Abnormal alpha band power in the dynamic pain connectome is a marker of chronic pain with a neuropathic component.

We previously identified alpha frequency slowing and beta attenuation in the dynamic pain connectome related to pain severity and interference in patients with multiple sclerosis-related neuropathic pain (NP). Here, we determined whether these abnormalities, are markers of aberrant temporal dynamics in non-neuropathic inflammatory pain (non-NP) or when NP is also suspected. We measured resting-state magnetoencephalography (MEG) spectral density in 45 people (17 females, 28 males) with chronic back pain due to ankylosing spondylitis (AS) and 38 age/sex matched healthy controls. We used painDETECT scores to divide the chronic pain group into those with only non-NP (NNP) and those who likely also had a component of NP in addition to their inflammatory pain. We also assessed pain severity, pain interference, and disease activity with the Brief Pain Inventory and Bath AS Disease Activity Index (BASDAI). We examined spectral power in the dynamic pain connectome, including nodes of the ascending nociceptive pathway (ANP), default mode (DMN), and salience networks (SN). Compared to the healthy controls, the AS patients exhibited increased theta power in the DMN and decreased low-gamma power in the DMN and ANP, but did not exhibit beta-band attenuation or peak-alpha slowing. The NNP patients were not different from HCs. Compared to both healthy controls and NNP, NP patients had increased alpha power in the ANP. Increased alpha power within the ANP was associated with reduced BASDAI in the NNP group, and increased pain in the mixed-NP group within the DMN, SN, and ANP. Thus, high theta and low gamma activity may be markers of chronic pain but high alpha-band activity may relate to particular features of neuropathic chronic pain.

The Endogenous Analgesia Signature in the Resting Brain of Healthy Adults and Migraineurs.

Altered pain modulation and resting state functional connectivity (rsFC) were found to be related to migraine pathology and clinical manifestation. We examined how pain modulation psychophysical measures are related to resting-state networks and rsFC between bottom-up and top-down pain modulation areas. Thirty-two episodic migraineurs and 23 age-matched healthy individuals underwent temporal summation of pain (TSOP) and conditioned pain modulation (CPM) tests, followed by a resting-state imaging scan. No differences in temporal summation of pain and CPM were found between groups. However, in healthy individuals, more efficient CPM was correlated with 1) stronger rsFCs of the posterior cingulate cortex, with the ventromedial prefrontal cortex and with the pregenual anterior cingulate cortex; 2) weaker rsFC of the anterior insula with the angular gyrus. Conversely, in migraineurs, the association between CPM and rsFC was altered. Our results suggest that the functional connectivity within the default mode network (DMN) components and the functional coupling between the DMN and pain inhibitory brain areas is linked with pain inhibition efficiency. In migraineurs, this interplay is changed, yet enables normal pain inhibition. Our findings shed light on potential functional adaptation of the DMN and its role in pain inhibition in health and migraine. PERSPECTIVE: This article establishes evidence for the relationship between the resting-state brain and individual responses in psychophysical pain modulation tests, in both migraine and healthy individuals. The results emphasize the significant role of the default mode network in maintaining pain inhibition efficiency in health and in the presence of chronic pain.

Individualization of Migraine Prevention: A Randomized Controlled Trial of Psychophysical-based Prediction of Duloxetine Efficacy.

OBJECTIVE: Finding an effective preventive agent for the individual migraineur is often long and frustrating. An individual-specific, efficacy-predicting tool would be invaluable in directing, shortening, and improving this process. As the serotonin-norepinephrine reuptake inhibitor duloxetine is a pain modulator, we hypothesized that pronociceptivity will directly predict drug efficacy, so that the more pronociceptive the patient is, the more efficacious the drug. Therefore, we used psychophysical pain measures to predict duloxetine efficacy in migraine prevention. METHODS: Fifty-five migraineurs participated: 27 received duloxetine and 28 nonactive placebo. Responses to painful stimuli, conditioned pain modulation, and temporal summation of pain were measured before treatment. Treatment outcome measures included changes in attack frequency, migraine days, pain levels, and a reported self-estimate of migraine improvement at weeks 4 and 5. To examine treatment effects, the outcome measures were compared with pretreatment levels. Treatment by the psychophysical-predictor effect on treatment outcome was examined in separate regression models. RESULTS: Duloxetine was more efficacious than placebo in migraine prevention, as indicated by the patient's estimation of migraine improvement (duloxetine: 52.3±30.4%; placebo: 26.0±27.3%; P=0.001). Further, this measure, in the duloxetine group, was predicted by higher pretreatment pain ratings for tonic heat pain (P=0.012); greater pain sensitivity at baseline predicted greater percent of migraine improvement in duloxetine (r=0.47; P=0.013), but not in placebo (r=-0.36; P=0.060). DISCUSSION: Our results suggest how personalized medicine can be applied to designing appropriate migraine prevention treatment. Psychophysical testing can reveal and characterize pronociceptive migraineurs, who seem to be more likely than non-pronociceptive ones to benefit from migraine prevention with serotonin-norepinephrine reuptake inhibitors.

Do patients with interictal migraine modulate pain differently from healthy controls? A psychophysical and brain imaging study.

Studies in interictal migraine show either normal or impaired pain modulation, at the psychophysical level. To date, pain modulation in migraineurs has yet to be explored concurrent with imaging methods. We aimed to investigate brain activity associated with endogenous analgesia by functional magnetic resonance imaging in attack-free migraineurs. Thirty-nine episodic migraineurs and 35 controls participated. Endogenous analgesia efficiency was assessed by the conditioned pain modulation (CPM) paradigm during functional magnetic resonance imaging. Conditioned pain modulation included 4 stimulation sequences of either test stimulus (noxious contact heat at forearm) given stand alone (Ts_alone) or concomitant to contralateral foot immersion in cold water (Ts_conditioned). The psychophysical CPM (Ts_conditioned minus Ts_alone; 0-10 numerical rating scale) and related brain activity were examined. No group differences were found in the psychophysical CPM (controls: -0.52 ± 0.80; migraineurs: -0.20 ± 0.88; repeated-measures analysis of variance: P = 0.110) or related brain activity (family wise error [P < 0.05] correction at the voxel level). Within groups, controls showed a significant CPM effect (Ts_alone: 6.15 ± 2.03 vs Ts_conditioned: 5.63 ± 1.97; P < 0.001), whereas migraineurs did not (Ts_alone: 5.60 ± 1.92 vs Ts_conditioned: 5.39 ± 2.30; P = 0.153); yet, both groups showed significant CPM-related decreased deactivation in prefrontal areas including the superior frontal gyrus and parietal regions including precuneus. The change in brain activity seems related to task demands rather than to pain reduction. The lack of group difference between migraineurs and controls in CPM and its related brain activity may result from (1) the specific CPM methodology used in this study, since migraineurs are reported to show various pain modulation efficiency for different test paradigms and/or (2) pathophysiological diversity of patients with migraine.