Refereed journal article or data article (A1)

Mapping migraine to a common brain network




List of Authors: Burke MJ, Joutsa J, Cohen AL, Soussand L, Cooke D, Burstein R, Fox MD

Publisher: OXFORD UNIV PRESS

Publication year: 2020

Journal: Brain

Journal name in source: BRAIN

Journal acronym: BRAIN

Volume number: 143

Issue number: 2

Number of pages: 13

ISSN: 0006-8950

eISSN: 1460-2156

DOI: http://dx.doi.org/10.1093/brain/awz405

Self-archived copy’s web address: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7009560/


Abstract
Inconsistent findings from migraine neuroimaging studies have limited attempts to localize migraine symptomatology. Novel brain network mapping techniques offer a new approach for linking neuroimaging findings to a common neuroanatomical substrate and localizing therapeutic targets. In this study, we attempted to determine whether neuroanatomically heterogeneous neuroimaging findings of migraine localize to a common brain network. We used meta-analytic coordinates of decreased grey matter volume in migraineurs as seed regions to generate resting state functional connectivity network maps from a normative connectome (n = 1000). Network maps were overlapped to identify common regions of connectivity across all coordinates. Specificity of our findings was evaluated using a whole-brain Bayesian spatial generalized linear mixed model and a region of interest analysis with comparison groups of chronic pain and a neurologic control (Alzheimer's disease). We found that all migraine coordinates (11/11, 100%) were negatively connected (t >= +/- 7, P < 10(-6) family-wise error corrected for multiple comparisons) to a single location in left extrastriate visual cortex overlying dorsal V3 and V3A subregions. More than 90% of coordinates (10/11) were also positively connected with bilateral insula and negatively connected with the hypothalamus. Bayesian spatial generalized linear mixed model whole-brain analysis identified left V3/V3A as the area with the most specific connectivity to migraine coordinates compared to control coordinates (voxel-wise probability of >= 90%). Post hoc region of interest analyses further supported the specificity of this finding (ANOVA P = 0.02; pairwise f-tests P = 0.03 and P = 0.003, respectively). In conclusion, using coordinate-based network mapping, we show that regions of grey matter volume loss in migraineurs localize to a common brain network defined by connectivity to visual cortex V3/V3A, a region previously implicated in mechanisms of cortical spreading depression in migraine. Our findings help unify migraine neuroimaging literature and offer a migraine-specific target for neuromodulatory treatment.


Last updated on 2022-21-02 at 11:17