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Mapping brain-behavior networks using functional and structural connectome fingerprinting in the HCP dataset
Ying-Chia Lin1,2, Steven H Baete1,2, Xiuyuan Wang1,2
1Center for Advanced Imaging Innovation and Research (CAI2R), NYU School of Medicine, New York, NY, USA.
Brain and Behavior
|May 1, 2020
Summary
Connectome fingerprinting now includes structural connectivity, revealing its link to sensory and language tasks. This method enhances understanding of brain connectivity and cognitive behavior relationships.
Area of Science:
- Neuroscience
- Brain Imaging
- Cognitive Science
Background:
- Connectome analysis examines brain architecture.
- Previous studies used functional connectivity fingerprinting to predict neurocognitive performance.
- Individualized brain functional connectivity profiles serve as unique traits.
Purpose of the Study:
- Extend connectome fingerprinting from functional connectivity (FC) to structural connectivity (SC).
- Identify relationships between behavioral traits and brain connectivity.
- Investigate how structural connectivity relates to neurocognitive tasks.
Main Methods:
- Applied connectome fingerprinting to structural connectivity data.
- Correlated structural connectivity with various behavioral traits and neurocognitive tasks.
- Compared associations between functional and structural connectivity with different task types.
Main Results:
- Higher-order tasks showed weaker associations with SC than FC.
- Sensory-based tasks showed stronger associations with SC than FC.
- Language tasks, particularly picture vocabulary, strongly correlated with both FC and SC.
Conclusions:
- Connectome fingerprinting framework generalized to SC.
- Structural brain connectivity patterns for language align with known white matter regions.
- This approach aids in understanding cognitive behavior and the brain's white matter connectome.
