AUTHOR=Liu Yongkang , Wu Wenzhong , Chen Xiao , Wu Minghua , Hu Gang , Zhou Guoxing , Wang Zhongqiu , Chen Rong 

TITLE=Aberrant Correlation Between the Default Mode and Salience Networks in Mild Traumatic Brain Injury

JOURNAL=Frontiers in Computational Neuroscience

VOLUME=14

YEAR=2020

URL=https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2020.00068

DOI=10.3389/fncom.2020.00068

ISSN=1662-5188

ABSTRACT=<p><bold>Objectives:</bold> The specific intrinsic network coupling abnormalities in mild traumatic brain injury (mTBI) patients are poorly understood. Our objective is to compare the correlations among the default mode, salience, and central executive networks in patients with mTBI and healthy controls.</p><p><bold>Methods:</bold> This 2-year prospective study included 32 acute mTBI patients and 37 healthy comparisons. We calculated the functional connectivity scores among the default mode, salience, and central executive networks. Then we conducted multilevel correlation analysis to investigate component correlations, global graph, and local functional connectivity changes.</p><p><bold>Results:</bold> Patients with mTBI showed significant increased functional connectivity between the anterior part of the default mode network and the salience network compared with controls (<italic>p</italic> = 0.013, false discovery rate correction). Hyper-connectivity between the default mode and salience network was significantly positively correlated with the dimensional change card sort score in patients with mTBI (<italic>r</italic> = 0.40, <italic>p</italic> = 0.037). The average path length of mTBI patients was significantly higher than that of controls (<italic>p</italic> = 0.028).</p><p><bold>Conclusions:</bold> Aberrant functional coupling between the default mode and salience networks were identified in acute mTBI patients. Our finding has great potential to improve our understanding of the network architecture of mTBI.</p>