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Debra Fleischman

TitleProfessor
InstitutionRush University, Rush Medical College
DepartmentNeurological Sciences
Address
Phone 312 942 2286
Fax312 942 2297
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    Debra Fleischman, PhD, is a professor and senior scientist in the Departments of Neurological Sciences and Behavioral Sciences at Rush University Medical Center in Chicago. She is a research neuropsychologist at the Rush Alzheimer’s Disease Center and a clinical neuropsychologist at the Rush Memory Clinic. She earned her doctorate degree in clinical psychology from Rush University and completed her residency training in clinical neuropsychology at Rush University Department of Behavioral Sciences in 1988. She completed her post-doctoral clinical/research neuropsychology fellowship training at the Rush Alzheimer’s Disease Center in 1989. Dr. Fleischman is widely known for her earlier research in the area of implicit memory and aging. Her current research examines the neural substrates underlying the associations between physiological, lifestyle, and affective risk factors and cognitive and motor decline in aging. She has published in the areas of aging, Alzheimer’s disease, HIV, vascular dementia, parkinsonism and functional disability, and has employed a range of techniques from neuroimaging to neuropathology. Her research has been funded through grants from foundation, state and federal agencies, including the McDonnell-Pew Program in Cognitive Neuroscience, the Alzheimer’s Association, the Illinois Department of Public Health and the National Institute on Aging.




    My Scopus ID is 7003784556.
    My NIH COMMONS name is DFLEISCHMAN.


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    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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    1. Vojinovic D, Adams HH, Jian X, Yang Q, Smith AV, Bis JC, Teumer A, Scholz M, Armstrong NJ, Hofer E, Saba Y, Luciano M, Bernard M, Trompet S, Yang J, Gillespie NA, van der Lee SJ, Neumann A, Ahmad S, Andreassen OA, Ames D, Amin N, Arfanakis K, Bastin ME, Becker DM, Beiser AS, Beyer F, Brodaty H, Bryan RN, Bülow R, Dale AM, De Jager PL, Deary IJ, DeCarli C, Fleischman DA, Gottesman RF, van der Grond J, Gudnason V, Harris TB, Homuth G, Knopman DS, Kwok JB, Lewis CE, Li S, Loeffler M, Lopez OL, Maillard P, El Marroun H, Mather KA, Mosley TH, Muetzel RL, Nauck M, Nyquist PA, Panizzon MS, Pausova Z, Psaty BM, Rice K, Rotter JI, Royle N, Satizabal CL, Schmidt R, Schofield PR, Schreiner PJ, Sidney S, Stott DJ, Thalamuthu A, Uitterlinden AG, Valdés Hernández MC, Vernooij MW, Wen W, White T, Witte AV, Wittfeld K, Wright MJ, Yanek LR, Tiemeier H, Kremen WS, Bennett DA, Jukema JW, Paus T, Wardlaw JM, Schmidt H, Sachdev PS, Villringer A, Grabe HJ, Longstreth WT, van Duijn CM, Launer LJ, Seshadri S, Ikram MA, Fornage M. Genome-wide association study of 23,500 individuals identifies 7 loci associated with brain ventricular volume. Nat Commun. 2018 Sep 26; 9(1):3945. PMID: 30258056.
      View in: PubMed
    2. Han SD, Arfanakis K, Fleischman DA, Yu L, Bennett DA, Boyle PA. White matter correlates of temporal discounting in older adults. Brain Struct Funct. 2018 Jul 10. PMID: 29992469.
      View in: PubMed
    3. Fleischman DA, Arfanakis K, Leurgans S, Keating SM, Lamar M, Bennett DA, Adeyemi OM, Barnes LL. Neopterin is associated with hippocampal subfield volumes and cognition in HIV. Neurol Neuroimmunol Neuroinflamm. 2018 Jul; 5(4):e467. PMID: 29904644.
      View in: PubMed
    4. Arvanitakis Z, Leurgans SE, Fleischman DA, Schneider JA, Rajan KB, Pruzin JJ, Shah RC, Evans DA, Barnes LL, Bennett DA. Memory complaints, dementia, and neuropathology in older blacks and whites. Ann Neurol. 2018 Apr; 83(4):718-729. PMID: 29466839.
      View in: PubMed
    5. Zhou HH, Singh V, Johnson SC, Wahba G; Alzheimer's Disease Neuroimaging Initiative. Statistical tests and identifiability conditions for pooling and analyzing multisite datasets. Proc Natl Acad Sci USA. 2018; 115(7):1481-1486.
    6. Canli T, Yu L, Yu X, Zhao H, Fleischman D, Wilson RS, De Jager PL, Bennett DA. Loneliness 5 years ante-mortem is associated with disease-related differential gene expression in postmortem dorsolateral prefrontal cortex. Transl Psychiatry. 2018 01 10; 8(1):2. PMID: 29317593.
      View in: PubMed
    7. Klinger RY, James OG, Borges-Neto S, Bisanar T, Li YJ, Qi W, Berger M, terrrando N, Newman MF, Doraisamy PM, Mathew JP; Alzheimer's Disease Neuroimaging Initiative(ADNI) Study Group; Neurologic Outcomes Research Group (NORG). 18F-florbetapir positron emission tomography-determined cerebral B-amyloid deposition and neurocognitive performance after cardiac surgery. Anesthesiology. 2018.
    8. Guo S, Lai C, Wu C, Cen G; Alzheimer's Disease Neuroimaging Initiative. Corrigendum: Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images. Front Aging Neurosci. 2017; 9:293.
    9. Russo MJ, Campos J, Vazquez S, Sevlever G, Allegri RF; Alzheimer's Disease Neuroimaging Initiatve. 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. Front Aging Neurosci. 2017; 9:46.
    10. Munilla J, Ortiz A, Gorriz JM, Ramirez J; Alzheimer's Disease Neuroimaging Initiative. Construction and Analysis of Weighted Brain networks from SICE for the study of Alzheimer's Disease. Front Neuroinform. 2017; 11:19.
    11. Thaker AA, Weinberg BD, Dillon WP, Hess CP, Cabral HJ, Fleischman DA, Leurgans SE, Bennett DA, Hyman BT, Albert MS, Killiany RJ, Fischl B, Dale AM, Desikan RS. Entorhinal Cortex: Antemortem Cortical Thickness and Postmortem Neurofibrillary Tangles and Amyloid Pathology. AJNR Am J Neuroradiol. 2017 May; 38(5):961-965. PMID: 28279988.
      View in: PubMed
    12. Hibar DP, Adams HHH, 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 CRK, 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 DCM, 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 LMO, 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 MMJ, Van Eijk KR, Van Erp TGM, 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 AJM, De Geus EJC, 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 HHH, 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, Hulshoff Pol HE, Ikeda M, Jack CR, 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 BWJH, 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 MCV, Van der Brug M, van der Lugt A, van der Wee NJA, Van Haren NEM, 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. Novel genetic loci associated with hippocampal volume. Nat Commun. 2017 01 18; 8:13624. PMID: 28098162.
      View in: PubMed
    13. Thaker, A.A., Weinberg, B.D., Dillon, W.P., Hess, C.P., Cabral, H.J., Fleischman D.A., Leurgans, S.E., Bennett, D.A., Hyman, B.T., Albert, M.S., Killiany, R.J., Fischl, B., Dale, A.M., Desikan, R.S. Entorhinal Cortex: Antemortem Cortical Thickness and Postmortem Neurofibrillary Tangles and Amyloid Pathology. AJNR Am J Neuroradiol. doi: 10.3174/ajnr.A5133. 2017.
    14. Canli T, Wen R, Wang X, Mikhailik A, Yu L, Fleischman D, Wilson RS, Bennett DA. Differential transcriptome expression in human nucleus accumbens as a function of loneliness. Mol Psychiatry. 2017 07; 22(7):1069-1078. PMID: 27801889.
      View in: PubMed
    15. Adams HH, Hibar DP, Chouraki V, Stein JL, Nyquist PA, Rentería ME, Trompet S, Arias-Vasquez A, Seshadri S, Desrivières S, Beecham AH, Jahanshad N, Wittfeld K, Van der Lee SJ, Abramovic L, Alhusaini S, Amin N, Andersson M, Arfanakis K, Aribisala BS, Armstrong NJ, Athanasiu L, Axelsson T, Beiser A, Bernard M, Bis JC, Blanken LM, Blanton SH, Bohlken MM, Boks MP, Bralten J, Brickman AM, Carmichael O, Chakravarty MM, Chauhan G, Chen Q, Ching CR, Cuellar-Partida G, Braber AD, Doan NT, Ehrlich S, Filippi I, Ge T, Giddaluru S, Goldman AL, Gottesman RF, Greven CU, Grimm O, Griswold ME, Guadalupe T, Hass J, Haukvik UK, Hilal S, Hofer E, Hoehn D, Holmes AJ, Hoogman M, Janowitz D, Jia T, Kasperaviciute D, Kim S, Klein M, Kraemer B, Lee PH, Liao J, Liewald DC, Lopez LM, Luciano M, Macare C, Marquand A, Matarin M, Mather KA, Mattheisen M, Mazoyer B, McKay DR, McWhirter R, Milaneschi Y, Mirza-Schreiber N, Muetzel RL, Maniega SM, Nho K, Nugent AC, Loohuis LM, Oosterlaan J, Papmeyer M, Pappa I, Pirpamer L, Pudas S, Pütz B, Rajan KB, Ramasamy A, Richards JS, Risacher SL, Roiz-Santiañez R, Rommelse N, Rose EJ, Royle NA, Rundek T, Sämann PG, Satizabal CL, Schmaal L, Schork AJ, Shen L, Shin J, Shumskaya E, Smith AV, Sprooten E, Strike LT, Teumer A, Thomson R, Tordesillas-Gutierrez D, Toro R, Trabzuni D, Vaidya D, Van der Grond J, 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, Woldehawariat G, Wolf C, Wolfers T, Xu B, Yanek LR, Yang J, Zijdenbos A, Zwiers MP, Agartz I, Aggarwal NT, 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, Chen C, Cheng CY, Cichon S, Cookson MR, Corvin A, Crespo-Facorro B, Curran JE, Czisch M, Dale AM, Davies GE, De Geus EJ, De Jager PL, de Zubicaray GI, Delanty N, Depondt C, DeStefano AL, Dillman A, Djurovic S, Donohoe G, Drevets WC, Duggirala R, Dyer TD, Erk S, Espeseth T, Evans DA, Fedko IO, Fernández G, Ferrucci L, Fisher SE, Fleischman DA, Ford I, Foroud TM, Fox PT, Francks C, Fukunaga M, Gibbs JR, Glahn DC, Gollub RL, Göring HH, Grabe HJ, Green RC, Gruber O, Gudnason V, Guelfi S, 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, Hulshoff Pol HE, Ikeda M, Ikram MK, Jack CR, 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, Longstreth WT, Lopez OL, Lovestone S, Martinez O, Martinot JL, Mattay VS, McDonald C, McIntosh AM, McMahon KL, McMahon FJ, 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, Schofield PR, Sigurdsson S, Simmons A, Singleton A, Sisodiya SM, Smith C, Smoller JW, Soininen H, Srikanth V, Steen VM, Stott DJ, Sussmann JE, Thalamuthu A, Tiemeier H, Toga AW, Traynor BJ, Troncoso J, Turner JA, Tzourio C, Uitterlinden AG, Hernández MC, Van der Brug M, Van der Lugt A, Van der Wee NJ, Van Duijn CM, Van Haren NE, Van T Ent D, Van Tol MJ, Vardarajan BN, Veltman DJ, Vernooij MW, 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 HR, Zonderman AB, Deary IJ, DeCarli C, Schmidt H, Martin NG, De Craen AJ, Wright MJ, Launer LJ, Schumann G, Fornage M, Franke B, Debette S, Medland SE, Ikram MA, Thompson PM. Novel genetic loci underlying human intracranial volume identified through genome-wide association. Nat Neurosci. 2016 12; 19(12):1569-1582. PMID: 27694991.
      View in: PubMed
    16. Sabuncu, K.R., Ge, T., Holmes, A.J., Smoller, J.W., Buckner, R.L., Fischl, B.; Alzheimer's Disease Neuroimaging Initiative. Morhphometricity as a measure of the neuroanatomical signature of a trait. Proceedings of the National Academy of Sciences of the USA. 2016; 113(39):E5749-56.
    17. Boyle PA, Yu L, Fleischman DA, Leurgans S, Yang J, Wilson RS, Schneider JA, Arvanitakis Z, Arfanakis K, Bennett DA. White matter hyperintensities, incident mild cognitive impairment, and cognitive decline in old age. Ann Clin Transl Neurol. 2016 10; 3(10):791-800. PMID: 27752514.
      View in: PubMed
    18. Arfanakis K, Wilson RS, Barth CM, Capuano AW, Vasireddi A, Zhang S, Fleischman DA, Bennett DA. Cognitive activity, cognitive function, and brain diffusion characteristics in old age. Brain Imaging Behav. 2016 06; 10(2):455-63. PMID: 25982658.
      View in: PubMed
    19. Duke Han S, Boyle PA, Yu L, Arfanakis K, James BD, Fleischman DA, Bennett DA. Grey matter correlates of susceptibility to scams in community-dwelling older adults. Brain Imaging Behav. 2016 06; 10(2):524-32. PMID: 26100658.
      View in: PubMed
    20. Han SD, Boyle PA, Arfanakis K, Fleischman D, Yu L, James BD, Bennett DA. Financial literacy is associated with white matter integrity in old age. Neuroimage. 2016 Apr 15; 130:223-229. PMID: 26899784; PMCID: PMC4808430 [Available on 04/15/17].
    21. Felsky D, De Jager PL, Schneider JA, Arfanakis K, Fleischman DA, Arvanitakis Z, Honer WG, Pouget JG, Mizrahi R, Pollock BG, Kennedy JL, Bennett DA, Voineskos AN. Cerebrovascular and microglial states are not altered by functional neuroinflammatory gene variant. J Cereb Blood Flow Metab. 2016 Apr; 36(4):819-30. PMID: 26762507; PMCID: PMC4821029 [Available on 04/01/17].
    22. Lim AS, Fleischman DA, Dawe RJ, Yu L, Arfanakis K, Buchman AS, Bennett DA. Regional Neocortical Gray Matter Structure and Sleep Fragmentation in Older Adults. Sleep. 2016 Jan 01; 39(1):227-35. PMID: 26350471; PMCID: PMC4678338.
    23. Iturria-Medina, Y., Sotero, R.C., Touissant, P.J. Mateos-Perez, J.M., Evans, A.C.; Alzheimer's Disease Neuroimaging Initiative. Early role of vascular dysregulation on late-onset Alzheimer's Disease based on multifactorial data-driven analysis. Nature Communications. 2016; 7:11934.
    24. Lupton, M.K., Strike, L., Hansell, N.K., Wen, W., Mather K.A., Armstrong, N.J., Thalamuthu, A., McMahon, K.L., de Zubicaray, G. I., Assarah, A.A., Simmons, A., Proitsi, P., Powell, J.F., Montgomery, G.W., Hibar, D.P., Westman, E., Tsolaki, M., Kloszewska, I., Soininen, H., Mecocci, P., Velas, B., Lovestone, S.; Alzheimer's Disease Neuroimaging Initiative, Brodaty, H., Ames, D., Trollor, J.N., Martin, N.G., Thompson, P.M., Sachdev, P.S., Wright, M.J. The effect of increased genetic risk for Alzheimer's disease on hippocampal and amygdala volume. Neurobiology of Aging. 2016; 40:68-77.
    25. Podhorna, J., Krahnke, T., Shear, M., Harrison, J.E.; Alzheimer's Disease Neuroimaging Initiative. Alzheimer's Disease Assessment Scale-Cognitive subscale variants in mild cognitive impairment and mild Alzheimer's disease: change over time and the effect of enrichment strategies. Alzheimer's Research & Therapy. 2016; 8:8.
    26. Shokouhi, S., McKay, J. W., Baker, S.L., Kang,, H., Brill, A.B., Gwirtsman, H.E., Riddle, W.R., Claassen, D.O., Rogers, B.P.; Alzheimer's Disease Neuroimaging Initiative. Reference tissue normalization in longitudinal (18)F-florbetapir positron emission tomography of late mild cognitive impairment. Alzheimer's Research Therapy. 2016; 8:2.
    27. Schmitz T.W., Nathan Soreng R., Alzheimer's Disease Neuroimaging Initiative. Basal forebrain degeneration predicts the cortical spread of Alzheimer's pathology. Nature Communications. 2016; 7:13249.
    28. Hua, X., Ching, C.R., Mezher, A., Gutman, B.A., Hibar, D.O., Bhatt, P., Leow, A.D., Jack, C.R., Jr., Bernstein, M.A., Weiner, M.W., Thompson, P.M.; Alzheimer's Disease Neuroimaging Initiative. MRI-based brain atrophy rates in ADNI phase 2: acceleration and enrichment considerations for clinical trials. Neurobiology of Aging. 2016; 37:26-37.
    29. Deming, Yl, Xia, J., Cai, Y., Lord, J., Holmans, P., Bertelsen, S., Holtzman, D., Morris, J.C., Bales, K., pickering, E.H., Kauwe, J., Goate, A., Cruchaga, C.; Alzheimer's Disease Neuroimaging Initiative. A potential endophenotype for Alzheimer's Disease cerebrospinal fluid clusterin. Neurobiology of Aging. 2016; 37:208.
    30. David, N.D., Lin, F., Porsteinsson, A.P.; Alzheimer's Disease Neuroimaging Initiative. Trajectories of Neuropsychiatric Symptoms and Cognitive Decline in Mild Cognitive Impairment. The American Journal of Geriatric Psychiatry. 2016; 1:70-80.
    31. Weiner, M.W., Blennow, K.; Alzheimer;s Disease Neuroimaging Initiative. Association of Cerebrospinal Fluid Neurofilament Light Concentration With Alzheimer Disease Progression. JAMA Neurology. 2016; 73(1):60-7.
    32. Zhang, D.F., Li, J., Wu, H., Cui, Y., Bi, R., Zhou, H.J., Wang, H.Z., Zhang, C., Wang, D., Alzheimer's Disease Neuroimaging Initiative (ADNI), Kong, Q.P., Li, T., Fang, Y., Jiang, T., Yao, Y.G. CFH Variants Affect Structural an dFunctional Brain Changes and Genetic Risk of Alzheimer's Disease. Neuropsychopharmacology. 2016; 41(4):1034-45.
    33. Fischer, C.E., Ting, W.K., Millikin, C.P., ISmail, Z., Schweizer, T.A.; Alzheimer's Disease Neuroimaging Initiative. Gray matter atrophy in patients with mild cognitive impairment/Alzheimer's disease over the course of developing solutions. International Journal Geriatric Psychiatry. 2016; 31(1):76-82.
    34. Garcia Barrado, L., Coart, E., Burzykowski, T.; Alzheimer's Disease Neuroimaging Initiative. Development of a diagnostic test based on multiple continuous biomarkers with an imperfect reference test. Statistics in Medicine. 2016; 35(4):595-608.
    35. Arvanitakis Z, Fleischman DA, Arfanakis K, Leurgans SE, Barnes LL, Bennett DA. Association of white matter hyperintensities and gray matter volume with cognition in older individuals without cognitive impairment. Brain Struct Funct. 2016 05; 221(4):2135-46. PMID: 25833685; PMCID: PMC4592368.
    36. Fleischman DA, Yang J, Arfanakis K, Arvanitakis Z, Leurgans SE, Turner AD, Barnes LL, Bennett DA, Buchman AS. Physical activity, motor function, and white matter hyperintensity burden in healthy older adults. Neurology. 2015 Mar 31; 84(13):1294-300. PMID: 25762710; PMCID: PMC4388751.
    37. Chauhan G, Adams HHH, Bis JC, Weinstein G, Yu L, Töglhofer AM, Smith AV, van der Lee SJ, Gottesman RF, Thomson R, Wang J, Yang Q, Niessen WJ, Lopez OL, Becker JT, Phan TG, Beare RJ, Arfanakis K, Fleischman D, Vernooij MW, Mazoyer B, Schmidt H, Srikanth V, Knopman DS, Jack CR, Amouyel P, Hofman A, DeCarli C, Tzourio C, van Duijn CM, Bennett DA, Schmidt R, Longstreth WT, Mosley TH, Fornage M, Launer LJ, Seshadri S, Ikram MA, Debette S. Association of Alzheimer's disease GWAS loci with MRI markers of brain aging. Neurobiol Aging. 2015 Apr; 36(4):1765.e7-1765.e16. PMID: 25670335.
      View in: PubMed
    38. Trzepacz, P.T., Hochstetler, H., Wang, S., Walker, B., Saykin, A.J.; Alzheimer's Disease Neuroimaging Initiative. Relationship between the Montreal Cognitive Assessment and Mini-mental State Examination for assessment of mild cognitive impairment in older adults. BMC Geriatrics. 2015; 15:107.
    39. Moradi, E., Pepe, A., Gaser, C., Huttenen, H., Tohka, J.; Alzheimer's Disease Neuroimaging Initiative. Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects. Neuroimage. 2015; 104:398-412.
    40. Shi, J., Stonnington C.M., Thompson, P.M., Chen, K., Gutman, B., Reschke, C., Baxter, L.C., Reiman, E.M., Caselli, R.J., Wang, Y.; Alzheimer's Disease Neuroimaging Initiative. Studying ventricular abnormalities in mild cognitive impairment with hyperbolic Ricci flow and tensor-based morphometry. Neuroimage. 2015; 104:1-20.
    41. Savage, M.J., Holder, D.J., Wu, G., Kaplow, J., Siuciak, J.A., Potter, W.Z.; Foundation for the National Institutes of Health (FNIH) Biomarkers Consortium CSF Proteomics Project Team for the Alzheimer's Disease Neuroimaging Initiative. Soluble BACE-1 Activity and sAßPPß Concentrations in Alzheimer's Disease and Age-Matched Healthy Control Cerebrospinal Fluid from the Alzheimer's Disease Neuroimaging Initiative-1 Baseline Cohort. Journal of Alzheimer's Disease. 2015; 46(2):431-40.
    42. Chen R1, Herskovits EH2; Alzheimer's Disease Neuroimaging Initiative. Predictive structural dynamic network analysis. Journal of Neuroscience Methods. 2015; 245:58-63.
    43. Cheng, B., Liu, M., Suk, H.I., Shen, D., Zhang, D.; Alzheimer's Disease Neuroimaging Initiative. Multimodal manifold-regularized transfer learning for MCI conversion prediction. Brain Imaging Behavior. 2015; 9(4):913-26.
    44. Romero, K., Ito, K., Rogers, J.A., Polhamus, D., Qiu, R., Stephenson D., Mohs, R., Lalonde, R., Sinha, V., Wang, Y., Brown, D., Isaac, M., Vamvakas, S., HEmmings, R., Pani, L., Bain, L.J., Corrigan, B.; Alzheimer's Disease Neuroimaging Initiative; Coalition Against Major Disease. The future is now: model-based clinical trial design for Alzheimer's disease. Clinical Pharmacology Therapeutics. 2015; 97(3):210-4.
    45. Brendel, M., Högenauer, M., Delker, A., Sauerbeck, J., Bartstein, P., Seibyl, J., Rominger, A.; Alzheimer's Disease Neuroimaging Initiatve. Improved Longitudinal [(18)F]-AV45 amyloid PET by white matter reference and VOI-based partial volume effect correction. Neuroimage. 2015; 108:450-9.
    46. Leung, K.K., Malone, I.M., Ourseling, S., Gunter, J.L., Bernstein, M.A., Thompson, P.M., Jack, C.R., Jr., Weiner, M.W., Fox, N.C.; Alzheimer's Disease Neuroimaging Initiative. Effects of changing from non-accelerated MRI for follow-up in brain atrophy measurement. Neuroimage. 2015; 107:46-53.
    47. Dowling, N.M., Johnson, S.C., Gleason, C.E., Jagust, W.J.; Alzheimer's Disease Neuroimaging Initiative. The meditational effects of FDG hypometabolism on the association between cerebrospinal fluid biomarkers and neurocognitive function. Neuroimage. 2015; 105:357-68.
    48. Toledo, J.B., Zetterberg, H., van Harten, A.C., Glodzik, L., Martinez-Lage, P., Bocchio-Chiavetto, L., Rami, L., Hansson, O., Sperling, R., Engelborghs, S., Osorio, R.S., Vanderstichele, H., Vandijck, M., Hampel, H., Teipl, S., Moghekar, A., Albert, M., Hu, W.T., Monge Argilés, J.A., Gorostidi, A., Teunissen, C.E., De Deyn, P.P., Hyman, B.T., Molineuvo, J.L., Frisoni, G.B., Linazasoro, G., de Leon, M.J., van der Flier, W.M., Scheltens, P., Blennow, K., Shaw, L.M., Trojanowski, J.Q.; Alzheimer's Disease Neuroimaging Initiative. Alzheimer's disease cerebrospinal fluid biomarker in cognitively normal subjects. Brain. 2015; 138(Pt9):2701-15.
    49. Gifford, K.A., Phillips, J.S., Samuels, L.R., Lane, E.M., Bell, S.P., Liu, D., Hohman, T.J., Romano, R.R., 3rd, Fritzsche, L.R., Lu, Z., Jefferson, A.L.; Alzheimer's Disease Neuroimaging Initiative. Associations between Verbal Learning Slope and Neuroimaging Markers across the Cognitive Aging Spectrum. Journal of the International Neuropsychological Society. 2015; 21(6):51-68.
    50. Ziegler, G., Penny, W.D., Ridway, G.R, Ourslin, S., Friston, K.J.; Alzheimer's Disease Neuroimaging Initiative. Estimating anatomical trajectories with Bayesian mixed-effects modeling. Neuroimage. 2015; 121:51-68.
    51. Malpas, C.B., Saling, M.M., Velakoulis, D., Desmond, P., Hicks, R.J., O'Brien, T.J.; Alzheimer's Disease Neuroimaging Initiative. Longitudinal Partial Volume Correction in 2-[18F]-Fluoro-2-Deoxy-D-Glucose Positron Emission Tomography Studies of Alzheimer Disease. Journal of Computer Assisted Tomography. 2015; 39(4):559-64.
    52. Yao, Z., Hu, B., Zheng, J., Zheng, W., Chen, X., Gao, X., Xie, Y., Fang, L.; Alzheimer's Disease Neuroimaging Initiative. A FDG-PET Study of Metabolic Networks in Apolipoprotein E ?4 Allele Carriers. PLoS One. 2015; 10(7):e0132300.
    53. Daianu, M., Jahanshad, N., Nir, T.M., Jack, C.R., Jr., Weiner, M.W., Bernstein, M.A., Thompson, P.M.; Alzheimer's Disease Neuroimaging Initiative. Rich club analysis in the Alzheimer's disease connectome reveals a relatively undisturbed structural core network. Human Brain Mapping. 2015; 36(8):3087-103.
    54. Ayton, S., Faux, N.G., Bush, A.I.; Alzheimer's Disease Neuroimaging Initiative. Ferritin levels in the cerebrospinal fluid predict Alzheimer's disease outcomes and are regulated by APOE. Nature Communications. 2015; 6:6760.
    55. Li, R., Perneczky, R., Yakushev, I., Förster, S., Kurz, A., Drzezga, A., Kramer, S.; Alzheimer's Disease Neuroimaging Initiative. Gaussian Mixture Models and Model Selection for [18F] Fluorodeoxyglucose Positron Emission Tomography Classification in Alzheimer's disease. PLoS One. 2015; 10(4):e0122731.
    56. Wisse, L.E., Butala, N., Das, S.R., Davatzikos, C., Dickerson, B.C., Vaishnavi, S.N., Yushkevich, P.A., Wolk, D.A.; Alzheimer's Disease Neuroimaging Initiative . Suspected non-AD pathology in mild cognitive impairment. Neurobiology of Aging. 2015; 36(12):3152-62.
    57. Jiang, J., Duan, H., Huang, Z., Yu, Z.; Alzheimer's Disease Neuroimaging Initiative. Study of amyloid-B peptide functional brain networks in AD, MCI, and HC. Biomedical Materials and Engineering. 2015; 26 Suppl 1:S2197-205.
    58. Wang, C., Tan, L., Wang, H.F., Yu, W.J., Liu, Y., Jiang, T., Tan, M.S., Hao, X.K., Zhang, D.Q., Yu, J.T.; Alzheimer's Disease Neuroimaging Initiative. Common Variants in PLD3 and Correlation to Amyloid-Related Phenotypes in Alzheimer's Disease. Journal of Alzheimer's Disease. 2015; 46(2):491-5.
    59. Zhan, Y., Chen, K., Wu, X., Zhang, J., Yao, L., Guo, X.; Alzheimer's Disease Neuroimaging Initiative. Identification of Conversion from Normal Elderly Cognition to Alzheimer's Disease using Multimodal Support Vector Machine. Journal of Alzheimer's Disease. 2015; 47(4):1057-67.
    60. Malpas, C.B., Saling, M.M., Velakoulis, D., Desmond, P., O'Brien, T.J.; Alzheimer's Disease Neuroimaging Initiative. Tau and Amyloid-B Cerebrospinal Fluid Biomarkers have Differential Relationships with Cognition in Mild Cognitive Impairment. Journal of Alzheimer's Disease. 2015; 47(4):965-75.
    61. Klöppel, S., Peter, J., Ludl, A., Pilatus, A., Maeir, S., Mader, I., Heimbach, B., Frings, L., Egger, K., Dukart, J., Schroeter, M.L., Perneczky, R., Häussermann, P., Vach, W., Urbach, H., Teibel, S., Hüll, M., Abdulkadir, A.; Alzheimer's Disease Neuroimaging Initiative. Applying Automated MR-Based Diagnostic Methods to the Memory Clinic: A Prospective Study. Journal of Alzheimer's Disease. 2015; 47(4):939-54.
    62. Michaud, T.L., Kane, R.L., McCarten, J.R., Gaugler, J.E., Nyman, J.A., Kuntz, K.M.; Alzheimer's Disease Neuroimaging Initiative . Risk Stratification Using Cerebrospinal Fluid Biomarkers in Patients with Mild Cognitive Impairment: An Exploratory Analysis. Journal of Alzheimer's Disease. 2015; 47(3):729-40.
    63. Chung, J.K., Plitman, E., Nakajima, S., Chakravarty, M.M., Caravagio, F., Gerretsen, P., Iwata, Y., Graff-Guerrero, A.; Alzheimer's Disease Neuroimaging Initiative. Cortical Amyloid ß Deposition and Current Depressive Symptoms in Alzheimer Disease and Mild Cognitive Impairment. Journal of Geriatric Psychiatry and Neurology. 2015; 29(3):149-59.
    64. Kim, J., Pan, W.; Alzheimer's Disease Neuroimaging Initiative. Highly Adaptive tests for group differences in brain functional connectivity. NeuroImage Clinical. 2015; 9:625-39.
    65. Han SD, Boyle PA, Yu L, Fleischman DA, Arfanakis K, Leurgans S, Bennett DA. Financial literacy is associated with medial brain region functional connectivity in old age. Arch Gerontol Geriatr. 2014 Sep-Oct; 59(2):429-38. PMID: 24893911; PMCID: PMC4130771.
    66. Shah RC, Matthews DC, Andrews RD, Capuano AW, Fleischman DA, VanderLugt JT, Colca JR. An evaluation of MSDC-0160, a prototype mTOT modulating insulin sensitizer, in patients with mild Alzheimer's disease. Curr Alzheimer Res. 2014; 11(6):564-73. PMID: 24931567; PMCID: PMC4153084.
    67. Iturria-Medina, Y., Sotero, R.C., Touissant, P.J., Evans, A.C.; Alzheimer's Disease Neuroimaging Initiative. Epidemic spreading model to characterize misfolded proteins propagation in aging and associated neurodegenerative disorders. Computational Biology. 2014; 10(11):e1003956.
    68. Edmonds, E.C., Delano-Wood, L., Galasko, D.R., Salmon, D.P., Bondi, M.W.; Alzheimer's Disease Neuroimaging Initiative. Subjective cognitive complaints contribute to misdiagnosis of mild cognitive impairment. Journal of the International Neuropsychological Society. 2014; 20(8):836-47.
    69. Paterson, R.W., Bartlett, J.W., Blennow, K., Fox, N.C.; Alzheimer's Disease Neuroimaging Initiative, Shaw, L.M., Trojanowski, J.Q., Zetterberg, H., Schott, J.M. Cerebrospinal fluid markers including trefoil factor 3 are associated with neurodegeneration in amyloid-positive individuals. Translational Psychiatry. 2014; 4:e419.
    70. Zhong, Y., Huang, L., Cai, S., Zhang, Y., von Deneen, K.M., Ren, A., Ren, J.; Alzheimer's Disease Neuroimaging Initiative. Altered effective connectivity patterns of the default mode network in Alzheimer's disease: an fMRI study. Neuroscience Letters. 2014; 578:171-5.
    71. Pérez-Palma, E., Bustos, B.I., Villamàn, C.F., Alarcon, M.A., Avilva, M.E., Ugarte, G.D., Reyes, A.E., Opazo, C., De Ferrari, G.V.; Alzheimer's Disease Neuroimaging Initiative; NIA-LOAD/NCRAD Family Study Group. Overrepresentation of glutamate signaling in Alzheimer's disease: network-based pathway enrichment using meta-analysis of genome-wide association studies. PLoS One. 2014; 9(4):e95413.
    72. Ortiz, A., Gòrriz, J.M., Ramirez, J., Martinez-Murcia, F.J.; Alzheimer's Disease Neuroimaging Initiative. Automatic ROI selection in structural brain MRI using SOM 3D projection. PLoS One. 2014; 9(4):e93851.
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    75. Han SD, Boyle PA, Yu L, Fleischman DA, Arfanakis K, Bennett DA. Ventromedial PFC, parahippocampal, and cerebellar connectivity are associated with temporal discounting in old age. Exp Gerontol. 2013 Dec; 48(12):1489-98. PMID: 24135750; PMCID: PMC3855854.
    76. Arfanakis K, Fleischman DA, Grisot G, Barth CM, Varentsova A, Morris MC, Barnes LL, Bennett DA. Systemic inflammation in non-demented elderly human subjects: brain microstructure and cognition. PLoS One. 2013; 8(8):e73107. PMID: 23991174; PMCID: PMC3753267.
    77. Fleischman DA, Leurgans S, Arfanakis K, Arvanitakis Z, Barnes LL, Boyle PA, Han SD, Bennett DA. Gray-matter macrostructure in cognitively healthy older persons: associations with age and cognition. Brain Struct Funct. 2014 Nov; 219(6):2029-49. PMID: 23955313; PMCID: PMC3926914.
    78. Fleischman DA, Yu L, Arfanakis K, Han SD, Barnes LL, Arvanitakis Z, Boyle PA, Bennett DA. Faster cognitive decline in the years prior to MR imaging is associated with smaller hippocampal volumes in cognitively healthy older persons. Front Aging Neurosci. 2013; 5:21. PMID: 23760360; PMCID: PMC3672675.
    79. Mattsson, N., Insel, P., Tosun, D., Zhang, J., Jack, C.R., Jr., Galasko, D., Weiner, M.; Alzheimer's Disease Neuroimaging Initiative. Effects of baseline CSF a-synuclein on regional brain atrophy rates in healthy elders, mild cognitive impairment and Alzheimer's disease. 2013; 8(12):e85443.
    80. Duke Han S, Buchman AS, Arfanakis K, Fleischman DA, Bennett DA. Functional connectivity networks associated with chronic musculoskeletal pain in old age. Int J Geriatr Psychiatry. 2013 Aug; 28(8):858-67. PMID: 23124844; PMCID: PMC3594549.
    81. Arvanitakis Z, Brey RL, Rand JH, Schneider JA, Leurgans SE, Yu L, Buchman AS, Arfanakis K, Fleischman DA, Boyle PA, Bennett DA, Levine SR. Antiphospholipid antibodies, brain infarcts, and cognitive and motor decline in aging (ABICMA): design of a community-based, longitudinal, clinical-pathological study. Neuroepidemiology. 2013; 40(2):73-84. PMID: 23095514; PMCID: PMC3638838.
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