Abstract #4638

Detecting and characterizing abnormal brain lateralization using quantitative MRI in clinical practice

Gian Franco Piredda^1,2,3, Baptiste Morel^4,5, Maximilien Perivier^4,5, Clovis Tauber⁴, Jean Philippe Cottier⁴, Jean-Philippe Thiran^2,3, Bénédicte Maréchal^1,2,3, Tom Hilbert^1,2,3, and Tobias Kober^1,2,3

¹Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, ²Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, ³LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, ⁴UMR 1253, iBrain, Université de Tours, Inserm, Tours, France, ⁵Pediatric Radiology Department, Clocheville Hospital, CHRU of Tours, Tours, France

The right-left lateralization of cognitive abilities in the human brain is reflected in hemispheric asymmetries. Since abnormal deviations of these asymmetries were linked to neurological disorders, establishing reference norms of hemispheric lateralization has clinical relevance. To this end, the normal evolution of brain asymmetries during development was modelled in a cohort of healthy young subjects. Normative ranges for brain asymmetries in volumes and T₁ were established using a linear model while accounting for sex differences and age. Initial results in data of epileptic patients demonstrate the potential of the established norms for detecting abnormal brain lateralization on a single-subject basis.

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