Conducting a study of emotional prosody often requires that one have a valid set of stimuli for assessing perceived emotion in vocal intonation. In this study, we created a list of sentences with both affective and neutral content, and then validated them against rater opinion. Participants read sentences with content that implied happiness, sadness, anger, fear, or neutrality and rated how well they could imagine each sentence being expressed in each emotion. Coefficients of variation and intraclass correlations were calculated to narrow the list to affective sentences that had high agreement and neutral sentences that had low agreement. We found that raters could easily identify most emotional content and did not ascribe any unique emotion to most neutral content. We also found differences between the intensity of male and female ratings. The final list of sentences is available on the Internet (www.med.upenn.edu/bbl/) and can be recorded for use as stimuli for prosodic studies.
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http://dx.doi.org/10.3758/BRM.40.4.935 | DOI Listing |
J Autism Dev Disord
January 2025
Brown Center for the Study of Children at Risk, Women & Infants Hospital, Providence, RI, USA.
Autism spectrum disorder (ASD) is characterized by impairments in social affective engagement. The present study uses a mild social stressor task to add to inconclusive past literature concerning differences in affective expressivity between autistic young adults and non-autistic individuals from the general population (GP). Young adults (mean age = 21.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.
The field of emotion recognition from physiological signals is a growing area of research with significant implications for both mental health monitoring and human-computer interaction. This study introduces a novel approach to detecting emotional states based on fractal analysis of electrodermal activity (EDA) signals. We employed detrended fluctuation analysis (DFA), Hurst exponent estimation, and wavelet entropy calculation to extract fractal features from EDA signals obtained from the CASE dataset, which contains physiological recordings and continuous emotion annotations from 30 participants.
View Article and Find Full Text PDFBehav Sci (Basel)
December 2024
Department of Medicine and Surgery, University of Parma, Via Volturno, 39, 43125 Parma, PR, Italy.
Introduction: Post-Traumatic Stress Disorder (PTSD) is a highly prevalent disorder and a highly debilitating condition. Although current theories focused on depressed mood and intrusion as critical dimensions, the mechanism through which depression increases the risk of PTSD remains unclear. Research usually concentrates on the hyperactive negative valence system (NVS) (e.
View Article and Find Full Text PDFAnimals (Basel)
December 2024
Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC 27695, USA.
Canine-assisted interactions (CAIs) have been explored to offer therapeutic benefits to human participants in various contexts, from addressing cancer-related fatigue to treating post-traumatic stress disorder. Despite their widespread adoption, there are still unresolved questions regarding the outcomes for both humans and animals involved in these interactions. Previous attempts to address these questions have suffered from core methodological weaknesses, especially due to absence of tools for an efficient objective evaluation and lack of focus on the canine perspective.
View Article and Find Full Text PDFNeurosci Biobehav Rev
January 2025
Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA; Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany. Electronic address:
Understanding how the brain distinguishes emotional from neutral scenes is crucial for advancing brain-computer interfaces, enabling real-time emotion detection for faster, more effective responses, and improving treatments for emotional disorders like depression and anxiety. However, inconsistent research findings have arisen from differences in study settings, such as variations in the time windows, brain regions, and emotion categories examined across studies. This review sought to compile the existing literature on the timing at which the adult brain differentiates basic affective from neutral scenes in less than one second, as previous studies have consistently shown that the brain can begin recognizing emotions within just a few milliseconds.
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