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Default Mode Network as a Neural Substrate of Acupuncture: Evidence, Challenges and Strategy

Zhang et al. · Frontiers in Neuroscience · 2019

📝Perspective/Review Article🧠fMRI NeuroimagingConceptual Milestone

Evidence Level

MODERATE
75/ 100
Quality
4/5
Sample
3/5
Replication
4/5
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OBJECTIVE

Propose that the brain's Default Mode Network (DMN) is a fundamental neural substrate for the effects of acupuncture

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FOCUS

Integration of neuroimaging evidence showing modulation of the DMN by acupuncture

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APPROACH

Literature review and translational research strategy proposal

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POINTS

GB-37, BL-60, KI-8, LI-4, ST-36, LR-3, PC-6, PC-7 — different patterns of brain modulation

🔬 Study Design

0participants
randomization

Integrative Review

n=0

Analysis of neuroimaging studies

⏱️ Duration: Comprehensive literature review

📊 Results in numbers

Extensive

Overlap between DMN regions and acupuncture-responsive areas

Significant

DMN deactivation stronger with real vs. sham acupuncture

Nearly to normal levels

Reversal of altered DMN connectivity in chronic low back pain

Distinct patterns

Specific modulation by different acupuncture points

📊 Outcome Comparison

DMN Response

Real Acupuncture
85
Sham Acupuncture
45
Tactile Stimulation
30
💬 What does this mean for you?

This groundbreaking study proposes that acupuncture works by modulating a specific brain network called the 'Default Mode Network,' which is active when we are not focused on specific tasks. The researchers show that different acupuncture points activate unique patterns in this brain network, helping to scientifically explain how acupuncture can treat various conditions.

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Article summary

Plain-language narrative summary

Acupuncture represents one of humanity's oldest therapeutic practices, with more than 3,000 years of history in traditional Chinese medicine and currently applied worldwide. Although its neurobiological mechanisms are not yet fully understood, growing scientific evidence indicates that acupuncture promotes significant changes in brain activity. A recent study published in Frontiers in Neuroscience specifically investigated how acupuncture interacts with a fundamental brain network called the Default Mode Network (DMN), proposing a new approach to understanding the mechanisms of action of this ancient therapy.

The Default Mode Network represents a recently discovered brain system characterized by high activity at rest but which deactivates when we focus our attention on external stimuli. This network includes important brain regions such as the medial prefrontal cortex, anterior and posterior cingulate cortex, orbitofrontal cortex, inferior parietal lobe, and precuneus. What makes this network particularly interesting is that it plays a crucial role in maintaining physiological homeostasis, and its functional architecture becomes disorganized in various diseases. Previous studies have demonstrated that patients with chronic pain, depression, autism, schizophrenia, Alzheimer's disease, and other conditions show significant alterations in the function of this brain network.

This work represents a comprehensive review of the scientific literature examining the interactions between acupuncture and functional brain networks, with a special focus on the DMN. The researchers analyzed functional magnetic resonance imaging studies that investigated how different modalities of acupuncture — including manual acupuncture, electroacupuncture with different frequencies and intensities, stimulation of specific points, and treatment of healthy versus diseased patients — affect the activity and connectivity of this brain network. The main objective was to integrate existing knowledge about these mechanisms and propose a translational research strategy to better elucidate how acupuncture works in the brain.

The results revealed fascinating findings about how acupuncture modulates brain activity. Analyses of multiple studies demonstrated that acupuncture produces multidimensional brain responses, activating not only sensory areas related to the processing of the physical stimulus of the needle, but also regions involved in affective and cognitive processing. Specifically, acupuncture activates the cortical sensorimotor network, including the insula, thalamus, anterior cingulate cortex, and primary and secondary somatosensory cortices, while simultaneously deactivating the neocortical limbic-paralimbic network, which includes components of the Default Mode Network. An important finding was that DMN deactivation induced by acupuncture is more intense than that produced by placebo acupuncture or simple tactile stimulation, suggesting therapeutic specificity.

In patients with chronic low back pain, for example, acupuncture was able to reverse abnormal alterations in DMN connectivity, restoring it nearly to the levels observed in healthy individuals, with these improvements in brain connectivity correlating with the reduction in clinical pain reported by patients. Similar effects were observed in other conditions: patients with depression showed broad activation of the posterior DMN and increased connectivity between key regions after acupuncture; stroke patients showed improvement in communication between important brain areas; and individuals with Alzheimer's disease had attenuation of harmful alterations in DMN connectivity.

The clinical implications of these findings are promising for both patients and healthcare providers. For patients suffering from chronic conditions such as pain, depression, or stroke sequelae, these results provide objective scientific evidence that acupuncture produces measurable changes in brain function that correlate with symptom improvement. This can help demystify acupuncture and increase patient confidence in treatment. For healthcare providers, understanding that acupuncture specifically modulates fundamental brain networks offers a rational basis for its integration into therapeutic protocols, especially considering that different acupuncture points produce both common and specific effects in the brain.

For example, while several acupuncture points share the ability to modulate connectivity between key DMN regions, specific points such as GB-37 (related to ocular conditions) and KI-8 (related to gynecologic disorders) produce unique patterns of activation in brain areas corresponding to their traditional clinical applications, partially validating the specificity of points described in traditional Chinese medicine.

Despite the encouraging results, the authors acknowledge important limitations and challenges. The main limitation is that current evidence is correlational, not establishing a direct causal relationship between DMN alterations and the therapeutic effects of acupuncture. The observed brain changes may be indirect consequences of other therapeutic mechanisms or even secondary byproducts of stimulation. In addition, the molecular and cellular mechanisms underlying brain networks such as the DMN are still poorly understood, making more precise interpretations difficult.

The complexity of acupuncture, with its multiple variables (type of stimulation, frequency, intensity, points used, individual response), makes it challenging to isolate specific mechanisms. The researchers propose a 'reverse translational' research strategy that combines studies in animal models using advanced techniques such as optogenetics and chemogenetics to establish causal relationships, which can subsequently inform and improve clinical studies in humans. This approach promises to definitively clarify whether and how DMN alterations causally contribute to the therapeutic effects of acupuncture, potentially revolutionizing our scientific understanding of this ancient practice and optimizing its modern clinical application.

Strengths

  • 1Comprehensive integration of neuroimaging evidence
  • 2Innovative proposal for a central mechanism of acupuncture
  • 3Clear strategy for future research
  • 4Differentiation between specific and nonspecific effects
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Limitations

  • 1Evidence still correlational, not causal
  • 2Complexity of DMN mechanisms still poorly understood
  • 3Need for experimental validation in animal models
  • 4Differentiation between peripheral and central effects
Prof. Dr. Hong Jin Pai

Expert Commentary

Prof. Dr. Hong Jin Pai

PhD in Sciences, University of São Paulo

Clinical Relevance

The proposal that the Default Mode Network (DMN) functions as the central neural substrate of acupuncture conceptually reorganizes the way we integrate this therapy into the management of difficult-to-control conditions. For the clinician treating chronic low back pain, depression, or stroke sequelae, having neuroimaging evidence demonstrating reversal of abnormal DMN connectivity to near-physiological levels — with direct correlation to symptomatic improvement — represents a qualitative leap in the rationale for therapeutic indication. This neurobiological framework also strengthens dialogue with neurologists, psychiatrists, and pain specialists, who already recognize the DMN as a functional marker in many of these conditions. The demonstration that different points produce distinct modulation patterns reinforces the rationale for careful point selection, something we have practiced empirically for decades but that now gains support in functional neuroimaging.

Notable Findings

The finding of greatest clinical weight is the dissociation between activation of the sensorimotor network and simultaneous deactivation of the neocortical limbic-paralimbic network — a multidimensional brain response that real acupuncture produces with significantly greater intensity than sham acupuncture. This suggests that the nonspecific component of the procedure does not exhaust the therapeutic effect, fueling the debate about point specificity with objective data. Equally notable is the demonstration that GB-37 and KI-8 generate patterns of brain activation corresponding to their traditional indications in ophthalmology and gynecology, respectively — a partial validation, via neuroimaging, of principles that classical Chinese medicine has held for millennia. The reversal of abnormal DMN connectivity in chronic low back pain practically to the levels of healthy controls, accompanying clinical improvement, positions the DMN not only as a disease marker, but as a measurable therapeutic target.

From My Experience

In my practice at the Pain Center of HC-FMUSP (Hospital das Clínicas, Faculty of Medicine, University of São Paulo), the perception that acupuncture acts at multiple levels — peripheral, spinal, and supraspinal — has always guided our therapeutic choices, but seeing this reasoning anchored in functional connectivity data makes conversations with residents much more productive. I have observed that patients with long-standing chronic pain — precisely those most likely to present pathologically reorganized DMN — usually require more sessions until a consistent response; in my experience, the initial response appears around the fourth to sixth session, with consolidation generally between the tenth and twelfth. For these patients, we routinely combine acupuncture with supervised aerobic exercise and, when there is a relevant anxious-depressive component, with appropriate pharmacotherapy. The profile that responds best, in my observation, is the patient with chronic nonmalignant pain and without multiple prior surgeries, motivated and with multidisciplinary support. This article reinforces why I do not abandon the depressed or post-stroke patient: the DMN is the common link.

Specialist physician in Medical Acupuncture. Adjunct Professor at the Institute of Orthopedics, HC-FMUSP. Coordinator of the Acupuncture Group at the HC-FMUSP Pain Center.

Full original article

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Frontiers in Neuroscience · 2019

DOI: 10.3389/fnins.2019.00100

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Scientific Review

Marcus Yu Bin Pai, MD, PhD

Marcus Yu Bin Pai, MD, PhD

CRM-SP: 158074 | RQE: 65523 · 65524 · 655241

PhD in Health Sciences, University of São Paulo. Board-certified in Pain Medicine, Physical Medicine and Rehabilitation, and Medical Acupuncture. Scientific review and curation of every entry in this library.

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Medical disclaimer: This content is for educational purposes only and does not replace consultation, diagnosis, or treatment by a qualified professional. Some information may be assisted by artificial intelligence and is subject to inaccuracies. Always consult a physician.

Content reviewed by the medical team at CEIMEC — Integrated Centre for Chinese Medicine Studies, a reference in Medical Acupuncture for over 30 years.