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  • Andrew Saykin
2019

A blood-based signature of cerebrospinal fluid Aβ 1–42 status

Alzheimer’s Disease Metabolomics Consortium & Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2019, In : Scientific reports. 9, 1, 4163.

Research output: Contribution to journalArticle

Open Access
3 Scopus citations

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

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
38 Scopus citations

Altered bile acid profile in mild cognitive impairment and Alzheimer's disease: Relationship to neuroimaging and CSF biomarkers

Alzheimer's Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium, Feb 2019, In : Alzheimer's and Dementia. 15, 2, p. 232-244 13 p.

Research output: Contribution to journalArticle

18 Scopus citations

A Novel Joint Brain Network Analysis Using Longitudinal Alzheimer’s Disease Data

The Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2019, In : Scientific reports. 9, 1, 19589.

Research output: Contribution to journalArticle

Open Access

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
4 Scopus citations

Associations between Depression, Traumatic Brain Injury, and Cognitively-Defined Late-Onset Alzheimer's Disease Subgroups

the Executive Prominent AD (EPAD) investigators, Jan 1 2019, In : Journal of Alzheimer's Disease. 70, 2, p. 609-617 9 p.

Research output: Contribution to journalArticle

1 Scopus citations

Author Correction: Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing (Nature Genetics, (2019), 51, 3, (414-430), 10.1038/s41588-019-0358-2)

Alzheimer Disease Genetics Consortium (ADGC), The European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE) & Genetic and Environmental Risk in AD/Defining Genetic, Polygenic and Environmental Risk for Alzheimer’s Disease Consortium (GERAD/PERADES), Sep 1 2019, In : Nature genetics. 51, 9, p. 1423-1424 2 p.

Research output: Contribution to journalComment/debate

Open Access

Bile acids targeted metabolomics and medication classification data in the ADNI1 and ADNIGO/2 cohorts

Alzheimer’s Disease Neuroimaging Initiative & Alzheimer’s Disease Metabolomics Consortium, Oct 17 2019, In : Scientific Data. 6, 1, 1 p.

Research output: Contribution to journalArticle

Open Access

Biological Hallmarks of Cancer in Alzheimer’s Disease

Nudelman, K. N. H., McDonald, B. C., Lahiri, D. K. & Saykin, A. J., Oct 1 2019, In : Molecular Neurobiology. 56, 10, p. 7173-7187 15 p.

Research output: Contribution to journalReview article

6 Scopus citations

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

Cerebral blood flow in acute concussion: preliminary ASL findings from the NCAA-DoD CARE consortium

Wang, Y., Nencka, A. S., Meier, T. B., Guskiewicz, K., Mihalik, J. P., Alison Brooks, M., Saykin, A. J., Koch, K. M., Wu, Y. C., Nelson, L. D., McAllister, T. W., Broglio, S. P. & McCrea, M. A., Oct 1 2019, In : Brain Imaging and Behavior. 13, 5, p. 1375-1385 11 p.

Research output: Contribution to journalArticle

5 Scopus citations

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

Open Access
12 Scopus citations

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

Disruption of gene co-expression network along the progression of Alzheimer's disease

Upadhyaya, Y., Xie, L., Salama, P., Nho, K., Saykin, A. J. & Yan, J., May 2019, 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8834551. (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings).

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

Epigenome-wide meta-analysis of blood DNA methylation and its association with subcortical volumes: findings from the ENIGMA Epigenetics Working Group

Jia, T., Chu, C., Liu, Y., van Dongen, J., Papastergios, E., Armstrong, N. J., Bastin, M. E., Carrillo-Roa, T., den Braber, A., Harris, M., Jansen, R., Liu, J., Luciano, M., Ori, A. P. S., Roiz Santiañez, R., Ruggeri, B., Sarkisyan, D., Shin, J., Sungeun, K., Tordesillas Gutiérrez, D. & 62 others, van’t Ent, D., Ames, D., Artiges, E., Bakalkin, G., Banaschewski, T., Bokde, A. L. W., Brodaty, H., Bromberg, U., Brouwer, R., Büchel, C., Burke Quinlan, E., Cahn, W., de Zubicaray, G. I., Ehrlich, S., Ekström, T. J., Flor, H., Fröhner, J. H., Frouin, V., Garavan, H., Gowland, P., Heinz, A., Hoare, J., Ittermann, B., Jahanshad, N., Jiang, J., Kwok, J. B., Martin, N. G., Martinot, J. L., Mather, K. A., McMahon, K. L., McRae, A. F., Nees, F., Papadopoulos Orfanos, D., Paus, T., Poustka, L., Sämann, P. G., Schofield, P. R., Smolka, M. N., Stein, D. J., Strike, L. T., Teeuw, J., Thalamuthu, A., Trollor, J., Walter, H., Wardlaw, J. M., Wen, W., Whelan, R., Apostolova, L. G., Binder, E. B., Boomsma, D. I., Calhoun, V., Crespo-Facorro, B., Deary, I. J., Hulshoff Pol, H., Ophoff, R. A., Pausova, Z., Sachdev, P. S., Saykin, A., Wright, M. J., Thompson, P. M., Schumann, G. & Desrivières, S., Jan 1 2019, (Accepted/In press) In : Molecular Psychiatry.

Research output: Contribution to journalArticle

Open Access
1 Scopus citations

Exercise prevents obesity-induced cognitive decline and white matter damage in mice

Graham, L. C., Grabowska, W. A., Chun, Y., Risacher, S. L., Philip, V. M., Saykin, A. J., Sukoff Rizzo, S. J. & Howell, G. R., Aug 2019, In : Neurobiology of Aging. 80, p. 154-172 19 p.

Research output: Contribution to journalArticle

Open Access
8 Scopus citations

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. J. & 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

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

6 Scopus citations

Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing

Alzheimer Disease Genetics Consortium (ADGC), The European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE), & Genetic and Environmental Risk in AD/Defining Genetic, Polygenic and Environmental Risk for Alzheimer’s Disease Consortium (GERAD/PERADES), Mar 1 2019, In : Nature genetics. 51, 3, p. 414-430 17 p.

Research output: Contribution to journalArticle

148 Scopus citations

Genome-wide association analysis of hippocampal volume identifies enrichment of neurogenesis-related pathways

Alzheimer’s Disease Neuroimaging Initiative (ADNI), Dec 1 2019, In : Scientific reports. 9, 1, 14498.

Research output: Contribution to journalArticle

Open Access
2 Scopus citations

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

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

4 Scopus citations

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

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

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

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

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

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 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

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

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

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

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

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 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

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

Prevalence of Potentially Clinically Significant Magnetic Resonance Imaging Findings in Athletes with and without Sport-Related Concussion

Klein, A. P., Tetzlaff, J. E., Bonis, J. M., Nelson, L. D., Mayer, A. R., Huber, D. L., Harezlak, J., Mathews, V. P., Ulmer, J. L., Sinson, G. P., Nencka, A. S., Koch, K. M., Wu, Y. C., Saykin, A. J., DiFiori, J. P., Giza, C. C., Goldman, J., Guskiewicz, K. M., Mihalik, J. P., Duma, S. M. & 6 others, Rowson, S., Brooks, A., Broglio, S. P., McAllister, T., McCrea, M. A. & Meier, T. B., Jun 2019, In : Journal of neurotrauma. 36, 11, p. 1776-1785 10 p.

Research output: Contribution to journalArticle

5 Scopus citations

Prioritization of cognitive assessments in Alzheimer's disease via learning to rank using brain morphometric data

Peng, B., Yao, X., Risacher, S. L., Saykin, A. J., Shen, L. & Ning, X., May 2019, 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8834618. (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings).

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

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

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

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

4 Scopus citations

Resting state network modularity along the prodromal late onset Alzheimer's disease continuum

Contreras, J. A., Avena-Koenigsberger, A., Risacher, S. L., West, J. D., Tallman, E., McDonald, B. C., Farlow, M. R., Apostolova, L. G., Goñi, J., Dzemidzic, M., Wu, Y. C., Kessler, D., Jeub, L., Fortunato, S., Saykin, A. J. & Sporns, O., Jan 1 2019, In : NeuroImage: Clinical. 22, 101687.

Research output: Contribution to journalArticle

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
2 Scopus citations

Sleep disturbance and neurocognitive outcomes in older patients with breast cancer: Interaction with genotype

for the Thinking and Living With Cancer Study, Dec 15 2019, In : Cancer. 125, 24, p. 4516-4524 9 p.

Research output: Contribution to journalArticle

Subjective cognitive decline and rates of incident Alzheimer's disease and non–Alzheimer's disease dementia

Alzheimer's Disease Neuroimaging Initiative, DESCRIPA working group, INSIGHT-preAD study group & SCD-I working group, Mar 2019, In : Alzheimer's and Dementia. 15, 3, p. 465-476 12 p.

Research output: Contribution to journalArticle

Open Access
27 Scopus citations

Targeted genetic analysis of cerebral blood flow imaging phenotypes implicates the INPP5D gene

Alzheimer's Disease Neuroimaging Initiative, Sep 2019, In : Neurobiology of Aging. 81, p. 213-221 9 p.

Research output: Contribution to journalArticle

1 Scopus citations

Telomere length associations with cognition depend on Alzheimer's disease biomarkers

Alzheimer's Disease Neuroimaging Initiative, 2019, In : Alzheimer's and Dementia: Translational Research and Clinical Interventions. 5, p. 883-890 8 p.

Research output: Contribution to journalArticle

Open Access