Spatial localization of cortical time-frequency dynamics.

Sarang S. Dalal, Adrian G. Guggisberg, Erik Edwards, Kensuke Sekihara, Anne M. Findlay, Ryan T. Canolty, Robert T. Knight, Nicholas M. Barbaro, Heidi E. Kirsch, Srikantan S. Nagarajan

Research output: Contribution to journalArticle

Abstract

The spatiotemporal dynamics of cortical oscillations across human brain regions remain poorly understood because of a lack of adequately validated methods for reconstructing such activity from noninvasive electrophysiological data. We present a novel adaptive spatial filtering algorithm optimized for robust source time-frequency reconstruction from magnetoencephalography (MEG) and electroencephalography (EEG) data. The efficacy of the method is demonstrated with real MEG data from a self-paced finger movement task. The algorithm reliably reveals modulations both in the beta band (12-30 Hz) and a high gamma band (65-90 Hz) in sensorimotor cortex. The performance is validated by both across-subjects statistical comparisons and by intracranial electrocorticography (ECoG) data from two epilepsy patients. We also revealed observed high gamma activity in the cerebellum. The proposed algorithm is highly parallelizable and runs efficiently on modern high performance computing clusters. This method enables non-invasive five-dimensional imaging of space, time, and frequency activity in the brain and renders it applicable for widespread studies of human cortical dynamics.

Original languageEnglish (US)
Pages (from-to)4941-4944
Number of pages4
JournalConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
StatePublished - 2007
Externally publishedYes

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Magnetoencephalography
Brain
Computing Methodologies
Cluster computing
Electroencephalography
Cerebellum
Fingers
Epilepsy
Modulation
Imaging techniques

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

Spatial localization of cortical time-frequency dynamics. / Dalal, Sarang S.; Guggisberg, Adrian G.; Edwards, Erik; Sekihara, Kensuke; Findlay, Anne M.; Canolty, Ryan T.; Knight, Robert T.; Barbaro, Nicholas M.; Kirsch, Heidi E.; Nagarajan, Srikantan S.

In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2007, p. 4941-4944.

Research output: Contribution to journalArticle

Dalal, Sarang S. ; Guggisberg, Adrian G. ; Edwards, Erik ; Sekihara, Kensuke ; Findlay, Anne M. ; Canolty, Ryan T. ; Knight, Robert T. ; Barbaro, Nicholas M. ; Kirsch, Heidi E. ; Nagarajan, Srikantan S. / Spatial localization of cortical time-frequency dynamics. In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference. 2007 ; pp. 4941-4944.
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