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Aberrant Prefrontal-Thalamic-Cerebellar Circuit in Schizophrenia and Depression: Evidence From a Possible Causal Connectivity
被引:43
|作者:
Jiang, Yuchao
[1
]
Duan, Mingjun
[1
,2
]
Chen, Xi
[1
]
Zhang, Xingxing
[1
]
Gong, Jinnan
[1
]
Dong, Debo
[1
]
Li, Hui
[1
,2
]
Yi, Qizhong
[3
]
Wang, Shuya
[4
]
Wang, Jijun
[5
]
Luo, Cheng
[1
]
Yao, Dezhong
[1
]
机构:
[1] Univ Elect Sci & Technol China, Sch Life Sci & Technol, Chengdu Brain Sci Inst, Clin Hosp,MOE Key Lab Neuroinformat,Ctr Informat, Chengdu, Sichuan, Peoples R China
[2] Chengdu Mental Hlth Ctr, Dept Psychiat, Chengdu, Sichuan, Peoples R China
[3] Xinjiang Med Univ, Affiliated Hosp 1, Psychol Med Ctr, Urumqi, Peoples R China
[4] Emory Univ, Biol Dept, Atlanta, GA 30322 USA
[5] Shanghai Jiao Tong Univ, Sch Med, Shanghai Mental Hlth Ctr, Dept EEG Source Imaging, Shanghai, Peoples R China
关键词:
Schizophrenia;
depression;
gray matter;
causal connectivity;
resting-state fMFRI;
VOXEL-BASED MORPHOMETRY;
DEFAULT MODE NETWORK;
GRANGER CAUSALITY;
NEGATIVE SYMPTOMS;
BRAIN;
METAANALYSIS;
DISORDER;
DYSCONNECTIVITY;
1ST-EPISODE;
DIAGNOSIS;
D O I:
10.1142/S0129065718500326
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
Neuroimaging studies have suggested the presence of abnormalities in the prefrontal-thalamic-cerebellar circuit in schizophrenia (SCH) and depression (DEP). However, the common and distinct structural and causal connectivity abnormalities in this circuit between the two disorders are still unclear. In the current study, structural and resting-state functional magnetic resonance imaging (tMRI) data were acquired from 20 patients with SCH, 20 depressive patients and 20 healthy controls (HC). Voxel-based morphometry analysis was first used to assess gray matter volume (GMV). Granger causality analysis, seeded at regions with altered GMVs, was subsequently conducted. To discover the differences between the groups, ANCOVA and post hoc tests were performed. Then, the relationships between the structural changes, causal connectivity and clinical variables were investigated. Finally, a leave-one-out resampling method was implemented to test the consistency. Statistical analyses showed the GMV and causal connectivity changes in the prefrontal-thalamic-cerebellar circuit. Compared with HC, both SCH and DEP exhibited decreased GMV in middle frontal gyrus (MFG), and a lower GMV in MFG and medial prefrontal cortex (MPFC) in SCH than DEP. Compared with HC, both patient groups showed increased causal flow from the right cerebellum to the MPFC (common causal connectivity abnormalities). And distinct causal connectivity abnormalities (increased causal connectivity from the left thalamus to the MPFC in SCH than HC and DEP, and increased causal connectivity from the right cerebellum to the left thalamus in DEP than HC and SCH). In addition, the structural deficits in the MPFC and its causal connectivity from the cerebellum were associated with the negative symptom severity in SCH. This study found common/distinct structural deficits and aberrant causal connectivity patterns in the prefrontal-thalainic-cerebellar circuit in SCH and DEP, which may provide a potential direction for understanding the convergent and divergent psychiatric pathological mechanisms between SCH and DEP. Furthermore, concomitant structural and causal connectivity deficits in the MPFC may jointly contribute to the negative symptoms of SCH.
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