A
Andrew M. Michael
Researcher at Duke University
Publications - 72
Citations - 3574
Andrew M. Michael is an academic researcher from Duke University. The author has contributed to research in topics: Resting state fMRI & Functional magnetic resonance imaging. The author has an hindex of 22, co-authored 68 publications receiving 2880 citations. Previous affiliations of Andrew M. Michael include The Mind Research Network & University of Waterloo.
Papers
More filters
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
A method for evaluating dynamic functional network connectivity and task-modulation: application to schizophrenia
Unal Sakoglu,Godfrey D. Pearlson,Kent A. Kiehl,Kent A. Kiehl,Y. Michelle Wang,Andrew M. Michael,Vince D. Calhoun +6 more
TL;DR: The task-modulation of dynamic FNC provided findings and differences between the two groups that are consistent with the existing hypothesis that schizophrenia patients show less segregated motor, sensory, cognitive functions and less segregated default mode network activity when engaged with a task.
Journal ArticleDOI
Functional connectivity predicts gender: Evidence for gender differences in resting brain connectivity.
TL;DR: It is demonstrated that gender can be reliably predicted using rfMRI data and the importance of controlling for gender in brain imaging studies is highlighted.
Journal ArticleDOI
Robust Spatial Filtering With Graph Convolutional Neural Networks
Felipe Petroski Such,Shagan Sah,Miguel Dominguez,Suhas Pillai,Chao Zhang,Andrew M. Michael,Nathan D. Cahill,Raymond Ptucha +7 more
TL;DR: A novel neural learning framework that is capable of handling both homogeneous and heterogeneous data while retaining the benefits of traditional CNN successes is proposed, which is term Graph-CNNs, which can handle both heterogeneous and homogeneous graph data.
Journal ArticleDOI
Investigation of relationships between fMRI brain networks in the spectral domain using ICA and Granger causality reveals distinct differences between schizophrenia patients and healthy controls
Oguz Demirci,Michael C. Stevens,Nancy C. Andreasen,Andrew M. Michael,Jingyu Liu,Tonya White,Godfrey D. Pearlson,Vincent P. Clark,Vince D. Calhoun +8 more
TL;DR: Independent component analysis is used to extract the time courses of spatially independent components and then used in Granger causality test (GCT) to investigate causal relationships between brain activation networks to show FNC differentiations between schizophrenia and control groups.