Graph theory analysis of induced neural plasticity post-Acceptance and Commitment Therapy for chronic pain
Open accessPreprint — published as 10.3390/brainsci11010010 · Paper page
Abstract
Chronic musculoskeletal pain affects the lives of over 50 million individuals in the United States, at a cost of more than $550 billion each year. Chronic pain leads to functional brain changes within those suffering from the condition. Not only does the primary pain network transform as the condition changes from acute to persistent pain, a state of hyper-connectivity also exists between the default mode, frontoparietal, and salience networks. Graph theory analysis has recently been used to investigate treatment-driven brain network changes. For example, current research suggests that Acceptance and Commitment Therapy (ACT) may reduce the chronic pain associated hyper-connectivity between the default mode, frontoparietal, and salience networks, as well as within the salience network. This study extended previous work by examining the associations between the three networks above and a meta-analytically derived pain network. Results indicate decreased connectivity within the pain network (including left putamen, right insula, left insula, and right thalamus) in addition to triple network connectivity changes after the four-week Acceptance and Commitment therapy intervention.
AI snapshot
Written from the paper’s full text.
TL;DR
This study used graph-theory Network-Based Statistic analysis of resting-state fMRI to test whether a four-week Acceptance and Commitment Therapy (ACT) intervention changed connectivity in the default mode, frontoparietal, salience, and meta-analytically derived pain networks in chronic musculoskeletal pain. It reports decreased connectivity within and across these networks post-ACT, including pain-network nodes such as left putamen, bilateral insula, and right thalamus.
Key findings
- Among the 101 DMN/FPN/SN nodes, ACT was associated with reduced connectivity in a subset of 10 nodes connected by 10 edges (t > 2.5, p = 0.05).
- When the 10 previously identified triple-network nodes were combined with 7 pain-network nodes (17 total), NBS showed lowered connectivity across 7 nodes and 6 edges (t > 2.5, p = 0.004).
- In the full analysis of 108 nodes (101 triple-network plus 7 pain nodes), ACT was associated with decreased connectivity across 31 nodes and 34 edges (t > 3.4, p = 0.036).
- Pain-network nodes involved in decreased functional connections included the left putamen, right insula, left insula, and right thalamus; no increases in connectivity were observed in any NBS test.
Methods
- Nine female participants (age 47.59 ± 16.54 years; eight right-handed) with chronic musculoskeletal pain for at least three months and Brief Pain Inventory pain interference ≥4 completed eight 90-minute twice-weekly group ACT sessions over four weeks.
- Resting-state fMRI was collected pre-treatment and within two weeks post-treatment on a Siemens 3T Magnetom Prisma scanner; data were preprocessed in SPM12, parcellated into DMN, FPN, and SN regions from the Power atlas, and combined with a seven-node pain network derived from a meta-analysis using activation likelihood estimation and meta-analytic connectivity modeling.
- Functional connectivity changes were assessed with the Network-Based Statistic using 10,000 permutations and one-tailed t-tests across multiple thresholds, testing both increases and decreases pre- to post-ACT.
Limitations
- The paper states limitations including small sample size, variability in individual pain experiences and age, a sample limited to white female participants, possible selection bias, lack of a control group, and limited documentation of long-term ACT effects without follow-up retention data.
- Evident from the text: the study analyzed only nine completers, all female, with no healthy control comparison and no post-treatment follow-up beyond the second scan, so findings are preliminary and not generalizable across genders or to controlled treatment comparisons.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
12 of 19 cited sources checked · 0 supported · 2 flagged · accuracy not yet measured
- Premisecitation
Chronic pain is associated with elevated functional connectivity among the DMN, FPN, and SN.
“Not only does each network independently demonstrate changes in functional connectivity in response to different types of chronic pain stimuli, it has been demonstrated that there is elevated functional connectivity among the DMN, FPN, and SN in individuals suffering from CMP [12,13,14,15,16,17,18].”
Quote in the paperSubstantial claim6 of 7 sources checked- cites [12] source
- cites [13] source
The Results (Network decomposition) report alterations in the DMN, salience, and attentional networks across chronic pain conditions, but these are gray-matter findings, not evidence of elevated functional connectivity among the DMN, FPN, and SN. The Results (Resting-state connectivity maps) describe connectivity between insular regions and the DMN or salience network in healthy volunteers, including anticorrelations; they do not establish the claimed elevation in people with chronic pain. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [14] 2016, Abnormal cross-network functional connectivity in chronic pain and its association with clinical symptoms, Brain Structure and Function source
The Results (§3.2; page unavailable) report stronger anticorrelation—not elevated positive connectivity—between the salience-network seed and default-mode regions in patients with chronic knee osteoarthritis. They also report reduced central-executive-network connectivity in a cluster that the Discussion (§4; page unavailable) places largely within the salience network. The paper therefore does not demonstrate elevated connectivity among the three networks. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites [15] Higham, D.J. , & Higham, N.J. (2016). MATLAB guide (Vol. 150). Siam. source
The Conclusion and the Discussion section on inter-network connectivity report associations between mindfulness and connectivity among the DMN, salience network, and central executive network. A search for chronic pain, CMP, and elevated connectivity found no passage in our copy addressing connectivity among these networks in people with chronic pain. The cited paper therefore does not verify the chronic-pain claim. (LLM, conf=0.77)
Experimental — accuracy not yet measured - cites [16] 2019, Chronic pain in adults with sickle cell disease is associated with alterations in functional connectivity of the brain, PLOS ONE source
The Results (page unavailable) report elevated connectivity within the DMN and right executive attention network—a frontoparietal network—in fibromyalgia, as well as increased connectivity between each of those networks and the insula with greater spontaneous pain. The paper does not evaluate the salience network as a network or demonstrate elevated connectivity among all three networks. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [17] source
The Discussion reports increased DMN–SN connectivity in chronic widespread pain patients with higher pain sensitivity, and the Conclusion says this increase is modulated by pain sensitivity. The Methods define and analyze DMN and SN nodes, but not the FPN; this paper therefore does not support elevated connectivity among all three networks. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [18] 2013, Default mode network functional connectivity altered in failed Back surgery syndrome, The Journal of Pain source
The Results (‘Altered FNCs in PSPD patients’) report reduced connectivity between the right FPN and SN, not elevated connectivity. The study concerns persistent somatoform pain disorder, and its reported increases involve the sensorimotor network rather than connectivity among the DMN, FPN, and SN. (LLM, conf=0.87)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
Activation of the left putamen, right insula, left insula, and right thalamus has been linked to thoughts of helplessness, pessimism, and rumination in chronic musculoskeletal pain.
“Activation of these regions has been linked to thoughts of helplessness, pessimism, and rumination in the instance of CMP [40].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [40] 2019, Chronic widespread pain patients show disrupted cortical connectivity in default mode and salience networks, modulated by pain sensitivity, Journal of Pain Research source
The Results (pages unavailable) describe insular activation during noxious heat stimulation, while the Discussion describes thalamic deactivation associated with reduced pain unpleasantness during meditation. Our copy does not link the named regions to helplessness, pessimism, or rumination in chronic musculoskeletal pain; searches for those terms and for putamen and chronic pain found no such passage. (LLM, conf=0.77)
Experimental — accuracy not yet measured
- Premisecitation
Aytur and colleagues' results suggest that heightened connectivity between the triple network returned to a lower, healthier level of connectivity post-ACT.
“Those results suggest that levels of heightened connectivity between the triple network returned to a lower, healthier level of connectivity post-ACT.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [21] Mano, H. , Kotecha, G. , Leibnitz, K. , Matsubara, T. , Sprenger, C. , Nakae, A. , …Seymour, B. (2018). Classification and characterisation of brain network changes in chronic back pain: A multicenter study. Wellcome Open Research, 3. https://doi.org/10.12688/wellcomeopenres.14069.2 source
The Results (Network Based Statistic; page unavailable) report decreased functional connectivity in 10 connections of the triple network after ACT, and the Correlation Analysis links several connectivity changes to behavioral improvements. The paper does not establish that connectivity returned to a previously healthy or normal level; it reports a decrease, not a measured return to such a benchmark. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Interpretationreasoning
Decreased functional connectivity in the left putamen/right insula and left insula/right thalamus may contribute to enhanced quality of life reported post-ACT.
“So, decreased functional connectivity in these regions may contribute to enhanced quality of life that is reported post-ACT [21,40].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [21] Mano, H. , Kotecha, G. , Leibnitz, K. , Matsubara, T. , Sprenger, C. , Nakae, A. , …Seymour, B. (2018). Classification and characterisation of brain network changes in chronic back pain: A multicenter study. Wellcome Open Research, 3. https://doi.org/10.12688/wellcomeopenres.14069.2 source
The Results (Network Based Statistic and Correlation Analysis; page not available) report decreased functional connectivity after ACT and associations between some connectivity changes and quality-of-life measures. They identify different connections, however, and do not link left putamen–right insula or left insula–right thalamus connectivity to improved quality of life. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [40] 2019, Chronic widespread pain patients show disrupted cortical connectivity in default mode and salience networks, modulated by pain sensitivity, Journal of Pain Research source
The Results (Post-Meditation Training: MRI Session 2 Analyses; page unavailable) report regional activation and deactivation associated with pain ratings after mindfulness meditation. Searches for the specified functional-connectivity pairs, ACT, and quality of life found no passage connecting those pairs to post-ACT quality of life. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Findingown data
In the 17-node analysis combining the 10 triple-network nodes and the seven pain nodes, the NBS revealed lowered connectivity after ACT across seven nodes and six edges corresponding to DMN, FPN, SN, or the pain network (t > 2.5, p = 0.004).
“We subsequently tested for effects of ACT on the 10 nodes identified in the previous analysis (Figure 2A) combined with the seven pain nodes (17 nodes total). In doing so, the NBS revealed lowered levels of connectivity as a result of ACT across seven nodes and six edges corresponding to DMN, FPN, SN, or the pain network when aggregated together (Figure 2B; t > 2.5 p = 0.004).”
Quote in the paperSubstantial claim
- Findingown data
The pain network nodes involved in decreased functional connections after ACT include the left putamen, right insula, left insula, and right thalamus.
“Nodes of the pain network that were involved in decreased functional connections include the left putamen, right insula, left insula, and right thalamus.”
Quote in the paperSubstantial claim - Findingown data
In the 101 DMN, FPN, and SN nodes examined, the NBS identified a subset of 10 nodes connected by 10 edges that showed reduced connectivity from pre-ACT to post-ACT (t > 2.5, p = 0.05).
“Of the 101 nodes in the DMN, FPN, and SN we examined, the NBS identified only a subset of 10 nodes connected by 10 edges that exhibited effects of ACT. This collection of 10 nodes and 10 edges showed reduced connectivity from pre-ACT to post-ACT (Figure 2A; t > 2.5 p = 0.05).”
Quote in the paperSubstantial claim - Findingown data
In the 108-node analysis including the original 101 triple-network nodes and the seven pain nodes, ACT was associated with lowered connectivity from pre- to post-ACT across 31 nodes and 34 edges corresponding to DMN, FPN, SN, or the pain network (t > 3.4, p = 0.036).
“Our final analysis examined effects of ACT across all nodes in the four networks of interest, which included the original 101 triple network nodes and the seven pain nodes (108 nodes total). Effects of ACT were demonstrated by lowered levels of connectivity from pre- to post-ACT across 31 nodes and 34 edges corresponding to DMN, FPN, SN, or the pain network when aggregated together (Figure 2C; t >”
Quote in the paperSubstantial claim - Findingown data
No increases in connectivity were observed in any NBS test that would correspond to pre-ACT > post-ACT.
“No increases in connectivity were observed in any NBS test that would correspond to pre-ACT > post-ACT.”
Quote in the paperSubstantial claim - Study design and conductnone given
The sample was limited to white female participants.
“The sample was limited to white female participants.”
Quote in the paperNot a substantial claim - Study design and conductown data
The presented network effects were significant across multiple t-statistic thresholds.
“The presented network effects were significant across multiple t-statistic threshold.”
Quote in the paperSubstantial claim - Interpretationown data
Acceptance and Commitment Therapy normalizes the hyper-connectivity that exists between the default mode, frontoparietal, and salience networks of individuals with chronic pain.
“Our findings add to results of prior research suggesting that Acceptance and Commitment Therapy normalizes the hyper-connectivity that exists between the default mode, frontoparietal, and salience networks of individuals with chronic pain.”
Quote in the paperSubstantial claim - Premisecitation
A meta-analysis of chronic pain identified seven brain areas showing increased activation during pain induction compared to a control condition: right medial frontal gyrus, bilateral insula, right postcentral gyrus, left lentiform nucleus, right thalamus, and right claustrum.
“This meta-analysis of chronic pain identified seven brain areas that showed increased activation during pain induction compared to a control condition (Figure 1B; right medial frontal gyrus, bilateral insula, right postcentral gyrus, left lentiform nucleus, right thalamus, and right claustrum).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [35] SAS. (2002). SAS 9.1.3 Help and Documentation. Cary, NC: SAS Institute Inc.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Changes in cognitive and emotional networks indicate participants' ability to deal with pain more efficiently after ACT intervention.
“Changes in cognitive and emotional networks indicate the participants’ ability to deal with pain more efficiently after ACT intervention.”
Quote in the paperSubstantial claim - Interpretationown data
ACT also alleviates connectivity involving pain nodes.
“This work also suggests that connectivity involving pain nodes is also alleviated.”
Quote in the paperSubstantial claim - Study design and conductcitation
The NBS controls the family wise error rate when mass univariate testing is performed at every connection comprising the graph.
“An advantage of the NBS is that it controls the family wise error rate when mass univariate testing is performed at every connection comprising the graph.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [24] 2018, The Triple Network Model, Insight, and Large-Scale Brain Organization in Autism, Biological Psychiatry source
- May combine two claims. 7
- Classified as probably not a substantial claim. 6
May combine two claims.
InterpretationreasoningThe functional connectivity changes involving regions of the DMN, FPN, SN, and pain network, alongside previously reported positive behavioral outcomes, are convincing underlying reasons for how ACT effectively alleviates chronic pain symptomology.
“These functional connectivity changes involving regions of the DMN, FPN, SN, and pain network (alongside previously reported positive behavioral outcomes, [21]) are convincing underlying reasons for the way ACT effectively alleviates chronic pain symptomology.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [21] Mano, H. , Kotecha, G. , Leibnitz, K. , Matsubara, T. , Sprenger, C. , Nakae, A. , …Seymour, B. (2018). Classification and characterisation of brain network changes in chronic back pain: A multicenter study. Wellcome Open Research, 3. https://doi.org/10.12688/wellcomeopenres.14069.2 source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
Premiseown dataIn the initial report, effects were observed in 10 nodes out of 101 triple-network nodes, and those same 10 nodes were used in the following analysis with the seven pain nodes.
“In our initial report [21] we tested for changes in brain networks underlying ACT-related outcomes in those with CMP using only triple network nodes without the inclusion of pain nodes (t > 2.1 for the 101 nodes of the DMN, FPN, and SN). We observed effects in 10 nodes out of 101 triple network nodes and used those same 10 for the following analysis in conjunction with Waller and colleagues’ [35]”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [21] Mano, H. , Kotecha, G. , Leibnitz, K. , Matsubara, T. , Sprenger, C. , Nakae, A. , …Seymour, B. (2018). Classification and characterisation of brain network changes in chronic back pain: A multicenter study. Wellcome Open Research, 3. https://doi.org/10.12688/wellcomeopenres.14069.2 source
The Methods (Network Based Statistic; page unavailable) say the initial analysis tested all 101 DMN, FPN, and SN nodes, and the Results identify a network of 10 nodes with ACT-related connectivity changes. The cited paper reports a threshold of t > 2.5, not t > 2.1. It does not document the subsequent analysis combining those 10 nodes with seven pain nodes. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [35] SAS. (2002). SAS 9.1.3 Help and Documentation. Cary, NC: SAS Institute Inc.
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductcitationPermutation testing is used to ascribe a p-value controlled for the family wise error to each connected component based on its size.
“Explicitly, permutation testing is used to ascribe a p-value controlled for the family wise error to each connected component based on its size [24].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [24] 2018, The Triple Network Model, Insight, and Large-Scale Brain Organization in Autism, Biological Psychiatry source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenSelection bias may play a role such that participants who self-selected to participate may have been different from the general population.
“Selection bias may play a role such that participants who self-selected to participate may have been different from the general population.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataTen participants began initial testing, but one individual ended the baseline scan early due to a medical condition and was eliminated from the study.
“Ten participants began initial testing. However, one individual ended the baseline scan early due to a medical condition, was eliminated from the study at that time, and was prorated for their time in the study.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe acceptance technique of ACT produces lower self-rated pain intensity, depression, pain-related anxiety, and pain avoidance while increasing physical, social, and occupational ability.
“The acceptance technique of ACT has been shown to produce lower self-rated pain intensity, depression, pain-related anxiety, and pain avoidance while increasing physical, social, and occupational ability [23].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] source
May combine two claims.
Interpretationown dataThe current analyses expose changes to the pain network as a result of ACT, contrary to prior research suggesting ACT can reduce pain symptomatology without altering the pain network.
“Despite prior research suggesting that ACT can reduce pain symptomatology without altering the pain network, the current analyses do expose changes to the pain network as a result of ACT.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductreasoningThe analysis tested for both increases and decreases in connectivity across a range of t-statistic thresholds to ensure that reported significant findings are robust.
“While we predicted that we would observe decreases in connectivity as a result of ACT, NBS t-tests are one-tailed; therefore, we tested for both increases and decreases in connectivity between pre- and post-ACT across a range of t-statistic thresholds to ensure that reported significant findings are robust.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Study design and conductnone givenThe long-term effects of ACT on pain management are not well documented.
“Lastly, the long-term effects of ACT on pain management are not well documented.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataThere was no control group; no comparisons were made between individuals with chronic pain and a healthy control population.
“Another limitation lies within the lack of a control group. No comparisons were made between the individuals with chronic pain and a healthy control population who were not experiencing chronic pain.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenA main limitation of the current study is the sample and its size.
“A main limitation in the current study is the sample and its size.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationTraditional pain medications do little to affect both the hyper-connectivity and the perceived quality of life existing in those with chronic pain.
“Analyses of alternative treatments for CMP are important as traditional pain medications do little to affect both the hyper-connectivity and dully perceived quality of life existing in those with chronic pain.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] source
The paper relies on this without support.
Prior to this study, little was known about how the brain can change in response to specific interventions in chronic musculoskeletal pain.
“Prior to this study, as well as Aytur and colleagues’ study [21], little was known about how the brain can change in response to specific interventions in certain disease states, such as CMP.”
The paper relies on this without support.
The extent to which ACT interacts with the hypothesized neural systems underlying chronic pain was unknown.
“The extent to which ACT interacts with the hypothesized neural systems underlying chronic pain was also unknown.”
The paper relies on this without support.
Pain itself affects cognitive and emotional brain networks.
“However, connectivity between the triple network and the pain network may change post-ACT since pain itself affects cognitive and emotional brain networks.”
The paper relies on this without support.
ACT is considered a well-established treatment for chronic musculoskeletal pain by the American Psychological Association.
“It is considered a “well-established” treatment for CMP by the American Psychological Association.”
The paper relies on this without support.
Subjective reports suggest decreased levels of perceived pain due to ACT.
“This work is important as subjective reports suggest decreased levels of perceived pain due to ACT, a treatment focusing on cognition and emotion rather than pain itself.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Available evidence points to neurophysiological brain correlates of clinical improvement after acceptance and commitment therapy in chronic pain, supporting the usefulness of acceptance and commitment therapy in chronic pain populations such as central pain sensitization syndromes.
“Additionally, available evidence points to the neurophysiological brain correlates of clinical improvement after ACT in chronic pain [88,89], supporting the usefulness of ACT in chronic pain populations such as CPSS.”
From Effectiveness of acceptance and commitment therapy in central pain sensitization syndromes: A systematic review (2021) · cites this paper as [89]
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“…these regions have been linked to thoughts of helplessness, pessimism, and rumination in the instance of CMP, as previously stated, so decreased functional connectivity in these regions may contribute to enhanced quality of life that is reported post-ACT (Zeidan et al., 2011; Aytur et al., 2020).”
BackgroundEffective treatment of chronic low back pain in humans reverses abnormal brain anatomy and function
Seminowicz, D. A., Wideman, T. H., Naso, L., Hatami-Khoroushahi, Z., Fallatah, S., Ware, M. A., Jarzem, P., Bushnell, M. C., Shir, Y., Ouellet, J. A., et al. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5280-10.2011 · Cited by 622 · cited 3× · see citing works
“It has also been shown that CMP (specifically chronic lower back pain) leads to reductions in cortical gray matter in bilateral dorsolateral prefrontal cortex, thalamus, brainstem, primary somatosensory cortex, and posterior parietal cortex (Seminowicz et al., 2011).”
BackgroundPrevalence and Profile of High-Impact Chronic Pain in the United States
Pitcher, M. H., Von Korff, M., Bushnell, M. C., & Porter, L. (2019) · The Journal of Pain · doi:10.1016/j.jpain.2018.07.006 · Cited by 470 · cited 1× · see citing works
“Thus, CMP commonly co-occurs with depression, anxiety, fatigue, difficulty remembering, and difficulty concentrating, resulting in substantial disabilities participating in work, social interactions, and self-care practices (Pitcher et al., 2019).”
BackgroundMetaanalytic connectivity modeling: Delineating the functional connectivity of the human amygdala
Robinson, J. L., Laird, A. R., Glahn, D. C., Lovallo, W. R., & Fox, P. T. (2010) · Human Brain Mapping · doi:10.1002/hbm.20854 · Cited by 327 · cited 1× · see citing works
“Waller and colleagues used the activation likelihood estimate (ALE) [36] to identify brain regions consistently activated during pain induction (for 419 subjects and 398 coordinate foci) and then applied meta-analytic connectivity modeling (MACM) [37] to yield coactivation patterns between those regions.”
MethodThe Default Mode Network in Healthy Individuals: A Systematic Review and Meta-Analysis
Mak, L. E., Minuzzi, L., MacQUEEN, G. M., Hall, G. B., Kennedy, S. H., & Milev, R. V. (2016) · Brain Connectivity · doi:10.1089/brain.2016.0438 · Cited by 325 · cited 1× · see citing works
“The DMN is a network noted to be more active when an individual is not participating in any given mental task [8,9].”
BackgroundHemington, K. S., Wu, Q., Kucyi, A., Inman, R. D., & Davis, K. D. (2016) · Brain Structure and Function · doi:10.1007/s00429-015-1161-1 · Cited by 220 · cited 7× · see citing works
“Various studies have explored the relationship between these three regions, and demonstrate increased connectivity between the DMN, FPN, and SN (Cauda et al., 2014; Cottam et al., 2016; Doll, Hölzel, Bouchard, Wohlschläger, & Sorg, 2015; Hemington et al., 2016; Napadow et al., 2010; van EttingerVeenstra et al., 2019;…”
BackgroundInfluentialGray matter alterations in chronic pain: A network-oriented meta-analytic approach
Cauda, F., Palermo, S., Costa, T., Torta, R., Duca, S., Vercelli, U., Geminiani, G., & Torta, D. M. E. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2014.04.007 · Cited by 212 · see citing works
Brain imaging of pain: state of the art
Morton, D. L., Jones, A. K. P., & Sandhu, J. (2016) · Journal of Pain Research · doi:10.2147/jpr.s60433 · Cited by 211 · cited 4× · see citing works
“Brain changes in CMP are widespread and involve the pain network and sensory, emotional, and cognitive control networks that process information (Morton et al., 2016).”
BackgroundInfluentialErratum: Structural plasticity and reorganisation in chronic pain
Kuner, R., & Flor, H. (2017) · Nature reviews. Neuroscience · doi:10.1038/nrn.2017.5 · Cited by 176 · cited 1× · see citing works
“Increased posterior DMN connectivity (involving insular and anterior cingulate regions) proportional to the intensity of pain has previously been reported [10].”
BackgroundGraph Theory Methods for the Analysis of Neural Connectivity Patterns
Sporns, O. (2003) · Springer eBooks · doi:10.1007/978-1-4615-1079-6_12 · Cited by 169 · cited 2× · see citing works
“An advantage of this type of computational analysis is to provide strong visuals of the functional connectivity that exists within both healthy brains and dysfunctional brains in addition to providing quantitative measures of that connectivity data (Sporns, 2003).”
BackgroundModulation of pain, nociception, and analgesia by the brain reward center
Mitsi, V., & Zachariou, V. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.05.017 · Cited by 168 · cited 1× · see citing works
“Previous work has shown that chronic pain conditions impact the brain via networks noted above (Mitsi & Zachariou, 2016).”
BackgroundDoll, A., Hölzel, B. K., Boucard, C. C., Wohlschläger, A. M., & Sorg, C. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00461 · Cited by 165 · cited 1× · see citing works
“…it has been demonstrated that there is elevated functional connectivity among the DMN, FPN, and SN in individuals suffering from CMP (Cauda et al., 2014; Cottam et al., 2016; Doll et al., 2015; Hemington et al., 2016; Napadow et al., 2010; van Ettinger-Veenstra et al., 2019; Zhao et al., 2017).”
BackgroundAn Optimized Individual Target Brain in the Talairach Coordinate System
Kochunov, P., Lancaster, J., Thompson, P., Toga, A. W., Brewer, P., Hardies, J., & Fox, P. (2002) · NeuroImage · doi:10.1016/s1053-8119(02)91084-0 · Cited by 158 · cited 2× · see citing works
“Next, each participant’s brain was parcellated into specific regions of interest (ROIs) using a Multi-image Analysis GUI (Mango; Kochunov et al., 2002) selected from the Power atlas of 264 ROIs (Power et al.”
MethodTest–retest reliability of functional connectivity networks during naturalistic fMRI paradigms
Wang, J., Ren, Y., Hu, X., Nguyen, V. T., Guo, L., Han, J., & Guo, C. C. (2017) · Human Brain Mapping · doi:10.1002/hbm.23517 · Cited by 155 · see citing works
Modeling Pain Using fMRI: From Regions to Biomarkers
Reddan, M. C., & Wager, T. D. (2017) · Neuroscience Bulletin · doi:10.1007/s12264-017-0150-1 · Cited by 122 · see citing works
Cottam, W. J., Iwabuchi, S. J., Drabek, M. M., Reckziegel, D., & Auer, D. P. (2018) · Pain · doi:10.1097/j.pain.0000000000001209 · Cited by 110 · cited 3× · see citing works
“Most common medications (painkillers, muscle relaxants, anti-depressants, e.g.) aim to reduce or manage the actual pain sensation, but can often lead to unwanted side effects and major life changes (Dahl & Lundgren, 2006).”
BackgroundMethodZhao, Z., Huang, T., Tang, C., Ni, K., Pan, X., Yan, C., Fan, X., Xu, D., & Luo, Y. (2017) · PLOS ONE · doi:10.1371/journal.pone.0176494 · Cited by 103 · cited 2× · see citing works
“…it has been demonstrated that there is elevated functional connectivity among the DMN, FPN, and SN in individuals suffering from CMP (Cauda et al., 2014; Cottam et al., 2016; Doll et al., 2015; Hemington et al., 2016; Napadow et al., 2010; van Ettinger-Veenstra et al., 2019; Zhao et al., 2017).”
Backgroundvan Ettinger-Veenstra, H., Lundberg, P., Alföldi, P., Södermark, M., Graven-Nielsen, T., Sjörs, A., Engström, M., & Gerdle, B. (2019) · Journal of Pain Research · doi:10.2147/jpr.s189443 · Cited by 97 · cited 2× · see citing works
“…it has been demonstrated that there is elevated functional connectivity among the DMN, FPN, and SN in individuals suffering from CMP (Cauda et al., 2014; Cottam et al., 2016; Doll et al., 2015; Hemington et al., 2016; Napadow et al., 2010; van Ettinger-Veenstra et al., 2019; Zhao et al., 2017).”
BackgroundREX: Response Exploration for Neuroimaging Datasets
Duff, E. P., Cunnington, R., & Egan, G. F. (2007) · Neuroinformatics · doi:10.1007/s12021-007-9001-y · Cited by 81 · cited 1× · see citing works
“The mean time course (BOLD signal changes in time) within these seed regions was extracted from the residual images using Response Exploration for Neuroimaging Datasets (REX; Duff, 2008).”
MethodPain-Evoked Reorganization in Functional Brain Networks
Zheng, W., Woo, C., Yao, Z., Goldstein, P., Atlas, L. Y., Roy, M., Schmidt, L., Krishnan, A., Jepma, M., Hu, B., et al. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz276 · Cited by 79 · cited 2× · see citing works
“, 2019), FPN (Pfannmöller & Lotze, 2019; Kutch et al., 2017; Zheng et al., 2019; Androulakis et al., 2018), and SN (Hemington et al.”
BackgroundMano, H., Kotecha, G. K., Leibnitz, K., Matsubara, T., Sprenger, C., Nakae, A., Shenker, N., Shibata, M., Voon, V., Yoshida, W., et al. (2018) · Wellcome Open Research · doi:10.12688/wellcomeopenres.14069.2 · Cited by 74 · see citing works
The Triple Network Model, Insight, and Large-Scale Brain Organization in Autism
Menon, V. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.06.012 · Cited by 73 · cited 1× · see citing works
“These three core networks, designated as the “triple network” in this paper, have become crucial in understanding higher levels of cognitive functioning and reasons it may become abnormal (Menon, 2011; Menon, 2018).”
BackgroundKutch, J. J., Labus, J. S., Harris, R. E., Martucci, K. T., Farmer, M. A., Fenske, S. J., Fling, C., Ichesco, E., Peltier, S., Petre, B., et al. (2017) · Pain · doi:10.1097/j.pain.0000000000000886 · Cited by 68 · cited 1× · see citing works
“CMP manifests after an eventual transition from acute pain, and central cognitive processes largely explain the persistent nature of pain in the instance of musculoskeletal damage (Mano et al., 2018).”
BackgroundZhang, Y., Mao, Z., Pan, L., Ling, Z., Liu, X., Zhang, J., & Yu, X. (2019) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00105-8 · Cited by 62 · cited 3× · see citing works
“Multiple previous studies also present the potential for alterations of the DMN (Napadow et al., 2010; Kornelsen et al., 2013; Kuner & Flor, 2017; Karafin et al., 2019; Wakaizumi et al., 2019; Zhang et al., 2019), FPN (Pfannmöller & Lotze, 2019; Kutch et al.”
BackgroundACCEPTANCE AND COMMITMENT THERAPY (ACT) IN THE TREATMENT OF CHRONIC PAIN
DAHL, J., & LUNDGREN, T. (2006) · Mindfulness-Based Treatment Approaches · doi:10.1016/b978-012088519-0/50014-9 · Cited by 56 · cited 3× · see citing works
“Most common medications (painkillers, muscle relaxants, anti-depressants, e.g.) aim to reduce or manage the actual pain sensation, but can often lead to unwanted side effects and major life changes (Dahl & Lundgren, 2006).”
BackgroundMethodAndroulakis, X. M., MD, Krebs, K. A., Krebs, K. A., MS, Finkel, A. G., MD, Rorden, C., PhD, Norlund, R. D. N., et al. (2018) · Journal of Neurological Disorders · doi:10.4172/2329-6895.1000393 · Cited by 56 · cited 1× · see citing works
“…2017; Karafin et al., 2019; Wakaizumi et al., 2019; Zhang et al., 2019), FPN (Pfannmöller & Lotze, 2019; Kutch et al., 2017; Zheng et al., 2020; Androulakis et al., 2018), and SN (Hemington et al., 2016; Bishop et al., 2018; Seeley, 2019) in those experiencing chronic pain, exposing the…”
BackgroundReview on biomarkers in the resting-state networks of chronic pain patients
Pfannmöller, J., & Lotze, M. (2019) · Brain and Cognition · doi:10.1016/j.bandc.2018.06.005 · Cited by 55 · cited 2× · see citing works
“Data show that the FPN predicts how pain intensity will progress for those experiencing chronic pain, particularly within the first three months of the condition (Pfannmöller & Lotze, 2019).”
BackgroundAytur, S. A., Ray, K. L., Meier, S. K., Campbell, J., Gendron, B., Waller, N., & Robin, D. A. (2020) · doi:10.1101/2020.08.10.20144063 · Cited by 49 · cited 7× · see citing works
“These functional connectivity changes involving regions of the DMN, FPN, SN, and pain network (alongside previously reported positive behavioral outcomes, Aytur et al., 2020), are convincing underlying reasons for the way ACT effectively alleviates chronic pain symptomology.”
BackgroundMethodResultInfluentialSelf-citationStructural network differences in chronic musculoskeletal pain: Beyond fractional anisotropy
Bishop, J. H., Shpaner, M., Kubicki, A., Clements, S., Watts, R., & Naylor, M. R. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.021 · Cited by 48 · cited 1× · see citing works
“, 2018), and SN (Hemington et al., 2016; Bishop et al., 2018; Seeley, 2019) in those experiencing chronic pain, exposing the necessity to further investigate neurological mechanisms underlying chronic pain.”
BackgroundDefault Mode Network Functional Connectivity Altered in Failed Back Surgery Syndrome
Kornelsen, J., Sboto‐Frankenstein, U., McIver, T. A., de Gervai, P. D., Wacnik, P. W., Berrington, N. R., & Tomanek, B. (2013) · Journal of Pain · doi:10.1016/j.jpain.2012.12.018 · Cited by 45 · cited 3× · see citing works
“Multiple previous studies also present the potential for alterations of the DMN (Napadow et al., 2010; Kornelsen et al., 2013; Kuner & Flor, 2017; Karafin et al., 2019; Wakaizumi et al., 2019; Zhang et al., 2019), FPN (Pfannmöller & Lotze, 2019; Kutch et al.”
BackgroundKarafin, M. S., Chen, G., Wandersee, N. J., Brandow, A. M., Hurley, R. W., Simpson, P. M., Ward, D. B., Li, S., & Field, J. J. (2019) · PLoS ONE · doi:10.1371/journal.pone.0216994 · Cited by 36 · cited 3× · see citing works
“Multiple previous studies also present the potential for alterations of the DMN (Napadow et al., 2010; Kornelsen et al., 2013; Kuner & Flor, 2017; Karafin et al., 2019; Wakaizumi et al., 2019; Zhang et al., 2019), FPN (Pfannmöller & Lotze, 2019; Kutch et al.”
BackgroundAltered functional connectivity associated with time discounting in chronic pain
Wakaizumi, K., Jabakhanji, R., Ihara, N., Kosugi, S., Terasawa, Y., Morisaki, H., Ogaki, M., & Baliki, M. N. (2019) · Scientific Reports · doi:10.1038/s41598-019-44497-5 · Cited by 22 · cited 3× · see citing works
“Multiple previous studies also present the potential for alterations of the DMN (Napadow et al., 2010; Kornelsen et al., 2013; Kuner & Flor, 2017; Karafin et al., 2019; Wakaizumi et al., 2019; Zhang et al., 2019), FPN (Pfannmöller & Lotze, 2019; Kutch et al.”
BackgroundWaller, N., & Robin, D. A. (2020) · University of New Hampshire Scholars Repository (University of New Hampshire at Manchester) · Cited by 1 · see citing works
Self-citation
Flagged first, then by citations
2 of the 53 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Higham, D.J. , & Higham, N.J. (2016). MATLAB guide (Vol. 150). Siam.
- Neuroscience Bulletin, 34, 208–215. https://doi.org/10.1007/s12264-017-0150-1 · DOI
Cited by
Sorted by citations
Aytur, S. A., Ray, K. L., Meier, S. K., Campbell, J., Gendron, B., Waller, N., & Robin, D. A. (2020) · doi:10.1101/2020.08.10.20144063 · Cited by 49 · see citing works
Self-citationNeuroplasticity in chronic pain: insights into diagnosis and treatment
Jaffal, S. M. (2025) · The Korean journal of pain · doi:10.3344/kjp.24393 · Cited by 51 · see citing works
“This includes structural and functional changes in the ACC, amygdala, insula, and S1, all of which contribute to an intensified and emotional experience of pain [57].”
InfluentialGalvez-Sánchez, C. M., Montoro, C. I., Moreno-Padilla, M., Reyes del Paso, G. A., & de la Coba, P. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10122706 · Cited by 45 · see citing works
“Additionally, available evidence points to the neurophysiological brain correlates of clinical improvement after ACT in chronic pain [88,89], supporting the usefulness of ACT in chronic pain populations such as CPSS.”
BackgroundAdvances in targeting central sensitization and brain plasticity in chronic pain
Bazzari, A. H., & Bazzari, F. H. (2022) · The Egyptian Journal of Neurology Psychiatry and Neurosurgery · doi:10.1186/s41983-022-00472-y · Cited by 40 · see citing works
“Positive findings are also observed with ACT interventions in relation to pain, behavior and connectivity alterations across emotion, cognition and pain processing networks [161, 162].”
BackgroundLottering, B. J., & Lin, Y. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22095028 · Cited by 24 · see citing works
“being consistent with network changes associated with central sensitization [27].”
BackgroundLee, S. W., Kim, S., Lee, S., Seo, H. S., Cha, H., Chang, Y., & Lee, S. J. (2023) · Psychological Medicine · doi:10.1017/s0033291723001769 · Cited by 21 · see citing works
Takeuchi, N. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.941979 · Cited by 15 · see citing works
“, 2019), and that cognitive-behavioral pain therapy reduced the functional connectivity between DMN, FPN, and SN in patients with chronic pain (Meier et al., 2020).”
BackgroundBurnout and the Brain—A Mechanistic Review of Magnetic Resonance Imaging (MRI) Studies
Chmiel, J., & Kurpas, D. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26178379 · Cited by 14 · see citing works
“…showed that ACT reduced the pathological hyper-connectivity linking the default-mode, fronto-parietal, and salience networks and restored a more energy-efficient small-world topology—essentially the mirror image of the rich-club fragmentation described in longitudinal burnout cohorts [228].”
Yuyan, Y., Jiaqi, L., Ting, W., Juan, X., Jinfeng, W., & Jing, L. (2025) · European Journal of Oncology Nursing · doi:10.1016/j.ejon.2025.102862 · Cited by 11 · see citing works
Li, Y., Yu, Y., Yin, Y., Hu, X., & Wu, S. (2023) · ALPHA PSYCHIATRY · doi:10.5152/alphapsychiatry.2023.231191 · Cited by 8 · see citing works
“23 It is also an essential structure in the brain’s reward circuit in MDD. 24 Specifically, fMRI studies have found that PUT is significantly activated when the reward is expected.”
BackgroundShrivastava, A., Singh, B. K., Krishna, D., Prasanna, K., & Singh, D. (2023) · Cureus · doi:10.7759/cureus.34977 · Cited by 8 · see citing works
“Functional connectivity can be used for analyzing cognitive activity [11], disorders like schizophrenia [12], depression [13], chronic pain [14], yoga, and meditation [15-17].”
BackgroundVasiliou, V., Konstantinou, N., Christou, Y., Papacostas, S., Constantinidou, F., Heracleous, E., Seimenis, I., & Karekla, M. (2024) · European Journal of Pain · doi:10.1002/ejp.4734 · Cited by 8 · see citing works
Lord, B., Allen, J. J. B., Young, S., & Sanguinetti, J. L. (2024) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2024.12.005 · Cited by 6 · see citing works
Zhu, M., Guo, Z., Liu, J., Guo, Y., Dong, J., Ma, J., & Chen, X. (2025) · Clinical Neuropharmacology · doi:10.1097/wnf.0000000000000630 · Cited by 2 · see citing works
Carvalho, S. A., Menezes, P. J., Duarte, C., Skvarc, D., Silva, A. R., Valentim, A., Diogo, J. E., Sargento‐Freitas, J., Trindade, I. A., Castilho, P., et al. (2025) · JMIR Research Protocols · doi:10.2196/80611 · Cited by 2 · see citing works
“ACT seems to lead to reductions in the triple network connectivity involved in pain chronicity, namely brain networks related to self-reflection (DMN), emotion (SN), and cognitive control (FPN) [24].”
Harvey, A. R. (2023) · Brain Behavior & Immunity - Health · doi:10.1016/j.bbih.2022.100586 · Cited by 4 · see citing works
Abnormal Interhemispheric Functional Connectivity in Acute Pericoronitis: A Resting-State MRI Study
Li, X., Qiu, L.-Y., Shi, X.-J., Zhu, Y.-P., He, Y., & Kuang, H. (2024) · Journal of Craniofacial Surgery · doi:10.1097/scs.0000000000010532 · Cited by 1 · see citing works
“34 Previous studies on pain-related disorders, such as migraine, 35 muscle pain, 36 and temporomandibular joint disorders, 37 have highlighted alterations in functional connectivity of the frontoparetal network.”
Linking fMRI, Pain, and Addictions
Aytur, S., Roy, G., Doyle, M., Ray, K. L., Meier, S. K., & Robin, D. A. (2022) · Springer eBooks · doi:10.1007/978-3-030-67928-6_33-1
Self-citationLinking fMRI, Pain, and Addictions
Aytur, S., Roy, G., Doyle, M., Ray, K. L., Meier, S. K., & Robin, D. A. (2022) · Springer eBooks · doi:10.1007/978-3-030-92392-1_33
Self-citationرزق, ع. ح. م. (2022) · مجلة التربية الخاصة · doi:10.21608/mtkh.2022.283506
Harris, J. (2024) · Wiley eBooks · doi:10.1002/9781394310517.ref
- Authors
- Meier, S. K., Ray, K. L., Waller, N. C., Gendron, B. C., Aytur, S. A., & Robin, D. A.
- Affiliations
- University of New Hampshire (US)
- The University of Texas at Austin (US)
- Wentworth Douglass Hospital (US)
- Corresponding author
- Meier, Sarah K.
- Venue
- Brain Sciences
- Publisher
- openRxiv
- Published
- 2020-10-21
- Volume
- 11
- Issue
- 1
- Pages
- 10-10
- ISSN
- 2076-3425 (ISSN-L)
- PMC
- PMC7823706
- OpenAlex
- W3018185936
- Cited by
- 21
- References
- 53
- Citations by year
- 2025: 5 · 2024: 4 · 2023: 5 · 2022: 4 · 2021: 3
- FWCI
- 1.49
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Brain Sciences (publishedVersion, cc-by)
- medRxiv (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- University of New Hampshire Scholars Repository (University of New Hampshire at Manchester) (submittedVersion)
- Europe PMC (PubMed Central) (submittedVersion, other-oa)
- PubMed Central (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- University of New Hampshire
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Physiology › Pain Mechanisms and Treatments
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Keywords
- acceptance and commitment therapy, chronic musculoskeletal pain, neuroplasticity, brain network connectivity, default mode network, frontoparietal network, salience network, pain network, insula, putamen, thalamus, hyperconnectivity
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