Cerebral metabolism in major depressive disorder: a voxel-based meta-analysis of positron emission tomography studiesReport as inadecuate




Cerebral metabolism in major depressive disorder: a voxel-based meta-analysis of positron emission tomography studies - Download this document for free, or read online. Document in PDF available to download.

BMC Psychiatry

, 14:321

Mood disorders

Abstract

BackgroundMajor depressive disorder MDD is a common mental illness with high lifetime prevalence close to 20%. Positron emission tomography PET studies have reported decreased prefrontal, insular and limbic cerebral glucose metabolism in depressed patients compared with healthy controls. However, the literature has not always been consistent. To evaluate current evidence from PET studies, we conducted a voxel-based meta-analysis of cerebral metabolism in MDD.

MethodData were collected from databases including PubMed and Web of Science, with the last report up to April 2013. Voxel-based meta-analyses were performed using the revised activation likelihood estimation ALE software.

ResultsTen whole-brain-based FDG-PET studies in MDD were included in the meta-analysis, comprising 188 MDD patients and 169 healthy controls. ALE analyses showed the brain metabolism in bilateral insula, left lentiform nucleus putamen and extra-nuclear, right caudate and cingulate gyrus were significantly decreased. However, the brain activity in right thalamus pulvinar and declive of posterior lobe, left culmen of vermis in anterior lobe were significantly increased in MDD patients.

ConclusionOur meta-analysis demonstrates the specific brain regions where possible dysfunctions are more consistently reported in MDD patients. Altered metabolism in insula, limbic system, basal ganglia, thalamus, and cerebellum and thus these regions are likely to play a key role in the pathophysiology of depression.

KeywordsMajor depressive disorder Positron emission tomography Meta-analysis Activation likelihood estimation Electronic supplementary materialThe online version of this article doi:10.1186-s12888-014-0321-9 contains supplementary material, which is available to authorized users.

Download fulltext PDF



Author: Liang Su - Yiyun Cai - Yifeng Xu - Anirban Dutt - Shenxun Shi - Elvira Bramon

Source: https://link.springer.com/







Related documents