title: Discrimination of cortical laminae using MEG.
abstract: Typically MEG source reconstruction is used to estimate the distribution of current flow on a single anatomically derived cortical surface model. In this study we use two such models representing superficial and deep cortical laminae. We establish how well we can discriminate between these two different cortical layer models based on the same MEG data in the presence of different levels of co-registration noise, Signal-to-Noise Ratio (SNR) and cortical patch size. We demonstrate that it is possible to make a distinction between superficial and deep cortical laminae for levels of co-registration noise of less than 2mm translation and 2° rotation at SNR > 11 dB. We also show that an incorrect estimate of cortical patch size will tend to bias layer estimates. We then use a 3D printed head-cast (Troebinger et al., 2014) to achieve comparable levels of co-registration noise, in an auditory evoked response paradigm, and show that it is possible to discriminate between these cortical layer models in real data.
authors.affiliation: Wellcome Trust Centre for Neuroimaging, Institute of Neurology, UCL, 12 Queen Square, London WC1N 3BG, UK. Electronic address: luzia.troebinger.11@ucl.ac.uk.
authors.forename: Luzia
authors.initials: L
authors.lastname: Troebinger
authors.affiliation: Electronic Engineering Department, Universidad de Antioquia, UdeA, Calle 70 No. 52-21, Medellín, Colombia.
authors.forename: José David
authors.initials: JD
authors.lastname: López
authors.affiliation: LREN, Département des Neurosciences Cliniques, CHUV, University of Lausanne, Lausanne, Switzerland.
authors.forename: Antoine
authors.initials: A
authors.lastname: Lutti
authors.affiliation: Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, UCL, Queen Square, London WC1N 3BG, UK.
authors.forename: Sven
authors.initials: S
authors.lastname: Bestmann
authors.affiliation: Wellcome Trust Centre for Neuroimaging, Institute of Neurology, UCL, 12 Queen Square, London WC1N 3BG, UK.
authors.forename: Gareth
authors.initials: G
authors.lastname: Barnes
mesh_terms: D002540:Cerebral Cortex / Q000502:physiology*; D006801:Humans; D015225:Magnetoencephalography; D008297:Male; D059629:Signal-To-Noise Ratio