Literature DB >> 34347867

PONT: A Protocol for Online Neuropsychological Testing.

William Saban1, Richard B Ivry1.   

Abstract

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.
© 2021 Massachusetts Institute of Technology.

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Year:  2021        PMID: 34347867      PMCID: PMC8924962          DOI: 10.1162/jocn_a_01767

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  31 in total

1.  Experience-dependent changes in cerebellar contributions to motor sequence learning.

Authors:  Julien Doyon; Allen W Song; Avi Karni; Francois Lalonde; Michelle M Adams; Leslie G Ungerleider
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-22       Impact factor: 11.205

Review 2.  Conducting Clinical Research Using Crowdsourced Convenience Samples.

Authors:  Jesse Chandler; Danielle Shapiro
Journal:  Annu Rev Clin Psychol       Date:  2016-01-11       Impact factor: 18.561

Review 3.  Sequential movement skill in Parkinson's disease: a state-of-the-art.

Authors:  Marit F L Ruitenberg; Wout Duthoo; Patrick Santens; Wim Notebaert; Elger L Abrahamse
Journal:  Cortex       Date:  2015-01-24       Impact factor: 4.027

4.  Double dissociation of single-interval and rhythmic temporal prediction in cerebellar degeneration and Parkinson's disease.

Authors:  Assaf Breska; Richard B Ivry
Journal:  Proc Natl Acad Sci U S A       Date:  2018-11-13       Impact factor: 11.205

5.  Sequence learning in Parkinson's disease: Focusing on action dynamics and the role of dopaminergic medication.

Authors:  Marit F L Ruitenberg; Wout Duthoo; Patrick Santens; Rachael D Seidler; Wim Notebaert; Elger L Abrahamse
Journal:  Neuropsychologia       Date:  2016-10-01       Impact factor: 3.139

6.  Movement sequencing disorders in Parkinson's disease.

Authors:  E A Roy; J Saint-Cyr; A Taylor; A Lang
Journal:  Int J Neurosci       Date:  1993-12       Impact factor: 2.292

7.  Collecting response times using Amazon Mechanical Turk and Adobe Flash.

Authors:  Travis Simcox; Julie A Fiez
Journal:  Behav Res Methods       Date:  2014-03

8.  Spatial and temporal sequence learning in patients with Parkinson's disease or cerebellar lesions.

Authors:  Jacqueline C Shin; Richard B Ivry
Journal:  J Cogn Neurosci       Date:  2003-11-15       Impact factor: 3.225

9.  Cerebellar degeneration affects cortico-cortical connectivity in motor learning networks.

Authors:  Elinor Tzvi; Christoph Zimmermann; Richard Bey; Thomas F Münte; Matthias Nitschke; Ulrike M Krämer
Journal:  Neuroimage Clin       Date:  2017-07-15       Impact factor: 4.881

10.  A randomized controlled pilot trial of game-based training in individuals with spinocerebellar ataxia type 3.

Authors:  Ray-Yau Wang; Fang-Yi Huang; Bing-Wen Soong; Shih-Fong Huang; Yea-Ru Yang
Journal:  Sci Rep       Date:  2018-05-18       Impact factor: 4.379

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