Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, D-07743 Jena, Germany.
Psychiatry Res. 2013 Oct 30;214(1):80-2. doi: 10.1016/j.pscychresns.2013.05.013. Epub 2013 Aug 1.
Probabilistic independent component analysis was applied to identify the default mode network (DMN) in resting state data obtained with functional magnetic resonance imaging from 25 DSM-IV schizophrenia and 25 matched healthy subjects. Power spectrum analysis showed a significant diagnosis × frequency interaction and higher power in one frequency band, indicating an alteration of DMN frequency spectrum in schizophrenia.
概率独立成分分析被应用于从 25 名 DSM-IV 精神分裂症患者和 25 名匹配的健康受试者的静息状态功能磁共振成像数据中识别默认模式网络 (DMN)。功率谱分析显示诊断×频率交互作用和一个频率带中的更高功率，表明精神分裂症中 DMN 频谱发生改变。
