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Items: 1 to 20 of 799

1.

 Cortical Atrophy is Associated with Accelerated Cognitive Decline in Mild Cognitive Impairment with Subsyndromal Depression.

Gonzales MM, Insel PS, Nelson C, Tosun D, Mattsson N, Mueller SG, Sacuiu S, Bickford D, Weiner MW, Mackin RS; Alzheimer's Disease Neuroimaging Initiative.

Am J Geriatr Psychiatry. 2017 Apr 20. pii: S1064-7481(17)30303-2. doi: 10.1016/j.jagp.2017.04.011. [Epub ahead of print]

PMID:
28629965
2.

Association Between Elevated Brain Amyloid and Subsequent Cognitive Decline Among Cognitively Normal Persons.

Donohue MC, Sperling RA, Petersen R, Sun CK, Weiner MW, Aisen PS; Alzheimer’s Disease Neuroimaging Initiative.

JAMA. 2017 Jun 13;317(22):2305-2316. doi: 10.1001/jama.2017.6669.

PMID:
28609533
3.

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.

4.

Time to Amyloid Positivity and Preclinical Changes in Brain Metabolism, Atrophy, and Cognition: Evidence for Emerging Amyloid Pathology in Alzheimer's Disease.

Insel PS, Ossenkoppele R, Gessert D, Jagust W, Landau S, Hansson O, Weiner MW, Mattsson N; Alzheimer's Disease Neuroimaging Initiative.

Front Neurosci. 2017 May 17;11:281. doi: 10.3389/fnins.2017.00281. eCollection 2017.

5.

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.

PMID:
28550246
6.

Data-driven regions of interest for longitudinal change in three variants of frontotemporal lobar degeneration.

Binney RJ, Pankov A, Marx G, He X, McKenna F, Staffaroni AM, Kornak J, Attygalle S, Boxer AL, Schuff N, Gorno-Tempini ML, Weiner MW, Kramer JH, Miller BL, Rosen HJ.

Brain Behav. 2017 Mar 23;7(4):e00675. doi: 10.1002/brb3.675. eCollection 2017 Apr.

7.

Neuropsychiatric symptoms predict hypometabolism in preclinical Alzheimer disease.

Ng KP, Pascoal TA, Mathotaarachchi S, Chung CO, Benedet AL, Shin M, Kang MS, Li X, Ba M, Kandiah N, Rosa-Neto P, Gauthier S; Alzheimer's Disease Neuroimaging Initiative.

Neurology. 2017 May 9;88(19):1814-1821. doi: 10.1212/WNL.0000000000003916. Epub 2017 Apr 12.

8.

Adding Recognition Discriminability Index to the Delayed Recall Is Useful to Predict Conversion from Mild Cognitive Impairment to Alzheimer's Disease in the Alzheimer's Disease Neuroimaging Initiative.

Russo MJ, Campos J, Vázquez S, Sevlever G, Allegri RF; Alzheimer's Disease Neuroimaging Initiative.

Front Aging Neurosci. 2017 Mar 10;9:46. doi: 10.3389/fnagi.2017.00046. eCollection 2017.

9.

Construction and Analysis of Weighted Brain Networks from SICE for the Study of Alzheimer's Disease.

Munilla J, Ortiz A, Górriz JM, Ramírez J; Alzheimer's Disease Neuroimaging Initiative.

Front Neuroinform. 2017 Mar 10;11:19. doi: 10.3389/fninf.2017.00019. eCollection 2017.

10.

Recent publications from the Alzheimer's Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials.

Weiner MW, Veitch DP, Aisen PS, Beckett LA, Cairns NJ, Green RC, Harvey D, Jack CR Jr, Jagust W, Morris JC, Petersen RC, Saykin AJ, Shaw LM, Toga AW, Trojanowski JQ; Alzheimer's Disease Neuroimaging Initiative.

Alzheimers Dement. 2017 Apr;13(4):e1-e85. doi: 10.1016/j.jalz.2016.11.007. Epub 2017 Mar 22. Review.

PMID:
28342697
11.

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 MY, 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 Mar 21. pii: S1552-5260(17)30046-8. doi: 10.1016/j.jalz.2017.01.020. [Epub ahead of print]

PMID:
28341160
12.

Association between tau deposition and antecedent amyloid-β accumulation rates in normal and early symptomatic individuals.

Tosun D, Landau S, Aisen PS, Petersen RC, Mintun M, Jagust W, Weiner MW; Alzheimer’s Disease Neuroimaging Initiative.

Brain. 2017 Mar 17. doi: 10.1093/brain/awx046. [Epub ahead of print]

PMID:
28334939
13.

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.

14.

Fractional anisotropy derived from the diffusion tensor distribution function boosts power to detect Alzheimer's disease deficits.

Nir TM, Jahanshad N, Villalon-Reina JE, Isaev D, Zavaliangos-Petropulu A, Zhan L, Leow AD, Jack CR Jr, Weiner MW, Thompson PM; Alzheimer's Diseaase Neuroimaginng Initiative (ADNI).

Magn Reson Med. 2017 Mar 7. doi: 10.1002/mrm.26623. [Epub ahead of print]

PMID:
28266059
15.

Genome-wide association study identifies MAPT locus influencing human plasma tau levels.

Chen J, Yu JT, Wojta K, Wang HF, Zetterberg H, Blennow K, Yokoyama JS, Weiner MW, Kramer JH, Rosen H, Miller BL, Coppola G, Boxer AL; Alzheimer's Disease Neuroimaging Initiative.

Neurology. 2017 Feb 14;88(7):669-676. doi: 10.1212/WNL.0000000000003615. Epub 2017 Jan 18.

PMID:
28100725
16.

Novel genetic loci associated with hippocampal volume.

Hibar DP, Adams HH, Jahanshad N, Chauhan G, Stein JL, Hofer E, Renteria ME, Bis JC, Arias-Vasquez A, Ikram MK, Desrivières S, Vernooij MW, Abramovic L, Alhusaini S, Amin N, Andersson M, Arfanakis K, Aribisala BS, Armstrong NJ, Athanasiu L, Axelsson T, Beecham AH, Beiser A, Bernard M, Blanton SH, Bohlken MM, Boks MP, Bralten J, Brickman AM, Carmichael O, Chakravarty MM, Chen Q, Ching CR, Chouraki V, Cuellar-Partida G, Crivello F, Den Braber A, Doan NT, Ehrlich S, Giddaluru S, Goldman AL, Gottesman RF, Grimm O, Griswold ME, Guadalupe T, Gutman BA, Hass J, Haukvik UK, Hoehn D, Holmes AJ, Hoogman M, Janowitz D, Jia T, Jørgensen KN, Karbalai N, Kasperaviciute D, Kim S, Klein M, Kraemer B, Lee PH, Liewald DC, Lopez LM, Luciano M, Macare C, Marquand AF, Matarin M, Mather KA, Mattheisen M, McKay DR, Milaneschi Y, Muñoz Maniega S, Nho K, Nugent AC, Nyquist P, Loohuis LM, Oosterlaan J, Papmeyer M, Pirpamer L, Pütz B, Ramasamy A, Richards JS, Risacher SL, Roiz-Santiañez R, Rommelse N, Ropele S, Rose EJ, Royle NA, Rundek T, Sämann PG, Saremi A, Satizabal CL, Schmaal L, Schork AJ, Shen L, Shin J, Shumskaya E, Smith AV, Sprooten E, Strike LT, Teumer A, Tordesillas-Gutierrez D, Toro R, Trabzuni D, Trompet S, Vaidya D, Van der Grond J, Van der Lee SJ, Van der Meer D, Van Donkelaar MM, Van Eijk KR, Van Erp TG, Van Rooij D, Walton E, Westlye LT, Whelan CD, Windham BG, Winkler AM, Wittfeld K, Woldehawariat G, Wolf C, Wolfers T, Yanek LR, Yang J, Zijdenbos A, Zwiers MP, Agartz I, Almasy L, Ames D, Amouyel P, Andreassen OA, Arepalli S, Assareh AA, Barral S, Bastin ME, Becker DM, Becker JT, Bennett DA, Blangero J, van Bokhoven H, Boomsma DI, Brodaty H, Brouwer RM, Brunner HG, Buckner RL, Buitelaar JK, Bulayeva KB, Cahn W, Calhoun VD, Cannon DM, Cavalleri GL, Cheng CY, Cichon S, Cookson MR, Corvin A, Crespo-Facorro B, Curran JE, Czisch M, Dale AM, Davies GE, De Craen AJ, De Geus EJ, De Jager PL, De Zubicaray GI, Deary IJ, Debette S, DeCarli C, Delanty N, Depondt C, DeStefano A, Dillman A, Djurovic S, Donohoe G, Drevets WC, Duggirala R, Dyer TD, Enzinger C, Erk S, Espeseth T, Fedko IO, Fernández G, Ferrucci L, Fisher SE, Fleischman DA, Ford I, Fornage M, Foroud TM, Fox PT, Francks C, Fukunaga M, Gibbs JR, Glahn DC, Gollub RL, Göring HH, Green RC, Gruber O, Gudnason V, Guelfi S, Håberg AK, Hansell NK, Hardy J, Hartman CA, Hashimoto R, Hegenscheid K, Heinz A, Le Hellard S, Hernandez DG, Heslenfeld DJ, Ho BC, Hoekstra PJ, Hoffmann W, Hofman A, Holsboer F, Homuth G, Hosten N, Hottenga JJ, Huentelman M, Pol HE, Ikeda M, Jack CR Jr, Jenkinson M, Johnson R, Jönsson EG, Jukema JW, Kahn RS, Kanai R, Kloszewska I, Knopman DS, Kochunov P, Kwok JB, Lawrie SM, Lemaître H, Liu X, Longo DL, Lopez OL, Lovestone S, Martinez O, Martinot JL, Mattay VS, McDonald C, McIntosh AM, McMahon FJ, McMahon KL, Mecocci P, Melle I, Meyer-Lindenberg A, Mohnke S, Montgomery GW, Morris DW, Mosley TH, Mühleisen TW, Müller-Myhsok B, Nalls MA, Nauck M, Nichols TE, Niessen WJ, Nöthen MM, Nyberg L, Ohi K, Olvera RL, Ophoff RA, Pandolfo M, Paus T, Pausova Z, Penninx BW, Pike GB, Potkin SG, Psaty BM, Reppermund S, Rietschel M, Roffman JL, Romanczuk-Seiferth N, Rotter JI, Ryten M, Sacco RL, Sachdev PS, Saykin AJ, Schmidt R, Schmidt H, Schofield PR, Sigursson S, Simmons A, Singleton A, Sisodiya SM, Smith C, Smoller JW, Soininen H, Steen VM, Stott DJ, Sussmann JE, Thalamuthu A, Toga AW, Traynor BJ, Troncoso J, Tsolaki M, Tzourio C, Uitterlinden AG, Hernández MC, Van der Brug M, van der Lugt A, van der Wee NJ, Van Haren NE, van 't Ent D, Van Tol MJ, Vardarajan BN, Vellas B, Veltman DJ, Völzke H, Walter H, Wardlaw JM, Wassink TH, Weale ME, Weinberger DR, Weiner MW, Wen W, Westman E, White T, Wong TY, Wright CB, Zielke RH, Zonderman AB, Martin NG, Van Duijn CM, Wright MJ, Longstreth WT, Schumann G, Grabe HJ, Franke B, Launer LJ, Medland SE, Seshadri S, Thompson PM, Ikram MA.

Nat Commun. 2017 Jan 18;8:13624. doi: 10.1038/ncomms13624.

17.

Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer's disease.

Huang M, Yang W, Feng Q, Chen W; Alzheimer’s Disease Neuroimaging Initiative.

Sci Rep. 2017 Jan 12;7:39880. doi: 10.1038/srep39880.

18.

A large-scale comparison of cortical thickness and volume methods for measuring Alzheimer's disease severity.

Schwarz CG, Gunter JL, Wiste HJ, Przybelski SA, Weigand SD, Ward CP, Senjem ML, Vemuri P, Murray ME, Dickson DW, Parisi JE, Kantarci K, Weiner MW, Petersen RC, Jack CR Jr; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage Clin. 2016 May 30;11:802-812. doi: 10.1016/j.nicl.2016.05.017. eCollection 2016.

19.

The Alzheimer's Disease Neuroimaging Initiative 3: Continued innovation for clinical trial improvement.

Weiner MW, Veitch DP, Aisen PS, Beckett LA, Cairns NJ, Green RC, Harvey D, Jack CR Jr, Jagust W, Morris JC, Petersen RC, Salazar J, Saykin AJ, Shaw LM, Toga AW, Trojanowski JQ; Alzheimer's Disease Neuroimaging Initiative.

Alzheimers Dement. 2017 May;13(5):561-571. doi: 10.1016/j.jalz.2016.10.006. Epub 2016 Dec 5. Review.

PMID:
27931796
20.

Medial temporal lobe subregional morphometry using high resolution MRI in Alzheimer's disease.

Wolk DA, Das SR, Mueller SG, Weiner MW, Yushkevich PA; Alzheimer's Disease Neuroimaging Initiative.

Neurobiol Aging. 2017 Jan;49:204-213. doi: 10.1016/j.neurobiolaging.2016.09.011. Epub 2016 Sep 30.

PMID:
27836336

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