Objective: The striatum, including the putamen and caudate, plays an important role in executive and emotional processing and may be involved in the pathophysiology of mood disorders. Few studies have examined structural abnormalities of the striatum in pediatric major depressive disorder (MDD) patients. We report striatal volume abnormalities in medication-naïve pediatric MDD compared to healthy comparison subjects.
Method: Twenty seven medication-naïve pediatric Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV) MDD and 26 healthy comparison subjects underwent volumetric magnetic resonance imaging (MRI). The putamen and caudate volumes were traced manually by a blinded rater, and the patient and control groups were compared using analysis of covariance adjusting for age, sex, intelligence quotient, and total brain volumes.
Results: MDD patients had significantly smaller right striatum (6.0% smaller) and right caudate volumes (7.4% smaller) compared to the healthy subjects. Left caudate volumes were inversely correlated with severity of depression in MDD subjects. Age was inversely correlated with left and right putamen volumes in MDD patients but not in the healthy subjects.
Conclusions: These findings provide fresh evidence for abnormalities in the striatum of medication-naïve pediatric MDD patients and suggest the possible involvement of the striatum in the pathophysiology of MDD.
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http://dx.doi.org/10.1089/cap.2007.0026 | DOI Listing |
J Affect Disord
December 2024
Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada. Electronic address:
Background: Abnormalities in effort-based decision-making have been consistently reported in major depressive disorder (MDD). Evidence indicates that metabolic factors, such as insulin resistance and dyslipidemia, which are highly prevalent in MDD, are independently associated with reward disturbances. Herein, we investigate the moderating effect of metabolic factors on effort-based decision-making in individuals with MDD.
View Article and Find Full Text PDFBMC Psychiatry
December 2024
Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou, 510630, China.
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.
Sci Rep
December 2024
Laboratory of Brain Imaging, Nencki Institute of Experimental Biology, Pasteura 3, Warsaw, 02-093, Poland.
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 PDFSci Rep
December 2024
Department of Neurosurgery, Baylor College of Medicine, Houston, USA.
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 PDFNeuroscience
December 2024
School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, 100048, China.
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.
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