Evidence map›Paper›PMID 32570207›Full record

ArticleNeuroImage. Clinical2020

Preserved performance monitoring and error detection in left hemisphere stroke.

Eva Niessen, Jana M Ant, Stefan Bode, Jochen Saliger, Hans Karbe, Gereon R Fink, Jutta Stahl, Peter H Weiss

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 12 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

8 authors at 2 institutions in 2 countries.

Eva NiessenCognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Jülich, Germany. Electronic address: E.Niessen@fz-juelich.de.
Jana M AntUniversity of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Neurology, Germany.
Stefan BodeMelbourne School of Psychological Sciences, University of Melbourne, Australia; Department of Individual Differences and Psychological Assessment, University of Cologne, Germany.
Jochen SaligerNeurological Rehabilitation Centre Godeshöhe, Germany.
Hans KarbeNeurological Rehabilitation Centre Godeshöhe, Germany.
Gereon R FinkCognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Jülich, Germany; University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Neurology, Germany.
Jutta StahlDepartment of Individual Differences and Psychological Assessment, University of Cologne, Germany.
Peter H WeissCognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Jülich, Germany; University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Neurology, Germany.
University of Cologne · DEAustralian Psychological Society · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depending on the lesion site, a stroke typically affects various aspects of cognitive control. While executing a task, the performance monitoring system constantly compares an intended action plan with the executed action and thereby registers inaccurate actions in case of any mismatch. When errors occur, the performance monitoring system signals the need for more cognitive control, which is most efficient when the subject notices errors rather than processing them subconsciously. The current study aimed to investigate performance monitoring and error detection in a large sample of patients with left hemisphere (LH) stroke. In addition to clinical and neuropsychological tests, 24 LH stroke patients and 32 healthy age-matched controls performed a Go/Nogo task with simultaneous electroencephalography (EEG) measurements. This set-up enabled us to compare performance monitoring at the behavioral and the neural level. EEG data were analyzed using event-related potentials [ERPs; e.g., the error-related negativity (Ne/ERN) and error positivity (Pe)] and additionally more sensitive whole-brain multivariate pattern classification analyses (MVPA). We hypothesized that LH stroke patients would show behavioural deficits in error detection when compared to healthy controls, mirrored by differences in neural signals, in particular reflected in the Pe component. Interestingly, despite clinically relevant cognitive deficits (e.g., aphasia and apraxia) including executive dysfunction (trail making test), we did not observe any behavioral impairments related to performance monitoring and error processing in the current LH stroke patients. Patients also showed similar results for Ne/ERN and Pe components, compared to the control group, and a highly similar prediction of errors from multivariate signals. ERP abnormalities during stimulus processing (i.e., N2 and P3) demonstrated the specificity of these findings in the current LH stroke patients. In contrast to previous studies, by employing a relatively large patient sample, a well-controlled experimental paradigm with a standardized error signaling procedure, and advanced data analysis, we were able to show that performance monitoring (of simple actions) is a preserved cognitive control function in LH stroke patients that might constitute a useful resource in rehabilitative therapies for re-learning impeded functions.

Indexed as

AdultBrainCognition DisordersElectroencephalographyEvoked PotentialsFemaleHumansMaleMiddle AgedNeuropsychological TestsPsychomotor PerformanceReaction TimeStrokeCognitive controlEEGEvent-related potentialsMultivariate pattern analysisStroke

Identifiers

PMID32570207
PMCPMC7306623
OpenAlexW3034471002

What OpenQuestion holds

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LicenceCC BY
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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.