Andrew Saykin

  • 28768 Citations
  • 88 h-Index
1986 …2021
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Publications 1986 2019

2019
3 Citations (Scopus)

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
Cerebrospinal Fluid
Amyloid
Alzheimer Disease
Positron-Emission Tomography
Area Under Curve

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

Multi-task Learning
Brain
Imaging
Imaging techniques
Modality
22 Citations (Scopus)

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 1 2019, In : Alzheimer's and Dementia. 15, 1, p. 76-92 17 p.

Research output: Contribution to journalArticle

Open Access
Bile Acids and Salts
Alzheimer Disease
Cholic Acid
Deoxycholic Acid
Brain
10 Citations (Scopus)

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 1 2019, In : Alzheimer's and Dementia. 15, 2, p. 232-244 13 p.

Research output: Contribution to journalArticle

Bile Acids and Salts
Neuroimaging
Cerebrospinal Fluid
Alzheimer Disease
Biomarkers

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
Neuroimaging
Cognition
Cerebrospinal Fluid
Alzheimer Disease
Biomarkers

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

Alzheimer Disease
Depression
Epidemiologic Studies
Sleep
Unconsciousness

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
Meta-Analysis
Immunity
Alzheimer Disease
Lipids

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
Metabolomics
Alzheimer's Disease
Data Classification
dementia
medication
1 Citation (Scopus)

Biological Hallmarks of Cancer in Alzheimer’s Disease

Nudelman, K. N. H., McDonald, B., Lahiri, D. & Saykin, A., Jan 1 2019, In : Molecular Neurobiology.

Research output: Contribution to journalReview article

Alzheimer Disease
Neoplasms
Drug Repositioning
Contact Inhibition
Health Priorities

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
Drug Repositioning
Pharmacogenetics
Alzheimer Disease
Biomarkers
Short-Term Memory

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

Licensure
Psychiatry
Alzheimer Disease
2 Citations (Scopus)
Open Access
Neuroimaging
Alzheimer Disease
Learning
Prodromal Symptoms
PubMed

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

Neuroimaging
Brain
Imaging techniques
Endophenotypes
Learning

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

Alzheimer Disease
Genes
Gene Expression
Disease Progression
Cognition

Effects of chemotherapy on aging white matter microstructure: A longitudinal diffusion tensor imaging study

Chen, B. T., Ye, N., Wong, C. W., Patel, S. K., Jin, T., Sun, C. L., Rockne, R. C., Kim, H., Root, J. C., Saykin, A. J., Ahles, T. A., Holodny, A. I., Prakash, N., Mortimer, J., Sedrak, M. S., Waisman, J., Yuan, Y., Li, D., Vazquez, J., Katheria, V. & 1 others, Dale, W., Jan 1 2019, (Accepted/In press) In : Journal of Geriatric Oncology.

Research output: Contribution to journalArticle

Diffusion Tensor Imaging
Drug Therapy
Breast Neoplasms
Corpus Callosum
Anisotropy

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
DNA Methylation
Epigenomics
Meta-Analysis
Nucleus Accumbens
Thalamus
3 Citations (Scopus)

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., Sukoff Rizzo, S. J. & Howell, G. R., Aug 1 2019, In : Neurobiology of Aging. 80, p. 154-172 19 p.

Research output: Contribution to journalArticle

Open Access
Obesity
Brain
Myelin Sheath
Diet
Western World
1 Citation (Scopus)

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

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

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

Neuroimaging
Single Nucleotide Polymorphism
Feature extraction
Brain
Learning

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

Axonal Transport
Globus Pallidus
Caudate Nucleus
Genome-Wide Association Study
Putamen
64 Citations (Scopus)

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

Meta-Analysis
Immunity
Alzheimer Disease
Lipids
Serum Amyloid A Protein
2 Citations (Scopus)

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
Genome-Wide Association Study
Neurogenesis
Genes
Parahippocampal Gyrus
Dentate Gyrus
2 Citations (Scopus)

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., Lee, Y. & Nho, K., Jan 31 2019, In : BMC Medical Genomics. 12, 13.

Research output: Contribution to journalArticle

Exons
Hippocampus
Alzheimer Disease
Single Nucleotide Polymorphism
Amyloid
1 Citation (Scopus)

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
Canonical Correlation Analysis
Longitudinal Study
Longitudinal Studies
Imaging
Imaging techniques

Interactive Machine Learning by Visualization: A Small Data Solution

Li, H., Fang, S., Mukhopadhyay, S., Saykin, A. & 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

Learning systems
Visualization
Data mining
Feedback
Data visualization
1 Citation (Scopus)

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., 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., Jan 1 2019, In : Breast Cancer Research and Treatment.

Research output: Contribution to journalArticle

Adjuvant Chemotherapy
Longitudinal Studies
Breast Neoplasms
Brain
Magnetic Resonance Imaging

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

Dementia
Depression
Alleles
Amyloid
Demography

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 1 2019, In : Contemporary Clinical Trials. 84, 105814.

Research output: Contribution to journalArticle

Food Handling
Dementia
Alzheimer Disease
Cognitive Reserve
Education

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

Brain
Imaging techniques
Neuroimaging
Phenotype
Single Nucleotide Polymorphism

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
Hippocampus
Alzheimer Disease
Biomarkers
Magnetic Resonance Imaging
Diffusion Magnetic Resonance Imaging

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

Nervous System Diseases
Neuroimaging
Dementia
Frontotemporal Dementia
Primary Progressive Nonfluent Aphasia
7 Citations (Scopus)

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

Microglia
brain
Brain
proportion
Chemical activation

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
loci
Alzheimer Disease
Haplotypes
Endophenotypes
brain
3 Citations (Scopus)

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. & Apostolova, L. G., Dec 1 2019, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 11, p. 510-519 10 p.

Research output: Contribution to journalArticle

Open Access
Amyloid
Positron-Emission Tomography
Alzheimer Disease
Biomarkers
Cognitive Dysfunction
8 Citations (Scopus)

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
Disease Progression
Alzheimer Disease
Learning
Neuroimaging
Area Under Curve
2 Citations (Scopus)

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
Disease Progression
Alzheimer Disease
Demography
Complement C1
Prodromal Symptoms
3 Citations (Scopus)

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, Jan 1 2019, (Accepted/In press) In : Journal of Pain and Symptom Management.

Research output: Contribution to journalArticle

Cognition
Survivors
Quality of Life
Breast Neoplasms
Activities of Daily Living
1 Citation (Scopus)

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., Ulmer, J. L., Sinson, G. P., Nencka, A. S., Koch, K. M., Wu, Y-C., Saykin, A., 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 1 2019, In : Journal of Neurotrauma. 36, 11, p. 1776-1785 10 p.

Research output: Contribution to journalArticle

Athletes
Sports
Magnetic Resonance Imaging
Odds Ratio
Wounds and Injuries

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

Biomarkers
Brain
Alzheimer Disease
Learning
Precision Medicine

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

Alzheimer's Disease
Biomarkers
Imaging
Imaging techniques
Paradigm
3 Citations (Scopus)

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

Chasioti, D., Yan, J., Nho, K. & Saykin, A., Jan 1 2019, In : Trends in Genetics.

Research output: Contribution to journalReview article

Precision Medicine
Sample Size
Alzheimer Disease
Research Personnel
Research
4 Citations (Scopus)

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., Farlow, M., Apostolova, L. G., Goñi, J., Dzemidzic, M., Wu, Y-C., Kessler, D., Jeub, L., Fortunato, S., Saykin, A. & Sporns, O., Jan 1 2019, In : NeuroImage: Clinical. 22, 101687.

Research output: Contribution to journalArticle

Alzheimer Disease
Cluster Analysis
Consensus
Brain
Executive Function

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

Alzheimer's Disease Neuroimaging Initiative & Alzheimer Disease Metabolomics Consortium, Dec 1 2019, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 11, p. 619-627 9 p.

Research output: Contribution to journalArticle

Open Access
Alzheimer Disease
Lipids
Serum
Lipid Metabolism
Cerebrospinal Fluid

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

for the Thinking and Living With Cancer Study, Jan 1 2019, (Accepted/In press) In : Cancer.

Research output: Contribution to journalArticle

Sleep
Genotype
Breast Neoplasms
Cognition
Survivors
11 Citations (Scopus)

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 1 2019, In : Alzheimer's and Dementia. 15, 3, p. 465-476 12 p.

Research output: Contribution to journalArticle

Open Access
Dementia
Alzheimer Disease
Incidence
Confidence Intervals
Apolipoprotein E4

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

Alzheimer's Disease Neuroimaging Initiative, Sep 1 2019, In : Neurobiology of Aging. 81, p. 213-221 9 p.

Research output: Contribution to journalArticle

Cerebrovascular Circulation
Alzheimer Disease
Phenotype
Genes
Endophenotypes

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
Telomere
Cognition
Alzheimer Disease
Biomarkers
Executive Function
2 Citations (Scopus)

Telomere Shortening in the Alzheimer's Disease Neuroimaging Initiative Cohort

Nudelman, K. N. H., Lin, J., Lane, K. A., Nho, K., Kim, S., Faber, K. M., Risacher, S. L., Foroud, T., Gao, S., Davis, J. W., Weiner, M. W. & Saykin, A., Jan 1 2019, In : Journal of Alzheimer's Disease. 71, 1, p. 33-43 11 p.

Research output: Contribution to journalArticle

Telomere Shortening
Neuroimaging
Telomere
Alzheimer Disease
Disease Progression
1 Citation (Scopus)

The BIN1 rs744373 SNP is associated with increased tau-PET levels and impaired memory

The Alzheimer’s Disease Neuroimaging Initiative (ADNI), Dec 1 2019, In : Nature communications. 10, 1, 1766.

Research output: Contribution to journalArticle

Open Access
integrators
polymorphism
nucleotides
Polymorphism
genes
2 Citations (Scopus)

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

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

Research output: Contribution to journalArticle

Open Access
Brain
brain
Pipelines
Derivatives
Derivative
2 Citations (Scopus)

Type 2 diabetes mellitus, brain atrophy, and cognitive decline

Moran, C., Beare, R., Wang, W., Callisaya, M., Srikanth, V., Weiner, M., 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., Liu, E., Montine, T., Gamst, A., Thomas, R. G. & 234 others, Donohue, M., Walter, S., Gessert, D., Sather, T., Harvey, D., Kornak, J., Dale, A., Bernstein, M., Felmlee, J., Fox, N., Thompson, P., Schuff, N., Alexander, G., Decarli, C., Bandy, D., Koeppe, R. A., Foster, N., Reiman, E. M., Chen, K., Mathis, C., Cairns, N. J., Taylor-Reinwald, L., Trojanowki, J. Q., Shaw, L., Lee, V. M. Y., Korecka, M., Crawford, K., Neu, S., Foroud, T. M., Potkin, S., Shen, L., Kachaturian, Z., Frank, R., Snyder, P. J., Molchan, S., Kaye, J., Quinn, J., Lind, B., Dolen, S., Schneider, L. S., Pawluczyk, S., Spann, B. M., Brewer, J., Vanderswag, H., Heidebrink, J. L., Lord, J. L., Johnson, K., Doody, R. S., Villanueva-Meyer, J., Chowdhury, M., Stern, Y., Honig, L. S., Bell, K. L., Morris, J. C., Ances, B., Carroll, M., Leon, S., Mintun, M. A., Schneider, S., Marson, D., Griffith, R., Clark, D., Grossman, H., Mitsis, E., Romirowsky, A., Detoledo-Morrell, L., Shah, R. C., Duara, R., Varon, D., Roberts, P., Albert, M., Onyike, C., Kielb, S., Rusinek, H., De Leon, M. J., Glodzik, L., De Santi, S., Doraiswamy, P. M., Petrella, J. R., Coleman, R. E., Arnold, S. E., Karlawish, J. H., Wolk, D., Smith, C. D., Jicha, G., Hardy, P., Lopez, O. L., Oakley, M., Simpson, D. M., Porsteinsson, A. P., Goldstein, B. S., Martin, K., Makino, K. M., Ismail, M. S., Brand, C., Mulnard, R. A., Thai, G., McAdams-Ortiz, C., Womack, K., Mathews, D., Quiceno, M., Diaz-Arrastia, R., King, R., Weiner, M., Martin-Cook, K., Devous, M., Levey, A. I., Lah, J. J., Cellar, J. S., Burns, J. M., Anderson, H. S., Swerdlow, R. H., Apostolova, L., Lu, P. H., Bartzokis, G., Silverman, D. H. S., Graff-Radford, N. R., Parfitt, F., Johnson, H., Farlow, M. R., Hake, A. M., Matthews, B. R., Herring, S., Van Dyck, C. H., Carson, R. E., Macavoy, M. G., Chertkow, H., Bergman, H., Hosein, C., Black, S., Stefanovic, B., Caldwell, C., Robin Hsiung, G. Y., Feldman, H., Mudge, B., Assaly, M., Kertesz, A., Rogers, J., Trost, D., Bernick, C., Munic, D., Kerwin, D., Mesulam, M. M., Lipowski, K., Wu, C. K., Johnson, N., Sadowsky, C., Martinez, W., Villena, T., Turner, R. S., Johnson, K., Reynolds, B., Sperling, R. A., Johnson, K. A., Marshall, G., Frey, M., Yesavage, J., Taylor, J. L., Lane, B., Rosen, A., Tinklenberg, J., Sabbagh, M., Belden, C., Jacobson, S., Kowall, N., Killiany, R., Budson, A. E., Norbash, A., Johnson, P. L., Obisesan, T. O., Wolday, S., Bwayo, S. K., Lerner, A., Hudson, L., Ogrocki, P., Fletcher, E., Carmichael, O., Olichney, J., Kittur, S., Borrie, M., Bartha, D. R., Johnson, S., Asthana, S., Carlsson, C. M., Potkin, S. G., Preda, A., Nguyen, D., Tariot, P., Fleisher, A., Reeder, S., Bates, V., Capote, H., Rainka, M., Scharre, D. W., Kataki, M., Zimmerman, E. A., Celmins, D., Brown, A. D., Pearlson, G. D., Blank, K., Anderson, K., Santulli, R. B., Schwartz, E. S., Sink, K. M., 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., Mintzer, J., Longmire, C. F., Spicer, K., Finger, E., Rachinsky, I., Drost, D., Pomara, N., Hernando, R., Sarrael, A., Schultz, S. K., Boles Ponto, L. L., Shim, H., Smith, K. E., Relkin, N., Chaing, G., Raudin, L., Smith, A., Fargher, K. & Raj, B. A., Feb 19 2019, In : Neurology. 92, 8, p. E823-E830

Research output: Contribution to journalArticle

Type 2 Diabetes Mellitus
Atrophy
Brain
Cognition
Cognitive Reserve