Back to Search
Start Over
Whole-brain structural covariance network abnormality in first-episode and drug-naïve major depressive disorder
- Source :
- Psychiatry Research: Neuroimaging. 300:111083
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- There has been a growing interest in the abnormality of networks across the brain in major depressive disorder (MDD). We aimed to investigate the structural covariance networks in patients with first-episode and drug-naïve MDD using structural imaging. A total of 77 patients with first-episode and drug-naïve MDD and 79 healthy subjects (HS) were recruited, from whom high-resolution T1-weighted images were analysed. Incident component analysis was used to calculate the brain networks based on grey matter volume covariance. There were significant differences in salience network, medial temporal lobe network, default mode network and central executive network between MDD and HS (p 0.05). Further, the disturbance of medial temporal lobe network was significantly correlated with the severity of depressive symptoms (p 0.05). In conclusion, we found a novel abnormality in the brain network in the medial temporal lobe primarily involving the hippocampus and parahippocampal gyrus in patients with first-episode and treatment-naïve MDD.
- Subjects :
- Adult
Male
medicine.medical_specialty
Neuroscience (miscellaneous)
Audiology
Grey matter
Hippocampus
Brain mapping
Temporal lobe
03 medical and health sciences
0302 clinical medicine
mental disorders
medicine
Humans
Radiology, Nuclear Medicine and imaging
Gray Matter
Default mode network
First episode
Brain Mapping
Depressive Disorder, Major
business.industry
Brain
medicine.disease
Magnetic Resonance Imaging
Temporal Lobe
030227 psychiatry
Psychiatry and Mental health
Drug-naïve
medicine.anatomical_structure
Case-Control Studies
Major depressive disorder
Female
Nerve Net
Abnormality
business
030217 neurology & neurosurgery
medicine.drug
Subjects
Details
- ISSN :
- 09254927
- Volume :
- 300
- Database :
- OpenAIRE
- Journal :
- Psychiatry Research: Neuroimaging
- Accession number :
- edsair.doi.dedup.....a4bf422fd3392a386cd14a3bf55d90a6
- Full Text :
- https://doi.org/10.1016/j.pscychresns.2020.111083