Distinguishing Between Treatment-Resistant and Non-Treatment-Resistant Schizophrenia Using Regional Homogeneity.
Distinguishing Between Treatment-Resistant and Non-Treatment-Resistant Schizophrenia Using Regional Homogeneity.
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利用区域同质性区分难治性和非难治性精神分裂症
DOI:
10.3389/fpsyt.2018.00282
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发表时间:
2018
影响因子:
4.7
通讯作者:
Xu X
中科院分区:
文献类型:
--
作者:
Gao S;Lu S;Shi X;Ming Y;Xiao C;Sun J;Yao H;Xu X
Background: Patients with treatment-resistant schizophrenia (TRS) and non-treatment-resistant schizophrenia (NTRS) respond to antipsychotic drugs differently. Previous studies demonstrated that patients with TRS or NTRS exhibited abnormal neural activity in different brain regions. Accordingly, in the present study, we tested the hypothesis that a regional homogeneity (ReHo) approach could be used to distinguish between patients with TRS and NTRS. Methods: A total of 17 patients with TRS, 17 patients with NTRS, and 29 healthy controls (HCs) matched in sex, age, and education levels were recruited to undergo resting-state functional magnetic resonance imaging (RS-fMRI). ReHo was used to process the data. ANCOVA followed by post-hoc t-tests, receiver operating characteristic curves (ROC), and correlation analyses were applied for the data analysis. Results: ANCOVA analysis revealed widespread differences in ReHo among the three groups in the occipital, frontal, temporal, and parietal lobes. ROC results indicated that the optimal sensitivity and specificity of the ReHo values in the left postcentral gyrus, left inferior frontal gyrus/triangular part, and right fusiform could differentiate TRS from NTRS, TRS from HCs, and NTRS from HCs were 94.12 and 82.35%, 100 and 86.21%, and 82.35 and 93.10%, respectively. No correlation was found between abnormal ReHo and clinical symptoms in patients with TRS or NTRS. Conclusions: TRS and NTRS shared most brain regions with abnormal neural activity. Abnormal ReHo values in certain brain regions might be applied to differentiate TRS from NTRS, TRS from HC, and NTRS from HC with high sensitivity and specificity.
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影响因子:
4.5
作者:
Hoptman MJ;Zuo XN;D'Angelo D;Mauro CJ;Butler PD;Milham MP;Javitt DC
通讯作者:
Javitt DC
影响因子:
4.8
作者:
Jeong, Bumseok;Wible, Cynthia G.;Hashimoto, Ryu-ichiro;Kubicki, Marek
通讯作者:
Kubicki, Marek
影响因子:
17.7
作者:
Jardri, Renaud;Pouchet, Alexandre;Thomas, Pierre
通讯作者:
Thomas, Pierre
影响因子:
6.6
作者:
Guo, Wenbin;Liu, Feng;Zhao, Jingping
通讯作者:
Zhao, Jingping
影响因子:
4
作者:
Dragovic, Milan;Hammond, Geoff
通讯作者:
Hammond, Geoff