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Common genetic variants influence human subcortical brain structures DP Hibar, JL Stein, ME Renteria, A Arias-Vasquez, S Desrivières, ... Nature 520 (7546), 224-229, 2015 | 709 | 2015 |
Identification of common variants associated with human hippocampal and intracranial volumes JL Stein, SE Medland, AA Vasquez, DP Hibar, RE Senstad, AM Winkler, ... Nature genetics 44 (5), 552-561, 2012 | 641 | 2012 |
The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data PM Thompson, JL Stein, SE Medland, DP Hibar, AA Vasquez, ... Brain imaging and behavior 8 (2), 153-182, 2014 | 548 | 2014 |
Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort L Shen, S Kim, SL Risacher, K Nho, S Swaminathan, JD West, T Foroud, ... Neuroimage 53 (3), 1051-1063, 2010 | 373 | 2010 |
Alzheimer's Disease Neuroimaging Initiative biomarkers as quantitative phenotypes: Genetics core aims, progress, and plans AJ Saykin, L Shen, TM Foroud, SG Potkin, S Swaminathan, S Kim, ... Alzheimer's & dementia 6 (3), 265-273, 2010 | 367 | 2010 |
The genetic architecture of the human cerebral cortex KL Grasby, N Jahanshad, JN Painter, L Colodro-Conde, J Bralten, ... Science 367 (6484), eaay6690, 2020 | 280 | 2020 |
Metabolic network failures in Alzheimer's disease: a biochemical road map JB Toledo, M Arnold, G Kastenmueller, R Chang, RA Baillie, X Han, ... Alzheimer's & Dementia 13 (9), 965-984, 2017 | 249 | 2017 |
Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: A targeted metabolomics study VR Varma, AM Oommen, S Varma, R Casanova, Y An, RM Andrews, ... PLoS medicine 15 (1), e1002482, 2018 | 247 | 2018 |
Deep learning in Alzheimer's disease: diagnostic classification and prognostic prediction using neuroimaging data T Jo, K Nho, AJ Saykin Frontiers in aging neuroscience 11, 220, 2019 | 246 | 2019 |
Altered bile acid profile associates with cognitive impairment in Alzheimer's disease—an emerging role for gut microbiome S MahmoudianDehkordi, M Arnold, K Nho, S Ahmad, W Jia, G Xie, ... Alzheimer's & Dementia 15 (1), 76-92, 2019 | 245 | 2019 |
Novel genetic loci associated with hippocampal volume DP Hibar, HHH Adams, N Jahanshad, G Chauhan, JL Stein, E Hofer, ... Nature communications 8 (1), 1-12, 2017 | 231 | 2017 |
Ferritin levels in the cerebrospinal fluid predict Alzheimer’s disease outcomes and are regulated by APOE S Ayton, NG Faux, AI Bush Nature communications 6 (1), 1-9, 2015 | 221 | 2015 |
Genetic studies of quantitative MCI and AD phenotypes in ADNI: progress, opportunities, and plans AJ Saykin, L Shen, X Yao, S Kim, K Nho, SL Risacher, VK Ramanan, ... Alzheimer's & Dementia 11 (7), 792-814, 2015 | 212 | 2015 |
Genome-wide association study of CSF biomarkers Aβ1-42, t-tau, and p-tau181p in the ADNI cohort S Kim, S Swaminathan, L Shen, SL Risacher, K Nho, T Foroud, LM Shaw, ... Neurology 76 (1), 69-79, 2011 | 202 | 2011 |
Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept B Franke, JL Stein, S Ripke, V Anttila, DP Hibar, KJE Van Hulzen, ... Nature neuroscience 19 (3), 420-431, 2016 | 197 | 2016 |
Novel genetic loci underlying human intracranial volume identified through genome-wide association HHH Adams, DP Hibar, V Chouraki, JL Stein, PA Nyquist, ME Rentería, ... Nature neuroscience 19 (12), 1569-1582, 2016 | 185 | 2016 |
APOE and BCHE as modulators of cerebral amyloid deposition: a florbetapir PET genome-wide association study VK Ramanan, SL Risacher, K Nho, S Kim, S Swaminathan, L Shen, ... Molecular psychiatry 19 (3), 351-357, 2014 | 185 | 2014 |
Predicting Alzheimer’s disease progression using multi-modal deep learning approach G Lee, K Nho, B Kang, KA Sohn, D Kim Scientific reports 9 (1), 1-12, 2019 | 182 | 2019 |
Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer’s pathology TW Schmitz, R Nathan Spreng Nature communications 7 (1), 1-13, 2016 | 173 | 2016 |