scispace - formally typeset
N

Nico U.F. Dosenbach

Researcher at Washington University in St. Louis

Publications -  96
Citations -  21985

Nico U.F. Dosenbach is an academic researcher from Washington University in St. Louis. The author has contributed to research in topics: Resting state fMRI & Medicine. The author has an hindex of 40, co-authored 79 publications receiving 16617 citations. Previous affiliations of Nico U.F. Dosenbach include University of Washington & Kennedy Krieger Institute.

Papers
More filters
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

Prediction of Individual Brain Maturity Using fMRI

TL;DR: Support vector machine-based multivariate pattern analysis extracts sufficient information from fcMRI data to make accurate predictions about individuals’ brain maturity across development, and prediction of individual brain maturity as a functional connectivity maturation index is allowed.
Journal ArticleDOI

A Core System for the Implementation of Task Sets

TL;DR: Dorsal anterior cingulate cortex/medial superior frontal cortex and bilateral anterior insula/frontal operculum showed reliable start-cue and sustained activations across all or nearly all tasks and carried the most reliable error-related signals in a subset of tasks, suggesting that the regions form a "core" task-set system.
Journal ArticleDOI

A dual-networks architecture of top-down control.

TL;DR: The control systems of the brain seem to embody the principles of complex systems, encouraging resilient performance in a group of regions associated with top-down control.
Journal ArticleDOI

Functional brain networks develop from a "local to distributed" organization

TL;DR: Over development, the organization of multiple functional networks shifts from a local anatomical emphasis in children to a more “distributed” architecture in young adults, and it is argued that this “local to distributed” developmental characterization has important implications for understanding the development of neural systems underlying cognition.