A5003506199- Dementia and Cognitive Impairment Research
- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Alzheimer's disease research and treatments
- Eating Disorders and Behaviors
- Obsessive-Compulsive Spectrum Disorders
- Advanced MRI Techniques and Applications
- Brain Tumor Detection and Classification
- Autism Spectrum Disorder Research
- Health, Environment, Cognitive Aging
- Genetic Neurodegenerative Diseases
- Parkinson's Disease Mechanisms and Treatments
- Amyotrophic Lateral Sclerosis Research
- Neurological Disease Mechanisms and Treatments
- Traumatic Brain Injury Research
- Stress Responses and Cortisol
- Sport Psychology and Performance
- Aging, Health, and Disability
- Bipolar Disorder and Treatment
- Memory and Neural Mechanisms
- Impact of Technology on Adolescents
- Child Nutrition and Feeding Issues
- Craniofacial Disorders and Treatments
- Frailty in Older Adults
- Hormonal and reproductive studies
Northwestern University
2019-2025
University of Illinois Chicago
2025
Icahn School of Medicine at Mount Sinai
2018
Neuroimaging-based brain-age estimation via machine learning has emerged as an important new approach for studying brain aging. The difference between one's estimated age and chronological age, the gap (BAG), been proposed Alzheimer's Disease (AD) biomarker. However, most past studies on BAG have cross-sectional. Quantifying longitudinal changes in individual's temporal pattern would likely improve prediction of AD progression clinical outcome based neurophysiological changes. To fill this...
Objective Individuals unable to complete neuropsychological tests within designated time limits (i.e. discontinue) are often excluded from statistical analysis. However, discontinuation may represent a meaningful clinical consideration. The present study investigated the utility of on Trail Making Test Part B (TMT-B) as an indicator cognitive functioning.
• We explored postmortem TDP-43 burden and antemortem hippocampal surface deformation. was uniquely associated with inward deformation in the hippocampus. Deformation patterns account for co-existing disease showing TDP-43's unique effect. significantly correlated cognition scores.
TAR DNA-binding protein 43 (TDP-43) is a highly prevalent proteinopathy that involved in neurodegenerative processes, including axonal damage. To date, no ante mortem biomarkers exist for TDP-43, and few studies have directly assessed its impact on neuroimaging measures utilizing pathologic quantification.
Abstract Disinhibition is one of the most distressing and difficult to treat neuropsychiatric symptoms dementia. It involves socially inappropriate behaviours, such as hypersexual comments, approaching strangers excessive jocularity. occurs in multiple dementia syndromes, including behavioural variant frontotemporal dementia, Alzheimer’s type. Morphometric similarity networks are a relatively new method for examining brain structure can be used calculate measures network integrity on large...
Abstract Objective This study examined children at the onset of tic disorder (tics for less than 9 months: NT group), a population on which little research exists. Here, we investigate relationships between baseline shape and volume subcortical nuclei, diagnosis, symptom outcomes. Methods 187 were assessed 12-month follow-up: 88 with NT, 60 tic-free healthy controls (HC), 39 chronic disorder/Tourette syndrome (TS), using T1-weighted MRI total scores (TTS) from Yale Global Tic Severity Scale...
Synthetic androgens (i.e., anabolic-androgenic steroids) are the primary component to majority of problematic appearance and performance enhancing drug (APED) use. Despite evidence that these substances associated with increased risk for aggression, violence, body image disturbances, polypharmacy can develop a pattern chronic use consistent dependence, there no formal definitions androgen intoxication. Consequently, purpose this paper is establish testable theory We present theorize...
Abstract Background Concordance between cortical atrophy and glucose hypometabolism within distributed brain networks was evaluated among cerebrospinal fluid (CSF) biomarker‐defined amyloid/tau/neurodegeneration (A/T/N) groups. Method We computed correlations thickness fluorodeoxyglucose metabolism 12 functional networks. Differences A/T/N groups (biomarker normal [BN], Alzheimer's disease [AD] continuum, suspected non‐AD pathologic change [SNAP]) in network concordance relationships to...
Abstract Objective Individuals with eating disorders are theorized to have basic impairments in affective appraisal and social–emotional processing that contribute pathogenesis of the disease. We aimed determine if facial electromyography could be used discriminate between happy disgust emotions during simultaneous acquisition an fMRI BOLD sequence efforts establish a novel tool for investigating emotion‐driven hypotheses about pathology. In line standards rigor reproducibility, we provide...
We report on the ongoing project âPREDICT-ADFTD: Multimodal Imaging Prediction of AD/FTD and Differential Diagnosisâ describing completed future work supported by this grant. This is a multi-site, multi-study collaboration effort with research spanning seven sites across US Canada. The overall goal to study neurodegeneration within Alzheimerâs Disease, Frontotemporal Dementia, related neurodegenerative disorders, using variety brain imaging computational techniques develop methods for...
Abstract Dementia of Alzheimer’s Type (DAT) is associated with a devastating and irreversible cognitive decline. As pharmacological intervention has not yet been developed to reverse disease progression, preventive medicine will play crucial role for patient care treatment planning. However, predicting which patients progress DAT difficult as Mild Cognitive Impairment (MCI) could either convert (MCI-C) or (MCI-NC). In this paper, we develop deep learning model address the heterogeneous...
Abstract Background TAR DNA‐binding protein 43 (TDP‐43), has been shown to be involved in various neurodegenerative disorders involving axonal damage including ALS, FTLD, and LATE. Studying the relationships between postmortem TDP‐43 antemortem white matter (WM) structural integrity can allow for a better understanding of disease, rather than exploring clinical presentations alone. Method In‐vivo diffusion‐weighted images were gathered on 1.5T scanner from subjects Religious Orders Study...
Abstract Background TAR DNA‐binding protein 43 (TDP‐43), has been shown to be involved in various neurodegenerative disorders involving axonal damage including ALS, FTLD, and LATE. Studying the relationships between postmortem TDP‐43 antemortem white matter (WM) structural integrity can allow for a better understanding of underlying neural mechanisms disease. Measures assume fiber bundles maintain similar characteristics along length tract, however, advanced computational research identified...
Predicting conversion to Alzheimer's Dementia (AD) among Mild Cognitive Impairment (MCI) patients is invaluable for patient care, as well in selection clinical trials. This project utilized data from the Disease Neuroimaging Initiative (ADNI) develop end-to-end 3D-Convolutional Neural Network (3D-CNN) models classify subjects who did not progress AD (i.e., stable MCI or sMCI) vs. progressive pMCI). 470 sMCI and 293 pMCI patients’ skull-stripped baseline structural MRI (sMRI) scans were...
Identifying ante-mortem biomarkers for progression from Mild Cognitive Impairment (MCI) to Dementia of the Alzheimer's type (DAT) is crucial distinguish areas particularly sensitive neurodegeneration caused by AD, in addition potentially providing a strong diagnostic tool at early disease stages. In order determine anatomical regions predictive conversion DAT, researchers applied multi-state Markov transition models and multilevel using metabolism FDG-PET imaging 223 progressive MCI subjects...
Background: The A/T/N framework allows for the assessment of pathology-specific markers MRI-derived structural atrophy and hypometabolism on 18FDG-PET. However, how these measures relate to each other locally distantly across pathology-defined groups is currently unclear. Objective: To determine regions association between in both within time points. Methods: We examined multivariate multimodal neuroimaging relationships MRI 18FDG-PET among suspected non-Alzheimer’s disease pathology (SNAP)...
Abstract Background Frontotemporal lobar degeneration (FTLD) due to familial mutations results in heterogenous clinical phenotypes for which there are no specific biomarkers. Here, we test whether subcortical deformation differs FTLD genetic mutation carriers, and if was uniquely related cortical thickness. Method 317 participants from ALLFTD with (C9orf72 (n = 139), GRN 77), MAPT 101)) 27 controls without (NCC) were evaluated. MRI data underwent FreeSurfer processing estimate thickness...
Abstract Background TAR DNA‐binding protein 43 (TDP‐43), has been shown to be involved in various neurodegenerative disorders involving axonal damage including ALS, FTLD, and LATE. Studying the relationships between postmortem TDP‐43 antemortem white matter (WM) structural integrity can allow for a better understanding of disease, rather than exploring clinical presentations alone. Methods In‐vivo diffusion‐weighted images were gathered on 1.5T scanner from subjects Religious Orders Study...
Abstract Background Frontotemporal lobar degeneration (FTLD) due to familial mutations results in heterogenous clinical phenotypes for which there are no specific biomarkers. Here, we test whether subcortical deformation differs FTLD genetic mutation carriers, and if was uniquely related cortical thickness. Method 317 participants from ALLFTD with (C9orf72 (n = 139), GRN 77), MAPT 101)) 27 controls without (NCC) were evaluated. MRI data underwent FreeSurfer processing estimate thickness...
Abstract Background Alzheimer's dementia (AD) is the most common form of in adults over age 65, however, current diagnostic tools need to be improved. The relationships between clinical syndromes and pathological causes are complex, which makes accurate diagnosis difficult. goals develop an vivo hippocampal surface atlas from structural MRI that predictive postmortem β‐amyloid, paired helical filament (PHF‐tau) neurofibrillary tangles (NFTs) transactive response DNA‐binding protein‐43...
Abstract Background Predicting the conversion from Mild Cognitive Impairment (MCI) into Dementia of Alzheimer’s type (DAT) and functional change is crucial to patient care treatment. In order visualize brain regions which are significant in prediction, we implemented an occlusion map based on deep learning. Method Using T1‐weighted structural MRI data ADNI, 3D convolutional neural network was trained predict MCI DAT through a transfer learning pipeline. The model resulted 82.4%...
ABSTRACT Neuroimaging-based brain-age estimation via machine learning has emerged as an important new approach for studying brain aging. The difference between one’s estimated age and chronological age, the gap (BAG), been proposed Alzheimer’s Disease (AD) biomarker. However, most past studies on BAG have cross-sectional. Identifying how individual’s temporal pattern changes over time would enable improved prediction of clinical outcome based neurophysiological better understanding AD...