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Related Experiment Video

Updated: May 11, 2026

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

Infraslow Dynamic Patterns in Human Cortical Networks Track a Spectrum of External to Internal Attention.

Harrison Watters¹, Aleah Davis^2,3, Abia Fazili¹

¹Emory Neuroscience Graduate Program, Emory University, Atlanta, Georgia, USA.

Human Brain Mapping

|February 21, 2025

Summary

This study introduces a spectrum of dynamic functional connectivity in the brain, revealing how neural networks shift with attention. These findings offer potential biomarkers for neurological disorders using functional MRI (fMRI).

Keywords:

anticorrelation attention cortical networks default mode sliding window correlation

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Last Updated: May 11, 2026

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

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Published on: July 5, 2015

Intracortical Inhibition Within the Primary Motor Cortex Can Be Modulated by Changing the Focus of Attention

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Published on: September 11, 2017

Area of Science:

Neuroscience
Cognitive Neuroscience
Neuroimaging

Background:

Early brain research focused on localized functions, but the cortex is now understood as a dynamic network system.
Functional MRI (fMRI) shows promise for detecting neurodegenerative diseases via dynamic functional connectivity.
A neurotypical spectrum is needed to interpret fMRI dynamic connectivity across different attentional states.

Purpose of the Study:

To establish a spectrum of dynamic functional connectivity across various attentional states.
To investigate network-scale spatiotemporal patterns in fMRI data.
To explore the potential of network dynamics as individual biomarkers.

Main Methods:

Applied dynamic analysis to network-scale spatiotemporal patterns in diverse fMRI datasets.
Included tasks varying in attentional demands: moving dot, working memory, congruence, resting state, meditation, and passive viewing.
Analyzed shifts in functional connectivity across a spectrum of external to internal attention.

Main Results:

Cortical networks demonstrated dynamic functional connectivity shifts along an attention spectrum.
Networks previously defined as a single 'task positive network' showed divergent responses.
Somatosensory and visual networks exhibited significant phase shifting across the attention spectrum.

Conclusions:

Dynamic functional connectivity provides a spectrum reflecting attentional demands.
Network dynamics show robustness at group and individual levels, supporting biomarker potential.
This study is the first to map dynamic network relationships across an attention spectrum.