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  • Andrew Saykin
2017

New probabilistic multi-graph decomposition model to identify consistent human brain network modules

Luo, D., Huo, Z., Wang, Y., Saykin, A., Shen, L. & Huang, H., Jan 31 2017, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Institute of Electrical and Electronics Engineers Inc., p. 301-310 10 p. 7837854

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations
2018

Towards subject and diagnostic identifiability in the alzheimer’s disease spectrum based on functional connectomes

Svaldi, D. O., Goñi, J., Bharthur Sanjay, A., Amico, E., Risacher, S. L., West, J. D., Dzemidzic, M., Saykin, A. & Apostolova, L., Jan 1 2018, Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities - 2nd International Workshop, GRAIL 2018 and 1st International Workshop, Beyond MIC 2018 Held in Conjunction with MICCAI 2018, Proceedings. Stoyanov, D., Sotiras, A., Papiez, B., Dalca, A. V., Martel, A., Parisot, S., Ferrante, E., Maier-Hein, L., Sabuncu, M. R., Shen, L. & Taylor, Z. (eds.). Springer Verlag, p. 74-82 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11044 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations
2017

BECA: A Software Tool for Integrated Visualization of Human Brain Data

Li, H., Fang, S., Zigon, B., Sporns, O., Saykin, A. J., Goñi, J. & Shen, L., Jan 1 2017, Brain Informatics - International Conference, BI 2017, Proceedings. Zeng, Y., Xu, B., Martone, M., He, Y., Peng, H., Luo, Q. & Kotaleski, J. H. (eds.). Springer Verlag, p. 285-291 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10654 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Longitudinal genotype-phenotype association study via temporal structure auto-learning predictive model

The ADNI, Jan 1 2017, Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings. Sahinalp, S. C. (ed.). Springer Verlag, p. 287-302 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10229 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Predicting interrelated Alzheimer’s disease outcomes via new self-learned structured low-rank model

Wang, X., Liu, K., Yan, J., Risacher, S. L., Saykin, A. J., Shen, L. & Huang, H., Jan 1 2017, Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings. Zhu, H., Niethammer, M., Styner, M., Zhu, H., Shen, D., Yap, P-T., Aylward, S. & Oguz, I. (eds.). Springer Verlag, p. 198-209 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10265 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

A fast SCCA algorithm for big data analysis in brain imaging genetics

Alzheimer’s Disease Neuroimaging Initiative, 2017, Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - 1st International Workshop, GRAIL 2017 6th International Workshop, MFCA 2017 and 3rd International Workshop, MICGen 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer Verlag, Vol. 10551 LNCS. p. 210-219 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10551 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics

Du, L., Zhang, T., Liu, K., Yao, X., Yan, J., Risacher, S. L., Guo, L., Saykin, A. & Shen, L., Jan 17 2017, Proceedings - 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016. Institute of Electrical and Electronics Engineers Inc., p. 707-711 5 p. 7822605

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations
2016

Genomics and CSF analyses implicate thyroid hormone in hippocampal sclerosis of aging

Nelson, P. T., Katsumata, Y., Nho, K., Artiushin, S. C., Jicha, G. A., Wang, W. X., Abner, E. L., Saykin, A., Kukull, W. A., Alzheimer’s Disease Neuroimaging Initiative (ADNI), D. N. I. ADNI. & Fardo, D. W., Dec 1 2016, In : Acta Neuropathologica. 132, 6, p. 841-858 18 p.

Research output: Contribution to journalArticle

12 Scopus citations
2018

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

Risacher, S. L., Farlow, M. R., Bateman, D. R., Epperson, F., Tallman, E. F., Richardson, R., Murrell, J. R., Unverzagt, F. W., Apostolova, L. G., Bonnin, J. M., Ghetti, B. & Saykin, A. J., Oct 29 2018, In : Acta neuropathologica communications. 6, 1, 1 p.

Research output: Contribution to journalArticle

1 Scopus citations

Utility of perfusion PET measures to assess neuronal injury in Alzheimer's disease

Dominantly Inherited Alzheimer Network, Jan 1 2018, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 10, p. 669-677 9 p.

Research output: Contribution to journalArticle

1 Scopus citations
2020

Effects of chemotherapy on aging white matter microstructure: A longitudinal diffusion tensor imaging study

Chen, B. T., Ye, N., Wong, C. W., Patel, S. K., Jin, T., Sun, C. L., Rockne, R. C., Kim, H., Root, J. C., Saykin, A. J., Ahles, T. A., Holodny, A. I., Prakash, N., Mortimer, J., Sedrak, M. S., Waisman, J., Yuan, Y., Li, D., Vazquez, J., Katheria, V. & 1 others, Dale, W., Mar 2020, In : Journal of Geriatric Oncology. 11, 2, p. 290-296 7 p.

Research output: Contribution to journalArticle

2016

Structured sparse canonical correlation analysis for brain imaging genetics: An improved GraphNet method

Du, L., Huang, H., Yan, J., Kim, S., Risacher, S. L., Inlow, M., Moore, J. H., Saykin, A. J. & Shen, L., May 15 2016, In : Bioinformatics. 32, 10, p. 1544-1551 8 p.

Research output: Contribution to journalArticle

35 Scopus citations

Reliable change in neuropsychological assessment of breast cancer survivors

Andreotti, C., Root, J. C., Schagen, S. B., McDonald, B. C., Saykin, A. J., Atkinson, T. M., Li, Y. & Ahles, T. A., Jan 1 2016, In : Psycho-Oncology. 25, 1, p. 43-50 8 p.

Research output: Contribution to journalArticle

17 Scopus citations
2017

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, S. L., Saykin, A., Shen, L. & Zhang, D., Mar 14 2017, In : Scientific Reports. 7, 44272.

Research output: Contribution to journalArticle

7 Scopus citations
2018

Rare variants in the splicing regulatory elements of EXOC3L4 are associated with brain glucose metabolism in Alzheimer's disease 06 Biological Sciences 0604 Genetics

Miller, J. E., Shivakumar, M. K., Lee, Y., Han, S., Horgousluoglu, E., Risacher, S. L., Saykin, A. J., Nho, K. & Kim, D., Sep 14 2018, In : BMC Medical Genomics. 11, 76.

Research output: Contribution to journalArticle

2 Scopus citations

Bootstrapped Sparse Canonical Correlation Analysis: Mining Stable Imaging and Genetic Associations With Implicit Structure Learning. Mining Stable Imaging and Genetic Associations With Implicit Structure Learning.

Yan, J., Du, L., Kim, S., Risacher, S. L., Huang, H., Inlow, M., Moore, J. H., Saykin, A. J. & Shen, L., Jan 1 2018, Imaging Genetics. Elsevier Inc., p. 101-117 17 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

2016

Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: A study of ADNI cohorts

Song, A., Yan, J., Kim, S., Risacher, S. L., Wong, A. K., Saykin, A. J., Shen, L. & Greene, C. S., Jan 19 2016, In : BioData Mining. 9, 1, 3.

Research output: Contribution to journalArticle

14 Scopus citations

Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer’s Disease

Hao, X., Yao, X., Yan, J., Risacher, S. L., Saykin, A. J., Zhang, D., Shen, L. & for the Alzheimer’s Disease Neuroimaging Initiative, T. A. D. N. I., Oct 1 2016, In : Neuroinformatics. 14, 4, p. 439-452 14 p.

Research output: Contribution to journalArticle

11 Scopus citations
2020

Resting-state fMRI metrics in acute sport-related concussion and their association with clinical recovery: A study from the NCAA-DOD CARE consortium

Meier, T. B., Giraldo-Chica, M., España, L. Y., Mayer, A. R., Harezlak, J., Nencka, A. S., Wang, Y., Koch, K. M., Wu, Y. C., Saykin, A. J., Giza, C. C., Goldman, J., Difiori, J. P., Guskiewicz, K. M., Mihalik, J. P., Brooks, A., Broglio, S. P., McAllister, T. & McCrea, M. A., Jan 1 2020, In : Journal of neurotrauma. 37, 1, p. 152-162 11 p.

Research output: Contribution to journalArticle

1 Scopus citations
2016
13 Scopus citations
2017

Brain explorer for connectomic analysis

for the Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2017, In : Brain Informatics. 4, 4, p. 253-269 17 p.

Research output: Contribution to journalArticle

1 Scopus citations

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

Alzheimer's Disease Neuroimaging Initiative, Jan 1 2017, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 6, p. 196-200 5 p.

Research output: Contribution to journalArticle

7 Scopus citations
2016

Functional neuroanatomical correlates of episodic memory impairment in early phase psychosis

Francis, M. M., Hummer, T. A., Vohs, J. L., Yung, M. G., Liffick, E., Mehdiyoun, N. F., Radnovich, A. J., McDonald, B. C., Saykin, A. J. & Breier, A., Mar 1 2016, In : Brain Imaging and Behavior. 10, 1, p. 1-11 11 p.

Research output: Contribution to journalArticle

8 Scopus citations
2018

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

Alzheimer's Disease Neuroimaging Initiative, 2018, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 10, p. 322-331 10 p.

Research output: Contribution to journalArticle

8 Scopus citations

Exome chip analysis identifies low-frequency and rare variants in MRPL38 for white matter hyperintensities on brain magnetic resonance imaging

neuroCHARGE Working Group, Jan 1 2018, In : Stroke. 49, 8, p. 1812-1819 8 p.

Research output: Contribution to journalArticle

3 Scopus citations

Presymptomatic atrophy in autosomal dominant Alzheimer's disease: A serial magnetic resonance imaging study

for the & Dominantly Inherited Alzheimer Network (DIAN), Jan 2018, In : Alzheimer's and Dementia. 14, 1, p. 43-53 11 p.

Research output: Contribution to journalArticle

11 Scopus citations
2016

Externalizing personality traits, empathy, and gray matter volume in healthy young drinkers

Charpentier, J., Dzemidzic, M., West, J., Oberlin, B. G., Eiler, W. J. A., Saykin, A. J. & Kareken, D. A., Feb 28 2016, In : Psychiatry Research - Neuroimaging. 248, p. 64-72 9 p.

Research output: Contribution to journalArticle

4 Scopus citations

A novel Alzheimer disease locus located near the gene encoding tau protein

Jun, G., Ibrahim-Verbaas, C. A., Vronskaya, M., Lambert, J. C., Chung, J., Naj, A. C., Kunkle, B. W., Wang, L. S., Bis, J. C., Bellenguez, C., Harold, D., Lunetta, K. L., Destefano, A. L., Grenier-Boley, B., Sims, R., Beecham, G. W., Smith, A. V., Chouraki, V., Hamilton-Nelson, K. L., Ikram, M. A. & 332 others, Fievet, N., Denning, N., Martin, E. R., Schmidt, H., Kamatani, Y., Dunstan, M. L., Valladares, O., Laza, A. R., Zelenika, D., Ramirez, A., Foroud, T. M., Choi, S. H., Boland, A., Becker, T., Kukull, W. A., Van Der Lee, S. J., Pasquier, F., Cruchaga, C., Beekly, D., Fitzpatrick, A. L., Hanon, O., Gill, M., Barber, R., Gudnason, V., Campion, D., Love, S., Bennett, D. A., Amin, N., Berr, C., Tsolaki, M., Buxbaum, J. D., Lopez, O. L., Deramecourt, V., Fox, N. C., Cantwell, L. B., Tárraga, L., Dufouil, C., Hardy, J., Crane, P. K., Eiriksdottir, G., Hannequin, D., Clarke, R., Evans, D., Mosley, T. H., Letenneur, L., Brayne, C., Maier, W., De Jager, P., Emilsson, V., Dartigues, J. F., Hampel, H., Kamboh, M. I., De Bruijn, R. F. A. G., Tzourio, C., Pastor, P., Larson, E. B., Rotter, J. I., O'Donovan, M. C., Montine, T. J., Nalls, M. A., Mead, S., Reiman, E. M., Jonsson, P. V., Holmes, C., St George-Hyslop, P. H., Boada, M., Passmore, P., Wendland, J. R., Schmidt, R., Morgan, K., Winslow, A. R., Powell, J. F., Carasquillo, M., Younkin, S. G., Jakobsdóttir, J., Kauwe, J. S. K., Wilhelmsen, K. C., Rujescu, D., Nöthen, M. M., Hofman, A., Jones, L., Haines, J. L., Psaty, B. M., Van Broeckhoven, C., Holmans, P., Launer, L. J., Mayeux, R., Lathrop, M., Goate, A. M., Escott-Price, V., Seshadri, S., Pericak-Vance, M. A., Amouyel, P., Williams, J., Van Duijn, C. M., Schellenberg, G. D., Farrer, L. A., Adams, P. M., Albert, M. S., Albin, R. L., Apostolova, L. G., Arnold, S. E., Asthana, S., Atwood, C. S., Baldwin, C. T., Barmada, M. M., Barnes, L. L., Beach, T. G., Bigio, E. H., Bird, T. D., Blacker, D., Boeve, B. F., Bowen, J. D., Boxer, A., Burke, J. R., Cairns, N. J., Cao, C., Carlson, C. S., Carlsson, C. M., Carney, R. M., Carrasquillo, M. M., Carroll, S. L., Chui, H. C., Clark, D. G., Corneveaux, J., Cribbs, D. H., Crocco, E. A., DeCarli, C., DeKosky, S. T., Yesim Demirci, F., Dick, M., Dickson, D. W., Doody, R. S., Duara, R., Ertekin-Taner, N., Faber, K. M., Fairchild, T. J., Fallon, K. B., Farlow, M. R., Ferris, S., Frosch, M. P., Galasko, D. R., Gearing, M., Geschwind, D. H., Ghetti, B., Gilbert, J. R., Glass, J. D., Graff-Radford, N. R., Green, R. C., Growdon, J. H., Hakonarson, H., Hamilton, R. L., Harrell, L. E., Head, E., Honig, L. S., Huebinger, R. M., Huentelman, M. J., Hulette, C. M., Hyman, B. T., Jarvik, G. P., Jicha, G. A., Jin, L. W., Karydas, A., Kaye, J. A., Kim, R., Koo, E. H., Kowall, N. W., Kramer, J. H., LaFerla, F. M., Lah, J. J., Leverenz, J. B., Levey, A. I., Li, G., Lieberman, A. P., Lin, C. F., Lyketsos, C. G., Mack, W. J., Marson, D. C., Martiniuk, F., Mash, D. C., Masliah, E., McCormick, W. C., McCurry, S. M., McDavid, A. N., McKee, A. C., Mesulam, M., Miller, B. L., Miller, C. A., Miller, J. W., Morris, J. C., Mukherjee, S., Murrell, J. R., Myers, A. J., O'Bryant, S., Olichney, J. M., Pankratz, V. S., Parisi, J. E., Partch, A., Paulson, H. L., Perry, W., Peskind, E., Petersen, R. C., Pierce, A., Poon, W. W., Potter, H., Quinn, J. F., Raj, A., Raskind, M., Reisberg, B., Reisch, J. S., Reitz, C., Ringman, J. M., Roberson, E. D., Rogaeva, E., Rosen, H. J., Rosenberg, R. N., Royall, D. R., Sager, M. A., Sano, M., Saykin, A. J., Schneider, J. A., Schneider, L. S., Seeley, W. W., Smith, A. G., Sonnen, J. A., Spina, S., Stern, R. A., Tanzi, R. E., Thornton-Wells, T. A., Trojanowski, J. Q., Troncoso, J. C., Tsuang, D. W., Van Deerlin, V. M., Van Eldik, L. J., Vardarajan, B. N., Vinters, H. V., Vonsattel, J. P., Weintraub, S., Welsh-Bohmer, K. A., Williamson, J., Wishnek, S., Woltjer, R. L., Wright, C. B., Wu, C. K., Yu, C. E., Yu, L., Thomas, C., Gerrish, A., Chapman, J., Stretton, A., Morgan, A., Oldham, H., Owen, M. J., Kehoe, P. G., Medway, C., Brown, K., Lord, J., Turton, J., Hooper, N. M., Vardy, E., Warren, J. D., Schott, J. M., Uphill, J., Hollingworth, P., Ryan, N., Rossor, M., Collinge, J., Ben-Shlomo, Y., Makrina, D., Gkatzima, O., Lupton, M., Koutroumani, M., Avramidou, D., Germanou, A., Jessen, F., Riedel-Heller, S., Dichgans, M., Heun, R., Kölsch, H., Schürmann, B., Herold, C., Lacour, A., Drichel, D., Hoffmann, P., Kornhuber, J., Gu, W., Feulner, T., Mayhaus, M., Pichler, S., Riemenschneider, M., van den Bussche, H., Lawlor, B., Lynch, A., Mann, D., Smith, A. D., Warden, D., Wilcock, G., Heuser, I., Wiltfang, J., Frölich, L., Hüll, M., Mayo, K., Livingston, G., Bass, N. J., Gurling, H., McQuillin, A., Gwilliam, R., Deloukas, P., Al-Chalabi, A., Shaw, C. E., Singleton, A. B., Guerreiro, R., Russo, G., Jöckel, K. H., Moebus, S., Klopp, N., Wichmann, H. E., Ma, L., Bisceglio, G., Fisher, E., Warner, N., Pickering-Brown, S., Craig, D., Johnston, J. A., McGuinness, B., Todd, S., Rubinsztein, D. C., Lovestone, S., Bayer, A., Gallacher, J., Proitsi, P. & Ortega-Cubero, S., Jan 1 2016, In : Molecular Psychiatry. 21, 1, p. 108-117 10 p.

Research output: Contribution to journalArticle

82 Scopus citations
2017

Genome-wide association and interaction studies of CSF T-tau/Aβ42 ratio in ADNI cohort

Li, J., Zhang, Q., Chen, F., Meng, X., Liu, W., Chen, D., Yan, J., Kim, S., Wang, L., Feng, W., Saykin, A. J., Liang, H. & Shen, L., Sep 2017, In : Neurobiology of Aging. 57, p. 247.e1-247.e8

Research output: Contribution to journalArticle

10 Scopus citations
2018

Characteristic patterns of inter- and intra-hemispheric metabolic connectivity in patients with stable and progressive mild cognitive impairment and Alzheimer’s disease

for the Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2018, In : Scientific reports. 8, 1, 13807.

Research output: Contribution to journalArticle

1 Scopus citations
2017

Characterizing gene and protein crosstalks in subjects at risk of developing Alzheimer's disease: A new computational approach

for the Alzheimer's Disease Neuroimaging Initiative, Sep 1 2017, In : Processes. 5, 3, 47.

Research output: Contribution to journalArticle

1 Scopus citations

Genome-wide network-based pathway analysis of CSF t-tau/Aβ1-42 ratio in the ADNI cohort

for the Alzheimer's Disease Neuroimaging Initiative, May 30 2017, In : BMC genomics. 18, 1, 421.

Research output: Contribution to journalArticle

5 Scopus citations
2016

Genome-wide association study of prolactin levels in blood plasma and cerebrospinal fluid

for the Alzheimer's Disease Neuroimaging Initiative, Jun 29 2016, In : BMC genomics. 17, 436.

Research output: Contribution to journalArticle

2 Scopus citations

Variants in CCL16 are associated with blood plasma and cerebrospinal fluid CCL16 protein levels

for the Alzheimer's Disease Neuroimaging Initiative, Jun 29 2016, In : BMC genomics. 17, 437.

Research output: Contribution to journalArticle

2017
6 Scopus citations
2016

The executive prominent/memory prominent spectrum in Alzheimer's disease are highly heritable

Alzheimer's Disease Neuroimaging Initiative (ADNI1), Alzheimer's Disease Genetics Consortium (ADGC) & Executive Prominent Alzheimer's Disease: Genetics and Risk Factors (EPAD:GRF), May 1 2016, In : Neurobiology of Aging. 41, p. 115-121 7 p.

Research output: Contribution to journalArticle

7 Scopus citations

White matter hyperintensities are a core feature of Alzheimer's disease: Evidence from the dominantly inherited Alzheimer network

Lee, S., Viqar, F., Zimmerman, M. E., Narkhede, A., Tosto, G., Benzinger, T. L. S., Marcus, D. S., Fagan, A. M., Goate, A., Fox, N. C., Cairns, N. J., Holtzman, D. M., Buckles, V., Ghetti, B., McDade, E., Martins, R. N., Saykin, A. J., Masters, C. L., Ringman, J. M., Ryan, N. S. & 12 others, Förster, S., Laske, C., Schofield, P. R., Sperling, R. A., Salloway, S., Correia, S., Jack, C., Weiner, M., Bateman, R. J., Morris, J. C., Mayeux, R. & Brickman, A. M., Jun 1 2016, In : Annals of Neurology. 79, 6, p. 929-939 11 p.

Research output: Contribution to journalArticle

106 Scopus citations

Type 2 diabetes mellitus is associated with brain atrophy and hypometabolism in the ADNI cohort

Li, W., Risacher, S. L., Huang, E. & Saykin, A., Aug 9 2016, In : Neurology. 87, 6, p. 595-600 6 p.

Research output: Contribution to journalArticle

27 Scopus citations

Association between anticholinergic medication use and cognition, brain metabolism, and brain atrophy in cognitively normal older adults

Alzheimer's Disease Neuroimaging Initiative, Jun 2016, In : JAMA Neurology. 73, 6, p. 721-732 12 p.

Research output: Contribution to journalArticle

92 Scopus citations
18 Scopus citations
2018

Sex-specific genetic predictors of Alzheimer’s disease biomarkers

Alzheimer’s Disease Neuroimaging Initiative (ADNI) & The Alzheimer Disease Genetics Consortium (Adgc), Dec 1 2018, In : Acta Neuropathologica. 136, 6, p. 857-872 16 p.

Research output: Contribution to journalArticle

14 Scopus citations
2017

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

Du, L., Liu, K., Yao, X., Yan, J., Risacher, S. L., Han, J., Guo, L., Saykin, A. J., Shen, L., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., Trojanowki, J. Q., Toga, A. W., Beckett, L., Green, R. C., Morris, J., Shaw, L. M. & 293 others, Khachaturian, Z., Sorensen, G., Carrillo, M., Kuller, L., Raichle, M., Paul, S., Davies, P., Fillit, H., Hefti, F., Holtzman, D., Mesulam, M. M., Potter, W., Snyder, P., Schwartz, A., Montine, T., Thomas, R. G., Donohue, M., Walter, S., Gessert, D., Sather, T., Jiminez, G., Balasubramanian, A. B., Mason, J., Sim, I., Harvey, D., Bernstein, M., Fox, N., Thompson, P., Schuff, N., Decarli, C., Borowski, B., Gunter, J., Senjem, M., Vemuri, P., Jones, D., Kantarci, K., Ward, C., Koeppe, R. A., Foster, N., Reiman, E. M., Chen, K., Mathis, C., Landau, S., Cairns, N. J., Franklin, E., Taylor-Reinwald, L., Lee, V., Korecka, M., Figurski, M., Crawford, K., Neu, S., Foroud, T. M., Potkin, S., Faber, K., Kim, S., Nho, K., Thal, L., Buckholtz, N., Albert, M., Frank, R., Hsiao, J., Kaye, J., Quinn, J., Silbert, L., Lind, B., Carter, R., Dolen, S., Schneider, L. S., Pawluczyk, S., Beccera, M., Teodoro, L., Spann, B. M., Brewer, J., Vanderswag, H., Fleisher, A., Heidebrink, J. L., Lord, J. L., Mason, S. S., Albers, C. S., Knopman, D., Johnson, K., Doody, R. S., Villanueva-Meyer, J., Pavlik, V., Shibley, V., Chowdhury, M., Rountree, S., Dang, M., Stern, Y., Honig, L. S., Bell, K. L., Ances, B., Carroll, M., Creech, M. L., Franklin, E., Mintun, M. A., Schneider, S., Oliver, A., Marson, D., Geldmacher, D., Love, M. N., Griffith, R., Clark, D., Brockington, J., Roberson, E., Grossman, H., Mitsis, E., Shah, R. C., Detoledo-Morrell, L., Duara, R., Greig-Custo, M. T., Barker, W., Onyike, C., D'Agostino, D., Kielb, S., Sadowski, M., Sheikh, M. O., Ulysse, A., Gaikwad, M., Murali Doraiswamy, P., Petrella, J. R., Borges-Neto, S., Wong, T. Z., Coleman, E., Arnold, S. E., Karlawish, J. H., Wolk, D. A., Clark, C. M., Smith, C. D., Jicha, G., Hardy, P., Sinha, P., Oates, E., Conrad, G., Lopez, O. L., Oakley, M. A., Simpson, D. M., Porsteinsson, A. P., Goldstein, B. S., Martin, K., Makino, K. M., Ismail, M. S., Brand, C., Preda, A., Nguyen, D., Womack, K., Mathews, D., Quiceno, M., Levey, A. I., Lah, J. J., Cellar, J. S., Burns, J. M., Swerdlow, R. H., Brooks, W. M., Apostolova, L., Tingus, K., Woo, E., Silverman, D. H. S., Lu, P. H., Bartzokis, G., Graff-Radford, N. R., Parfitt, F., Poki-Walker, K., Farlow, M. R., Marie Hake, A., Matthews, B. R., Brosch, J. R., Herring, S., Van Dyck, C. H., Carson, R. E., MacAvoy, M. G., Varma, P., Chertkow, H., Bergman, H., Hosein, C., Black, S., Stefanovic, B., Caldwell, C., Robin Hsiung, G. Y., Mudge, B., Sossi, V., Feldman, H., Assaly, M., Finger, E., Pasternack, S., Rachisky, I., Rogers, J., Trost, D., Kertesz, A., Bernick, C., Munic, D., Rogalski, E., Lipowski, K., Weintraub, S., Bonakdarpour, B., Kerwin, D., Wu, C. K., Johnson, N., Sadowsky, C., Villena, T., Scott Turner, R., Johnson, K., Reynolds, B., Sperling, R. A., Johnson, K. A., Marshall, G., Yesavage, J., Taylor, J. L., Lane, B., Rosen, A., Tinklenberg, J., Sabbagh, M. N., Belden, C. M., Jacobson, S. A., Sirrel, S. A., Kowall, N., Killiany, R., Budson, A. E., Norbash, A., Lynn Johnson, P., Obisesan, T. O., Wolday, S., Allard, J., Lerner, A., Ogrocki, P., Tatsuoka, C., Fatica, P., Fletcher, E., Maillard, P., Olichney, J., Decarli, C., Carmichael, O., Kittur, S., Borrie, M., Lee, T. Y., Bartha, R., Johnson, S., Asthana, S., Carlsson, C. M., Tariot, P., Burke, A., Milliken, A. M., Trncic, N., Fleisher, A., Reeder, S., Bates, V., Capote, H., Rainka, M., Scharre, D. W., Kataki, M., Kelly, B., Zimmerman, E. A., Celmins, D., Brown, A. D., Pearlson, G. D., Blank, K., Anderson, K., Flashman, L. A., Seltzer, M., Hynes, M. L., Santulli, R. B., Sink, K. M., Gordineer, L., Williamson, J. D., Garg, P., Watkins, F., Ott, B. R., Tremont, G., Daiello, L. A., Salloway, S., Malloy, P., Correia, S., Rosen, H. J., Miller, B. L., Perry, D., Mintzer, J., Spicer, K., Bachman, D., Pomara, N., Hernando, R., Sarrael, A., Schultz, S. K., Ekstam Smith, K., Koleva, H., Nam, K. W., Shim, H., Relkin, N., Chaing, G., Lin, M., Ravdin, L., Smith, A., Ashok Raj, B. & Fargher, K., Dec 1 2017, In : Scientific reports. 7, 1, 14052.

Research output: Contribution to journalArticle

3 Scopus citations
2016

Exploring the nexus of Alzheimer's disease and related dementias with cancer and cancer therapies: A convening of the Alzheimer's Association & Alzheimer's Drug Discovery Foundation

Snyder, H. M., Ahles, T., Calderwood, S., Carrillo, M. C., Chen, H., Chang, C. C. H., Craft, S., De Jager, P., Driver, J. A., Fillit, H., Knopman, D., Lotze, M., Tierney, M. C., Petanceska, S., Saykin, A., Seshadri, S., Shineman, D. & Ganguli, M., 2016, (Accepted/In press) In : Alzheimer's and Dementia.

Research output: Contribution to journalArticle

12 Scopus citations
2018

Task-evoked functional connectivity does not explain functional connectivity differences between rest and task conditions

Lynch, L. K., Lu, K. H., Wen, H., Zhang, Y., Saykin, A. J. & Liu, Z., Dec 2018, In : Human Brain Mapping. 39, 12, p. 4939-4948 10 p.

Research output: Contribution to journalArticle

4 Scopus citations
2017

Identification of discriminative imaging proteomics associations in Alzheimer’s disease via a novel sparse correlation model

Alzheimer's Disease Neuroimaging Initiative, Jan 1 2017, In : Pacific Symposium on Biocomputing. 0, 212679, p. 94-104 11 p.

Research output: Contribution to journalConference article

Open Access
3 Scopus citations
2018

Assembly of 809 whole mitochondrial genomes with clinical, imaging, and fluid biomarker phenotyping

The Alzheimer's Disease Neuroimaging Initiative, Apr 2018, In : Alzheimer's and Dementia. 14, 4, p. 514-519 6 p.

Research output: Contribution to journalArticle

1 Scopus citations

Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: A targeted metabolomics study

Varma, V. R., Oommen, A. M., Varma, S., Casanova, R., An, Y., Andrews, R. M., O’Brien, R., Pletnikova, O., Troncoso, J. C., Toledo, J., Baillie, R., Arnold, M., Kastenmueller, G., Nho, K., Doraiswamy, P. M., Saykin, A. J., Kaddurah-Daouk, R., Legido-Quigley, C. & Thambisetty, M., Jan 2018, In : PLoS Medicine. 15, 1, e1002482.

Research output: Contribution to journalArticle

53 Scopus citations
2016

The effect of the top 20 Alzheimer disease risk genes on gray-matter density and FDG PET brain metabolism

Stage, E., Duran, T., Risacher, S. L., Goukasian, N., Do, T. M., West, J. D., Wilhalme, H., Nho, K., Phillips, M., Elashoff, D., Saykin, A. J. & Apostolova, L. G., Jan 1 2016, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 5, p. 53-66 14 p.

Research output: Contribution to journalArticle

12 Scopus citations
2017

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

Alzheimer's Disease Neuroimaging Initiative, May 2017, In : Alzheimer's and Dementia. 13, 5, p. 561-571 11 p.

Research output: Contribution to journalReview article

44 Scopus citations

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

for the Alzheimer Disease Neuroimaging Initiative, 2017, In : Journal of Alzheimer's Disease. 58, 4, p. 1245-1254 10 p.

Research output: Contribution to journalArticle

16 Scopus citations