Back to Search Start Over

Thalamo-cortical network activity between migraine attacks: Insights from MRI-based microstructural and functional resting-state network correlation analysis.

Authors :
Coppola, Gianluca
Di Renzo, Antonio
Tinelli, Emanuele
Lepre, Chiara
Di Lorenzo, Cherubino
Di Lorenzo, Giorgio
Scapeccia, Marco
Parisi, Vincenzo
Serrao, Mariano
Colonnese, Claudio
Schoenen, Jean
Pierelli, Francesco
Source :
Journal of Headache & Pain. 10/24/2016, Vol. 17 Issue 1, p1-9. 9p.
Publication Year :
2016

Abstract

Background: Resting state magnetic resonance imaging allows studying functionally interconnected brain networks. Here we were aimed to verify functional connectivity between brain networks at rest and its relationship with thalamic microstructure in migraine without aura (MO) patients between attacks. Methods: Eighteen patients with untreated MO underwent 3 T MRI scans and were compared to a group of 19 healthy volunteers (HV). We used MRI to collect resting state data among two selected resting state networks, identified using group independent component (IC) analysis. Fractional anisotropy (FA) and mean diffusivity (MD) values of bilateral thalami were retrieved from a previous diffusion tensor imaging study on the same subjects and correlated with resting state ICs Z-scores. Results: In comparison to HV, in MO we found significant reduced functional connectivity between the default mode network and the visuo-spatial system. Both HV and migraine patients selected ICs Z-scores correlated negatively with FA values of the thalamus bilaterally. Conclusions: The present results are the first evidence supporting the hypothesis that an abnormal resting within networks connectivity associated with significant differences in baseline thalamic microstructure could contribute to interictal migraine pathophysiology. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
11292369
Volume :
17
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Headache & Pain
Publication Type :
Academic Journal
Accession number :
119027372
Full Text :
https://doi.org/10.1186/s10194-016-0693-y