Evidence map›Paper›PMID 34648122›Full record

ArticleMemory & cognition2022

Adaptation following errors: Error awareness predicts future performance.

Gezelle Dali, Robert Hester

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Memory & cognition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 40% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Gezelle DaliMelbourne School of Psychological Sciences, The University of Melbourne, Parkville, VIC, 3010, Australia. gezelledali@gmail.com.ORCID 0000-0003-1613-2596
Robert HesterMelbourne School of Psychological Sciences, The University of Melbourne, Parkville, VIC, 3010, Australia.
The University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to detect an error in performance is critical to ongoing and future goal-directed behaviour. Diminished awareness of errors has been associated with a loss of insight and poor functional recovery in several clinical disorders (e.g., attention-deficit/hyperactivity disorder, addiction, schizophrenia). Despite the clear imperative to understand and remediate such deficits, error awareness and its instantiation in corrective behaviour remains to be fully elucidated. The present study investigated the relationship between error awareness and future performance in order to determine whether conscious recognition of errors facilitates adaptive behaviour. Fifty-one healthy participants completed a motor Go/No-Go error awareness task that afforded the opportunity to learn from errors. A mixed-effects model was specified wherein awareness of an error was used to predict inhibitory performance on the following No-Go trial. The model revealed a significant predictive effect of error awareness on future performance, such that aware errors were more frequently followed by correct inhibitory performance. Notably, improvement in performance accuracy was not due to a temporary increase in conservatism of responding, but appeared to be a context-specific adaptation. These results highlight the adaptive role of error awareness and the relationship between error awareness and learning from errors that has the potential to contribute to clinical symptomatology.

Indexed as

Adaptation, PhysiologicalAttention Deficit Disorder with HyperactivityAwarenessConsciousnessHumansPsychomotor PerformanceReaction TimeError awarenessPost-error accuracyPost-error adjustmentsResponse inhibition

Identifiers

PMID34648122
OpenAlexW3205799673

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.