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Functional-structural large-scale brain networks are correlated with neurocognitive impairment in acute mild traumatic brain injury
BACKGROUND: This study was conducted to investigate topological changes in large-scale functional connectivity (FC) and structural connectivity (SC) networks in acute mild traumatic brain injury (mTBI) and determine their potential relevance to cognitive impairment. METHODS: Seventy-one patients wit...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929413/ https://www.ncbi.nlm.nih.gov/pubmed/36819289 http://dx.doi.org/10.21037/qims-22-450 |
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author | Liu, Yin Li, Fengfang Shang, Song’an Wang, Peng Yin, Xindao Krishnan Muthaiah, Vijaya Prakash Lu, Liyan Chen, Yu-Chen |
author_facet | Liu, Yin Li, Fengfang Shang, Song’an Wang, Peng Yin, Xindao Krishnan Muthaiah, Vijaya Prakash Lu, Liyan Chen, Yu-Chen |
author_sort | Liu, Yin |
collection | PubMed |
description | BACKGROUND: This study was conducted to investigate topological changes in large-scale functional connectivity (FC) and structural connectivity (SC) networks in acute mild traumatic brain injury (mTBI) and determine their potential relevance to cognitive impairment. METHODS: Seventy-one patients with acute mTBI (29 males, 42 females, mean age 43.54 years) from Nanjing First Hospital and 57 matched healthy controls (HC) (33 males, 24 females, mean age 46.16 years) from the local community were recruited in this prospective study. Resting-state functional magnetic resonance imaging (rs-fMRI) and diffusion tensor imaging (DTI) were acquired within 14 days (mean 3.29 days) after the onset of mTBI. Then, large-scale FC and SC networks with 116 regions from the automated anatomical labeling (AAL) brain atlas were constructed. Graph theory analysis was used to analyze global and nodal metrics. Finally, correlations were assessed between topological properties and neurocognitive performances evaluated by the Montreal Cognitive Assessment (MoCA). Bonferroni correction was performed out for multiple comparisons in all involved analyses. RESULTS: Compared with HC, acute mTBI patients had a higher normalized clustering coefficient (γ) for FC (Cohen’s d=4.076), and higher γ and small worldness (σ) for SC (Cohen’s d=0.390 and Cohen’s d=0.395). The mTBI group showed aberrant nodal degree (Dc), nodal efficiency (Ne), and nodal local efficiency (Nloc) for FC and aberrant Dc, nodal betweenness (Bc), nodal clustering coefficient (NCp) and Ne for SC mainly in the frontal and temporal, cerebellum, and subcortical areas. Acute mTBI patients also had higher functional-structural coupling strength at both the group and individual levels (Cohen’s d=0.415). These aberrant global and nodal topological properties at functional and structural levels were associated with attention, orientation, memory, and naming performances (all P<0.05). CONCLUSIONS: Our findings suggested that large-scale FC and SC network changes, higher correlation between FC and SC and cognitive impairment can be detected in the acute stage of mTBI. These network aberrances may be a compensatory mechanism for cognitive impairment in acute mTBI patients. |
format | Online Article Text |
id | pubmed-9929413 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-99294132023-02-16 Functional-structural large-scale brain networks are correlated with neurocognitive impairment in acute mild traumatic brain injury Liu, Yin Li, Fengfang Shang, Song’an Wang, Peng Yin, Xindao Krishnan Muthaiah, Vijaya Prakash Lu, Liyan Chen, Yu-Chen Quant Imaging Med Surg Original Article BACKGROUND: This study was conducted to investigate topological changes in large-scale functional connectivity (FC) and structural connectivity (SC) networks in acute mild traumatic brain injury (mTBI) and determine their potential relevance to cognitive impairment. METHODS: Seventy-one patients with acute mTBI (29 males, 42 females, mean age 43.54 years) from Nanjing First Hospital and 57 matched healthy controls (HC) (33 males, 24 females, mean age 46.16 years) from the local community were recruited in this prospective study. Resting-state functional magnetic resonance imaging (rs-fMRI) and diffusion tensor imaging (DTI) were acquired within 14 days (mean 3.29 days) after the onset of mTBI. Then, large-scale FC and SC networks with 116 regions from the automated anatomical labeling (AAL) brain atlas were constructed. Graph theory analysis was used to analyze global and nodal metrics. Finally, correlations were assessed between topological properties and neurocognitive performances evaluated by the Montreal Cognitive Assessment (MoCA). Bonferroni correction was performed out for multiple comparisons in all involved analyses. RESULTS: Compared with HC, acute mTBI patients had a higher normalized clustering coefficient (γ) for FC (Cohen’s d=4.076), and higher γ and small worldness (σ) for SC (Cohen’s d=0.390 and Cohen’s d=0.395). The mTBI group showed aberrant nodal degree (Dc), nodal efficiency (Ne), and nodal local efficiency (Nloc) for FC and aberrant Dc, nodal betweenness (Bc), nodal clustering coefficient (NCp) and Ne for SC mainly in the frontal and temporal, cerebellum, and subcortical areas. Acute mTBI patients also had higher functional-structural coupling strength at both the group and individual levels (Cohen’s d=0.415). These aberrant global and nodal topological properties at functional and structural levels were associated with attention, orientation, memory, and naming performances (all P<0.05). CONCLUSIONS: Our findings suggested that large-scale FC and SC network changes, higher correlation between FC and SC and cognitive impairment can be detected in the acute stage of mTBI. These network aberrances may be a compensatory mechanism for cognitive impairment in acute mTBI patients. AME Publishing Company 2022-11-29 2023-02-01 /pmc/articles/PMC9929413/ /pubmed/36819289 http://dx.doi.org/10.21037/qims-22-450 Text en 2023 Quantitative Imaging in Medicine and Surgery. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Liu, Yin Li, Fengfang Shang, Song’an Wang, Peng Yin, Xindao Krishnan Muthaiah, Vijaya Prakash Lu, Liyan Chen, Yu-Chen Functional-structural large-scale brain networks are correlated with neurocognitive impairment in acute mild traumatic brain injury |
title | Functional-structural large-scale brain networks are correlated with neurocognitive impairment in acute mild traumatic brain injury |
title_full | Functional-structural large-scale brain networks are correlated with neurocognitive impairment in acute mild traumatic brain injury |
title_fullStr | Functional-structural large-scale brain networks are correlated with neurocognitive impairment in acute mild traumatic brain injury |
title_full_unstemmed | Functional-structural large-scale brain networks are correlated with neurocognitive impairment in acute mild traumatic brain injury |
title_short | Functional-structural large-scale brain networks are correlated with neurocognitive impairment in acute mild traumatic brain injury |
title_sort | functional-structural large-scale brain networks are correlated with neurocognitive impairment in acute mild traumatic brain injury |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929413/ https://www.ncbi.nlm.nih.gov/pubmed/36819289 http://dx.doi.org/10.21037/qims-22-450 |
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