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- Publisher Website: 10.1017/S0033291720002445
- Scopus: eid_2-s2.0-85088496665
- PMID: 32677599
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Article: Altered brain structural and functional connectivity in schizotypy
| Title | Altered brain structural and functional connectivity in schizotypy |
|---|---|
| Authors | |
| Keywords | Connectivity decompensation hypothesis dynamic functional connectivity schizotypy static functional connectivity structural connectivity probability |
| Issue Date | 2022 |
| Citation | Psychological Medicine, 2022, v. 52, n. 5, p. 834-843 How to Cite? |
| Abstract | Background Schizotypy refers to schizophrenia-like traits below the clinical threshold in the general population. The pathological development of schizophrenia has been postulated to evolve from the initial coexistence of 'brain disconnection' and 'brain connectivity compensation' to 'brain connectivity decompensation'. Methods In this study, we examined the brain connectivity changes associated with schizotypy by combining brain white matter structural connectivity, static and dynamic functional connectivity analysis of diffusion tensor imaging data and resting-state functional magnetic resonance imaging data. A total of 87 participants with a high level of schizotypal traits and 122 control participants completed the experiment. Group differences in whole-brain white matter structural connectivity probability, static mean functional connectivity strength, dynamic functional connectivity variability and stability among 264 brain sub-regions of interests were investigated. Results We found that individuals with high schizotypy exhibited increased structural connectivity probability within the task control network and within the default mode network; increased variability and decreased stability of functional connectivity within the default mode network and between the auditory network and the subcortical network; and decreased static mean functional connectivity strength mainly associated with the sensorimotor network, the default mode network and the task control network. Conclusions These findings highlight the specific changes in brain connectivity associated with schizotypy and indicate that both decompensatory and compensatory changes in structural connectivity within the default mode network and the task control network in the context of whole-brain functional disconnection may be an important neurobiological correlate in individuals with high schizotypy. |
| Persistent Identifier | http://hdl.handle.net/10722/367832 |
| ISSN | 2023 Impact Factor: 5.9 2023 SCImago Journal Rankings: 2.768 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Wang, Yong Ming | - |
| dc.contributor.author | Cai, Xin Lu | - |
| dc.contributor.author | Zhang, Rui Ting | - |
| dc.contributor.author | Zhang, Yi Jing | - |
| dc.contributor.author | Zhou, Han Yu | - |
| dc.contributor.author | Wang, Yi | - |
| dc.contributor.author | Wang, Ya | - |
| dc.contributor.author | Huang, Jia | - |
| dc.contributor.author | Wang, Yan Yu | - |
| dc.contributor.author | Cheung, Eric F.C. | - |
| dc.contributor.author | Chan, Raymond C.K. | - |
| dc.date.accessioned | 2025-12-19T07:59:46Z | - |
| dc.date.available | 2025-12-19T07:59:46Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.citation | Psychological Medicine, 2022, v. 52, n. 5, p. 834-843 | - |
| dc.identifier.issn | 0033-2917 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/367832 | - |
| dc.description.abstract | Background Schizotypy refers to schizophrenia-like traits below the clinical threshold in the general population. The pathological development of schizophrenia has been postulated to evolve from the initial coexistence of 'brain disconnection' and 'brain connectivity compensation' to 'brain connectivity decompensation'. Methods In this study, we examined the brain connectivity changes associated with schizotypy by combining brain white matter structural connectivity, static and dynamic functional connectivity analysis of diffusion tensor imaging data and resting-state functional magnetic resonance imaging data. A total of 87 participants with a high level of schizotypal traits and 122 control participants completed the experiment. Group differences in whole-brain white matter structural connectivity probability, static mean functional connectivity strength, dynamic functional connectivity variability and stability among 264 brain sub-regions of interests were investigated. Results We found that individuals with high schizotypy exhibited increased structural connectivity probability within the task control network and within the default mode network; increased variability and decreased stability of functional connectivity within the default mode network and between the auditory network and the subcortical network; and decreased static mean functional connectivity strength mainly associated with the sensorimotor network, the default mode network and the task control network. Conclusions These findings highlight the specific changes in brain connectivity associated with schizotypy and indicate that both decompensatory and compensatory changes in structural connectivity within the default mode network and the task control network in the context of whole-brain functional disconnection may be an important neurobiological correlate in individuals with high schizotypy. | - |
| dc.language | eng | - |
| dc.relation.ispartof | Psychological Medicine | - |
| dc.subject | Connectivity decompensation hypothesis | - |
| dc.subject | dynamic functional connectivity | - |
| dc.subject | schizotypy | - |
| dc.subject | static functional connectivity | - |
| dc.subject | structural connectivity probability | - |
| dc.title | Altered brain structural and functional connectivity in schizotypy | - |
| dc.type | Article | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1017/S0033291720002445 | - |
| dc.identifier.pmid | 32677599 | - |
| dc.identifier.scopus | eid_2-s2.0-85088496665 | - |
| dc.identifier.volume | 52 | - |
| dc.identifier.issue | 5 | - |
| dc.identifier.spage | 834 | - |
| dc.identifier.epage | 843 | - |
| dc.identifier.eissn | 1469-8978 | - |
