An information theoretic approach to classify cognitive states using fMRI

Itir Onal, Mete Ozay, Orhan Firat, Ilke Öztekin, Fatos T.Yarman Vural

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this study, an information theoretic approach is proposed to model brain connectivity during a cognitive processing task, measured by functional Magnetic Resonance Imaging (fMRI). For this purpose, a local mesh of varying size is formed around each voxel. The arc weights of each mesh are estimated using a linear regression model by minimizing the squared error. Then, the optimal mesh size for each sample, that represents the information distribution in the brain, is estimated by minimizing various information criteria which employ the mean square error of linear regression model. The estimated mesh size shows the degree of locality or degree of connectivity of the voxels for the underlying cognitive process. The samples are generated during an fMRI experiment employing item recognition (IR) and judgment of recency (JOR) tasks. For each sample, estimated arc weights of the local mesh with optimal size are used to classify whether it belongs to IR or JOR tasks. Results indicate that the suggested connectivity model with optimal mesh size for each sample represent the information distribution in the brain better than the state-of-the art methods.

Original languageEnglish
Title of host publication13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013
DOIs
Publication statusPublished - 2013 Dec 1
Event13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013 - Chania, Greece
Duration: 2013 Nov 102013 Nov 13

Publication series

Name13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013

Other

Other13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013
CountryGreece
CityChania
Period13/11/1013/11/13

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

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