Multilayer MEG source modelling enables depth-resolved laminar inference in humans.
- Open access
Multilayer MEG source modeling achieves depth-resolved laminar inference in humans, revealing laminar activation patterns aligned with cortical motifs.
- Why it matters: Understanding neural dynamics at the laminar level is essential for deciphering cortical computation, but non-invasive methods have been limited to broad deep-superficial distinctions, hindering detailed insights.
- What they did: The authors developed a multilayer magnetoencephalography framework and evaluated its feasibility through simulations and empirical data, emphasizing the importance of high signal-to-noise ratio, precise co-registration, and cortical orientation accuracy.
- The result: They demonstrated that under optimal conditions, laminar activity patterns consistent with known cortical circuits can be inferred non-invasively, bridging the gap between invasive electrophysiology and human neuroimaging.