Evidence map›Paper›PMID 36777231›Full record

ArticleFrontiers in psychology2023

Happy and sad music acutely modulate different types of attention in older adults.

Nicholas Dovorany, Schea Brannick, Nathan Johnson, Ileana Ratiu, Arianna N LaCroix

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07198048 (Treating Attention and Language in Post-stroke Aphasia Using a Music-based Intervention.), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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.

NCT07198048 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Treating Attention and Language in Post-stroke Aphasia Using a Music-based Intervention.

TypeinterventionalSponsorPurdue UniversityRan2025 to 2028Enrolled45ConditionsAphasia, Stroke, Stroke and Aphasia, Stroke HemorrhagicArmsMusic-Based Therapy for Post Stroke Aphasia, Audiobook Intervention for Post Stroke Aphasia
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. 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.

Nicholas DovoranyCollege of Graduate Studies, Midwestern University, Glendale, AZ, United States.
Schea BrannickCollege of Health Sciences, Midwestern University, Glendale, AZ, United States.
Nathan JohnsonCollege of Graduate Studies, Midwestern University, Glendale, AZ, United States.
Ileana RatiuCollege of Health Sciences, Midwestern University, Glendale, AZ, United States.
Arianna N LaCroixDepartment of Speech, Language, and Hearing Sciences, College of Health and Human Sciences, Purdue University, West Lafayette, IN, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Of the three subtypes of attention outlined by the attentional subsystems model, alerting (vigilance or arousal needed for task completion) and executive control (the ability to inhibit distracting information while completing a goal) are susceptible to age-related decline, while orienting remains relatively stable. Yet, few studies have investigated strategies that may acutely maintain or promote attention in typically aging older adults. Music listening may be one potential strategy for attentional maintenance as past research shows that listening to happy music characterized by a fast tempo and major mode increases cognitive task performance, likely by increasing cognitive arousal. The present study sought to investigate whether listening to happy music (fast tempo, major mode) impacts alerting, orienting, and executive control attention in 57 middle and older-aged adults (

Indexed as

agingalertingantattentionemotionexecutive controlmusicorienting

Identifiers

PMID36777231
PMCPMC9909555

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.