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Showing results (481-490 of 494) with videos related to

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Plos One|September 21, 2016
Correction: Quantitative Amyloid Imaging in Autosomal Dominant Alzheimer's Disease: Results from the DIAN Study GroupYi Su, Tyler M Blazey, Christopher J Owen, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|July 25, 2017
Presymptomatic atrophy in autosomal dominant Alzheimer's disease: A serial magnetic resonance imaging studyKirsi M Kinnunen, David M Cash, Teresa Poole, et al.
JAMA Neurology|July 30, 2014
Functional connectivity in autosomal dominant and late-onset Alzheimer diseaseJewell B Thomas, Matthew R Brier, Randall J Bateman, et al.
The Lancet. Neurology|February 5, 2018
Spatial patterns of neuroimaging biomarker change in individuals from families with autosomal dominant Alzheimer's disease: a longitudinal studyBrian A Gordon, Tyler M Blazey, Yi Su, et al.
Revue Neurologique|September 11, 2013
Preclinical trials in autosomal dominant AD: implementation of the DIAN-TU trialS M Mills, J Mallmann, A M Santacruz, et al.
JAMA Psychiatry|February 14, 2024
Genetic and Clinical Correlates of AI-Based Brain Aging Patterns in Cognitively Unimpaired IndividualsIoanna Skampardoni, Ilya M Nasrallah, Ahmed Abdulkadir, et al.
Translational Psychiatry|October 5, 2024
Genetic and clinical correlates of two neuroanatomical AI dimensions in the Alzheimer's disease continuumJunhao Wen, Zhijian Yang, Ilya M Nasrallah, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 7, 2013
Regional variability of imaging biomarkers in autosomal dominant Alzheimer's diseaseTammie L S Benzinger, Tyler Blazey, Clifford R Jack, et al.
Medrxiv : the Preprint Server for Health Sciences|January 18, 2024
Five dominant dimensions of brain aging are identified via deep learning: associations with clinical, lifestyle, and genetic measuresZhijian Yang, Junhao Wen, Guray Erus, et al.
Nature Medicine|August 15, 2024
Brain aging patterns in a large and diverse cohort of 49,482 individualsZhijian Yang, Junhao Wen, Guray Erus, et al.
Pageof 50

Showing results (481-490 of 494) with videos related to

Sort By:
Pageof 50
Plos One|September 21, 2016
Correction: Quantitative Amyloid Imaging in Autosomal Dominant Alzheimer's Disease: Results from the DIAN Study GroupYi Su, Tyler M Blazey, Christopher J Owen, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|July 25, 2017
Presymptomatic atrophy in autosomal dominant Alzheimer's disease: A serial magnetic resonance imaging studyKirsi M Kinnunen, David M Cash, Teresa Poole, et al.
JAMA Neurology|July 30, 2014
Functional connectivity in autosomal dominant and late-onset Alzheimer diseaseJewell B Thomas, Matthew R Brier, Randall J Bateman, et al.
The Lancet. Neurology|February 5, 2018
Spatial patterns of neuroimaging biomarker change in individuals from families with autosomal dominant Alzheimer's disease: a longitudinal studyBrian A Gordon, Tyler M Blazey, Yi Su, et al.
Revue Neurologique|September 11, 2013
Preclinical trials in autosomal dominant AD: implementation of the DIAN-TU trialS M Mills, J Mallmann, A M Santacruz, et al.
JAMA Psychiatry|February 14, 2024
Genetic and Clinical Correlates of AI-Based Brain Aging Patterns in Cognitively Unimpaired IndividualsIoanna Skampardoni, Ilya M Nasrallah, Ahmed Abdulkadir, et al.
Translational Psychiatry|October 5, 2024
Genetic and clinical correlates of two neuroanatomical AI dimensions in the Alzheimer's disease continuumJunhao Wen, Zhijian Yang, Ilya M Nasrallah, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 7, 2013
Regional variability of imaging biomarkers in autosomal dominant Alzheimer's diseaseTammie L S Benzinger, Tyler Blazey, Clifford R Jack, et al.
Medrxiv : the Preprint Server for Health Sciences|January 18, 2024
Five dominant dimensions of brain aging are identified via deep learning: associations with clinical, lifestyle, and genetic measuresZhijian Yang, Junhao Wen, Guray Erus, et al.
Nature Medicine|August 15, 2024
Brain aging patterns in a large and diverse cohort of 49,482 individualsZhijian Yang, Junhao Wen, Guray Erus, et al.
Pageof 50