Background: Procedural learning is an implicit process in which a behavioral response is refined through repeated performance. Neural systems supporting this cognitive process include specific frontostriatal systems responsible for the preparation and timing of planned motor responses. Evaluating performance on procedural learning tasks can provide unique information about neurodevelopmental disorders in which frontostriatal disturbances have been reported, such as autism.
Methods: Fifty-two individuals with autism and 54 age-, IQ-, and gender-matched healthy individuals performed an oculomotor serial reaction time task and a sensorimotor control task.
Results: Whereas the rate of procedural learning and the precision of planned motor responses were unimpaired in autism, a lateralized alteration in the ability to time predictive responses was observed. Rightward saccadic responses were speeded in individuals with autism relative to healthy control subjects.
Conclusions: Speeded rightward predictive saccades suggest atypical functioning of left hemisphere striatal chronometric systems in autism.
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http://dx.doi.org/10.1016/j.biopsych.2009.01.008 | DOI Listing |
Br J Educ Psychol
January 2025
Department of Psychology, Lingnan University, Hong Kong SAR, China.
Background: The achievement goals set by parents and teachers play a crucial role in shaping students' personal goal orientation and academic performance. Previous studies have revealed discrepancies between achievement goals set by parents and teachers. However, limited research has examined how the congruence of perceived parents' and teachers' achievement goals is associated with students' academic performance.
View Article and Find Full Text PDFJ Biophotonics
January 2025
Nanjing University of Chinese Medicine, Nanjing, China.
Liver malignancies, particularly hepatocellular carcinoma (HCC), pose a formidable global health challenge. Conventional diagnostic techniques frequently fall short in precision, especially at advanced HCC stages. In response, we have developed a novel diagnostic strategy that integrates hyperspectral imaging with deep learning.
View Article and Find Full Text PDFJ Adv Nurs
January 2025
School of Health, Policing and Sciences, University of Staffordshire, Staffordshire, UK.
Aim: To explore the perceptions and experiences of students raising concerns during pre-registration health and/or social care training in England.
Design: Systematic review.
Data Sources: MEDLINE, CINAHL, ERIC, PsycINFO and Education Research Complete were systematically searched for studies published between September 2015 and August 2024.
J Dent Sci
January 2025
Graduate Institute of Clinical Dentistry, School of Dentistry, National Taiwan University, Taipei, Taiwan.
Background/purpose: The integration of digital technologies in dental technician education revolutionized the profession in Asian countries. Despite the growing adoption of digital methods, national examinations predominantly relied on traditional techniques. This study aimed to conduct a comparative analysis of national examination standards and digital course integration in dental technician education among 5 countries including Japan, Taiwan, South Korea, the Philippines, and China.
View Article and Find Full Text PDFJ Dent Sci
January 2025
School of Dentistry, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Background/purpose: Oral mucosal lesions are associated with a variety of pathological conditions. Most deep-learning-based convolutional neural network (CNN) systems for computer-aided diagnosis of oral lesions have typically concentrated on determining limited aspects of differential diagnosis. This study aimed to develop a CNN-based diagnostic model capable of classifying clinical photographs of oral ulcerative and associated lesions into five different diagnoses, thereby assisting clinicians in making accurate differential diagnoses.
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