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

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...

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Detalhes bibliográficos
Autores: Aracil-Bolaños, Ignacio, Martínez Horta, Saúl, González de Echávarri, José Maria, Sampedro, Frederic, Pérez Pérez, Jesús, Horta Barba, Andrea, Campolongo Perillo, Antònia, Izquierdo, Cristina, Gómez-Ansón, Beatriz, Pagonabarraga, Javier, Kulisevsky, Jaime J.
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/54071
Acesso em linha:http://hdl.handle.net/10230/54071
http://dx.doi.org/10.1002/mds.28839
Access Level:acceso abierto
Palavra-chave:Huntington&apos
s
Cognition
Functional MRI
Descrição
Resumo: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.