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Dyslexia: Automated diagnosis by computerized classification of brain electrical activity
Author(s) -
Duffy Frank H.,
Denckla Martha B.,
Bartels Peter H.,
Sandini Giulio,
Kiessling Louise S.
Publication year - 1980
Publication title -
annals of neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.764
H-Index - 296
eISSN - 1531-8249
pISSN - 0364-5134
DOI - 10.1002/ana.410070506
Subject(s) - dyslexia , neurophysiology , psychology , neuroscience , audiology , artificial intelligence , computer science , medicine , reading (process) , political science , law
We describe a method for the diagnosis of dyslexia based upon a study of electronecephalographic and evoked potential data recoreded from 13 normal and 11 dyslexic boys. Measuremkents were made from topographic maps of brain electrical activity recorded during resting and activated testing conditions. Using a statistically based technique, we developed rules for classification that successfully diagnosed 80 to 90% of subjects not used in the initial rule development. The nature of the most useful measurements suggests that aberrant neurophysiology in dyslexia involves both hemispheres and is present at rest as well as during complex testing. The method has promise for future diagnosis and research.