bioRxiv

Interpretable Decoding of Frequency-Resolved Functional Connectivity

By Santeri Ruuskanen, Eero Saarro, Carola Maria Caivano, Lauri T. Parkkonen, Ivan Zubarev

Preprint: computational studyBiomarkers

Abstract

Whole-brain functional connectivity, estimated from magnetoencephalography (MEG) data, provides a compact representation of long-range neuronal communication, making it suitable for predictive biomarker discovery.

The paper

Santeri Ruuskanen, Eero Saarro, Carola Maria Caivano, Lauri T. Parkkonen, Ivan Zubarev

Aalto University

bioRxiv, 24 Aug 2026, CC BY, Preprint, not peer-reviewed

doi.org/10.64898/2026.08.20.745932

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Interpretable Decoding of Frequency-Resolved Functional Connectivity

Abstract

The paper

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