Ontology-Based Mining of Brainwaves: A Sequence Similarity Technique for Mapping Alternative Features in Event-Related Potentials (ERP) Data

In this paper, we present a method for identifying correspondences, or mappings, between alternative features of brainwave activity in event-related potentials (ERP) data The goal is to simulate mapping across results from heterogeneous methods that might be used in different neuroscience research labs The input to the mapping consists of two ERP datasets whose spatiotemporal characteristics are captured by alternative sets of features, that is, summary spatial and temporal measures capturing distinct neural patterns that are linked to concepts in a set of ERP ontologies, called NEMO (Neural ElectroMagnetic Ontologies) [3, 6] The feature value vector of each summary metric is transformed into a point-sequence curve, and clustering is performed to extract similar subsequences (clusters) representing the neural patterns that can then be aligned across datasets Finally, the similarity between measures is derived by calculating the similarity between corresponding point-sequence curves Experiment results showed that the proposed approach is robust and has achieved significant improvement on precision than previous algorithms.

[1]  Heiner Stuckenschmidt,et al.  Ontology-Based Integration of Information - A Survey of Existing Approaches , 2001, OIS@IJCAI.

[2]  Dejing Dou,et al.  A Framework to Support Automated Classification and Labeling of Brain Electromagnetic Patterns , 2007, Comput. Intell. Neurosci..

[3]  E. Donchin.  Multivariate analysis of event-related potential data: A tutorial review , 1978 .

[4]  Pedro M. Domingos,et al.  iMAP: discovering complex semantic matches between database schemas , 2004, SIGMOD '04.

[5]  Pedro M. Domingos,et al.  Reconciling schemas of disparate data sources: a machine-learning approach , 2001, SIGMOD '01.

[6]  AnHai Doan,et al.  iMAP: Discovering Complex Mappings between Database Schemas. , 2004, SIGMOD 2004.

[7]  Dejing Dou,et al.  Development of Neural Electromagnetic Ontologies (NEMO): Ontology-based Tools for Representation and Integration of Event-related Brain Potentials , 2009 .

[8]  Marianne Winslett,et al.  Scientific and Statistical Database Management, 21st International Conference, SSDBM 2009, New Orleans, LA, USA, June 2-4, 2009, Proceedings , 2009, SSDBM.

[9]  Eamonn J. Keogh,et al.  On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration , 2002, Data Mining and Knowledge Discovery.

[10]  J. R. Hughes.  Multidisciplinary perspectives in event-related brain potential research , 1980 .

[11]  Christos Faloutsos,et al.  Efficient Similarity Search In Sequence Databases , 1993, FODO.

[12]  Hans-Peter Kriegel,et al.  Efficient processing of spatial joins using R-trees , 1993, SIGMOD Conference.

[13]  Chris Clifton,et al.  SEMINT: A tool for identifying attribute correspondences in heterogeneous databases using neural networks , 2000, Data Knowl. Eng..

[14]  E. Donchin,et al.  A componential analysis of the ERP elicited by novel events using a dense electrode array. , 1999, Psychophysiology.

[15]  David B. Lomet,et al.  Foundations of Data Organization and Algorithms , 1993, Lecture Notes in Computer Science.

[16]  Dejing Dou,et al.  Ontology Database: A New Method for Semantic Modeling and an Application to Brainwave Data , 2008, SSDBM.

[17]  Chris Clifton,et al.  Semantic Integration in Heterogeneous Databases Using Neural Networks , 1994, VLDB.

[18]  Margot J. Taylor,et al.  Guidelines for using human event-related potentials to study cognition: recording standards and publication criteria. , 2000, Psychophysiology.

[19]  Erhard Rahm,et al.  A survey of approaches to automatic schema matching , 2001, The VLDB Journal.

[20]  Chun Zhang,et al.  Storing and querying ordered XML using a relational database system , 2002, SIGMOD '02.

[21]  James A. Larson,et al.  A tool for integrating conceptual schemas and user views , 1988, Proceedings. Fourth International Conference on Data Engineering.

[22]  James A. Larson,et al.  A Theory of Attribute Equivalence in Databases with Application to Schema Integration , 1989, IEEE Trans. Software Eng..

[23]  Allen D. Malony,et al.  Development of NeuroElectroMagnetic ontologies(NEMO): a framework for mining brainwave ontologies , 2007, KDD '07.

[24]  M G Coles,et al.  A procedure for using multi-electrode information in the analysis of components of the event-related potential: vector filter. , 1989, Psychophysiology.

[25]  Christos Faloutsos,et al.  Spatial join selectivity using power laws , 2000, SIGMOD '00.