Evidence map›Paper›PMID 37744405›Full record

ArticleiScience2023

Melodic intonation therapy for non-fluent aphasia after stroke: A clinical pilot study on behavioral and DTI findings.

Xiaoying Zhang, Zuliyaer Talifu, Jianjun Li, Xiaobing Li, Feng Yu

Abstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Advances in Neuromodulation Techniques for Aphasia Rehabilitation: A Comprehensive Review.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Review
  7. Review
  8. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xiaoying ZhangSchool of Rehabilitation Medicine, Capital Medical University, Beijing 100068, China.
Zuliyaer TalifuSchool of Rehabilitation Medicine, Capital Medical University, Beijing 100068, China.
Jianjun LiSchool of Rehabilitation Medicine, Capital Medical University, Beijing 100068, China.
Xiaobing LiDepartment of Music Artificial Intelligence and Music Information Technology, Central Conservatory of Music, Beijing 100038, China.
Feng YuDepartment of Music Artificial Intelligence and Music Information Technology, Central Conservatory of Music, Beijing 100038, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Music-based melodic intonation therapy (MIT) has shown promise as a treatment for non-fluent aphasia after stroke. This trial compared the efficacy of music-based MIT and speech therapy (ST) in aphasia, focusing on arcuate fasciculus connectivity in brain structural and language ability scores. A total of 62 patients were enrolled, of whom 40 completed the trial. The experimental group received MIT for 30 min/d, five days per week for four weeks, while the control group received ST with the same dose. The BDAE and fMRI-DTI were performed at T0 and T1. The music-based MIT group demonstrated better language levels. DTI showed that FA, FN, and path length of the MIT group in the right hemisphere were significantly increased. Music-based MIT had positive effects on reorganization and activation of arcuate fasciculus in aphasia after stroke. This research is funded by NSFC No. T2341003 and No.2020CZ-10. Clinical Trials ChiCTR2000037871. Ethics approval number: 2020-013-1.

Indexed as

Clinical neuroscienceCognitive neuroscienceHealth sciencesTherapeutics

Identifiers

PMID37744405
PMCPMC10517365

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.