DeepDisco: A Deep Learning Tool for Rapid Brain Connectivity Estimation

Anna Matsulevits; Michel Thiebaut de Schotten; Thomas Tourdias

doi:10.1101/2025.07.10.663897

July 15, 2025Open Access

DeepDisco: A Deep Learning Tool for Rapid Brain Connectivity Estimation

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Key Points

DEEPDISCO is a software tool designed for estimating brain connectivity maps efficiently.
It uses deep learning algorithms to derive connections from binary regions or lesions in the brain.
The platform supports large datasets and features a user-friendly interface for easy access to connectivity analysis.
This advancement facilitates the application of AI frameworks in analyzing brain connectivity, promoting future research.],
simple_explanation
DeepDisco is a tool that helps scientists quickly estimate connections in the brain. Using deep learning, it creates maps of brain activity from images of brain lesions. This makes it easier for researchers to analyze large amounts of brain data. With its user-friendly design, more people can use it to understand how brains work better. 🧠
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Implication

Software rapidly predicts brain connectivity in large datasets, suggesting scalable pathways for AI frameworks.

Abstract

DeepDisco is a cross-platform software that uses deep learning to rapidly predict brain connectivity maps from binary regions or lesions. It offers a user-friendly and scriptable interface, making indirect connectivity analysis accessible for large datasets and scalable for AI frameworks.

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Cite This Study

Matsulevits et al. (2025) studied this question.

synapsesocial.com/papers/689a02c3e6551bb0af8ccaea https://doi.org/10.1101/2025.07.10.663897

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DeepDisco: A Deep Learning Tool for Rapid Brain Connectivity Estimation

Key Points

Implication

Abstract

Discussion

Cite This Study

DeepDisco: A Deep Learning Tool for Rapid Brain Connectivity Estimation

Key Points

Implication

Abstract

Discussion

Cite This Study

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