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Published on: August 12, 2019
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Connectome analysis for pre-operative brain mapping in neurosurgery
Michael G Hart1,2, Stephen J Price2, John Suckling3
1a Brain Mapping Unit, Department of Psychiatry , University of Cambridge, Sir William Hardy Building , Cambridge , UK ;
British Journal of Neurosurgery
|July 23, 2016
Summary
Brain tumor patients show altered brain connectivity patterns using connectome analysis. This novel approach reveals network vulnerabilities and aids in pre-surgical planning by identifying critical brain regions.
Area of Science:
- Neuroscience
- Network Science
- Medical Imaging
Background:
- Brain mapping is evolving towards understanding complex network connectivity.
- The connectome, or the brain's wiring diagram, is crucial for network function analysis.
- Graph theory aids in understanding regional importance and the impact of impairments.
Purpose of the Study:
- To apply connectome analysis in brain tumor patients.
- To characterize overall network topology and individual connectivity alterations.
- To assess the feasibility of connectome analysis for pre-surgical planning.
Main Methods:
- Resting-state functional MRI data acquired pre-operatively from glioblastoma patients.
- Brain parcellation into anatomical regions.
- Identification of connections using wavelet decomposed time-series correlations.
Main Results:
- Preserved small-world network organization in patients.
- Network robustness with vulnerable hubs identified.
- Tumors caused reduced local and long-range connectivity with location-dependent patterns.
Conclusions:
- Connectome analysis is a feasible method for brain mapping in individual brain tumor patients.
- Applications include pre-surgical planning to preserve critical regions and identify at-risk connections.
- Future use for modeling functional plasticity and cognitive recovery.
