Alteration in Functional Magnetic Resonance Imaging Signal Complexity Across Multiple Time Scales in Patients With Migraine Without Aura

Abstract

BackgroundMigraine is a primary neurological disorder associated with complex brain activity. Recently, mounting evidence has suggested that migraine is underpinned by aberrant dynamic brain activity characterized by linear and non-linear changes across a variety of time scales. However, the abnormal dynamic brain activity at different time scales is still unknown in patients with migraine without aura (MWoA). This study aimed to assess the altered patterns of brain activity dynamics over different time scales and the potential pathophysiological mechanisms of alterations in patients with MWoA.MethodsMultiscale entropy in 50 patients and 20 healthy controls (HCs) was calculated to investigate the patterns and altered brain complexity (BC) across five different time scales. Spearman rank correlation analysis between BC in regions showing significant intergroup differences and clinical scores (i.e., frequency of migraine attacks, duration, headache impact test) was conducted in patients with MWoA.ResultsThe spatial distribution of BC varied across different time scales. At time scale1, BC was higher in the posterior default mode network (DMN) across participants. Compared with HCs, patients with MWoA had higher BC in the DMN and sensorimotor network. At time scale2, BC was mainly higher in the anterior DMN across participants. Patients with MWoA had higher BC in the sensorimotor network. At time scale3, BC was mainly higher in the frontoparietal network across participants. Patients with MWoA had increased BC in the parietal gyrus. At time scale4, BC is mainly higher in the sensorimotor network. Patients with MWoA had higher BC in the postcentral gyrus. At time scale5, BC was mainly higher in the DMN. Patients with MWoA had lower BC in the posterior DMN. In particular, BC values in the precuneus and paracentral lobule significantly correlated with clinical symptoms.ConclusionMigraine is associated with alterations in dynamic brain activity in the sensorimotor network and DMN over multiple time scales. Time-varying BC within these regions could be linked to instability in pain transmission and modulation. Our findings provide new evidence for the hypothesis of abnormal dynamic brain activity in migraine.

Structural and functional changes of anterior cingulate cortex subregions in migraine without aura: relationships with pain sensation and pain emotion

“…Additionally, studies had found that female migraineurs exhibited reduced GMV in the ACC and prefrontal cortex, which is consistent with the findings of the present study( Dai et al. 2015 ; Wang et al. 2022a ).…”

“…Our current findings showed increased FC between the anterior part of ACC (sACC and pACC) and middle DMN (MTG), and decreased FC between the sACC and SN (ACG). Our previous study showed abnormalities in the ACC-DMN pattern network in patients with MM ( Wang et al. 2022a ).…”

“…2021 ), which may explain the abnormal FC of the pACC/sACC and the relationship between sACC.R and negative emotions in MWoA patients. In addition, our previous study on MM showed that the decreased FC between the sACC.R and DMN was closely related to SDS scores ( Wang et al. 2022a ).…”

“…We used DPABI V7.0 ( http://rfmri.org/DPABI ) to preprocess brain imaging data ( Yan et al. 2016 ; Wang et al. 2022a ).…”

Acupuncture for migraine prophylaxis: A protocol for systematic review and Bayesian network meta-analysis

“…Neuroimaging confirmed that acupuncture can be integrated into pain-related brain regions through different neural afferent pathways that cause analgesic effects. [22][23][24] Experimental studies have found that the mechanism of acupuncture for migraine involves inhibiting neurogenic inflammation, improving cerebral microcirculation, [25] and regulating vasoactive substances. [26,27] Animal experiments using a rat model of migraine have confirmed that electroacupuncture can inhibit hyperalgesia by decreasing the number of mast cells and macrophages and serum levels of inflammatory factors.…”