Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2

Authors:
Rodolfo V. García;Fernando Rojas;Jesús González;Belén San Román;Olga Valenzuela;Alberto Prieto;Luis Velázquez;Roberto Rodríguez
Affiliations:
Network Department, U. of Holguín, Spanish MAEC-AECID fellowship, Cuba;Department of Computer Architecture and Technology, U. of Granada, Spain;Department of Computer Architecture and Technology, U. of Granada, Spain;PhD Student, University of Granada, Spain;Department of Applied Mathematics, University of Granada, Spain;Department of Computer Architecture and Technology, U. of Granada, Spain;Centre for the Research and Rehabilitation of Hereditary Ataxias "Carlos J. Finlay", Holguín, Cuba;Centre for the Research and Rehabilitation of Hereditary Ataxias "Carlos J. Finlay", Holguín, Cuba
Venue:
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Year:
2009

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Abstract

Precedent studies have found abnormalities in the oculomotor system in patients with severe SCA2 form of autosomal dominant cerebellar ataxias (ADCA), including the latency, peak velocity, and deviation in saccadic movements, and causing changes in the morphology of the patient response waveform. This different response suggests a higher degree of statistic independence in sick patients when compared to healthy individuals regarding the patient response to the visual saccadic stimulus. We processed electro-oculogram records of six patient diagnosed with severe ataxia SCA2 and six healthy subjects used as control, employing independent component analysis (ICA), significant differences have been found in the statistical independence of the person response with the stimulus for 60° saccadic tests.