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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

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
2019

A dirty multi-task learning method for multi-modal brain imaging genetics

for the Alzheimer’s Disease Neuroimaging Initiative, Jan 1 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer, p. 447-455 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11767 LNCS).

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

The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services

Avesani, P., McPherson, B., Hayashi, S., Caiafa, C. F., Henschel, R., Garyfallidis, E., Kitchell, L., Bullock, D., Patterson, A., Olivetti, E., Sporns, O., Saykin, A., Wang, L., Dinov, I., Hancock, D., Caron, B., Qian, Y. & Pestilli, F., May 23 2019, In : Scientific data. 6, 1, 1 p.

Research output: Contribution to journalArticle

Open Access
2 Scopus citations
2017

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
2019

Mining regional imaging genetic associations via voxel-wise enrichment analysis

Yao, X., Cong, S., Yan, J., Risacher, S. L., Saykin, A. J., Moore, J. H. & Shen, L., May 2019, 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8834450. (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings).

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

1 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
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
2019

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

Han, S., Miller, J. E., Byun, S., Kim, D., Risacher, S. L., Saykin, A. J., Lee, Y. & Nho, K., Jan 31 2019, In : BMC Medical Genomics. 12, 13.

Research output: Contribution to journalArticle

3 Scopus citations
2016

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
2019

Correction to: Genetic data and cognitively defined late-onset Alzheimer’s disease subgroups (Molecular Psychiatry, (2018), 10.1038/s41380-018-0298-8)

EPAD Study Group, Investigators from ACT, Investigators from ROS, Investigators from MAP, Investigators from ADNI & Investigators from the University of Pittsburgh ADRC, Jan 1 2019, (Accepted/In press) In : Molecular Psychiatry.

Research output: Contribution to journalArticle

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
2019

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

Risacher, S. L., Fandos, N., Romero, J., Sherriff, I., Pesini, P., Saykin, A. J. & Apostolova, L. G., Dec 2019, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 11, p. 510-519 10 p.

Research output: Contribution to journalArticle

Open Access
3 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
2019

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

Du, L., Liu, K., Yao, X., Risacher, S. L., Han, J., Guo, L., Saykin, A. & Shen, L., Jan 21 2019, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 356-361 6 p. 8621298. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

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

2 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

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

2019

Genome-wide network-assisted association and enrichment study of amyloid imaging phenotype in alzheimer’s disease

Alzheimer’s Disease Neuroimaging Initiative, Jan 1 2019, In : Current Alzheimer research. 16, 13, p. 1163-1174 12 p.

Research output: Contribution to journalArticle

1 Scopus citations
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
2019

Non-coding variability at the APOE locus contributes to the Alzheimer’s risk

Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2019, In : Nature communications. 10, 1, 3310.

Research output: Contribution to journalArticle

Open Access
1 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
2019

Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification

Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2019, In : Scientific reports. 9, 1, 13845.

Research output: Contribution to journalArticle

Open Access
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
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
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

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, S. L., Shen, L., Kim, D., Lee, S., Foroud, T., Shaw, L. M., Trojanowski, J. Q., Aisen, P. S., Petersen, R. C., Jack, C. R., Weiner, M. W., Green, R. C., Toga, A. W. & Saykin, A. J., May 24 2017, In : BMC Medical Genomics. 10, 29.

Research output: Contribution to journalArticle

9 Scopus citations

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

Alzheimer's Disease Neuroimaging Initiative, Apr 1 2017, In : Alzheimer's and Dementia. 13, 4, p. e1-e85

Research output: Contribution to journalReview article

73 Scopus citations

Methylphenidate and memory and attention adaptation training for persistent cognitive symptoms after traumatic brain injury: A randomized, placebo-controlled trial

McDonald, B. C., Flashman, L. A., Arciniegas, D. B., Ferguson, R. J., Xing, L., Harezlak, J., Sprehn, G. C., Hammond, F. M., Maerlender, A. C., Kruck, C. L., Gillock, K. L., Frey, K., Wall, R. N., Saykin, A. J. & McAllister, T. W., Aug 1 2017, In : Neuropsychopharmacology. 42, 9, p. 1766-1775 10 p.

Research output: Contribution to journalArticle

20 Scopus citations