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The cerebral mechanism of acupuncture for chronic insomnia with gastrointestinal disorder: protocol for a randomized controlled trial

Abstract

Background

Many patients with chronic insomnia disorder (CID) have gastrointestinal (GI) symptoms. First-line insomnia medications do not treat GI problems. Acupuncture has a comprehensive regulative action on both CID and GI disorder and is receiving increasing attention. Recent studies indicate that both CID and GI diseases may cause abnormal brain activity. However, the neurological mechanism underlying the effect of acupuncture on such diseases is still unclear. The aim of this study is to explore the pathological mechanisms of CID with GI discomfort, as well as the main response characteristics of acupuncture treatment from multiple perspectives using multimodal magnetic resonance imaging (MRI).

Methods

A total of 60 participants with CID and GI disorders will be randomly divided into two groups (real acupuncture group and sham acupuncture group; ratio of 1:1). Patients will receive 20 sessions (five sessions per week) of real acupuncture treatment or sham acupuncture treatment. The primary outcome is the aggregate score on the Pittsburgh Sleep Quality Index. Secondary outcomes are scores on the Gastrointestinal Symptom Rating Scale, Self-Rating Anxiety Scale, and Self-Rating Depression Scale. Multimodal MRI scans and clinical assessments will be performed both at baseline and post-treatment. Another 30 age-, sex-, and education-matched healthy subjects will be recruited as controls and will receive MRI scans and clinical evaluations.

Discussion

This study aims to provide scientific evidence for the mechanism of acupuncture in treating CID with GI disorder using multimodal MRI imaging data on brain structure, function, and metabolism.

Trial registration

Chinese Clinical Trial Registry, ChiCTR1800017092 (URL: http://www.chictr.org.cn/showproj.aspx?proj=27173). Registered on July 11, 2018.

Peer Review reports

Background

Chronic insomnia disorder (CID) is defined as difficulty initiating or maintaining sleep that is associated with daytime consequences and occurs at least three times per week for more than 3 months; CID has a prevalence rate of 5% to 10% [1]. Typical nighttime symptoms include difficulty falling asleep, difficulty maintaining sleep, and waking early [2, 3]. Additional symptoms include fatigue, memory decline, cognitive deficits, and mood disorder [4, 5]. Recent studies have identified a correlation between sleep disturbances and gastrointestinal (GI) diseases [6]. According to a previous survey [2], about 27.5%–33.4% of insomnia patients have concomitant GI symptoms, such as dyspepsia, diarrhea, and constipation. Interestingly, patients with multiple GI symptoms are more likely to have sleep problems [7,8,9]. It has recently been suggested that GI function plays a vital role in sleep [10]. These findings provide new insights into the pathological features and treatment of CID associated with GI.

Pharmacotherapy is the primary recommended treatment for CID, according to the American Academy of Sleep Medicine clinical practice guideline [1]. Although there is evidence for the short-term efficacy of insomnia medications [11, 12], long-term use is associated with the risk of addiction and adverse drug reactions, particularly GI side effects [13]. Therefore, treatments with fewer side effects are needed for this population. Acupuncture is a possible alternative therapy. Multiple studies have shown that acupuncture effectively improves sleep quality [14, 15]. Other studies have found that acupuncture can improve inflammation in gastrointestinal diseases and promote the recovery of gastrointestinal function [16,17,18]. Moreover, acupuncture is more effective than drug therapy in treating insomnia with GI disorder [19, 20]. However, the mechanism underlying the effect of acupuncture on CID with GI symptoms remains to be elucidated.

In recent years, magnetic resonance imaging (MRI) techniques, such as functional magnetic resonance imaging (fMRI), structural magnetic resonance imaging (sMRI), diffusion tensor imaging (DTI), and magnetic resonance spectroscopy (MRS), have been widely used to study the pathophysiological mechanisms of insomnia. Using fMRI, we previously confirmed that the core pathological features of patients with CID are evident in the structural and functional plasticity of the brain [21,22,23,24]. DTI technique is currently the only non-invasive method to effectively observe and track white matter fiber tracts. One study found that compared with healthy people, the fractional anisotropy (FA) value of the anterior internal capsule in insomniacs decreased [25]. Another study also found that the diffusion properties of the right arcuate fasciculus and the superior longitudinal fasciculus, such as the values of FA, mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD), were changed in insomnia patients [26]. By analyzing the diffusion properties of white matter, we can infer the influence mechanism of acupuncture on the white matter of CID patients with GI disorder. MRS is the only non-invasive method that can quantify biochemical substances in the brain [27], and MRS studies have identified abnormal brain metabolic activity in insomnia patients [28, 29]. Such studies have helped to clarify the pathology and treatment mechanisms of CID with GI disorder.

There is growing evidence from MRI studies that acupuncture can restore abnormal brain structure, connections, and metabolism in pathological states [30,31,32]. Both insomnia [33] and GI disease [34] studies have shown that acupuncture can repair abnormal connections in the brain. Previous studies on the mechanism of acupuncture in treating CID have shown that acupuncture affects the activation of brain regions through tactile somatosensory specific stimuli [35, 36]. Acupuncture can regulate the activity of specific brain regions related to sleep experience, such as the prefrontal lobe, temporal lobe, parietal lobule, anterior cingulate, supramarginal gyrus, and precuneus [36,37,38]. In addition, acupuncture can also regulate cerebral blood flow and neurotransmitter levels such as 5-hydroxytryptamine (5-HT), gamma aminobutyric acid/glutamate (GABA/Glu) in the brain of patients with insomnia [39, 40]. At present, neuroimaging technology has become the mainstream means to study the mechanism of acupuncture treatment of CID. However, no studies have focused on the mechanism underlying the effect of acupuncture on CID with GI disorder. Therefore, a multimodal MRI approach combining fMRI, sMRI, DTI, and MRS is needed to explore the main mechanisms by which acupuncture affects CID with GI disorders.

For these reasons, we designed this multimodal neuroimaging trial. The study aims are as follows: (1) to confirm the efficacy of acupuncture for patients with insomnia and GI discomfort by comparing it with sham acupuncture; (2) to explore the central response mechanism underlying the effect of acupuncture on CID with GI disorders, focusing on cerebral structure, function, and metabolism; (3) to explore a possible correlation between brain activity changes and symptom improvement caused by different acupuncture modes.

Methods/design

The protocol was developed in accordance with Standard Protocol Items for Clinical Trials with Traditional Chinese Medicine 2018 [41] and Standards for Reporting Interventions in Clinical Trials of Acupuncture [42].

Study design

This randomized, single-blind, sham-controlled neuroimaging study will be conducted at the affiliated hospital of Chengdu University of Traditional Chinese Medicine (CDUTCM), China. A total of 60 CID patients with GI disorder will be recruited using advertisements on posters and hospital networks. All patients meeting the inclusion criteria will randomly receive either 20 sessions of real acupuncture treatment or 20 sessions of sham acupuncture treatment. A multimodal MRI examination and evaluation will be performed at both baseline and the end of treatment. Additionally, 30 healthy controls (HCs) matched for age, sex, and education level will receive one multimodal MRI scan and a clinical assessment. A flowchart of the trial design is shown in Fig. 1, and the participant timeline is shown in Fig. 2.

Fig. 1
figure 1

Flowchart of the trial. CID, chronic insomnia disorder; GI, gastrointestinal; MRI, magnetic resonance imaging

Fig. 2
figure 2

Time schedule of enrolment, interventions and assessments. Eligible patients will be screened according to inclusion and exclusion criteria. These patients will then sign an informed consent form and undergo a medical examination. Eligible insomniacs will be randomly assigned to either the true or sham acupuncture groups and complete clinical and MRI assessments before treatment. After a 4-week treatment period, these patients will undergo clinical and MRI assessments again. In addition, adverse events will be recorded in the CRFs at any time during treatment. MRI, magnetic resonance imaging; PSQI, Pittsburgh sleep quality index; GSRS, gastrointestinal symptom rating scale; SAS, self-rating anxiety scale; SDS, self-rating depression scale

Recruitment

Study participants will be recruited mainly from outpatient clinics in major hospitals in Chengdu. We will post the recruitment advertisements approved by the ETHICS committee on the poster boards of each hospital and promote them through WeChat software (Tencent Inc., Shenzhen, China). The entire recruitment process will be conducted by researchers (YN Wang and Y Zhao) who are not involved in the treatment process.

Inclusion criteria

Patients diagnosed with CID are eligible to participate in the study. Inclusion criteria are (1) aged between 18 and 65 years, right-handed, any gender; (2) meets the CID diagnostic criteria in the International Classification of Sleep Disorders-Third Edition (ICSD-3) [43], and meets the criteria for spleen and stomach disharmony syndrome in the Clinical Terminology of Traditional Chinese Medical Diagnosis and Treatment—Syndromes (GB/T 16751.2-1997) [44]; (3) Pittsburgh Sleep Quality Index score above 7 (PSQI score > 7); (4) not taking any medication or health care products to improve sleep quality and experienced GI diseases at least 2 weeks before study enrollment; (5) has not participated in other clinical trials within the last month; and (6) agrees to voluntarily participate in the study and signs an informed consent form.

The HCs must meet the following inclusion criteria: (1) passes the neuropsychological tests and reports good sleep quality; (2) no GI symptoms; (3) all physiological indexes within the normal range following a physical examination, and no previous functional or organic disease or head injury; and (4) agrees to voluntarily participate in the study and signs an informed consent form.

Exclusion criteria

Patients with any one of the following criteria will be excluded: (1) any severe conditions of the cardiovascular, cerebrovascular, liver, kidney, and hematopoietic systems; (2) secondary insomnia caused by drugs, cervical spondylosis, or other diseases; (3) history of psychiatric and neurological disorders or head trauma with loss of consciousness; (4) abuse of psychotropic drugs for anxiety and depression or sedative and hypnotic drugs; (5) pregnant, preparing for pregnancy, or lactating; and (6) any MRI contraindications such as claustrophobia, cardiac pacemaker, defibrillator, heart stenting, metal dentures, or intrauterine device.

The exclusion criteria for the HC are the same as for the patients.

Withdrawal criteria

Participants with any of the following conditions will be withdrawn: (1) complications that affect safety, (2) serious adverse events, and (3) unwilling to follow the study protocol for examination and treatment.

Sample size

According to the previous studies [45, 46], the mean difference of PSQI scores between acupuncture and sham acupuncture was at least 2.7. We expect the mean PSQI score to decrease by 4.5 points in the acupuncture group and 1.8 points in the control group after treatment. When α was 0.05, 1-β was 0.9, and standard deviation was 3, the calculated sample size was 27. Given that this is a neuroimaging study, sample size requirements in the neuroimaging field should also be taken into account. At present, there is no accepted standard for the sample size calculation of imaging studies. The requirements of imaging studies [47, 48] and previous similar studies [49, 50] suggest that 12–26 individuals in each group is reasonable sample size for data analysis. To allow for potential problems such as subject dropout and invalid imaging data owing to head movements, a sample of 30 patients in each group is considered reasonable.

Randomization and allocation concealment

A researcher (ZF Shen), who will not be involved in the process of patient recruitment and treatment, will use SAS 9.2 software (SAS Institute Inc., Cary, NC, USA) to generate 60 random numbers and 60 serial numbers. Then, he will divide them into two groups based on random numbers and get the group numbers. These random numbers, serial numbers, and group numbers will be placed in opaque, sealed envelopes. Each sealed envelope will be numbered in sequence and kept in a safe place until the study is complete. If participants met the inclusion and exclusion criteria, envelopes with the same serial number will be opened in the order of enrollment by the same researcher (ZF Shen) and the treatment allocation results will be forwarded to the acupuncturists. Except for the acupuncturists and the researchers who opened the envelopes, neither the participants nor the other researchers would know the participants' groups.

Blinding

The blinding of acupuncturists is quite difficult to achieve [51]. Patients will be told that they would be randomly assigned to one of two effective interventions after enrollment. During the treatment, patients will receive treatment in acupuncture treatment rooms with compartments to avoid relevant communication between patients. Acupuncturists will also be required to keep treatment plans secret. The names of the treatment and control groups will be replaced with meaningless letter combinations to prevent outcome assessors and statisticians from knowing how patients are grouped. Therefore, only patients, outcome assessors, and statisticians will be fully blind in this study.

Interventions

Treatments will be performed by certified acupuncturists with at least 3 years of acupuncture experience. Disposable sterile filiform needles (XingLin acupuncture needle, Φ0.25 × 25 mm/Φ0.25 × 40 mm, Tianjin Yi Peng Medical Instrument Co., Ltd., China) will be used. Both the acupuncture and sham acupuncture treatments will comprise 20 sessions over 4 weeks (five sessions per week).

Real acupuncture group

Patients in the real acupuncture group will receive acupuncture treatment on the acupoints Baihui (DU20), Zhongwan (RN12), and Zusanli (ST36) with disposable sterile filiform needles. All acupoints will be located according to the World Health Organization Standard Acupuncture Locations and are shown in Table 1 and Fig. 3. Needles in DU20 will be inserted 0.5–1 cun (a unit of measurement in acupuncture, 1 cun = 25 mm) using horizontal needling. Needles in RN12 and ST36 will be inserted 0.5–1.5 cun using perpendicular needling after skin disinfection. After the needle enters into the skin, needles will be manipulated by twirling, lifting, and thrusting to generate the sensation of de qi in the local tissue. The experience of de qi is characterized by sensations of numbness, heaviness, or distension felt by the patient. All needles will be retained for 30 min.

Table 1 Acupoint locations for the real acupuncture group
Fig. 3
figure 3

Location of acupoints and sham acupoints. SA, sham acupoint

Sham acupuncture group

The sham acupuncture group will receive a superficial skin penetration treatment at sham acupoints (SA). These SA are located near real acupoints (2 cm lateral from DU20, RN12, and ST36) but do not belong to any known meridian and are not conventional acupoints. The SA locations are shown in Table 2 and Fig. 3.

Table 2 Sham acupoints locations for the sham acupuncture group

Superficial skin penetration at SA, without needle manipulation for de qi, is a common sham acupuncture method used in many acupuncture randomized controlled trials [52]. Patients in this group will undergo an acupuncture procedure similar to the one received by patients in the real acupuncture group.

Concomitant medication

Patients will be advised to avoid medication as much as possible during the study. Following medical ethical principles, if patients’ insomnia symptoms do not significantly improve and they cannot tolerate their insomnia, they may temporarily take sleeping drugs. Except for sleeping drugs, other drugs will be not allowed to be used in the trial. Researchers will record the name, dosage, and time of the drugs taken in detail in the Case Report Form (CRF).

Multimodal MRI data acquisition

MRI examinations will be performed at the MRI Center at the University of Electronic Science and Technology of China using a 3.0 T MRI scanner (GE Discovery MR750, USA) equipped with a standard 8-channel head coil. MRI scans will be assessed at baseline and after 4 weeks. Subjects will be told to eat light food; avoid drinking strong tea, coffee, and wine; and avoid strenuous exercise the day before the scan. To prevent head movements affecting the image, foam pads and towels will be used to hold the head. During the MRI examination, all subjects will wear earplugs and be instructed to relax with their eyes closed and keep their heads clear. The scanning procedure produces a three-dimensional T1 image (3D-T1), a blood oxygenation level-dependent fMRI (BOLD-fMRI), a DTI sequence, and a proton 1H-MRS. The 3D-T1 scanning parameters will be as follows: repetition time (TR)/echo time (TE) = 5.988/1.972 ms, slice thickness = 1 mm, slice number = 154, field of view (FOV) = 256 × 256 mm. The BOLD-fMRI scanning parameters will be as follows: TR/TE = 2000/30 ms, flip angle = 90°, slice number = 35, matrix size = 3.75 × 3.75, FOV = 64 × 64 mm, slice thickness = 4 mm. The DTI data will be obtained using the following parameters: FOV = 240 × 240 mm, TR/TE = 6800/93 ms, matrix size = 128 × 128, and slice thickness = 3 mm with no gap. The proton 1H-MRS asymmetric PRESS sequence includes TE1 = 25 ms, TE2 = 85 ms, TR = 2 s, and a 2 × 2 × 2 cm area of interest on the anterior cingulate gyrus will be selected [29].

Outcome measures

The outcome assessments will be performed at baseline and after 20 treatment sessions. All outcome assessors will be trained in conducting interviews and performing measurements before the study begins and will follow a standard protocol. An overview of the outcome measurement at different time points is shown in Fig. 2.

Primary outcomes

The primary outcomes include MRI indicators and PSQI scale score. This study will focus on the following MRI indicators: the amplitude of low-frequency fluctuation (ALFF), seed-based functional connectivity (FC), cortical thickness, AD, FA, MD, RD, and Glu. ALFF and FC are the most common analysis indicators in fMRI, and their changes can reflect the functional activities of the brain [53]. Cortical thickness is a quantitative index of cortical morphology, which can directly reflect the changes of brain structure [54]. AD, FA, MD, and RD are all important indexes in DTI technology, which can be used to observe the integrity and connectivity of organizational structure [55]. Glu is an excitatory neurotransmitter involved in the occurrence and maintenance of sleep and wakefulness [56].

The PSQI comprises 19 self-evaluation items, among which 18 items generate 7 components. Each component is graded from 0 to 3, and the cumulative score of each component is the total score of PSQI, which ranges from 0 to 21. The PSQI is the most widely used sleep quality rating scale [57].

Secondary outcomes

The Gastrointestinal Symptom Rating Scale (GSRS) [58] will be used to measure GI symptoms.

The Self-Rating Anxiety Scale (SAS) and the Self-Rating Depression Scale (SDS) [59] will be used to assess subjects’ emotional state.

Data management

Clinical data will be managed using printed and electronic CRF accessible only by the research team. The CRF is the original record and cannot be changed at all. It will be kept by a researcher of the research team. At the end of the trial, two researchers will enter data from the CRF into a computer. The Evidence-based Medicine Center of the CDUTCM will regularly monitor the trial data.

Data analysis

Clinical data analysis

Statistical analyses of the clinical data will be performed using SPSS 20.0 statistical software (IBM Corporation, Armonk, NY, USA) and supervised by a skilled statistician blinded to group allocation. The Kolmogorov–Smirnov test will be used to test the normal distribution of continuous variables. Continuous normally distributed data will be reported as means and standard deviations; continuous non-normally distributed data will be expressed as medians with interquartile ranges. Categorical data will be presented as frequencies or percentages.

For the demographic and clinical information at baseline, the chi-squared test or Fisher’s exact test will be used for comparison of dichotomous data. The two-sample t test will be used for normally distributed continuous data or the Mann-Whitney U test for non-normally distributed data. To compare baseline and post-treatment changes in the same group, we will use the paired t test. Covariance analysis using baseline data as covariates will be used to compare the effects of different interventions on continuous data. In addition, gender differences and age differences may influence the data results. Therefore, in order to avoid the influence of gender, age and other factors on the data, we will also adopt covariance analysis, taking gender, age, and other factors as covariates respectively, and conduct covariance analysis with continuous data. A p value < 0.05 will be considered statistically significant.

Imaging data analysis

The fMRI data will be preprocessed and analyzed using SPM12 (http://www.fil.ion.ucl.ac.uk/spm/) and CONN toolbox 18b (https://web.conn-toolbox.org/) with MATLAB 2014b (MathWorks, Inc., Natick, MA, USA). The sMRI data will be analyzed using the VBM toolbox within SPM12. DTI data will be processed using FSL Software on Linux. MRS data will be preprocessed using the commercially available software LCModel spectral-fitting package (version 6.3-1 N; Stephen Provencher, Inc., Oakville, ON, Canada). After standard preprocessing of each imaging modality, the following brain activity information will be calculated to examine the neural response to different treatments: the amplitude of low-frequency fluctuation, group independent component analyses, seed-based functional connectivity, cortical thickness, tract-based spatial statistics, and Glu. Finally, Pearson correlation analysis will be used to assess the association between changes in multimodal neuroimaging features and improvements in clinical outcomes in each group. MRI data from patients who received the drugs will be excluded because of the effects of the combination on brain function during the trial.

Patient safety

During treatment, any adverse events (AEs) will be monitored and recorded in the CRFs throughout the trial. Important AEs in this study would be needle-related AEs, such as bleeding, hematoma, dizziness, infection, neurological symptoms, and fainting. Minor AEs will be treated immediately by the attending acupuncturist. For serious AEs, such as the patient experienced syncope during treatment, the researcher should immediately send the patient to the hospital for emergency treatment, and the research team will also pay appropriate financial compensation to the patient. Any unexpected symptoms during treatment must be recorded in the CRF, regardless of their relationship to the study intervention. For all AEs, the researcher should record them in the CRF and report them to the ethics committee. Severe AEs will be reported to the research ethics committee within 48 h

Patients and public involvement

Patients and the public were not involved in the design and implementation of the study. They were also not asked to advise on the reporting and dissemination of the results.

Quality control

To ensure the quality of the clinical trial research project and control the risk, CDUTCM will arrange quality supervisors to supervise the intervention process, informed consent forms, case reports, and data records of the study every 3 months. At the same time, an independent quality management team will be set up within the research team to supervise all aspects of the implementation of this project and regularly write monitoring reports.

Discussion

Acupuncture is a potential therapy for CID. In recent years, some researchers have used MRI to study the neural mechanisms by which acupuncture treats certain types of insomnia, such as perimenopausal insomnia [60] and shift work sleep disorder [61]. However, there have been few reports on the mechanism of acupuncture in treating insomnia and GI comorbidities. Previous studies have found that acupuncture has a good effect on inflammation of GI diseases [16,17,18], which also provides strong support for the treatment of CID patients with GI diseases with acupuncture. In our protocol, multimodal MRI will be used to explore the pathological mechanism of CID with GI disorder and the main response characteristics of acupuncture therapy for this type of insomnia. There will be several study strengths and limitations.

In the theoretical system of traditional Chinese medicine, insomnia accompanied by GI disorder is a common syndrome. According to the Yellow Emperor’s Canon of Internal Medicine, a famous Chinese medical text, Chinese doctors discovered a link between GI illness and sleep more than 2,000 years ago, and developed the principle of “harmonizing the stomach and mind” [62]. Our acupoint selection protocol is based on this treatment principle, and the selected points DU20, RN12, and ST36 are commonly used acupoints for insomnia associated with GI disorder in acupuncture clinical trials [63]. DU20 improves sleep, and RN12 and ST36 harmonize GI functions. Evidence from clinical trials using the “harmonizing the stomach and mind” principle has confirmed the effectiveness and safety of acupuncture for CID with GI disorder [19, 64, 65]. These acupoints were also presented in a study protocol on the intestinal flora of acupuncture for insomnia and gastrointestinal diseases published by our team [66].

Multimodal MRI will provide technological data to examine the neuropathological mechanism underlying the effect of acupuncture on CID with GI disorder. We first want to explore neuropathological changes in patients with CID and GI disorder from the perspectives of brain structure, function, and metabolism. Our previous study was a preliminary exploration of the pathogenesis of insomnia (rather than CID with GI disorder) in terms of brain function and structure [23, 24, 67]. Other research teams have confirmed that insomnia patients have abnormal brain metabolism using MRS technology [27,28,29]. At present, there are no brain imaging studies on patients with CID and GI disorders. Most studies on insomnia have identified the abnormal brain regions in CID patients as the anterior cingulate gyrus, hippocampus, thalamus, and other regions [68, 69]; these brain regions also feature in GI imaging studies [70]. It remains to be determined whether the structure, function, and metabolism of these brain regions are also changed in CID with GI disorder. Second, we wish to explore the central response mechanism of acupuncture. There is evidence that acupuncture can regulate the neuroplasticity and functional connectivity of abnormal brain regions in other diseases [31, 71], but most studies have used only a single neuroimaging pattern and cannot fully explain the mechanism of acupuncture. Multimodal MRI provides a new way of exploring the mechanism underlying acupuncture. It can examine the mechanism of action in detail from multiple perspectives, which is a more comprehensive approach than the use of single-mode magnetic resonance technology. At present, multimodal MRI has been used to investigate the effect of acupuncture on depression, chronic fatigue syndrome, and other diseases [72,73,74]. In this study, we will use multimodal MRI combined with sMRI, fMRI, DTI, and MRS. Of these techniques, sMRI and DTI can detect structural changes in different brain regions, fMRI can explore changes in functional connections between different brain regions, and MRS can detect changes in different brain metabolites.

To improve the reliability of results and reduce bias, we will incorporate the following quality control measures. First, the inclusion and exclusion criteria will be strictly applied and the subject groups will be matched on age, gender, height, weight, and other variables. Second, previous studies have found that left-handers and right-handers show different signals in the left and right hemispheres of the brain when performing certain tasks, with more activation in the left hemisphere of the brain in right-handed people [75, 76]. In China, there are more right-handed people than left-handed people. Considering the differences in functional signals between the left and right sides of the brain caused by handedness, this study will only include right-handed people. Third, a project workshop manual will be developed. All the members of our team will be trained to use related diagnostic standards, methods, and evaluation forms. Acupuncture will be performed by two equally qualified acupuncture physicians who will only perform acupuncture after passing a training trial agreed by the research group. Fourth, during the MRI scanning process, the participants’ physiological and mental state may affect the accuracy of the MRI data results [77]. Therefore, we will use SAS and SDS scales to assess the participants' mental state before MRI scanning. In addition, participants will also be told to stop drinking stimulating foods such as alcohol and coffee the day before the MRI scan. Finally, all the imaging will be performed by the same experienced imaging professional.

Some study limitations must be noted. First, during the study, subjects will be allowed to take sleeping medications if they cannot tolerate their insomnia. We cannot ethically limit patients’ choices, and therefore can only ask patients to follow the study treatment regimen as closely as they can, and to record the name and dose of any medication they take on the CRF. Therefore, medication use may be a confounding factor that affects the results. However, as this is a randomized controlled trial, we believe that any noise caused by other treatments will mostly be controlled. Second, the study will be performed in only one center. The bias inherent in the collection and analysis of magnetic resonance data may be increased if the study were to be conducted in multiple locations. Therefore, given the existing technical conditions, we can only conduct a single-center study.

In summary, this study will investigate the effectiveness of acupuncture therapy for CID with GI disorder. We seek to provide scientific evidence for the mechanism of acupuncture in treating CID with GI disorder using multimodal MRI imaging data on brain structure, function, and metabolism.

Trial status

Study approval was obtained from the Sichuan Traditional Chinese Medicine Regional Ethics Review Committee, China on May 24, 2018 (protocol version number: 20180425). Clinical registration was completed on July 11, 2018 (Chinese Clinical Trial Registry, ChiCTR1800017092). The trial is still ongoing at the time of manuscript submission. The scheduled start of recruitment was 1 August 2018. The anticipated end of recruitment is August 1, 2020.

Availability of data and materials

Not applicable; no data have yet been generated.

Abbreviations

AD:

Axial diffusivity

AEs:

Adverse events

BOLD-fMRI:

Blood oxygenation level-dependent functional magnetic resonance imaging

CID:

Chronic insomnia disorder

CRF:

Case report form

DTI:

Diffusion tensor imaging

FA:

Fractional anisotropy

FC:

Functional connectivity

FOV:

Field of view

GABA:

Gamma aminobutyric acid

Glu:

Glutamate

GI:

Gastrointestinal

GSRS:

Gastrointestinal symptom rating scale

HCs:

Healthy controls

ICSD-3:

International classification of sleep disorders-third edition

MD:

Mean diffusivity

MRI:

Magnetic resonance imaging

MRS:

Magnetic resonance spectroscopy

PSQI:

Pittsburgh sleep quality index

RD:

Radial diffusivity

SA:

Sham acupoints

SAS:

Self-rating anxiety scale

SDS:

Self-rating depression scale

TR:

Repetition time

TE:

Echo time

5-HT:

5-Hydroxytryptamine

References

  1. Sateia MJ, Buysse DJ, Krystal AD, Neubauer DN, Heald JL. Clinical practice guideline for the pharmacologic treatment of chronic insomnia in adults: an American Academy of Sleep Medicine clinical practice guideline. J Clin Sleep Med. 2017;13(2):307–49. https://doi.org/10.5664/jcsm.6470.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Walsh JK, Coulouvrat C, Hajak G, Lakoma MD, Petukhova M, Roth T, et al. Nighttime insomnia symptoms and perceived health in the America Insomnia Survey (AIS). Sleep. 2011;34(8):997–1011. https://doi.org/10.5665/SLEEP.1150.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Johansson M, Jansson-Fröjmark M, Norell-Clarke A, Linton SJ. The role of psychiatric and somatic conditions in incidence and persistence of insomnia: a longitudinal, community study. Sleep Health. 2016;2(3):229–38. https://doi.org/10.1016/j.sleh.2016.05.004.

    Article  PubMed  Google Scholar 

  4. Buysse DJ. Insomnia. JAMA. 2013;309(7):706–16. https://doi.org/10.1001/jama.2013.193.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  5. Kim SJ, Kim S, Jeon S, Leary EB, Barwick F, Mignot E. Factors associated with fatigue in patients with insomnia. J Psychiatr Res. 2019;117:24–30. https://doi.org/10.1016/j.jpsychires.2019.06.021.

    Article  PubMed  Google Scholar 

  6. Kim SY, Choung RS, Lee SK, Choe JW, Jung SW, Hyun JJ, et al. Self-reported sleep impairment in functional dyspepsia and irritable bowel syndrome. J Neurogastroenterol Motil. 2018;24(2):280–8. https://doi.org/10.5056/jnm17098.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Zhao W, Jin H, Xu M, Wang D, Liu Y, Tang Y, et al. Sleep quality of functional gastrointestinal disorder patients in class-three hospitals: a cross-sectional study in Tianjin, China. Biomed Res Int. 2018;2018:3619748.

    PubMed  PubMed Central  Google Scholar 

  8. Lim SK, Yoo SJ, Koo DL, Park CA, Ryu HJ, Jung YJ, et al. Stress and sleep quality in doctors working on-call shifts are associated with functional gastrointestinal disorders. World J Gastroenterol. 2017;23(18):3330–7. https://doi.org/10.3748/wjg.v23.i18.3330.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Lei WY, Chang WC, Wen SH, Wong MW, Hung JS, Yi CH, et al. Impact of concomitant dyspepsia and irritable bowel syndrome on symptom burden in patients with gastroesophageal reflux disease. J Formos Med Assoc. 2019;118(4):797–806. https://doi.org/10.1016/j.jfma.2018.12.002.

    Article  PubMed  Google Scholar 

  10. Reynolds AC, Broussard J, Paterson JL, Wright KP Jr, Ferguson SA. Sleepy, circadian disrupted and sick: could intestinal microbiota play an important role in shift worker health? Mol Metab. 2017;6(1):12–3. https://doi.org/10.1016/j.molmet.2016.11.004.

    CAS  Article  PubMed  Google Scholar 

  11. Liang L, Huang Y, Xu R, Wei Y, Xiao L, Wang G. Eszopiclone for the treatment of primary insomnia: a systematic review and meta-analysis of double-blind, randomized, placebo-controlled trials. Sleep Med. 2019;62:6–13. https://doi.org/10.1016/j.sleep.2019.03.016.

    Article  PubMed  Google Scholar 

  12. Jaffer KY, Chang T, Vanle B, Dang J, Steiner AJ, Loera N, et al. Trazodone for insomnia: a systematic Review. Innov Clin Neurosci. 2017;14(7-8):24–34.

    PubMed  PubMed Central  Google Scholar 

  13. Hein M, Lanquart JP, Loas G, Hubain P, Linkowski P. Objective sleep alterations and long-term use of short or intermediate half-life benzodiazepine receptor agonists are risk factors for high blood pressure in individuals with insomnia: a study in 1272 individuals referred for sleep examinations. Sleep Med. 2019;53:115–23. https://doi.org/10.1016/j.sleep.2018.08.030.

    Article  PubMed  Google Scholar 

  14. Chen CK, Lin YC, Cheng JW, Pei YC, Liu GH, Chen YL, et al. Effectiveness of laser acupuncture in alleviating chronic insomnia: a single-blinded randomized controlled trial. Evid Based Complement Alternat Med. 2019;2019:8136967.

    PubMed  PubMed Central  Google Scholar 

  15. Lee SH, Lim SM. Acupuncture for insomnia after stroke: a systematic review and meta-analysis. BMC Complement Altern Med. 2016;16(1):228. https://doi.org/10.1186/s12906-016-1220-z.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  16. Li YB. Analysis of clinical literature on acupuncture-moxibustion for dyspepsia based on data mining. J Acupuncture Tuina Sci. 2019;17(4):264–9. https://doi.org/10.1007/s11726-019-1116-9.

    Article  Google Scholar 

  17. Schaible A, Schwan K, Bruckner T, Plaschke K, Büchler MW, Weigand M, et al. Acupuncture to improve tolerance of diagnostic esophagogastroduodenoscopy in patients without systemic sedation: results of a single-center, double-blinded, randomized controlled trial (DRKS00000164). Trials. 2016;17(1):350. https://doi.org/10.1186/s13063-016-1468-0.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Bao CH, Zhao JM, Liu HR, Lu Y, Zhu YF, Shi Y, et al. Randomized controlled trial: moxibustion and acupuncture for the treatment of Crohn's disease. World J Gastroenterol. 2014;20(31):11000–11. https://doi.org/10.3748/wjg.v20.i31.11000.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Liu Y, Lin C, Wu H, Wang X, Zhu Y. Acupuncture treatment of insomnia based on the spleen and stomach theory. Zhongguo Zhen Jiu. 2015;35(8):768–72.

    PubMed  Google Scholar 

  20. Xing J. Systematic evaluation and clinical preliminary study of acupuncture therapy for chronic insomnia. Beijing, China: Beijing University of Chinese Medicine; 2018.

    Google Scholar 

  21. Gong L, Xu R, Qin M, Liu D, Zhang B, Bi Y, et al. New potential stimulation targets for noninvasive brain stimulation treatment of chronic insomnia. Sleep Med. 2020;75:380–7. https://doi.org/10.1016/j.sleep.2020.08.021.

    Article  PubMed  Google Scholar 

  22. Gong L, Yu S, Xu R, Liu D, Dai X, Wang Z, et al. The abnormal reward network associated with insomnia severity and depression in chronic insomnia disorder. Brain Imaging Behav. 2020. https://doi.org/10.1007/s11682-020-00310-w Epub ahead of print. PMID: 32710331.

  23. Yu S, Feng F, Zhang Q, Shen Z, Wang Z, Hu Y, et al. Gray matter hypertrophy in primary insomnia: a surface-based morphometric study. Brain Imaging Behav. 2020;14(5):1309–17. https://doi.org/10.1007/s11682-018-9992-z.

    Article  PubMed  Google Scholar 

  24. Yu S, Shen Z, Lai R, Feng F, Guo B, Wang Z, et al. The orbitofrontal cortex gray matter is associated with the interaction between insomnia and depression. Front Psychiatry. 2018;9:651. https://doi.org/10.3389/fpsyt.2018.00651.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Spiegelhalder K, Regen W, Prem M, Baglioni C, Nissen C, Feige B, et al. Reduced anterior internal capsule white matter integrity in primary insomnia. Hum Brain Mapp. 2014;35(7):3431–8. https://doi.org/10.1002/hbm.22412.

    Article  PubMed  Google Scholar 

  26. Cai W, Zhao M, Liu J, Liu B, Yu D, Yuan K. Right arcuate fasciculus and superior longitudinal fasciculus abnormalities in primary insomnia. Brain Imaging Behav. 2019;13(6):1746–55. https://doi.org/10.1007/s11682-019-00160-1.

    Article  PubMed  Google Scholar 

  27. Bo P. A magnetic resonance spectroscopy imaging study in frontal lobe and hippocampus of patients with primary insomnia. Guangzhou, China: Jinan University; 2013.

    Google Scholar 

  28. Morgan PT, Pace-Schott EF, Mason GF, Forselius E, Fasula M, Valentine GW, et al. Cortical GABA levels in primary insomnia. Sleep. 2012;35(6):807–14. https://doi.org/10.5665/sleep.1880.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Miller CB, Rae CD, Green MA, Yee BJ, Gordon CJ, D'Rozario AL, et al. An objective short sleep insomnia disorder subtype is associated with reduced brain metabolite concentrations in vivo: a preliminary magnetic resonance spectroscopy assessment. Sleep. 2017;40(11):zsx148. https://doi.org/10.1093/sleep/zsx148.

  30. Lei H, Chen X, Liu S, Chen Z. Effect of electroacupuncture on visceral and hepatic fat in women with abdominal obesity: a randomized controlled study based on magnetic resonance imaging. J Altern Complement Med. 2017;23(4):285–94. https://doi.org/10.1089/acm.2016.0361.

    Article  PubMed  Google Scholar 

  31. Wang Z, Nie B, Li D, Zhao Z, Han Y, Song H, et al. Effect of acupuncture in mild cognitive impairment and Alzheimer disease: a functional MRI study. PLoS One. 2012;7(8):e42730. https://doi.org/10.1371/journal.pone.0042730.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  32. Chen J, Huang Y, Lai X, Tang C, Yang J, Chen H, et al. Acupuncture at Waiguan (TE5) influences activation/deactivation of functional brain areas in ischemic stroke patients and healthy people: A functional MRI study. Neural Regen Res. 2013;8(3):226–32. https://doi.org/10.3969/j.issn.1673-5374.2013.03.004.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  33. Zhou Q, Yang DY, Cui X, Yang KR, Li J, Zhao CH. Cerebral fMRI in observation on the therapeutic mechanism of electro-acupuncture on Shenmen and Sanyinjiao for insomnia. Chinese J Interventional Imaging Ther. 2011;8(3):204–7.

    Google Scholar 

  34. Fang J, Wang D, Zhao Q, Hong Y, Jin Y, Liu Z, et al. Brain-gut axis modulation of acupuncture in functional dyspepsia: a preliminary resting-state fcMRI study. Evid Based Complement Alternat Med. 2015;2015:860463.

    PubMed  PubMed Central  Google Scholar 

  35. Fang J, Jin Z, Wang Y, Li K, Kong J, Nixon EE, et al. The salient characteristics of the central effects of acupuncture needling: limbic-paralimbic-neocortical network modulation. Hum Brain Mapp. 2009;30(4):1196–206. https://doi.org/10.1002/hbm.20583.

    Article  PubMed  Google Scholar 

  36. Wang YK, Li T, Ha LJ, Lv ZW, Wang FC, Wang ZH, et al. Effectiveness and cerebral responses of multi-points acupuncture for primary insomnia: a preliminary randomized clinical trial and fMRI study. BMC Complement Med Ther. 2020;20(1):254. https://doi.org/10.1186/s12906-020-02969-6.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  37. Gao L, Zhang M, Gong H, Bai L, Dai XJ, Min Y, et al. Differential activation patterns of FMRI in sleep-deprived brain: restoring effects of acupuncture. Evid Based Complement Alternat Med. 2014;2014:465760.

    PubMed  PubMed Central  Google Scholar 

  38. Zollman FS, Larson EB, Wasek-Throm LK, Cyborski CM, Bode RK. Acupuncture for treatment of insomnia in patients with traumatic brain injury: a pilot intervention study. J Head Trauma Rehabil. 2012;27(2):135–42. https://doi.org/10.1097/HTR.0b013e3182051397.

    Article  PubMed  Google Scholar 

  39. Yang JL, Zhang R, Du L, Yang YS, Liu XC. Clinical observation on the neurotransmitters regulation in patients of insomnia differentiated as yang deficiency pattern treated with warm acupuncture and auricular point sticking therapy. Zhongguo Zhen Jiu. 2014;34(12):1165–8.

    PubMed  Google Scholar 

  40. Yan XK, Zhang Y, Yu L, Yue GL, Li T, Chen C, et al. Effect on tranquilizing and allaying excitement needling method on brain blood flow in the patients of insomnia of heart and spleen deficiency. Zhongguo Zhen Jiu. 2010;30(2):113–6.

    PubMed  Google Scholar 

  41. Dai L, Cheng CW, Tian R, Zhong LL, Li YP, Lyu AP, et al. Standard Protocol Items for Clinical Trials with Traditional Chinese Medicine 2018: recommendations, explanation and elaboration (SPIRIT-TCM Extension 2018). Chin J Integr Med. 2019;25(1):71–9. https://doi.org/10.1007/s11655-018-2999-x.

    Article  PubMed  Google Scholar 

  42. MacPherson H, Altman DG, Hammerschlag R, Li Y, Wu T, White A, et al. Revised STandards for Reporting Interventions in Clinical Trials of Acupuncture (STRICTA): extending the CONSORT statement. Acupunct Med. 2010;28(2):83–93. https://doi.org/10.1136/aim.2009.001370.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Medicine American Academy of Sleep. International classification of sleep disorders. 3rd ed. Darien, IL: American Academy of Sleep Medicine; 2014.

    Google Scholar 

  44. State Bureau of Technical Supervision of China. The state standard of the People’s Republic of China—TCM clinical diagnosis and treatment terms: the syndrome part. Beijing: China Standards Press; 1997.

    Google Scholar 

  45. Guo J, Yu S, Liu C, Wang G, Li B. Acupuncture for patients with insomnia disorder using resting-state functional magnetic resonance imaging: a protocol for a randomized controlled trial. Trials. 2019;20(1):685. https://doi.org/10.1186/s13063-019-3836-z.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  46. Zhang L, Tang Y, Hui R, Zheng H, Deng Y, Shi Y, et al. The effects of active acupuncture and placebo acupuncture on insomnia patients: a randomized controlled trial. Psychol Health Med. 2020;25(10):1201–15. https://doi.org/10.1080/13548506.2020.1738015.

    Article  PubMed  Google Scholar 

  47. Hanspach J, Nagel AM, Hensel B, Uder M, Koros L, Laun FB. Sample size estimation: current practice and considerations for original investigations in MRI technical development studies. Magn Reson Med. 2021;85(4):2109–16. https://doi.org/10.1002/mrm.28550.

    Article  PubMed  Google Scholar 

  48. McLaren CE, Chen WP, O'Sullivan TD, Gillen DL, Su MY, Chen JH, et al. Sample size and power determination when limited preliminary information is available. BMC Med Res Methodol. 2017;17(1):75. https://doi.org/10.1186/s12874-017-0329-1.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  49. Yeo S, Choe IH, van den Noort M, Bosch P, Jahng GH, Rosen B, et al. Acupuncture on GB34 activates the precentral gyrus and prefrontal cortex in Parkinson's disease. BMC Complement Altern Med. 2014;14(1):336. https://doi.org/10.1186/1472-6882-14-336.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Yan CQ, Wang X, Huo JW, Zhou P, Li JL, Wang ZY, et al. Abnormal global brain functional connectivity in primary insomnia patients: a resting-state functional MRI study. Front Neurol. 2018;9:856. https://doi.org/10.3389/fneur.2018.00856.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Zhao L, Li D, Zheng H, Chang X, Cui J, Wang R, et al. Acupuncture as adjunctive therapy for chronic stable angina: a randomized clinical trial. JAMA Intern Med. 2019;179(10):1388–97. https://doi.org/10.1001/jamainternmed.2019.2407.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Hershman DL, Unger JM, Greenlee H, Capodice JL, Lew DL, Darke AK, et al. Effect of acupuncture vs sham acupuncture or waitlist control on joint pain related to aromatase inhibitors among women with early-stage breast cancer: a randomized clinical trial. Jama. 2018;320(2):167–76. https://doi.org/10.1001/jama.2018.8907.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Zhou F, Huang S, Zhuang Y, Gao L, Gong H. Frequency-dependent changes in local intrinsic oscillations in chronic primary insomnia: a study of the amplitude of low-frequency fluctuations in the resting state. Neuroimage Clin. 2017;15:458–65. https://doi.org/10.1016/j.nicl.2016.05.011.

    Article  PubMed  Google Scholar 

  54. Vuksanović V. Cortical thickness and functional networks modules by cortical lobes. Neuroscience. 2019;423:172–6. https://doi.org/10.1016/j.neuroscience.2019.10.038.

    CAS  Article  PubMed  Google Scholar 

  55. Aoki Y, Yoncheva YN, Chen B, Nath T, Sharp D, Lazar M, et al. Association of white matter structure with autism spectrum disorder and attention-deficit/hyperactivity disorder. JAMA Psychiatry. 2017;74(11):1120–8. https://doi.org/10.1001/jamapsychiatry.2017.2573.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Benson KL, Bottary R, Schoerning L, Baer L, Gonenc A, Eric Jensen J, et al. (1)H MRS measurement of cortical GABA and glutamate in primary insomnia and major depressive disorder: relationship to sleep quality and depression severity. J Affect Disord. 2020;274:624–31. https://doi.org/10.1016/j.jad.2020.05.026.

    CAS  Article  PubMed  Google Scholar 

  57. Mollayeva T, Thurairajah P, Burton K, Mollayeva S, Shapiro CM, Colantonio A. The Pittsburgh sleep quality index as a screening tool for sleep dysfunction in clinical and non-clinical samples: a systematic review and meta-analysis. Sleep Med Rev. 2016;25:52–73. https://doi.org/10.1016/j.smrv.2015.01.009.

    Article  PubMed  Google Scholar 

  58. Kulich KR, Madisch A, Pacini F, Piqué JM, Regula J, Van Rensburg CJ, et al. Reliability and validity of the Gastrointestinal Symptom Rating Scale (GSRS) and Quality of Life in Reflux and Dyspepsia (QOLRAD) questionnaire in dyspepsia: a six-country study. Health Qual Life Outcomes. 2008;6(1):12. https://doi.org/10.1186/1477-7525-6-12.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Dunstan DA, Scott N, Todd AK. Screening for anxiety and depression: reassessing the utility of the Zung scales. BMC Psychiatry. 2017;17(1):329. https://doi.org/10.1186/s12888-017-1489-6.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Wu X, Zhang W, Qin Y, Liu X, Wang Z. Effect of acupuncture and its influence on cerebral activity in perimenopausal insomniacs: study protocol for a randomized controlled trial. Trials. 2017;18(1):377. https://doi.org/10.1186/s13063-017-2072-7.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Ning Y, Liu X, Yao H, Chen P, Li X, Jia H. The fMRI study for acupuncture on shift work sleep disorder: Study protocol for a randomized controlled neuroimaging trial. Medicine (Baltimore). 2020;99(36):e22068. https://doi.org/10.1097/MD.0000000000022068.

    Article  Google Scholar 

  62. Wang WL, Liu JW, Chen LG, Wang CG, Zhang YH. Application of “disharmony of stomach leads to insomnia” theory in acupuncture treatment for insomnia. Zhongguo Zhen Jiu. 2014;34(12):1228–30.

    CAS  PubMed  Google Scholar 

  63. Chen YH. Discussion on the law of acupuncture point selection in the treatment of insomnia. Guangzhou, China: Guangzhou University of Chinese Medicine; 2015.

    Google Scholar 

  64. Feng WT. Clinical effect observation of acupuncture combined with massage in treating insomnia of the spleen and stomach disharmony type. China Foreign Med Treatment. 2017;36(1):170–2.

    Google Scholar 

  65. Wang ZH. Clinical observation of acupuncture and massage in treating insomnia of spleen-stomach disharmony. China's Naturopathy. 2019;27(3):21–2.

    Google Scholar 

  66. Huangfu YR, Peng W, Guo BJ, Shen ZF, Li L, Liu SW, et al. Effects of acupuncture in treating insomnia due to spleen-stomach disharmony syndrome and its influence on intestinal microbiome: study protocol for a randomized controlled trial. J Integr Med. 2019;17(3):161–6. https://doi.org/10.1016/j.joim.2019.01.007.

    Article  PubMed  Google Scholar 

  67. Yu S, Guo B, Shen Z, Wang Z, Kui Y, Hu Y, et al. The imbalanced anterior and posterior default mode network in the primary insomnia. J Psychiatr Res. 2018;103:97–103. https://doi.org/10.1016/j.jpsychires.2018.05.013.

    Article  PubMed  Google Scholar 

  68. Tahmasian M, Noori K, Samea F, Zarei M, Spiegelhalder K, Eickhoff SB, et al. A lack of consistent brain alterations in insomnia disorder: An activation likelihood estimation meta-analysis. Sleep Med Rev. 2018;42:111–8. https://doi.org/10.1016/j.smrv.2018.07.004.

    Article  PubMed  PubMed Central  Google Scholar 

  69. Wang T, Yan J, Li S, Zhan W, Ma X, Xia L, et al. Increased insular connectivity with emotional regions in primary insomnia patients: a resting-state fMRI study. Eur Radiol. 2017;27(9):3703–9. https://doi.org/10.1007/s00330-016-4680-0.

    Article  PubMed  Google Scholar 

  70. Zeng F, Lan L, Tang Y, Liu M, Liu X, Song W, et al. Cerebral responses to puncturing at different acupoints for treating meal-related functional dyspepsia. Neurogastroenterol Motil. 2015;27(4):559–68. https://doi.org/10.1111/nmo.12532.

    CAS  Article  PubMed  Google Scholar 

  71. Maeda Y, Kim H, Kettner N, Kim J, Cina S, Malatesta C, et al. Rewiring the primary somatosensory cortex in carpal tunnel syndrome with acupuncture. Brain. 2017;140(4):914–27. https://doi.org/10.1093/brain/awx015.

    Article  PubMed  PubMed Central  Google Scholar 

  72. Tang LW. A multimodel MRI study of central mechanism in acupuncture for cognitive function of CFS. Chengdu, China: Chengdu University of TCM; 2015.

    Google Scholar 

  73. Li J. A study on the mechanism of acupuncture anti-depression based on multimodal analysis of magnetic resonance. Beijing, China: Beijing University of Chinese Medicine; 2017.

    Google Scholar 

  74. You Y, Bai L, Dai R, Cheng H, Liu Z, Wei W, et al. Altered hub configurations within default mode network following acupuncture at ST36: a multimodal investigation combining fMRI and MEG. PLoS One. 2013;8(5):e64509. https://doi.org/10.1371/journal.pone.0064509.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  75. Li J, Zhang L, Meng H, Li P, Liu GZH. Analysis of the brain network activity of left- and right-handed persons performing imaginary hand motions. J Med Imaging Health Inform. 2017;7(7):1594–601. https://doi.org/10.1166/jmihi.2017.2171.

    Article  Google Scholar 

  76. Cabinio M, Blasi V, Borroni P, Montagna M, Iadanza A, Falini A, et al. The shape of motor resonance: right- or left-handed? Neuroimage. 2010;51(1):313–23. https://doi.org/10.1016/j.neuroimage.2010.01.103.

    Article  PubMed  Google Scholar 

  77. Davis TS, Mauss IB, Lumian D, Troy AS, Shallcross AJ, Zarolia P, et al. Emotional reactivity and emotion regulation among adults with a history of self-harm: laboratory self-report and functional MRI evidence. J Abnorm Psychol. 2014;123(3):499–509. https://doi.org/10.1037/a0036962.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We acknowledge the help and contributions from the experts, acupuncturists, and researchers who helped design this study. We thank all patients and healthy subjects for participating in this study. We also thank Diane Williams, PhD, from Liwen Bianji, Edanz Group China (www.liwenbianji.cn/ac), for editing the English text of a draft of this manuscript.

Ancillary and post-trial care

At the end of the trial, each patient in the trial will be paid RMB200, and each participant in the healthy group will be paid RMB100. For patients with adverse events, we will also bear their additional treatment costs.

Dissemination policy

The authors will report the results in writing to the Department of Science and Technology in Sichuan Province, China, which funded the study, after the trial is complete. The main research results will be published in public journals. Data involving patients’ personal information will not be published publicly.

Funding

This study is funded by the Sichuan Provincial Science and Technology Department project in China (No.2018JY0249 and No. 2021YJ0176), the Chengdu University of Traditional Chinese Medicine Xinglin Scholar Discipline Talent Research and Improvement Plan (No. BSH2019011), and the National Natural Science Foundation of China (No. 81973961). The sponsor has no role in the study design, data collection, data analysis, and publication.

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Authors and Affiliations

Authors

Contributions

YPH and SSY conceived the study and acquired the funding in China. WP, XJH, YRHF, ZS, FF, ZFS, BJG, and LXZ helped to improve the study design. WS and LG developed the data analysis plan. WP drafted the manuscript of this protocol. XJH, YNW, YZ, TMZ, SSY, and YPH critically revised the manuscript. All authors have read and approved the final manuscript.

Corresponding authors

Correspondence to Youping Hu or Siyi Yu.

Ethics declarations

Ethics approval and consent to participate

This study has been approved by the Sichuan Traditional Chinese Medicine Regional Ethics Review Committee (No.2018kl-041) in China. This study determined the informed consent in accordance with the relevant requirements of the declaration of Helsinki. The participant or his or her agent shall have the right to know the purpose, method and implementation of the study. All subjects are required to sign informed consent before the start of the clinical trial. The participants’ personal data will be kept confidential throughout the study and only available to the research team. Any changes to the protocol will be reported to the Sichuan Traditional Chinese Medicine Regional Ethics Review Committee and will be applied to the clinical registry for protocol changes.

Consent for publication

No personal data will be published. It can be obtained from the corresponding author upon reasonable request.

Competing interests

The authors declare that they have no competing interests.

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Supplementary Information

Additional file 1.

Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) 2013 Checklist: Recommended items to address in a clinical trial protocol and related documents.

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Peng, W., Hong, X., Huangfu, Y. et al. The cerebral mechanism of acupuncture for chronic insomnia with gastrointestinal disorder: protocol for a randomized controlled trial. Trials 22, 386 (2021). https://doi.org/10.1186/s13063-021-05332-3

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Keywords

  • Chronic insomnia disorder
  • Gastrointestinal disorder
  • Multimodal magnetic resonance imaging
  • Acupuncture