Computational brain connectivity mapping: A core health and scientific challenge

Area of Science:

• Neuroscience and computational biology.
• Advanced medical imaging and data analysis.

Background:

• Brain diseases represent a significant health burden in Europe.
• Current brain research faces limitations due to reliance on single imaging modalities, hindering a comprehensive understanding of brain architecture and function.

Discussion:

• This article proposes a global approach integrating structural and functional brain connectivities.
• Leveraging complementary non-invasive imaging techniques like diffusion Magnetic Resonance Imaging (dMRI) and Electro & Magneto-Encephalography (EEG & MEG) is crucial.
• Developing new-generation models for brain connectivity mapping is essential for progress.

Key Insights:

• Integrated neuroimaging provides a more detailed spatial and temporal mapping of brain connectivity.
• Combining dMRI with EEG & MEG overcomes limitations of individual modalities.
• This approach enhances the identification and characterization of both structural and functional brain networks.

Outlook:

• This integrated methodology offers significant clinical value for high-impact neurological diseases.
• It opens new avenues in computational neuro-imaging and cognitive neuroscience research.
• Future research will focus on refining models and validating integrated approaches for clinical application.