Functional Brain Mapping by Methods of Evolutionary Natural Selection

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

Al Rawi, MS (Author) Other; Cunha, JPS (Author) FEUP

Conference proceedings International

Title: COMPUTER ANALYSIS OF IMAGES AND PATTERNS: 14TH INTERNATIONAL CONFERENCE, CAIP 2011, PT 2

Pages: 293-299

14th International Conference on Computer Analysis of Images and Patterns (CAIP)

Seville, SPAIN, AUG 29-31, 2011

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Other information

Authenticus ID: P-002-WSR

DOI: 10.1007/978-3-642-23678-5_34

Abstract (EN): We used genetic algorithms to detect active voxels in the human brain imaged using functional magnetic resonance images. The method that we called EVOX deploys multivoxel pattern analysis to find the fitness of most active voxels. The fitness function is a classifier that works in a leave-one-run-out cross-validation. In each generation, the fitness value is calculated as the average performance over all cross-validation folds. Experimental results using functional magnetic resonance images collected while humans (subjects) were responding to attention visual stimuli showed certain situations that EVOX has could be useful compared to univariate ANOVA (analysis of variance) and searchlight methods. EVOX is an effective multivoxel evolutionary tool that can be used to tell where in the brain patterns responding to stimuli are.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7