Connectivity graph analysis of the auditory resting state network in tinnitus

A. Maudoux, Ph. Lefebvre, J.-E. Cabay, A. Demertzi, A. Vanhaudenhuyse, S. Laureys, A. Soddu
2012 Brain Research  
Thirteen chronic tinnitus patients and fifteen age-matched healthy controls were studied on a 3 T magnetic resonance imaging (MRI) scanner during resting condition (i.e. eyes closed, no task performance). The auditory resting-state component was selected using an automatic component selection approach. Functional connectivity (correlations/anticorrelations) in the extracted network was portrayed by integrating the independent component analysis (ICA) approach with a graph theory method.
more » ... and control groups showed different graph connectivity patterns. In the control group, the connectivity graph was divided into two distinct anti-correlated networks. The first one encompassed the auditory cortices and the insula. The second one encompassed frontoparietal and anterior cingulate cortices, brainstem, amygdala, basal ganglia/nucleus accumbens and parahippocampal regions. In the tinnitus group, only one of the two previously described networks was observed, encompassing the auditory cortices and the insula. Direct group comparison showed, in the tinnitus group, an increased functional connectivity between auditory cortices and the left parahippocampal region surviving multiple comparisons. We investigated a possible correlation between four tinnitus relevant measures (tinnitus handicap inventory (THI) and tinnitus questionnaire (TQ) scores, tinnitus duration and tinnitus intensity during the scanning session) and the connectivity pattern in the tinnitus Keywords: fMRI Tinnitus Auditory resting-sate network Graph analysis Functional connectivity Independent component analysis (ICA) B R A I N R E S E A R C H X X ( 2 0 1 2 ) X X X -X X X
doi:10.1016/j.brainres.2012.05.006 pmid:22579727 fatcat:r4vplq5ovfajrlcbnjeyarwi4q