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  • Andrew Saykin
2018

Cancer-related cognitive outcomes among older breast cancer survivors in the thinking and living with cancer study

Mandelblatt, J. S., Small, B. J., Luta, G., Hurria, A., Jim, H., McDonald, B. C., Graham, D., Zhou, X., Clapp, J., Zhai, W., Breen, E., Carroll, J. E., Denduluri, N., Dilawari, A., Extermann, M., Isaacs, C., Jacobsen, P. B., Kobayashi, L. C., Holohan Nudelman, K., Root, J. & 6 others, Stern, R. A., Tometich, D., Turner, R., VanMeter, J. W., Saykin, A. J. & Ahles, T., Nov 10 2018, In : Journal of Clinical Oncology. 36, 32, p. 3211-3222 12 p.

Research output: Contribution to journalArticle

20 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

18 Scopus citations
8 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

Genetic influences on schizophrenia and subcortical brain volumes: Large-scale proof of concept

Psychosis Endophenotypes International Consortium, Feb 23 2016, In : Nature Neuroscience. 19, 3, p. 420-431 12 p.

Research output: Contribution to journalArticle

111 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

Association of Altered Liver Enzymes With Alzheimer Disease Diagnosis, Cognition, Neuroimaging Measures, and Cerebrospinal Fluid Biomarkers

Alzheimer’s Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium, Jul 3 2019, In : JAMA Network Open. 2, 7, p. e197978

Research output: Contribution to journalArticle

Open Access
2 Scopus citations
2017

Transcriptome-guided imaging genetic analysis via a novel sparse CCA algorithm

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. 220-229 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

2019

Progress in Polygenic Composite Scores in Alzheimer's and Other Complex Diseases

Chasioti, D., Yan, J., Nho, K. & Saykin, A. J., May 2019, In : Trends in Genetics. 35, 5, p. 371-382 12 p.

Research output: Contribution to journalReview article

6 Scopus citations

Sets of coregulated serum lipids are associated with Alzheimer's disease pathophysiology

Alzheimer's Disease Neuroimaging Initiative & Alzheimer Disease Metabolomics Consortium, Dec 2019, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 11, p. 619-627 9 p.

Research output: Contribution to journalArticle

Open Access
1 Scopus citations

White matter alterations in early-stage Alzheimer's disease: A tract-specific study

Wen, Q., Mustafi, S. M., Li, J., Risacher, S. L., Tallman, E., Brown, S. A., West, J. D., Harezlak, J., Farlow, M. R., Unverzagt, F. W., Gao, S., Apostolova, L. G., Saykin, A. J. & Wu, Y. C., Dec 2019, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 11, p. 576-587 12 p.

Research output: Contribution to journalArticle

Open Access
2 Scopus citations

Altered bile acid profile associates with cognitive impairment in Alzheimer's disease—An emerging role for gut microbiome

Alzheimer's Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium, Jan 2019, In : Alzheimer's and Dementia. 15, 1, p. 76-92 17 p.

Research output: Contribution to journalArticle

Open Access
37 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

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

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
2016

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

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

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. J., 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

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

2017

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
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

9 Scopus citations
2017

Association of plasma neurofilament light with neurodegeneration in patients with Alzheimer disease

Alzheimer's Disease Neuroimaging Initiative, May 2017, In : JAMA Neurology. 74, 5, p. 557-566 10 p.

Research output: Contribution to journalArticle

174 Scopus citations

Alzheimer disease brain atrophy subtypes are associated with cognition and rate of decline

Alzheimer's Disease Neuroimaging Initiative, Jan 1 2017, In : Neurology. 89, 21, p. 2176-2186 11 p.

Research output: Contribution to journalArticle

25 Scopus citations
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

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

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
2016

Alzheimer's disease risk polymorphisms regulate gene expression in the ZCWPW1 and the CELF1 loci

Alzheimer's Disease Genetics Consortium (ADGC), Feb 2016, In : PloS one. 11, 2, e0148717.

Research output: Contribution to journalArticle

33 Scopus citations

Early role of vascular dysregulation on late-onset Alzheimer's disease based on multifactorial data-driven analysis

The Alzheimer's Disease Neuroimaging Initiative, Jun 21 2016, In : Nature communications. 7, 11934.

Research output: Contribution to journalArticle

270 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

100 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

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
2019

Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning

Hao, X., Yao, X., Risacher, S. L., Saykin, A. J., Yu, J., Wang, H., Tan, L., Shen, L. & Zhang, D., Nov 1 2019, In : IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16, 6, p. 1986-1996 11 p., 8355682.

Research output: Contribution to journalArticle

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
2019

Blood biomarkers for memory: toward early detection of risk for Alzheimer disease, pharmacogenomics, and repurposed drugs

Niculescu, A. B., Le-Niculescu, H., Roseberry, K., Wang, S., Hart, J., Kaur, A., Robertson, H., Jones, T., Strasburger, A., Williams, A., Kurian, S. M., Lamb, B., Shekhar, A., Lahiri, D. K. & Saykin, A. J., Jan 1 2019, (Accepted/In press) In : Molecular Psychiatry.

Research output: Contribution to journalArticle

Open Access
1 Scopus citations
2018

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

17 Scopus citations
2019

Diagnosis status guided brain imaging genetics via integrated regression and sparse canonical correlation analysis

Du, L., Liu, K., Yao, X., Risacher, S. L., Guo, L., Saykin, A. J. & Shen, L., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 356-359 4 p. 8759489. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

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

1 Scopus citations

Prioritizing Amyloid Imaging Biomarkers in Alzheimer’s Disease via Learning to Rank

for the ADNI, Jan 1 2019, Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhu, D., Yan, J., Huang, H., Shen, L., Thompson, P. M., Westin, C-F., Pennec, X., Joshi, S., Nielsen, M., Sommer, S., Fletcher, T. & Durrleman, S. (eds.). Springer, p. 139-148 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11846 LNCS).

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

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

7 Scopus citations
2018

Heritability estimation of reliable connectomic features

Xie, L., Amico, E., Salama, P., Wu, Y. C., Fang, S., Sporns, O., Saykin, A. J., Goñi, J., Yan, J. & Shen, L., Jan 1 2018, Connectomics in NeuroImaging - 2nd International Workshop, CNI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Wu, G., Schirmer, M. D., Chung, A. W., Rekik, I. & Munsell, B. (eds.). Springer Verlag, p. 58-66 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11083 LNCS).

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

1 Scopus citations
2019

Regional Amyloid-β Load and White Matter Abnormalities Contribute to Hypometabolism in Alzheimer’s Dementia

for the Alzheimer’s Disease Neuroimaging Initiative, Jul 1 2019, In : Molecular Neurobiology. 56, 7, p. 4916-4924 9 p.

Research output: Contribution to journalArticle

3 Scopus citations

Genetic architecture of subcortical brain structures in 38,851 individuals

Satizabal, C. L., Adams, H. H. H., Hibar, D. P., White, C. C., Knol, M. J., Stein, J. L., Scholz, M., Sargurupremraj, M., Jahanshad, N., Roshchupkin, G. V., Smith, A. V., Bis, J. C., Jian, X., Luciano, M., Hofer, E., Teumer, A., van der Lee, S. J., Yang, J., Yanek, L. R., Lee, T. V. & 269 others, Li, S., Hu, Y., Koh, J. Y., Eicher, J. D., Desrivières, S., Arias-Vasquez, A., Chauhan, G., Athanasiu, L., Rentería, M. E., Kim, S., Hoehn, D., Armstrong, N. J., Chen, Q., Holmes, A. J., den Braber, A., Kloszewska, I., Andersson, M., Espeseth, T., Grimm, O., Abramovic, L., Alhusaini, S., Milaneschi, Y., Papmeyer, M., Axelsson, T., Ehrlich, S., Roiz-Santiañez, R., Kraemer, B., Håberg, A. K., Jones, H. J., Pike, G. B., Stein, D. J., Stevens, A., Bralten, J., Vernooij, M. W., Harris, T. B., Filippi, I., Witte, A. V., Guadalupe, T., Wittfeld, K., Mosley, T. H., Becker, J. T., Doan, N. T., Hagenaars, S. P., Saba, Y., Cuellar-Partida, G., Amin, N., Hilal, S., Nho, K., Mirza-Schreiber, N., Arfanakis, K., Becker, D. M., Ames, D., Goldman, A. L., Lee, P. H., Boomsma, D. I., Lovestone, S., Giddaluru, S., Le Hellard, S., Mattheisen, M., Bohlken, M. M., Kasperaviciute, D., Schmaal, L., Lawrie, S. M., Agartz, I., Walton, E., Tordesillas-Gutierrez, D., Davies, G. E., Shin, J., Ipser, J. C., Vinke, L. N., Hoogman, M., Jia, T., Burkhardt, R., Klein, M., Crivello, F., Janowitz, D., Carmichael, O., Haukvik, U. K., Aribisala, B. S., Schmidt, H., Strike, L. T., Cheng, C. Y., Risacher, S. L., Pütz, B., Fleischman, D. A., Assareh, A. A., Mattay, V. S., Buckner, R. L., Mecocci, P., Dale, A. M., Cichon, S., Boks, M. P., Matarin, M., Penninx, B. W. J. H., Calhoun, V. D., Chakravarty, M. M., Marquand, A. F., Macare, C., Kharabian Masouleh, S., Oosterlaan, J., Amouyel, P., Hegenscheid, K., Rotter, J. I., Schork, A. J., Liewald, D. C. M., de Zubicaray, G. I., Wong, T. Y., Shen, L., Sämann, P. G., Brodaty, H., Roffman, J. L., de Geus, E. J. C., Tsolaki, M., Erk, S., van Eijk, K. R., Cavalleri, G. L., van der Wee, N. J. A., McIntosh, A. M., Gollub, R. L., Bulayeva, K. B., Bernard, M., Richards, J. S., Himali, J. J., Loeffler, M., Rommelse, N., Hoffmann, W., Westlye, L. T., Valdés Hernández, M. C., Hansell, N. K., van Erp, T. G. M., Wolf, C., Kwok, J. B. J., Vellas, B., Heinz, A., Olde Loohuis, L. M., Delanty, N., Ho, B. C., Ching, C. R. K., Shumskaya, E., Singh, B., Hofman, A., van der Meer, D., Homuth, G., Psaty, B. M., Bastin, M. E., Montgomery, G. W., Foroud, T. M., Reppermund, S., Hottenga, J. J., Simmons, A., Meyer-Lindenberg, A., Cahn, W., Whelan, C. D., van Donkelaar, M. M. J., Yang, Q., Hosten, N., Green, R. C., Thalamuthu, A., Mohnke, S., Hulshoff Pol, H. E., Lin, H., Jack, C. R., Schofield, P. R., Mühleisen, T. W., Maillard, P., Potkin, S. G., Wen, W., Fletcher, E., Toga, A. W., Gruber, O., Huentelman, M., Davey Smith, G., Launer, L. J., Nyberg, L., Jönsson, E. G., Crespo-Facorro, B., Koen, N., Greve, D. N., Uitterlinden, A. G., Weinberger, D. R., Steen, V. M., Fedko, I. O., Groenewold, N. A., Niessen, W. J., Toro, R., Tzourio, C., Longstreth, W. T., Ikram, M. K., Smoller, J. W., van Tol, M. J., Sussmann, J. E., Paus, T., Lemaître, H., Schroeter, M. L., Mazoyer, B., Andreassen, O. A., Holsboer, F., Depondt, C., Veltman, D. J., Turner, J. A., Pausova, Z., Schumann, G., van Rooij, D., Djurovic, S., Deary, I. J., McMahon, K. L., Müller-Myhsok, B., Brouwer, R. M., Soininen, H., Pandolfo, M., Wassink, T. H., Cheung, J. W., Wolfers, T., Martinot, J. L., Zwiers, M. P., Nauck, M., Melle, I., Martin, N. G., Kanai, R., Westman, E., Kahn, R. S., Sisodiya, S. M., White, T., Saremi, A., van Bokhoven, H., Brunner, H. G., Völzke, H., Wright, M. J., van ‘t Ent, D., Nöthen, M. M., Ophoff, R. A., Buitelaar, J. K., Fernández, G., Sachdev, P. S., Rietschel, M., van Haren, N. E. M., Fisher, S. E., Beiser, A. S., Francks, C., Saykin, A. J., Mather, K. A., Romanczuk-Seiferth, N., Hartman, C. A., DeStefano, A. L., Heslenfeld, D. J., Weiner, M. W., Walter, H., Hoekstra, P. J., Nyquist, P. A., Franke, B., Bennett, D. A., Grabe, H. J., Johnson, A. D., Chen, C., van Duijn, C. M., Lopez, O. L., Fornage, M., Wardlaw, J. M., Schmidt, R., DeCarli, C., De Jager, P. L., Villringer, A., Debette, S., Gudnason, V., Medland, S. E., Shulman, J. M., Thompson, P. M., Seshadri, S. & Ikram, M. A., Nov 1 2019, In : Nature genetics. 51, 11, p. 1624-1636 13 p.

Research output: Contribution to journalArticle

5 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

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

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

2018

Spatial patterns of neuroimaging biomarker change in individuals from families with autosomal dominant Alzheimer's disease: a longitudinal study

Gordon, B. A., Blazey, T. M., Su, Y., Hari-Raj, A., Dincer, A., Flores, S., Christensen, J., McDade, E., Wang, G., Xiong, C., Cairns, N. J., Hassenstab, J., Marcus, D. S., Fagan, A. M., Jack, C. R., Hornbeck, R. C., Paumier, K. L., Ances, B. M., Berman, S. B., Brickman, A. M. & 20 others, Cash, D. M., Chhatwal, J. P., Correia, S., Förster, S., Fox, N. C., Graff-Radford, N. R., la Fougère, C., Levin, J., Masters, C. L., Rossor, M. N., Salloway, S., Saykin, A. J., Schofield, P. R., Thompson, P. M., Weiner, M. M., Holtzman, D. M., Raichle, M. E., Morris, J. C., Bateman, R. J. & Benzinger, T. L. S., Mar 2018, In : The Lancet Neurology. 17, 3, p. 241-250 10 p.

Research output: Contribution to journalArticle

62 Scopus citations
2016

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

116 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
2016
13 Scopus citations

Alpha-synuclein (SNCA) polymorphisms exert protective effects on memory after mild traumatic brain injury

Shee, K., Lucas, A., Flashman, L. A., Nho, K., Tsongalis, G. J., McDonald, B. C., Saykin, A. J., McAllister, T. W. & Rhodes, C. H., Sep 6 2016, In : Neuroscience Letters. 630, p. 241-246 6 p.

Research output: Contribution to journalArticle

1 Scopus citations
2018

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

21 Scopus citations