Lia Talozzi
Affiliations: | 2021-2022 | CNRS & Université de Bordeaux |
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Sign in to add mentorMichel Thiebaut de Schotten | post-doc | 2020-2022 | CNRS - Université de Bordeaux |
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Publications
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Matsulevits A, Coupé P, Nguyen HD, et al. (2024) Deep learning disconnectomes to accelerate and improve long-term predictions for post-stroke symptoms. Brain Communications. 6: fcae338 |
Pacella V, Nozais V, Talozzi L, et al. (2024) The morphospace of the brain-cognition organisation. Nature Communications. 15: 8452 |
Hope TMH, Neville D, Talozzi L, et al. (2023) Testing the Disconnectome Symptom Discoverer model on out-of-sample post-stroke language outcomes. Brain : a Journal of Neurology |
Nozais V, Forkel SJ, Petit L, et al. (2023) Atlasing white matter and grey matter joint contributions to resting-state networks in the human brain. Communications Biology. 6: 726 |
Talozzi L, Forkel SJ, Pacella V, et al. (2023) Latent disconnectome prediction of long-term cognitive-behavioural symptoms in stroke. Brain : a Journal of Neurology |
Dulyan L, Talozzi L, Pacella V, et al. (2022) Longitudinal prediction of motor dysfunction after stroke: a disconnectome study. Brain Structure & Function |