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Items: 1 to 50 of 135

1.

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.

2.

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.

3.

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.

4.

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.

5.

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
6.

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
7.

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
8.

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.

9.

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.

PMID:
30881731
10.

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.

11.

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.

12.

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.

13.

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.

14.

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.

15.

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.

16.

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]

17.

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.

18.

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.

PMID:
30337151
19.

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.

20.

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.

21.

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.

22.

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.

23.

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.

24.

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.

25.

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.

26.

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.

27.

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.

28.

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.

PMID:
29305751
29.

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.

30.

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.

31.

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.

32.

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.

33.

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.

34.

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.

35.

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. 2017 Sep 18. doi: 10.1093/bioinformatics/btx594. [Epub ahead of print]

36.

Targeted neurogenesis pathway-based gene analysis identifies ADORA2A associated with hippocampal volume in mild cognitive impairment and Alzheimer's disease.

Horgusluoglu-Moloch E, Nho K, Risacher SL, Kim S, Foroud T, Shaw LM, Trojanowski JQ, Aisen PS, Petersen RC, Jack CR Jr, Lovestone S, Simmons A, Weiner MW, Saykin AJ; Alzheimer's Disease Neuroimaging Initiative (ADNI).

Neurobiol Aging. 2017 Dec;60:92-103. doi: 10.1016/j.neurobiolaging.2017.08.010. Epub 2017 Aug 18.

37.

Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis.

Hao X, Li C, Yan J, Yao X, Risacher SL, Saykin AJ, Shen L, Zhang D; Alzheimer’s Disease Neuroimaging Initiative.

Bioinformatics. 2017 Jul 15;33(14):i341-i349. doi: 10.1093/bioinformatics/btx245.

38.

Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via A Novel Structured SCCA Approach.

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

Inf Process Med Imaging. 2017 Jun;10265:543-555. doi: 10.1007/978-3-319-59050-9_43. Epub 2017 May 23.

39.

Predicting Interrelated Alzheimer's Disease Outcomes via New Self-Learned Structured Low-Rank Model.

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

Inf Process Med Imaging. 2017 Jun;10265:198-209. doi: 10.1007/978-3-319-59050-9_16. Epub 2017 May 23.

40.

Brain explorer for connectomic analysis.

Li H, Fang S, Contreras JA, West JD, Risacher SL, Wang Y, Sporns O, Saykin AJ, Goñi J, Shen L; Alzheimer’s Disease Neuroimaging Initiative.

Brain Inform. 2017 Dec;4(4):253-269. doi: 10.1007/s40708-017-0071-9. Epub 2017 Aug 23.

41.

Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data.

Yan J, Risacher SL, Shen L, Saykin AJ.

Brief Bioinform. 2018 Nov 27;19(6):1370-1381. doi: 10.1093/bib/bbx066. Review.

42.

Association analysis of rare variants near the APOE region with CSF and neuroimaging biomarkers of Alzheimer's disease.

Nho K, Kim S, Horgusluoglu E, Risacher SL, Shen L, Kim D, Lee S, Foroud T, Shaw LM, Trojanowski JQ, Aisen PS, Petersen RC, Jack CR Jr, Weiner MW, Green RC, Toga AW, Saykin AJ; Alzheimer’s Disease Neuroimaging Initiative (ADNI).

BMC Med Genomics. 2017 May 24;10(Suppl 1):29. doi: 10.1186/s12920-017-0267-0.

43.

Genome-wide association study of language performance in Alzheimer's disease.

Deters KD, Nho K, Risacher SL, Kim S, Ramanan VK, Crane PK, Apostolova LG, Saykin AJ; Alzheimer's Disease Neuroimaging Initiative.

Brain Lang. 2017 Sep;172:22-29. doi: 10.1016/j.bandl.2017.04.008. Epub 2017 May 31.

44.

Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.

Yao X, Yan J, Liu K, Kim S, Nho K, Risacher SL, Greene CS, Moore JH, Saykin AJ, Shen L; Alzheimer’s Disease Neuroimaging Initiative.

Bioinformatics. 2017 Oct 15;33(20):3250-3257. doi: 10.1093/bioinformatics/btx344.

45.

Plasma Tau Association with Brain Atrophy in Mild Cognitive Impairment and Alzheimer's Disease.

Deters KD, Risacher SL, Kim S, Nho K, West JD, Blennow K, Zetterberg H, Shaw LM, Trojanowski JQ, Weiner MW, Saykin AJ; Alzheimer Disease Neuroimaging Initiative.

J Alzheimers Dis. 2017;58(4):1245-1254. doi: 10.3233/JAD-161114.

46.

Unraveling the Biologic Basis for Domain-Specific Cognitive Decline.

Risacher SL.

Am J Geriatr Psychiatry. 2017 Jul;25(7):741-743. doi: 10.1016/j.jagp.2017.04.007. Epub 2017 Apr 11. No abstract available.

47.

Metabolic network failures in Alzheimer's disease: A biochemical road map.

Toledo JB, Arnold M, Kastenmüller G, Chang R, Baillie RA, Han X, Thambisetty M, Tenenbaum JD, Suhre K, Thompson JW, John-Williams LS, MahmoudianDehkordi S, Rotroff DM, Jack JR, Motsinger-Reif A, Risacher SL, Blach C, Lucas JE, Massaro T, Louie G, Zhu H, Dallmann G, Klavins K, Koal T, Kim S, Nho K, Shen L, Casanova R, Varma S, Legido-Quigley C, Moseley MA, Zhu K, Henrion MYR, van der Lee SJ, Harms AC, Demirkan A, Hankemeier T, van Duijn CM, Trojanowski JQ, Shaw LM, Saykin AJ, Weiner MW, Doraiswamy PM, Kaddurah-Daouk R; Alzheimer's Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium.

Alzheimers Dement. 2017 Sep;13(9):965-984. doi: 10.1016/j.jalz.2017.01.020. Epub 2017 Mar 22.

48.

Age at injury is associated with the long-term cognitive outcome of traumatic brain injuries.

Li W, Risacher SL, McAllister TW, Saykin AJ; Alzheimer's Disease Neuroimaging Initiative.

Alzheimers Dement (Amst). 2017 Mar 2;6:196-200. doi: 10.1016/j.dadm.2017.01.008. eCollection 2017.

49.

Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer's Disease.

Hao X, Li C, Du L, Yao X, Yan J, Risacher SL, Saykin AJ, Shen L, Zhang D; Alzheimer’s Disease Neuroimaging Initiative.

Sci Rep. 2017 Mar 14;7:44272. doi: 10.1038/srep44272.

50.

Cognitive complaints in older adults at risk for Alzheimer's disease are associated with altered resting-state networks.

Contreras JA, Goñi J, Risacher SL, Amico E, Yoder K, Dzemidzic M, West JD, McDonald BC, Farlow MR, Sporns O, Saykin AJ.

Alzheimers Dement (Amst). 2016 Dec 22;6:40-49. doi: 10.1016/j.dadm.2016.12.004. eCollection 2017.

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