Evidence map›Paper›PMID 40862573›Full record

ArticleBrain and behavior2025

Altered Basal Ganglia Network Topology Associated With Auditory-Motor Synchronization.

Stéphanie K Lavigne, Jonathan H Burdette, Mohsen Bahrami, Paul J Laurienti, Robert G Lyday, Michael H Thaut

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In one paragraph

Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

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

3 citing papers in PubMed.

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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

6 authors.

Stéphanie K LavigneMusic and Health Science Research Collaboratory, Faculty of Music, University of Toronto, Toronto, Ontario, Canada.ORCID https://orcid.org/0009-0008-2922-5402
Jonathan H BurdetteLaboratory for Complex Brain Networks, Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.ORCID https://orcid.org/0000-0002-5145-3849
Mohsen BahramiLaboratory for Complex Brain Networks, Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.ORCID https://orcid.org/0000-0001-8342-6194
Paul J LaurientiLaboratory for Complex Brain Networks, Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.ORCID https://orcid.org/0000-0001-8871-9658
Robert G LydayLaboratory for Complex Brain Networks, Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.ORCID https://orcid.org/0000-0002-8031-5867
Michael H ThautMusic and Health Science Research Collaboratory, Faculty of Music, University of Toronto, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-8603-8127

Funding

Cerebral Small Vessel Disease and Dementia: Defining Global Resilience and Disruption in Brain NetworksK25AG090707 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Mohsen Bahrami · 2025 to 2026
$273k
NIA NIH HHS K25 AG090707University of Toronto Faculty of MusicWake Forest School of Medicine
6 · The paper itself

Abstract

introductionAuditory-motor synchronization (AMS) embedded in Rhythmic Auditory Stimulation (RAS) is a validated method to improve gait, upper limb function, and motor speech in people with neurologic disorders like Parkinson's disease (PD). Predictable auditory cues optimize spatial movement patterns, and research has suggested that AMS reduces the brain's reliance on dopaminergic (DA) response in the ventral striatum. To gain a mechanistic understanding of the positive clinical outcomes related to AMS, this pilot study investigates the effects of AMS on the basal ganglia network (BGN) using brain network science methods.

methodsFourteen healthy adults (aged 22-37, seven females) completed two fMRI finger tapping tasks, a self-paced continuation (self) task and an auditory-motor synchronized (sync) task, both performed at 1 Hz. Using a modularity analysis of brain network data, we assessed the spatial consistency of the BGN. Additionally, we used a mixed-effects regression framework to test the hypotheses that changes in global and local efficiency are associated with the experimental tasks.

resultsThe spatial consistency of the BGN community was significantly greater in the sync task compared to the self task. Then, the regression model showed a significant change in the BGN's efficiency in the sync task over the self task. Specifically, the probability and the strength of connections between highly efficient nodes were significantly greater, indicating a more synchronized BGN.

conclusionAMS significantly changed the network topology of the BGN compared to no AMS. Specifically, the BGN became more functionally synchronized with AMS due to, mainly, greater network efficiency. These findings contribute to the growing mechanistic knowledge of how the BGN functional connections change with AMS and why AMS is a powerful tool to treat neurologic disorders such as PD.

Indexed as

Auditory PerceptionBasal GangliaNerve NetPsychomotor PerformanceAcoustic StimulationAdultFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysPilot ProjectsYoung Adultauditory–motor synchronizationbasal ganglia networkBOLD fMRIbrain connectivitybrain networksgraph theory

Identifiers

PMID40862573
PMCPMC12381958

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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.