Time-Resolved Resting-State Functional Magnetic Resonance Imaging Analysis: Current Status, Challenges, and New Directions
Year: 2017
Type: review
Abstract: Time-resolved analysis of resting-state functional magnetic resonance imaging (rs-fMRI) data allows researchers to extract more information about brain function than traditional functional connectivity analysis, yet a number of challenges in data analysis and interpretation remain. This article briefly summarizes common methods for time-resolved analysis and presents some of the pressing issues and opportunities in the field. From there, the discussion moves to interpretation of the network dynamics observed with rs-fMRI and the role that rs-fMRI can play in elucidating the large-scale organization of brain activity.
Source: Brain Connectivity
Institutions: Georgia Institute of Technology, Emory University, Basque Center on Cognition, Brain and Language, National Institutes of Health, National Institute of Mental Health, Institució Catalana de Recerca i Estudis Avançats, Universitat Pompeu Fabra, Max Planck Institute for Human Cognitive and Brain Sciences, Monash University, Mind Research Network, University of New Mexico
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2765629917