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- Publisher Website: 10.1016/j.pnpbp.2009.08.020
- Scopus: eid_2-s2.0-71549162060
- PMID: 19744536
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Article: White matter reduction in patients with schizophrenia as revealed by voxel-based morphometry: An activation likelihood estimation meta-analysis
| Title | White matter reduction in patients with schizophrenia as revealed by voxel-based morphometry: An activation likelihood estimation meta-analysis |
|---|---|
| Authors | |
| Keywords | Activation likelihood estimation Meta-analysis Schizophrenia Voxel-based morphology White matter |
| Issue Date | 2009 |
| Citation | Progress in Neuro Psychopharmacology and Biological Psychiatry, 2009, v. 33, n. 8, p. 1390-1394 How to Cite? |
| Abstract | Schizophrenia is thought to be a mental disorder caused by the disconnection of brain regions. Cumulative evidence of white matter deficit in patients with schizophrenia has been reported using voxel-based morphometry (VBM), but these studies have not been quantitatively reviewed. In the study reported herein, we used activation likelihood estimation (ALE) analysis to quantitatively estimate focal white matter abnormalities in patients with schizophrenia. Seventeen studies that compared the white matter deficit of patients with schizophrenia and healthy controls were ascertained. The frontal white matter regions and internal capsule revealed consistent white matter reduction in patient groups relative to healthy controls, suggesting a clear focal white matter deficit in patients with schizophrenia. These results support the macro-circuit theory of white matter change in schizophrenia. © 2009 Elsevier Inc. All rights reserved. |
| Persistent Identifier | http://hdl.handle.net/10722/367900 |
| ISSN | 2023 Impact Factor: 5.3 2023 SCImago Journal Rankings: 1.652 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Di, Xin | - |
| dc.contributor.author | Chan, Raymond C.K. | - |
| dc.contributor.author | Gong, Qi yong | - |
| dc.date.accessioned | 2025-12-19T08:00:14Z | - |
| dc.date.available | 2025-12-19T08:00:14Z | - |
| dc.date.issued | 2009 | - |
| dc.identifier.citation | Progress in Neuro Psychopharmacology and Biological Psychiatry, 2009, v. 33, n. 8, p. 1390-1394 | - |
| dc.identifier.issn | 0278-5846 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/367900 | - |
| dc.description.abstract | Schizophrenia is thought to be a mental disorder caused by the disconnection of brain regions. Cumulative evidence of white matter deficit in patients with schizophrenia has been reported using voxel-based morphometry (VBM), but these studies have not been quantitatively reviewed. In the study reported herein, we used activation likelihood estimation (ALE) analysis to quantitatively estimate focal white matter abnormalities in patients with schizophrenia. Seventeen studies that compared the white matter deficit of patients with schizophrenia and healthy controls were ascertained. The frontal white matter regions and internal capsule revealed consistent white matter reduction in patient groups relative to healthy controls, suggesting a clear focal white matter deficit in patients with schizophrenia. These results support the macro-circuit theory of white matter change in schizophrenia. © 2009 Elsevier Inc. All rights reserved. | - |
| dc.language | eng | - |
| dc.relation.ispartof | Progress in Neuro Psychopharmacology and Biological Psychiatry | - |
| dc.subject | Activation likelihood estimation | - |
| dc.subject | Meta-analysis | - |
| dc.subject | Schizophrenia | - |
| dc.subject | Voxel-based morphology | - |
| dc.subject | White matter | - |
| dc.title | White matter reduction in patients with schizophrenia as revealed by voxel-based morphometry: An activation likelihood estimation meta-analysis | - |
| dc.type | Article | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1016/j.pnpbp.2009.08.020 | - |
| dc.identifier.pmid | 19744536 | - |
| dc.identifier.scopus | eid_2-s2.0-71549162060 | - |
| dc.identifier.volume | 33 | - |
| dc.identifier.issue | 8 | - |
| dc.identifier.spage | 1390 | - |
| dc.identifier.epage | 1394 | - |
