This work investigates whether inhibition impairments influence the decision making process in pathological gamblers (PGs). The PG (N=51) subjects performed the Iowa Gambling Task (IGT as the measure of the decision making process) and two tests of inhibition: the Stroop (interference inhibition), and the Go/NoGo (response inhibition), and were compared with demographically matched healthy subjects (N=57). Performance in the IGT block 1 and block 2 did not differ between the groups, but the differences between the PGs and healthy controls began to be significant in block 3, block 4 and block 5. PGs learned the IGT task more slowly than the healthy controls and had non-optimal outcomes (more disadvantageous choices). Impaired IGT performance in PGs was not related to an inhibition ability measured by the Stroop (interference response time) and the Go/NoGo (number of commission errors) parameters. Further controlled studies with neuroimaging techniques may help to clarify the particular brain mechanisms underlying the impaired decision making process in PGs.
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http://dx.doi.org/10.1016/j.psychres.2011.02.021 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Department of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125.
Cognition relies on transforming sensory inputs into a generalizable understanding of the world. Mirror neurons have been proposed to underlie this process, mapping visual representations of others' actions and sensations onto neurons that mediate our own, providing a conduit for understanding. However, this theory has limitations.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
Department of Science and Education, Shenzhen Baoan Women's and Children's Hospital, Shenzhen, China.
Background: Large language models (LLMs) have been proposed as valuable tools in medical education and practice. The Chinese National Nursing Licensing Examination (CNNLE) presents unique challenges for LLMs due to its requirement for both deep domain-specific nursing knowledge and the ability to make complex clinical decisions, which differentiates it from more general medical examinations. However, their potential application in the CNNLE remains unexplored.
View Article and Find Full Text PDFJ Am Med Inform Assoc
January 2025
Institute of Data Science, National University of Singapore, 117602, Singapore.
Objectives: This study introduces Smart Imitator (SI), a 2-phase reinforcement learning (RL) solution enhancing personalized treatment policies in healthcare, addressing challenges from imperfect clinician data and complex environments.
Materials And Methods: Smart Imitator's first phase uses adversarial cooperative imitation learning with a novel sample selection schema to categorize clinician policies from optimal to nonoptimal. The second phase creates a parameterized reward function to guide the learning of superior treatment policies through RL.
Otol Neurotol
February 2025
Department of Radiology, Yale School of Medicine, New Haven, CT.
Background: Vestibular schwannoma (VS) is a common intracranial tumor that affects patients' quality of life. Reliable imaging techniques for tumor volume assessment are essential for guiding management decisions. The study aimed to compare the ABC/2 method to the gold standard planimetry method for volumetric assessment of VS.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine, Chiba, Japan.
Background: Training opportunities, work satisfaction, and the factors that influence them according to gender and subspecialties are understudied among Japanese cardiologists.
Methods: We investigated the career development of Japanese cardiologists with an e-mail questionnaire. Feelings of inequality in training opportunities, work dissatisfaction, and reasons were assessed by examining the cardiologists' gender and invasiveness of subspecialties.
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