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Conference proceedings article

Title Multivariate pattern analysis of brain structure: a diagnostic tool for Neurofibromatosis type 1
Author João Duarte, Maria Ribeiro, Inês Violante, Gil Cunha, Mohammed S. Al-Rawi, João Paulo Cunha, Miguel Castelo-Branco
Booktitle 1st Portuguese Meeting in Bioengineering
Address Portuguese chapter of IEEE EMBS
Month February
Year 2011
Group (before 2015) Signal Processing Laboratory
Indexed by ISI Not known yet
Scope National

Neurofibromatosis type 1 (NF1) is a genetic disorder characterized by increased predisposition for tumor development and cognitive deficits. In this work, we used maps of grey matter density obtained from Magnetic Resonance (MR) brain structural scans to distinguish between NF1 patients and healthy controls with a multivariate pattern analysis technique, Support Vector Machines. Up to 83% of all participants were correctly classified (mean sensitivity of 82%; mean specificity of 84%; significance level p < 0.01). This high level of classification accuracy of NF1 patients suggests this technique as a potential diagnostic tool. In addition, we determined the brain regions that the algorithm used to distinguish between NF1 patients and healthy controls. These regions were not identified as abnormal using univariate voxel-by-voxel comparison indicating that multivariate techniques are a useful powerful tool with which to identify potential structural defects in the NF1 brain.