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  • Andrew Saykin
2018

Gray matter density reduction associated with adjuvant chemotherapy in older women with breast cancer

Chen, B. T., Jin, T., Patel, S. K., Ye, N., Sun, C. L., Ma, H., Rockne, R. C., Root, J. C., Saykin, A. J., Ahles, T. A., Holodny, A. I., Prakash, N., Mortimer, J., Waisman, J., Yuan, Y., Li, D., Somlo, G., Vazquez, J., Levi, A., Tan, H. & 3 others, Yang, R., Katheria, V. & Hurria, A., Nov 1 2018, In : Breast Cancer Research and Treatment. 172, 2, p. 363-370 8 p.

Research output: Contribution to journalArticle

4 Scopus citations
2016

Identifying significant gene-environment interactions using a combination of screening testing and hierarchical false discovery rate control

The Alzheimer's Disease Neuroimaging Initiative, Nov 1 2016, In : Genetic epidemiology. 40, 7, p. 544-557 14 p.

Research output: Contribution to journalArticle

4 Scopus citations
2018

Assessing brain volume changes in older women with breast cancer receiving adjuvant chemotherapy: A brain magnetic resonance imaging pilot study

Chen, B. T., Sethi, S. K., Jin, T., Patel, S. K., Ye, N., Sun, C. L., Rockne, R. C., Haacke, E. M., Root, J. C., Saykin, A. J., Ahles, T. A., Holodny, A. I., Prakash, N., Mortimer, J., Waisman, J., Yuan, Y., Somlo, G., Li, D., Yang, R., Tan, H. & 3 others, Katheria, V., Morrison, R. & Hurria, A., May 2 2018, In : Breast Cancer Research. 20, 1, 38.

Research output: Contribution to journalArticle

10 Scopus citations

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

Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays

Caiafa, C. F., Sporns, O., Saykin, A. & Pestilli, F., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 4341-4352 12 p.

Research output: Contribution to journalConference article

3 Scopus citations
2016

Apathy is associated with ventral striatum volume in schizophrenia spectrum disorder

Roth, R. M., Garlinghouse, M. A., Flashman, L. A., Koven, N. S., Cara Pendergrass, J., Ford, J. C., McAllister, T. W. & Saykin, A., 2016, In : Journal of Neuropsychiatry and Clinical Neurosciences. 28, 3, p. 191-194 4 p.

Research output: Contribution to journalArticle

4 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

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

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
2016

Diagnosis-guided method for identifying multi-modality neuroimaging biomarkers associated with genetic risk factors in Alzheimer’s disease

Hao, X., Yan, J., Yao, X., Risacher, S. L., Saykin, A. J., Zhang, D. & Shen, L., Jan 1 2016, In : Pacific Symposium on Biocomputing. p. 108-119 12 p.

Research output: Contribution to journalConference article

3 Scopus citations
2017

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

Hao, X., Li, C., Yan, J., Yao, X., Risacher, S. L., Saykin, A. J., Shen, L. & Zhang, D., Jul 15 2017, In : Bioinformatics. 33, 14, p. i341-i349

Research output: Contribution to journalArticle

7 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

2018

GPU Accelerated Browser for Neuroimaging Genomics

Alzheimer’s Disease Neuroimaging Initiative, Oct 1 2018, In : Neuroinformatics. 16, 3-4, p. 393-402 10 p.

Research output: Contribution to journalArticle

Stability of MRI metrics in the advanced research core of the NCAA-DoD concussion assessment, research and education (CARE) consortium

Nencka, A. S., Meier, T. B., Wang, Y., Muftuler, L. T., Wu, Y. C., Saykin, A. J., Harezlak, J., Brooks, M. A., Giza, C. C., Difiori, J., Guskiewicz, K. M., Mihalik, J. P., LaConte, S. M., Duma, S. M., Broglio, S., McAllister, T., McCrea, M. A. & Koch, K. M., Aug 1 2018, In : Brain Imaging and Behavior. 12, 4, p. 1121-1140 20 p.

Research output: Contribution to journalArticle

12 Scopus citations
33 Scopus citations

A Network-Based Framework for Mining High-Level Imaging Genetic Associations

Liang, H., Meng, X., Chen, F., Zhang, Q., Yan, J., Yao, X., Kim, S., Wang, L., Feng, W., Saykin, A. J., Li, J. & Shen, L., Jan 1 2018, Imaging Genetics. Elsevier Inc., p. 119-134 16 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

2017

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
2018

A Longitudinal Imaging Genetics Study of Neuroanatomical Asymmetry in Alzheimer's Disease

Alzheimer's Disease Neuroimaging Initiative, Oct 1 2018, In : Biological psychiatry. 84, 7, p. 522-530 9 p.

Research output: Contribution to journalArticle

9 Scopus citations
2017

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

Alzheimer's Disease Neuroimaging Initiative, Oct 15 2017, In : Bioinformatics. 33, 20, p. 3250-3257 8 p.

Research output: Contribution to journalArticle

8 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

Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer’s disease

Kim, D., Basile, A. O., Bang, L., Horgusluoglu, E., Lee, S., Ritchie, M. D., Saykin, A. J. & Nho, K., May 18 2017, In : BMC medical informatics and decision making. 17, 61.

Research output: Contribution to journalArticle

6 Scopus citations
2018

Codon bias among synonymous rare variants is associated with alzheimer’s disease imaging biomarker

Alzheimer’s Disease Neuroimaging Initiative (ADNI), Jan 1 2018, In : Pacific Symposium on Biocomputing. 0, 212669, p. 365-376 12 p.

Research output: Contribution to journalConference article

4 Scopus citations
2017

Targeted metabolomics and medication classification data from participants in the ADNI1 cohort

St John-Williams, L., Blach, C., Toledo, J. B., Rotroff, D. M., Kim, S., Klavins, K., Baillie, R., Han, X., Mahmoudiandehkordi, S., Jack, J., Massaro, T. J., Lucas, J. E., Louie, G., Motsinger-Reif, A. A., Risacher, S. L., Saykin, A. J., Kastenmüller, G., Arnold, M., Koal, T., Moseley, M. A. & 5 others, Mangravite, L. M., Peters, M. A., Tenenbaum, J. D., Thompson, J. W. & Kaddurah-Daouk, R., Oct 17 2017, In : Scientific Data. 4, 170140.

Research output: Contribution to journalArticle

17 Scopus citations
2018

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

54 Scopus citations

Genetic data and cognitively defined late-onset Alzheimer’s disease subgroups

EPAD Study Group, Investigators from ACT, Investigators from ROS, Investigators from MAP, Investigators from ADNI & Investigators from the University of Pittsburgh ADRC, Jan 1 2018, (Accepted/In press) In : Molecular Psychiatry.

Research output: Contribution to journalArticle

5 Scopus citations

Sex-specific association of apolipoprotein e with cerebrospinal fluid levels of tau

Alzheimer's Disease Genetics Consortium and the Alzheimer's Disease Neuroimaging Initiative, Aug 1 2018, In : JAMA Neurology. 75, 8, p. 989-998 10 p.

Research output: Contribution to journalArticle

35 Scopus citations
2017

Incidence of cognitively defined late-onset Alzheimer's dementia subgroups from a prospective cohort study

Executive Prominent Alzheimer's Disease: Genetics and Risk Factors (EPAD:GRF) Investigators, Dec 2017, In : Alzheimer's and Dementia. 13, 12, p. 1307-1316 10 p.

Research output: Contribution to journalArticle

11 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
19 Scopus citations

A new statistical image analysis approach and its application to Hippocampal morphometry

ADNI, Jan 1 2016, Medical Imaging and Augmented Reality - 7th International Conference, MIAR 2016, Proceedings. Liao, H., Zheng, G., Lee, S-L., Cattin, P. & Jannin, P. (eds.). Springer Verlag, p. 302-310 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9805 LNCS).

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

1 Scopus citations
2018

Volumetric comparison of hippocampal subfields extracted from 4-minute accelerated vs. 8-minute high-resolution T2-weighted 3T MRI scans

Cong, S., Risacher, S. L., West, J. D., Wu, Y. C., Apostolova, L. G., Tallman, E., Rizkalla, M., Salama, P., Saykin, A. J. & Shen, L., Dec 1 2018, In : Brain Imaging and Behavior. 12, 6, p. 1583-1595 13 p.

Research output: Contribution to journalArticle

2 Scopus citations

Associations of the top 20 Alzheimer disease risk variants with brain amyloidosis

Apostolova, L. G., Risacher, S. L., Duran, T., Stage, E. C., Goukasian, N., West, J. D., Do, T. M., Grotts, J., Wilhalme, H., Nho, K., Phillips, M., Elashoff, D. & Saykin, A. J., Mar 2018, In : JAMA Neurology. 75, 3, p. 328-341 14 p.

Research output: Contribution to journalArticle

19 Scopus citations

Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states

Mahjoub, I., Mahjoub, M. A., Rekik, I., Weiner, M., Aisen, P., Petersen, R., Jack, C., Jagust, W., Trojanowki, J., Toga, A., Beckett, L., Green, R., Saykin, A., Morris, J., Shaw, L., Kaye, J., Quinn, J., Silbert, L., Lind, B., Carter, R. & 221 others, Dolen, S., Schneider, L., Pawluczyk, S., Beccera, M., Teodoro, L., Spann, B., Brewer, J., Vanderswag, H., Fleisher, A., Heidebrink, J., Lord, J., Mason, S., Albers, C., Knopman, D., Johnson, K., Doody, R., Villanueva-Meyer, J., Chowdhury, M., Rountree, S., Dang, M., Stern, Y., Honig, L., Bell, K., Ances, B., Carroll, M., Creech, M., Franklin, E., Mintun, M., Schneider, S., Oliver, A., Marson, D., Grifth, R., Clark, D., Geldmacher, D., Brockington, J., Roberson, E., Natelson Love, M., Grossman, H., Mitsis, E., Shah, R., Detoledo-Morrell, L., Duara, R., Varon, D., Greig, M., Roberts, P., Albert, M., Onyike, C., D'Agostino, D., Kielb, S., Galvin, J., Cerbone, B., Michel, C., Pogorelec, D., Rusinek, H., De Leon, M., Glodzik, L., De Santi, S., Doraiswamy, P., Petrella, J., Borges-Neto, S., Wong, T., Coleman, E., Smith, C., Jicha, G., Hardy, P., Sinha, P., Oates, E., Conrad, G., Porsteinsson, A., Goldstein, B., Martin, K., Makino, K., Ismail, M., Brand, C., Mulnard, R., Thai, G., Mc-Adams-Ortiz, C., Womack, K., Mathews, D., Quiceno, M., Levey, A., Lah, J., Cellar, J., Burns, J., Swerdlow, R., Brooks, W., Apostolova, L., Tingus, K., Woo, E., Silverman, D., Lu, P., Bartzokis, G., Graf-Radford, N., Parftt, F., Kendall, T., Johnson, H., Farlow, M., Hake, A. M., Matthews, B., Brosch, J., Herring, S., Hunt, C., Dyck, C., Carson, R., MacAvoy, M., Varma, P., Chertkow, H., Bergman, H., Hosein, C., Black, S., Stefanovic, B., Caldwell, C., Robin Hsiung, G. Y., Feldman, H., Mudge, B., Assaly, M., Finger, E., Pasternack, S., Rachisky, I., Trost, D., Kertesz, A., Bernick, C., Munic, D., Mesulam, M. M., Lipowski, K., Weintraub, S., Bonakdarpour, B., Kerwin, D., Wu, C. K., Johnson, N., Sadowsky, C., Villena, T., Turner, R. S., Johnson, K., Reynolds, B., Sperling, R., Johnson, K., Marshall, G., Yesavage, J., Taylor, J., Lane, B., Rosen, A., Tinklenberg, J., Sabbagh, M., Belden, C., Jacobson, S., Sirrel, S., Kowall, N., Killiany, R., Budson, A., Norbash, A., Johnson, P. L., Obisesan, T., 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., Potkin, S., Preda, A., Nguyen, D., Tariot, P., Burke, A., Trncic, N., Reeder, S., Bates, V., Capote, H., Rainka, M., Scharre, D., Kataki, M., Adeli, A., Zimmerman, E., Celmins, D., Brown, A., Pearlson, G., Blank, K., Anderson, K., Flashman, L., Seltzer, M., Hynes, M., Santulli, R., Sink, K., Gordineer, L., Williamson, J., Garg, P., Watkins, F., Ott, B., Querfurth, H., Tremont, G., Salloway, S., Malloy, P., Correia, S., Rosen, H., Miller, B., Perry, D., Mintzer, J., Spicer, K., Bachman, D., Pomara, N., Hernando, R., Sarrael, A., Relkin, N., Chaing, G., Lin, M., Ravdin, L., Smith, A., Raj, B. A. & Fargher, K., Dec 1 2018, In : Scientific reports. 8, 1, 4103.

Research output: Contribution to journalArticle

24 Scopus citations
2017

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

The Alzheimer's Disease Neuroimaging Initiative, Sep 2017, In : Brain and Language. 172, p. 22-29 8 p.

Research output: Contribution to journalArticle

5 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
2017
8 Scopus citations
2016

Novel genetic loci underlying human intracranial volume identified through genome-wide association

Adams, H. H. H., Hibar, D. P., Chouraki, V., Stein, J. L., Nyquist, P. A., Rentería, M. E., Trompet, S., Arias-Vasquez, A., Seshadri, S., Desrivières, S., Beecham, A. H., Jahanshad, N., Wittfeld, K., Van Der Lee, S. J., Abramovic, L., Alhusaini, S., Amin, N., Andersson, M., Arfanakis, K., Aribisala, B. S. & 322 others, Armstrong, N. J., Athanasiu, L., Axelsson, T., Beiser, A., Bernard, M., Bis, J. C., Blanken, L. M. E., Blanton, S. H., Bohlken, M. M., Boks, M. P., Bralten, J., Brickman, A. M., Carmichael, O., Chakravarty, M. M., Chauhan, G., Chen, Q., Ching, C. R. K., Cuellar-Partida, G., Braber, A. D., Doan, N. T., Ehrlich, S., Filippi, I., Ge, T., Giddaluru, S., Goldman, A. L., Gottesman, R. F., Greven, C. U., Grimm, O., Griswold, M. E., Guadalupe, T., Hass, J., Haukvik, U. K., Hilal, S., Hofer, E., Hoehn, D., Holmes, A. J., Hoogman, M., Janowitz, D., Jia, T., Kasperaviciute, D., Kim, S., Klein, M., Kraemer, B., Lee, P. H., Liao, J., Liewald, D. C. M., Lopez, L. M., Luciano, M., Macare, C., Marquand, A., Matarin, M., Mather, K. A., Mattheisen, M., Mazoyer, B., McKay, D. R., McWhirter, R., Milaneschi, Y., Mirza-Schreiber, N., Muetzel, R. L., Maniega, S. M., Nho, K., Nugent, A. C., Loohuis, L. M. O., Oosterlaan, J., Papmeyer, M., Pappa, I., Pirpamer, L., Pudas, S., Pütz, B., Rajan, K. B., Ramasamy, A., Richards, J. S., Risacher, S. L., Roiz-Santiañez, R., Rommelse, N., Rose, E. J., Royle, N. A., Rundek, T., Sämann, P. G., Satizabal, C. L., Schmaal, L., Schork, A. J., Shen, L., Shin, J., Shumskaya, E., Smith, A. V., Sprooten, E., Strike, L. T., Teumer, A., Thomson, R., Tordesillas-Gutierrez, D., Toro, R., Trabzuni, D., Vaidya, D., Van Der Grond, J., Van Der Meer, D., Van Donkelaar, M. M. J., Van Eijk, K. R., Van Erp, T. G. M., Van Rooij, D., Walton, E., Westlye, L. T., Whelan, C. D., Windham, B. G., Winkler, A. M., Woldehawariat, G., Wolf, C., Wolfers, T., Xu, B., Yanek, L. R., Yang, J., Zijdenbos, A., Zwiers, M. P., Agartz, I., Aggarwal, N. T., Almasy, L., Ames, D., Amouyel, P., Andreassen, O. A., Arepalli, S., Assareh, A. A., Barral, S., Bastin, M. E., Becker, D. M., Becker, J. T., Bennett, D. A., Blangero, J., Van Bokhoven, H., Boomsma, D. I., Brodaty, H., Brouwer, R. M., Brunner, H. G., Buckner, R. L., Buitelaar, J. K., Bulayeva, K. B., Cahn, W., Calhoun, V. D., Cannon, D. M., Cavalleri, G. L., Chen, C., Cheng, C. Y., Cichon, S., Cookson, M. R., Corvin, A., Crespo-Facorro, B., Curran, J. E., Czisch, M., Dale, A. M., Davies, G. E., De Geus, E. J. C., De Jager, P. L., De Zubicaray, G. I., Delanty, N., Depondt, C., Destefano, A. L., Dillman, A., Djurovic, S., Donohoe, G., Drevets, W. C., Duggirala, R., Dyer, T. D., Erk, S., Espeseth, T., Evans, D. A., Fedko, I. O., Fernández, G., Ferrucci, L., Fisher, S. E., Fleischman, D. A., Ford, I., Foroud, T. M., Fox, P. T., Francks, C., Fukunaga, M., Gibbs, J. R., Glahn, D. C., Gollub, R. L., Göring, H. H. H., Grabe, H. J., Green, R. C., Gruber, O., Gudnason, V., Guelfi, S., Hansell, N. K., Hardy, J., Hartman, C. A., Hashimoto, R., Hegenscheid, K., Heinz, A., Le Hellard, S., Hernandez, D. G., Heslenfeld, D. J., Ho, B. C., Hoekstra, P. J., Hoffmann, W., Hofman, A., Holsboer, F., Homuth, G., Hosten, N., Hottenga, J. J., Pol, H. E. H., Ikeda, M., Ikram, M. K., Jack, C. R., Jenkinson, M., Johnson, R., Jönsson, E. G., Jukema, J. W., Kahn, R. S., Kanai, R., Kloszewska, I., Knopman, D. S., Kochunov, P., Kwok, J. B., Lawrie, S. M., Lemaître, H., Liu, X., Longo, D. L., Longstreth, W. T., Lopez, O. L., Lovestone, S., Martinez, O., Martinot, J. L., Mattay, V. S., McDonald, C., McIntosh, A. M., McMahon, K. L., McMahon, F. J., Mecocci, P., Melle, I., Meyer-Lindenberg, A., Mohnke, S., Montgomery, G. W., Morris, D. W., Mosley, T. H., Mühleisen, T. W., Müller-Myhsok, B., Nalls, M. A., Nauck, M., Nichols, T. E., Niessen, W. J., Nöthen, M. M., Nyberg, L., Ohi, K., Olvera, R. L., Ophoff, R. A., Pandolfo, M., Paus, T., Pausova, Z., Penninx, B. W. J. H., Pike, G. B., Potkin, S. G., Psaty, B. M., Reppermund, S., Rietschel, M., Roffman, J. L., Romanczuk-Seiferth, N., Rotter, J. I., Ryten, M., Sacco, R. L., Sachdev, P. S., Saykin, A. J., Schmidt, R., Schofield, P. R., Sigurdsson, S., Simmons, A., Singleton, A., Sisodiya, S. M., Smith, C., Smoller, J. W., Soininen, H., Srikanth, V., Steen, V. M., Stott, D. J., Sussmann, J. E., Thalamuthu, A., Tiemeier, H., Toga, A. W., Traynor, B. J., Troncoso, J., Turner, J. A., Tzourio, C., Uitterlinden, A. G., Hernández, M. C. V., Van Der Brug, M., Van Der Lugt, A., Van Der Wee, N. J. A., Van Duijn, C. M., Van Haren, N. E. M., Van't Ent, D., Van Tol, M. J., Vardarajan, B. N., Veltman, D. J., Vernooij, M. W., Völzke, H., Walter, H., Wardlaw, J. M., Wassink, T. H., Weale, M. E., Weinberger, D. R., Weiner, M. W., Wen, W., Westman, E., White, T., Wong, T. Y., Wright, C. B., Zielke, H. R., Zonderman, A. B., Deary, I. J., Decarli, C., Schmidt, H., Martin, N. G., De Craen, A. J. M., Wright, M. J., Launer, L. J., Schumann, G., Fornage, M., Franke, B., Debette, S., Medland, S. E., Ikram, M. A. & Thompson, P. M., Dec 1 2016, In : Nature Neuroscience. 19, 12, p. 1569-1582 14 p.

Research output: Contribution to journalArticle

73 Scopus citations

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
2017

Effects of traumatic brain injury and posttraumatic stress disorder on development of Alzheimer's disease in Vietnam Veterans using the Alzheimer's Disease Neuroimaging Initiative: Preliminary report

Weiner, M., Harvey, D., Hayes, J., Landau, S., Aisen, P., Petersen, R., Tosun, D., Veitch, D., Jack, C., Decarli, C., Saykin, A., Grafman, J. & Neylan, T., Jun 1 2017, In : Alzheimer's and Dementia: Translational Research and Clinical Interventions. 3, 2, p. 177-188 12 p.

Research output: Contribution to journalArticle

21 Scopus citations
2018

Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model

Yan, J., Liu, K., Lv, H., Amico, E., Risacher, S. L., Wu, Y. C., Fang, S., Sporns, O., Saykin, A. J., Goni, J. & Shen, L., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, p. 6-9 4 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2018-April).

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

2017

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

Luo, D., Huo, Z., Wang, Y., Saykin, A. J., Shen, L. & Huang, H., Jan 31 2017, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Wu, X., Baeza-Yates, R., Domingo-Ferrer, J. & Zhou, Z-H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 301-310 10 p. 7837854. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

1 Scopus citations

Mapping longitudinal scientific progress, collaboration and impact of the Alzheimer’s disease neuroimaging initiative

Alzheimer’s Disease Neuroimaging Initiative, Nov 1 2017, In : PLoS One. 12, 11, e0186095.

Research output: Contribution to journalArticle

5 Scopus citations
2016

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
2017

Identifying associations between brain imaging phenotypes and genetic factors via a novel structured SCCA approach

Du, L., Zhang, T., Liu, K., Yan, J., Yao, X., Risacher, S. L., Saykin, A., Han, J., Guo, L. & Shen, L., 2017, Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings. Springer Verlag, Vol. 10265 LNCS. p. 543-555 13 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

5 Scopus citations
2018

Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning

Lu, L., Wang, H., Yao, X., Risacher, S., Saykin, A. & Shen, L., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 545-548 4 p.

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

2 Scopus citations

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
2017

Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules

Yao, X., Yan, J., Risacher, S., Moore, J., Saykin, A. & Shen, L., Jun 16 2017, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 6170-6174 5 p. 7953342. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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

2016

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

2018

A novel SCCA approach via truncated â.," 1-norm and truncated group lasso for brain imaging genetics

Du, L., Liu, K., Zhang, T., Yao, X., Yan, J., Risacher, S. L., Han, J., Guo, L., Saykin, A. J. & Shen, L., Jan 15 2018, In : Bioinformatics. 34, 2, p. 278-285 8 p.

Research output: Contribution to journalArticle

10 Scopus citations

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