Non-invasive laminar inference with MEG: Comparison of methods and source inversion algorithms

Magnetoencephalography (MEG) is a direct measure of neuronal current flow; its anatomical resolution is therefore not constrained by physiology but rather by data quality and the models used to explain these data. Recent simulation work has shown that it is possible to distinguish between signals ar...

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Bibliographic Details
Published in:	NeuroImage (Orlando, Fla.) Vol. 167; pp. 372 - 383
Main Authors:	Bonaiuto, James J., Rossiter, Holly E., Meyer, Sofie S., Adams, Natalie, Little, Simon, Callaghan, Martina F., Dick, Fred, Bestmann, Sven, Barnes, Gareth R.
Format:	Journal Article
Language:	English
Published:	United States Elsevier Inc 15.02.2018 Elsevier Limited Academic Press
Subjects:	Adult Algorithms Cognition Computer Simulation Cortex Cortical laminae Cross validation Free energy Generative model Humans Localization Magnetic Resonance Imaging - methods Magnetoencephalography Magnetoencephalography - methods Magnetoencephalography - standards MEG Models, Theoretical Neocortex - physiology NMR Nuclear magnetic resonance Sensors Statistical analysis Washington DC United States > US Cross validation Cortical laminae MEG Free energy Generative model
ISSN:	1053-8119, 1095-9572, 1095-9572
Online Access:	Get full text
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