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Structure and dynamics of large-scale cognitive networks in Huntington's disease

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dc.contributor.author Aracil-Bolaños, Ignacio
dc.contributor.author Martínez Horta, Saúl
dc.contributor.author González de Echávarri, José Maria
dc.contributor.author Sampedro, Frederic
dc.contributor.author Pérez Pérez, Jesús
dc.contributor.author Horta Barba, Andrea
dc.contributor.author Campolongo Perillo, Antònia
dc.contributor.author Izquierdo, Cristina
dc.contributor.author Gómez-Ansón, Beatriz
dc.contributor.author Pagonabarraga, Javier
dc.contributor.author Kulisevsky, Jaime J.
dc.date.accessioned 2022-09-15T07:13:33Z
dc.date.available 2022-09-15T07:13:33Z
dc.date.issued 2022
dc.identifier.citation Aracil-Bolaños I, Martínez-Horta S, González-de-Echávarri JM, Sampedro F, Pérez-Pérez J, Horta-Barba A, et al. Structure and dynamics of large-scale cognitive networks in Huntington's disease. Mov Disord. 2022 Feb; 37(2): 343-53. DOI: 10.1002/mds.28839
dc.identifier.issn 0885-3185
dc.identifier.uri http://hdl.handle.net/10230/54071
dc.description.abstract Background: Huntington's disease is a neurodegenerative disorder characterized by clinical alterations in the motor, behavioral, and cognitive domains. However, the structure and disruptions to large-scale brain cognitive networks have not yet been established. Objective: w aimed to profile changes in large-scale cognitive networks in premanifest and symptomatic patients with Huntington's disease. Methods: we prospectively recruited premanifest and symptomatic Huntington's disease mutation carriers as well as healthy controls. Clinical and sociodemographic data were obtained from all participants, and resting-state functional connectivity data, using both time-averaged and dynamic functional connectivity, was acquired from whole-brain and cognitively oriented brain parcellations. Results: a total of 64 gene mutation carriers and 23 healthy controls were included; 21 patients with Huntington's disease were classified as premanifest and 43 as symptomatic Huntington's disease. Compared with healthy controls, patients with Huntington's disease showed decreased network connectivity within the posterior hubs of the default-mode network and the medial prefrontal cortex, changes that correlated with cognitive (t = 2.25, P = 0.01) and disease burden scores (t = -2.42, P = 0.009). The salience network showed decreased functional connectivity between insular and supramarginal cortices and also correlated with cognitive (t = 2.11, P = 0.02) and disease burden scores (t = -2.35, P = 0.01). Dynamic analyses showed that network variability was decreased for default-central executive networks, a feature already present in premanifest mutation carriers (dynamic factor 8, P = 0.02). Conclusions: Huntington's disease shows an early and widespread disruption of large-scale cognitive networks. Importantly, these changes are related to cognitive and disease burden scores, and novel dynamic functional analyses uncovered subtler network changes even in the premanifest stages.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Wiley
dc.rights This is an open access article under the terms of the Creative Commons http://creativecommons.org/licenses/by/4.0/ Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.title Structure and dynamics of large-scale cognitive networks in Huntington's disease
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1002/mds.28839
dc.subject.keyword Huntington's
dc.subject.keyword Cognition
dc.subject.keyword Functional MRI
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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