Background: Although some core personality variables are known to be characteristic of unipolar or bipolar depression, few studies have compared the personality profile between these two disorders.
Methods: Temperament and Character Inventory (TCI) was employed to assess the personality of 36 depressed patients with bipolar II disorder (BPII), 90 patients with unipolar major depressive disorder (UP), and 306 healthy controls. The TCI was administered during the depressive episode in BPII and UP patients so that the results can be applied in a clinical setting.
Results: Significantly higher scores in harm avoidance (p<0.0001) and lower scores in self-directedness (p<0.0001) and cooperativeness (p<0.05) were observed in both BPII and UP patients compared to controls. Lower novelty seeking in UP patients compared to BPII patients and controls was observed in females (p<0.0001, p<0.01, respectively). A significant difference in self-transcendence score was observed between BPII and UP patients in females (p<0.0005), with higher scores in BPII (p=0.009) and lower scores in UP (p=0.046) patients compared to controls. A logistic regression model predicted BPII in depressed females based on novelty seeking and self-transcendence scores with a sensitivity of 89% and a specificity of 73%, but did not accurately predict BPII in males.
Limitations: Patients in our study were limited to those receiving outpatient treatments, and bipolar patients were limited to those with BPII.
Conclusions: Novelty seeking and self-transcendence scores of TCI might be useful in the differentiation of UP and BPII in female patients.
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http://dx.doi.org/10.1016/j.jad.2011.03.009 | DOI Listing |
AIMS Neurosci
December 2024
Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.
Personality can be considered a system characterized by complex dynamics that are extremely adaptive depending on continuous interactions with the environment and situations. The present preliminary study explores the dynamic interplay between brain flexibility and personality by taking the dynamic approach to personality into account, thereby drawing from Cloninger's psychobiological model. 46 healthy individuals were recruited, and their brain dynamics were assessed using magnetoencephalography (MEG) during the resting state.
View Article and Find Full Text PDFAddiction
January 2025
Department of Psychiatry, University of Vermont, Burlington, Vermont, USA.
Background And Aim: Cannabis use disorder (CUD) is strongly influenced by genetic factors; however the mechanisms underpinning this association are not well understood. This study investigated whether a polygenic risk score (PRS) based on a genome-wide association study for CUD in adults predicts cannabis use in adolescents and whether the association can be explained by inter-individual variation in structural properties of brain white matter or risk-taking behaviors.
Design And Setting: Longitudinal and cross-sectional analyses using data from the IMAGEN cohort, a European longitudinal study integrating genetic, neuroimaging and behavioral measures.
Objective: This study aims to asess alexithymia, anger and its expression, sensitivity to bodily sensations, personality, and their relationship with the severity of the disease in patients with Restless Legs Syndrome.
Method: The study included 63 patients diagnosed with Restless Legs Syndrome and 63 age, gender and education matched controls. All participants were given, Toronto Alexithymia Scale, Somatosensory Amplification Scale, The State Trait Anger Scale and Temperament and Character Inventory.
Front Psychiatry
December 2024
Palestinian Neuroscience Initiative, Al-Quds University, Jerusalem, Palestine.
Decades of research on personality identified dissociable psychological temperaments. Cloninger's temperament and character theory used a psychobiological approach to differentiate three major dimensions of personality: harm avoidance, novelty seeking, and reward dependence. Previous studies, heretofore, did not examine the correspondence between Cloninger's psychological temperaments and statistically independent data-driven components and how that could enhance the clinical utility of personality temperaments.
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