Mapping migraine to a common brain network

Author:

Burke Matthew J123,Joutsa Juho145,Cohen Alexander L16ORCID,Soussand Louis1ORCID,Cooke Danielle1,Burstein Rami7,Fox Michael D189

Affiliation:

1. Berenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA

2. Harquail Centre for Neuromodulation and Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada

3. Neuropsychiatry Program, Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada

4. Turku Brain and Mind Center, Department of Neurology, University of Turku, Turku, Finland

5. Division of Clinical Neurosciences and Turku PET Center, Turku University Hospital, Turku, Finland

6. Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA

7. Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA

8. Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA

9. Athinoula A. Martinos Centre for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA

Abstract

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 t-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.

Funder

Sidney R. Baer, Jr. Foundation

NIH

Liu Fu Yu Charity Foundation

Nancy Lurie Marks Foundation

Mather’s Foundation

Academy of Finland

Finnish Medical Foundation

Publisher

Oxford University Press (OUP)

Subject

Neurology (clinical)

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