Large Scale Intrinsic Connectivity Is Consistent Across Varying Task Demands
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Large-scale Intrinsic Connectivity is Consistent Across Varying Task Demands
Measuring whole-brain functional connectivity patterns based on task-free ("resting-state") spontaneous fluctuations in the functional MRI (fMRI) signal is a standard approach to probing habitual brain states, independent of task-specific context. This view is supported by spatial correspondence between task- and rest-derived connectivity networks. Yet, it remains unclear whether intrinsic connectivity observed in a resting-state acquisitions is persistent during task. Here, we sought to determine how changes in ongoing brain activation, elicited by task performance, impact the integrity of whole-brain functional connectivity patterns. We employed a "steady-states" paradigm, in which participants continuously executed a specific task (without baseline periods). Participants underwent separate task-based (visual, motor and visuomotor) or task-free (resting) steady-state scans, each performed over a 5-minute period. This unique design allowed us to apply a set of traditional resting-state analyses to various task-states. In addition, a classical fMRI block-design was employed to identify individualized brain activation patterns for each task, allowing us to characterize how differing activation patterns across the steady-states impact whole-brain intrinsic connectivity patterns. By examining correlations across segregated brain regions (nodes) and the whole brain (using independent component analysis) using standard resting-state functional connectivity (FC) analysis, we show that the whole-brain network architecture characteristic of the resting-state is comparable across different steady-task states, despite striking inter-task changes in brain activation (signal amplitude). Changes in functional connectivity were detected locally, within the active networks. But to identify these local changes, the contributions of different FC networks to the global intrinsic connectivity pattern had to be isolated. Together, we show that intrinsic connectivity underlying the canonical resting-state networks is relatively stable even when participants are engaged in different tasks and this is not limited to the resting-state.
Neuropsychology Through the MRI Looking Glass
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Oxford Textbook of Cognitive Neurology and Dementia
Author: Masud Husain
language: en
Publisher: Oxford University Press
Release Date: 2018-10-29
Now in paperback, this text covers the dramatic developments that have occurred in basic neuroscience and clinical research in cognitive neurology and dementia. The text is based on the clinical approach to the patient, and provides essential knowledge that is fundamental to clinical practice.