Electrophysiological Dynamics of Default Network Suppression

Distributed brain networks compete with one another in the service of information processing. One dramatic example is antagonism between networks that support internally directed cognition, often collectively referred to as the default network, and networks that orient to external events and drive action. Here we combined within-individual precision functional neuroimaging and intracranial electrophysiology to investigate network competition at high spatiotemporal resolution. In six patients, robust antagonism between networks was established during a target detection task. Network-assigned electrophysiological recordings displayed concordant responses, including in single-neuron firing rates, and further revealed the temporal dynamics of network competition. Networks involved in salience detection and action planning showed early, transient responses that peaked near the participant response. Default network suppression occurred later, reflected in decreases in high-frequency broadband activity and in single-neuron firing rates in response to targets. Examining subcortical regions revealed rapid activity increases in the thalamus and posterior hippocampus aligned to the participant response. Critically, a late evolving, sustained suppression was observed throughout the hippocampus. These findings suggest that, across cortical and subcortical regions, network competition is temporally layered. Furthermore, the hippocampus can be dissociated along its long axis during competition. Such push-pull antagonism may be fundamental to advanced human cognition, and its disruption may underlie mental illness.

Authors

Institutions

Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-11-09
DOI
https://doi.org/10.64898/2026.11.06.764967
Primary Topic
Neural dynamics and brain function
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

Electrophysiological Dynamics of Default Network Suppression

Tyler S. Davis, Elliot H. Smith, Ben Shofty, Jingnan Du et al.
bioRxiv (Cold Spring Harbor Laboratory)
Neural dynamics and brain function
preprint

Electrophysiological Dynamics of Default Network Suppression

Tyler S. Davis, Elliot H. Smith, Ben Shofty, Jingnan Du, Randy L. Buckner, Rhiannon L Cowan, Wendy Sun, Shervin Rahimpour, Jace B. King, Mark R. Libowitz, Daniel A. Feldman, Theo Tobel
preprint en

Abstract

Distributed brain networks compete with one another in the service of information processing. One dramatic example is antagonism between networks that support internally directed cognition, often collectively referred to as the default network, and networks that orient to external events and drive action. Here we combined within-individual precision functional neuroimaging and intracranial electrophysiology to investigate network competition at high spatiotemporal resolution. In six patients, robust antagonism between networks was established during a target detection task. Network-assigned electrophysiological recordings displayed concordant responses, including in single-neuron firing rates, and further revealed the temporal dynamics of network competition. Networks involved in salience detection and action planning showed early, transient responses that peaked near the participant response. Default network suppression occurred later, reflected in decreases in high-frequency broadband activity and in single-neuron firing rates in response to targets. Examining subcortical regions revealed rapid activity increases in the thalamus and posterior hippocampus aligned to the participant response. Critically, a late evolving, sustained suppression was observed throughout the hippocampus. These findings suggest that, across cortical and subcortical regions, network competition is temporally layered. Furthermore, the hippocampus can be dissociated along its long axis during competition. Such push-pull antagonism may be fundamental to advanced human cognition, and its disruption may underlie mental illness.

bioRxiv (Cold Spring Harbor Laboratory)
University of Notre Dame (US), Harvard University (US), University of Utah (US)
Neural dynamics and brain function
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon