Multilayer MEG source modelling enables depth-resolved laminar inference in humans.

ABSTRACT: Neural dynamics at the laminar level are critical for cortical computation. However, in humans, non-invasive methods to probe such dynamics have been limited to coarse distinctions between deep and superficial layers. Here, we present a multilayer magnetoencephalography source reconstruction framework and evaluate the conditions under which depth-resolved laminar inference may be feasible. Using simulations, we systematically assess the limits of magnetoencephalography depth resolution, showing that laminar discrimination depends on sufficiently high signal-to-noise ratio, precise co-registration, and accurate specification of cortical column orientation. We demonstrate that regional variations in cortical anatomy influence reconstruction fidelity, with lead-field separability emerging as

SUBMITTER: Szul MJ 

PROVIDER: S-EPMC13627721 | biostudies-literature | 2026 Sep

REPOSITORIES: biostudies-literature