Evidence map›Paper›PMID 30687169›Full record

ArticleFrontiers in psychology2018

Deconstructing Procedural Memory: Different Learning Trajectories and Consolidation of Sequence and Statistical Learning.

Peter Simor, Zsofia Zavecz, Kata Horváth, Noémi Éltető, Csenge Török, Orsolya Pesthy, Ferenc Gombos, Karolina Janacsek, Dezso Nemeth

Abstract read
In one paragraph

Article in Frontiers in psychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Peter SimorInstitute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.
Zsofia ZaveczInstitute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.
Kata HorváthInstitute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.
Noémi ÉltetőInstitute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.
Csenge TörökInstitute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.
Orsolya PesthyInstitute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.
Ferenc GombosDepartment of General Psychology, Pázmány Péter Catholic University, Budapest, Hungary.
Karolina JanacsekInstitute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.
Dezso NemethInstitute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Procedural learning is a fundamental cognitive function that facilitates efficient processing of and automatic responses to complex environmental stimuli. Here, we examined training-dependent and off-line changes of two sub-processes of procedural learning: namely, sequence learning and statistical learning. Whereas sequence learning requires the acquisition of order-based relationships between the elements of a sequence, statistical learning is based on the acquisition of probabilistic associations between elements. Seventy-eight healthy young adults (58 females and 20 males) completed the modified version of the Alternating Serial Reaction Time task that was designed to measure Sequence and Statistical Learning simultaneously. After training, participants were randomly assigned to one of three conditions: active wakefulness, quiet rest, or daytime sleep. We examined off-line changes in Sequence and Statistical Learning as well as further improvements after extended practice. Performance in Sequence Learning increased during training, while Statistical Learning plateaued relatively rapidly. After the off-line period, both the acquired sequence and statistical knowledge was preserved, irrespective of the vigilance state (awake, quiet rest or sleep). Sequence Learning further improved during extended practice, while Statistical Learning did not. Moreover, within the sleep group, cortical oscillations and sleep spindle parameters showed differential associations with Sequence and Statistical Learning. Our findings can contribute to a deeper understanding of the dynamic changes of multiple parallel learning and consolidation processes that occur during procedural memory formation.

Indexed as

consolidationEEGprocedural learningsequence learningsleepstatistical learning

Identifiers

PMID30687169
PMCPMC6333905

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.