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Default Mode Network Connectivity Predicts Emotion Recognition and Social Integration After Traumatic Brain Injury

机译:默认模式网络连接预测颅脑外伤后的情绪识别和社交融合

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摘要

Moderate-severe traumatic brain injury (TBI) may result in difficulty with emotion recognition, which has negative implications for social functioning. As aspects of social cognition have been linked to resting-state functional connectivity (RSFC) in the default mode network (DMN), we sought to determine whether DMN connectivity strength predicts emotion recognition and level of social integration in TBI. To this end, we examined emotion recognition ability of 21 individuals with TBI and 27 healthy controls in relation to RSFC between DMN regions. Across all participants, decreased emotion recognition ability was related to increased connectivity between dorsomedial prefrontal cortex (dmPFC) and temporal regions (temporal pole and parahippocampal gyrus). Furthermore, within the TBI group, connectivity between dmPFC and parahippocampal gyrus predicted level of social integration on the Community Integration Questionnaire, an important index of post-injury social functioning in TBI. This finding was not explained by emotion recognition ability, indicating that DMN connectivity predicts social functioning independent of emotion recognition. These results advance our understanding of the neural underpinnings of emotional and social processes in both healthy and injured brains, and suggest that RSFC may be an important marker of social outcomes in individuals with TBI.
机译:中度重度创伤性脑损伤(TBI)可能会导致情绪识别困难,这对社交功能产生负面影响。由于社交认知的各个方面已与默认模式网络(DMN)中的静止状态功能连接(RSFC)相关联,因此我们试图确定DMN的连接强度是否能够预测TBI中的情绪识别和社交整合水平。为此,我们检查了21名TBI患者和27名健康对照者与DMN地区之间的RSFC的情绪识别能力。在所有参与者中,情绪识别能力的下降与背阔肌前额叶皮层(dmPFC)和颞区域(颞极和海马旁回)之间的连通性增加有关。此外,在TBI组中,dmPFC和海马旁回之间的连通性在社区融合问卷上预测了社会融合的水平,这是TBI损伤后社会功能的重要指标。情绪识别能力无法解释这一发现,表明DMN连通性可预测独立于情绪识别的社交功能。这些结果使我们对健康和受伤的大脑中情绪和社交过程的神经基础有了更深入的了解,并表明RSFC可能是TBI患者社交成果的重要标志。

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