ArticleHuman brain mapping2021
Age of onset modulates resting-state brain network dynamics in Friedreich Ataxia.
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Altered Intracerebellar Functional Connectivity in Friedreich's Ataxia: A Graph-Theory Functional MRI Study.Cerebellum (London, England) · 2025Article
- Motor learning- and consolidation-related resting state fast and slow brain dynamics across wake and sleep.Scientific reports · 2024Article
- Reduced cerebello-cerebral functional connectivity correlates with disease severity and impaired white matter integrity in Friedreich ataxia.Journal of neurology · 2023Article
- Friedreich ataxia: clinical features and new developments.Neurodegenerative disease management · 2022Review
- Resting state fast brain dynamics predict interindividual variability in motor performance.Scientific reports · 2022Article
- Cerebellar cognitive affective syndrome after acute cerebellar stroke.Frontiers in neurology · 2022Article
- Cerebellar Pathology in an Inducible Mouse Model of Friedreich Ataxia.Frontiers in neuroscience · 2022Article
- Age of onset modulates resting-state brain network dynamics in Friedreich Ataxia.Human brain mapping · 2021Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This magnetoencephalography (MEG) study addresses (i) how Friedreich ataxia (FRDA) affects the sub-second dynamics of resting-state brain networks, (ii) the main determinants of their dynamic alterations, and (iii) how these alterations are linked with FRDA-related changes in resting-state functional brain connectivity (rsFC) over long timescales. For that purpose, 5 min of resting-state MEG activity were recorded in 16 FRDA patients (mean age: 27 years, range: 12-51 years; 10 females) and matched healthy subjects. Transient brain network dynamics was assessed using hidden Markov modeling (HMM). Post hoc median-split, nonparametric permutations and Spearman rank correlations were used for statistics. In FRDA patients, a positive correlation was found between the age of symptoms onset (ASO) and the temporal dynamics of two HMM states involving the posterior default mode network (DMN) and the temporo-parietal junctions (TPJ). FRDA patients with an ASO <11 years presented altered temporal dynamics of those two HMM states compared with FRDA patients with an ASO > 11 years or healthy subjects. The temporal dynamics of the DMN state also correlated with minute-long DMN rsFC. This study demonstrates that ASO is the main determinant of alterations in the sub-second dynamics of posterior associative neocortices in FRDA patients and substantiates a direct link between sub-second network activity and functional brain integration over long timescales.
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