Wada Masataka, Nakajima Shinichiro, Tarumi Ryosuke, Masuda Fumi, Miyazaki Takahiro, Tsugawa Sakiko, Ogyu Kamiyu, Honda Shiori, Matsushita Karin, Kikuchi Yudai, Fujii Shinya, Blumberger Daniel M, Daskalakis Zafiris J, Mimura Masaru, Noda Yoshihiro
Department of Neuropsychiatry, Keio University School of Medicine, Tokyo 160-8582, Japan.
Department of Psychiatry, Komagino Hospital, Tokyo 193-8505, Japan.
J Pers Med. 2020 Aug 14;10(3):89. doi: 10.3390/jpm10030089.
: The neural basis of treatment-resistant schizophrenia (TRS) remains unclear. Previous neuroimaging studies suggest that aberrant connectivity between the anterior cingulate cortex (ACC) and default mode network (DMN) may play a key role in the pathophysiology of TRS. Thus, we aimed to examine the connectivity between the ACC and posterior cingulate cortex (PCC), a hub of the DMN, computing isolated effective coherence (iCoh), which represents causal effective connectivity. : Resting-state electroencephalogram with 19 channels was acquired from seventeen patients with TRS and thirty patients with non-TRS (nTRS). The iCoh values between the PCC and ACC were calculated using sLORETA software. We conducted four-way analyses of variance (ANOVAs) for iCoh values with group as a between-subject factor and frequency, directionality, and laterality as within-subject factors and post-hoc independent -tests. : The ANOVA and post-hoc -tests for the iCoh ratio of directionality from PCC to ACC showed significant findings in delta ( = 7.659, = 0.008) and theta ( = 8.066, = 0.007) bands in the left side (TRS < nTRS). : Left delta and theta PCC and ACC iCoh ratio may represent a neurophysiological basis of TRS. Given the preliminary nature of this study, these results warrant further study to confirm the importance of iCoh as a clinical indicator for treatment-resistance.
难治性精神分裂症(TRS)的神经基础仍不清楚。先前的神经影像学研究表明,前扣带回皮质(ACC)与默认模式网络(DMN)之间的异常连接可能在TRS的病理生理学中起关键作用。因此,我们旨在研究ACC与DMN枢纽后扣带回皮质(PCC)之间的连接,计算孤立有效相干性(iCoh),其代表因果有效连接。:从17例TRS患者和30例非TRS(nTRS)患者中采集了19通道静息态脑电图。使用sLORETA软件计算PCC和ACC之间的iCoh值。我们对iCoh值进行了四因素方差分析(ANOVA),将组作为组间因素,频率、方向性和脑侧性作为组内因素,并进行事后独立检验。:对从PCC到ACC的方向性iCoh比率进行的ANOVA和事后检验显示,左侧δ波(F = 7.659,p = 0.008)和θ波(F = 8.066,p = 0.007)频段有显著结果(TRS < nTRS)。:左侧δ波和θ波的PCC与ACC的iCoh比率可能代表TRS的神经生理基础。鉴于本研究的初步性质,这些结果需要进一步研究以确认iCoh作为治疗抵抗临床指标的重要性。