Prediction of cognitive outcome after mild traumatic brain injury from acute measures of communication within brain networks
Journal article
Imms, Phoebe, Chowdhury, Nahian F., Chaudhari, Nikhil N., Amgalan, Anar, Poudel, Govinda, Caeyenberghs, Karen and Irimia, Andrei. (2024). Prediction of cognitive outcome after mild traumatic brain injury from acute measures of communication within brain networks. Cortex. 171, pp. 397-412. https://doi.org/10.1016/j.cortex.2023.10.022
Authors | Imms, Phoebe, Chowdhury, Nahian F., Chaudhari, Nikhil N., Amgalan, Anar, Poudel, Govinda, Caeyenberghs, Karen and Irimia, Andrei |
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Abstract | A considerable but ill-defined proportion of patients with mild traumatic brain injury (mTBI) experience persistent cognitive sequelae; the ability to identify such individuals early can help their neurorehabilitation. Here we tested the hypothesis that acute measures of efficient communication within brain networks are associated with patients’ risk for unfavorable cognitive outcome six months after mTBI. Diffusion and T1-weighted magnetic resonance imaging, alongside cognitive measures, were obtained to map connectomes both one week and six months post injury in 113 adult patients with mTBI (71 males). For task-related brain networks, communication measures (characteristic path length, global efficiency, navigation efficiency) were moderately correlated with changes in cognition. Taking into account the covariance of age and sex, more unfavorable communication within networks were associated with worse outcomes within cognitive domains frequently impacted by mTBI (episodic and working memory, verbal fluency, inductive reasoning, and processing speed). Individuals with more unfavorable outcomes had significantly longer and less efficient pathways within networks supporting verbal fluency (all t > 2.786, p < .006), highlighting the vulnerability of language to mTBI. Participants in whom a task-related network was relatively inefficient one week post injury were up to eight times more likely to have unfavorable cognitive outcome pertaining to that task. Our findings suggest that communication measures within task-related networks identify mTBI patients who are unlikely to develop persistent cognitive deficits after mTBI. Our approach and findings can help to stratify mTBI patients according to their expected need for follow-up and/or neurorehabilitation. |
Keywords | brain injury; outcome prediction; executive function; neurocognitive deficit prognosis; structural connectomics |
Year | 2024 |
Journal | Cortex |
Journal citation | 171, pp. 397-412 |
Publisher | Elsevier Ltd |
ISSN | 0010-9452 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.cortex.2023.10.022 |
PubMed ID | 38103453 |
Scopus EID | 2-s2.0-85063968329 |
PubMed Central ID | PMC10922490 |
Page range | 397-412 |
Funder | National Institutes of Health (NIH), United States of America |
Department of Defense, United States of America | |
Hanson-Thorell Research Scholarship Fund | |
Undergraduate Research Associate Program (URAP), University of Southern California | |
Center for Undergraduate Research in Viterbi Engineering (CURVE), University of Southern California | |
National Health and Medical Research Council (NHMRC) | |
Publisher's version | License All rights reserved File Access Level Controlled |
Output status | Published |
Publication dates | |
Online | 15 Dec 2023 |
Publication process dates | |
Accepted | 20 Oct 2023 |
Deposited | 26 May 2025 |
Grant ID | R01 NS 100973 |
RF1 AG 082201 | |
R01 AG 079957 | |
W81XWH-18-1-0413 | |
APP1143816 | |
Additional information | © 2023 Elsevier Ltd. All rights reserved. |
https://acuresearchbank.acu.edu.au/item/91x1y/prediction-of-cognitive-outcome-after-mild-traumatic-brain-injury-from-acute-measures-of-communication-within-brain-networks
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