4.6 Article

Low-Dimensional Dynamics of Brain Activity Associated with Manual Acupuncture in Healthy Subjects

Journal

SENSORS
Volume 21, Issue 22, Pages -

Publisher

MDPI
DOI: 10.3390/s21227432

Keywords

acupuncture; EEG; dimensionality; neural subspace; latent variables; attractor

Funding

  1. National Natural Science Foundation of China [62071324, 61871287, 61471265]

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Acupuncture, an ancient traditional medical treatment, has been hypothesized to have effects mediated through autonomic neural networks. Experimental results show that manual acupuncture stimulation can reduce brain activity dimensionality, enhance oscillatory activity, and lead to similar dynamic attractors in response to acupuncture stimuli across subjects. These findings shed light on the large-scale brain response to manual acupuncture.
Acupuncture is one of the oldest traditional medical treatments in Asian countries. However, the scientific explanation regarding the therapeutic effect of acupuncture is still unknown. The much-discussed hypothesis it that acupuncture's effects are mediated via autonomic neural networks; nevertheless, dynamic brain activity involved in the acupuncture response has still not been elicited. In this work, we hypothesized that there exists a lower-dimensional subspace of dynamic brain activity across subjects, underpinning the brain's response to manual acupuncture stimulation. To this end, we employed a variational auto-encoder to probe the latent variables from multichannel EEG signals associated with acupuncture stimulation at the ST36 acupoint. The experimental results demonstrate that manual acupuncture stimuli can reduce the dimensionality of brain activity, which results from the enhancement of oscillatory activity in the delta and alpha frequency bands induced by acupuncture. Moreover, it was found that large-scale brain activity could be constrained within a low-dimensional neural subspace, which is spanned by the acupuncture mode . In each neural subspace, the steady dynamics of the brain in response to acupuncture stimuli converge to topologically similar elliptic-shaped attractors across different subjects. The attractor morphology is closely related to the frequency of the acupuncture stimulation. These results shed light on probing the large-scale brain response to manual acupuncture stimuli.

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