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Related Experiment Video

Updated: Jun 25, 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

Source connectivity analysis with MEG and EEG.

Jan-Mathijs Schoffelen1, Joachim Gross

  • 1Centre for Cognitive Neuroimaging, Department of Psychology, University of Glasgow, 58 Hillhead Street, Glasgow, United Kingdom. j.schoffelen@psy.gla.ac.uk

Human Brain Mapping
|February 25, 2009
PubMed
Summary
This summary is machine-generated.

Investigating brain region interactions using Magnetoencephalography (MEG) and electroencephalography (EEG) requires analyzing source-level data, not raw sensor signals. While source analysis methods show promise, potential field spread effects necessitate careful interpretation of neuronal connectivity findings.

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Last Updated: Jun 25, 2026

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Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

Published on: July 26, 2019

Area of Science:

  • Neuroscience
  • Brain Imaging
  • Computational Neuroscience

Background:

  • Brain function relies on interactions between specialized regions.
  • Magnetoencephalography (MEG) and electroencephalography (EEG) offer millisecond-range, whole-head brain activity measurements.
  • Direct sensor-level connectivity analysis is limited by field spread, where multiple sensors detect activity from a single source.

Purpose of the Study:

  • To review methods for investigating neuronal interactions in source space using MEG and EEG.
  • To focus on connectivity measures and region identification strategies.
  • To highlight the importance of source-level analysis for understanding brain connectivity.

Main Methods:

  • Review of existing methodologies for MEG and EEG source connectivity analysis.
  • Focus on quantifying connectivity between reconstructed neuronal sources.
  • Examination of strategies for defining regions of interest in source space.

Main Results:

  • Source-level analysis is recommended over sensor-level analysis for studying neuronal interactions due to field spread limitations.
  • Various methods and strategies exist for investigating brain region connectivity in source space.
  • Successful applications of MEG and EEG source connectivity have been demonstrated.

Conclusions:

  • While source-level analysis improves upon sensor-level data, field spread effects cannot be entirely eliminated.
  • Researchers should proceed with caution when interpreting MEG and EEG source connectivity results.
  • Continued research in this developing field is encouraged to advance understanding of neuronal interactions.