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Revisiting 'brain modes' in a new computational era: approaches for the characterization of brain-behavioural associations.

Abstract : The study of brain-function relationships is undergoing a conceptual and methodological transformation due to the emergence of network neuroscience and the development of multivariate methods for lesion-deficit inferences. Anticipating this process, in 1998 Godefroy and co-workers conceptualized the potential of four elementary typologies of brain-behaviour relationships named 'brain modes' (unicity, equivalence, association, summation) as building blocks able to describe the association between intact or lesioned brain regions and cognitive processes or neurological deficits. In the light of new multivariate lesion inference and network approaches, we critically revisit and update the original theoretical notion of brain modes, and provide real-life clinical examples that support their existence. To improve the characterization of elementary units of brain-behavioural relationships further, we extend such conceptualization with a fifth brain mode (mutual inhibition/masking summation). We critically assess the ability of these five brain modes to account for any type of brain-function relationship, and discuss past versus future contributions in redefining the anatomical basis of human cognition. We also address the potential of brain modes for predicting the behavioural consequences of lesions and their future role in the design of cognitive neurorehabilitation therapies.
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https://hal-u-picardie.archives-ouvertes.fr/hal-03657609
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Soumis le : mardi 3 mai 2022 - 11:19:18
Dernière modification le : jeudi 5 mai 2022 - 16:19:51

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Monica N. Toba, Olivier Godefroy, R. Jarrett Rushmore, Melissa Zavaglia, Redwan Maatoug, et al.. Revisiting 'brain modes' in a new computational era: approaches for the characterization of brain-behavioural associations.. Brain : a journal of neurology, 2020, 143 (4), pp.1088--1098. ⟨10.1093/brain/awz343⟩. ⟨hal-03657609⟩

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