Local field potentials (LFPs) recorded from implanted deep brain electrodes demonstrated the oscillatory nature of human basal ganglia. LFP rhythms were mainly characterized by means od power spectral analysis, thus loosing information related to rhythm phase synchronization and to event related phase modulations. Because the application of higher-order spectral analysis methodology can overcome such limitation, here we review the present applications of bispectral and cross-bispectral analysis to LFP recordings. The results obtained up to now showed that higher-order spectral analysis was able to clarify detect different rhythm synchronizations and interactions characterizing different pathologies and patient’s states.

Application of higher-order spectral analysis to local field potentials recorded in patients treated with deep brain stimulation

MARCEGLIA, SARA RENATA FRANCESCA;BIANCHI, ANNA MARIA;CERUTTI, SERGIO
2015

Abstract

Local field potentials (LFPs) recorded from implanted deep brain electrodes demonstrated the oscillatory nature of human basal ganglia. LFP rhythms were mainly characterized by means od power spectral analysis, thus loosing information related to rhythm phase synchronization and to event related phase modulations. Because the application of higher-order spectral analysis methodology can overcome such limitation, here we review the present applications of bispectral and cross-bispectral analysis to LFP recordings. The results obtained up to now showed that higher-order spectral analysis was able to clarify detect different rhythm synchronizations and interactions characterizing different pathologies and patient’s states.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
9781424492718
9781424492718
Signal Processing; Biomedical Engineering; Health Informatics
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/984902
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