Subdivision of Broca's region based on individual-level functional connectivity
Estrid Jakobsen1, Joachim Böttger1, Pierre Bellec2
1Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstrasse 1A, 04103, Leipzig, Germany.
The European Journal of Neuroscience
|November 28, 2015
Summary
Researchers developed a reliable in vivo method to distinguish Broca's areas 44 and 45 using functional connectivity. This technique accurately maps these brain regions in individuals, aiding future neuroscience research.
Area of Science:
- Neuroscience
- Brain Imaging
- Human Connectomics
Background:
- Broca's region comprises cytoarchitectonic areas 44 and 45.
- These areas exhibit distinct connectivity patterns with other brain regions.
Purpose of the Study:
- To develop and validate a novel in vivo method for manually parcellating Broca's areas 44 and 45.
- To compare manual parcellation with data-driven clustering techniques.
Main Methods:
- Utilized 101 resting-state functional MRI datasets from the Human Connectome Project.
- Employed surface-based correlation matrices and brainGL visualization for connectivity analysis.
- Manually delineated areas 44 and 45 based on connectivity differences.
Main Results:
- Areas 44 and 45 were reliably distinguished in all individuals with high test-retest reliability.
- Group-level probability maps showed spatial consistency and aligned with cytoarchitectonic maps.
- Manual parcellation demonstrated distinct connectivity patterns, consistent with prior research.
Conclusions:
- The manual parcellation method offers a reliable approach for individual-level cortical segmentation.
- This technique can identify brain regions based on subtle functional connectivity differences.
- Further validation is needed for data-driven machine learning segmentation approaches.
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