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Eswar Damaraju
Researcher at Georgia Institute of Technology
Publications - 101
Citations - 8717
Eswar Damaraju is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Resting state fMRI & Dynamic functional connectivity. The author has an hindex of 32, co-authored 99 publications receiving 6741 citations. Previous affiliations of Eswar Damaraju include Indiana University & University of New Mexico.
Papers
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Journal ArticleDOI
Tracking Whole-Brain Connectivity Dynamics in the Resting State
Elena A. Allen,Eswar Damaraju,Sergey M. Plis,Erik B. Erhardt,Tom Eichele,Vince D. Calhoun,Vince D. Calhoun +6 more
TL;DR: In this article, the authors describe an approach to assess whole-brain functional connectivity dynamics based on spatial independent component analysis, sliding time window correlation, and k-means clustering of windowed correlation matrices.
Journal ArticleDOI
A Baseline for the Multivariate Comparison of Resting-State Networks
Elena A. Allen,Erik B. Erhardt,Eswar Damaraju,William Gruner,William Gruner,Judith M. Segall,Judith M. Segall,Rogers F. Silva,Rogers F. Silva,Martin Havlicek,Martin Havlicek,Srinivas Rachakonda,Jill Fries,Ravi Kalyanam,Ravi Kalyanam,Andrew M. Michael,Arvind Caprihan,Jessica A. Turner,Jessica A. Turner,Tom Eichele,Steven Adelsheim,Angela D. Bryan,Angela D. Bryan,Juan R. Bustillo,Vincent P. Clark,Vincent P. Clark,Sarah W. Feldstein Ewing,Francesca M. Filbey,Francesca M. Filbey,Corey C. Ford,Kent E. Hutchison,Kent E. Hutchison,Rex E. Jung,Rex E. Jung,Kent A. Kiehl,Kent A. Kiehl,Piyadasa W. Kodituwakku,Yuko M. Komesu,Andrew R. Mayer,Andrew R. Mayer,Godfrey D. Pearlson,John P. Phillips,John P. Phillips,Joseph Sadek,Michael Stevens,Ursina Teuscher,Ursina Teuscher,Robert J. Thoma,Vince D. Calhoun +48 more
TL;DR: A multivariate analytic approach that optimizes sensitivity and reduces unnecessary testing is introduced and is demonstrated by identifying the effects of age and gender on the resting-state networks of 603 healthy adolescents and adults.
Journal ArticleDOI
Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia
Eswar Damaraju,Elena A. Allen,Elena A. Allen,Aysenil Belger,Judith M. Ford,Judith M. Ford,Sarah McEwen,Daniel H. Mathalon,Daniel H. Mathalon,Bryon A. Mueller,Godfrey D. Pearlson,Steven G. Potkin,Adrian Preda,Jessica A. Turner,Jatin G. Vaidya,T.G.M. van Erp,Vince D. Calhoun,Vince D. Calhoun +17 more
TL;DR: The results support and expand current knowledge regarding dysconnectivity in schizophrenia, and strongly advocate the use of dynamic analyses to better account for and understand functional connectivity differences.
Journal ArticleDOI
Dynamic connectivity states estimated from resting fMRI Identify differences among Schizophrenia, bipolar disorder, and healthy control subjects
Barnaly Rashid,Barnaly Rashid,Eswar Damaraju,Eswar Damaraju,Godfrey D. Pearlson,Vince D. Calhoun +5 more
TL;DR: The results provide new information about these illnesses and strongly suggest that state-based analyses are critical to avoid averaging together important factors that can help distinguish these clinical groups.
Journal ArticleDOI
Classification of schizophrenia and bipolar patients using static and dynamic resting-state fMRI brain connectivity.
Barnaly Rashid,Mohammad R. Arbabshirani,Eswar Damaraju,Eswar Damaraju,Mustafa S. Çetin,Robyn L. Miller,Godfrey D. Pearlson,Vince D. Calhoun +7 more
TL;DR: This paper proposes a framework for automatic classification of schizophrenia, bipolar and healthy subjects based on their static and dynamic FNC features, and compares cross-validated classification performance between static andynamic FNC.