Corticocortical coherence: Difference between revisions
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'''Corticocortical Coherence''' is referred to the synchrony in the neural activity of different cortical brain areas. The neural activities are picked up by electrophysiological recordings from the brain (e.g. [[Electroencephalography|EEG]], [[Magnetoencephalography|MEG]], [[Electrocorticography|ECoG]], etc.). It is a method to study the brain's neural function at rest or during functional tasks. |
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== Physiology == |
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Corticocortical Coherence was initially reported between EEG [? ...] and is widely studied using [[Electroencephalography|EEG]] and [[Magnetoencephalography|MEG]] recording. |
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The origins of corticocortical is under active investigation. |
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Corticocortical coherence has been of special interest in delta, theta, alpha, beta and gamma frequency bands (commonly used for EEG studies) . |
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== Mathematics and Statistics == |
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A classic and commonly used approach to assess the synchrony between neural signals is to use [[Coherence (signal processing)|Coherence]].<ref>Halliday, D. M., Rosenberg, J. R., Amjad, A. M., Breeze, P., Conway, B. A., & Farmer, S. F. (1995). A framework for the analysis of mixed time series/point process data—Theory and application to the study of physiological tremor, single motor unit discharges and electromyograms. Progress in Biophysics and Molecular Biology, 64(2–3), 237–278. http://doi.org/10.1016/S0079-6107(96)00009-0</ref> |
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Statistical significance of coherence is found as function of number of data segments with assumption of the signals' normal distribution.<ref>Halliday, D. M., & Rosenberg, J. R. (1999). Time and frequency domain analysis of spike train and time series data. In Modern techniques in neuroscience research (pp. 503–543). Springer. Retrieved from http://doi.org/10.1007/978-3-642-58552-4_18</ref> Altrnatively non-parametric techniques such as bootstrapping can be used. |
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== See also == |
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* [[Intermuscular coherence]] |
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* [[Corticomuscular coherence]] |
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== External links == |
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* [http://neurospec.org/ Neurspec Toolbox for MATLAB] |
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Revision as of 12:34, 15 March 2017
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Corticocortical Coherence is referred to the synchrony in the neural activity of different cortical brain areas. The neural activities are picked up by electrophysiological recordings from the brain (e.g. EEG, MEG, ECoG, etc.). It is a method to study the brain's neural function at rest or during functional tasks.
Physiology
Corticocortical Coherence was initially reported between EEG [? ...] and is widely studied using EEG and MEG recording.
The origins of corticocortical is under active investigation.
Corticocortical coherence has been of special interest in delta, theta, alpha, beta and gamma frequency bands (commonly used for EEG studies) .
Mathematics and Statistics
A classic and commonly used approach to assess the synchrony between neural signals is to use Coherence.[1]
Statistical significance of coherence is found as function of number of data segments with assumption of the signals' normal distribution.[2] Altrnatively non-parametric techniques such as bootstrapping can be used.
See also
External links
- ^ Halliday, D. M., Rosenberg, J. R., Amjad, A. M., Breeze, P., Conway, B. A., & Farmer, S. F. (1995). A framework for the analysis of mixed time series/point process data—Theory and application to the study of physiological tremor, single motor unit discharges and electromyograms. Progress in Biophysics and Molecular Biology, 64(2–3), 237–278. http://doi.org/10.1016/S0079-6107(96)00009-0
- ^ Halliday, D. M., & Rosenberg, J. R. (1999). Time and frequency domain analysis of spike train and time series data. In Modern techniques in neuroscience research (pp. 503–543). Springer. Retrieved from http://doi.org/10.1007/978-3-642-58552-4_18