English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

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

MPS-Authors
/persons/resource/persons20011

Stahl,  Benjamin
Faculty of Science, MSB Medical School Berlin, Germany;
Department of Neurology, Charité University Medicine Berlin, Germany;
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Department of Neurology, Ernst Moritz Arndt University of Greifswald, Germany;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

Popescu_et_al._2022.pdf
(Publisher version), 796KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Popescu, T., Stahl, B., Wiernik, B. M., Haiduk, F., Zemanek, M., Helm, H., et al. (2022). Melodic Intonation Therapy for aphasia: A multi-level meta-analysis of randomized controlled trials and individual participant data. Annals of the New York Academy of Sciences, 1516(1), 76-84. doi:10.1111/nyas.14848.


Cite as: https://hdl.handle.net/21.11116/0000-000A-C377-4
Abstract
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 (g̅case report = 2.01 vs. g̅RCT = 0.35 for validated Non-Communicative Language Expression measures). Effect size for non-RCT data decreased with number of months post-stroke, suggesting confound through spontaneous recovery. Deviation from the original MIT protocol did not systematically alter benefit from treatment. Progress on validated tests arose mainly from gains in repetition tasks rather than other domains of verbal expression, such as everyday communication ability. Our results confirm the promising role of MIT in improving trained and untrained performance on unvalidated outcomes, alongside validated repetition tasks, and highlight possible limitations in promoting everyday communication ability.