Post-stroke EEG spectral changes in a whole brain model of Kuramoto oscillators
Stroke causes structural damage in the brain, but its effects propagate to distant, undamaged brain regions, suggesting that the brain responds to injury in a complex and nonlinear way. In this work, we use a Kuramoto oscillator network to model how local lesions reshape large-scale brain dynamics. The model is informed by healthy and post-stroke empirical brain connectivity data and calibrated to reproduce empirical data. We found that lesions speed up oscillations and reduce the entropy of their power spectra, both at the lesion site but also in distant, structurally intact areas. The magnitude of the changes in local and distant areas correlates with how well patients recover clinically, suggesting that post-stroke outcome depends partly on how the whole brain reorganizes after injury. This framework illustrates how tools from complex systems and network dynamics can bridge structural damage, collective brain activity and recovery, helping identify dynamical markers of post-stroke plasticity.
This IFISC Seminar will be broadcasted in the following zoom link: https://us06web.zoom.us/j/89466064429?pwd=po9p99eAEYVPaNI8xIIGoOIz0hOqaF.1
Coffee and cookies will be served 15 minutes before the start of the seminar
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