Purpose: To investigate whether identifying specific deficits after brain injury can lead to a more focused and potentially effective cognitive rehabilitation technology.
Method: Cognitive simulation assessment was undertaken in a 47-year-old man with trauma-related prefrontal damage and persisting occupational and cognitive-behavioral difficulties at 15 months post brain injury.
Results: Results revealed significant difficulties in measured levels of activity, initiative, information utilization, response flexibility, and effective decision-making strategies which accorded well with his real-life complaints despite normal neuropsychological test scores. This profile of findings was then used to design a two-stage intervention program. The first stage focused on participant education and awareness about his simulation-based problem solving difficulties. In the second stage specific goals were formulated to improve problem solving impairments that were then the target of weekly training sessions using pertinent decision-making and problem-solving vignettes. A parallel version of the cognitive simulation assessment was undertaken post-cognitive training (3 months after initial assessment) and revealed significant improvements in targeted executive cognitive-behavioral areas.
Conclusion: Results of this cognitive rehabilitation probe supported the feasibility and validity of undertaking a cognitive simulation approach to identify residual executive function deficits after traumatic brain injury, even with a normal neuropsychological test profile. Further studies are needed to establish the reliability, generalizability and maintenance of such gains.
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http://dx.doi.org/10.1080/09638280701625401 | DOI Listing |
Stat Methods Med Res
January 2025
Department of Statistics and Institute of Data Science, National Cheng Kung University, Tainan, Taiwan.
The article proposes a robust approach to jointly modeling multiple repeated clinical measures with intricate features. More specifically, we aim to expand the scope of the multivariate linear mixed model by using the multivariate contaminated normal distribution. The proposed model, called the multivariate contaminated normal linear mixed model with censored and missing responses (MCNLMM-CM), is designed to handle minor outliers effectively, while simultaneously accommodating censored measurements and intermittent missing responses.
View Article and Find Full Text PDFFor a linking hypothesis in the visual world paradigm to clearly accommodate existing findings and make unambiguous predictions, it needs to be computationally implemented in a fashion that transparently draws the causal connection between the activations of internal representations and the measured output of saccades and reaching movements. Quantitatively implemented linking hypotheses provide an opportunity to not only demonstrate an existence proof of that causal connection but also to test the fidelity of the measuring methods themselves. When a system of interest is measured one way (e.
View Article and Find Full Text PDFNeuroimage
January 2025
School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran; School of Cognitive Sciences, Institute for Research in Fundamental Sciences, Tehran, Iran. Electronic address:
Object recognition under challenging real-world conditions, including partial occlusion, remains an enduring focus of investigation in cognitive visual neuroscience. This study addresses the insufficiently elucidated neural mechanisms and temporal dynamics involved in this complex process, concentrating on the persistent challenge of recognizing objects obscured by occlusion. Through the analysis of human EEG data, we decode feedback characteristics within frontotemporal networks, uncovering intricate neural mechanisms during occlusion coding, with a specific emphasis on processing complex stimuli such as occluded faces.
View Article and Find Full Text PDFNeuroimage
January 2025
Shanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), Institute of Brain and Education Innovation, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China; Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, China; NYU-ECNU Institute of Brain and Cognitive Science, New York University Shanghai, Shanghai, China. Electronic address:
Environmental and social changes during early school age have a profound impact on brain development. However, it remains unclear how the brains of typically-developing children adjust white matter to optimize network topology during this period. This study aims to propose the fiber length distribution as a novel nodal metric to capture the continuous maturation of brain network.
View Article and Find Full Text PDFNurse Educ Today
January 2025
Univ Rennes, LP3C (Laboratoire de Psychologie: Cognition, Comportement, Communication), F-35000 Rennes, France. Electronic address:
Aims: Crises in the operating room, often resulting from human factors, endangers patient safety. Simulation-based training to develop non-technical skills shows promise in managing these crises. This review examines the simulation techniques, targeted healthcare professionals, non-technical skills, crisis scenarios, and evaluation metrics used in operating room crisis management training.
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