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An MEG-EEG model-based approach to study traveling waves
Studying the propagation of brain oscillations across the cortex is challenging with non-invasive methods. To overcome this, we developed a novel approach that integrates brain imaging techniques with computational modeling. We simulated traveling waves of neural activity in the primary visual cortex and predicted their signatures in magnetoencephalography and electroencephalography recordings. By using carefully designed visual stimuli that evoke traveling waves in visual areas, we provided a proof-of-concept demonstrating the model's validity. Grabot et al. 2025
Image Credit: Eddy Malrat
Citation: (2025) PLoS Computational Biology Issue Image | Vol. 21(4) May 2025. PLoS Comput Biol 21(4): ev21.i04. https://doi.org/10.1371/image.pcbi.v21.i04
Published: May 7, 2025
Copyright: © 2025 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Studying the propagation of brain oscillations across the cortex is challenging with non-invasive methods. To overcome this, we developed a novel approach that integrates brain imaging techniques with computational modeling. We simulated traveling waves of neural activity in the primary visual cortex and predicted their signatures in magnetoencephalography and electroencephalography recordings. By using carefully designed visual stimuli that evoke traveling waves in visual areas, we provided a proof-of-concept demonstrating the model's validity. Grabot et al. 2025
Image Credit: Eddy Malrat