Structural-functional connectivity bandwidth predicts processing speed in mild traumatic brain injury : A multiplex network analysis
Journal article
Parsons, Nicholas, Irimia, Andrei, Amgalan, Anar, Ugon, Julien, Morgan, Kerri, Shelyag, Sergiy, Hocking, Alex, Poudel, Govinda and Caeyenberghs, Karen. (2023). Structural-functional connectivity bandwidth predicts processing speed in mild traumatic brain injury : A multiplex network analysis. NeuroImage: Clinical. 38, p. Article 103428. https://doi.org/10.1016/j.nicl.2023.103428
Authors | Parsons, Nicholas, Irimia, Andrei, Amgalan, Anar, Ugon, Julien, Morgan, Kerri, Shelyag, Sergiy, Hocking, Alex, Poudel, Govinda and Caeyenberghs, Karen |
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Abstract | An emerging body of work has revealed alterations in structural (SC) and functional (FC) brain connectivity following mild TBI (mTBI), with mixed findings. However, these studies seldom integrate complimentary neuroimaging modalities within a unified framework. Multilayer network analysis is an emerging technique to uncover how white matter organization enables functional communication. Using our novel graph metric (SC-FC Bandwidth), we quantified the information capacity of synchronous brain regions in 53 mild TBI patients (46 females; age mean = 40.2 years (y), σ = 16.7 (y), range: 18–79 (y). Diffusion MRI and resting state fMRI were administered at the acute and chronic post-injury intervals. Moreover, participants completed a cognitive task to measure processing speed (30 Seconds and Counting Task; 30-SACT). Processing speed was significantly increased at the chronic, relative to the acute post-injury intervals (p = <0.001). Nonlinear principal components of direct (t = -1.84, p = 0.06) and indirect SC-FC Bandwidth (t = 3.86, p = <0.001) predicted processing speed with a moderate effect size (R2 = 0.43, p < 0.001), while controlling for age. A subnetwork of interhemispheric edges with increased SC-FC Bandwidth was identified at the chronic, relative to the acute mTBI post-injury interval (pFDR = 0.05). Increased interhemispheric SC-FC Bandwidth of this network corresponded with improved processing speed at the chronic post-injury interval (partial r = 0.32, p = 0.02). Our findings revealed that mild TBI results in complex reorganization of brain connectivity optimized for maximum information flow, supporting improved cognitive performance as a compensatory mechanism. Moving forward, this measurement may complement clinical assessment as an objective marker of mTBI recovery. |
Keywords | mild traumatic brain injury; structural connectivity; diffusion MRI; functional connectivity; functional MRI; multiplex network analysis |
Year | 2023 |
Journal | NeuroImage: Clinical |
Journal citation | 38, p. Article 103428 |
Publisher | Elsevier Inc. |
ISSN | 2213-1582 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.nicl.2023.103428 |
PubMed ID | 37167841 |
Scopus EID | 2-s2.0-85158885946 |
PubMed Central ID | PMC10196722 |
Open access | Published as ‘gold’ (paid) open access |
Page range | 1-13 |
Funder | Deakin University Postgraduate Research Scholarship (DUPRS) |
Australian Research Council (ARC) | |
Department of Health, Victorian Government | |
Association of Australian Medical Research Institutes | |
Victorian Department of Jobs, Precincts and Regions, Victorian Government | |
Deakin University | |
Publisher's version | License File Access Level Open |
Output status | Published |
Publication dates | |
Online | 05 May 2023 |
Publication process dates | |
Accepted | 01 May 2023 |
Deposited | 31 Mar 2025 |
ARC Funded Research | This output has been funded, wholly or partially, under the Australian Research Council Act 2001 |
Grant ID | DP180100602 |
Additional information | © 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
https://acuresearchbank.acu.edu.au/item/9183z/structural-functional-connectivity-bandwidth-predicts-processing-speed-in-mild-traumatic-brain-injury-a-multiplex-network-analysis
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Publisher's version
OA_Parsons_2023_Structural_functional_connectivity_bandwidth_predicts_processing.pdf | |
License: CC BY-NC-ND 4.0 | |
File access level: Open |
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