Children and adolescents with psychopathic traits show deficits in emotion recognition, but there is no consensus as to the extent of their generalizability or about the variables that may be moderating the process. The present Systematic Review brings together the existing scientific corpus on the subject and attempts to answer these questions through an exhaustive review of the existing literature according to PRISMA 2020 statement. Results confirmed the existence of pervasive deficits in emotion recognition and, more specifically, on distress emotions (e.g., fear), a deficit that transcends all modalities of emotion presentation and all emotional stimuli used. Moreover, they supported the key role of attention to relevant areas that provide emotional cues (e.g., eye-region) and point out differences according to the presence of disruptive behavior and based on the psychopathy dimension examined. This evidence could advance the current knowledge on developmental models of psychopathic traits. Yet, homogenization of the conditions of research in this area should be prioritized to be able to draw more robust and generalizable conclusions.
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http://dx.doi.org/10.1007/s10567-023-00466-z | DOI Listing |
ASN Neuro
January 2025
Department of Anatomy and Neurobiology, Virginia Commonwealth University, Richmond, Virginia, USA.
People living with HIV (PLWH) experience HIV-associated neurocognitive disorders (HAND), even though combination antiretroviral therapy (cART) suppresses HIV replication. HIV-1 transactivator of transcription (HIV-1 Tat) contributes to the development of HAND through neuroinflammatory and neurotoxic mechanisms. C-C chemokine 5 receptor (CCR5) is important in immune cell targeting and is a co-receptor for HIV viral entry into CD4+ cells.
View Article and Find Full Text PDFPLoS Biol
January 2025
Humanities and Social Sciences, California Institute of Technology, Pasadena, California, United States of America.
Pivotal to self-preservation is the ability to identify when we are safe and when we are in danger. Previous studies have focused on safety estimations based on the features of external threats and do not consider how the brain integrates other key factors, including estimates about our ability to protect ourselves. Here, we examine the neural systems underlying the online dynamic encoding of safety.
View Article and Find Full Text PDFInt J Rheum Dis
January 2025
Center for Rheumatology and Spine Diseases, Copenhagen Center for Arthritis Research (COPECARE), Centre for Head and Orthopaedics, Rigshospitalet, Glostrup, Denmark.
Objective: Despite advancements in pharmacological treatments, living with inflammatory arthritis (IA) (including rheumatoid arthritis (RA), psoriatic arthritis (PsA), and axial spondyloarthritis (axSpA)) can make it challenging to engage in social activities, which may increase the risk of loneliness. Although loneliness is predominantly prevalent in IA, its origin and impact on mental health status on daily life with IA remain unexplored. Therefore, the objective of this study was to describe the experiences of people with IA in relation to loneliness.
View Article and Find Full Text PDFPilot Feasibility Stud
January 2025
Department of Health Service & Population Research, David Goldberg Centre, King's College London, Denmark Hill, London, UK.
Background: Mental health disorders are one of the leading causes of illness globally. The importance of psychosocial skills acquired in early childhood, such as executive functions, inhibitory control, emotional regulation, and social problem-solving, in preventing mental disorders has been reported. Furthermore, mental health care delivery is evolving, and mobile technology is becoming the medium for assessment and intervention.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of AI Convergence, Sungshin Women's University, 34 da-gil 2, Bomun-ro, Seongbuk-gu, Seoul 02844, Republic of Korea.
This paper proposes a machine learning approach to detect threats using short-term PPG (photoplethysmogram) signals from a commercial smartwatch. In supervised learning, having accurately annotated training data is essential. However, a key challenge in the threat detection problem is the uncertainty regarding how accurately data labeled as 'threat' reflect actual threat responses since participants may react differently to the same experiments.
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