Differential impact of brain network efficiency on post-stroke motor and attentional deficits

• DOI: 10.1101/2022.05.23.493043
• Publication Date: 2022-05-24T23:05:12Z
• Authors: Giorgia G. Evange...; Philip Egger; Julia Brügger; Elena Beanato; Philipp J. Koch; Martino Ceroni; Lisa Fleury; Andéol Cadic-Melc...; Nathalie Meyer; Diego de León Rod...; Gabriel Girard; Bertrand Léger; Jean-Luc Turlan; Andreas Mühl; Philippe Vuadens; Jan Adolphsen; Caroline Jagella; Christophe Consta...; Vincent Alvarez; Joseph-André Ghika; Diego San Millán; Christophe Bonvin; Takuya Morishita; Maximilian J. Wessel; Dimitri Van de Ville; Friedhelm C. Hummel
• Keywords: Connectomics; Attention network; Stroke

Abstract Background Most studies on stroke have been designed to examine one deficit in isolation, yet survivors often multiple deficits different domains. While the mechanisms underlying multiple-domain remain poorly understood, network-theoretical methods may open new avenues of understanding. Methods 50 subacute patients (7±3days post-stroke) underwent diffusion-weighted magnetic resonance imaging and a battery clinical tests motor cognitive functions. We defined indices impairment strength, dexterity, attention. also computed imaging-based probabilistic tractography whole brain connectomes. Overlaying individual lesion masks onto tractograms enabled us split connectomes into their affected unaffected parts associate them impairment. Results To efficiently integrate inputs from sources, networks rely “rich-club” few hub nodes. Lesions harm efficiency, particularly when they target rich-club. efficiency connectome, found it was more strongly correlated dexterity attention than total connectome. The magnitude correlation between followed order > ≈ strength. Network weights associated with rich-club were non-rich-club weights. Conclusions Attentional is sensitive disruption coordinated network activity regions impairment, which localized activity. Providing accurate reflections actually functioning enables incorporation information about impact lesions connectomics contributing better understanding mechanisms.