PONT: A Protocol for Online Neuropsychological Testing.


Journal

Journal of cognitive neuroscience
ISSN: 1530-8898
Titre abrégé: J Cogn Neurosci
Pays: United States
ID NLM: 8910747

Informations de publication

Date de publication:
01 10 2021
Historique:
pubmed: 5 8 2021
medline: 15 12 2021
entrez: 4 8 2021
Statut: ppublish

Résumé

A major challenge for neuropsychological research arises from the fact that we are dealing with a limited resource: the patients. Not only is it difficult to identify and recruit these individuals, but their ability to participate in research projects can be limited by their medical condition. As such, sample sizes are small, and considerable time (e.g., 2 years) is required to complete a study. To address limitations inherent to laboratory-based neuropsychological research, we developed a protocol for online neuropsychological testing (PONT). We describe the implementation of PONT and provide the required information and materials for recruiting participants, conducting remote neurological evaluations, and testing patients in an automated, self-administered manner. The protocol can be easily tailored to target a broad range of patient groups, especially those who can be contacted via support groups or multisite collaborations. To highlight the operation of PONT and describe some of the unique challenges that arise in online neuropsychological research, we summarize our experience using PONT in a research program involving individuals with Parkinson disease and spinocerebellar ataxia. In a 10-month period, by contacting 646 support group coordinators, we were able to assemble a participant pool with over 100 patients in each group from across the United States. Moreover, we completed six experiments (n > 300) exploring their performance on a range of tasks examining motor and cognitive abilities. The efficiency of PONT in terms of data collection, combined with the convenience it offers the participants, promises a new approach that can increase the impact of neuropsychological research.

Identifiants

pubmed: 34347867
pii: 106764
doi: 10.1162/jocn_a_01767
pmc: PMC8924962
mid: NIHMS1784795
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

2413-2425

Subventions

Organisme : NINDS NIH HHS
ID : R35 NS116883
Pays : United States
Organisme : NIH HHS
ID : NS116883
Pays : United States

Informations de copyright

© 2021 Massachusetts Institute of Technology.

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Auteurs

William Saban (W)

University of California, Berkeley.

Richard B Ivry (RB)

University of California, Berkeley.

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Classifications MeSH