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Suril Gohel
Researcher at Rutgers University
Publications - 45
Citations - 4313
Suril Gohel is an academic researcher from Rutgers University. The author has contributed to research in topics: Resting state fMRI & Vergence. The author has an hindex of 16, co-authored 42 publications receiving 3760 citations. Previous affiliations of Suril Gohel include University of Medicine and Dentistry of New Jersey & University Heights, Newark.
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Journal ArticleDOI
Toward discovery science of human brain function
Bharat B. Biswal,Maarten Mennes,Xi-Nian Zuo,Suril Gohel,Clare Kelly,Steve M. Smith,Christian F. Beckmann,Jonathan S. Adelstein,Randy L. Buckner,Stan Colcombe,Anne Marie Dogonowski,Monique Ernst,Damien A. Fair,Michelle Hampson,Matthew J. Hoptman,James S. Hyde,Vesa Kiviniemi,Rolf Kötter,Shi-Jiang Li,Ching Po Lin,Mark J. Lowe,Clare E. Mackay,David J. Madden,Kristoffer Hougaard Madsen,Daniel S. Margulies,Helen S. Mayberg,Katie L. McMahon,Christopher S. Monk,Stewart H. Mostofsky,Bonnie J. Nagel,James J. Pekar,Scott Peltier,Steven E. Petersen,Valentin Riedl,Serge A.R.B. Rombouts,Bart Rypma,Bradley L. Schlaggar,Sein Schmidt,Rachael D. Seidler,Greg J. Siegle,Christian Sorg,Gao Jun Teng,Juha Veijola,Arno Villringer,Martin Walter,Lihong Wang,Xu Chu Weng,Susan Whitfield-Gabrieli,Peter C. Williamson,Christian Windischberger,Yu-Feng Zang,Hong Ying Zhang,F. Xavier Castellanos,F. Xavier Castellanos,Michael P. Milham +54 more
TL;DR: The 1000 Functional Connectomes Project (Fcon_1000) as discussed by the authors is a large-scale collection of functional connectome data from 1,414 volunteers collected independently at 35 international centers.
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Graph Theoretical Analysis of Functional Brain Networks: Test-Retest Evaluation on Short- and Long-Term Resting-State Functional MRI Data
TL;DR: Investigation of TRT reliability of topological metrics of functional brain networks derived from resting-state functional magnetic resonance imaging data found that reliability of global network metrics was overall low, threshold-sensitive and dependent on several factors of scanning time interval, network membership and network type.
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Task vs. rest—different network configurations between the coactivation and the resting-state brain networks
TL;DR: The coactivation network showed greater global efficiency, smaller mean clustering coefficient, and lower modularity compared with the resting-state network, which suggest a more efficient global information transmission and between system integrations during task performing.
Journal ArticleDOI
Functional integration between brain regions at rest occurs in multiple-frequency bands
Suril Gohel,Bharat B. Biswal +1 more
TL;DR: The results suggest that functional integration between brain regions at rest occurs over multiple frequency bands and RSFC is a multiband phenomenon, and suggest that further investigation of BOLD signal inmultiple frequency bands for related cognitive processes should be undertaken.
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Vision Therapy in Adults with Convergence Insufficiency: Clinical and Functional Magnetic Resonance Imaging Measures
Tara L. Alvarez,Vincent R. Vicci,Yelda Alkan,Eun H. Kim,Suril Gohel,Suril Gohel,Anna M. Barrett,Nancy Chiaravalloti,Bharat B. Biswal +8 more
TL;DR: The investigation of CI subjects participating in vision therapy showed that the nearpoint of convergence, recovery point of converge, and near dissociated phoria significantly decreased and the positive fusional vergence, average peak velocity from 4° convergence steps, and the amount of functional activity within the frontal areas, cerebellum, and brain stem significantly increased.