Identification of common neural substrates with connectomic abnormalities in four major psychiatric disorders: A connectome-wide association study. Issue 1 (3rd December 2020)
- Record Type:
- Journal Article
- Title:
- Identification of common neural substrates with connectomic abnormalities in four major psychiatric disorders: A connectome-wide association study. Issue 1 (3rd December 2020)
- Main Title:
- Identification of common neural substrates with connectomic abnormalities in four major psychiatric disorders: A connectome-wide association study
- Authors:
- Tu, Pei-Chi
Chen, Mu-Hong
Chang, Wan-Chen
Kao, Zih-Kai
Hsu, Ju-Wei
Lin, Wei-Chen
Li, Cheng-Ta
Su, Tung-Ping
Bai, Ya-Mei - Abstract:
- Abstract: Background: Recent imaging studies of large datasets suggested that psychiatric disorders have common biological substrates. This study aimed to identify all the common neural substrates with connectomic abnormalities across four major psychiatric disorders by using the data-driven connectome-wide association method of multivariate distance matrix regression (MDMR). Methods: This study analyzed a resting functional magnetic resonance imaging dataset of 100 patients with schizophrenia, 100 patients with bipolar I disorder, 100 patients with bipolar II disorder, 100 patients with major depressive disorder, and 100 healthy controls (HCs). We calculated a voxel-wise 4, 330 × 4, 330 matrix of whole-brain functional connectivity (FC) with 8-mm isotropic resolution for each participant and then performed MDMR to identify structures where the overall multivariate pattern of FC was significantly different between each patient group and the HC group. A conjunction analysis was performed to identify common neural regions with FC abnormalities across these four psychiatric disorders. Results: The conjunction of the MDMR maps revealed that the four groups of patients shared connectomic abnormalities in distributed cortical and subcortical structures, which included bilateral thalamus, cerebellum, frontal pole, supramarginal gyrus, postcentral gyrus, lingual gyrus, lateral occipital cortex, and parahippocampus. The follow-up analysis based on pair-wise FC of these regionsAbstract: Background: Recent imaging studies of large datasets suggested that psychiatric disorders have common biological substrates. This study aimed to identify all the common neural substrates with connectomic abnormalities across four major psychiatric disorders by using the data-driven connectome-wide association method of multivariate distance matrix regression (MDMR). Methods: This study analyzed a resting functional magnetic resonance imaging dataset of 100 patients with schizophrenia, 100 patients with bipolar I disorder, 100 patients with bipolar II disorder, 100 patients with major depressive disorder, and 100 healthy controls (HCs). We calculated a voxel-wise 4, 330 × 4, 330 matrix of whole-brain functional connectivity (FC) with 8-mm isotropic resolution for each participant and then performed MDMR to identify structures where the overall multivariate pattern of FC was significantly different between each patient group and the HC group. A conjunction analysis was performed to identify common neural regions with FC abnormalities across these four psychiatric disorders. Results: The conjunction of the MDMR maps revealed that the four groups of patients shared connectomic abnormalities in distributed cortical and subcortical structures, which included bilateral thalamus, cerebellum, frontal pole, supramarginal gyrus, postcentral gyrus, lingual gyrus, lateral occipital cortex, and parahippocampus. The follow-up analysis based on pair-wise FC of these regions demonstrated that these psychiatric disorders also shared similar patterns of FC abnormalities characterized by sensory/subcortical hyperconnectivity, association/subcortical hypoconnectivity, and sensory/association hyperconnectivity. Conclusions: These findings suggest that major psychiatric disorders share common connectomic abnormalities in distributed cortical and subcortical regions and provide crucial support for the common network hypothesis of major psychiatric disorders. … (more)
- Is Part Of:
- European psychiatry. Volume 64:Issue 1(2021)
- Journal:
- European psychiatry
- Issue:
- Volume 64:Issue 1(2021)
- Issue Display:
- Volume 64, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 64
- Issue:
- 1
- Issue Sort Value:
- 2021-0064-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-12-03
- Subjects:
- Bipolar disorder, -- connectome, -- major depressive disorder, -- multivariate distance matrix regression, -- schizophrenia
Psychiatry -- Periodicals
Mental illness -- Periodicals
Electronic journals
616.89 - Journal URLs:
- https://www.cambridge.org/core/journals/european-psychiatry ↗
http://www.clinicalkey.com/dura/browse/journalIssue/09249338 ↗
http://www.sciencedirect.com/science/journal/09249338 ↗
http://www.elsevier.com/homepage/elecserv.htt ↗ - DOI:
- 10.1192/j.eurpsy.2020.106 ↗
- Languages:
- English
- ISSNs:
- 0924-9338
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3829.842700
British Library HMNTS - ELD Digital store - Ingest File:
- 23108.xml