• Develop automated integrative software platforms

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• Combine components from multiple existing tools

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• Provide preprocessed data and ready-to-use connectivity features

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• Incorporate deep learning techniques for missing modality generation

• Develop methods for integrating structural and functional brain information

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• Provide a continuous reference frame for studying macroscale connectivity

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• Understand dynamic transitions of brain function​

• Link macroscale connectomes to microcircuit and gene expression patterns

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• Investigate underlying biological mechanisms via biophysical modeling

• Discover meaningful features via representation learning

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• Synthesize images and time series using generative models

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• Develop segmentation and parcellation tools

• Machine learning-based imaging marker

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• Obesity, neurodevelopment, neurodegeneration, migraine