Decreased long-range temporal correlations in the resting-state functional magnetic resonance imaging blood-oxygen-level-dependent signal reflect motor sequence learning up to 2 weeks following training.

Authors:
Jäger AP; Bailey A; Huntenburg JM; Tardif CL; Villringer A and 4 more

Journal:
Hum Brain Mapp

Publication Year: 2023

DOI:
10.1002/hbm.26539

PMCID:
PMC10915743

PMID:
38124341

Journal Information

Journal Title: Hum Brain Mapp

Detailed journal information not available.

Publication Details

Subject Category: Neuroimaging

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
4/6
66.7% Transparent
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Evidence found in paper:

"all scripts related to this preprocessing are available at https://github com/athschmidt/mmpi/tree/master/preprocessing 3 5 dfa is a commonly used method to study self-similarity based on analyzing the temporal autocorrelation of time series (hardstone et al )."

Evidence found in paper:

"CONFLICT OF INTEREST STATEMENT The authors declare no competing financial interests."

Evidence found in paper:

"This work was supported by the Max Planck Society, the MaxNetAging Research School (Max Planck Institute for Demographic Research, ATJ), the NWO Vici grant (PI: Birte Forstmann) (PLB), the Heart and Stroke Foundation of Canada (CJS, CJG), the Michal and Renata Hornstein Chair in Cardiovascular Imaging (CJG), the National Science and Engineering Research Council (CJS: RGPIN‐2020‐06812; CJG: RGPIN 2015‐04665) and the Fonds Recherche Québécois Nature et Technologies (CJS). Open Access funding enabled and organized by Projekt DEAL."

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Open Access
Paper is freely available to read
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Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025