Evidence map›Paper›PMID 35851957›Full record

ReviewAnnals of the New York Academy of Sciences2022

The promise of music therapy for Alzheimer's disease: A review.

Anna Maria Matziorinis, Stefan Koelsch

Open access · hybridAbstract readReview
In one paragraph

Review in Annals of the New York Academy of Sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 6 pooled it
23.6field-weighted citation impact, top 1% of its field
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

52 citing papers in PubMed, 6 syntheses or guidelines pooled it, 111 citations in OpenAlex.

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  18. Sex dependency of subconscious visual perception.Biology of sex differences · 2025
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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

2 authors at 1 institution in 1 country.

Anna Maria MatziorinisDepartment of Biological and Medical Psychology, University of Bergen, Bergen, Norway.ORCID 0000-0003-2325-9261
Stefan KoelschDepartment of Biological and Medical Psychology, University of Bergen, Bergen, Norway.
University of Bergen · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a progressive neurodegenerative disease associated with cognitive decline. Memory problems are typically among the first signs of cognitive impairment in AD, and they worsen considerably as the disease progresses. However, musical memory is partially spared in patients with AD, despite severe deficits in episodic (and partly semantic) memory. AD patients can learn new songs, encode novel verbal information, and react emotionally to music. These effects of music have encouraged the use and development of music therapy (MT) for AD management. MT is easy to implement and well-tolerated by most patients and their caregivers. Effects of MT in patients with AD include improved mood, reduced depressive scores and trait anxiety, enhanced autobiographical recall, verbal fluency, and cognition. Here, we review musical memory in AD, therapeutic effects of studies using MT on AD, and potential mechanisms underlying those therapeutic effects. We argue that, because AD begins decades before the presentation of clinical symptoms, music interventions might be a promising means to delay and decelerate the neurodegeneration in individuals at risk for AD, such as individuals with genetic risk or subjective cognitive decline.

Indexed as

Alzheimer DiseaseMemory, EpisodicMusicMusic TherapyNeurodegenerative DiseasesHumansMental RecallNeuropsychological TestsAlzheimer's diseasemusical memorymusic therapyneurodegenerative diseasenonpharmacological therapy

Identifiers

PMID35851957
PMCPMC9796133
OpenAlexW4285802055

What OpenQuestion holds

Textmetadata
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.