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Functional and structural reorganization in brain tumors: a machine learning approach using desynchronized functional oscillations

Medicine and Health

Functional and structural reorganization in brain tumors: a machine learning approach using desynchronized functional oscillations

J. Falcó-roget, A. Cacciola, et al.

This groundbreaking study by Joan Falcó-Roget, Alberto Cacciola, Fabio Sambataro, and Alessandro Crimi delves into the fascinating world of brain tumors, unveiling how machine learning can reveal critical changes in brain connectivity. By analyzing fMRI data and developing novel tracking techniques, the researchers uncover significant insights that could revolutionize our understanding of brain function and recovery.

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