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Systemic neurophysiological entrainment to behaviorally relevant rhythmic stimuli. | LitMetric

AI Article Synopsis

  • The study looks at how our brain and body's rhythms, like our heartbeat and breathing, respond to sounds in different ways.
  • Researchers tested this by measuring signals from our nervous systems while people listened to sounds in three different situations: no sound, listening passively, and actively trying to tell the sounds apart.
  • They found that when people actively engaged with sounds, their brain and body rhythms synchronized with the music, which helped them react quicker and better.

Article Abstract

Physiological oscillations, such as those involved in brain activity, heartbeat, and respiration, display inherent rhythmicity across various timescales. However, adaptive behavior arises from the interaction between these intrinsic rhythms and external environmental cues. In this study, we used multimodal neurophysiological recordings, simultaneously capturing signals from the central and autonomic nervous systems (CNS and ANS), to explore the dynamics of brain and body rhythms in response to rhythmic auditory stimulation across three conditions: baseline (no auditory stimulation), passive auditory processing, and active auditory processing (discrimination task). Our findings demonstrate that active engagement with auditory stimulation synchronizes both CNS and ANS rhythms with the external rhythm, unlike passive and baseline conditions, as evidenced by power spectral density (PSD) and coherence analyses. Importantly, phase angle analysis revealed a consistent alignment across participants between their physiological oscillatory phases at stimulus or response onsets. This alignment was associated with reaction times, suggesting that certain phases of physiological oscillations are spontaneously prioritized across individuals due to their adaptive role in sensorimotor behavior. These results highlight the intricate interplay between CNS and ANS rhythms in optimizing sensorimotor responses to environmental demands, suggesting a potential mechanism of embodied predictive processing.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11461278PMC
http://dx.doi.org/10.14814/phy2.70079DOI Listing

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