Emotion categories configure the basic semantic knowledge of the human cognitive structure. Previous studies with people with Williams syndrome (WS) investigated their ability to process basic emotions and the dimensions of emotional valences. However, little is known about the categorization of emotions from the subordinate perspective of lexical words in people with WS. In this study, emotion priming was used as the research paradigm. Three types of emotional valence were used as stimuli: positive, neutral, and negative. Each emotional valence was used as a prime matched to a target in one of these same three types of emotional valence. All participants were asked to judge whether the prime and the target were matched in their emotional valence. People with WS (n = 14, 11M/3F, CA = 10.49, and MA = 6.57) showed priming patterns for emotion valences like those of the typically developing controls. When positive primes were presented, accuracy was higher for positive and negative targets than neutral targets. When neutral primes were presented, accuracy was highest for negative targets. When negative primes were presented, accuracy was the lowest for negative targets. All participants showed high priming accuracy for positive emotions; however, they confused neutral with positive targets. A negative priming effect was observed when negative primes preceded negative targets. Considering previous findings that people with WS show developmental delays in the basic emotions of and , this study concludes that people with WS responded least accurately to the classification of emotional valence. The findings regarding the categorization of emotions in people with WS not only advance our understanding of their emotion knowledge and socioemotional cognition but also confirm the superficial enrichment of lexical semantics with weak conceptual change in people with WS. This weakness may result in impaired contextual integration in people with WS.
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http://dx.doi.org/10.3390/brainsci13030467 | DOI Listing |
Biol Psychol
January 2025
Department of Psychology, Institute for Mind and Brain, University of South Carolina, Columbia, SC 29201, USA. Electronic address:
We examined differences in physiological responses to aversive and non-aversive naturalistic audiovisual stimuli and their auditory and visual components within the same experiment. We recorded five physiological measures that have been shown to be sensitive to affect: electrocardiogram, electromyography (EMG) for zygomaticus major and corrugator supercilii muscles, electrodermal activity (EDA), and skin temperature. Valence and arousal ratings confirmed that aversive stimuli were more negative in valence and higher in arousal than non-aversive stimuli.
View Article and Find Full Text PDFMem Cognit
January 2025
École de Psychologie, Université de Moncton, Moncton, NB, E1A 3E9, Canada.
In short-term ordered recall tasks, phonological similarity impedes item and order recall, while semantic similarity benefits item recall with a weak or null effect on order recall. Ishiguro and Saito recently suggested that these contradictory findings were due to an inadequate assessment of semantic similarity. They proposed a novel measure of semantic similarity based on the distance between items in a three-dimensional space composed of the semantic dimensions of valence, arousal, and dominance.
View Article and Find Full Text PDFPsychopharmacology (Berl)
January 2025
Edith Collins Centre for Translational Research in Alcohol, Drugs and Toxicology, Royal Prince Alfred Hospital, Sydney Local Health District, Sydney, NSW, Australia.
Rationale: Both topiramate and naltrexone have been shown to affect neural alcohol cue reactivity in alcohol use disorder (AUD). However, their comparative effects on alcohol cue reactivity are unknown. Moreover, while naltrexone has been found to normalize hyperactive localized network connectivity implicated in AUD, no studies have examined the effect of topiramate on intrinsic functional connectivity or compared functional connectivity between these two widely used medications.
View Article and Find Full Text PDFEntropy (Basel)
January 2025
School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China.
Emotion recognition is an advanced technology for understanding human behavior and psychological states, with extensive applications for mental health monitoring, human-computer interaction, and affective computing. Based on electroencephalography (EEG), the biomedical signals naturally generated by the brain, this work proposes a resource-efficient multi-entropy fusion method for classifying emotional states. First, Discrete Wavelet Transform (DWT) is applied to extract five brain rhythms, i.
View Article and Find Full Text PDFScience
January 2025
Laboratory of Cerebral Cortex Research, HUN-REN Institute of Experimental Medicine, Budapest, Hungary.
Rewards are essential for motivation, decision-making, memory, and mental health. We identified the subventricular tegmental nucleus (SVTg) as a brainstem reward center. In mice, reward and its prediction activate the SVTg, and SVTg stimulation leads to place preference, reduced anxiety, and accumbal dopamine release.
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