ArticleEvidence-based complementary and alternative medicine : eCAM2020
Using Nonlinear Dynamics and Multivariate Statistics to Analyze EEG Signals of Insomniacs with the Intervention of Superficial Acupuncture.
Article in Evidence-based complementary and alternative medicine : eCAM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- A true response of the brain network during electroacupuncture stimulation at scalp acupoints: An fMRI with simultaneous EAS study.Brain and behavior · 2023Trial
- Multi-scale analysis of acupuncture mechanisms for motor and sensory cortex activity based on SEEG data.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- The central regulatory effects of acupuncture in treating primary insomnia: a review.Frontiers in neurology · 2024Review
- Effects of Sleep Reactivity on Sleep Macro-Structure, Orderliness, and Cortisol After Stress: A Preliminary Study in Healthy Young Adults.Nature and science of sleep · 2023Article
- Clinical Experience of Acupuncture Treatment for Non-Alcoholic Fatty Liver Disease.Evidence-based complementary and alternative medicine : eCAM · 2022Review
- Low-Dimensional Dynamics of Brain Activity Associated with Manual Acupuncture in Healthy Subjects.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveAs a noninvasive and nonpharmacological therapeutic approach, superficial acupuncture (SA) is a special method of acupuncture. In this study, using nonlinear dynamics and multivariate statistics, we studied the electroencephalography (EEG) of primary insomnia under SA intervention to investigate how brain regions change.
methodThis study included 30 adults with primary insomnia. They underwent superficial acupuncture at the Shangen acupoint. The EEG signals were collected for 10 minutes at each state, including the resting state, the intervention state, and the postintervention state. The data were conducted using nonlinear dynamics (including approximate entropy (ApEn) and correlation dimension (CD)) and multivariate statistics.
resultThe repeated-measures ANOVA results showed that both ApEn and CD values were not significantly different at the three states (
conclusionSA activated the corresponding brain regions and reduced the complexity of the brain involved. It is feasible to use nonlinear dynamics analysis and multivariate statistics to examine the effects of SA on the human brain.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.