Functional-structural large-scale brain networks are correlated with neurocognitive impairment in acute mild traumatic brain injury

Quantitative Imaging in Medicine and Surgery

article

Yin Liu¹  Fengfang Li¹  Song’an Shang¹  Peng Wang¹  Xindao Yin¹  Vijaya Prakash Krishnan Muthaiah²  Liyan Lu¹  Yu-Chen Chen¹ 

[1] Department of Radiology, Nanjing First Hospital , Nanjing Medical University;Department of Rehabilitation Sciences, School of Public Health and Health Professions , State University of New York at Buffalo

关键词: Graph theory analysis;    resting-state functional MRI;    diffusion tensor imaging (DTI);    mild traumatic brain injury (mTBI);    cognitive decline;   

DOI  :  10.21037/qims-22-450

学科分类：外科医学

来源: AME Publications

【 摘 要 】

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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