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  • Andrew Saykin
2020

The genetic architecture of the human cerebral cortex

Enhancing NeuroImaging Genetics through Meta-Analysis Consortium (ENIGMA)-Genetics working group, Mar 20 2020, In : Science. 367, 6484, aay6690.

Research output: Contribution to journalArticle

29 Scopus citations
2019

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
2016

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

116 Scopus citations
2017

Transethnic genome-wide scan identifies novel Alzheimer's disease loci

Alzheimer's Disease Genetics Consortium, Jul 2017, In : Alzheimer's and Dementia. 13, 7, p. 727-738 12 p.

Research output: Contribution to journalArticle

45 Scopus citations
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
4 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

23 Scopus citations

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

3 Scopus citations
2020

Systems modeling of white matter microstructural abnormalities in Alzheimer's disease

the Alzheimer's Disease Neuroimaging Initiative (ADNI), 2020, In : NeuroImage: Clinical. 26, 102203.

Research output: Contribution to journalArticle

Open Access
2016

Quantitative Amyloid imaging in autosomal Dominant Alzheimer's disease: Results from the DIAN study group

Su, Y., Blazey, T. M., Owen, C. J., Christensen, J. J., Friedrichsen, K., Joseph-Mathurin, N., Wang, Q., Hornbeck, R. C., Ances, B. M., Snyder, A. Z., Cash, L. A., Koeppe, R. A., Klunk, W. E., Galasko, D., Brickman, A. M., McDade, E., Ringman, J. M., Thompson, P. M., Saykin, A. J., Ghetti, B. & 16 others, Sperling, R. A., Johnson, K. A., Salloway, S. P., Schofield, P. R., Masters, C. L., Villemagne, V. L., Fox, N. C., Förster, S., Chen, K., Reiman, E. M., Xiong, C., Marcus, D. S., Weiner, M. W., Morris, J. C., Bateman, R. J. & Benzinger, T. L. S., Mar 2016, In : PloS one. 11, 3, e0152082.

Research output: Contribution to journalArticle

24 Scopus citations
2019

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

2 Scopus citations
2017

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

23 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
2018

Exome chip analysis identifies low-frequency and rare variants in MRPL38 for white matter hyperintensities on brain magnetic resonance imaging

neuroCHARGE Working Group, 2018, In : Stroke. 49, 8, p. 1812-1819 8 p.

Research output: Contribution to journalArticle

6 Scopus citations

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

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

Research output: Contribution to journalArticle

7 Scopus citations
2019

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. M., Gao, S., Davis, J. W., Weiner, M. W. & Saykin, A. J., 2019, In : Journal of Alzheimer's Disease. 71, 1, p. 33-43 11 p.

Research output: Contribution to journalArticle

6 Scopus citations
2020

Identification of functionally connected multi-omic biomarkers for Alzheimer’s disease using modularity-constrained Lasso

Xie, L., Varathan, P., Nho, K., Saykin, A. J., Salama, P. & Yan, J., Jun 2020, In : PloS one. 15, 6, e0234748.

Research output: Contribution to journalArticle

Open Access
2017
9 Scopus citations

Exploring the nexus of Alzheimer's disease and related dementias with cancer and cancer therapies: A convening of the Alzheimer's Association & Alzheimer's Drug Discovery Foundation

Snyder, H. M., Ahles, T., Calderwood, S., Carrillo, M. C., Chen, H., Chang, C. C. H., Craft, S., De Jager, P., Driver, J. A., Fillit, H., Knopman, D., Lotze, M., Tierney, M. C., Petanceska, S., Saykin, A., Seshadri, S., Shineman, D. & Ganguli, M., Mar 1 2017, In : Alzheimer's and Dementia. 13, 3, p. 267-273 7 p.

Research output: Contribution to journalReview article

13 Scopus citations
2020

Regional imaging genetic enrichment analysis

Yao, X., Cong, S., Yan, J., Risacher, S. L., Saykin, A. J., Moore, J. H. & Shen, L., Apr 15 2020, In : Bioinformatics. 36, 8, p. 2554-2560 7 p.

Research output: Contribution to journalArticle

1 Scopus citations
2018

Bootstrapped Sparse Canonical Correlation Analysis: Mining Stable Imaging and Genetic Associations With Implicit Structure Learning. Mining Stable Imaging and Genetic Associations With Implicit Structure Learning.

Yan, J., Du, L., Kim, S., Risacher, S. L., Huang, H., Inlow, M., Moore, J. H., Saykin, A. J. & Shen, L., Jan 1 2018, Imaging Genetics. Elsevier Inc., p. 101-117 17 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

2020

Association between Common Variants in RBFOX1, an RNA-Binding Protein, and Brain Amyloidosis in Early and Preclinical Alzheimer Disease

Raghavan, N. S., Raghavan, N. S., Raghavan, N. S., Raghavan, N. S., Dumitrescu, L., Dumitrescu, L., Mormino, E., Mahoney, E. R., Mahoney, E. R., Lee, A. J., Lee, A. J., Lee, A. J., Gao, Y., Gao, Y., Gao, Y., Bilgel, M., Goldstein, D., Goldstein, D., Goldstein, D., Harrison, T. & 34 others, Engelman, C. D., Saykin, A. J., Saykin, A. J., Whelan, C. D., Liu, J. Z., Jagust, W., Albert, M., Johnson, S. C., Yang, H. S., Yang, H. S., Johnson, K., Johnson, K., Aisen, P., Resnick, S. M., Sperling, R., Sperling, R., De Jager, P. L., De Jager, P. L., De Jager, P. L., De Jager, P. L., De Jager, P. L., Schneider, J., Bennett, D. A., Schrag, M., Vardarajan, B., Vardarajan, B., Vardarajan, B., Vardarajan, B., Hohman, T. J., Hohman, T. J., Mayeux, R., Mayeux, R., Mayeux, R. & Mayeux, R., 2020, (Accepted/In press) In : JAMA Neurology.

Research output: Contribution to journalArticle

Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification

Alzheimer’s Disease Neuroimaging Initiative, Jul 1 2020, In : Bioinformatics (Oxford, England). 36, 1, p. i371-i379

Research output: Contribution to journalArticle

Open Access

A telescope GWAS analysis strategy, based on SNPs-genes-pathways ensamble and on multivariate algorithms, to characterize late onset Alzheimer’s disease

The Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2020, In : Scientific reports. 10, 1, 12063.

Research output: Contribution to journalArticle

Open Access
2017

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

44 Scopus citations
2019

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

21 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
5 Scopus citations
2020

FAM222A encodes a protein which accumulates in plaques in Alzheimer’s disease

The Alzheimer Disease Neuroimaging Initiative, Dec 1 2020, In : Nature communications. 11, 1, 411.

Research output: Contribution to journalArticle

Open Access
2 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., Sep 1 2020, In : Human Brain Mapping. 41, 13, p. 3737-3748 12 p.

Research output: Contribution to journalArticle

Open Access
2016

Cerebral perfusion and gray matter changes associated with chemotherapy-induced peripheral neuropathy

Nudelman, K. N. H., McDonald, B. C., Wang, Y., Smith, D. J., West, J. D., O'Neill, D. P., Zanville, N. R., Champion, V. L., Schneider, B. P. & Saykin, A. J., Mar 1 2016, In : Journal of Clinical Oncology. 34, 7, p. 677-683 7 p.

Research output: Contribution to journalArticle

20 Scopus citations

Functional neuroanatomical correlates of episodic memory impairment in early phase psychosis

Francis, M. M., Hummer, T. A., Vohs, J. L., Yung, M. G., Liffick, E., Mehdiyoun, N. F., Radnovich, A. J., McDonald, B. C., Saykin, A. J. & Breier, A., Mar 1 2016, In : Brain Imaging and Behavior. 10, 1, p. 1-11 11 p.

Research output: Contribution to journalArticle

9 Scopus citations
2018

Characteristic patterns of inter- and intra-hemispheric metabolic connectivity in patients with stable and progressive mild cognitive impairment and Alzheimer’s disease

for the Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2018, In : Scientific reports. 8, 1, 13807.

Research output: Contribution to journalArticle

4 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

9 Scopus citations
2017

Brain explorer for connectomic analysis

for the Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2017, In : Brain Informatics. 4, 4, p. 253-269 17 p.

Research output: Contribution to journalArticle

1 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

29 Scopus citations
2020

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., Mar 2020, In : Journal of Geriatric Oncology. 11, 2, p. 290-296 7 p.

Research output: Contribution to journalArticle

2 Scopus citations
2018

Task-evoked functional connectivity does not explain functional connectivity differences between rest and task conditions

Lynch, L. K., Lu, K. H., Wen, H., Zhang, Y., Saykin, A. J. & Liu, Z., Dec 2018, In : Human Brain Mapping. 39, 12, p. 4939-4948 10 p.

Research output: Contribution to journalArticle

5 Scopus citations
2017

Age at injury is associated with the long-term cognitive outcome of traumatic brain injuries

Alzheimer's Disease Neuroimaging Initiative, 2017, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 6, p. 196-200 5 p.

Research output: Contribution to journalArticle

8 Scopus citations

Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics

Du, L., Zhang, T., Liu, K., Yao, X., Yan, J., Risacher, S. L., Guo, L., Saykin, A. J. & Shen, L., Jan 17 2017, Proceedings - 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016. Burrage, K., Zhu, Q., Liu, Y., Tian, T., Wang, Y., Hu, X. T., Jiang, Q., Song, J., Morishita, S., Burrage, K. & Wang, G. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 707-711 5 p. 7822605. (Proceedings - 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016).

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

4 Scopus citations
2016
1 Scopus citations
2018

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
2017

The Impact of Using Different Reference Populations on Measurement of Breast Cancer-Related Cognitive Impairment Rates

Thinking and Living with Cancer (TLC) Study, Nov 24 2017, In : Archives of Clinical Neuropsychology. 33, 8, p. 956-963 8 p.

Research output: Contribution to journalArticle

5 Scopus citations

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

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

Research output: Contribution to journalArticle

17 Scopus citations
2020

Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach

Du, L., Liu, K., Yao, X., Risacher, S. L., Han, J., Saykin, A. J., Guo, L. & Shen, L., Apr 2020, In : Medical Image Analysis. 61, 101656.

Research output: Contribution to journalArticle

1 Scopus citations
2016

Reply

Nho, K. & Saykin, A. J., Feb 1 2016, In : Annals of neurology. 79, 2, p. 335 1 p.

Research output: Contribution to journalLetter

Apathy is associated with ventral striatum volume in schizophrenia spectrum disorder

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

Research output: Contribution to journalArticle

5 Scopus citations

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., 2016, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 5, p. 53-66 14 p.

Research output: Contribution to journalArticle

13 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

4 Scopus citations
2018

Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference

The Genetic FTD Initiative (GENFI) & The Alzheimer’s Disease Neuroimaging Initiative (ADNI), Dec 1 2018, In : Nature communications. 9, 1, 4273.

Research output: Contribution to journalArticle

30 Scopus citations
2017

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

Alzheimer’s Disease Neuroimaging Initiative, Nov 2017, In : PloS one. 12, 11, e0186095.

Research output: Contribution to journalArticle

5 Scopus citations
2020

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., 2020, (Accepted/In press) In : Molecular Psychiatry.

Research output: Contribution to journalArticle

Open Access
3 Scopus citations