scispace - formally typeset
M

Michael D. Fox

Researcher at Brigham and Women's Hospital

Publications -  160
Citations -  39777

Michael D. Fox is an academic researcher from Brigham and Women's Hospital. The author has contributed to research in topics: Medicine & Lesion. The author has an hindex of 53, co-authored 123 publications receiving 32847 citations. Previous affiliations of Michael D. Fox include University of Michigan & Washington University in St. Louis.

Papers
More filters
Journal ArticleDOI

The human brain is intrinsically organized into dynamic, anticorrelated functional networks

TL;DR: It is suggested that both task-driven neuronal responses and behavior are reflections of this dynamic, ongoing, functional organization of the brain, featuring the presence of anticorrelated networks in the absence of overt task performance.
Journal ArticleDOI

Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging.

TL;DR: Recent studies examining spontaneous fluctuations in the blood oxygen level dependent (BOLD) signal of functional magnetic resonance imaging as a potentially important and revealing manifestation of spontaneous neuronal activity are reviewed.
Journal ArticleDOI

Distinct brain networks for adaptive and stable task control in humans

TL;DR: The interactions of these regions are characterized by applying graph theory to resting state functional connectivity MRI data, suggesting the presence of two distinct task-control networks that appear to operate on different time scales and affect downstream processing via dissociable mechanisms.
Journal ArticleDOI

Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems

TL;DR: It is demonstrated that the neuroanatomical substrates of human attention persist in the absence of external events, reflected in the correlation structure of spontaneous activity.
Journal ArticleDOI

The Global Signal and Observed Anticorrelated Resting State Brain Networks

TL;DR: Several characteristics of anticorrelated networks including their spatial distribution, cross-subject consistency, presence with modified whole brain masks, and existence before global regression are not attributable to global signal removal and therefore suggest a biological basis.