A5038043783- Dementia and Cognitive Impairment Research
- Alzheimer's disease research and treatments
- Advanced Neuroimaging Techniques and Applications
- Mental Health Research Topics
- Machine Learning in Healthcare
- Generative Adversarial Networks and Image Synthesis
- Cardiac Arrest and Resuscitation
- Epigenetics and DNA Methylation
- Advanced MRI Techniques and Applications
- Technology and Human Factors in Education and Health
- Traumatic Brain Injury and Neurovascular Disturbances
- Cell Image Analysis Techniques
- Bioinformatics and Genomic Networks
- Functional Brain Connectivity Studies
- Tryptophan and brain disorders
- Diet and metabolism studies
- NMR spectroscopy and applications
- Nutritional Studies and Diet
- Neurogenesis and neuroplasticity mechanisms
- Gene expression and cancer classification
- Stroke Rehabilitation and Recovery
- Mental Health and Psychiatry
- Balance, Gait, and Falls Prevention
- Genetic Associations and Epidemiology
- Traumatic Brain Injury Research
University of Pennsylvania
2020-2025
Brigham and Women's Hospital
2018-2022
Harvard University
2018
Abstract Heterogeneity of brain diseases is a challenge for precision diagnosis/prognosis. We describe and validate Smile-GAN (SeMI-supervised cLustEring-Generative Adversarial Network), semi-supervised deep-clustering method, which examines neuroanatomical heterogeneity contrasted against normal structure, to identify disease subtypes through neuroimaging signatures. When applied regional volumes derived from T1-weighted MRI (two studies; 2,832 participants; 8,146 scans) including...
Abstract INTRODUCTION The generalizability of neuroimaging and cognitive biomarkers in their sensitivity to detect preclinical Alzheimer's disease (AD) power predict progression large, multisite cohorts remains unclear. METHOD Longitudinal demographics, T1‐weighted magnetic resonance imaging (MRI), scores 3036 cognitively unimpaired (CU) older adults (amyloid beta [Aβ]‐negative/positive [A–/A+]: 1270/1558) were included. Cross‐sectional longitudinal cognition medial temporal lobe (MTL)...
ABSTRACT BACKGROUND AND PURPOSE Tai Chi is a mind‐body exercise that has been shown to improve both mental and physical health. As result, recent literature suggests the use of treat psychological disorders. However, underlying physiological changes have not characterized. The aim this pilot study assess in brain metabolites muscle energetics after training an aging population using combined brain‐muscle magnetic resonance spectroscopy (MRS) examination. METHODS Six healthy older adults were...
Abstract We aimed to evaluate the value of ATN biomarker classification system (amyloid beta [A], pathologic tau [T], and neurodegeneration [N]) for predicting conversion from mild cognitive impairment (MCI) dementia. In a sample people with MCI (n = 415) we assessed predictive performance using empirical knowledge‐based cut‐offs each component compared it two data‐driven approaches, logistic regression RUSBoost machine learning classifiers, which used continuous clinical or scores....
<h3>Background and Objectives</h3> To correlate brain metabolites with clinical outcome using magnetic resonance spectroscopy (MRS) in patients undergoing targeted temperature management (TTM) after cardiac arrest assess their relationships to MRI EEG variables. <h3>Methods</h3> A prospective cohort of 50 was studied. The primary coma recovery follow commands. Comparison MRS measures the posterior cingulate gyrus, parietal white matter, basal ganglia, brainstem were also made 25 normative...
Purpose MR spectroscopy of dynamic systems is limited by low signal to noise. Denoising along a series acquired spectra exploits their temporal correlation improve the quality individual spectra, and reduce errors in fitting metabolite peaks. In this study we compare performance several denoising methods. Methods Six different methods were considered: SIFT (Spectral Improvement Fourier Thresholding), HSVD (Hankel Singular Value Decomposition), spline, wavelet, sliding window Gaussian....
Primary age-related tauopathy (PART) and Alzheimer's disease (AD) share hippocampal phospho-tau (p-tau) pathology but differ in p-tau extent amyloid presence. As a result, PART uniquely enables investigation of amyloid-independent mechanisms during brain aging. We conducted the first epigenome-wide association (EWAS) study PART, which yielded 13 new robust p-tau/methylation associations. then jointly analyzed AD epigenomes to develop "TauAge", novel epigenetic clocks that predict severity...
Abstract Background Tau pathology and neurodegeneration in the medial temporal lobe (MTL) are highly associated Alzheimer’s Disease (AD). However, spatial pattern of neurodegeneration, contribution individual tau inclusion types, influence MTL co‐pathologies (i.e., TDP‐43) remain poorly understood. Traditional semi‐quantitative ratings or staging schemes capture limited variability severity provide no differentiation between types tangles, threads). We correlate quantitative measures from...
Abstract Background Atypical presentations of Alzheimer’s disease (AD), which demonstrate more cortical involvement relative to medial temporal lobe (MTL), are generally associated with younger age onset. Age, defined chronologically, is a primary driver AD pathology and neurodegeneration. However, some young onset cases typical, amnestic older present atrophy. We hypothesize that biological definition age, using epigenetic clock measures, may be even tightly linked atypicality than...
Abstract Background The medial temporal lobe's (MTL) early involvement in tau pathology makes it a key focus the development of preclinical Alzheimer’s disease (AD) biomarkers. ROI analyses prior studies reported significant MTL structural differences cognitively normal individuals with and without β‐amyloid (A+/‐CN). Pointwise analysis, offering spatial information neurodegeneration, has potential to pinpoint “signature regions” pathological change, but been underexplored MTL. This study...
Abstract Background Atypical presentations of Alzheimer’s disease (AD), which demonstrate more cortical involvement relative to medial temporal lobe (MTL), are generally associated with younger age onset. Age, defined chronologically, is a primary driver AD pathology and neurodegeneration. However, some young onset cases typical, amnestic older present atrophy. We hypothesize that biological definition age, using epigenetic clock measures, may be even tightly linked atypicality than...
Abstract Background The medial temporal lobe's (MTL) early involvement in tau pathology makes it a key focus the development of preclinical Alzheimer’s disease (AD) biomarkers. ROI analyses prior studies reported significant MTL structural differences cognitively normal individuals with and without ß‐amyloid (A+/‐CN). Pointwise analysis, offering spatial information neurodegeneration, has potential to pinpoint “signature regions” pathological change, but been underexplored MTL. This study...
Abstract Background Tau pathology and neurodegeneration in the medial temporal lobe (MTL) are highly associated Alzheimer’s Disease (AD). However, spatial pattern of neurodegeneration, contribution individual tau inclusion types, influence MTL co‐pathologies (i.e., TDP‐43) remain poorly understood. Traditional semi‐quantitative ratings or staging schemes capture limited variability severity provide no differentiation between types tangles, threads). We correlate quantitative measures from...
Abstract Background The NIA‐AA Research Framework on Alzheimer’s disease (AD) represents an important advance in the biological characterization of AD spectrum. While this framework predicts progression, definitions amyloid, tau, and neurodegeneration positivity based cut‐scores may limit performance predictive models. Method 252 cognitively normal (CN), 424 amnestic mild cognitive impairment (aMCI) 128 participants were included study. aMCI at baseline classified using 2 different methods:...
Generative adversarial networks (GANs) are one powerful type of deep learning models that have been successfully utilized in numerous fields. They belong to a broader family called generative methods, which generate new data with probabilistic model by sample distribution from real examples. In the clinical context, GANs shown enhanced capabilities capturing spatially complex, nonlinear, and potentially subtle disease effects compared traditional methods. This review appraises existing...
Abstract Background Alzheimer’s Disease is a progressive neurodegenerative disorder that currently has no disease‐modifying treatment, partly due to inefficiencies in identifying and validating drug targets. Drugs with genetic support are more likely succeed pharmaceutical trials. Recent studies show vivo neuroimaging can capture changes brain pathology function before onset of cognitive symptoms, thereby serving as biomarkers for early diagnosis. Pharmaceutical intervention may be effective...
Abstract Objective We describe magnetic resonance spectroscopy (MRS) changes in comatose patients undergoing targeted temperature management (TTM) after cardiac arrest, and their relationships to relevant clinical, MRI, EEG variables. Methods A prospective cohort of 50 was studied. The primary outcome coma recovery follow commands. Comparison MRS measures the posterior cingulate gyrus, parietal white matter, basal ganglia, brainstem were also made 25 normative control subjects. Results...