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Abstract #4638

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

Gian Franco Piredda1,2,3, Baptiste Morel4,5, Maximilien Perivier4,5, Clovis Tauber4, Jean Philippe Cottier4, Jean-Philippe Thiran2,3, Bénédicte Maréchal1,2,3, Tom Hilbert1,2,3, and Tobias Kober1,2,3
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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