A Peak-Clustering Method for MEG Group Analysis to Minimise Artefacts Due to Smoothness

Jessica R. Gilbert; Laura R. Shapiro; Gareth R. Barnes

doi:10.1371/journal.pone.0045084

Loading metrics

Open Access

Peer-reviewed

Research Article

A Peak-Clustering Method for MEG Group Analysis to Minimise Artefacts Due to Smoothness

Jessica R. Gilbert ,

* E-mail: gilberjr@aston.ac.uk (JRG); l.r.shapiro@aston.ac.uk (LRS)

Affiliation School of Life and Health Sciences, Aston University, Birmingham, United Kingdom
⨯
Laura R. Shapiro ,

* E-mail: gilberjr@aston.ac.uk (JRG); l.r.shapiro@aston.ac.uk (LRS)

Affiliation School of Life and Health Sciences, Aston University, Birmingham, United Kingdom
⨯
Gareth R. Barnes

Affiliation The Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom
⨯

A Peak-Clustering Method for MEG Group Analysis to Minimise Artefacts Due to Smoothness

Jessica R. Gilbert,
Laura R. Shapiro,
Gareth R. Barnes

Published: September 14, 2012
https://doi.org/10.1371/journal.pone.0045084

Reader Comments

Post a new comment on this article

Publisher's Note: Funding Omitted

Posted by PLOS_ONE_Group on 09 Feb 2013 at 00:08 GMT

The Funding section of the article was omitted. It can be found here: The MEG system was supported with funds from The Wellcome Trust. MEG running costs were supported by funding from the Dr Hadwen Trust for Humane Research. MRI data was courtesy of the Lord Dowding Fund for Humane Research. The first author was supported by an Aston University Life and Health Sciences School studentship. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

No competing interests declared.

Subject Areas
?

For more information about PLOS Subject Areas, click here.
We want your feedback. Do these Subject Areas make sense for this article? Click the target next to the incorrect Subject Area and let us know. Thanks for your help!

Ellipsoids
Is the Subject Area "Ellipsoids" applicable to this article?

Thanks for your feedback.
Algorithms
Is the Subject Area "Algorithms" applicable to this article?

Thanks for your feedback.
Imaging techniques
Is the Subject Area "Imaging techniques" applicable to this article?

Thanks for your feedback.
Magnetoencephalography
Is the Subject Area "Magnetoencephalography" applicable to this article?

Thanks for your feedback.
Covariance
Is the Subject Area "Covariance" applicable to this article?

Thanks for your feedback.
Simulation and modeling
Is the Subject Area "Simulation and modeling" applicable to this article?

Thanks for your feedback.
Clustering algorithms
Is the Subject Area "Clustering algorithms" applicable to this article?

Thanks for your feedback.
Signal to noise ratio
Is the Subject Area "Signal to noise ratio" applicable to this article?

Thanks for your feedback.

A Peak-Clustering Method for MEG Group Analysis to Minimise Artefacts Due to Smoothness

A Peak-Clustering Method for MEG Group Analysis to Minimise Artefacts Due to Smoothness

Reader Comments

Post Your Discussion Comment

Why should this posting be reviewed?

Thank You!

Publisher's Note: Funding Omitted

Posted by PLOS_ONE_Group on 09 Feb 2013 at 00:08 GMT