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. 2014 Sep 26;4:6482. doi: 10.1038/srep06482

Acupuncture modulates cortical thickness and functional connectivity in knee osteoarthritis patients

Xiaoyan Chen 1, Rosa B Spaeth 1, Kallirroi Retzepi 1, Daniel Ott 1, Jian Kong 1,a
PMCID: PMC4175730  PMID: 25258037

Abstract

In this study, we investigated cortical thickness and functional connectivity across longitudinal acupuncture treatments in patients with knee osteoarthritis (OA). Over a period of four weeks (six treatments), we collected resting state functional magnetic resonance imaging (fMRI) scans from 30 patients before their first, third and sixth treatments. Clinical outcome showed a significantly greater Knee Injury and Osteoarthritis Outcome Score (KOOS) pain score (improvement) with verum acupuncture compared to the sham acupuncture. Longitudinal cortical thickness analysis showed that the cortical thickness at left posterior medial prefrontal cortex (pMPFC) decreased significantly in the sham group across treatment sessions as compared with verum group. Resting state functional connectivity (rsFC) analysis using the left pMPFC as a seed showed that after longitudinal treatments, the rsFC between the left pMPFC and the rostral anterior cingulate cortex (rACC), medial frontal pole (mFP) and periaquiduct grey (PAG) are significantly greater in the verum acupuncture group as compared with the sham group. Our results suggest that acupuncture may achieve its therapeutic effect on knee OA pain by preventing cortical thinning and decreases in functional connectivity in major pain related areas, therefore modulating pain in the descending pain modulatory pathway.

Osteoarthritis (OA) is a major public health problem among the elderly and is associated with considerable disability1. The knee is one of the most common body locations for OA. A recent analysis of data from the National Health and Nutrition Examination Survey III (NHANES III) indicated that about 35% of women and men aged 60 years and above had radiographic knee OA2.

OA is a complex chronic pain condition due in part to both nociceptive and neuropathic mechanisms3. Previous studies have demonstrated central sensitization in osteoarthritis patients4,5,6, increased activity in the periaqueductal grey (PAG) matter associated with stimulation of the skin in referred pain areas of patients6, and increased regional cerebral blood flow (rCBF) in pain related brain regions including the primary and secondary somatosensory, insula, cingulate cortices, thalamus, amygdala, hippocampus and PAG7, indicating pathology of the central nervous system in knee OA patients.

Despite the high prevalence rate of OA, the treatment of OA is far from satisfactory8,9. Pharmacological treatment of knee OA is often ineffective with unwanted and dangerous side effects9,10. Acupuncture is a component of the “Traditional Chinese Medicine” (TCM) system. Multiple randomized clinical trials have suggested that knee OA patients can benefit from acupuncture treatment9,11,12,13. However, the mechanisms underlying the effects of acupuncture treatment in knee OA patients are still poorly understood.

As a unique treatment modality, studies have shown that acupuncture may produce an analgesic effect through the endogenous descending pain modulatory system14,15,16. Brain imaging studies have also shown that acupuncture needle stimulation17,18,19,20,21 can evoke widespread brain activity changes and modulate the functional connectivity (FC) of the pain processing network22,23,24,25,26,27,28,29, which opens a new window to understand the central mechanism of acupuncture treatment.

In parallel, investigators have found abnormal brain structures30,31,32,33,34,35,36,37 or disrupted FC36,37,38,39,40,41,42 in patients with various chronic pain disorders.

More recently, accumulating evidence suggest that the disrupted brain structure and functional connectivity can be reversed after successful treatment. For instance, Seminowicz and colleagues43 found that cLBP is associated with decreased cortical thickness and abnormal activity during attention-demanding tasks in the dorsal lateral prefrontal cortex (DLPFC). Most intriguingly, after successful treatment of back pain, both cortical thickness and functional connectivity (FC) of the DLPFC were normalized. In another study, the investigators44 found that gray matter volume decreases within the left thalamus in patients with osteoarthritis of the hip; these thalamic volume changes reverse after hip arthroplasty and are associated with decreased pain and increased function.

In the present study, we investigated changes in cortical thickness and functional connectivity in knee OA patients across longitudinal acupuncture treatments. All patients were randomized to receive either verum or sham acupuncture. Using a longitudinal treatment design9, each patient received 6 acupuncture treatments over 4 weeks. We collected brain structure and resting state functional magnetic resonance imaging (fMRI) scans during the first, third and sixth treatments (Supplemental Figure 1a). We also administered the Knee Injury and Osteoarthritis Outcome Score (KOOS)45 before and after the six-session acupuncture treatment period.

Methods

Subjects

The Institutional Review Board at Massachusetts General Hospital approved all study procedures. The experiment was performed in accordance with approved guidelines. All subjects who enrolled in this study provided written informed consent before beginning any study procedure. We debriefed all subjects at the end of the study.

Patient recruitment and inclusion criteria

We recruited acupuncture naïve patients aged 40–70 with a diagnosis of chronic osteoarthritis (OA) in the right and/or left knee from Massachusetts General Hospital (MGH), Brigham and Women's Hospital (BWH) and the greater Boston area.

Subjects exhibiting Grade 2 or Grade 3 OA as defined by the Kellgren-Lawrence Scale used for radiographically grading knee OA were included in the study. We excluded subjects who: 1) had undergone any interventional procedures for knee pain within 6 months prior to enrolling in the study, 2) intended to undergo surgery during the time of involvement in the study, 3) experienced knee pain due to causes other than OA, such as inflammation or malignancy, 4) had received a diagnosis of rheumatoid arthritis or other leg-related pain disorders, 5) were taking opioids, benzodiazepines, or other medications that may influence brain imaging outcomes, or 6) presented MRI contraindications. All enrolled OA patients had an endogenous average pain intensity rating of >2 on the Brief Pain Inventory (BPI) scale at the first visit.

Experimental design

All subjects, regardless of the presence of bilateral or unilateral pain, received treatment on the knee that presented them with the most severe pain. We stratified subjects by knee and randomized them into one of three groups: high dose real acupuncture (6 acupoints), low dose real acupuncture (2 acupoints), or high dose sham acupuncture (6 non-acupoints with Streitberger placebo needles) (Supplemental Figure 1b). Subjects were randomized using a block design generated by a biostatistician blind to the treatment mode. Only the acupuncturist was not blinded. This study was designed to investigate whether the number of needles (acu points) influences the treatment effect. Therefore, we included two groups receiving real acupuncture treatments with different numbers of acu points, but identical stimulation paradigm.

After an initial screening session, each subject engaged in a total of 6 acupuncture treatment sessions in one month (twice per week for the first two weeks, once per week for the last two weeks). Treatments 1, 3 and 6 occurred during a scan session with the patient lying in a 3-Tesla MRI scanner while we acquired fMRI data. All other treatments occurred in our behavioral testing room.

Acupuncture administration

Each acupuncture treatment session lasted about 25 minutes for subjects in both the verum and sham acupuncture groups. The two acupoints selected for the low dose acupuncture group (ST35 and Xi yan (extra point)) were located near the knee. Each acupoint was stimulated a total of twelve times. The high dose acupuncture group received treatment at four additional acupoints (GB34, SP9, GB39 and SP6) (see Supplemental Figure 1c) and each acupoint was stimulated 4 times. The locations of all acupoints were based on the text book of Chinese Acupuncture46. All these points are well documented for the treatment of knee pain9,11,12.

For subjects receiving sham acupuncture, the acupuncturist applied placebo needles47,48,49,50 at six non-acupoints using a paradigm identical to that of the high dose verum needle administration. Rather than penetrating the skin as a verum needle does, the sham needle retracts up the handle shaft when the acupuncturist presses it against the skin. Sham point 1 was located 1.5 cun posterior and inferior to GB4, sham points 2–3 were located 1.5 cun and 3 cun inferior to sham point 1, sham point 4 was located 1 cun posterior to the midpoint of K9 and K10, and sham 5–6 were located 1.5 cun inferior and superior to the sham point 4 respectively. All sham points were located on the lower leg where no meridians pass (Supplemental Figure 1c).

For all treatments, the acupuncturist placed a small plastic ring over the point and secured the ring with a thin strip of sterile plastic tape ensuring patient blindness to the actual site of needle insertion and thus blindness to whether the treatment was verum or sham. During acupuncture, the acupuncturist stimulated one point at a time in a predetermined order, each for 10 seconds with 30-second breaks between each acupoint. (Supplemental Figure 1a). The total treatment and stimulation time for all three groups was the same. We randomized the specific starting acupoint across patients, but held it constant throughout all sessions for each individual patient. For consistency, we kept leg position, acupoint location, and needling parameters (1–2 cm depth for all points, all needles were evenly rotated approximately 120 rotations per minute, we also attempted to produce moderate deqi sensations on a 0–10 scale) constant across groups. In the fMRI sessions, the treatment spanned two 9-minute acupuncture/fMRI scans followed by Massachusetts General Hospital Acupuncture Sensation Scale (MASS) rating.

As a treatment quality control, we measured the deqi sensation evoked by two separate acupuncture stimulation periods, one midway through the treatment and one at the end of the treatment, using the MASS51,52.

Clinical outcomes

We measured clinical outcomes using the KOOS45, which is comprised of 5 subscales: 1) pain, 2) other symptoms, 3) function in daily living (ADL), 4) function in sport and recreation, and 5) knee-related quality of life (QOL). Each subscale allows for calculation of a normalized score, with 0 denoting the most extreme symptoms/pain and 100 denoting no symptoms/pain45. Based on previous studies9, we selected the KOOS pain subscale and function in daily living subscale as our primary outcome measures. We used all other subscale measurements as secondary outcomes. Trained research assistants, blinded to treatment mode, administered the KOOS to all patients at baseline (up to one week prior to the first treatment) and again after the final treatment.

fMRI data acquisition

Each subject participated in three identical fMRI scanning sessions. Scan 1 (treatment 1) and scan 2 (treatment 3) were separated by approximately 7 days; scan 2 and scan 3 (treatment 6) were separated by approximately 18 days. We used a 3-axis gradient head coil in a 3-Tesla Siemens MRI system equipped for echo planar imaging (EPI). Each fMRI session included an anisotropic magnetization prepared rapid gradient-echo (MPRAGE) structural sequence followed by a 6-minute resting state fMRI. The MPRAGE scanning parameters included TR of 2200 ms, echo time of 9.8 ms, flip angle of 7, field-of-view of 230 mm2, slice thickness of 1.2 mm. For the resting state, the scan acquisition included 47 slices with a thickness of 3 mm, a TR of 3000 ms, a TE of 30 ms, flip angle of 85 degrees, field of view of 216 mm2 and a 3 × 3-mm in-plane spatial resolution. Following the first resting state fMRI, we conducted two functional scans during the 25-minute acupuncture administration and a second resting state scan following acupuncture administration (Supplemental Figure 1a).

Data analysis

Brain structure analysis using FreeSurfer

Automated cortical surface reconstruction was performed on the T1 MPRAGE scans in FreeSurfer version 5.1 (http://surfer.nmr.mgh.harvard.edu) using previously described methods53,54,55. Freesurfer's Longitudinal Processing Stream56 was used to analyze the cortical changes between groups. The longitudinal processing stream creates an unbiased within-subject template space and image57 using robust, inverse consistent registration58. The template is used as an estimate to initialize subsequent segmentation processes for each time point, providing within-subject common information regarding anatomical structures. Several processing steps, such as skull stripping, Talaraich transforms, atlas registration as well as spherical surface maps and parcellations are then initialized with common information from this template, something which significantly increases reliability and statistical power56.

Here, the unbiased template was created for each subject using the three T1 MPRAGE scans collected over the course of one month. Any inaccuracies in the reconstruction of white matter and pial surfaces of individual subjects were visually inspected using the template reconstruction. Any inaccuracies identified by visual inspection were manually corrected on the template and applied to each of the three longitudinal scans. Cortical thickness was then computed for each longitudinal scan as the distance between the pial and white matter surfaces at each point across the cortical mantle.

Group analyses were performed by resampling each subject's data to the FreeSurfer average atlas, distributed as a part of the FreeSurfer software package. A standard General Linear Model (GLM) was used to compare the rate of change of cortical thickness between the verum and sham groups at each point across the cortical mantle.

Similar to our previous studies36,37, we used an initial uncorrected threshold of p < 0.005 and smoothed with a Gaussian kernel with a FWHM of 10 mm in group analysis. A threshold of corrected p values (p ≤ 0.05) as obtained by using a Monte Carlo simulation cluster-wise correction with 10000 permutations was further applied.

After computing the cortical thickness of the left posterior medial prefrontal cortex (pMPFC) for all 30 patients, repeated measurements was done to test for interactions between acupuncture mode (verum vs. sham) and time (across all three treatment sessions) using SPSS 18.0 Software (SPSS Inc., Chicago, IL, USA). To eliminate the effect of possible confounding factors, the analysis was repeated using age and duration as covariates of no interest.

Seed based functional connectivity analysis

The fMRI data were preprocessed using Data Processing Assistant for Resting-State fMRI (DPARSF) software (available at: http://rfmri.org/DPARSF)59,60 implemented in a MATLAB suite (Mathworks, Inc, Natick, Massachusetts). The software is based on Statistical Parametric Mapping (SPM8) (http://www.fil.ion.ucl.ac.uk/spm) and Resting-State fMRI Data Analysis Toolkit (http://www.restfmri.net)61.

The fMRI images were slice timing corrected, head-motion corrected, coregistered to respective structural images for each subject, segmented, regressed out 6 rigid body motion, white matter, and CSF signal, normalized by using structural image unified segmentation, and then re-sampled to 3-mm cubic voxels. After linear detrending, data was filtered using typical temporal bandpass (0.01–0.08 Hz) to remove low frequency noise (including slow scanner drifts) and influences of higher frequencies reflecting cardiac and respiratory signals. Finally, similar to our previous study62, the data was smoothed using a full width half maximum of 6 mm.

Functional connectivity analysis for individual subjects was carried out in DPARSF by applying a seed-region approach using the left pMPFC (x = 8, y = 40, z = 39, with 5 mm radius) that showed significant cortical thickness difference between the real and sham acupuncture as seed (see Figure 1a). Next, the averaged time course was obtained from the seed and the correlation analysis was performed in a voxel-wise way to generate the FC map. The correlation coefficient map was converted into Fisher-Z map by Fisher's r-to-z transform to improve the normality by calling functions in REST.

Figure 1. Structural changes after longitudinal treatments (A) The cortical thickness of the left posterior MPFC showed significant interaction between verum and sham groups across three treatment sessions (B) The cortical thickness of left posterior MPFC in sham group decreases across treatment sessions (baseline, week 1 and week 4), while that of verum group stays roughly the same.

Figure 1

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To investigate the functional connectivity of left pMPFC at a group level, individual Fisher-Z functional connectivity maps obtained from the functional connectivity analysis in DPARSF were used in the second level analysis using SPM8 software (available at: http://www.fil.ion.ucl.ac.uk/spm).

To study the modulation effect of acupuncture treatment, we compared the changes in pre-acupuncture treatment 6 and pre-acupuncture treatment 1 in the verum group to that of the sham group. We used pre-acupuncture resting state fMRI to avoid the residual effect of acupuncture needle stimulation63,64. Due to the small sample size of each group (10 patients), we decided to combine the two verum acupuncture groups (low and high dose groups) because 1) the total treatment time, needle stimulation time, and reported sensations were the same in both verum groups, and 2) we found no clinical outcome differences between the two verum acupuncture groups; both verum acupuncture groups trended towards improvement when compared to sham treatment.

Specifically, to explore the difference between verum and sham after longitudinal acupuncture treatments, we input individual Fisher-Z maps from FC analyses for each subject into a full factorial model with two factors. The first factor had two levels (high and low dose verum acupuncture, and sham acupuncture) and the second factor had three levels (treatment 1, treatment 3, and treatment 6). Next, the contrast was created to look at the difference of differences, the first difference is FC changes between pre-acupuncture treatment 6 and pre-acupuncture treatment 1 for verum and sham acupuncture groups respectively, the second difference is FC changes between verum and sham group.

We used an initial threshold of p < 0.005 uncorrected with 10 voxels. We also report corrected p values as obtained from small volume correction in a priori regions of interest at a level of p ≤ 0.05 with FWE peak correction. Coordinates for small volume correction were based on peak coordinates obtained from previous studies on pain processing and pain modulation. The PAG65, the ventral striatum62 were corrected using spheres of 4 mm radius. The anterior MPFC66 and the pregenual rostral anterior cingular cortex (rACC)67 were corrected using spheres of 9 mm radius.

Connectivity Fisher-Z values were extracted from areas surviving small volume correction for all groups and sessions. Repeated measurement was then performed using SPSS 18.0 Software to test for interaction between verum and sham group across treatment sessions. To eliminate the effect of possible confounding factors, all data analysis were repeated using age and duration as covariates of no interest.

Results

Forty-four acupuncture naïve patients (19 females) aged 43–70 with a diagnosis of chronic osteoarthritis in the right and/or left knee participated in the study. Of the 44 patients who enrolled, 30 (13 females) completed all study procedures. Fourteen subjects did not complete the study due to problems with scheduling (6), ineligibility at screening (3), disinterest (2), claustrophobia (1), or inability to adhere to study requirements in scanner (2). Of the 14 subjects who dropped out of the study, four dropped out after randomization (2 from the low dose verum acupuncture group (one due to inability to adhere to study requirements in scanner, one due to schedule conflict) and 2 from the high dose verum acupuncture group (due to schedule conflict)).

Sensation evoked by acupuncture treatment

As a treatment quality control, we measured the deqi sensation evoked by acupuncture treatment using the Massachusetts General Hospital Acupuncture Sensation Scale (MASS)51,52. The average total MASS score (sum of the intensities of each sensation) differed significantly across the acupuncture treatment groups (high (12.95 ± 7.55) vs. low (15.22 ± 11.90) vs. sham (4.82 ± 3.79)) (F(2,27) = 4.21, p = .026). Post hoc analyses showed the following differences: high vs low p = 0.55, high vs sham p = 0.04; low vs sham p = 0.01. These results indicate that verum acupuncture can produce significantly stronger sensations compared to sham acupuncture. There was no significant difference between the high and low dose acupuncture groups. A previous study by our group reported more details regarding the deqi sensations evoked by different treatment modalities in this sample51.

Clinical outcomes

Baseline characteristics for the 30 patients who completed all study procedures are detailed in Table 1. Two sample t-tests indicated no significant differences in clinical outcomes between the high and low dose groups for any of the KOOS subscale changes (post-treatment – pre-treatment) and both of the verum groups showed trends of improvements in the pain and other subscale scores when compared to the sham group (Table 2). Since the treatment duration and stimulation time, acupuncture needle-evoked sensation and the changes of clinical outcomes are similar between the high and low dose verum acupuncture groups, we pooled the data from these two groups to increase our power when comparing the differences between verum and sham acupuncture.

Table 1. Clinical characteristics at baseline and after longitudinal acupuncture treatments.

mean ± SD All High Dose Low Dose Sham
N (F) 30 (13) 10 (2) 10 (7) 10 (4)
Age 58 ± 8 60 ± 9 58 ± 8 54 ± 7
Duration (treated knee, years)* 11 ± 8 10 ± 7 6 ± 6 16 ± 8
Pain Baseline 56 ± 14 59 ± 13 53 ± 9 56 ± 19
  Post-treatment 64 ± 14 70 ± 16 66 ± 11 56 ±12
Symptoms Baseline 53 ± 16 57 ± 19 48 ± 11 54 ± 18
  Post-treatment 58 ± 15 60 ± 20 58 ± 15 55 ± 11
Adjusted Daily Living Baseline 64 ± 15 66 ± 12 61 ± 14 64 ± 20
  Post-treatment 72 ± 16 74 ± 18 76 ± 12 65 ± 15
Function in Sport Baseline 30 ± 23 30 ± 18 31 ± 19† 29 ± 31
  Post-treatment 41 ± 26 49 ± 33 48 ± 18 28 ± 21
Quality of Life Baseline 39 ± 15 42 ± 17 38 ± 14 36 ± 16
  Post-treatment 38 ± 18 44 ± 20 41 ± 16 29 ± 17
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Results reported as mean ± SD. Significant main effect of group (high vs. low vs. sham) indicated by *;

†indicates N = 9 due to one missing KOOS subscale score. Please be noted that greater score on the KOOS indicates improvement.

Table 2. Two sample t-tests of KOOS subscale changes (post-treatment – pre-treatment) across three groups.

Items P value, High dose acu vs low dose acu P value, High dose acu vs sham acu P value, Low dose acu vs sham acu
KOOS pain 0.9 0.07 0.04
KOOS daily living 0.34 0.26 0.06
KOOS symptoms 0.26 0.71 0.13
KOOS sport 0.99 0.11 0.07
KOOS quality of life 1.0 0.11 0.06
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Repeated measurements show that there was a significant interaction between acupuncture mode (verum vs. sham) and time (baseline vs. endpoint) for pain (F(1,28) = 5.596, p = .025, significant after Bonferroni correction) and a trend for function in daily living (F(1,28) = 3.223, p = .083). In addition, we found that secondary outcomes (KOOS subscale score for function in sport (F(1,27) = 4.252, p = .049) and quality of life (F(1, 28) = 4.682, p = .039) showed significant improvement in the real acupuncture group after treatment compared to the sham group.

Cortical thickness analysis: comparing verum to sham group

Of all 30 subjects, 27 (9 in sham acupuncture group) have all brain structure data at three time points for analysis. Cluster analysis showed significant difference between the verum and sham acupuncture groups at left pMPFC (Figure 1a).

To further explore the cortical thickness change in different groups, we extracted the peak vertex of pMPFC in each subjects across three sessions. Results showed that the cortical thickness remained static for the verum group across all three treatments sessions, but decreased for sham group (Figure 1b). Repeated measurements on the extracted data show that there was a highly significant interaction between acupuncture mode (verum vs. sham) and time (across all three treatment sessions) for cortical thickness of left pMPFC (F(2,24) = 7.519, p = 0.003). After control for age and duration, the interaction remains significant (F(2,22) = 7.461, p = 0.003).

Functional connectivity: comparing verum to sham group

Using the left pMPFC that we obtained in structural analysis as a seed, we applied whole brain functional connectivity analysis comparing changes from pre-acupuncture treatment 1 to that of pre-acupuncture treatment 6 between the verum and sham groups. The FWE corrected P value, Fisher-Z value, and peak coordinates for all regions are shown in Table 3. There is significantly stronger connectivity between the left pMPFC and PAG, rACC, anterior MPFC and ventral striatum for verum acupuncture compared to sham acupuncture after longitudinal acupuncture treatment (Figure 2). When extracting the Fisher-Z connectivity values in these regions using the peak coordinates and a 4 mm sphere around the peak for all groups, repeated measurements show that there was a highly significant interaction between acupuncture mode (verum vs. sham) and time (across all three treatment sessions) for PAG (F(2,27) = 8.637, p = 0.001), rACC (F(2,27 = 8.885, p = 0.001), ventral striatum (F(2,27) = 3.931, p = 0.032), and anterior MPFC (F(2,27) = 6.927, p = 0.004). After using age and duration of the disorder as covariates of no interest, and repeat the analysis, all findings remain significant.

Table 3. Regions that show significant functional connectivity changes with left posterior MPFC after longitudinal acupuncture treatment (pre-treatment 6 – pre-treatment 1) comparing acupuncture to sham group.

Brain Region Fisher-Z value Peak coordinate (x, y, z)
PAG 2.64 6, −30, −6
Right Ventral striatum 2.65 −12, 18, −3
Anterior MPFC 3.01 0, 60, −15
Pregenual ACC 3.03 6, 36, −18
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Figure 2. The comparison in FC changes from pre-acupuncture treatment 1 to that of pre-acupuncture treatment 6 between the verum and sham groups indicates that the verum group showed stronger left posterior MPFC connectivity with periaqueductal grey (PAG), the anterior medical prefrontal cortex (aMPFC), rostral anterior congulate cortex (rACC), and ventral striatum (VStri).

Figure 2

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Discussion

In this study, we investigated the effects of longitudinal acupuncture treatment on structural and functional brain changes and clinical outcome measurements in knee OA patients. The results showed that acupuncture treatment can significantly modulate cortical thickness, functional connectivity, and clinical KOOS pain rating in OA patients.

Specifically, we found that the cortical thickness of left pMPFC decreased in sham group, but stayed the same in the verum group (Figure 1a,b). Previous studies68,69,70 have found the region involved in conditioning placebo analgesia. Literature71 suggest that the posterior region of the MPFC seems to be involved in control and monitoring of action. Other studies also suggest that the MPFC may integrate information from the external environment with stored internal representations72, control top-down attention during conflict processing of alternative responses73, and control monitor conflict with subsequent adjustment in performance74,75,76,77.

Cortical thickness, especially that of the frontal region, dramatically declines with age78,79,80,81,82. Also, the cortical thinning process is accentuated in chronic pain population83. Our result suggest that the acupuncture may have prevented the natural rapid cortical thinning process of Knee OA patients by increasing the ability of the left pMPFC to control and modulate one's pain experience, which ultimately decreased the subjects' experience of pain. We observed cortical thickness decrease after one month of treatment, which is comparable in change in brain structure and duration of treatment with other published results43,84,85.

To further explore other brain areas involved in pain modulation, we used the left posterior MPFC obtained from cortical thickness change as a seed for functional connectivity analysis. We found that comparing resting state functional connectivity changes from pre-acupuncture treatment 1 to that of pre-acupuncture treatment 6 between the verum and sham groups, the verum group showed stronger left posterior MPFC connectivity with the PAG, the right ventral striatum, the anterior MPFC, and the pregenual part of rostral ACC than did the sham group after longitudinal acupuncture treatments (Figure 2). When extracting connectivity values from these regions and compared between verum and sham, there is significant interactions between verum and sham across all three sessions for all regions.

Diffusion tensor imaging showed that the pMPFC has strong anatomical and functional connections with the anterior MPFC and ACC86. The MPFC/rACC (including the pre-genual and sub-genual ACC) is a key region involved in the descending pain modulatory system68,87,88,89,90. Studies also have shown that in knee OA patients, the lateral prefrontal cortex, the rACC, the bilateral insula, the parietal operculum, and the limbic cortical areas are involved in altered pain processing in OA7,91. This suggests that the MPFC/rACC is a main area involved in the OA pain circuit. It also forms a core network with the PAG and the RVM (ACC-PAG-RVM network) for pain modulation even in the absence of a painful stimulus90. Recent studies have shown that the functional connectivity fluctuations and structural connectivity between the PAG and the rACC predicted the mind wandering away from pain66.

Ventral striatum is involved in processing many types of rewards including analgesia. Studies have shown the role of ventral striatum/accumbens in anticipation of analgesia92. In a previous study, investigators found that the magnitude opioid analgesia indicated by pain rating changes can be predicted by neuronal response to painful noxious stimuli in nucleus accumbens/ventral striatum before administration of remifentanil93. Taken together, these results highlight the role of reward network such as ventral striatum in opioid related pain modulation.

On top of the structural and functional connectivity changes, we also found that the verum group showed less clinical KOOS pain after acupuncture treatment compared with sham group, indicating acupuncture is an effective method at treating knee OA. In light of the above findings and previous studies14,15,16 on the mechanisms involved in acupuncture analgesia demonstrating the involvement of the pain descending modulatory system, we speculate that by maintaining the structural cortical thickness of the left pMPFC and the connectivity between the left pMPFC and the pregenual rACC, anterior MPFC, right ventral striatum and PAG, the communication between these regions stays intact, which further enhance the pleasantness of rewarding stimuli, and restore the descending modulatory pathway. The ultimate result is improved clinical outcome in knee OA patients.

There are several limitations of this study. First, the sample size is relatively small. However, by combining the two acupuncture groups, we increased the power of the verum group, creating a 2:1 ratio between the verum and sham treatment conditions that will provide additional information on patients receiving active treatment94. All reported main brain imaging results survived the stringent multiple comparison correction. Due to the longitudinal design of the study, we acquired fMRI scans at three time points, which may also increase the power of this study.

Other potential limitations of this study include the potentially confounding effect of factors such as patient age and duration of chronic pain experienced by each patient. To address this concern, we repeated the analysis including age and duration of pain as covariates of no interest and re-analyzed the data. After this analysis, all findings remain significant. Thus, our main results do not change after controlling for these confounding factors. Furthermore, when KOOS pain scores were correlated with age and duration using multiple regression, we did not find any significant correlation. Further studies that include larger sample sizes are needed to validate the findings from our study. Finally, 6 minutes resting fMRI scans may potentially influence the test-retest reliability of seed based functional connectivity result. A longer duration of resting state scan should be applied in future study95.

Conclusion

In this study, we found that verum acupuncture treatment can significantly modulate cortical thickness change, clinical outcome changes and FC associated with chronic pain in knee OA patients. Our findings suggest that verum acupuncture may enhance connectivity in the descending pain modulation pathway through connection with the posterior MPFC. A better understanding of the association in structural changes, FC and clinical outcomes and how treatment can modulate FC will deepen our knowledge and may ultimately lead to the acceptance of acupuncture in the main stream medicine and the development of mechanism-based therapies for treating chronic pain.

Author Contributions

X.Y.C.: data analysis and manuscript preparation; R.B.S.: data collection, data analysis and manuscript preparation; K.R.: data analysis; D.O.: manuscript preparation; J.K.: experimental design, data collection, analysis and manuscript preparation.

Additional Information

Clinical Trial Registration URL: http://clinicaltrials.gov. Unique identifier: NCT01079390

Supplementary Material

Supplementary Information

Supplementary Figure 1

srep06482-s1.pdf (76.5KB, pdf)

Acknowledgments

This work was supported by R21AT004497 (NCCAM), R03AT218317 (NIDA), R01AT006364 (NCCAM) to Jian Kong, R01AT005280 (NCCAM) to Randy Gollub, and P01 AT006663 to Bruce Rosen. There is no conflict of interest for any of the authors. We thank Dr. Martin Reuter from Martino center at Massachusetts General Hospital for his technique support.

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