Musicians' brains are considered to be a functional model of neuroplasticity due to the structural and functional changes associated with long-term musical training. In this study, we examined implicit extraction of statistical regularities from a continuous stream of stimuli-statistical learning (SL). We investigated whether long-term musical training is associated with better extraction of statistical cues in an auditory SL (aSL) task and a visual SL (vSL) task-both using the embedded triplet paradigm. Online measures, characterized by event related potentials (ERPs), were recorded during a familiarization phase while participants were exposed to a continuous stream of individually presented pure tones in the aSL task or individually presented cartoon figures in the vSL task. Unbeknown to participants, the stream was composed of triplets. Musicians showed advantages when compared to non-musicians in the online measure (early N1 and N400 triplet onset effects) during the aSL task. However, there were no differences between musicians and non-musicians for the vSL task. Results from the current study show that musical training is associated with enhancements in extraction of statistical cues only in the auditory domain.
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http://dx.doi.org/10.3389/fnhum.2017.00114 | DOI Listing |
Health Promot Pract
January 2025
University of Louisville, Louisville, KY, USA.
Mental illness, affecting one in eight people worldwide, is often exacerbated by stigma-which can result in self-stigmatization, isolation, and loneliness and negatively impact access to health care, education, and social connection. Previous research has found that stigma is best reduced through a combination of education about the stigmatized population and intentional contact with individuals from that population. Studies also note the benefits of community-based, culturally-relevant interventions and cultural experiences such as live music.
View Article and Find Full Text PDFNutrients
January 2025
School of Sport Science, Beijing Sport University, Beijing 100084, China.
Background: Both listening to music during warm-up and consuming caffeine before exercise have been independently shown to enhance athletic performance. However, the potential synergistic effects of combining these strategies remain largely unexplored. To date, only two studies have reported additional benefits to combining music during warm-up with a caffeine dose of 3 mg/kg on taekwondo-specific performance tasks.
View Article and Find Full Text PDFSensors (Basel)
January 2025
School of Computer Science, Shaanxi Normal University, Xi'an 710062, China.
Music generation by AI algorithms like Transformer is currently a research hotspot. Existing methods often suffer from issues related to coherence and high computational costs. To address these problems, we propose a novel Transformer-based model that incorporates a gate recurrent unit with root mean square norm restriction (TARREAN).
View Article and Find Full Text PDFChildren (Basel)
January 2025
Research Group in Physical Activity, Physical Exercise and Sport (AKTIBOki) and Society, Sport and Physical Activity (GIKAFIT) Research Group, Department of Physical Education and Sports, Faculty of Education and Sport, University of the Basque Country (UPV/EHU), 01007 Vitoria-Gasteiz, Spain.
This study aimed to develop a questionnaire to describe and diagnose the physical activity and sport (PAS) habits of 8-12-year-old schoolchildren, assessing its content, ecological validity and reliability, from a multidimensional perspective aligned with Global Matrix 4.0 indicators. The questionnaire design phase involved seven individuals from the university sector and sport managers from the Gipuzkoa Provincial Council.
View Article and Find Full Text PDFChildren (Basel)
January 2025
Department of Biological and Environmental Science and Technologies (DiSTeBA), University of Salento, 73100 Lecce, Italy.
Background/objectives: The main objective of this manuscript is to evaluate the effects of training, music, and movement intervention on motor functions, social engagement, and behaviors in autistic children.
Methods: Twenty-one children with a diagnosis of mild autism spectrum disorder (ASD), with an age range of 5-to-13 years, were divided into two groups: the experimental group ( = 10) and the control group ( = 11). All participants were examined before (T0) and after the intervention (T1) to evaluate their motor functions (Bruininks-Oseretsky Motor Performance Test (BOT-2)), maladaptive behavior (RCS (Response to Challenge Scale)), and enjoyment and engagement (PACES (Physical Activity Enjoyment Scale)).
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