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Full-Text Articles in Cell and Developmental Biology

Predicting Alzheimer’S Disease Progression Using Multi-Modal Deep Learning Approach, Garam Lee, Kwangsik Nho, Byungkon Kang, Kyung-Ah Sohn, Dokyoon Kim, Alzheimer's Disease Neuroimaging Initiative Feb 2019

Predicting Alzheimer’S Disease Progression Using Multi-Modal Deep Learning Approach, Garam Lee, Kwangsik Nho, Byungkon Kang, Kyung-Ah Sohn, Dokyoon Kim, Alzheimer's Disease Neuroimaging Initiative

Anatomy and Cell Biology Publications

Alzheimer’s disease (AD) is a progressive neurodegenerative condition marked by a decline in cognitive functions with no validated disease modifying treatment. It is critical for timely treatment to detect AD in its earlier stage before clinical manifestation. Mild cognitive impairment (MCI) is an intermediate stage between cognitively normal older adults and AD. To predict conversion from MCI to probable AD, we applied a deep learning approach, multimodal recurrent neural network. We developed an integrative framework that combines not only cross-sectional neuroimaging biomarkers at baseline but also longitudinal cerebrospinal fluid (CSF) and cognitive performance biomarkers obtained from the Alzheimer’s Disease Neuroimaging …


Multiparametric Mri Changes Persist Beyond Recovery In Concussed Adolescent Hockey Players, Kathryn Y. Manning Msc, Amy Achranz Bmsc, Robert Bartha Phd, Gregory A. Dekaban Phd, Christy Barreira Bsc, Arthur Brown Phd, Lisa Fischer Md, Kevin Asem Md, Timothy J. Doherty, Douglas D. Fraser Md Phd, Jeff Holmes Phd, Ravi S. Menon Nov 2017

Multiparametric Mri Changes Persist Beyond Recovery In Concussed Adolescent Hockey Players, Kathryn Y. Manning Msc, Amy Achranz Bmsc, Robert Bartha Phd, Gregory A. Dekaban Phd, Christy Barreira Bsc, Arthur Brown Phd, Lisa Fischer Md, Kevin Asem Md, Timothy J. Doherty, Douglas D. Fraser Md Phd, Jeff Holmes Phd, Ravi S. Menon

Anatomy and Cell Biology Publications

Objective: To determine whether multiparametric MRI data can provide insight into the acute and long-lasting neuronal sequelae after a concussion in adolescent athletes.

Methods: Players were recruited from Bantam hockey leagues in which body checking is first introduced (male, age 11–14 years). Clinical measures, diffusion metrics, resting-state network and region-to-region functional connectivity patterns, and magnetic resonance spectroscopy absolute metabolite concentrations were analyzed from an independent, age-matched control group of hockey players (n 5 26) and longitudinally in concussed athletes within 24 to 72 hours (n 5 17) and 3 months (n 5 14) after a diagnosed concussion.

Results: …


Molecular Imaging To Target Transplanted Muscle Progenitor Cells, Kelly Gutpell, Rebecca Mcgirr, Lisa Hoffman Mar 2013

Molecular Imaging To Target Transplanted Muscle Progenitor Cells, Kelly Gutpell, Rebecca Mcgirr, Lisa Hoffman

Anatomy and Cell Biology Publications

Duchenne muscular dystrophy (DMD) is a severe genetic neuromuscular disorder that affects 1 in 3,500 boys, and is characterized by progressive muscle degeneration(1, 2). In patients, the ability of resident muscle satellite cells (SCs) to regenerate damaged myofibers becomes increasingly inefficient(4). Therefore, transplantation of muscle progenitor cells (MPCs)/myoblasts from healthy subjects is a promising therapeutic approach to DMD. A major limitation to the use of stem cell therapy, however, is a lack of reliable imaging technologies for long-term monitoring of implanted cells, and for evaluating its effectiveness. Here, we describe a non-invasive, real-time approach to evaluate the success of myoblast …