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Related Experiment Video

Updated: Feb 26, 2026

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

Parallel Interdigitated Distributed Networks within the Individual Estimated by Intrinsic Functional Connectivity.

Rodrigo M Braga¹, Randy L Buckner²

¹Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA; The Computational, Cognitive & Clinical Neuroimaging Laboratory, Hammersmith Hospital Campus, Imperial College London, London W12 0NN, UK; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA.

|July 21, 2017

Summary

Individual brain network organization differs from group averages. This study reveals the default network comprises two distinct subnetworks, challenging current neuroimaging analysis methods.

Keywords:

association cortex brain systems default network dorsal attention network frontoparietal network hippocampus memory

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Area of Science:

Neuroimaging
Systems Neuroscience
Connectomics

Background:

Group-averaged data in neuroimaging can obscure individual brain network details.
The default network is a widely studied large-scale brain network.

Purpose of the Study:

To investigate the detailed network organization within individuals using repeated MRI scans.
To identify if commonly studied brain networks, like the default network, are consistently organized across individuals.

Main Methods:

Magnetic Resonance Imaging (MRI) was used to scan four individuals 24 times each.
Analysis focused on detailed network organization at the individual level, contrasting with group-level analyses.

Main Results:

The default network was found to comprise two distinct subnetworks in eight or more cortical zones.
One subnetwork was coupled to the hippocampal formation, while the other was not.
These subnetworks juxtaposed with other fractionated networks, suggesting a macroscale gradient organization.

Conclusions:

Individual brain network architecture, particularly the default network, is more complex than group averages suggest.
Spatial variability in network composition across individuals impacts group-level estimations and applications like neuromodulation.