NeurosciencebioRxivPreprint
Independent Component Analysis Outperforms Seed-Based Approach in Detecting fNIRS-based Resting-State Functional Connectivity
Foivos Kotsogiannis, Sophie Raible, João Pereira…·Michael Lührs
This paper compares methods for detecting resting-state functional connectivity using fNIRS, finding that independent component analysis (ICA) outperforms seed-based approaches in accuracy and cross-chromophore consistency.
DOI 10.64898/2026.02.18.705990