Melodic Intonation Therapy for aphasia: A multi-level meta-analysis of randomized controlled trials and individual participant data.

Melodic Intonation Therapy apraxia of speech experimental design formulaic language meta-analysis post-stroke aphasia rhythmic pacing singing

Journal

Annals of the New York Academy of Sciences
ISSN: 1749-6632
Titre abrégé: Ann N Y Acad Sci
Pays: United States
ID NLM: 7506858

Informations de publication

Date de publication:
10 2022
Historique:
pubmed: 3 8 2022
medline: 18 10 2022
entrez: 2 8 2022
Statut: ppublish

Résumé

Melodic Intonation Therapy (MIT) is a prominent rehabilitation program for individuals with post-stroke aphasia. Our meta-analysis investigated the efficacy of MIT while considering quality of outcomes, experimental design, influence of spontaneous recovery, MIT protocol variant, and level of generalization. Extensive literature search identified 606 studies in major databases and trial registers; of those, 22 studies-overall 129 participants-met all eligibility criteria. Multi-level mixed- and random-effects models served to separately meta-analyze randomized controlled trial (RCT) and non-RCT data. RCT evidence on validated outcomes revealed a small-to-moderate standardized effect in noncommunicative language expression for MIT-with substantial uncertainty. Unvalidated outcomes attenuated MIT's effect size compared to validated tests. MIT's effect size was 5.7 times larger for non-RCT data compared to RCT data (g̅

Identifiants

pubmed: 35918503
doi: 10.1111/nyas.14848
pmc: PMC9804200
doi:

Types de publication

Journal Article Meta-Analysis Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

76-84

Informations de copyright

© 2022 The Authors. Annals of the New York Academy of Sciences published by Wiley Periodicals LLC on behalf of New York Academy of Sciences.

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Auteurs

Tudor Popescu (T)

Department of Behavioural and Cognitive Biology, University of Vienna, Vienna, Austria.
Department of Neurology, Medical University of Vienna, Vienna, Austria.
Centre for Mind and Brain Sciences, University of Trento, Rovereto, Italy.

Benjamin Stahl (B)

Faculty of Science, Medical School Berlin, Berlin, Germany.
Department of Neurology, Charité Universitätsmedizin, Berlin, Germany.
Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany.

Brenton M Wiernik (BM)

Department of Psychology, University of South Florida, Tampa, Florida, USA.

Felix Haiduk (F)

Department of Behavioural and Cognitive Biology, University of Vienna, Vienna, Austria.

Michaela Zemanek (M)

University Library, University of Vienna, Vienna, Austria.

Hannah Helm (H)

Faculty of Science, Medical School Berlin, Berlin, Germany.

Theresa Matzinger (T)

Department of Behavioural and Cognitive Biology, University of Vienna, Vienna, Austria.
Department of English, University of Vienna, Vienna, Austria.
Centre of Language Evolution Studies, Nicolaus Copernicus University Toruń, Toruń, Poland.

Roland Beisteiner (R)

Department of Neurology, Medical University of Vienna, Vienna, Austria.

W Tecumseh Fitch (WT)

Department of Behavioural and Cognitive Biology, University of Vienna, Vienna, Austria.

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Classifications MeSH