Clinical Neuropsychology and Technology What’s New and How We Can Use It /

This ambitious and accessible guide reviews innovative technologies enhancing the field of neuropsychological testing. Starting with the premise that standard batteries—some nearly a century old—lag behind in our era of neuroimaging, genomic studies, psychophysiology, and informatics, it presents di...

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Κύριος συγγραφέας: Parsons, Thomas D. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Introduction
  • Historical development of neuropsychology's changing roles and tools
  • Improved ecological validity throughout enhanced technologies
  • Frontal subcortical circuits and modeling of hot and cool cognitive functioning
  • Assessment
  • Overview of computerized neuropsychological assessment devices
  • Psychometric issues in neuropsychological assessment using novel technologies
  • Construct-driven technologies for assessments of cognitive functioning
  • Function-led scenarios: representativeness and generalizability
  • Rehabilitation
  • Gamification of neurocognitive approaches to rehabilitation
  • Neurocognitive and psychophysiological interfaces for adaptive rehabilitation
  • Neuroimaging to model neurocognitive function and guide rehabilitation
  • Telemedicine and e-Health
  • Teleneuropsychology and evidence-based practice
  • Ecological momentary interventions: incorporating mobile technology
  • Metaverse platforms and the potential of assessment using MOMPGs
  • Neuroinformatics for Neuropsychologists
  • Artificial neural networks: from neuroscience to clinical neuropsychology
  • Interpreting technologically enhanced neuropsychological assessment data
  • Collaborative neuropsychological knowledge bases
  • Conclusions
  • Advanced technology and assessment: ethical and methodological considerations
  • Future prospects for a computational neuropsychology.