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2016
16 Citations (Scopus)

Reliable change in neuropsychological assessment of breast cancer survivors

Andreotti, C., Root, J. C., Schagen, S. B., McDonald, B., Saykin, A., Atkinson, T. M., Li, Y. & Ahles, T. A., Jan 1 2016, In : Psycho-Oncology. 25, 1, p. 43-50 8 p.

Research output: Contribution to journalArticle

Survivors
Breast Neoplasms
Confidence Intervals
Reproducibility of Results
Therapeutics
2017
6 Citations (Scopus)
Single Nucleotide Polymorphism
Alzheimer Disease
Cognitive Dysfunction
Genome-Wide Association Study
Neuroimaging
2016
13 Citations (Scopus)
Sclerosis
Temporal Lobe
Atrophy
Single Nucleotide Polymorphism
Alzheimer Disease
2018
11 Citations (Scopus)
Amyloid
Neuroimaging
Type 2 Diabetes Mellitus
Cerebrospinal Fluid
Alzheimer Disease
4 Citations (Scopus)

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. & Liu, Z., Jan 1 2018, (Accepted/In press) In : Human Brain Mapping.

Research output: Contribution to journalArticle

Motion Pictures
Brain
Sensorimotor Cortex
2017
7 Citations (Scopus)

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., Shen, L. & Zhang, D., Jul 15 2017, In : Bioinformatics. 33, 14, p. i341-i349

Research output: Contribution to journalArticle

Canonical Correlation Analysis
Genotype
Phenotype
Neuroimaging
Brain
2018
6 Citations (Scopus)

Memory concerns in the early Alzheimer's disease prodrome: Regional association with tau deposition

Alzheimer's Disease Neuroimaging Initiative, Jan 1 2018, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 10, p. 322-331 10 p.

Research output: Contribution to journalArticle

Alzheimer Disease
Ego
Amyloid
Self Concept
Neuroimaging
1 Citation (Scopus)

Longitudinal genotype-phenotype association study through temporal structure auto-learning predictive model

Wang, X., Yan, J., Yao, X., Kim, S., Nho, K., Risacher, S. L., Saykin, A., Shen, L. & Huang, H., Jul 1 2018, In : Journal of Computational Biology. 25, 7, p. 809-824 16 p.

Research output: Contribution to journalArticle

Predictive Model
Genetic Association Studies
Genotype
Neuroimaging
Phenotype
2016
24 Citations (Scopus)

Type 2 diabetes mellitus is associated with brain atrophy and hypometabolism in the ADNI cohort

Li, W., Risacher, S. L., Huang, E. & Saykin, A., Aug 9 2016, In : Neurology. 87, 6, p. 595-600 6 p.

Research output: Contribution to journalArticle

Type 2 Diabetes Mellitus
Atrophy
Brain
Glucose
Fluorodeoxyglucose F18
2020

Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease

for the Alzheimer's Disease Neuroimaging Initiative, Feb 2020, In : Medical Image Analysis. 60, 101625.

Research output: Contribution to journalArticle

Neuroimaging
Feature extraction
Alzheimer Disease
Magnetic resonance imaging
Positron emission tomography
2019
3 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
2017
5 Citations (Scopus)

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

Alzheimer’s Disease Neuroimaging Initiative, Nov 1 2017, In : PLoS One. 12, 11, e0186095.

Research output: Contribution to journalArticle

Neuroimaging
Alzheimer disease
Alzheimer Disease
Publications
Visualization
2018

Identifying Candidate Genetic Associations with MRI-derived AD-related ROI via Tree-guided Sparse Learning

Hao, X., Yao, X., Risacher, S., Saykin, A., Yu, J., Wang, H., Tan, L., Shen, L. & Zhang, D., May 5 2018, (Accepted/In press) In : IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Research output: Contribution to journalArticle

Genetic Association
Single nucleotide Polymorphism
Nucleotides
Polymorphism
Magnetic resonance imaging
2019

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

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

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
2016
26 Citations (Scopus)

Traumatic brain injury and age at onset of cognitive impairment in older adults

Li, W., Risacher, S. L., McAllister, T. W. & Saykin, A., Mar 23 2016, (Accepted/In press) In : Journal of Neurology. p. 1-6 6 p.

Research output: Contribution to journalArticle

Age of Onset
Confidence Intervals
Brain Injuries
Alzheimer Disease
Cognitive Dysfunction
12 Citations (Scopus)

Genomics and CSF analyses implicate thyroid hormone in hippocampal sclerosis of aging

Nelson, P. T., Katsumata, Y., Nho, K., Artiushin, S. C., Jicha, G. A., Wang, W. X., Abner, E. L., Saykin, A., Kukull, W. A., Alzheimer’s Disease Neuroimaging Initiative (ADNI), D. N. I. ADNI. & Fardo, D. W., Dec 1 2016, In : Acta Neuropathologica. 132, 6, p. 841-858 18 p.

Research output: Contribution to journalArticle

Sclerosis
Genomics
Thyroid Hormones
Cerebrospinal Fluid
Astrocytes
1 Citation (Scopus)

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

ADNI, 2016, Medical Imaging and Augmented Reality - 7th International Conference, MIAR 2016, Proceedings. Springer Verlag, Vol. 9805. p. 302-310 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9805).

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

Morphometry
Image Analysis
Image analysis
Statistical Analysis
Random Field
2017
19 Citations (Scopus)

Methylphenidate and Memory and Attention Adaptation Training for Persistent Cognitive Symptoms after Traumatic Brain Injury: A Randomized, Placebo-Controlled Trial

McDonald, B., Flashman, L. A., Arciniegas, D. B., Ferguson, R. J., Xing, L., Harezlak, J., Sprehn, G. C., Hammond, F., Maerlender, A. C., Kruck, C. L., Gillock, K. L., Frey, K., Wall, R. N., Saykin, A. & McAllister, T. W., Apr 5 2017, (Accepted/In press) In : Neuropsychopharmacology.

Research output: Contribution to journalArticle

Neurobehavioral Manifestations
Methylphenidate
Randomized Controlled Trials
Placebos
Traumatic Brain Injury
10 Citations (Scopus)

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

Crane, P. K., Trittschuh, E., Mukherjee, S., Saykin, A., Sanders, R. E., Larson, E. B., McCurry, S. M., McCormick, W., Bowen, J. D., Grabowski, T., Moore, M., Bauman, J., Gross, A. L., Keene, C. D., Bird, T. D., Gibbons, L. E. & Mez, J., 2017, (Accepted/In press) In : Alzheimer's and Dementia.

Research output: Contribution to journalArticle

Alzheimer Disease
Cohort Studies
Prospective Studies
Incidence
Language
2019

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
2016
6 Citations (Scopus)

Structured sparse CCA for brain imaging genetics via graph OSCAR

Du, L., Huang, H., Yan, J., Kim, S., Risacher, S., Inlow, M., Moore, J., Saykin, A. & Shen, L., Aug 26 2016, In : BMC Systems Biology. 10, 68.

Research output: Contribution to journalArticle

Canonical Correlation Analysis
Neuroimaging
Brain
Imaging
Amyloid
2017
7 Citations (Scopus)
Smell
Amyloid
Positron-Emission Tomography
Atrophy
Alzheimer Disease
7 Citations (Scopus)

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

Neuroimaging
Single Nucleotide Polymorphism
Alzheimer Disease
Genetic Markers
Magnetic Resonance Imaging
1 Citation (Scopus)

A fast SCCA algorithm for big data analysis in brain imaging genetics

Alzheimer’s Disease Neuroimaging Initiative, 2017, Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - 1st International Workshop, GRAIL 2017 6th International Workshop, MFCA 2017 and 3rd International Workshop, MICGen 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer Verlag, Vol. 10551 LNCS. p. 210-219 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10551 LNCS).

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

Canonical Correlation Analysis
Brain
Data analysis
Fast Algorithm
Imaging
2018
15 Citations (Scopus)

Acute White-Matter Abnormalities in Sports-Related Concussion: A Diffusion Tensor Imaging Study from the NCAA-DoD CARE Consortium

Mustafi, S. M., Harezlak, J., Koch, K. M., Nencka, A. S., Meier, T. B., West, J. D., Giza, C. C., DiFiori, J. P., Guskiewicz, K. M., Mihalik, J. P., LaConte, S. M., Duma, S. M., Broglio, S. P., Saykin, A., McCrea, M., McAllister, T. W. & Wu, Y-C., Nov 15 2018, In : Journal of Neurotrauma. 35, 22, p. 2653-2664 12 p.

Research output: Contribution to journalArticle

Diffusion Tensor Imaging
Sports
Football
Athletes
Selection Bias
9 Citations (Scopus)

A novel SCCA approach via truncated â.," 1-norm and truncated group lasso for brain imaging genetics

Du, L., Liu, K., Zhang, T., Yao, X., Yan, J., Risacher, S. L., Han, J., Guo, L., Saykin, A. & Shen, L., Jan 15 2018, In : Bioinformatics. 34, 2, p. 278-285 8 p.

Research output: Contribution to journalArticle

Canonical Correlation Analysis
Lasso
Neuroimaging
Brain
Imaging
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

Alzheimer Disease
Depression
Epidemiologic Studies
Sleep
Unconsciousness
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. M., Gao, S., Davis, J. W., Weiner, M. W. & Saykin, A. J., 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
23 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
2016
9 Citations (Scopus)

Mood, stress and longevity: convergence on ANK3

Rangaraju, S., Levey, D. F., Nho, K., Jain, N., Andrews, K. D., Le-Niculescu, H., Salomon, D. R., Saykin, A., Petrascheck, M. & Niculescu, A., May 24 2016, (Accepted/In press) In : Molecular Psychiatry.

Research output: Contribution to journalArticle

Mianserin
Genes
Suicide
Antidepressive Agents
Oxidative Stress
2018
12 Citations (Scopus)

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

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

Research output: Contribution to journalArticle

Survivors
Breast Neoplasms
Neoplasms
Cognition
Therapeutics
2016
41 Citations (Scopus)

The Alzheimer's Disease Neuroimaging Initiative 3: Continued innovation for clinical trial improvement

Weiner, M. W., Veitch, D. P., Aisen, P. S., Beckett, L. A., Cairns, N. J., Green, R. C., Harvey, D., Jack, C. R., Jagust, W., Morris, J. C., Petersen, R. C., Salazar, J., Saykin, A., Shaw, L. M., Toga, A. W. & Trojanowski, J. Q., 2016, (Accepted/In press) In : Alzheimer's and Dementia.

Research output: Contribution to journalArticle

Neuroimaging
Alzheimer Disease
Clinical Trials
Cognition
Biomarkers
2018
1 Citation (Scopus)

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

Alzheimer Disease
Metabolic Networks and Pathways
Brain
Fluorodeoxyglucose F18
Occipital Lobe
16 Citations (Scopus)

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

Neurodegenerative diseases
inference
Neurodegenerative Diseases
Aptitude
Genotype
2017
18 Citations (Scopus)

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 1 2017, In : Neurobiology of Aging. 60, p. 92-103 12 p.

Research output: Contribution to journalArticle

Neurogenesis
Alzheimer Disease
Genes
Social Adjustment
Parahippocampal Gyrus
13 Citations (Scopus)

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

Atrophy
Alzheimer Disease
Brain
Cerebrospinal Fluid
Temporal Lobe
19 Citations (Scopus)

Effects of traumatic brain injury and posttraumatic stress disorder on development of Alzheimer's disease in Vietnam Veterans using the Alzheimer's Disease Neuroimaging Initiative: Preliminary report

Weiner, M., Harvey, D., Hayes, J., Landau, S., Aisen, P., Petersen, R., Tosun, D., Veitch, D., Jack, C., Decarli, C., Saykin, A., Grafman, J. & Neylan, T., Jun 1 2017, In : Alzheimer's and Dementia: Translational Research and Clinical Interventions. 3, 2, p. 177-188 12 p.

Research output: Contribution to journalArticle

Vietnam
Veterans
Post-Traumatic Stress Disorders
Neuroimaging
Alzheimer Disease
27 Citations (Scopus)

The Vascular Impairment of Cognition Classification Consensus Study

VICCCS group, Jun 1 2017, In : Alzheimer's and Dementia. 13, 6, p. 624-633 10 p.

Research output: Contribution to journalArticle

Cognition
Blood Vessels
Consensus
Research
Delphi Technique
2018
22 Citations (Scopus)

Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states

Mahjoub, I., Mahjoub, M. A., Rekik, I., Weiner, M., Aisen, P., Petersen, R., Jack, C., Jagust, W., Trojanowki, J., Toga, A., Beckett, L., Green, R., Saykin, A., Morris, J., Shaw, L., Kaye, J., Quinn, J., Silbert, L., Lind, B., Carter, R. & 221 others, Dolen, S., Schneider, L., Pawluczyk, S., Beccera, M., Teodoro, L., Spann, B., Brewer, J., Vanderswag, H., Fleisher, A., Heidebrink, J., Lord, J., Mason, S., Albers, C., Knopman, D., Johnson, K., Doody, R., Villanueva-Meyer, J., Chowdhury, M., Rountree, S., Dang, M., Stern, Y., Honig, L., Bell, K., Ances, B., Carroll, M., Creech, M., Franklin, E., Mintun, M., Schneider, S., Oliver, A., Marson, D., Grifth, R., Clark, D., Geldmacher, D., Brockington, J., Roberson, E., Natelson Love, M., Grossman, H., Mitsis, E., Shah, R., Detoledo-Morrell, L., Duara, R., Varon, D., Greig, M., Roberts, P., Albert, M., Onyike, C., D'Agostino, D., Kielb, S., Galvin, J., Cerbone, B., Michel, C., Pogorelec, D., Rusinek, H., De Leon, M., Glodzik, L., De Santi, S., Doraiswamy, P., Petrella, J., Borges-Neto, S., Wong, T., Coleman, E., Smith, C., Jicha, G., Hardy, P., Sinha, P., Oates, E., Conrad, G., Porsteinsson, A., Goldstein, B., Martin, K., Makino, K., Ismail, M., Brand, C., Mulnard, R., Thai, G., Mc-Adams-Ortiz, C., Womack, K., Mathews, D., Quiceno, M., Levey, A., Lah, J., Cellar, J., Burns, J., Swerdlow, R., Brooks, W., Apostolova, L., Tingus, K., Woo, E., Silverman, D., Lu, P., Bartzokis, G., Graf-Radford, N., Parftt, F., Kendall, T., Johnson, H., Farlow, M., Hake, A. M., Matthews, B., Brosch, J., Herring, S., Hunt, C., Dyck, C., Carson, R., MacAvoy, M., Varma, P., Chertkow, H., Bergman, H., Hosein, C., Black, S., Stefanovic, B., Caldwell, C., Robin Hsiung, G. Y., 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., Johnson, K., Reynolds, B., Sperling, R., Johnson, K., Marshall, G., Yesavage, J., Taylor, J., Lane, B., Rosen, A., Tinklenberg, J., Sabbagh, M., Belden, C., Jacobson, S., Sirrel, S., Kowall, N., Killiany, R., Budson, A., Norbash, A., Johnson, P. L., Obisesan, T., Wolday, S., Allard, J., Lerner, A., Ogrocki, P., Tatsuoka, C., Fatica, P., Fletcher, E., Maillard, P., Olichney, J., Decarli, C., Carmichael, O., Kittur, S., Borrie, M., Lee, T. Y., Bartha, R., Johnson, S., Asthana, S., Carlsson, C., Potkin, S., Preda, A., Nguyen, D., Tariot, P., Burke, A., Trncic, N., Reeder, S., Bates, V., Capote, H., Rainka, M., Scharre, D., Kataki, M., Adeli, A., Zimmerman, E., Celmins, D., Brown, A., Pearlson, G., Blank, K., Anderson, K., Flashman, L., Seltzer, M., Hynes, M., Santulli, R., Sink, K., Gordineer, L., Williamson, J., Garg, P., Watkins, F., Ott, B., Querfurth, H., Tremont, G., Salloway, S., Malloy, P., Correia, S., Rosen, H., Miller, B., 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., Dec 1 2018, In : Scientific Reports. 8, 1, 4103.

Research output: Contribution to journalArticle

Biomarkers
Brain
Patient treatment
Electric network analysis
Magnetic resonance imaging
22 Citations (Scopus)

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 1 2018, (Accepted/In press) In : Alzheimer's and Dementia.

Research output: Contribution to journalArticle

Neuroimaging
Disease Progression
Alzheimer Disease
Clinical Trials
Publications
2017
21 Citations (Scopus)

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., Shaw, L. M., Kaye, J., Quinn, J., Silbert, L., Lind, B. & 222 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., Morris, J. C., 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., Johnson, K., 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., Fletcher, E., 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

Brain
Neuroimaging
Classifiers
Magnetic Resonance Imaging
1 Citation (Scopus)

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

Crosstalk
Biomarkers
Genes
Proteins
Apolipoprotein E4
2018
14 Citations (Scopus)

Sex-specific genetic predictors of Alzheimer’s disease biomarkers

Alzheimer’s Disease Neuroimaging Initiative (ADNI) & The Alzheimer Disease Genetics Consortium (Adgc), Jul 2 2018, (Accepted/In press) In : Acta Neuropathologica. p. 1-16 16 p.

Research output: Contribution to journalArticle

Alzheimer Disease
Biomarkers
Genome-Wide Association Study
Amyloid
Endophenotypes
2017
14 Citations (Scopus)

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., 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

Metabolomics
Alzheimer's Disease
Data Classification
dementia
medication
2016
90 Citations (Scopus)

Implementation of subjective cognitive decline criteria in research studies

Molinuevo, J. L., Rabin, L. A., Amariglio, R., Buckley, R., Dubois, B., Ellis, K. A., Ewers, M., Hampel, H., Klöppel, S., Rami, L., Reisberg, B., Saykin, A., Sikkes, S., Smart, C. M., Snitz, B. E., Sperling, R., van der Flier, W. M., Wagner, M. & Jessen, F., 2016, (Accepted/In press) In : Alzheimer's and Dementia.

Research output: Contribution to journalArticle

Research
Alzheimer Disease
Cognitive Dysfunction
Health Services Needs and Demand
Demography
2019

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
2017

A Network-Based Framework for Mining High-Level Imaging Genetic Associations

Liang, H., Meng, X., Chen, F., Zhang, Q., Yan, J., Yao, X., Kim, S., Wang, L., Feng, W., Saykin, A., Li, J. & Shen, L., Sep 26 2017, Imaging Genetics. Elsevier Inc., p. 119-134 16 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Genome-Wide Association Study
Alzheimer Disease
Data Mining
Gene Regulatory Networks
Neuroimaging
2018
1 Citation (Scopus)

Towards subject and diagnostic identifiability in the alzheimer’s disease spectrum based on functional connectomes

Svaldi, D. O., Goñi, J., Bharthur Sanjay, A., Amico, E., Risacher, S. L., West, J. D., Dzemidzic, M., Saykin, A. & Apostolova, L., Jan 1 2018, Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities - 2nd International Workshop, GRAIL 2018 and 1st International Workshop, Beyond MIC 2018 Held in Conjunction with MICCAI 2018, Proceedings. Stoyanov, D., Sotiras, A., Papiez, B., Dalca, A. V., Martel, A., Parisot, S., Ferrante, E., Maier-Hein, L., Sabuncu, M. R., Shen, L. & Taylor, Z. (eds.). Springer Verlag, p. 74-82 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11044 LNCS).

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

Alzheimer's Disease
Identifiability
Diagnostics
Connectivity
Biomarkers