Toga, Arthur W.

Smaller Regional Brain Volumes Predict Posttraumatic Stress Disorder at 3 Months After Mild Traumatic Brain Injury

Stein, M. B., Yuh, E., Jain, S., Okonkwo, D. O., Mac Donald, C. L., Levin, H., Giacino, J. T., Dikmen, S., Vassar, M. J., Diaz-Arrastia, R., et al. (2021) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging

Traumatic Brain Injury ResearchPosttraumatic Stress Disorder Research

Cited by 24

A Machine Learning Model to Predict Seizure Susceptibility from Resting-State fMRI Connectivity

Garner, R., Rocca, M. L., Barisano, G., Toga, A. W., Duncan, D., & Vespa, P. (2019) · 2019 Spring Simulation Conference (SpringSim)

Functional Brain Connectivity StudiesTraumatic Brain Injury Research

Cited by 22

Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data

Jo, T., Kim, J., Bice, P., Huynh, K., Wang, T., Arnold, M., Meikle, P. J., Giles, C., Kaddurah-Daouk, R., Saykin, A. J., et al. (2023) · eBioMedicine

Dementia and Cognitive Impairment ResearchMetabolomics and Mass Spectrometry Studies

Cited by 15

Phospholipids and Insulin Resistance in Psychosis: A Lipidomics Study of Twin Pairs Discordant for Schizophrenia

Orešič, M., Seppänen-Laakso, T., Sun, D., Tang, J., Therman, S., Viehman, R., Mustonen, U., van Erp, T. G., Hyötyläinen, T., Thompson, P., et al. (2012) · Genome Medicine

Schizophrenia research and treatmentMetabolomics and Mass Spectrometry Studies

Cited by 5