Murat Bilgel, Ph.D.
Affiliations: | Laboratory of Behavioral Neuroscience | National Institute on Aging, Baltimore, MD, United States |
Area:
Neuroimaging, PET imaging, aging, Alzheimer's diseaseGoogle:
"Murat Bilgel"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Jerry L. Prince | grad student | 2011-2016 | Johns Hopkins (Computer Science Tree) |
| Susan Resnick | research scientist | 2012-2018 | National Institute on Aging Intramural Research Program |
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Publications
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| Joynes CM, Bilgel M, An Y, et al. (2024) Sex differences in the trajectories of plasma biomarkers, brain atrophy, and cognitive decline relative to amyloid onset. Alzheimer's & Dementia : the Journal of the Alzheimer's Association |
| Antoniades M, Srinivasan D, Wen J, et al. (2024) Relationship between MRI brain-age heterogeneity, cognition, genetics and Alzheimer's disease neuropathology. Ebiomedicine. 109: 105399 |
| Wen J, Yang Z, Nasrallah IM, et al. (2024) Genetic and clinical correlates of two neuroanatomical AI dimensions in the Alzheimer's disease continuum. Translational Psychiatry. 14: 420 |
| Soldan A, Wang J, Pettigrew C, et al. (2024) Alzheimer's disease genetic risk and changes in brain atrophy and white matter hyperintensities in cognitively unimpaired adults. Brain Communications. 6: fcae276 |
| Yang Z, Wen J, Erus G, et al. (2024) Brain aging patterns in a large and diverse cohort of 49,482 individuals. Nature Medicine |
| Duggan MR, Gomez GT, Joynes CM, et al. (2024) Proteome-wide analysis identifies plasma immune regulators of amyloid-beta progression. Brain, Behavior, and Immunity. 120: 604-619 |
| Marino FR, Deal JA, Dougherty RJ, et al. (2024) Differences in daily physical activity by Alzheimer's risk markers among older adults. The Journals of Gerontology. Series a, Biological Sciences and Medical Sciences |
| Spira AP, Liu F, Zipunnikov V, et al. (2024) Evaluating a Novel 24-Hour Rest/Activity Rhythm Marker of Preclinical β-Amyloid Deposition. Sleep |
| Skampardoni I, Nasrallah IM, Abdulkadir A, et al. (2024) Genetic and Clinical Correlates of AI-Based Brain Aging Patterns in Cognitively Unimpaired Individuals. Jama Psychiatry |
| Yang Z, Wen J, Erus G, et al. (2023) Five dominant dimensions of brain aging are identified via deep learning: associations with clinical, lifestyle, and genetic measures. Medrxiv : the Preprint Server For Health Sciences |