The network-based underpinnings of persisting symptoms after concussion: a multimodal neuroimaging meta-analysis

Persisting symptoms after concussion (PSaC) represent a complex and poorly understood neuropsychiatric phenomenon with limited treatment options. Neural network dysfunction has been associated with PSaC, and neuromodulation, particularly repetitive transcranial magnetic stimulation, may be a promising intervention. However, neuroimaging findings have been inconsistent, limiting understanding of underlying network dysfunction. We aimed to identify a core neural network associated with PSaC and explore whether this network could yield candidate cortical targets for neuromodulation at the individual level. We hypothesized that differences in network disruption would be evident between individuals with high versus low symptom burden in PSaC. Here we show that a convergent multi-analytic approach combining symptom-activation maps generated from existing fMRI datasets, systematic review of resting-state fMRI studies of PSaC, and network-based meta-analysis of coordinates derived from these studies co-localize to the salience network in high symptom burden PSaC. Using Human Connectome Project data, we mapped this network to cortical regions that could serve as individualized targets for neuromodulation. This aligns with current clinical models of PSaC and may present a new direction for network-based therapy.

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Publication Details

Journal
Nature Mental Health
Published
2025-09-23
DOI
https://doi.org/10.1038/s44220-025-00503-6
Citations
3
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
4.29

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article

The network-based underpinnings of persisting symptoms after concussion: a multimodal neuroimaging meta-analysis

Benjamin Davidson, Fa‐Hsuan Lin, Sean M. Nestor, Andrew Zalesky et al.
3 citations
Nature Mental Health
Functional Brain Connectivity Studies
4.29
article

The network-based underpinnings of persisting symptoms after concussion: a multimodal neuroimaging meta-analysis

Benjamin Davidson, Fa‐Hsuan Lin, Sean M. Nestor, Andrew Zalesky, Jennifer S. Rabin, Robin Cash, Carl Froilan D. Leochico, Maged Goubran, Clement Hamani, Nir Lipsman, Adriano Mollica, Isabella J. Sewell, Simon J. Graham, Peter Giacobbe, Matthew J. Burke
article en
3 citations

Abstract

Persisting symptoms after concussion (PSaC) represent a complex and poorly understood neuropsychiatric phenomenon with limited treatment options. Neural network dysfunction has been associated with PSaC, and neuromodulation, particularly repetitive transcranial magnetic stimulation, may be a promising intervention. However, neuroimaging findings have been inconsistent, limiting understanding of underlying network dysfunction. We aimed to identify a core neural network associated with PSaC and explore whether this network could yield candidate cortical targets for neuromodulation at the individual level. We hypothesized that differences in network disruption would be evident between individuals with high versus low symptom burden in PSaC. Here we show that a convergent multi-analytic approach combining symptom-activation maps generated from existing fMRI datasets, systematic review of resting-state fMRI studies of PSaC, and network-based meta-analysis of coordinates derived from these studies co-localize to the salience network in high symptom burden PSaC. Using Human Connectome Project data, we mapped this network to cortical regions that could serve as individualized targets for neuromodulation. This aligns with current clinical models of PSaC and may present a new direction for network-based therapy.

Nature Mental HealthVol. 3(10)
Sunnybrook Health Science Centre (CA), University Health Network (CA), The University of Melbourne (AU), University of Toronto (CA), Toronto Rehabilitation Institute (CA), Health Sciences Centre (CA), St. Luke's Medical Center (PH), Ontario Brain Institute (CA), Sunnybrook Research Institute, Victoria University (AU)
Fondation Brain Canada, Sunnybrook Research Institute, University of Toronto, Azrieli Foundation, Canadian Institutes of Health Research, Medical Research Council, National Health and Medical Research Council
Openalex Percentile: Top 5%
Functional Brain Connectivity Studies
4.29
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