2023
DOI: 10.1111/ejn.16059
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Resting state electroencephalography power correlates with individual differences in implicit sequence learning

Abstract: Neuroimaging resting state paradigms have revealed synchronised oscillatory activity is present even in the absence of completing a task or mental operation. One function of this neural activity is likely to optimise the brain's sensitivity to forthcoming information that, in turn, likely promotes subsequent learning and memory outcomes. The current study investigated whether this extends to implicit forms of learning. A total of 85 healthy adults participated in the study. Resting state electroencephalography… Show more

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Cited by 5 publications
(3 citation statements)
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References 92 publications
(144 reference statements)
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“…Detecting statistical dependencies benefit from bottom-up and model-free processing whereby correlations between elements can be discovered from the raw signal (e.g., Finn et al, 2014;Lum et al, 2023). Such an explanation accords well with the less-is-more hypothesis that attributes developmental advantages in early language acquisition, such as phonology or grammar, to limited attention and memory capacities (Newport, 1990).…”
Section: The Developmental Trajectory Of Speech-based Statistical Lea...mentioning
confidence: 59%
“…Detecting statistical dependencies benefit from bottom-up and model-free processing whereby correlations between elements can be discovered from the raw signal (e.g., Finn et al, 2014;Lum et al, 2023). Such an explanation accords well with the less-is-more hypothesis that attributes developmental advantages in early language acquisition, such as phonology or grammar, to limited attention and memory capacities (Newport, 1990).…”
Section: The Developmental Trajectory Of Speech-based Statistical Lea...mentioning
confidence: 59%
“…2022 ). Second, participants who have lower resting state theta power before commencing the SRT task, evidence superior implicit sequence learning ( Lum et al. 2023b ).…”
Section: Discussionmentioning
confidence: 99%
“…Table 2 describes the scores for each attention de cit symptom scale. 40,41 . Signals were acquired using an EGI Net Amp 300 ampli er and saved on a G4 Macintosh computer using NetStation EEG Software (Version 4.5.4).…”
Section: Participantsmentioning
confidence: 99%