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Disrupted pathways from limbic areas to thalamus in schizophrenia highlighted by whole-brain resting-state effective connectivity analysis
Hua, Minghui1,2; Peng, Yanmin1,2; Zhou, Yuan3,4,5; Qin, Wen6,7; Yu, Chunshui1,2,6,7,8; Liang, Meng1,2
Abstract

Background: Numerous neuroimaging studies have revealed that schizophrenia was characterized by widespread dysconnection among brain regions during rest measured by functional connectivity (FC). In contrast with FC, effective connectivity (EC) provides information about directionality of brain connections and is thus valuable in mechanistic investigation of schizophrenic brain. However, a systematic characterization of whole-brain resting-state EC (rsEC) and how it captures different information compared with resting-state FC (rsFC) in schizophrenia are still lacking. Aims: To systematically characterize the abnormalities of rsEC, compared with rsFC, in schizophrenia, and to test its discriminative power as a neuroimaging marker for schizophrenia diagnosis. Method: Whole-brain rsEC and rsFC networks were constructed using resting-state fMRI data and compared between 103 patients with schizophrenia and 110 healthy participants. Pattern classifications between patients and controls based on whole-brain rsEC and rsFC were further performed using multivariate pattern analysis. Results: We identified 17 rsEC significantly disrupted (mostly decreased) in patients, among which all were associated with the thalamus and 15 were from limbic areas (including hippocampus, parahippocampus and cingulate cortex) to the thalamus. In contrast, abnormal rsFC were widely distributed in the whole brain. The classification accuracies for distinguishing patients and controls using whole-brain rsEC and rsFC patterns were 78.6% and 82.7%, respectively, and was further improved to 84.5% when combining rsEC and rsFC. Conclusions: Schizophrenia is featured by disrupted 'limbic areas-to-thalamus' rsEC, in contrast with diffusively altered rsFC. Moreover, both rsEC and rsFC contain valuable and complementary information which may be used as diagnostic markers for schizophrenia.

KeywordFunctional MRI Functional connectivity Multivariate pattern analysis Granger causality Pattern classification
2020-04-20
Language英语
DOI10.1016/j.pnpbp.2019.109837
Source PublicationPROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
ISSN0278-5846
Volume99Pages:10
Indexed BySCI
Funding ProjectNational Key R&D Program of China[2017YFC0909201] ; National Key R&D Program of China[2018YFC1314300] ; National Natural Science Foundation of China[81571659] ; National Natural Science Foundation of China[81971694] ; National Natural Science Foundation of China[81971599] ; National Natural Science Foundation of China[81771818] ; Tianjin Key Technology RD Program[17ZXMFSY00090] ; Natural Science Foundation of Tianjin[19JCYBJC25100]
PublisherPERGAMON-ELSEVIER SCIENCE LTD
WOS KeywordFUNCTIONAL CONNECTIVITY ; GRANGER CAUSALITY ; DEFAULT MODE ; CLASSIFICATION ; ABNORMALITIES ; NETWORK ; MATTER ; MEMORY ; RISK
WOS Research AreaNeurosciences & Neurology ; Pharmacology & Pharmacy ; Psychiatry
WOS SubjectClinical Neurology ; Neurosciences ; Pharmacology & Pharmacy ; Psychiatry
WOS IDWOS:000518756400012
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/31377
Collection中国科学院行为科学重点实验室
Corresponding AuthorLiang, Meng
Affiliation1.Tianjin Med Univ, Sch Med Imaging, 1 Guangdong Rd, Tianjin 300203, Peoples R China
2.Tianjin Med Univ, Tianjin Key Lab Funct Imaging, Tianjin, Peoples R China
3.Chinese Acad Sci, CAS Key Lab Behav Sci, Inst Psychol, Beijing, Peoples R China
4.Chinese Acad Sci, Magnet Resonance Imaging Res Ctr, Inst Psychol, Beijing, Peoples R China
5.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
6.Tianjin Med Univ Gen Hosp, Dept Radiol, Tianjin, Peoples R China
7.Tianjin Med Univ Gen Hosp, Tianjin Key Lab Funct Imaging, Tianjin, Peoples R China
8.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Shanghai, Peoples R China
Recommended Citation
GB/T 7714
Hua, Minghui,Peng, Yanmin,Zhou, Yuan,et al. Disrupted pathways from limbic areas to thalamus in schizophrenia highlighted by whole-brain resting-state effective connectivity analysis[J]. PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY,2020,99:10.
APA Hua, Minghui,Peng, Yanmin,Zhou, Yuan,Qin, Wen,Yu, Chunshui,&Liang, Meng.(2020).Disrupted pathways from limbic areas to thalamus in schizophrenia highlighted by whole-brain resting-state effective connectivity analysis.PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY,99,10.
MLA Hua, Minghui,et al."Disrupted pathways from limbic areas to thalamus in schizophrenia highlighted by whole-brain resting-state effective connectivity analysis".PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY 99(2020):10.
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