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Items: 1 to 50 of 150

1.

The genetic architecture of the human cerebral cortex.

Grasby KL, Jahanshad N, Painter JN, Colodro-Conde L, Bralten J, Hibar DP, Lind PA, Pizzagalli F, Ching CRK, McMahon MAB, Shatokhina N, Zsembik LCP, Thomopoulos SI, Zhu AH, Strike LT, Agartz I, Alhusaini S, Almeida MAA, Alnæs D, Amlien IK, Andersson M, Ard T, Armstrong NJ, Ashley-Koch A, Atkins JR, Bernard M, Brouwer RM, Buimer EEL, Bülow R, Bürger C, Cannon DM, Chakravarty M, Chen Q, Cheung JW, Couvy-Duchesne B, Dale AM, Dalvie S, de Araujo TK, de Zubicaray GI, de Zwarte SMC, den Braber A, Doan NT, Dohm K, Ehrlich S, Engelbrecht HR, Erk S, Fan CC, Fedko IO, Foley SF, Ford JM, Fukunaga M, Garrett ME, Ge T, Giddaluru S, Goldman AL, Green MJ, Groenewold NA, Grotegerd D, Gurholt TP, Gutman BA, Hansell NK, Harris MA, Harrison MB, Haswell CC, Hauser M, Herms S, Heslenfeld DJ, Ho NF, Hoehn D, Hoffmann P, Holleran L, Hoogman M, Hottenga JJ, Ikeda M, Janowitz D, Jansen IE, Jia T, Jockwitz C, Kanai R, Karama S, Kasperaviciute D, Kaufmann T, Kelly S, Kikuchi M, Klein M, Knapp M, Knodt AR, Krämer B, Lam M, Lancaster TM, Lee PH, Lett TA, Lewis LB, Lopes-Cendes I, Luciano M, Macciardi F, Marquand AF, Mathias SR, Melzer TR, Milaneschi Y, Mirza-Schreiber N, Moreira JCV, Mühleisen TW, Müller-Myhsok B, Najt P, Nakahara S, Nho K, Olde Loohuis LM, Orfanos DP, Pearson JF, Pitcher TL, Pütz B, Quidé Y, Ragothaman A, Rashid FM, Reay WR, Redlich R, Reinbold CS, Repple J, Richard G, Riedel BC, Risacher SL, Rocha CS, Mota NR, Salminen L, Saremi A, Saykin AJ, Schlag F, Schmaal L, Schofield PR, Secolin R, Shapland CY, Shen L, Shin J, Shumskaya E, Sønderby IE, Sprooten E, Tansey KE, Teumer A, Thalamuthu A, Tordesillas-Gutiérrez D, Turner JA, Uhlmann A, Vallerga CL, van der Meer D, van Donkelaar MMJ, van Eijk L, van Erp TGM, van Haren NEM, van Rooij D, van Tol MJ, Veldink JH, Verhoef E, Walton E, Wang M, Wang Y, Wardlaw JM, Wen W, Westlye LT, Whelan CD, Witt SH, Wittfeld K, Wolf C, Wolfers T, Wu JQ, Yasuda CL, Zaremba D, Zhang Z, Zwiers MP, Artiges E, Assareh AA, Ayesa-Arriola R, Belger A, Brandt CL, Brown GG, Cichon S, Curran JE, Davies GE, Degenhardt F, Dennis MF, Dietsche B, Djurovic S, Doherty CP, Espiritu R, Garijo D, Gil Y, Gowland PA, Green RC, Häusler AN, Heindel W, Ho BC, Hoffmann WU, Holsboer F, Homuth G, Hosten N, Jack CR Jr, Jang M, Jansen A, Kimbrel NA, Kolskår K, Koops S, Krug A, Lim KO, Luykx JJ, Mathalon DH, Mather KA, Mattay VS, Matthews S, Mayoral Van Son J, McEwen SC, Melle I, Morris DW, Mueller BA, Nauck M, Nordvik JE, Nöthen MM, O'Leary DS, Opel N, Martinot MP, Pike GB, Preda A, Quinlan EB, Rasser PE, Ratnakar V, Reppermund S, Steen VM, Tooney PA, Torres FR, Veltman DJ, Voyvodic JT, Whelan R, White T, Yamamori H, Adams HHH, Bis JC, Debette S, Decarli C, Fornage M, Gudnason V, Hofer E, Ikram MA, Launer L, Longstreth WT, Lopez OL, Mazoyer B, Mosley TH, Roshchupkin GV, Satizabal CL, Schmidt R, Seshadri S, Yang Q; Alzheimer’s Disease Neuroimaging Initiative; CHARGE Consortium; EPIGEN Consortium; IMAGEN Consortium; SYS Consortium; Parkinson’s Progression Markers Initiative, Alvim MKM, Ames D, Anderson TJ, Andreassen OA, Arias-Vasquez A, Bastin ME, Baune BT, Beckham JC, Blangero J, Boomsma DI, Brodaty H, Brunner HG, Buckner RL, Buitelaar JK, Bustillo JR, Cahn W, Cairns MJ, Calhoun V, Carr VJ, Caseras X, Caspers S, Cavalleri GL, Cendes F, Corvin A, Crespo-Facorro B, Dalrymple-Alford JC, Dannlowski U, de Geus EJC, Deary IJ, Delanty N, Depondt C, Desrivières S, Donohoe G, Espeseth T, Fernández G, Fisher SE, Flor H, Forstner AJ, Francks C, Franke B, Glahn DC, Gollub RL, Grabe HJ, Gruber O, Håberg AK, Hariri AR, Hartman CA, Hashimoto R, Heinz A, Henskens FA, Hillegers MHJ, Hoekstra PJ, Holmes AJ, Hong LE, Hopkins WD, Hulshoff Pol HE, Jernigan TL, Jönsson EG, Kahn RS, Kennedy MA, Kircher TTJ, Kochunov P, Kwok JBJ, Le Hellard S, Loughland CM, Martin NG, Martinot JL, McDonald C, McMahon KL, Meyer-Lindenberg A, Michie PT, Morey RA, Mowry B, Nyberg L, Oosterlaan J, Ophoff RA, Pantelis C, Paus T, Pausova Z, Penninx BWJH, Polderman TJC, Posthuma D, Rietschel M, Roffman JL, Rowland LM, Sachdev PS, Sämann PG, Schall U, Schumann G, Scott RJ, Sim K, Sisodiya SM, Smoller JW, Sommer IE, St Pourcain B, Stein DJ, Toga AW, Trollor JN, Van der Wee NJA, van 't Ent D, Völzke H, Walter H, Weber B, Weinberger DR, Wright MJ, Zhou J, Stein JL, Thompson PM, Medland SE; Enhancing NeuroImaging Genetics through Meta-Analysis Consortium (ENIGMA)—Genetics working group.

Science. 2020 Mar 20;367(6484). pii: eaay6690. doi: 10.1126/science.aay6690.

PMID:
32193296
2.

Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach.

Du L, Liu K, Yao X, Risacher SL, Han J, Saykin AJ, Guo L, Shen L.

Med Image Anal. 2020 Apr;61:101656. doi: 10.1016/j.media.2020.101656. Epub 2020 Jan 23.

PMID:
32062154
3.

Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data.

Peng B, Yao X, Risacher SL, Saykin AJ, Shen L, Ning X.

IEEE EMBS Int Conf Biomed Health Inform. 2019 May;2019. doi: 10.1109/BHI.2019.8834618. Epub 2019 Sep 12.

PMID:
31934686
4.

Neurodegenerative Patterns of Cognitive Clusters of Early-Onset Alzheimer's Disease Subjects: Evidence for Disease Heterogeneity.

Phillips ML, Stage EC Jr, Lane KA, Gao S, Risacher SL, Goukasian N, Saykin AJ, Carrillo MC, Dickerson BC, Rabinovici GD, Apostolova LG; Alzheimer’s Disease Neuroimaging Initiative.

Dement Geriatr Cogn Disord. 2019;48(3-4):131-142. doi: 10.1159/000504341. Epub 2020 Jan 3.

PMID:
31901905
5.

Dysregulated Fc gamma receptor-mediated phagocytosis pathway in Alzheimer's disease: network-based gene expression analysis.

Park YH, Hodges A, Risacher SL, Lin K, Jang JW, Ahn S, Kim S, Lovestone S, Simmons A, Weiner MW, Saykin AJ, Nho K; AddNeuroMed consortium and the Alzheimer's Disease Neuroimaging Initiative.

Neurobiol Aging. 2020 Apr;88:24-32. doi: 10.1016/j.neurobiolaging.2019.12.001. Epub 2019 Dec 10.

PMID:
31901293
6.

Regional Imaging Genetic Enrichment Analysis.

Yao X, Cong S, Yan J, Risacher SL, Saykin AJ, Moore JH, Shen L; UK Brain Expression Consortium; Alzheimer’s Disease Neuroimaging Initiative.

Bioinformatics. 2019 Dec 20. pii: btz948. doi: 10.1093/bioinformatics/btz948. [Epub ahead of print]

PMID:
31860065
7.

DIAGNOSIS STATUS GUIDED BRAIN IMAGING GENETICS VIA INTEGRATED REGRESSION AND SPARSE CANONICAL CORRELATION ANALYSIS.

Du L, Liu K, Yao X, Risacher SL, Guo L, Saykin AJ, Shen L; ADNI.

Proc IEEE Int Symp Biomed Imaging. 2019 Apr;2019:356-359. doi: 10.1109/ISBI.2019.8759489. Epub 2019 Jul 11.

8.

Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease.

Hao X, Bao Y, Guo Y, Yu M, Zhang D, Risacher SL, Saykin AJ, Yao X, Shen L; Alzheimer's Disease Neuroimaging Initiative.

Med Image Anal. 2020 Feb;60:101625. doi: 10.1016/j.media.2019.101625. Epub 2019 Dec 2.

PMID:
31841947
9.

Genome-wide Network-assisted Association and Enrichment Study of Amyloid Imaging Phenotype in Alzheimer's Disease.

Li J, Chen F, Zhang Q, Meng X, Yao X, Risacher SL, Yan J, Saykin AJ, Liang H, Shen L; Alzheimer’s Disease Neuroimaging Initiative.

Curr Alzheimer Res. 2019;16(13):1163-1174. doi: 10.2174/1567205016666191121142558.

PMID:
31755389
10.

Neuroimaging in aging and neurologic diseases.

Risacher SL, Saykin AJ.

Handb Clin Neurol. 2019;167:191-227. doi: 10.1016/B978-0-12-804766-8.00012-1.

PMID:
31753134
11.

Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis.

Yao X, Cong S, Yan J, Risacher SL, Saykin AJ, Moore JH, Shen L.

IEEE EMBS Int Conf Biomed Health Inform. 2019 May;2019. doi: 10.1109/BHI.2019.8834450. Epub 2019 Sep 12.

PMID:
31742256
12.

Genetic architecture of subcortical brain structures in 38,851 individuals.

Satizabal CL, Adams HHH, Hibar DP, White CC, Knol MJ, Stein JL, Scholz M, Sargurupremraj M, Jahanshad N, Roshchupkin GV, Smith AV, Bis JC, Jian X, Luciano M, Hofer E, Teumer A, van der Lee SJ, Yang J, Yanek LR, Lee TV, Li S, Hu Y, Koh JY, Eicher JD, Desrivières S, Arias-Vasquez A, Chauhan G, Athanasiu L, Rentería ME, Kim S, Hoehn D, Armstrong NJ, Chen Q, Holmes AJ, den Braber A, Kloszewska I, Andersson M, Espeseth T, Grimm O, Abramovic L, Alhusaini S, Milaneschi Y, Papmeyer M, Axelsson T, Ehrlich S, Roiz-Santiañez R, Kraemer B, Håberg AK, Jones HJ, Pike GB, Stein DJ, Stevens A, Bralten J, Vernooij MW, Harris TB, Filippi I, Witte AV, Guadalupe T, Wittfeld K, Mosley TH, Becker JT, Doan NT, Hagenaars SP, Saba Y, Cuellar-Partida G, Amin N, Hilal S, Nho K, Mirza-Schreiber N, Arfanakis K, Becker DM, Ames D, Goldman AL, Lee PH, Boomsma DI, Lovestone S, Giddaluru S, Le Hellard S, Mattheisen M, Bohlken MM, Kasperaviciute D, Schmaal L, Lawrie SM, Agartz I, Walton E, Tordesillas-Gutierrez D, Davies GE, Shin J, Ipser JC, Vinke LN, Hoogman M, Jia T, Burkhardt R, Klein M, Crivello F, Janowitz D, Carmichael O, Haukvik UK, Aribisala BS, Schmidt H, Strike LT, Cheng CY, Risacher SL, Pütz B, Fleischman DA, Assareh AA, Mattay VS, Buckner RL, Mecocci P, Dale AM, Cichon S, Boks MP, Matarin M, Penninx BWJH, Calhoun VD, Chakravarty MM, Marquand AF, Macare C, Kharabian Masouleh S, Oosterlaan J, Amouyel P, Hegenscheid K, Rotter JI, Schork AJ, Liewald DCM, de Zubicaray GI, Wong TY, Shen L, Sämann PG, Brodaty H, Roffman JL, de Geus EJC, Tsolaki M, Erk S, van Eijk KR, Cavalleri GL, van der Wee NJA, McIntosh AM, Gollub RL, Bulayeva KB, Bernard M, Richards JS, Himali JJ, Loeffler M, Rommelse N, Hoffmann W, Westlye LT, Valdés Hernández MC, Hansell NK, van Erp TGM, Wolf C, Kwok JBJ, Vellas B, Heinz A, Olde Loohuis LM, Delanty N, Ho BC, Ching CRK, Shumskaya E, Singh B, Hofman A, van der Meer D, Homuth G, Psaty BM, Bastin ME, Montgomery GW, Foroud TM, Reppermund S, Hottenga JJ, Simmons A, Meyer-Lindenberg A, Cahn W, Whelan CD, van Donkelaar MMJ, Yang Q, Hosten N, Green RC, Thalamuthu A, Mohnke S, Hulshoff Pol HE, Lin H, Jack CR Jr, Schofield PR, Mühleisen TW, Maillard P, Potkin SG, Wen W, Fletcher E, Toga AW, Gruber O, Huentelman M, Davey Smith G, Launer LJ, Nyberg L, Jönsson EG, Crespo-Facorro B, Koen N, Greve DN, Uitterlinden AG, Weinberger DR, Steen VM, Fedko IO, Groenewold NA, Niessen WJ, Toro R, Tzourio C, Longstreth WT Jr, Ikram MK, Smoller JW, van Tol MJ, Sussmann JE, Paus T, Lemaître H, Schroeter ML, Mazoyer B, Andreassen OA, Holsboer F, Depondt C, Veltman DJ, Turner JA, Pausova Z, Schumann G, van Rooij D, Djurovic S, Deary IJ, McMahon KL, Müller-Myhsok B, Brouwer RM, Soininen H, Pandolfo M, Wassink TH, Cheung JW, Wolfers T, Martinot JL, Zwiers MP, Nauck M, Melle I, Martin NG, Kanai R, Westman E, Kahn RS, Sisodiya SM, White T, Saremi A, van Bokhoven H, Brunner HG, Völzke H, Wright MJ, van 't Ent D, Nöthen MM, Ophoff RA, Buitelaar JK, Fernández G, Sachdev PS, Rietschel M, van Haren NEM, Fisher SE, Beiser AS, Francks C, Saykin AJ, Mather KA, Romanczuk-Seiferth N, Hartman CA, DeStefano AL, Heslenfeld DJ, Weiner MW, Walter H, Hoekstra PJ, Nyquist PA, Franke B, Bennett DA, Grabe HJ, Johnson AD, Chen C, van Duijn CM, Lopez OL, Fornage M, Wardlaw JM, Schmidt R, DeCarli C, De Jager PL, Villringer A, Debette S, Gudnason V, Medland SE, Shulman JM, Thompson PM, Seshadri S, Ikram MA.

Nat Genet. 2019 Nov;51(11):1624-1636. doi: 10.1038/s41588-019-0511-y. Epub 2019 Oct 21.

PMID:
31636452
13.

Bile acids targeted metabolomics and medication classification data in the ADNI1 and ADNIGO/2 cohorts.

St John-Williams L, Mahmoudiandehkordi S, Arnold M, Massaro T, Blach C, Kastenmüller G, Louie G, Kueider-Paisley A, Han X, Baillie R, Motsinger-Reif AA, Rotroff D, Nho K, Saykin AJ, Risacher SL, Koal T, Moseley MA, Tenenbaum JD, Thompson JW, Kaddurah-Daouk R; Alzheimer’s Disease Neuroimaging Initiative; Alzheimer’s Disease Metabolomics Consortium.

Sci Data. 2019 Oct 17;6(1):212. doi: 10.1038/s41597-019-0181-8.

14.

Genome-wide association analysis of hippocampal volume identifies enrichment of neurogenesis-related pathways.

Horgusluoglu-Moloch E, Risacher SL, Crane PK, Hibar D, Thompson PM, Saykin AJ, Nho K; Alzheimer’s Disease Neuroimaging Initiative (ADNI).

Sci Rep. 2019 Oct 10;9(1):14498. doi: 10.1038/s41598-019-50507-3.

15.

Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort.

Du L, Liu K, Zhu L, Yao X, Risacher SL, Guo L, Saykin AJ, Shen L; Alzheimer’s Disease Neuroimaging Initiative.

Bioinformatics. 2019 Jul 15;35(14):i474-i483. doi: 10.1093/bioinformatics/btz320.

16.

White matter alterations in early-stage Alzheimer's disease: A tract-specific study.

Wen Q, Mustafi SM, Li J, Risacher SL, Tallman E, Brown SA, West JD, Harezlak J, Farlow MR, Unverzagt FW, Gao S, Apostolova LG, Saykin AJ, Wu YC.

Alzheimers Dement (Amst). 2019 Aug 21;11:576-587. doi: 10.1016/j.dadm.2019.06.003. eCollection 2019 Dec.

17.

Plasma amyloid beta levels are associated with cerebral amyloid and tau deposition.

Risacher SL, Fandos N, Romero J, Sherriff I, Pesini P, Saykin AJ, Apostolova LG.

Alzheimers Dement (Amst). 2019 Jul 26;11:510-519. doi: 10.1016/j.dadm.2019.05.007. eCollection 2019 Dec.

18.

Association of Altered Liver Enzymes With Alzheimer Disease Diagnosis, Cognition, Neuroimaging Measures, and Cerebrospinal Fluid Biomarkers.

Nho K, Kueider-Paisley A, Ahmad S, MahmoudianDehkordi S, Arnold M, Risacher SL, Louie G, Blach C, Baillie R, Han X, Kastenmüller G, Trojanowski JQ, Shaw LM, Weiner MW, Doraiswamy PM, van Duijn C, Saykin AJ, Kaddurah-Daouk R; Alzheimer’s Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium.

JAMA Netw Open. 2019 Jul 3;2(7):e197978. doi: 10.1001/jamanetworkopen.2019.7978.

19.

MIND food and speed of processing training in older adults with low education, the MINDSpeed Alzheimer's disease prevention pilot trial.

Clark DO, Xu H, Moser L, Adeoye P, Lin AW, Tangney CC, Risacher SL, Saykin AJ, Considine RV, Unverzagt FW.

Contemp Clin Trials. 2019 Sep;84:105814. doi: 10.1016/j.cct.2019.105814. Epub 2019 Jul 18.

PMID:
31326523
20.

Telomere Shortening in the Alzheimer's Disease Neuroimaging Initiative Cohort.

Nudelman KNH, Lin J, Lane KA, Nho K, Kim S, Faber KM, Risacher SL, Foroud TM, Gao S, Davis JW, Weiner MW, Saykin AJ; Alzheimer’s Disease Neuroimaging Initiative.

J Alzheimers Dis. 2019;71(1):33-43. doi: 10.3233/JAD-190010.

PMID:
31322561
21.

Targeted genetic analysis of cerebral blood flow imaging phenotypes implicates the INPP5D gene.

Yao X, Risacher SL, Nho K, Saykin AJ, Wang Z, Shen L; Alzheimer's Disease Neuroimaging Initiative.

Neurobiol Aging. 2019 Sep;81:213-221. doi: 10.1016/j.neurobiolaging.2019.06.003. Epub 2019 Jun 18.

PMID:
31319229
22.

Exercise prevents obesity-induced cognitive decline and white matter damage in mice.

Graham LC, Grabowska WA, Chun Y, Risacher SL, Philip VM, Saykin AJ; Alzheimer's Disease Neuroimaging Initiative (ADNI), Sukoff Rizzo SJ, Howell GR.

Neurobiol Aging. 2019 Aug;80:154-172. doi: 10.1016/j.neurobiolaging.2019.03.018. Epub 2019 May 3.

23.

Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics.

Du L, Liu K, Yao X, Risacher SL, Han J, Guo L, Saykin AJ, Shen L; Alzheimer’s Disease Neuroimaging Initiative.

Proceedings (IEEE Int Conf Bioinformatics Biomed). 2018 Dec;2018:356-361. doi: 10.1109/BIBM.2018.8621298. Epub 2019 Jan 24.

24.

Resting state network modularity along the prodromal late onset Alzheimer's disease continuum.

Contreras JA, Avena-Koenigsberger A, Risacher SL, West JD, Tallman E, McDonald BC, Farlow MR, Apostolova LG, Goñi J, Dzemidzic M, Wu YC, Kessler D, Jeub L, Fortunato S, Saykin AJ, Sporns O.

Neuroimage Clin. 2019;22:101687. doi: 10.1016/j.nicl.2019.101687. Epub 2019 Jan 22.

25.

Identification of exon skipping events associated with Alzheimer's disease in the human hippocampus.

Han S, Miller JE, Byun S, Kim D, Risacher SL, Saykin AJ, Lee Y, Nho K; for Alzheimer’s Disease Neuroimaging Initiative.

BMC Med Genomics. 2019 Jan 31;12(Suppl 1):13. doi: 10.1186/s12920-018-0453-8.

26.

Neuropathological correlates and genetic architecture of microglial activation in elderly human brain.

Felsky D, Roostaei T, Nho K, Risacher SL, Bradshaw EM, Petyuk V, Schneider JA, Saykin A, Bennett DA, De Jager PL.

Nat Commun. 2019 Jan 24;10(1):409. doi: 10.1038/s41467-018-08279-3.

27.

Subjective cognitive decline and rates of incident Alzheimer's disease and non-Alzheimer's disease dementia.

Slot RER, Sikkes SAM, Berkhof J, Brodaty H, Buckley R, Cavedo E, Dardiotis E, Guillo-Benarous F, Hampel H, Kochan NA, Lista S, Luck T, Maruff P, Molinuevo JL, Kornhuber J, Reisberg B, Riedel-Heller SG, Risacher SL, Roehr S, Sachdev PS, Scarmeas N, Scheltens P, Shulman MB, Saykin AJ, Verfaillie SCJ, Visser PJ, Vos SJB, Wagner M, Wolfsgruber S, Jessen F; Alzheimer's Disease Neuroimaging Initiative; DESCRIPA working group; INSIGHT-preAD study group; SCD-I working group, van der Flier WM.

Alzheimers Dement. 2019 Mar;15(3):465-476. doi: 10.1016/j.jalz.2018.10.003. Epub 2018 Dec 13.

28.

Quantitative trait loci identification for brain endophenotypes via new additive model with random networks.

Wang X, Chen H, Yan J, Nho K, Risacher SL, Saykin AJ, Shen L, Huang H; ADNI.

Bioinformatics. 2018 Sep 1;34(17):i866-i874. doi: 10.1093/bioinformatics/bty557.

29.

Detection of tau in Gerstmann-Sträussler-Scheinker disease (PRNP F198S) by [18F]Flortaucipir PET.

Risacher SL, Farlow MR, Bateman DR, Epperson F, Tallman EF, Richardson R, Murrell JR, Unverzagt FW, Apostolova LG, Bonnin JM, Ghetti B, Saykin AJ.

Acta Neuropathol Commun. 2018 Oct 29;6(1):114. doi: 10.1186/s40478-018-0608-z.

30.

Genome-wide association study of brain amyloid deposition as measured by Pittsburgh Compound-B (PiB)-PET imaging.

Yan Q, Nho K, Del-Aguila JL, Wang X, Risacher SL, Fan KH, Snitz BE, Aizenstein HJ, Mathis CA, Lopez OL, Demirci FY, Feingold E, Klunk WE, Saykin AJ; Alzheimer’s Disease Neuroimaging Initiative (ADNI), Cruchaga C, Kamboh MI.

Mol Psychiatry. 2018 Oct 25. doi: 10.1038/s41380-018-0246-7. [Epub ahead of print]

31.

Altered bile acid profile in mild cognitive impairment and Alzheimer's disease: Relationship to neuroimaging and CSF biomarkers.

Nho K, Kueider-Paisley A, MahmoudianDehkordi S, Arnold M, Risacher SL, Louie G, Blach C, Baillie R, Han X, Kastenmüller G, Jia W, Xie G, Ahmad S, Hankemeier T, van Duijn CM, Trojanowski JQ, Shaw LM, Weiner MW, Doraiswamy PM, Saykin AJ, Kaddurah-Daouk R; Alzheimer's Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium.

Alzheimers Dement. 2019 Feb;15(2):232-244. doi: 10.1016/j.jalz.2018.08.012. Epub 2018 Oct 15.

32.

Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-An emerging role for gut microbiome.

MahmoudianDehkordi S, Arnold M, Nho K, Ahmad S, Jia W, Xie G, Louie G, Kueider-Paisley A, Moseley MA, Thompson JW, St John Williams L, Tenenbaum JD, Blach C, Baillie R, Han X, Bhattacharyya S, Toledo JB, Schafferer S, Klein S, Koal T, Risacher SL, Kling MA, Motsinger-Reif A, Rotroff DM, Jack J, Hankemeier T, Bennett DA, De Jager PL, Trojanowski JQ, Shaw LM, Weiner MW, Doraiswamy PM, van Duijn CM, Saykin AJ, Kastenmüller G, Kaddurah-Daouk R; Alzheimer's Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium.

Alzheimers Dement. 2019 Jan;15(1):76-92. doi: 10.1016/j.jalz.2018.07.217. Epub 2018 Oct 15. Erratum in: Alzheimers Dement. 2019 Apr;15(4):604.

33.

JOINT EXPLORATION AND MINING OF MEMORY-RELEVANT BRAIN ANATOMIC AND CONNECTOMIC PATTERNS VIA A THREE-WAY ASSOCIATION MODEL.

Yan J, Liu K, Li H, Amico E, Risacher SL, Wu YC, Fang S, Sporns O, Saykin AJ, Goñi J, Shen L.

Proc IEEE Int Symp Biomed Imaging. 2018 Apr;2018:6-9. doi: 10.1109/ISBI.2018.8363511. Epub 2018 May 24.

34.

Rare variants in the splicing regulatory elements of EXOC3L4 are associated with brain glucose metabolism in Alzheimer's disease.

Miller JE, Shivakumar MK, Lee Y, Han S, Horgousluoglu E, Risacher SL, Saykin AJ, Nho K, Kim D; Alzheimer’s Disease Neuroimaging Initiative.

BMC Med Genomics. 2018 Sep 14;11(Suppl 3):76. doi: 10.1186/s12920-018-0390-6.

35.

Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model.

Wang X, Yan J, Yao X, Kim S, Nho K, Risacher SL, Saykin AJ, Shen L, Huang H.

J Comput Biol. 2018 Jul;25(7):809-824. doi: 10.1089/cmb.2018.0008.

36.

Exome Chip Analysis Identifies Low-Frequency and Rare Variants in MRPL38 for White Matter Hyperintensities on Brain Magnetic Resonance Imaging.

Jian X, Satizabal CL, Smith AV, Wittfeld K, Bis JC, Smith JA, Hsu FC, Nho K, Hofer E, Hagenaars SP, Nyquist PA, Mishra A, Adams HHH, Li S, Teumer A, Zhao W, Freedman BI, Saba Y, Yanek LR, Chauhan G, van Buchem MA, Cushman M, Royle NA, Bryan RN, Niessen WJ, Windham BG, DeStefano AL, Habes M, Heckbert SR, Palmer ND, Lewis CE, Eiriksdottir G, Maillard P, Mathias RA, Homuth G, Valdés-Hernández MDC, Divers J, Beiser AS, Langner S, Rice KM, Bastin ME, Yang Q, Maldjian JA, Starr JM, Sidney S, Risacher SL, Uitterlinden AG, Gudnason VG, Nauck M, Rotter JI, Schreiner PJ, Boerwinkle E, van Duijn CM, Mazoyer B, von Sarnowski B, Gottesman RF, Levy D, Sigurdsson S, Vernooij MW, Turner ST, Schmidt R, Wardlaw JM, Psaty BM, Mosley TH, DeCarli CS, Saykin AJ, Bowden DW, Becker DM, Deary IJ, Schmidt H, Kardia SLR, Ikram MA, Debette S, Grabe HJ, Longstreth WT Jr, Seshadri S, Launer LJ, Fornage M; neuroCHARGE Working Group.

Stroke. 2018 Aug;49(8):1812-1819. doi: 10.1161/STROKEAHA.118.020689.

37.

Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning.

Hao X, Yao X, Risacher SL, Saykin AJ, Yu J, Wang H, Tan L, Shen L, Zhang D.

IEEE/ACM Trans Comput Biol Bioinform. 2019 Nov-Dec;16(6):1986-1996. doi: 10.1109/TCBB.2018.2833487. Epub 2018 May 7.

PMID:
29993890
38.

Genetic variation affecting exon skipping contributes to brain structural atrophy in Alzheimer's disease.

Lee Y, Han S, Kim D, Kim D, Horgousluoglu E, Risacher SL, Saykin AJ, Nho K.

AMIA Jt Summits Transl Sci Proc. 2018 May 18;2017:124-131. eCollection 2018.

39.

Memory concerns in the early Alzheimer's disease prodrome: Regional association with tau deposition.

Swinford CG, Risacher SL, Charil A, Schwarz AJ, Saykin AJ.

Alzheimers Dement (Amst). 2018 Mar 24;10:322-331. doi: 10.1016/j.dadm.2018.03.001. eCollection 2018.

40.

Topographic staging of tau positron emission tomography images.

Schwarz AJ, Shcherbinin S, Slieker LJ, Risacher SL, Charil A, Irizarry MC, Fleisher AS, Southekal S, Joshi AD, Devous MD Sr, Miller BB, Saykin AJ; Alzheimer's Disease Neuroimaging Initiative.

Alzheimers Dement (Amst). 2018 Feb 14;10:221-231. doi: 10.1016/j.dadm.2018.01.006. eCollection 2018.

41.

Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-Learning Predictive Model.

Wang X, Yan J, Yao X, Kim S, Nho K, Risacher SL, Saykin AJ, Shen L, Huang H.

Res Comput Mol Biol. 2017 May;10229:287-302. doi: 10.1007/978-3-319-56970-3_18. Epub 2017 Apr 12.

42.

Associations of the Top 20 Alzheimer Disease Risk Variants With Brain Amyloidosis.

Apostolova LG, Risacher SL, Duran T, Stage EC, Goukasian N, West JD, Do TM, Grotts J, Wilhalme H, Nho K, Phillips M, Elashoff D, Saykin AJ; Alzheimer’s Disease Neuroimaging Initiative.

JAMA Neurol. 2018 Mar 1;75(3):328-341. doi: 10.1001/jamaneurol.2017.4198.

43.

Volumetric comparison of hippocampal subfields extracted from 4-minute accelerated vs. 8-minute high-resolution T2-weighted 3T MRI scans.

Cong S, Risacher SL, West JD, Wu YC, Apostolova LG, Tallman E, Rizkalla M, Salama P, Saykin AJ, Shen L.

Brain Imaging Behav. 2018 Dec;12(6):1583-1595. doi: 10.1007/s11682-017-9819-3.

44.

Type 2 diabetes mellitus and cerebrospinal fluid Alzheimer's disease biomarker amyloid β1-42 in Alzheimer's Disease Neuroimaging Initiative participants.

Li W, Risacher SL, Gao S, Boehm SL 2nd, Elmendorf JS, Saykin AJ.

Alzheimers Dement (Amst). 2017 Nov 23;10:94-98. doi: 10.1016/j.dadm.2017.11.002. eCollection 2018.

45.

Codon bias among synonymous rare variants is associated with Alzheimer's disease imaging biomarker.

Miller JE, Shivakumar MK, Risacher SL, Saykin AJ, Lee S, Nho K, Kim D.

Pac Symp Biocomput. 2018;23:365-376.

46.

Olfactory identification in subjective cognitive decline and mild cognitive impairment: Association with tau but not amyloid positron emission tomography.

Risacher SL, Tallman EF, West JD, Yoder KK, Hutchins GD, Fletcher JW, Gao S, Kareken DA, Farlow MR, Apostolova LG, Saykin AJ.

Alzheimers Dement (Amst). 2017 Sep 23;9:57-66. doi: 10.1016/j.dadm.2017.09.001. eCollection 2017.

47.

Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty.

Du L, Liu K, Yao X, Yan J, Risacher SL, Han J, Guo L, Saykin AJ, Shen L; Alzheimer’s Disease Neuroimaging Initiative.

Sci Rep. 2017 Oct 25;7(1):14052. doi: 10.1038/s41598-017-13930-y.

48.

Alzheimer disease brain atrophy subtypes are associated with cognition and rate of decline.

Risacher SL, Anderson WH, Charil A, Castelluccio PF, Shcherbinin S, Saykin AJ, Schwarz AJ; Alzheimer's Disease Neuroimaging Initiative.

Neurology. 2017 Nov 21;89(21):2176-2186. doi: 10.1212/WNL.0000000000004670. Epub 2017 Oct 25.

49.

Targeted metabolomics and medication classification data from participants in the ADNI1 cohort.

St John-Williams L, Blach C, Toledo JB, Rotroff DM, Kim S, Klavins K, Baillie R, Han X, Mahmoudiandehkordi S, Jack J, Massaro TJ, Lucas JE, Louie G, Motsinger-Reif AA, Risacher SL; Alzheimer’s Disease Neuroimaging Initiative; Alzheimer’s Disease Metabolomics Consortium, Saykin AJ, Kastenmüller G, Arnold M, Koal T, Moseley MA, Mangravite LM, Peters MA, Tenenbaum JD, Thompson JW, Kaddurah-Daouk R.

Sci Data. 2017 Oct 17;4:170140. doi: 10.1038/sdata.2017.140.

50.

A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics.

Du L, Liu K, Zhang T, Yao X, Yan J, Risacher SL, Han J, Guo L, Saykin AJ, Shen L; Alzheimer’s Disease Neuroimaging Initiative.

Bioinformatics. 2018 Jan 15;34(2):278-285. doi: 10.1093/bioinformatics/btx594.

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