Volume 16 Supplement 1
O028. Thalamo-cortical network changes during the migraine cycle: insights from MRI-based microstructural and functional resting-state network correlation analysis
© Coppola et al. 2015
Published: 28 September 2015
Abnormal structural and functional plasticity in cortical and subcortical brain regions may be an important aspect of migraine pathophysiology. Resting state magnetic resonance imaging allows studying functionally interconnected brain networks. Whether there is a relation between the plasticity of resting state networks and integrity of thalamic microstructure during the migraine cycle is not known. To verify functional connectivity between brain networks at rest and its relationship with thalamic microstructure in migraine without aura (MO) patients during and between attacks.
Twenty-four patients with untreated MO underwent 3T MRI scans during (n=10) or between attacks (n=14) and were compared to a group of 15 healthy volunteers. We used MRI to collect resting state data among four selected resting state networks, identified using group independent component (IC) analysis. Fractional anisotropy (FA) values of bilateral thalami were retrieved from a previous diffusion tensor imaging study on the same group of subjects and correlated with resting state ICs Z-scores.
We found a significant reduced functional connectivity between the default mode network and the visuo-spatial system between attacks, and between the executive control network and the dorso-ventral attention system during attacks. When HV and migraine groups were combined, ictal and interictal selected ICs Z-scores correlated negatively with bilateral thalami FA values.
The present results are the first evidence supporting the hypothesis that abnormal dynamics of the connectivity between thalamus and functional cerebral networks at rest could contribute to the recurrence of migraine attacks.
Written informed consent to publication was obtained from the patient(s).
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.