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- W2899984616 abstract "Objective: In cognitive neuroscience, well-controlled and highly specific paradigms have been developed to measure cognitive processes over the last decades, often using computer-assisted presentation and response registration. This approach is in contrast with the traditional paper-and-pencil tests used in clinical neuropsychology, which typically assess cognitive function in a less specific manner, often even at the level of a cognitive domain. As a result, important aspects of cognitive (dys)function may be missed during a neuropsychological assessment. This paper focuses on the main challenges that need to be overcome in order to successfully integrate experimental paradigms from cognitive neuroscience into the clinical practice of neuropsychologists.Method: Six challenges are discussed: (i) experimental paradigms are often lengthy and may be overly specific; (ii) technical limitations even today hamper their application in clinics; (iii) the psychometric properties of methods used in cognitive neuroscience are under-examined or poor; (iv) many paradigms from cognitive neuroscience rely on reaction times rather than accuracy, limiting their use in the many brain-injured patients with processing speed deficits; (v) the predictive and ecological validity of these paradigms often unclear; (vi) technological progress (e.g. Moore’s law) seriously affects the continuous availability of experimental computerized assessment methods.Conclusion: Both cognitive neuroscientists and clinical neuropsychologists should work together to develop and validate novel paradigms for use in clinical assessments that are platform-independent, reliable and valid, user friendly and easy to use in clinical practice." @default.
- W2899984616 created "2018-11-16" @default.
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- W2899984616 date "2018-11-05" @default.
- W2899984616 modified "2023-10-17" @default.
- W2899984616 title "Improving precision in neuropsychological assessment: Bridging the gap between classic paper-and-pencil tests and paradigms from cognitive neuroscience" @default.
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- W2899984616 doi "https://doi.org/10.1080/13854046.2018.1518489" @default.
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