Vivek Prabhakaran

Dr. Vivek Prabhakaran


Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2013 in NeuroImage
Verified
Journal Article
Closed access
RBRasmus M. Birn
Rasmus M. Birn
EMErin K. Molloy
Erin K. Molloy
RPRémi Patriat
Rémi Patriat
TPTaurean Parker
Taurean Parker
TMTimothy B. Meier
Timothy B. Meier
VPVivek Prabhakaran
Vivek Prabhakaran

1 November 2001 in NeuroImage
Verified
Journal Article
Closed access
KCKalina Christoff
Kalina Christoff
VPVivek Prabhakaran
Vivek Prabhakaran
JDJennifer Dorfman
Jennifer Dorfman
ZZZuo Zhao
Zuo Zhao
JKJames K. Kroger
James K. Kroger
JGJohn D.E. Gabrieli
John D.E. Gabrieli

9 December 2014 in Scientific Data
Verified
Journal Article
Open access
PDF file
XZXi-Nian Zuo
Xi-Nian Zuo
JAJeffrey S Anderson
Jeffrey S Anderson
PBPierre Bellec
Pierre Bellec
RBRasmus M Birn
Rasmus M Birn
BBBharat B Biswal
Bharat B Biswal
MMMichael Milham
Michael Milham
Efforts to identify meaningful functional imaging-based biomarkers are limited by the ability to reliably characterize inter-individual differences in human brain function. Although a growing number of connectomics-based measures are reported to have moderate to high test-retest reliability, the variability in data acquisition, experimental designs, and analytic methods precludes the ability to generalize results. The Consortium for Reliability and Reproducibility (CoRR) is working to address this challenge and establish test-retest reliability as a minimum standard for methods development in functional connectomics. Specifically, CoRR has aggregated 1,629 typical individuals’ resting state fMRI (rfMRI) data (5,093 rfMRI scans) from 18 international sites, and is openly sharing them via the International Data-sharing Neuroimaging Initiative (INDI). To allow researchers to generate various estimates of reliability and reproducibility, a variety of data acquisition procedures and experimental designs are included. Similarly, to enable users to assess the impact of commonly encountered artifacts (for example, motion) on characterizations of inter-individual variation, datasets of varying quality are included.

1 March 1998 in Nature
Verified
Journal Article
Closed access
PDF file
NSN. Sobel
N. Sobel
VPVivek Prabhakaran
Vivek Prabhakaran
JDJ. E. Desmond
J. E. Desmond
GGG. H. Glover
G. H. Glover
RGR. L. Goode
R. L. Goode
JGJ. D. E. Gabrieli
J. D. E. Gabrieli

1 February 1999 in NeuroImage
Verified
Journal Article
Closed access
BRBart Rypma
Bart Rypma
VPVivek Prabhakaran
Vivek Prabhakaran
JDJohn E. Desmond
John E. Desmond
GGGary H. Glover
Gary H. Glover
JGJohn D.E. Gabrieli
John D.E. Gabrieli

1 June 1997 in Cognitive Psychology
Verified
Journal Article
Open access
VPVivek Prabhakaran
Vivek Prabhakaran
JSJennifer A.L. Smith
Jennifer A.L. Smith
JDJohn E. Desmond
John E. Desmond
GGGary H. Glover
Gary H. Glover
JGJohn D.E. Gabrieli
John D.E. Gabrieli
We examined brain activation, as measured by functional magnetic resonance imaging, during problem solving in seven young, healthy participants. Participants solved problems selected from the Raven's Progressive Matrices Test, a test known to predict performance on a wide range of reasoning tasks. In three conditions, participants solved problems requiring (1) analytic reasoning; (2) figural or visuospatial reasoning; or (3) simple pattern matching that served as a perceptual–motor control. Right frontal and bilateral parietal regions were activated more by figural than control problems. Bilateral frontal and left parietal, occipital, and temporal regions were activated more by analytic than figural problems. All of these regions were activated more by analytic than match problems. Many of these activations occurred in regions associated with working memory. Figural reasoning activated areas involved in spatial and object working memory. Analytic reasoning activated additional areas involved in verbal working memory and domain-independent associative and executive processes. These results suggest that fluid reasoning is mediated by a composite of working memory systems.