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Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
Published on: November 1, 2019
Adaptive strategy for the statistical analysis of connectomes
Djalel Eddine Meskaldji1, Marie-Christine Ottet, Leila Cammoun
1Signal Processing Laboratory, LTS5, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. djalel.meskaldji@epfl.ch
Plos One
|August 11, 2011
Summary
This study introduces a novel statistical method for analyzing brain networks (connectomes) by examining subnetworks. This approach offers greater statistical power for detecting differences in brain connectivity, particularly in conditions like 22q11.2 deletion syndrome.
Area of Science:
- Neuroscience
- Statistical analysis
- Network science
Background:
- Brain networks are complex and analyzing them requires sophisticated statistical methods.
- Current methods often focus on global or individual connection analyses, potentially missing intermediate-level patterns.
- Understanding brain connectivity is crucial for neurological and psychiatric research.
Purpose of the Study:
- To develop and validate an adaptive statistical approach for analyzing brain networks (connectomes).
- To investigate brain connectivity patterns at the subnetwork level, bridging global and individual connection analyses.
- To apply this method to compare brain connectivity in individuals with and without 22q11.2 deletion syndrome, stratified by IQ.
Main Methods:
- The approach analyzes subnetworks within the global brain network, considering both inter- and intra-regional connectivity.
- A summary statistic is computed for each subnetwork, followed by a statistical test to derive p-values.
- p-values are corrected for multiple comparisons to control false discovery rates, followed by local investigation of significant subnetworks.
Main Results:
- The proposed subnetwork analysis strategy demonstrates potential for increased statistical power compared to individual connection analyses.
- The method is particularly effective when subnetworks are well-defined and appropriate summary statistics are selected.
- Application to 22q11.2 deletion syndrome revealed differences in structural brain connectivity related to IQ scores.
Conclusions:
- The adaptive statistical approach offers a powerful tool for analyzing brain connectomes at the subnetwork level.
- This method enhances the ability to detect subtle but significant alterations in brain connectivity.
- The findings highlight the utility of this approach in understanding neurodevelopmental disorders and their cognitive correlates.
