Computational Intelligence and Neuroscience

Academic Software Applications for Electromagnetic Brain Mapping Using MEG and EEG

Publishing date
01 Mar 2011
Submission deadline
01 Sep 2010

Lead Editor

1Department of Neurology & Biophysics, Medical College of Wisconsin, WI, USA

2Wellcome Trust Centre for Neuroimaging, London, UK

3Donders Centre for Cognitive Neuroimaging Radboud University Nijmegen, The Netherlands

Academic Software Applications for Electromagnetic Brain Mapping Using MEG and EEG


The field of Magnetoencephalography (MEG) and Electroencephalography (EEG) source imaging is maturing rapidly. This scientific growth is accompanied by a variety of complementary and/or concurrent software solutions from the academic world.

The objective of this CIN Special Issue is to help the neuroimaging obtain an overview of state-of-the-art academic software applications for MEG/EEG data analysis, how they differ and interact, and of upcoming methodological trends and technical developments; the topics to be covered include, but are not limited to, academic software solutions for:

  • MEG and EEG data acquisition
  • Data preprocessing, that is, filtering, artifact detection, rejection or correction, trial sorting, averaging
  • Segmentation and geometrical modeling of head tissues
  • Computational electromagnetics for MEG/EEG forward modeling
  • MEG/EEG source analysis
  • Statistical appraisal and inference: confidence intervals on measures and hypothesis testing
  • Identification and evaluation of evoked, induced event-related brain responses and ongoing brain activity
  • Time-frequency decompositions, advanced spectral analysis, time series modeling
  • Estimation of functional and effective connectivity

Authors should provide detailed information regarding their software toolbox or application by addressing the following topics: open source software (yes/no), i/o file formats available, operating system, Matlab required (yes/no), interoperability with other software, and so forth.

Further, the software needs to be available for download free of charge at the time of manuscript submission, with sufficient documentation provided online to be able to reproduce the data analysis featured in the manuscript.

Before submission authors should carefully read over the journal's Author Guidelines, which are located at Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at according to the following timetable:

Computational Intelligence and Neuroscience
 Journal metrics
Acceptance rate28%
Submission to final decision79 days
Acceptance to publication37 days
Impact Factor2.284

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