The effect of expertise training with faces was studied in adults with ASD who showed initial impairment in face recognition. Participants were randomly assigned to a computerized training program involving either faces or houses. Pre- and post-testing included standardized and experimental measures of behavior and event-related brain potentials (ERPs), as well as interviews after training. After training, all participants met behavioral criteria for expertise with the specific stimuli on which they received training. Scores on standardized measures improved after training for both groups, but only the face training group showed an increased face inversion effect behaviorally and electrophysiological changes to faces in the P100 component. These findings suggest that individuals with ASD can gain expertise in face processing through training.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3707515 | PMC |
| http://dx.doi.org/10.1007/s10803-011-1243-8 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
For better or for worse: differential effects of the emotional valence of words on children's recall.
Cogn Emot
January 2025
Equipe de Recherche Contextes et Acteurs de l'Education (ERCAé), Université d'Orléans, Orléans, France.
Recent research has revealed the widespread effects of emotion on cognitive functions and memory. However, the influence of emotional valence on verbal short-term memory remains largely unexplored, especially in children. This study measured the effect of emotional valence on word immediate serial recall in 4-6-year-old French children ( = 124).
View Article and Find Full Text PDFAI Can Be a Powerful Social Innovation for Public Health if Community Engagement Is at the Core.
J Med Internet Res
January 2025
Center for Community-Engaged Artificial Intelligence, School of Science & Engineering, Tulane University, New Orleans, LA, United States.
There is a critical need for community engagement in the process of adopting artificial intelligence (AI) technologies in public health. Public health practitioners and researchers have historically innovated in areas like vaccination and sanitation but have been slower in adopting emerging technologies such as generative AI. However, with increasingly complex funding, programming, and research requirements, the field now faces a pivotal moment to enhance its agility and responsiveness to evolving health challenges.
View Article and Find Full Text PDFDecay in Physiologic Knowledge since Medical School among Critical Care Fellows (DIP Study).
ATS Sch
January 2025
Critical Care Medicine Department, National Institutes of Health, Bethesda, Maryland.
Rapid accumulation of knowledge and skills by trainees in the intensive care unit assumes prior mastery of clinically relevant core physiology concepts. However, for many fellows, their foundational physiology knowledge was acquired years earlier during their preclinical medical curricula and variably reinforced during the remainder of their undergraduate and graduate medical training. We sought to assess the retention of clinically relevant pulmonary physiology knowledge among pulmonary and critical care medicine (PCCM) and critical care medicine (CCM) fellows.
View Article and Find Full Text PDFTen Machine Learning Models for Predicting Preoperative and Postoperative Coagulopathy in Patients With Trauma: Multicenter Cohort Study.
J Med Internet Res
January 2025
Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, China.
Background: Recent research has revealed the potential value of machine learning (ML) models in improving prognostic prediction for patients with trauma. ML can enhance predictions and identify which factors contribute the most to posttraumatic mortality. However, no studies have explored the risk factors, complications, and risk prediction of preoperative and postoperative traumatic coagulopathy (PPTIC) in patients with trauma.
View Article and Find Full Text PDFPalliative Care Needs in Adult Patients with Acute Leukemia: A Prospective Observational Study.
J Palliat Med
January 2025
Pain and Palliative Care, Medical Superspeciality Hospital, Kolkata, India.
Acute leukemia (AL) affects patients' well-being and inflicts substantial symptom burden. We evaluated palliative care needs and symptom burden in adult patients with AL from diagnosis through fourth week of induction chemotherapy. Newly diagnosed adult patients with AL scheduled for curative-intent treatments, prospectively completed Functional Assessment of Cancer Therapy-Leukemia questionnaire at diagnosis and postinduction therapy.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!