Skip to main content
CenXiv.org
This website is in trial operation, support us!
We gratefully acknowledge support from all contributors.
Contribute
Donate
cenxiv logo > q-bio > arXiv:2503.02500v1

Help | Advanced Search

Quantitative Biology > Neurons and Cognition

arXiv:2503.02500v1 (q-bio)
[Submitted on 4 Mar 2025 ]

Title: The Neural Basis of Groove Sensations: Implications for Music-Based Interventions and Dance Therapy in Parkinson's Disease

Title: 运动节奏感的神经基础:对帕金森病音乐干预和舞蹈治疗的启示

Authors:Chen-Gia Tsai, Chia-Wei Li
Abstract: Groove sensations arise from rhythmic structures that evoke an urge to move in response to music. While syncopation has been extensively studied in groove perception, the neural mechanisms underlying low-frequency groove remain underexplored. This fMRI study examines the role of the mirror neuron system and associated brain regions in processing low-frequency groove. Region-of-interest analysis revealed that amplifying drum and bass components in K-pop songs significantly increased activity in the right posterior inferior frontal gyrus, right inferior/superior parietal lobules, left dorsolateral prefrontal cortex, and bilateral posterior middle/inferior temporal gyrus. These findings suggest that low-frequency grooves engage sensorimotor, executive, and rhythm semantics networks, reinforcing their role in action-related processing. Building on these insights, we propose an enhanced rhythmic auditory stimulation paradigm for Parkinson's disease, incorporating amplified low-frequency rhythmic cues to improve gait synchronization.
Abstract: 节奏感源于能够引发对音乐产生移动冲动的节奏结构。 虽然切分音在节奏感知中已被广泛研究,但低频节奏的神经机制仍研究不足。 这项fMRI研究考察了镜像神经元系统及相关脑区在处理低频节奏中的作用。 感兴趣区域分析显示,在K-pop歌曲中增强鼓和贝斯成分显著增加了右侧后部下额叶皮层、右侧下/上顶叶小叶、左侧背外侧前额叶皮层以及双侧后部中/下颞叶皮层的活动。 这些发现表明,低频节奏激活了感觉运动、执行控制和节奏语义网络,强化了它们在与动作相关处理中的作用。 基于这些见解,我们提出了一种增强的节奏听觉刺激方案,用于帕金森病治疗,结合放大的低频节奏提示以改善步态同步。
Comments: The 4th International Symposium on Music and Health Promotion, April 11-12, Hsinchu, Taiwan
Subjects: Neurons and Cognition (q-bio.NC)
Cite as: arXiv:2503.02500 [q-bio.NC]
  (or arXiv:2503.02500v1 [q-bio.NC] for this version)
  https://doi.org/10.48550/arXiv.2503.02500
arXiv-issued DOI via DataCite

Submission history

From: Chen-Gia Tsai [view email]
[v1] Tue, 4 Mar 2025 11:07:18 UTC (464 KB)
Full-text links:

Access Paper:

    View a PDF of the paper titled
  • View Chinese PDF
  • View PDF
license icon view license
Current browse context:
q-bio.NC
< prev   |   next >
new | recent | 2025-03
Change to browse by:
q-bio

References & Citations

  • NASA ADS
  • Google Scholar
  • Semantic Scholar
a export BibTeX citation Loading...

BibTeX formatted citation

×
Data provided by:

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)
IArxiv Recommender (What is IArxiv?)
  • Author
  • Venue
  • Institution
  • Topic

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
  • About
  • Help
  • contact arXivClick here to contact arXiv Contact
  • subscribe to arXiv mailingsClick here to subscribe Subscribe
  • Copyright
  • Privacy Policy
  • Web Accessibility Assistance
  • arXiv Operational Status
    Get status notifications via email or slack

京ICP备2025123034号