A novel approach to the detection of synchronisation in EEG based on empirical mode decomposition

Sweeney-Reed, C. M. and Nasuto, S. J. ORCID: https://orcid.org/0000-0001-9414-9049 (2007) A novel approach to the detection of synchronisation in EEG based on empirical mode decomposition. Journal of Computational Neuroscience, 23 (1). pp. 79-111. ISSN 0929-5313 doi: 10.1007/s10827-007-0020-3

Abstract/Summary

Transient neural assemblies mediated by synchrony in particular frequency ranges are thought to underlie cognition. We propose a new approach to their detection, using empirical mode decomposition (EMD), a data-driven approach removing the need for arbitrary bandpass filter cut-offs. Phase locking is sought between modes. We explore the features of EMD, including making a quantitative assessment of its ability to preserve phase content of signals, and proceed to develop a statistical framework with which to assess synchrony episodes. Furthermore, we propose a new approach to ensure signal decomposition using EMD. We adapt the Hilbert spectrum to a time-frequency representation of phase locking and are able to locate synchrony successfully in time and frequency between synthetic signals reminiscent of EEG. We compare our approach, which we call EMD phase locking analysis (EMDPL) with existing methods and show it to offer improved time-frequency localisation of synchrony.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/15392
Item Type	Article
Refereed	Yes
Divisions	Life Sciences > School of Biological Sciences > Department of Bio-Engineering
Uncontrolled Keywords	EEG, Time-frequency, Coherence, Phase synchrony, Empirical mode, decomposition, TEMPORAL CORRELATION HYPOTHESIS, VISUAL FEATURE INTEGRATION, TIME-SERIES ANALYSIS, WAVELET COHERENCE, FIELD POTENTIALS, BRAIN, SIGNALS, PHASE-LOCKING, TRANSFORM, RESPONSES, CORTEX
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