S
Satrajit S. Ghosh
Researcher at Harvard University
Publications - 189
Citations - 14959
Satrajit S. Ghosh is an academic researcher from Harvard University. The author has contributed to research in topics: Computer science & Neuroimaging. The author has an hindex of 44, co-authored 175 publications receiving 10291 citations. Previous affiliations of Satrajit S. Ghosh include Boston University & Massachusetts Institute of Technology.
Papers
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Journal ArticleDOI
fMRIPrep: a robust preprocessing pipeline for functional MRI
Oscar Esteban,Christopher J. Markiewicz,Ross Blair,Craig A. Moodie,Ayse Ilkay Isik,Asier Erramuzpe,James D. Kent,Mathias Goncalves,Elizabeth DuPre,Snyder M,Hiroyuki Oya,Satrajit S. Ghosh,Satrajit S. Ghosh,Jessey Wright,Joke Durnez,Russell A. Poldrack,Krzysztof J. Gorgolewski +16 more
TL;DR: fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data that dispenses of manual intervention, thereby ensuring the reproducibility of the results.
Journal ArticleDOI
Situating the default-mode network along a principal gradient of macroscale cortical organization
Daniel S. Margulies,Satrajit S. Ghosh,Satrajit S. Ghosh,Alexandros Goulas,Marcel Falkiewicz,Julia M. Huntenburg,Georg Langs,Georg Langs,Gleb Bezgin,Simon B. Eickhoff,F. Xavier Castellanos,F. Xavier Castellanos,Michael Petrides,Elizabeth Jefferies,Jonathan Smallwood +14 more
TL;DR: An overarching organization of large-scale connectivity that situates the default-mode network at the opposite end of a spectrum from primary sensory and motor regions is described, suggesting that the role of the DMN in cognition might arise from its position at one extreme of a hierarchy, allowing it to process transmodal information that is unrelated to immediate sensory input.
Journal ArticleDOI
Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python
Krzysztof J. Gorgolewski,Christopher Burns,Cindee Madison,Dav Clark,Yaroslav O. Halchenko,Michael Waskom,Satrajit S. Ghosh +6 more
TL;DR: Nipype solves issues by providing Interfaces to existing neuroimaging software with uniform usage semantics and by facilitating interaction between these packages using Workflows, and provides an environment that encourages interactive exploration of algorithms, eases the design of Workflows within and between packages, and reduces the learning Curve.
Journal ArticleDOI
The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.
Krzysztof J. Gorgolewski,Tibor Auer,Vince D. Calhoun,R. Cameron Craddock,Samir Das,Eugene P. Duff,Guillaume Flandin,Satrajit S. Ghosh,Tristan Glatard,Yaroslav O. Halchenko,Daniel A. Handwerker,Michael Hanke,David Keator,Xiangrui Li,Zachary Michael,Camille Maumet,B. Nolan Nichols,Thomas E. Nichols,John Pellman,Jean-Baptiste Poline,Jean-Baptiste Poline,Ariel Rokem,Gunnar Schaefer,Vanessa Sochat,William Triplett,Jessica A. Turner,Gaël Varoquaux,Russell A. Poldrack +27 more
TL;DR: The Brain Imaging Data Structure (BIDS) is developed, a standard for organizing and describing MRI datasets that uses file formats compatible with existing software, unifies the majority of practices already common in the field, and captures the metadata necessary for most common data processing operations.
Journal ArticleDOI
Neural modeling and imaging of the cortical interactions underlying syllable production.
TL;DR: The model is a neural network whose components correspond to regions of the cerebral cortex and cerebellum, including premotor, motor, auditory, and somatosensory cortical areas, and its ability to account for compensation to lip and jaw perturbations during speech is verified.