Preparing for a second attack

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๐—ข๐˜‚๐—ฟ ๐—ต๐˜†๐—ฝ๐—ผ๐˜๐—ต๐—ฒ๐˜€๐—ถ๐˜€: the brain becomes more resilient to a second stroke after a first attack

To be able to measure resilience of neural networks observed on resting state fMRI we define it as the capacity to preserve short mean path lenghts after an attack.



  • 16 patients with an initial lesion restricted to M1 and full recovery at 1 month
  • 16 healthy controls

โ€“> All patients had a fMRI scan at 3 timepoints (2 weeks, 1 month and 3 months after stroke)

๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ฒ๐—ป๐˜๐—ถ๐—ผ๐—ป: simulation of clinically representative secondary lesions on the obtained functional networks

๐—ฅ๐—ฒ๐˜€๐˜‚๐—น๐˜๐˜€: after full clinical recovery, the networks of patients having sustained a stroke 3 months beforehand were more resilient to a secondary attack

Full paper: Mitsouko Assche, Julian Klug, Elisabeth Dirren, Jonas Richiardi, Emmanuel Carrera, โ€œPreparing for a Second Attack: A Lesion Simulation Study on Network Resilience After Stroke.โ€ Stroke, 2022

Code availability

All code is available at my github.