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  • Andrew Saykin
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

4 Scopus citations
2019

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

2017

Genome-wide association and interaction studies of CSF T-tau/Aβ42 ratio in ADNI cohort

Li, J., Zhang, Q., Chen, F., Meng, X., Liu, W., Chen, D., Yan, J., Kim, S., Wang, L., Feng, W., Saykin, A. J., Liang, H. & Shen, L., Sep 2017, In : Neurobiology of Aging. 57, p. 247.e1-247.e8

Research output: Contribution to journalArticle

10 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. & Shen, L., Jan 17 2017, Proceedings - 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016. Institute of Electrical and Electronics Engineers Inc., p. 707-711 5 p. 7822605

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

3 Scopus citations

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
2019

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

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

4 Scopus citations
2017

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

Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis

Hao, X., Li, C., Yan, J., Yao, X., Risacher, S. L., Saykin, A. J., Shen, L. & Zhang, D., Jul 15 2017, In : Bioinformatics. 33, 14, p. i341-i349

Research output: Contribution to journalArticle

7 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
2016

Diagnosis-guided method for identifying multi-modality neuroimaging biomarkers associated with genetic risk factors in Alzheimer’s disease

Hao, X., Yan, J., Yao, X., Risacher, S. L., Saykin, A. J., Zhang, D. & Shen, L., Jan 1 2016, In : Pacific Symposium on Biocomputing. p. 108-119 12 p.

Research output: Contribution to journalConference article

3 Scopus citations
2019

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

4 Scopus citations
2017

Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays

Caiafa, C. F., Sporns, O., Saykin, A. & Pestilli, F., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 4341-4352 12 p.

Research output: Contribution to journalConference article

3 Scopus citations
2019

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. J., 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
2 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

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

3 Scopus citations
2017

Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer’s disease

Kim, D., Basile, A. O., Bang, L., Horgusluoglu, E., Lee, S., Ritchie, M. D., Saykin, A. J. & Nho, K., May 18 2017, In : BMC medical informatics and decision making. 17, 61.

Research output: Contribution to journalArticle

6 Scopus citations
2016

The executive prominent/memory prominent spectrum in Alzheimer's disease are highly heritable

Alzheimer's Disease Neuroimaging Initiative (ADNI1), Alzheimer's Disease Genetics Consortium (ADGC) & Executive Prominent Alzheimer's Disease: Genetics and Risk Factors (EPAD:GRF), May 1 2016, In : Neurobiology of Aging. 41, p. 115-121 7 p.

Research output: Contribution to journalArticle

7 Scopus citations
2017

Incidence of cognitively defined late-onset Alzheimer's dementia subgroups from a prospective cohort study

Executive Prominent Alzheimer's Disease: Genetics and Risk Factors (EPAD:GRF) Investigators, Dec 2017, In : Alzheimer's and Dementia. 13, 12, p. 1307-1316 10 p.

Research output: Contribution to journalArticle

11 Scopus citations
2016
19 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

17 Scopus citations

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

Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules

Alzheimer's Disease Neuroimaging Initiative, Oct 15 2017, In : Bioinformatics. 33, 20, p. 3250-3257 8 p.

Research output: Contribution to journalArticle

8 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

15 Scopus citations
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
2019

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

8 Scopus citations

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
1 Scopus citations

Understanding disease progression and improving Alzheimer's disease clinical trials: Recent highlights from the Alzheimer's Disease Neuroimaging Initiative

Alzheimer's Disease Neuroimaging Initiative, Jan 2019, In : Alzheimer's and Dementia. 15, 1, p. 106-152 47 p.

Research output: Contribution to journalReview article

26 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

2 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

2016

A new statistical image analysis approach and its application to Hippocampal morphometry

ADNI, Jan 1 2016, Medical Imaging and Augmented Reality - 7th International Conference, MIAR 2016, Proceedings. Liao, H., Zheng, G., Lee, S-L., Cattin, P. & Jannin, P. (eds.). Springer Verlag, p. 302-310 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9805 LNCS).

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

1 Scopus citations
2019

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

2016

Externalizing personality traits, empathy, and gray matter volume in healthy young drinkers

Charpentier, J., Dzemidzic, M., West, J., Oberlin, B. G., Eiler, W. J. A., Saykin, A. J. & Kareken, D. A., Feb 28 2016, In : Psychiatry Research - Neuroimaging. 248, p. 64-72 9 p.

Research output: Contribution to journalArticle

4 Scopus citations
2017

Genome-wide association study of language performance in Alzheimer's disease

The Alzheimer's Disease Neuroimaging Initiative, Sep 2017, In : Brain and Language. 172, p. 22-29 8 p.

Research output: Contribution to journalArticle

5 Scopus citations
2019

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

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
7 Scopus citations
2017
8 Scopus citations
2019

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
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

22 Scopus citations
2019

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
3 Scopus citations
2016

Assessment of the genetic variance of late-onset Alzheimer's disease

Alzheimer's Disease Genetics Consortium (ADGC), May 1 2016, In : Neurobiology of Aging. 41, p. 200.e13-200.e20

Research output: Contribution to journalArticle

Open Access

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

8 Scopus citations
2019

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
2017

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

Huang, M., Yang, W., Feng, Q., Chen, W., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., Trojanowki, J. Q., Toga, A. W., Beckett, L., Green, R. C., Saykin, A. J., Morris, J. C., Shaw, L. M., Kaye, J., Quinn, J., Silbert, L., Lind, B. & 219 others, Carter, R., Dolen, S., Schneider, L. S., Pawluczyk, S., Beccera, M., Teodoro, L., Spann, B. M., Brewer, J., Vanderswag, H., Fleisher, A., Heidebrink, J. L., Lord, J. L., Mason, S. S., Albers, C. S., Knopman, D., Johnson, K., Doody, R. S., Villanueva-Meyer, J., Chowdhury, M., Rountree, S., Dang, M., Stern, Y., Honig, L. S., Bell, K. L., Ances, B., Carroll, M., Creech, M. L., Franklin, E., Mintun, M. A., Schneider, S., Oliver, A., Marson, D., Griffith, R., Clark, D., Geldmacher, D., Brockington, J., Roberson, E., Love, M. N., Grossman, H., Mitsis, E., Shah, R. C., DeToledo-Morrell, L., Duara, R., Varon, D., Greig, M. T., Roberts, P., Albert, M., Onyike, C., D'Agostino, D., Kielb, S., Galvin, J. E., Cerbone, B., Michel, C. A., Pogorelec, D. M., Rusinek, H., De Leon, M. J., Glodzik, L., De Santi, S., Murali Doraiswamy, P., Petrella, J. R., Borges-Neto, S., Wong, T. Z., Coleman, E., Smith, C. D., Jicha, G., Hardy, P., Sinha, P., Oates, E., Conrad, G., Porsteinsson, A. P., Goldstein, B. S., Martin, K., Makino, K. M., Saleem Ismail, M., Brand, C., Mulnard, R. A., Thai, G., Mc-Adams-Ortiz, C., Womack, K., Mathews, D., Quiceno, M., Levey, A. I., Lah, J. J., Cellar, J. S., Burns, J. M., Swerdlow, R. H., Brooks, W. M., Apostolova, L., Tingus, K., Woo, E., Silverman, D. H. S., Lu, P. H., Bartzokis, G., Graff-Radford, N. R., Parfitt, F., Kendall, T., Johnson, H., Farlow, M. R., Hake, A. M., Brosch, J. R., Herring, S., Hunt, C., Van Dyck, C. H., Carson, R. E., MacAvoy, M. G., Varma, P., Chertkow, H., Bergman, H., Hosein, C., Black, S., Stefanovic, B., Caldwell, C., Hsiung, G. Y. R., Feldman, H., Mudge, B., Assaly, M., Finger, E., Pasternack, S., Rachisky, I., Trost, D., Kertesz, A., Bernick, C., Munic, D., Mesulam, M. M., Lipowski, K., Weintraub, S., Bonakdarpour, B., Kerwin, D., Wu, C. K., Johnson, N., Sadowsky, C., Villena, T., Turner, R. S., Reynolds, B., Sperling, R. A., Johnson, K. A., Marshall, G., Yesavage, J., Taylor, J. L., Lane, B., Rosen, A., Tinklenberg, J., Sabbagh, M. N., Belden, C. M., Jacobson, S. A., Sirrel, S. A., Kowall, N., Killiany, R., Budson, A. E., Norbash, A., Lynn Johnson, P., Obisesan, T. O., Wolday, S., Allard, J., Lerner, A., Ogrocki, P., Tatsuoka, C., Fatica, P., Maillard, P., Olichney, J., DeCarli, C., Carmichael, O., Kittur, S., Borrie, M., Lee, T. Y., Bartha, R., Johnson, S., Asthana, S., Carlsson, C. M., Potkin, S. G., Preda, A., Nguyen, D., Tariot, P., Burke, A., Trncic, N., Reeder, S., Bates, V., Capote, H., Rainka, M., Scharre, D. W., Kataki, M., Adeli, A., Zimmerman, E. A., Celmins, D., Brown, A. D., Pearlson, G. D., Blank, K., Anderson, K., Flashman, L. A., Seltzer, M., Hynes, M. L., Santulli, R. B., Sink, K. M., Gordineer, L., Williamson, J. D., Garg, P., Watkins, F., Ott, B. R., Querfurth, H., Tremont, G., Salloway, S., Malloy, P., Correia, S., Rosen, H. J., Miller, B. L., Perry, D., Mintzer, J., Spicer, K., Bachman, D., Pomara, N., Hernando, R., Sarrael, A., Relkin, N., Chaing, G., Lin, M., Ravdin, L., Smith, A., Raj, B. A. & Fargher, K., Jan 12 2017, In : Scientific reports. 7, 39880.

Research output: Contribution to journalArticle

23 Scopus citations
2019

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
19 Scopus citations
2017

Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease

Sims, R., Van Der Lee, S. J., Naj, A. C., Bellenguez, C., Badarinarayan, N., Jakobsdottir, J., Kunkle, B. W., Boland, A., Raybould, R., Bis, J. C., Martin, E. R., Grenier-Boley, B., Heilmann-Heimbach, S., Chouraki, V., Kuzma, A. B., Sleegers, K., Vronskaya, M., Ruiz, A., Graham, R. R., Olaso, R. & 426 others, Hoffmann, P., Grove, M. L., Vardarajan, B. N., Hiltunen, M., Nöthen, M. M., White, C. C., Hamilton-Nelson, K. L., Epelbaum, J., Maier, W., Choi, S. H., Beecham, G. W., Dulary, C., Herms, S., Smith, A. V., Funk, C. C., Derbois, C., Forstner, A. J., Ahmad, S., Li, H., Bacq, D., Harold, D., Satizabal, C. L., Valladares, O., Squassina, A., Thomas, R., Brody, J. A., Qu, L., Sánchez-Juan, P., Morgan, T., Wolters, F. J., Zhao, Y., Garcia, F. S., Denning, N., Fornage, M., Malamon, J., Naranjo, M. C. D., Majounie, E., Mosley, T. H., Dombroski, B., Wallon, D., Lupton, M. K., Dupuis, J., Whitehead, P., Fratiglioni, L., Medway, C., Jian, X., Mukherjee, S., Keller, L., Brown, K., Lin, H., Cantwell, L. B., Panza, F., McGuinness, B., Moreno-Grau, S., Burgess, J. D., Solfrizzi, V., Proitsi, P., Adams, H. H., Allen, M., Seripa, D., Pastor, P., Cupples, L. A., Price, N. D., Hannequin, D., Frank-García, A., Levy, D., Chakrabarty, P., Caffarra, P., Giegling, I., Beiser, A. S., Giedraitis, V., Hampel, H., Garcia, M. E., Wang, X., Lannfelt, L., Mecocci, P., Eiriksdottir, G., Crane, P. K., Pasquier, F., Boccardi, V., Henández, I., Barber, R. C., Scherer, M., Tarraga, L., Adams, P. M., Leber, M., Chen, Y., Albert, M. S., Riedel-Heller, S., Emilsson, V., Beekly, D., Braae, A., Schmidt, R., Blacker, D., Masullo, C., Schmidt, H., Doody, R. S., Spalletta, G., Longstreth, W. T., Fairchild, T. J., Bossù, P., Lopez, O. L., Frosch, M. P., Sacchinelli, E., Ghetti, B., Yang, Q., Huebinger, R. M., Jessen, F., Li, S., Kamboh, M. I., Morris, J. C., Sotolongo-Grau, O., Katz, M. J., Corcoran, C., Dunstan, M., Braddel, A., Thomas, C., Meggy, A., Marshall, R., Gerrish, A., Chapman, J., Aguilar, M., Taylor, S., Hill, M., Fairén, M. D., Hodges, A., Vellas, B., Soininen, H., Kloszewska, I., Daniilidou, M., Uphill, J., Patel, Y., Hughes, J. T., Lord, J., Turton, J., Hartmann, A. M., Cecchetti, R., Fenoglio, C., Serpente, M., Arcaro, M., Caltagirone, C., Orfei, M. D., Ciaramella, A., Pichler, S., Mayhaus, M., Gu, W., Lleó, A., Fortea, J., Blesa, R., Barber, I. S., Brookes, K., Cupidi, C., Maletta, R. G., Carrell, D., Sorbi, S., Moebus, S., Urbano, M., Pilotto, A., Kornhuber, J., Bosco, P., Todd, S., Craig, D., Johnston, J., Gill, M., Lawlor, B., Lynch, A., Fox, N. C., Hardy, J., Albin, R. L., Apostolova, L. G., Arnold, S. E., Asthana, S., Atwood, C. S., Baldwin, C. T., Barnes, L. L., Barral, S., Beach, T. G., Becker, J. T., Bigio, E. H., Bird, T. D., Boeve, B. F., Bowen, J. D., Boxer, A., Burke, J. R., Burns, J. M., Buxbaum, J. D., Cairns, N. 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222 Scopus citations
2019

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

7 Scopus citations
2016

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

254 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
2017

Targeted neurogenesis pathway-based gene analysis identifies ADORA2A associated with hippocampal volume in mild cognitive impairment and Alzheimer's disease

Alzheimer's Disease Neuroimaging Initiative (ADNI), Dec 2017, In : Neurobiology of Aging. 60, p. 92-103 12 p.

Research output: Contribution to journalArticle

18 Scopus citations