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Interconnectedness of borderline personality pathology and affective temperaments in patients with mood disorders: a network analysis.
Nord J Psychiatry
January 2025
Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Purpose: Mood disorders frequently coexist with borderline personality pathology (BPP), presenting considerable clinical challenges. Affective temperaments (AT) play a role in modulating mood disorders and influence the manifestation of illness. BPP and AT share common characteristics, such as emotional instability, impulsivity, and difficulties in interpersonal relationships.
View Article and Find Full Text PDFDynamics of affect modulation in neurodevelopmental disorders (DynAMoND) - study design of a prospective cohort study.
Int J Bipolar Disord
December 2024
Department for Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt-Goethe University, Frankfurt am Main, Germany.
Background: Attention-deficit/hyperactivity disorder (ADHD) is a common neuro-developmental disorder that often persists into adulthood. Moreover, it is frequently accompanied by bipolar disorder (BD) as well as borderline personality disorder (BPD). It is unclear whether these disorders share underlying pathomechanisms, given that all three are characterized by alterations in affective states, either long or short-term.
View Article and Find Full Text PDFA four-year longitudinal evaluation of the impact of the COVID-19 pandemic on patients with a range of mental health disorders.
Ir J Psychol Med
December 2024
School of Medicine, University of Galway, Galway, Ireland.
Objectives: To examine if the COVID-19 pandemic had a differential impact longitudinally over four years on psychological and functional impact in individuals with a pre-existing anxiety, bipolar or emotionally unstable personality Disorder (EUPD).
Methods: Semi-structured interviews were conducted with 52 patients attending the Galway-Roscommon Mental Health Services with an International Classification of Diseases (ICD)-10 diagnosis of an anxiety disorder ( = 21), bipolar disorder ( = 18), or EUPD ( = 13) at four time points over a four-year period. Patients' impression of the impact of the COVID-19 pandemic was assessed in relation to anxiety and mood symptoms, social and occupational functioning and quality of life utilising psychometric instruments and Likert scale data, with qualitative data assessing participants' subjective experiences.
Magnetic Seizure Therapy in Refractory Psychiatric Disorders: A Systematic Review and Meta-Analysis: La thérapie par convulsions magnétiques pour la prise en charge des troubles psychiatriques réfractaires : revue systématique et méta-analyse.
Can J Psychiatry
December 2024
Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction & Mental Health (CAMH), Toronto, ON, Canada.
Objective: To qualitatively and quantitatively synthesize the literature on the efficacy and safety of magnetic seizure therapy (MST) in psychiatric disorders.
Methods: A literature search was conducted of the OVID Medline, OVID EMBASE, PsychINFO, CINAHL, Web of Science and Cochrane databases from inception to 14 January 2024, using subject headings and key words for "magnetic seizure therapy." Randomized controlled trials (RCTs), post-hoc analyses of RCTs, open-label trials, or case series investigating MST in adults with a verified psychiatric diagnosis and reporting on two possible primary outcomes (1) psychiatric symptom reduction (as measured by validated rating scale) or (2) neurocognitive outcomes (as measured by standardized testing), were included.
Using large language models for extracting and pre-annotating texts on mental health from noisy data in a low-resource language.
PeerJ Comput Sci
November 2024
Laboratory for Social & Cognitive Informatics, National Research University Higher School of Economics, St. Petersburg, Russia.
Article Synopsis
- Recent advancements in large language models (LLMs) have the potential to improve conversational agents in mental healthcare, but challenges such as limited training data and privacy concerns persist.
- A proposed solution involves leveraging human-AI annotation systems based on public domain discussions on social media, which require extensive cleaning to be effective.
- Our research shows that while zero-shot classification offers some benefits for categorizing discussions about psychiatric disorders, fine-tuning LLMs significantly enhances accuracy, though it comes with a trade-off in processing speed.
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