Aggregating high-dimensional functional connectivity data and task-evoked brain activation records across multiple cortical regions. The collection facilitates the mapping of neural connectivity architectures to specific cognitive task responses.
Use Cases
- Develop machine learning models to predict task-evoked activation patterns using functional connectivity as the input feature set.
- Analyze the correlation between high-dimensional connectivity metrics and localized brain activity during cognitive tasks.
- Apply graph theoretical analysis to multi-region connectivity data to identify hubs of task-evoked activation.
Strengths
- Contains high-dimensional functional connectivity matrices representing multi-region cortical interactions.
- Includes task-evoked brain activation data mapped to specific cortical locations.
- Provides paired data points linking resting-state connectivity to active task-based neural responses.