# Localization of brain networks activated by acupuncture at anatomically adjacent acupoints in healthy participants: neuroimaging evidence and implications for migraine and stroke

## TL;DR

This study uses neuroimaging to show how acupuncture at two nearby points activates different brain networks and neurotransmitter systems, offering insights into their distinct therapeutic effects.

## Contribution

The study introduces a unified connectomic framework to systematically decode acupoint-specific brain activation patterns and their molecular correlates.

## Key findings

- ST36 and GB34 both activate somatomotor, ventral attention, and dorsal attention networks.
- ST36 activation correlates with visual network and specific neurotransmitters like FDOPA and VAChT.
- GB34 activation involves subcortical regions and is linked to a broader range of neurotransmitter systems including dopamine and serotonin.

## Abstract

Neuroimaging investigations reveal heterogeneous acupuncture-induced brain activation patterns. Integrating acupoint-specific activation patterns into a unified connectomic framework enables systematic elucidation of acupoint-specific therapeutic mechanisms through network-level neural decoding.

This study integrated functional connectivity network mapping (FCNM) methodology, canonical brain networks, and neurotransmitter distributions to delineate the distinct cerebral activation profiles of ST36 (Zusanli) and GB34 (Yanglingquan), two acupoints with anatomical proximity but divergent therapeutic indications in healthy controls (HCs).

The neural networks activated by acupuncture at ST36 and GB34 are both composed of widely distributed brain regions. These two acupoints co-activated the somatomotor network, the ventral attention network, and the dorsal attention network. The activation pattern of ST36 additionally emphasizes the visual network, while the activation pattern of GB34 primarily involves subcortical regions. The spatial patterns of activation brain networks of ST36 showed exploratory spatial correlations with the distributions of 6-fluoro-(18F)-L-3,4-dihydroxyphenylalanine (FDOPA), noradrenaline transporter (NET) and vesicular acetylcholine transporter (VAChT) neurotransmitter, while the GB34 were correlated with dopamine D1, dopamine D2, dopamine transporter, FDOPA, NET, N-methyl-D-aspartic acid receptor (NMDA), serotonin transporter (SERT), and VAChT neurotransmitter.

This study delineates the distinct physiological mechanisms of ST36 and GB34 from neuroimaging and molecular perspectives. This discovery not only elucidates acupoint effect specificity through brain network organization but also expands our understanding of acupoint therapeutic mechanisms within the framework of systems neuroscience, providing a scientific basis for the precise application of acupuncture in treating diseases.

Localization of brain networks and spatial distribution of neurotransmitters in ST36 and GB34 following acupuncture in health participants.Diagram illustrating the brain networks and acupuncture points ST36 and GB34. Two human outlines display these points on the legs. A Venn diagram shows overlapping brain networks: Visual and Subcortical, linked to numerous neurotransmitters like FDOPA and NMDA. Acupuncture’s effects on sensorimotor and cognitive functions are concluded below.

Localization of brain networks and spatial distribution of neurotransmitters in ST36 and GB34 following acupuncture in health participants.