Because of our classification system limitations for defining psychiatric disorders and understanding their physiopathology, a new research area based on dimensions has emerged. It consists of exploring domains derived from fundamental behavioral components linked to neurobiological systems. Emotional processing is among the most affected dimensions in bipolar disorders (BD), but is excluded from the definition criteria. The purpose of this review is to synthesize the emotional responses disruption during the different phases of BD, using intensity and valence as the two key characteristics of emotions. We integrate those emotional disruptions into an original, emotion-based model contrasting with the current diagnostic frame built on mood. Emotional processing is underpinned by cortico-limbic circuits involving the amygdala. Recent publications showed the crucial role of the amygdala in emotional processes triggered by stimuli of negative, but also positive valence. We show how these neuroscience data can provide physiological basis for emotional disturbances observed in BD. We conclude with translational perspectives to improve the current knowledge about neural substrates underlying altered emotional responses characterizing BD.
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http://dx.doi.org/10.1016/j.neubiorev.2020.07.037 | DOI Listing |
Child Psychiatry Hum Dev
January 2025
Department of Psychiatry and Behavioral Health, Stony Brook University, 101 Nicolls Road, Stony Brook, NY, USA.
The diagnosis of bipolar disorder (BD) in young children has been a topic of debate, in part owing to varied interpretation of manic-like symptoms. We examined how expert academic clinicians participating in the pediatric bipolar biobank varied in their interpretation and application of Diagnostic and Statistical Manual of Mental Disorders (DSM) criteria and diagnoses. Study co-investigators reviewed 12 standardized narratives and for each marked a visual analog scale with their confidence in the presence of manic episodes and criteria.
View Article and Find Full Text PDFCurr Psychiatry Rep
January 2025
Institute of Psychiatry, Department of Neuroscience and Rehabilitation, University of Ferrara, Via Fossato di Mortara 64a, Ferrara, 44121, Italy.
PURPOSE OF REVIEW: Patients with Serious Mental Illness (SMI) are reported to be at higher risk for somatic disorders (e.g. cardiovascular and metabolic diseases) and higher mortality, compared to the general population, because of the consequences of SMI including psychotropic medication side effects, sedentary and unhealthy lifestyle, difficult access to physical health care.
View Article and Find Full Text PDFInt J Ment Health Nurs
February 2025
Department of Oncology, Aarhus University Hospital, Aarhus, Denmark.
Knowledge is needed about end-of-life care among patients with pre-existing severe mental disorders: Schizophrenia, bipolar disorder, and depression. This study aimed to explore the experiences with end-of-life care for patients with severe mental disorders, their relatives, specialised palliative care nurses and physicians, and general practitioners. Twenty semi-structured interviews were conducted and analysed using reflexive thematic analysis, hereby six interviews with patients, three with relatives, five with general practitioners, and six with specialised palliative healthcare professionals.
View Article and Find Full Text PDFNeuropsychopharmacol Rep
March 2025
Department of Psychiatry, Faculty of Medicine, Medical University of Gdańsk, Gdańsk, Poland.
Background: Residual fatigue is a common and debilitating symptom in patients with unipolar and bipolar depression, even after achieving partial or full remission. It significantly impacts patients' quality of life and increases the risk of relapse. This systematic review aims to evaluate the prevalence and effectiveness of therapeutic options for residual fatigue in individuals with unipolar major depressive disorder (MDD) and bipolar disorder (BD).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
NeuroGenomics & Informatics Center, Washington University School of Medicine, St. Louis, MO, USA.
Background: Cerebrospinal fluid (CSF) is a valuable resource for the study and diagnosis of neurological diseases, but few studies have comprehensively characterized the genetic determinants of CSF protein levels that may contribute to the development of disease. These quantitative trait loci (QTL) have proven vital to identifying candidate genes for disease treatment and monitoring. Here, we utilize our largest-to-date CSF protein QTL atlas to prioritize potentially causal proteins for 14 neurological traits and examine the unique and overlapping disease mechanisms observed using CSF proteins.
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