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首页> 外文期刊>The Journal of Neuroscience: The Official Journal of the Society for Neuroscience >Intrinsic Functional Connectivity Patterns Predict Consciousness Level and Recovery Outcome in Acquired Brain Injury
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Intrinsic Functional Connectivity Patterns Predict Consciousness Level and Recovery Outcome in Acquired Brain Injury

机译：内部功能连接模式可预测后天性脑损伤的意识水平和恢复结果

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For accurate diagnosis and prognostic prediction of acquired brain injury (ABI), it is crucial to understand the neurobiological mechanisms underlying loss of consciousness. However, there is no consensus on which regions and networks act as biomarkers for consciousness level and recovery outcome in ABI. Using resting-state fMRI, we assessed intrinsic functional connectivity strength (FCS) of whole-brain networks in a large sample of 99 ABI patients with varying degrees of consciousness loss (including fully preserved consciousness state, minimally conscious state, unresponsive wakefulness syndrome/vegetative state, and coma) and 34 healthy control subjects. Consciousness level was evaluated using the Glasgow Coma Scale and Coma Recovery Scale-Revised on the day of fMRI scanning; recovery outcome was assessed using the Glasgow Outcome Scale 3 months after the fMRI scanning. One-way ANOVA of FCS, Spearman correlation analyses between FCS and the consciousness level and recovery outcome, and FCS-based multivariate pattern analysis were performed. We found decreased FCS with loss of consciousness primarily distributed in the posterior cingulate cortex/precuneus (PCC/PCU), medial prefrontal cortex, and lateral parietal cortex. The FCS values of these regions were significantly correlated with consciousness level and recovery outcome. Multivariate support vector machine discrimination analysis revealed that the FCS patterns predicted whether patients with unresponsive wakefulness syndrome/vegetative state and coma would regain consciousness with an accuracy of 81.25%, and the most discriminative region was the PCC/PCU. These findings suggest that intrinsic functional connectivity patterns of the human posteromedial cortex could serve as a potential indicator for consciousness level and recovery outcome in individuals with ABI.
机译：对于获得性脑损伤（ABI）的准确诊断和预后预测，了解潜在的意识丧失的神经生物学机制至关重要。但是，关于哪些区域和网络充当ABI意识水平和恢复结果的生物标志物尚无共识。使用静止状态功能磁共振成像，我们评估了99名不同程度的意识丧失（包括完全保存的意识状态，最低意识状态，无反应的清醒综合征/植物性）的99名ABI患者的全脑网络的内在功能连接强度（FCS）状态和昏迷）和34位健康对照对象。在功能磁共振成像扫描当天，使用格拉斯哥昏迷量表和昏迷恢复量表（修订版）评估意识水平; fMRI扫描后3个月，使用格拉斯哥成果量表评估恢复结果。进行了FCS的单向方差分析，FCS与意识水平和恢复结果之间的Spearman相关分析以及基于FCS的多元模式分析。我们发现意识丧失的FCS减少主要分布在扣带回后皮层/前神经节（PCC / PCU），内侧前额叶皮层和外侧顶叶皮层。这些区域的FCS值与意识水平和恢复结果显着相关。多变量支持向量机判别分析显示，FCS模式可预测无反应的清醒综合征/植物状态和昏迷患者是否会以81.25％的准确度恢复意识，而最有区别的区域是PCC / PCU。这些发现表明，人后内侧皮质的内在功能连接性模式可以作为ABI患者意识水平和恢复结果的潜在指标。

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