Purpose: Electroconvulsive therapy (ECT), has become a widely applied potent treatment in clinical practice for major depressive disorder (MDD) over decades. However, due to its nonspecific and spatially unfocused nature, the underlying mechanisms of ECT remain unclear.
Methods: In this longitudinal study, 11 patients with MDD underwent magnetic resonance imaging (MRI) before and after ECT at three different time points. A longitudinal voxel-based morphology approach was performed to characterize dynamic changes in brain gray matter volume (GMV). Twelve age- and sex-matched healthy controls were recruited to identify structural brain changes of patients with MDD before and after ECT.
Results: The brain GMV was globally found to increase shortly after a series of ECT, and then decrease 1 month after ECT treatment exposure. This fluctuating tendency was localized to the bilateral inferior parietal lobes, bilateral insula, and right superior temporal cortex. After the global GMV was corrected, there were only significant global effect increases in GMV in the left anterior hippocampus and right caudate, which were both significantly correlated with the improvement of depression symptoms. However, 1 month after ECT treatments, there was still significantly reduced GMV following patients with MDD compared to healthy controls in the left putamen, right anterior cingulate, and left inferior temporal cortex, which was observed before ECT.
Conclusions: These findings indicate that ECT in patients with MDD is closely associated with dissociative structural changes. The locally enhanced GMV in limbic areas may reflect that the ECT-related brain compensatory mechanisms contribute to brain structure recovery in MDD.
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http://dx.doi.org/10.1007/s00234-019-02276-z | DOI Listing |
Neuroradiology
January 2025
Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Introduction: Bipolar disorder (BD) and major depressive disorder (MDD) have overlapping clinical presentations which may make it difficult for clinicians to distinguish them potentially resulting in misdiagnosis. This study combined structural MRI and machine learning techniques to determine whether regional morphological differences could distinguish patients with BD and MDD.
Methods: A total of 123 participants, including BD (n = 31), MDD (n = 48), and healthy controls (HC, n = 44), underwent high-resolution 3D T1-weighted imaging.
BMC Psychiatry
January 2025
Department of Neurology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China.
Background: The neurasthenia-depression controversy has lasted for several decades. It is challenging to solve the argument by symptoms alone for syndrome-based disease classification. Our aim was to identify objective electroencephalography (EEG) measures that can differentiate neurasthenia from major depressive disorder (MDD).
View Article and Find Full Text PDFPLoS One
January 2025
Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Background: Post-traumatic Stress Disorder (PTSD), Major Depressive Disorder (MDD), and Adjustment Disorder (AdjD) are highly prevalent among military personnel, often presenting diagnostic challenges due to overlapping symptoms and reliance on self-reporting. The amygdala, particularly the basolateral complex involved in fear-related memory formation and extinction recall, plays a crucial role in emotional processing. Abnormalities in these amygdala nuclei are implicated in PTSD and may distinguish it from other disorders like MDD and AdjD, where these mechanisms are less central.
View Article and Find Full Text PDFClin Psychopharmacol Neurosci
February 2025
Private Practice, Denizli, Türkiye.
Objective: Psychosocial and genetic factors are considered to play roles in the etiological mechanisms of major depressive disorder (MDD). The involvement of miRNAs in the etiopathogenesis of depression and childhood traumas is still unclear. This study aims to reveal potential differences in miRNA levels between patients with depression and healthy individuals and assess their connection to childhood traumas.
View Article and Find Full Text PDFBMJ Ment Health
January 2025
Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands.
Background: Traumatic brain injury (TBI) is associated with an increased risk of major depressive disorder (MDD) and post-traumatic stress disorder (PTSD). We aimed to identify predictors and develop models for the prediction of depression and PTSD symptoms at 6 months post-TBI.
Methods: We analysed data from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury study.
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