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Log-Regulated Laplacian Sparse Functional Connectivity of fMRI Data

Description: This technology introduces two novel functional connectivity (FC) estimation methods—a Log-Regularized Laplacian Graph estimator and a K-Nearest Neighbors (KNN) Graph estimator—that generate sparse FC matrices from resting-state fMRI BOLD time series. By pruning weak and irrelevant connections, these methods reduce noise and...

Published: 12/16/2025 | Inventor(s): Mylène Queiroz de Farias, Juliana Danso

Keywords(s): Data, Machine Learning, Neuroimaging

Category(s): Data/AI, Life Science