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https://hdl.handle.net/10495/41654| Título : | Reconstructing anatomy from electro-physiological data |
| Autor : | López Hincapié, José David Valencia, Felipe Flandin, Guillaume Penny, Will D. Barnes, Gareth Robert |
| metadata.dc.subject.*: | 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 |
| Fecha de publicación : | 2017 |
| Editorial : | Elsevier |
| Citación : | J.D. López, F. Valencia, G. Flandin, W. Penny, G.R. Barnes, Reconstructing anatomy from electro-physiological data, NeuroImage, Volume 163, 2017, Pages 480-486, ISSN 1053-8119, https://doi.org/10.1016/j.neuroimage.2017.06.049 (https://www.sciencedirect.com/science/article/pii/S1053811917305207) |
| Resumen : | 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. |
| metadata.dc.identifier.eissn: | 1095-9572 |
| ISSN : | 1053-8119 |
| metadata.dc.identifier.doi: | 10.1016/j.neuroimage.2017.06.049 |
| Aparece en las colecciones: | Artículos de Revista en Ingeniería |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| LopezJuan_2017_Reconstructing_Anatomy.pdf | Artículo de investigación | 2.05 MB | Adobe PDF | Visualizar/Abrir |
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