Teng Shin, Lu Chia-Feng, Wang Po-Shan, Hung Chih-I, Li Cheng-Ta, Tu Pei-Chi, Su Tung-Ping, Wu Yu-Te
Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:1057-60. doi: 10.1109/EMBC.2013.6609686.
The emotional and cognitive symptoms of bipolar disorder (BD) are suggested to involve in a distributed neural network. The resting-state functional magnetic resonance imaging (fMRI) offers an important tool to investigate the alterations in brain network level of BD. The aim of this study was to discriminate BD patients from healthy controls using whole-brain resting-state functional connectivity patterns. The majority of most discriminating functional connectivities were between the basal ganglia and three core neurocognitive networks, including the default mode, executive control and salience networks. Using these resting-state functional connectivities between the basal ganglia and three core neurocognitive networks as the features, the clustering accuracy achieved 90%.
双相情感障碍（BD）的情绪和认知症状被认为涉及一个分布式神经网络。静息态功能磁共振成像（fMRI）为研究BD患者脑网络水平的改变提供了一个重要工具。本研究的目的是利用全脑静息态功能连接模式将BD患者与健康对照区分开来。大多数最具鉴别力的功能连接存在于基底神经节与三个核心神经认知网络之间，包括默认模式网络、执行控制网络和突显网络。以基底神经节与三个核心神经认知网络之间的这些静息态功能连接为特征，聚类准确率达到了90%。
