Resting-State Isolated Effective Connectivity of the Cingulate Cortex as a Neurophysiological Biomarker in Patients with Severe Treatment-Resistant Schizophrenia

Autor: Sakiko Tsugawa, Zafiris J. Daskalakis, Fumi Masuda, Yoshihiro Noda, Karin Matsushita, Kamiyu Ogyu, Daniel M. Blumberger, Shiori Honda, Masataka Wada, Masaru Mimura, Takahiro Miyazaki, Yudai Kikuchi, Shinya Fujii, Ryosuke Tarumi, Shinichiro Nakajima
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Journal of Personalized Medicine
Volume 10
Issue 3
Journal of Personalized Medicine, Vol 10, Iss 89, p 89 (2020)
ISSN: 2075-4426
DOI: 10.3390/jpm10030089
Popis: Background: 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. Methods: 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 t-tests. Results: The ANOVA and post-hoc t-tests for the iCoh ratio of directionality from PCC to ACC showed significant findings in delta (t45 = 7.659, p = 0.008) and theta (t45 = 8.066, p = 0.007) bands in the left side (TRS <
nTRS). Conclusion: 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.
Databáze: OpenAIRE