Toward fMRI Group Identification Based on Brain Lateralization

— This research presents a novel application of Lateralization Index (LI) in support of a decision making process for the classification of subjects based on their brain activation patterns using Functional Magnetic Resonance Imaging (fMRI) datasets. The decision process considers the subject grouping based on additional spatial information provided by the LI behavior for each individual when calculated for specific Broca’s and Wernicke’s language areas. The presented results were obtained applying the LI concept to assess the activation pattern on both control and Localizationrelated epilepsy (LRE) subjects obtained during the execution of the language network oriented paradigm referred to as the “auditory description decision task” (ADDT). Upon assessing 114 datasets, activation was observed on 103 (90%) of them, while 11 (10%) showed no activation. Among these 103 datasets, 64 (62%) datasets were presumed as control data and 39 (38%) were presumed as LRE data. The data was...

• Type: Conference
• Year: 2009
• Where: AINA
• Authors: Magno R. Guillen, Malek Adjouadi, Xiaozhen You, Armando Barreto, Naphtali Rishe, William Gaillard
• Keywords: Activation Pattern, AINA 2009, Brain Activation, Computer Networks, LRE Data