Reconstructing anatomy from electro-physiological data

ABSTRACT: Here we show how it is possible to make estimates of brain structure based on MEG data. We do this by reconstructing functional estimates onto distorted cortical manifolds parameterised in terms of their spherical harmonics. We demonstrate that both empirical and simulated MEG data give rise to consistent and plausible anatomical estimates. Importantly, the estimation of structure from MEG data can be quantified in terms of millimetres from the true brain structure. We show, for simulated data, that the functional assumptions which are closer to the functional ground-truth give rise to anatomical estimates that are closer to the true anatomy.

• Autores: López Hincapié, José David; Valencia, Felipe; Flandin, Guillaume; Penny, Will D.; Barnes, Gareth Robert
• Tipo de recurso: Article of investigation
• Fecha de publicación: 2017
• Institución: Universidad de Antioquia
• Repositorio: Repositorio UdeA
• Idioma: eng
• OAI Identifier: oai:bibliotecadigital.udea.edu.co:10495/41654
• Acceso en línea: https://hdl.handle.net/10495/41654
• Palabra clave: Encéfalo - diagnóstico por imagen; Brain - diagnostic imaging; Algoritmos; Algorithms; Simulación por Computador; Computer Simulation; Interpretación de Imagen Asistida por Computador; Image Interpretation, Computer-Assisted; Magnetoencefalografía; Magnetoencephalography; Modelos Neurológicos; Models, Neurological; https://id.nlm.nih.gov/mesh/D001921; https://id.nlm.nih.gov/mesh/D000465; https://id.nlm.nih.gov/mesh/D003198; https://id.nlm.nih.gov/mesh/D007090; https://id.nlm.nih.gov/mesh/D015225; https://id.nlm.nih.gov/mesh/D008959
• Rights: openAccess
• License: http://creativecommons.org/licenses/by/2.5/co/