A framework to support automated classification and labeling of brain electromagnetic patterns

Gwen A. Frishkoff, Robert M. Frank, Jiawei Rong, Dejing Dou, Joseph Dien, Laura K. Halderman

Research output: Contribution to journalArticle

Abstract

This paper describes a framework for automated classification and labeling of patterns in electroencephalographic (EEG) and magnetoencephalographic (MEG) data. We describe recent progress on four goals: 1) specification of rules and concepts that capture expert knowledge of event-related potentials (ERP) patterns in visual word recognition; 2) implementation of rules in an automated data processing and labeling stream; 3) data mining techniques that lead to refinement of rules; and 4) iterative steps towards system evaluation and optimization. This process combines top-down, or knowledge-driven, methods with bottom-up, or data-driven, methods. As illustrated here, these methods are complementary and can lead to development of tools for pattern classification and labeling that are robust and conceptually transparent to researchers. The present application focuses on patterns in averaged EEG (ERP) data. We also describe efforts to extend our methods to represent patterns in MEG data, as well as EM patterns in source (anatomical) space. The broader aim of this work is to design an ontology-based system to support cross-laboratory, cross-paradigm, and cross-modal integration of brain functional data. Tools developed for this project are implemented in MATLAB and are freely available on request.

Original languageEnglish (US)
Article number14567
JournalComputational Intelligence and Neuroscience
Volume2007
DOIs
StatePublished - 2007
Externally publishedYes

Fingerprint

Electromagnetic Phenomena
Labeling
Brain
Event-related Potentials
Evoked Potentials
MATLAB
Pattern recognition
Data Mining
Data mining
Ontology
Functional Data
Pattern Classification
Specifications
Bottom-up
Data-driven
Research Personnel
Refinement
Paradigm
Framework
Specification

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)
  • Neuroscience(all)

Cite this

A framework to support automated classification and labeling of brain electromagnetic patterns. / Frishkoff, Gwen A.; Frank, Robert M.; Rong, Jiawei; Dou, Dejing; Dien, Joseph; Halderman, Laura K.

In: Computational Intelligence and Neuroscience, Vol. 2007, 14567, 2007.

Research output: Contribution to journalArticle

Frishkoff, Gwen A. ; Frank, Robert M. ; Rong, Jiawei ; Dou, Dejing ; Dien, Joseph ; Halderman, Laura K. / A framework to support automated classification and labeling of brain electromagnetic patterns. In: Computational Intelligence and Neuroscience. 2007 ; Vol. 2007.
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