-term traumatic brain injury and posttraumatic stress disorder patients

Author: Mohamed, Abdalla Z, primary, Lagopoulos, Jim, additional, Nasrallah, Fatima A., additional, and Shan, Zack, additional
Published: 2023
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47. Functional connectivity of brain associated with passive range of motion exercise: Proprioceptive input promoting motor activation?

Author: Fatima A. Nasrallah, Abdalla Z. Mohamed, Megan Campbell, Hong Kai Yap, Chen-Hua Yeow, and Jeong Hoon Lim
Published: 2019
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48. The effect of mindfulness training on resting-state networks in pre-adolescent children with sub-clinical anxiety related attention impairments

Author: Michelle Kennedy, Abdalla Z. Mohamed, Paul Schwenn, Denise Beaudequin, Zack Shan, Daniel F. Hermens, and Jim Lagopoulos
Subjects: Brain Mapping, Adolescent, Cognitive Neuroscience, Brain, Anxiety, Magnetic Resonance Imaging, Behavioral Neuroscience, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Neurology, Humans, Radiology, Nuclear Medicine and imaging, Neurology (clinical), Child, Mindfulness
Abstract: Background: Mindfulness training has been associated with improved attention and affect regulation in preadolescent children with anxiety related attention impairments, however little is known about the underlying neurobiology. This study sought to investigate the impact of mindfulness training on functional connectivity of attention and limbic brain networks in pre-adolescents.Methods: A total of 47 children (aged 9-11 years) participated in a 10-week mindfulness intervention. Anxiety and attention measures and resting-state fMRI were completed at pre- and post-intervention. Sustained attention was measured using the Conners Continuous Performance Test, while the anxiety levels were measured using the Spence Children’s Anxiety Scale. Functional networks were estimated using independent-component analysis, and voxel-based analysis was used to determine the difference between the time-points to identify the effect of the intervention on the functional connectivity. Results: There was a significant decrease in anxiety symptoms and improvement in attention scores following the intervention. From a network perspective, the results showed increased functional connectivity post intervention in the salience and fronto-parietal networks as well as the medial-inferior temporal component of the default mode network. Positive correlations were identified in the fronto-parietal network with Hit Response Time and the Spence Children’s Anxiety Scale total and between the default mode network and Hit Response Time.Conclusions: A 10-week mindfulness intervention in children was associated with a reduction in anxiety related attention impairments, which were underpinned by concomitant changes in functional connectivity.
Published: 2022

49. Subacute cytokine changes after a traumatic brain injury predict chronic brain microstructural alterations on advanced diffusion imaging in the male rat

Author: Xuan Vinh To, Abdalla Z. Mohamed, Paul Cumming, and Fatima A. Nasrallah
Subjects: Male, Endocrine and Autonomic Systems, Interleukin-7, Immunology, Brain, Granulocyte-Macrophage Colony-Stimulating Factor, Rats, Rats, Sprague-Dawley, Behavioral Neuroscience, Brain Injuries, Traumatic, Animals, Cytokines, Humans, 610 Medicine & health, Biomarkers
Abstract: INTRODUCTION The process of neuroinflammation occurring after traumatic brain injury (TBI) has received significant attention as a potential prognostic indicator and interventional target to improve patients' outcomes. Indeed, many of the secondary consequences of TBI have been attributed to neuroinflammation and peripheral inflammatory changes. However, inflammatory biomarkers in blood have not yet emerged as a clinical tool for diagnosis of TBI and predicting outcome. The controlled cortical impact model of TBI in the rodent gives reliable readouts of the dynamics of post-TBI neuroinflammation. We now extend this model to include a panel of plasma cytokine biomarkers measured at different time points post-injury, to test the hypothesis that these markers can predict brain microstructural outcome as quantified by advanced diffusion-weighted magnetic resonance imaging (MRI). METHODS Fourteen 8-10-week-old male rats were randomly assigned to sham surgery (n��=��6) and TBI (n��=��8) treatment with a single moderate-severe controlled cortical impact. We collected blood samples for cytokine analysis at days 1, 3, 7, and 60 post-surgery, and carried out standard structural and advanced diffusion-weighted MRI at day 60. We then utilized principal component regression to build an equation predicting different aspects of microstructural changes from the plasma inflammatory marker concentrations measured at different time points. RESULTS The TBI group had elevated plasma levels of IL-1 �� and several neuroprotective cytokines and chemokines (IL-7, CCL3, and GM-CSF) compared to the sham group from days 3 to 60 post-injury. The plasma marker panels obtained at day 7 were significantly associated with the outcome at day 60 of the trans-hemispheric cortical map transfer process that is a frequent finding in unilateral TBI models. DISCUSSION These results confirm and extend prior studies showing that day 7 post-injury is a critical temporal window for the reorganisation process following TBI. High plasma level of IL-1 �� and low plasma levels of the neuroprotective IL-7, CCL3, and GM-CSF of TBI animals at day 60 were associated with greater TBI pathology.
Published: 2022

50. Association of sub-acute changes in plasma amino acid levels with long-term brain pathologies in a rat model of moderate-severe traumatic brain injury

Author: To, Xuan Vinh, primary, Mohamed, Abdalla Z., additional, Cumming, Paul, additional, and Nasrallah, Fatima A., additional
Published: 2023
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