Shinohara, Russell T.

Brain charts for the human lifespan

Bethlehem, R. A. I., Seidlitz, J., White, S. R., Vogel, J. W., Anderson, K. M., Adamson, C., Adler, S., Alexopoulos, G. S., Anagnostou, E., Areces-Gonzalez, A., et al. (2022) · Nature

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 1,794

Harmonization of cortical thickness measurements across scanners and sites

Fortin, J.-P., Cullen, N., Sheline, Y. I., Taylor, W. D., Aselcioglu, I., Cook, P. A., Adams, P., Cooper, C., Fava, M., McGrath, P. J., et al. (2018) · NeuroImage

Advanced MRI Techniques and ApplicationsAdvanced Neuroimaging Techniques and Applications

Cited by 1,580

Harmonization of multi-site diffusion tensor imaging data

Fortin, J.-P., Parker, D., Tunç, B., Watanabe, T., Elliott, M. A., Ruparel, K., Roalf, D. R., Satterthwaite, T. D., Gur, R. C., Gur, R. E., et al. (2017) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

Cited by 1,261

SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network

Hu, J., Li, X., Coleman, K., Schroeder, A., Ma, N., Irwin, D. J., Lee, E. B., Shinohara, R. T., & Li, M. (2021) · Nature Methods

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 1,113

Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity

Ciric, R., Wolf, D. H., Power, J. D., Roalf, D. R., Baum, G. L., Ruparel, K., Shinohara, R. T., Elliott, M. A., Eickhoff, S. B., Davatzikos, C., et al. (2017) · NeuroImage

Functional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

Cited by 1,042

Development of structure–function coupling in human brain networks during youth

Baum, G. L., Cui, Z., Roalf, D. R., Ciric, R., Betzel, R. F., Larsen, B., Cieslak, M., Cook, P. A., Xia, C. H., Moore, T. M., et al. (2020) · Proceedings of the National Academy of Sciences

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 544

Linked dimensions of psychopathology and connectivity in functional brain networks

Xia, C. H., Ma, Z., Ciric, R., Gu, S., Betzel, R. F., Kaczkurkin, A. N., Calkins, M. E., Cook, P. A., García de la Garza, A., Vandekar, S. N., et al. (2018) · Nature Communications

Functional Brain Connectivity StudiesMental Health Research Topics

Cited by 437

Modular Segregation of Structural Brain Networks Supports the Development of Executive Function in Youth

Baum, G. L., Ciric, R., Roalf, D. R., Betzel, R. F., Moore, T. M., Shinohara, R. T., Kahn, A. E., Vandekar, S. N., Rupert, P. E., Quarmley, M., et al. (2017) · Current Biology

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 401

Normative brain size variation and brain shape diversity in humans

Reardon, P. K., Seidlitz, J., Vandekar, S., Liu, S., Patel, R., Park, M. T. M., Alexander-Bloch, A., Clasen, L. S., Blumenthal, J. D., Lalonde, F. M., et al. (2018) · Science

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 255

Burden of Environmental Adversity Associated With Psychopathology, Maturation, and Brain Behavior Parameters in Youths

Gur, R. E., Moore, T. M., Rosen, A. F. G., Barzilay, R., Roalf, D. R., Calkins, M. E., Ruparel, K., Scott, J. C., Almasy, L., Satterthwaite, T. D., et al. (2019) · JAMA Psychiatry

Child Abuse and TraumaChild and Adolescent Psychosocial and Emotional Development

Cited by 239

Common and Dissociable Mechanisms of Executive System Dysfunction Across Psychiatric Disorders in Youth

Shanmugan, S., Wolf, D. H., Calkins, M. E., Moore, T. M., Ruparel, K., Hopson, R. D., Vandekar, S. N., Roalf, D. R., Elliott, M. A., Jackson, C., et al. (2016) · American Journal of Psychiatry

Neural and Behavioral Psychology StudiesSchizophrenia research and treatment

Cited by 219

Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome

Davatzikos, C., Rathore, S., Bakas, S., Pati, S., Bergman, M., Kalarot, R., Sridharan, P., Gastounioti, A., Jahani, N., Cohen, E., et al. (2018) · Journal of Medical Imaging

Radiomics and Machine Learning in Medical ImagingMRI in cancer diagnosis

Cited by 204

Structural Brain Abnormalities in Youth With Psychosis Spectrum Symptoms

Satterthwaite, T. D., Wolf, D. H., Calkins, M. E., Vandekar, S. N., Erus, G., Ruparel, K., Roalf, D. R., Linn, K. A., Elliott, M. A., Moore, T. M., et al. (2016) · JAMA Psychiatry

Schizophrenia research and treatmentPsychopathy, Forensic Psychiatry, Sexual Offending

Cited by 132

Evidence for dissociable linkage of dimensions of psychopathology to brain structure in youths

Kaczkurkin, A. N., Park, S. S., Sotiras, A., Moore, T. M., Calkins, M. E., Cieslak, M., Rosen, A. F. G., Ciric, R., Xia, C. H., Cui, Z., et al. (2019) · American Journal of Psychiatry

Functional Brain Connectivity StudiesMental Health Research Topics

Cited by 110

Cognitive behavioral therapy increases amygdala connectivity with the cognitive control network in both MDD and PTSD

Shou, H., Yang, Z., Satterthwaite, T. D., Cook, P. A., Bruce, S. E., Shinohara, R. T., Rosenberg, B., & Sheline, Y. I. (2017) · NeuroImage: Clinical

Functional Brain Connectivity StudiesPosttraumatic Stress Disorder Research

Cited by 108

Topologically dissociable patterns of development of the human cerebral cortex

Vandekar, S. N., Shinohara, R. T., Raznahan, A., Roalf, D. R., Ross, M., DeLeo, N., Ruparel, K., Verma, R., Wolf, D. H., Gur, R. C., et al. (2015) · The Journal of Neuroscience

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 100

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview

Pati, S., Singh, A., Rathore, S., Gastounioti, A., Bergman, M., Ngo, P., Ha, S. M., Bounias, D., Minock, J., Murphy, G., et al. (2020) · Lecture Notes in Computer Science

Radiomics and Machine Learning in Medical ImagingMedical Image Segmentation Techniques

Cited by 94

Common and dissociable regional cerebral blood flow differences associate with dimensions of psychopathology across categorical diagnoses

Kaczkurkin, A. N., Moore, T. M., Calkins, M. E., Ciric, R., Detre, J. A., Elliott, M. A., Foa, E. B., Garcia de la Garza, A., Roalf, D. R., Rosen, A., et al. (2018) · Molecular Psychiatry

Functional Brain Connectivity StudiesNeural and Behavioral Psychology Studies

Cited by 86

Diminished Cortical Thickness Is Associated with Impulsive Choice in Adolescence

Pehlivanova, M., Wolf, D. H., Sotiras, A., Kaczkurkin, A. N., Moore, T. M., Ciric, R., Cook, P. A., Garcia de La Garza, A., Rosen, A. F. G., Ruparel, K., et al. (2018) · The Journal of Neuroscience

Neural and Behavioral Psychology StudiesDecision-Making and Behavioral Economics

Cited by 79

Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: Emerging machine learning techniques and future avenues

La Rosa, F., Wynen, M., Al-Louzi, O., Beck, E. S., Huelnhagen, T., Maggi, P., Thiran, J.-P., Kober, T., Shinohara, R. T., Sati, P., et al. (2022) · NeuroImage: Clinical

Multiple Sclerosis Research StudiesMedical Image Segmentation Techniques

Cited by 58

Genetic and clinical correlates of AI-based brain aging patterns in cognitively unimpaired individuals

Skampardoni, I., Nasrallah, I. M., Abdulkadir, A., Wen, J., Melhem, R., Mamourian, E., Erus, G., Doshi, J., Singh, A., Yang, Z., et al. (2024) · JAMA Psychiatry

Dementia and Cognitive Impairment ResearchFunctional Brain Connectivity Studies

Cited by 28

Subject-level measurement of local cortical coupling

Vandekar, S. N., Shinohara, R. T., Raznahan, A., Hopson, R. D., Roalf, D. R., Ruparel, K., Gur, R. C., Gur, R. E., & Satterthwaite, T. D. (2016) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 27

IQ Modulates Coupling Between Diverse Dimensions of Psychopathology in Children and Adolescents

Mahony, B. W., Tu, D., Rau, S., Liu, S., Lalonde, F. M., Alexander-Bloch, A. F., Satterthwaite, T. D., Shinohara, R. T., Bassett, D. S., Milham, M. P., et al. (2023) · Journal of the American Academy of Child & Adolescent Psychiatry

Child and Adolescent Psychosocial and Emotional DevelopmentMental Health Research Topics

Cited by 15

Similarity-based multimodal regression

Chen, A. A., Weinstein, S. M., Adebimpe, A., Gur, R. C., Gur, R. E., Merikangas, K. R., Satterthwaite, T. D., Shinohara, R. T., & Shou, H. (2024) · Biostatistics

Statistical Methods and ApplicationsAdvanced Statistical Methods and Models

Cited by 6