Paradigm Shift Toward Digital Neuropsychology and High-Dimensional Neuropsychological Assessments: Review.
big data
informatics
machine learning
mobile phone
neuropsychology
smartphone
technology
virtual reality
Journal
Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882
Informations de publication
Date de publication:
16 12 2020
16 12 2020
Historique:
received:
22
08
2020
accepted:
28
10
2020
revised:
26
10
2020
entrez:
16
12
2020
pubmed:
17
12
2020
medline:
16
3
2021
Statut:
epublish
Résumé
Neuropsychologists in the digital age have increasing access to emerging technologies. The National Institutes of Health (NIH) initiatives for behavioral and social sciences have emphasized these developing scientific and technological potentials (eg, novel sensors) for augmented characterization of neurocognitive, behavioral, affective, and social processes. Perhaps these innovative technologies will lead to a paradigm shift from disintegrated and data-poor behavioral science to cohesive and data-rich science that permits improved translation from bench to bedside. The 4 main advances influencing the scientific priorities of a recent NIH Office of Behavioral and Social Sciences Research strategic plan include the following: integration of neuroscience into behavioral and social sciences, transformational advances in measurement science, digital intervention platforms, and large-scale population cohorts and data integration. This paper reviews these opportunities for novel brain-behavior characterizations. Emphasis is placed on the increasing concern of neuropsychology with these topics and the need for development in these areas to maintain relevance as a scientific discipline and advance scientific developments. Furthermore, the effects of such advancements necessitate discussion and modification of training as well as ethical and legal mandates for neuropsychological research and praxes.
Identifiants
pubmed: 33325829
pii: v22i12e23777
doi: 10.2196/23777
pmc: PMC7773516
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
e23777Informations de copyright
©Thomas Parsons, Tyler Duffield. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 16.12.2020.
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