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Related Experiment Video

Updated: Jun 3, 2026

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
06:50

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

EEG and MEG data analysis in SPM8.

Vladimir Litvak1, Jérémie Mattout, Stefan Kiebel

  • 1The Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, Queen Square, London, UK. v.litvak@ion.ucl.ac.uk

Computational Intelligence and Neuroscience
|March 26, 2011
PubMed
Summary
This summary is machine-generated.

Statistical Parametric Mapping (SPM) offers advanced neuroimaging analysis tools. This software enables statistical analysis, Bayesian source reconstruction, and dynamic causal modeling for M/EEG and fMRI data.

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Area of Science:

  • Neuroimaging analysis
  • Computational neuroscience
  • Open-source scientific software

Background:

  • Statistical Parametric Mapping (SPM) is a widely used, free, and open-source software package for the analysis of brain imaging data.
  • It is implemented in MATLAB and offers a comprehensive suite of tools for various neuroimaging modalities.

Purpose of the Study:

  • To introduce the capabilities of SPM, focusing on its advanced analysis tools for M/EEG and fMRI data.
  • To highlight the integration of SPM with other toolboxes like FieldTrip for enhanced functionality.

Main Methods:

  • Statistical analysis of M/EEG data using the general linear model with random field theory for multiple comparisons correction.
  • Bayesian M/EEG source reconstruction, supporting group studies, simultaneous EEG/MEG, and fMRI priors.
  • Dynamic Causal Modelling (DCM) for analyzing neural dynamics and connectivity, with variants for different response types.

Main Results:

  • SPM provides robust statistical analysis of scalp maps, time-frequency images, and source reconstruction images.
  • Bayesian source reconstruction offers advanced capabilities for complex M/EEG data analysis.
  • DCM facilitates the integration of neural modeling with data analysis for understanding brain function.

Conclusions:

  • SPM is a powerful and versatile software for advanced neuroimaging analysis, particularly for M/EEG and fMRI.
  • Its integration with tools like FieldTrip and its GUI/batching capabilities enhance user flexibility and custom analysis development.