Resting-state BOLD signal variability is associated with individual differences in metacontrol

Autor: Chenyan, Zhang, Christian, Beste, Luisa, Prochazkova, Kangcheng, Wang, Sebastian P H, Speer, Ale, Smidts, Maarten A S, Boksem, Bernhard, Hommel
Přispěvatelé: Netherlands Institute for Neuroscience (NIN), Department of Marketing Management
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Scientific Reports, 12(1). Nature Publishing Group
Scientific Reports, 12(1):18425. Nature Publishing Group
ISSN: 2045-2322
Popis: Numerous studies demonstrate that moment-to-moment neural variability is behaviorally relevant and beneficial for tasks and behaviors requiring cognitive flexibility. However, it remains unclear whether the positive effect of neural variability also holds for cognitive persistence. Moreover, different brain variability measures have been used in previous studies, yet comparisons between them are lacking. In the current study, we examined the association between resting-state BOLD signal variability and two metacontrol policies (i.e., persistence vs. flexibility). Brain variability was estimated from resting-state fMRI (rsfMRI) data using three different approaches (i.e., Standard Deviation (SD), Mean Square Successive Difference (MSSD), and sliding time-window correlation (SWC)) and metacontrol biases were assessed by three metacontrol-sensitive tasks. Results showed that brain variability measured by SD and MSSD was highly positively related, while SWC measured variability was not related to the other two measures. Critically, higher variability measured by MSSD in the attention network, parietal and frontal network, frontal and ACC network, parietal and motor network, and higher variability measured by SD in the parietal and motor network, parietal and frontal network were associated with reduced persistence (or greater flexibility) of metacontrol (i.e., larger Stroop effect or worse RAT performance). Our findings show that the beneficial effect of brain signal variability on cognitive control depends on the metacontrol states involved. Moreover, different brain variability measures may capture different aspects of variability and can result in different brain-behavior relationships.
Databáze: OpenAIRE
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