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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...

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Autores principales: Liu, Yin, Li, Fengfang, Shang, Song’an, Wang, Peng, Yin, Xindao, Krishnan Muthaiah, Vijaya Prakash, Lu, Liyan, Chen, Yu-Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
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.
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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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