Ghosh, Satrajit S.

fMRIPrep: A robust preprocessing pipeline for functional MRI

Esteban, O., Markiewicz, C. J., Blair, R. W., Moodie, C. A., Isik, A. I., Erramuzpe, A., Kent, J. D., Goncalves, M., DuPre, E., Snyder, M., et al. (2019) · Nature Methods

Advanced MRI Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 3,905

Situating the default-mode network along a principal gradient of macroscale cortical organization

Margulies, D. S., Ghosh, S. S., Goulas, A., Falkiewicz, M., Huntenburg, J. M., Langs, G., Bezgin, G., Eickhoff, S. B., Castellanos, F. X., Petrides, M., et al. (2016) · Proceedings of the National Academy of Sciences

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 2,321

The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments

Gorgolewski, K. J., Auer, T., Calhoun, V. D., Craddock, R. C., Das, S., Duff, E. P., Flandin, G., Ghosh, S. S., Glatard, T., Halchenko, Y. O., et al. (2016) · Scientific Data

Research Data Management PracticesFunctional Brain Connectivity Studies

Cited by 1,775

Neural modeling and imaging of the cortical interactions underlying syllable production

Guenther, F. H., Ghosh, S. S., & Tourville, J. A. (2006) · Brain and Language

Neurobiology of Language and BilingualismPhonetics and Phonology Research

Cited by 879

A multimodal cell census and atlas of the mammalian primary motor cortex

BRAIN Initiative Cell Census Network (BICCN), BRAIN Initiative Cell Census Network (BICCN) Corresponding authors, Callaway, E. M., Dong, H.-W., Ecker, J. R., Hawrylycz, M. J., Huang, Z. J., Lein, E. S., Ngai, J., Osten, P., et al. (2021) · Nature

Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics

Cited by 522

Functional gradients of the cerebellum

Guell, X., Schmahmann, J. D., Gabrieli, J. D., & Ghosh, S. S. (2018) · eLife

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 472

Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study

Low, D. M., Rumker, L., Talkar, T., Torous, J., Cecchi, G., & Ghosh, S. S. (2020) · Journal of Medical Internet Research

Mental Health via WritingCOVID-19 and Mental Health

Cited by 340

Analysis of task-based functional MRI data preprocessed with fMRIPrep

Esteban, O., Ciric, R., Finc, K., Blair, R. W., Markiewicz, C. J., Moodie, C. A., Kent, J. D., Goncalves, M., DuPre, E., Gomez, D. E. P., et al. (2020) · Nature Protocols

Advanced MRI Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 315

BIDS apps: improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods

Gorgolewski, K. J., Alfaro-Almagro, F., Auer, T., Bellec, P., Capotă, M., Chakravarty, M. M., Churchill, N. W., Cohen, A. L., Craddock, R. C., Devenyi, G. A., et al. (2017) · PLOS Computational Biology

Scientific Computing and Data ManagementResearch Data Management Practices

Cited by 311

Evaluating the validity of volume-based and surface-based brain image registration for developmental cognitive neuroscience studies in children 4 to 11years of age

Ghosh, S. S., Kakunoori, S., Augustinack, J., Nieto-Castanon, A., Kovelman, I., Gaab, N., Christodoulou, J. A., Triantafyllou, C., Gabrieli, J. D. E., & Fischl, B. (2010) · NeuroImage

Medical Image Segmentation TechniquesFunctional Brain Connectivity Studies

Cited by 281

Predicting treatment response in social anxiety disorder from functional magnetic resonance imaging.

Doehrmann, O., Ghosh, S. S., Polli, F. E., Reynolds, G. O., Horn, F., Keshavan, A., Triantafyllou, C., Saygin, Z. M., Whitfield-Gabrieli, S., Hofmann, S. G., et al. (2013) · JAMA Psychiatry

Anxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesObsessive-Compulsive Spectrum Disorders

Cited by 262

Evaluation of volume-based and surface-based brain image registration methods

Klein, A., Ghosh, S. S., Avants, B., Yeo, B. T. T., Fischl, B., Ardekani, B., Gee, J. C., Mann, J. J., & Parsey, R. V. (2010) · NeuroImage

Medical Image Segmentation TechniquesFunctional Brain Connectivity Studies

Cited by 255

Brain connectomics predict response to treatment in social anxiety disorder

Whitfield-Gabrieli, S., Ghosh, S. S., Nieto-Castanon, A., Saygin, Z., Doehrmann, O., Chai, X. J., Reynolds, G. O., Hofmann, S. G., Pollack, M. H., & Gabrieli, J. D. E. (2016) · Molecular Psychiatry

Functional Brain Connectivity StudiesAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 210

Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging

Kennedy, D. N., Abraham, S. A., Bates, J. F., Crowley, A., Ghosh, S., Gillespie, T., Goncalves, M., Grethe, J. S., Halchenko, Y. O., Hanke, M., et al. (2019) · Frontiers in Neuroinformatics

Scientific Computing and Data ManagementResearch Data Management Practices

Cited by 113

AI-readiness Criteria for Biomedical Data

Clark, T., Caufield, H., Parker, J. A., Al Manir, S., Amorim, E., Eddy, J., Gim, N., Gow, B., Goar, W., Hansen, J. N., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory)

Research Data Management PracticesArtificial Intelligence in Healthcare and Education

Cited by 32

Identifying bias in models that detect vocal fold paralysis from audio recordings using explainable machine learning and clinician ratings

Low, D. M., Rao, V., Randolph, G., Song, P. C., & Ghosh, S. S. (2024) · PLOS Digital Health

Voice and Speech DisordersArtificial Intelligence in Healthcare

Cited by 16