Background: Determining the factors that predict antidepressant response and offering suitable treatments to people who suffer from major depressive disorder (MDD) is important. We investigated the personality factors that influence paroxetine treatment response by dividing antidepressant responders into two groups.
Methods: We treated 93 patients with MDD using 40 mg/day of paroxetine for six weeks. We used the Cloninger's Temperament and Character Inventory (TCI) to evaluate each participant's personality before the treatment. Of the 93 patients, 75 completed the protocol. The Montgomery Asberg Depression Rating Scale (MADRS) was used to evaluate depressive symptoms before the treatment and at one-, two-, four-, and six-week intervals. We divided the patients into four groups: later responders (LRs), early responders (ERs), nonresponders (NRs), and dropouts (DOs).
Results: Compared with 91 normal control participants, patients with MDD had less novelty seeking and self-directedness and greater harm avoidance. ERs showed less harm avoidance and more self-directedness than the other groups. LRs' TCI scores did not differ from the other groups.
Conclusions: These results suggest that ERs' personality characteristics are different from those of other patients with MDD and that evaluating patients' personality using the TCI at baseline may predict their antidepressant response.
Limitations: Our sample of patients with MDD was small. Some of the patients with severe MDD had difficulty completing the TCI.
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http://dx.doi.org/10.1016/j.jad.2011.06.050 | DOI Listing |
AJNR Am J Neuroradiol
January 2025
From the Department of Radiology (P.C.F., A.P.S., J.J.Y.).
Background And Purpose: There is surging interest in the therapeutic potential of psychedelic compounds like psilocybin in the treatment of psychiatric illnesses like major depressive disorder (MDD). Recent studies point to the rapid antidepressant effect of psilocybin; however, the biological mechanisms underlying these differences remain unknown. This study determines the feasibility of using diffusion MRI to characterize and define the potential spatiotemporal microstructural differences in the brain following psilocybin treatment in C57BL/6J male mice.
View Article and Find Full Text PDFBehav Brain Res
January 2025
Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei, PR China; Department of Psychiatry and Institute of Neuropsychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei, PR China; Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430071, China. Electronic address:
Background: The global burden of major depressive disorder (MDD) is rising, with current diagnostic methods hindered by significant subjectivity and low inter-rater reliability. Several studies have implied underlying link between coagulation-related proteins, such as kininogen (KNG) and coagulation factor VIII (FVIII), and depressive symptoms, offering new insights into the exploration of depression biomarkers. This study aims to elucidate the roles of KNG and FVIII in depression, potentially providing a foundational basis for biomarker research in this field.
View Article and Find Full Text PDFAppl Neuropsychol Adult
January 2025
Faculty Xavier Institute of Engineering, Mahim, India.
In the fields of engineering, science, technology, and medicine, artificial intelligence (AI) has made significant advancements. In particular, the application of AI techniques in medicine, such as machine learning (ML) and deep learning (DL), is rapidly growing and offers great potential for aiding physicians in the early diagnosis of illnesses. Depression, one of the most prevalent and debilitating mental illnesses, is projected to become the leading cause of disability worldwide by 2040.
View Article and Find Full Text PDFBrain Behav Immun Health
February 2025
Department of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases-IRCAD, University of Eastern Piedmont, 28100, Novara, Italy.
Major Depressive Disorder (MDD) is a widespread psychiatric condition impacting social and occupational functioning, making it a leading cause of disability. The diagnosis of MDD remains clinical, based on the Diagnostic and Statistical Manual of Mental Disorders (DSM)-5 criteria, as biomarkers have not yet been validated for diagnostic purposes or as predictors of treatment response. Traditional treatment strategies often follow a one-size-fits-all approach obtaining suboptimal outcomes for many patients who fail to experience response or recovery.
View Article and Find Full Text PDFNiger Med J
January 2025
Department of Physiology, RUHS College of Medical Sciences, India.
Background: Previous research has shown that Major Depressive Disorder (MDD) is accompanied by severe impairments in cognitive and autonomic processes, which may linger even when mood symptoms recover. This study aimed to analyse the relationship between depression severity, as measured by the Hamilton Depression Rating Scale (HAM-D), and how it affects heart rate variability (HRV) and cognitive function in patients with Major Depressive Disorder (MDD).
Methodology: The cross-sectional study was conducted at RUHS College of Medical Sciences and Associated Hospitals, Jaipur, from July 2022 to January 2023 on 90 subjects having major depressive disorder (MDD) of either sex in the 20-40 age group using the Hamilton score for depression (HAM D), Heart Rate Variability (HRV) measurements, and a battery of cognitive tests.
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