Enhanced functional connectivity between habenula and salience network in medication-overuse headache complicating chronic migraine positions it within the addiction disorders: an ICA-based resting-state fMRI study

Dai, Wei; Qiu, Enchao; Chen, Yun; Xing, Xiaohua; Wang, Xi; Zhang, Meichen; Li, Ké; Tian, Lihong; Dong, Zhao; Yu, Shengyuan

doi:10.1186/s10194-021-01318-3

Cited by 8 publications

(8 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The brain regions with increased FCD did not show changes in FC, which suggests that the increased FCD may be a transitory result of MOH (32). Our results (published in 2021) showed that patients with MOH and a history of chronic migraine, compared with the HCs and EM group, exhibited stronger FC of the bilateral habenular nuclei with the dorsal anterior cingulate cortices (dACC, a region in the salience network) and the bilateral insula/frontal operculum (33). As a core component of the brain anti-reward system, the lateral habenula receives input from limbic-forebrain and basal ganglia regions and sends output to the midbrain nucleus including the VTA and substantia nigra compacta (SNc) (34).…”

Section: Fmrimentioning

confidence: 43%

Medication overuse headache and substance use disorder: A comparison based on basic research and neuroimaging

Dai

Miao

et al. 2023

Front. Neurol.

Self Cite

View full text Add to dashboard Cite

It has yet to be determined whether medication overuse headache (MOH) is an independent disorder or a combination of primary headache and substance addiction. To further explore the causes of MOH, we compared MOH with substance use disorder (SUD) in terms of the brain regions involved to draw more targeted conclusions. In this review, we selected alcohol use disorder (AUD) as a representative SUD and compared MOH and AUD from two aspects of neuroimaging and basic research. We found that in neuroimaging studies, there were many overlaps between AUD and MOH in the reward circuit, but the extensive cerebral cortex damage in AUD was more serious than that in MOH. This difference was considered to reflect the sensitivity of the cortex structure to alcohol damage. In future research, we will focus on the central amygdala (CeA), prefrontal cortex (PFC), orbital-frontal cortex (OFC), hippocampus, and other brain regions for interventions, which may have unexpected benefits for addiction and headache symptoms in MOH patients.

show abstract

Section: Fmrimentioning

confidence: 43%

Medication overuse headache and substance use disorder: A comparison based on basic research and neuroimaging

Dai

Miao

et al. 2023

Front. Neurol.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Another study however demonstrated shared abnormalities of SN FC distinguishing both groups from HC, as well as FC alterations differentiating chronic migraine and chronic migraine with medication overuse (127). Furthermore, subjects with chronic migraine with medication overuse demonstrated heightened FC of the SN to bilateral habenulae compared with episodic migraine and HC (with no difference between episodic migraine and HC), which correlated with medication overuse duration (117). In an investigation of PACAP38-triggered migraine attacks, the authors demonstrated increased connectivity of SN seeds to right and left inferior frontal gyri during provoked attacks compared to baseline (56).…”

Section: Resultsmentioning

confidence: 99%

Functional magnetic resonance imaging in migraine: A systematic review

et al. 2023

View full text Add to dashboard Cite

Background Migraine is a highly prevalent primary headache disorder. Despite a high burden of disease, key disease mechanisms are not entirely understood. Functional magnetic resonance imaging is an imaging method using the blood-oxygen-level-dependent signal, which has been increasingly used in migraine research over recent years. This systematic review summarizes recent findings employing functional magnetic resonance imaging for the investigation of migraine. Methods We conducted a systematic search and selection of functional magnetic resonance imaging applications in migraine from April 2014 to December 2021 (PubMed and references of identified articles according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines). Methodological details and main findings were extracted and synthesized. Results Out of 224 articles identified, 114 were included after selection. Repeatedly emerging structures of interest included the insula, brainstem, limbic system, hypothalamus, thalamus, and functional networks. Assessment of functional brain changes in response to treatment is emerging, and machine learning has been used to investigate potential functional magnetic resonance imaging-based markers of migraine. Conclusions A wide variety of functional magnetic resonance imaging-based metrics were found altered across the brain for heterogeneous migraine cohorts, partially correlating with clinical parameters and supporting the concept to conceive migraine as a brain state. However, a majority of findings from previous studies have not been replicated, and studies varied considerably regarding image acquisition and analyses techniques. Thus, while functional magnetic resonance imaging appears to have the potential to advance our understanding of migraine pathophysiology, replication of findings in large representative datasets and precise, standardized reporting of clinical data would likely benefit the field and further increase the value of observations.

show abstract

“…In the study of Dai and colleagues [25], an increased functional connectivity between habenula and salience network was exhibited in CM relative to EM group. Habenula brings input from the hippocampus and basal ganglia structures, among others [49], while salience network (primarily composed of the anterior insula and dorsal ACC) collaborates in the integration of emotional and cognitive information [50].…”

Section: Evidence From Fmri Studiesmentioning

confidence: 92%

“…Of them, 22 were original articles, while 2 were review articles [14,15]. Results of the original articles were based on EEG (3 studies) [16][17][18], MEG (6 studies) [19][20][21][22][23][24], fMRI (10 studies) [25][26][27][28][29][30][31][32][33][34], and PET (3 studies) [35][36][37] (see Fig. 1c).…”

Section: Study Selection and Characteristicsmentioning

confidence: 99%

Headache-related circuits and high frequencies evaluated by EEG, MRI, PET as potential biomarkers to differentiate chronic and episodic migraine: Evidence from a systematic review

et al. 2022

View full text Add to dashboard Cite

Background The diagnosis of migraine is mainly clinical and self-reported, which makes additional examinations unnecessary in most cases. Migraine can be subtyped into chronic (CM) and episodic (EM). Despite the very high prevalence of migraine, there are no evidence-based guidelines for differentiating between these subtypes other than the number of days of migraine headache per month. Thus, we consider it timely to perform a systematic review to search for physiological evidence from functional activity (as opposed to anatomical structure) for the differentiation between CM and EM, as well as potential functional biomarkers. For this purpose, Web of Science (WoS), Scopus, and PubMed databases were screened. Findings Among the 24 studies included in this review, most of them (22) reported statistically significant differences between the groups of CM and EM. This finding is consistent regardless of brain activity acquisition modality, ictal stage, and recording condition for a wide variety of analyses. That speaks for a supramodal and domain-general differences between CM and EM that goes beyond a differentiation based on the days of migraine per month. Together, the reviewed studies demonstrates that electro- and magneto-physiological brain activity (M/EEG), as well as neurovascular and metabolic recordings from functional magnetic resonance imaging (fMRI) and positron emission tomography (PET), show characteristic patterns that allow to differentiate between CM and EM groups. Conclusions Although a clear brain activity-based biomarker has not yet been identified to distinguish these subtypes of migraine, research is approaching headache specialists to a migraine diagnosis based not only on symptoms and signs reported by patients. Future studies based on M/EEG should pay special attention to the brain activity in medium and fast frequency bands, mainly the beta band. On the other hand, fMRI and PET studies should focus on neural circuits and regions related to pain and emotional processing.

show abstract

Enhanced functional connectivity between habenula and salience network in medication-overuse headache complicating chronic migraine positions it within the addiction disorders: an ICA-based resting-state fMRI study

Cited by 8 publications

References 45 publications

Medication overuse headache and substance use disorder: A comparison based on basic research and neuroimaging

Medication overuse headache and substance use disorder: A comparison based on basic research and neuroimaging

Functional magnetic resonance imaging in migraine: A systematic review

Headache-related circuits and high frequencies evaluated by EEG, MRI, PET as potential biomarkers to differentiate chronic and episodic migraine: Evidence from a systematic review

Contact Info

Product

Resources

About