How to use fMRI functional localizers to improve EEG/MEG source estimation.
How to use fMRI functional localizers to improve EEG/MEG source estimation.
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DOI:
10.1016/j.jneumeth.2014.07.015
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发表时间:
2015-07-30
影响因子:
3
通讯作者:
Norcia, Anthony M.
中科院分区:
文献类型:
--
作者:
Cottereau, Benoit R.;Ales, Justin M.;Norcia, Anthony M.
EEG and MEG have excellent temporal resolution, but the estimation of the neural sources that generate the signals recorded by the sensors is a difficult, ill-posed problem. The high spatial resolution of functional MRI makes it an ideal tool to improve the localization of the EEG/MEG sources using data fusion. However, the combination of the two techniques remains challenging, as the neural generators of the EEG/MEG and BOLD signals might in some cases be very different. Here we describe a data fusion approach that was developed by our team over the last decade in which fMRI is used to provide source constraints that are based on functional areas defined individually for each subject. This mini-review describes the different steps that are necessary to perform source estimation using this approach. It also provides a list of pitfalls that should be avoided when doing fMRI-informed EEG/MEG source imaging. Finally, it describes the advantages of using a ROI-based approach for group-level analysis and for the study of sensory systems.
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影响因子:
5.7
作者:
Cottereau BR;Ales JM;Norcia AM
通讯作者:
Norcia AM
影响因子:
4.3
作者:
Benson NC;Butt OH;Brainard DH;Aguirre GK
通讯作者:
Aguirre GK
影响因子:
3.7
作者:
Cardin V;Sherrington R;Hemsworth L;Smith AT
通讯作者:
Smith AT
影响因子:
2.5
作者:
Cottereau,Benoit R.;McKee,Suzanne P.;Norcia,Anthony M.
通讯作者:
Norcia,Anthony M.
DOI:
10.1523/jneurosci.3795-10.2011
发表时间:
2011-01-19
期刊:
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子:
--
作者:
Cottereau BR;McKee SP;Ales JM;Norcia AM
通讯作者:
Norcia AM