AI Article Synopsis

  • Few studies have focused on the dorsolateral prefrontal cortex (DLPFC) in major depressive disorder (MDD) using proton magnetic resonance spectroscopy ((1)H spectroscopy).
  • Researchers compared 37 unmedicated MDD patients with 40 healthy controls (HC) to analyze metabolite levels in the DLPFC.
  • The results showed no significant differences in metabolite levels between MDD patients and HC, but suggested gender differences in PCr+Cr levels and a correlation between illness duration and NAA levels.

Article Abstract

Few proton magnetic resonance spectroscopy ((1)H spectroscopy) studies have investigated the dorsolateral prefrontal cortex (DLPFC), a key region in the pathophysiology of major depressive disorder (MDD). We used (1)H spectroscopy to verify whether MDD patients differ from healthy controls (HC) in metabolite levels in this brain area. Thirty-seven unmedicated DSM-IV MDD patients were compared with 40 HC. Subjects underwent a short echo-time (1)H spectroscopy examination at 1.5 T, with an 8-cm(3) single voxel placed in the left DLPFC. Reliable absolute metabolite levels of N-acetyl aspartate (NAA), phosphocreatine plus creatine (PCr+Cr), choline-containing compounds (GPC+PC), myo-inositol, glutamate plus glutamine (Glu+Gln), and glutamate were obtained using the unsuppressed water signal as an internal reference. Metabolite levels in the left DLPFC did not statistically differ between MDD patients and HC. We found an interaction between gender and diagnosis on PCr+Cr levels. Male MDD patients presented lower levels of PCr+Cr than male HC, and female MDD patients presented higher levels of PCr+Cr than female HC. Moreover, length of illness was inversely correlated with NAA levels. These findings suggest that there is not an effect of diagnosis on the left DLPFC neurochemistry. Possible effects of gender on PCr+Cr levels of MDD patients need to be further investigated.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.pscychresns.2009.05.003DOI Listing

Publication Analysis

Top Keywords

mdd patients
24
metabolite levels
16
left dlpfc
12
levels
9
levels left
8
dorsolateral prefrontal
8
prefrontal cortex
8
major depressive
8
depressive disorder
8
single voxel
8

Similar Publications

Background: The clinical characteristics of major depressive disorder (MDD) in adolescents show notable gender-related differences, but the cause of these differences is still not understood. The current research concentrates on the changes in neurometabolism and neuroendocrine function, aiming to identify differences in endocrine function and brain metabolism between male and female adolescents with MDD.

Methods: A total of 121 teenagers diagnosed with MDD (43 males and 78 females) were enlisted as participants.

View Article and Find Full Text PDF

Patients with major depressive disorder (MDD) and borderline personality disorder (BPD) are reported to have disrupted autobiographical memory (AM). Using functional magnetic resonance imaging we investigated behavioral and neural processing of the recall of emotional (sad and happy) memories in 30 MDD, 18 BPD, and 34 healthy control (HC) unmedicated women. The behavioral results showed that the MDD group experienced more sadness than the HC after the sad recall, while BPD participants experienced less happiness than HC after the happy recall.

View Article and Find Full Text PDF

Alteration of responses to salient stimuli occurs in a wide range of brain disorders and may be rooted in pathophysiological brain state dynamics. Specifically, tonic and phasic modes of activity in the reticular activating system (RAS) influence, and are influenced by, salient stimuli, respectively. The RAS influences the spectral characteristics of activity in the neocortex, shifting the balance between low- and high-frequency fluctuations.

View Article and Find Full Text PDF

The diagnosis and analysis of major depressive disorder (MDD) faces some intractable challenges such as dataset limitations and clinical variability. Resting-state functional magnetic resonance imaging (Rs-fMRI) can reflect the fluctuation data of brain activity in a resting state, which can find the interrelationships, functional connections, and network characteristics among brain regions of the patients. In this paper, a brain functional connectivity matrix is constructed using Pearson correlation based on the characteristics of multi-site Rs-fMRI data and brain atlas, and an adaptive propagation operator graph convolutional network (APO-GCN) model is designed.

View Article and Find Full Text PDF

Schizophrenia (SCZ), bipolar (BD) and major depression disorder (MDD) are severe psychiatric disorders that are challenging to treat, often leading to treatment resistance (TR). It is crucial to develop effective methods to identify and treat patients at risk of TR at an early stage in a personalized manner, considering their biological basis, their clinical and psychosocial characteristics. Effective translation of theoretical knowledge into clinical practice is essential for achieving this goal.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!