基于光学脑成像的抑郁症前额皮层静息态网络的研究

抑郁症患者通常表现出心境低落，并且伴随许多认知和生理症状. 文中使用功能性近红外光谱成像技术(fNIRS)来测量28名抑郁症患者和30名对照组8 min前额皮层的自发血液动力活动. 通过图论和拓扑分析对大脑前额皮层静息态网络属性进行分析，结果表明，抑郁症患者前额皮层网络表现出异常的模式:显著降低的网络密度（低的平均节点等级）、显著降低的聚集程度（低的聚类系数）、显著降低的网络信息传输效率（高的平均路径长度）以及显著增加的随机性（低的小世界属性）. 这些结果表明使用近红外光谱技术能够揭示抑郁症患者脑网络的异常特性.

A Study on the Prefrontal Cortial Network of Patient with Depression Based on Optical Brain Imaging

Patients with depression usually show depressive state, accompanied with cognitive and physical symptoms. Functional near-infrared spectroscopy (fNIRS) was utilized to investigate 8-minute spontaneous hemodynamic activity in the prefrontal cortex of 28 patients with depressive episode and 30 healthy controls. By adopting a graph-theoretical and topological analysis, the results indicated that patients with depressive state showed altered network patterns in the prefrontal cortex with significantly reduced density (lower average node degree), less cliquishness (lower average clustering coefficient), poor efficiency (higher average path length) and greater randomness (weaker small-world properties). These results support fNIRS measurement of the prefrontal cortex networks in the resting state as a feasible and effective way to assess the neural properties of psychiatric disorders.