Caractérisation de la microstructure corticale par IRM multimodale : application à l'étude de la mutation SYN1_Q555X
A mutation of the SYN1 gene has recently been discovered in several members of a large French-Canadian family segregating language disorders, focal epilepsy, and autism spectrum disorders (ASD). Although no apparent macroscopic abnormality could be identified in brain magnetic resonance imaging (MRI) data, we hypothesized that quantitative MRI modalities sensitive to tissue microstructure and composition could allow the identification of subtle anomalies.  We acquired multimodal MRI data from 13 SYN1_Q555x mutation carriers and 13 healthy controls matched for age and sex. A surface-based group statistical analysis was performed on the cortical parametric maps to characterize the effect of the mutation on several quantitative physical parameters.  In summary, alterations were found in the language network, as well as abnormal lateralization of the latter over the right hemisphere. The most significant changes in these regions are a decrease in mean diffusivity and an increase in fractional anisotropy. A biophysical model is proposed to explain these results, which suggest an increase in neuropil density or volume fraction.  This study is, to our knowledge, the first to successfully use diffusion imaging and multiparametric mapping in a surface-based approach to detect cortical anomalies in a group of subjects with a well-defined genotype linked to language impairments, epilepsy and ASD.   Importantly, this study also shows that diffusion MRI, although traditionally seen as a white matter modality, can effectively be used in a surface-based approach to characterize subtle cortical pathology not detectable otherwise, even when only a relatively small group of subjects is available.
IRM diffusion dyslexie microstructure cortex mutation multiparametric dyslexia epilepsy autism genetics