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  • Andrew Saykin

Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: A longitudinal study of the ADNI cohort

Du, L., Liu, K., Zhu, L., Yao, X., Risacher, S. L., Guo, L., Saykin, A. J. & Shen, L., Jul 15 2019, In : Bioinformatics. 35, 14, p. i474-i483 btz320.

Research output: Contribution to journalArticle

Open Access
3 Scopus citations

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

7 Scopus citations
1 Scopus citations

Imaging genomics discovery of a new risk variant for Alzheimer's disease in the postsynaptic SHARPIN gene

Soheili-Nezhad, S., Jahanshad, N., Guelfi, S., Khosrowabadi, R., Saykin, A. J., Thompson, P. M., Beckmann, C. F., Sprooten, E. & Zarei, M., Jan 1 2020, (Accepted/In press) In : Human Brain Mapping.

Research output: Contribution to journalArticle

Open Access

Implementation of subjective cognitive decline criteria in research studies

Subjective Cognitive Decline Initiative (SCD-I) Working Group, Mar 1 2017, In : Alzheimer's and Dementia. 13, 3, p. 296-311 16 p.

Research output: Contribution to journalShort survey

107 Scopus citations

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

Integration of bioinformatics and imaging informatics for identifying rare PSEN1 variants in Alzheimer's disease

Nho, K., Horgusluoglu, E., Kim, S., Risacher, S. L., Kim, D., Foroud, T., Aisen, P. S., Petersen, R. C., Jack, C. R., Shaw, L. M., Trojanowski, J. Q., Weiner, M. W., Green, R. C., Toga, A. W. & Saykin, A. J., Aug 12 2016, In : BMC Medical Genomics. 9, 30.

Research output: Contribution to journalArticle

9 Scopus citations

Interactive Machine Learning by Visualization: A Small Data Solution

Li, H., Fang, S., Mukhopadhyay, S., Saykin, A. J. & Shen, L., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 3513-3521 9 p. 8621952. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

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

International cognition and cancer task force recommendations for neuroimaging methods in the study of cognitive impairment in non-CNS cancer patients

Deprez, S., Kesler, S. R., Saykin, A. J., Silverman, D. H. S., De Ruiter, M. B. & McDonald, B. C., Mar 1 2018, In : Journal of the National Cancer Institute. 110, 3, p. 223-231 9 p.

Research output: Contribution to journalReview article

18 Scopus citations

Intrinsic brain activity changes associated with adjuvant chemotherapy in older women with breast cancer: a pilot longitudinal study

Chen, B. T., Jin, T., Patel, S. K., Ye, N., Ma, H., Wong, C. W., 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., Sedrak, M. S., Vazquez, J., Katheria, V. & Dale, W., Jul 15 2019, In : Breast Cancer Research and Treatment. 176, 1, p. 181-189 9 p.

Research output: Contribution to journalArticle

4 Scopus citations

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

Joint high-order multi-task feature learning to predict the progression of Alzheimer’s disease

ADNI, Jan 1 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Schnabel, J. A., Davatzikos, C., Alberola-López, C., Fichtinger, G. & Frangi, A. F. (eds.). Springer Verlag, p. 555-562 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11070 LNCS).

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

4 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

Latent Classes of Cognitive Functioning among Depressed Older Adults Without Dementia

Morin, R. T., Insel, P., Nelson, C., Butters, M., Bickford, D., Landau, S., Saykin, A., Weiner, M. & Mackin, R. S., Jan 1 2019, In : Journal of the International Neuropsychological Society.

Research output: Contribution to journalArticle

1 Scopus citations

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

Wang, X., Yan, J., Yao, X., Kim, S., Nho, K., Risacher, S. L., Saykin, A. J., Shen, L. & Huang, H., Jul 2018, In : Journal of Computational Biology. 25, 7, p. 809-824 16 p.

Research output: Contribution to journalArticle

1 Scopus citations

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

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

Huang, M., Yang, W., Feng, Q., Chen, W., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., Trojanowki, J. Q., Toga, A. W., Beckett, L., Green, R. C., Saykin, A. J., Morris, J. C., Shaw, L. M., Kaye, J., Quinn, J., Silbert, L., Lind, B. & 219 others, 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., 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., Griffith, R., Clark, D., Geldmacher, D., Brockington, J., Roberson, E., Love, M. N., Grossman, H., Mitsis, E., Shah, R. C., DeToledo-Morrell, L., Duara, R., Varon, D., Greig, M. T., Roberts, P., Albert, M., Onyike, C., D'Agostino, D., Kielb, S., Galvin, J. E., Cerbone, B., Michel, C. A., Pogorelec, D. M., Rusinek, H., De Leon, M. J., Glodzik, L., De Santi, S., Murali Doraiswamy, P., Petrella, J. R., Borges-Neto, S., Wong, T. Z., Coleman, E., Smith, C. D., Jicha, G., Hardy, P., Sinha, P., Oates, E., Conrad, G., Porsteinsson, A. P., Goldstein, B. S., Martin, K., Makino, K. M., Saleem Ismail, M., Brand, C., Mulnard, R. A., Thai, G., Mc-Adams-Ortiz, C., 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., Kendall, T., Johnson, H., Farlow, M. R., Hake, A. M., Brosch, J. R., Herring, S., Hunt, C., Van Dyck, C. H., Carson, R. E., MacAvoy, M. G., Varma, P., Chertkow, H., Bergman, H., Hosein, C., Black, S., Stefanovic, B., Caldwell, C., Hsiung, G. Y. R., 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., 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., Maillard, P., Olichney, J., DeCarli, C., Carmichael, O., Kittur, S., Borrie, M., Lee, T. Y., Bartha, R., Johnson, S., Asthana, S., Carlsson, C. M., Potkin, S. G., Preda, A., Nguyen, D., Tariot, P., Burke, A., Trncic, N., Reeder, S., Bates, V., Capote, H., Rainka, M., Scharre, D. W., Kataki, M., Adeli, A., 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., Querfurth, H., Tremont, G., 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., Relkin, N., Chaing, G., Lin, M., Ravdin, L., Smith, A., Raj, B. A. & Fargher, K., Jan 12 2017, In : Scientific reports. 7, 39880.

Research output: Contribution to journalArticle

25 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

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

Metabolic network failures in Alzheimer's disease: A biochemical road map

Alzheimer's Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium, Sep 2017, In : Alzheimer's and Dementia. 13, 9, p. 965-984 20 p.

Research output: Contribution to journalArticle

81 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

22 Scopus citations

MicroRNA-298 reduces levels of human amyloid-β precursor protein (APP), β-site APP-converting enzyme 1 (BACE1) and specific tau protein moieties

Chopra, N., Wang, R., Maloney, B., Nho, K., Beck, J. S., Pourshafie, N., Niculescu, A., Saykin, A. J., Rinaldi, C., Counts, S. E. & Lahiri, D. K., Jan 1 2020, (Accepted/In press) In : Molecular Psychiatry.

Research output: Contribution to journalArticle

Open Access
2 Scopus citations

MIND food and speed of processing training in older adults with low education, the MINDSpeed Alzheimer's disease prevention pilot trial

Clark, D. O., Xu, H., Moser, L., Adeoye, P., Lin, A. W., Tangney, C. C., Risacher, S. L., Saykin, A. J., Considine, R. V. & Unverzagt, F. W., Sep 2019, In : Contemporary Clinical Trials. 84, 105814.

Research output: Contribution to journalArticle

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

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

Mood, stress and longevity: convergence on ANK3

Rangaraju, S., Levey, D. F., Nho, K., Jain, N., Andrews, K. D., Le-Niculescu, H., Salomon, D. R., Saykin, A., Petrascheck, M. & Niculescu, A., May 24 2016, (Accepted/In press) In : Molecular Psychiatry.

Research output: Contribution to journalArticle

11 Scopus citations

Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images

Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2018, In : Scientific reports. 8, 1, 5697.

Research output: Contribution to journalArticle

Open Access
46 Scopus citations

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
8 Scopus citations

Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease

for the Alzheimer's Disease Neuroimaging Initiative, Feb 2020, In : Medical Image Analysis. 60, 101625.

Research output: Contribution to journalArticle

3 Scopus citations

Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis

Liu, K., Wang, H., 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. 1402-1405 4 p.

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

3 Scopus citations

Network approaches to systems biology analysis of complex disease: Integrative methods for multi-omics data

Yan, J., Risacher, S. L., Shen, L. & Saykin, A. J., May 30 2017, In : Briefings in Bioinformatics. 19, 6, p. 1370-1381 12 p.

Research output: Contribution to journalArticle

39 Scopus citations

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

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

Neuroimaging in aging and neurologic diseases

Risacher, S. L. & Saykin, A. J., 2019, Handbook of Clinical Neurology. Elsevier B.V., p. 191-227 37 p. (Handbook of Clinical Neurology; vol. 167).

Research output: Chapter in Book/Report/Conference proceedingChapter

Neuropathological correlates and genetic architecture of microglial activation in elderly human brain

Felsky, D., Roostaei, T., Nho, K., Risacher, S. L., Bradshaw, E. M., Petyuk, V., Schneider, J. A., Saykin, A., Bennett, D. A. & De Jager, P. L., Dec 1 2019, In : Nature communications. 10, 1, 409.

Research output: Contribution to journalArticle

10 Scopus citations

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

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

Novel genetic loci associated with hippocampal volume

Hibar, D. P., Adams, H. H. H., Jahanshad, N., Chauhan, G., Stein, J. L., Hofer, E., Renteria, M. E., Bis, J. C., Arias-Vasquez, A., Ikram, M. K., Desrivières, S., Vernooij, M. W., Abramovic, L., Alhusaini, S., Amin, N., Andersson, M., Arfanakis, K., Aribisala, B. S., Armstrong, N. J., Athanasiu, L. & 312 others, Axelsson, T., Beecham, A. H., Beiser, A., Bernard, M., Blanton, S. H., Bohlken, M. M., Boks, M. P., Bralten, J., Brickman, A. M., Carmichael, O., Chakravarty, M. M., Chen, Q., Ching, C. R. K., Chouraki, V., Cuellar-Partida, G., Crivello, F., Den Braber, A., Doan, N. T., Ehrlich, S., Giddaluru, S., Goldman, A. L., Gottesman, R. F., Grimm, O., Griswold, M. E., Guadalupe, T., Gutman, B. A., Hass, J., Haukvik, U. K., Hoehn, D., Holmes, A. J., Hoogman, M., Janowitz, D., Jia, T., Jørgensen, K. N., Karbalai, N., Kasperaviciute, D., Kim, S., Klein, M., Kraemer, B., Lee, P. H., Liewald, D. C. M., Lopez, L. M., Luciano, M., MacAre, C., Marquand, A. F., Matarin, M., Mather, K. A., Mattheisen, M., McKay, D. R., Milaneschi, Y., Muñoz Maniega, S., Nho, K., Nugent, A. C., Nyquist, P., Loohuis, L. M. O., Oosterlaan, J., Papmeyer, M., Pirpamer, L., Pütz, B., Ramasamy, A., Richards, J. S., Risacher, S. L., Roiz-Santiañez, R., Rommelse, N., Ropele, S., Rose, E. J., Royle, N. A., Rundek, T., Sämann, P. G., Saremi, A., Satizabal, C. L., Schmaal, L., Schork, A. J., Shen, L., Shin, J., Shumskaya, E., Smith, A. V., Sprooten, E., Strike, L. T., Teumer, A., Tordesillas-Gutierrez, D., Toro, R., Trabzuni, D., Trompet, S., Vaidya, D., Van Der Grond, J., Van Der Lee, S. 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., Wittfeld, K., Woldehawariat, G., Wolf, C., Wolfers, T., Yanek, L. R., Yang, J., Zijdenbos, A., Zwiers, M. P., Agartz, I., 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., 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 Craen, A. J. M., De Geus, E. J. C., De Jager, P. L., De Zubicaray, G. I., Deary, I. J., Debette, S., Decarli, C., Delanty, N., Depondt, C., Destefano, A., Dillman, A., Djurovic, S., Donohoe, G., Drevets, W. C., Duggirala, R., Dyer, T. D., Enzinger, C., Erk, S., Espeseth, T., Fedko, I. O., Fernández, G., Ferrucci, L., Fisher, S. E., Fleischman, D. A., Ford, I., Fornage, M., Foroud, T., Fox, P. T., Francks, C., Fukunaga, M., Gibbs, J. R., Glahn, D. C., Gollub, R. L., Göring, H. H. H., Green, R. C., Gruber, O., Gudnason, V., Guelfi, S., Håberg, A. K., 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., Huentelman, M., Pol, H. E. H., Ikeda, M., 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., Lopez, O. L., Lovestone, S., Martinez, O., Martinot, J. L., Mattay, V. S., McDonald, C., McIntosh, A. M., McMahon, F. J., McMahon, K. L., 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., Schmidt, R., Schmidt, H., Schofield, P. R., Sigursson, S., Simmons, A., Singleton, A., Sisodiya, S. M., Smith, C., Smoller, J. W., Soininen, H., Steen, V. M., Stott, D. J., Sussmann, J. E., Thalamuthu, A., Toga, A. W., Traynor, B. J., Troncoso, J., Tsolaki, M., Tzourio, C., Uitterlinden, A. G., Hernández, M. C. V., Van Der Brug, M., Van Der Lugt, A., Van Der Wee, N. J. A., Van Haren, N. E. M., Van 'T Ent, D., Van Tol, M. J., Vardarajan, B. N., Vellas, B., Veltman, D. J., 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, R. H., Zonderman, A. B., Martin, N. G., Van Duijn, C. M., Wright, M. J., Longstreth, W. T., Schumann, G., Grabe, H. J., Franke, B., Launer, L. J., Medland, S. E., Seshadri, S., Thompson, P. M. & Ikram, M. A., Jan 18 2017, In : Nature communications. 8, 13624.

Research output: Contribution to journalArticle

84 Scopus citations

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. 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82 Scopus citations

Novel Markers of Angiogenesis in the Setting of Cognitive Impairment and Dementia

Callahan, C. M., Apostolova, L., Gao, S., Risacher, S. L., Case, J., Saykin, A. J., Lane, K. A., Swinford, C. G. & Yoder, M. C., Jan 1 2020, In : Journal of Alzheimer's Disease. 75, 3, p. 959-969 11 p.

Research output: Contribution to journalArticle

8 Scopus citations

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

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
4 Scopus citations

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

for the Alzheimer Disease Neuroimaging Initiative, Jan 1 2017, In : Journal of Alzheimer's Disease. 58, 4, p. 1245-1254 10 p.

Research output: Contribution to journalArticle

17 Scopus citations

Predicting Alzheimer’s disease progression using multi-modal deep learning approach

for Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2019, In : Scientific reports. 9, 1, 1952.

Research output: Contribution to journalArticle

Open Access
25 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

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

Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics

for the Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2019, In : Scientific reports. 9, 1, 2235.

Research output: Contribution to journalArticle

Open Access
4 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

16 Scopus citations

Pretreatment Psychoneurological Symptoms and Their Association With Longitudinal Cognitive Function and Quality of Life in Older Breast Cancer Survivors

Thinking and Living with Cancer (TLC) Study, Mar 2019, In : Journal of Pain and Symptom Management. 57, 3, p. 596-606 11 p.

Research output: Contribution to journalArticle

4 Scopus citations