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A Multidimensional Assessment of Metacognition Across Domains in Multiple Sclerosis

Published online by Cambridge University Press:  10 August 2020

Audrey Mazancieux*
Affiliation:
LPNC CNRS 5105, Université Grenoble Alpes, Grenoble, France
Chris J.A. Moulin
Affiliation:
LPNC CNRS 5105, Université Grenoble Alpes, Grenoble, France Institut Universitaire de France, Paris, France
Olivier Casez
Affiliation:
Department of Neurology, Université Grenoble Alpes, Grenoble, France
Céline Souchay
Affiliation:
LPNC CNRS 5105, Université Grenoble Alpes, Grenoble, France
*
*Correspondence and reprint requests to: Audrey Mazancieux: 1251 avenue Centrale, St Martin d’Hères, 38040GrenobleFrance. Email: [email protected]

Abstract

Objective:

In neurological diseases, metacognitive judgements have been widely used in order to assess the degree of disease awareness. However, as yet little research of this type has focused on multiple sclerosis (MS).

Method:

We here focused on an investigation of item-by-item metacognitive predictions (using feeling-of-knowing judgements) in episodic and semantic memory and global metacognitive predictions in standard neuropsychological tests pertinent to MS (processing speed and verbal fluency). Twenty-seven relapsing–remitting MS (RR-MS) patients and 27 comparison participants took part.

Results:

We found that RR-MS patients were as accurate as the group of comparison participants on our episodic and semantic item-by-item judgements. However, for the global predictions, we found that the MS group initially overestimated their performance (ds = .64), but only on a task on which performance was also impaired (ds = .89; processing speed). We suggest that MS patients, under certain conditions, show inaccurate metacognitive knowledge. However, postdictions and item-by-item predictions indicate that online metacognitive processes are no different from participants without MS.

Conclusion:

We conclude that there is no monitoring deficit in RR-MS and as such these patients should benefit from adaptive strategies and symptom education.

Type
Regular Research
Copyright
Copyright © INS. Published by Cambridge University Press, 2020

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