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It is unclear to what degree depersonalization disorder (DPD) and alexithymia share abnormal brain mechanisms of emotional dysregulation. We compared cerebral processing of facial expressions of emotion in individuals with DPD to normal controls (NC). We presented happy and sad emotion expressions in increasing intensities from neutral (0%) through mild (50%) to intense (100%) to DPD and non-referred NC subjects in an implicit event-related fMRI design, and correlated respective brain activations with responses on the 20-item Toronto Alexithymia Scale (TAS-20) and its three subscales F1-F3. The TAS-20 predicts clinical diagnosis of DPD with a unique variance proportion of 38%. Differential regression analysis was utilized to ascertain brain regions for each alexithymia subscale. Differential regions of total alexithymia severity for happy emotion were the globus pallidus externus; for identifying feelings (TAS-20 F1 subscale), the right anterior insula; for description of feelings (F2), the right dorsal mid-anterior cingulate gyrus (BA 24); and for externally oriented cognitive style (F3), the left paracingulate gyrus (BA 32). For sad emotion, the differential region for the total TAS-20 score was the dorsal anterior cingulate gyrus (BA 24); for TAS-20 F1, the left inferior anterior insula; for TAS-20 F2, the right PCC (BA 31); and for TAS-20 F3, the right orbital gyrus (BA 10). Supporting our hypotheses, the ascertained brain regions for TAS-20 subscales subserve interoception, monitoring and reflection of internal states and emotion. The presented analyses provide evidence that alexithymia plays a substantial role in emotional dysregulation in DPD, presumably based on restrictions in interoception.
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http://dx.doi.org/10.1016/j.pscychresns.2013.05.006 | DOI Listing |
J Med Internet Res
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Department of Medicine, David Geffen School of Medicine, University of California, 11301 Wilshire Blvd, Los Angeles, CA, 90073, United States, 1 3104783711 ext. 44860.
Background: Telehealth use, including video visits and secure messages, expanded significantly in Veterans Health Administration (VHA) primary care during the COVID-19 pandemic. However, primary care provider (PCP) burnout also increased during this period. Each modality may have affected primary care workloads differently (either by substituting for or complementing in-person visits) and thereby had varying effects on PCP burnout.
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September 2025
China Institute of Rural Education Development, Northeast Normal University, Changchun, China.
Introduction: Teacher burnout poses a significant threat to the sustainability of rural education. However, the effect of out-of-field teaching as a job demand remains understudied. This study applies the Job Demands-Resources (JD-R) model to explore how job demands, job resources, and personal resources interact with burnout among rural teachers.
View Article and Find Full Text PDFPaediatr Anaesth
September 2025
Department of Anesthesiology and Perioperative Medicine, UPMC Children's Hospital of Pittsburgh/University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Background: High-profile cases of sexual harassment (SH) have drawn attention to SH in the workplace via the #MeToo movement. Many studies demonstrate SH occurring in medical training and practice. Experiencing SH correlates with long-term personal and professional detrimental effects.
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September 2025
Department of Emergency Medicine and West China School of Nursing, West China Hospital, Sichuan University, Chengdu, China.
Background: Somatic symptom disorder is influenced by various factors, with increasing evidence highlighting its close association with burnout. This study aimed to investigate the correlation between somatization symptoms and burnout levels among emergency nurses, focusing on the impact of burnout on somatization.
Methods: A cross-sectional study was conducted involving 1,540 emergency nurses working in tertiary hospitals in China.
J Headache Pain
September 2025
Department of Neurology, Clínica Universidad de Navarra, Pamplona, Spain.
Background: Headache disorders, particularly migraine, are highly prevalent, but often remain underdiagnosed and undertreated. Artificial intelligence (AI) offers promising applications in diagnosis, prediction of attacks, analysis of neuroimaging and neurophysiology data, and treatment selection. Its use in headache medicine raises ethical, regulatory, and clinical questions, including its impact on the doctor-patient relationship.
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