Evidence map›Paper›PMID 25100961›Full record

ArticleFrontiers in behavioral neuroscience2014

Individual differences in response speed and accuracy are associated to specific brain activities of two interacting systems.

Rinaldo Livio Perri, Marika Berchicci, Donatella Spinelli, Francesco Di Russo

Abstract read
In one paragraph

Article in Frontiers in behavioral neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Trial
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  5. Causal Learning through Deliberate Undersampling.Proceedings of machine learning research · 2023
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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

4 authors.

Rinaldo Livio PerriDepartment of Human Movement, Social and Health Sciences, University of Rome "Foro Italico" Rome, Italy ; Department of Psychology, University of Rome "La Sapienza" Rome, Italy.
Marika BerchicciDepartment of Human Movement, Social and Health Sciences, University of Rome "Foro Italico" Rome, Italy.
Donatella SpinelliDepartment of Human Movement, Social and Health Sciences, University of Rome "Foro Italico" Rome, Italy ; Neuropsychological Unit, IRCCS Santa Lucia Foundation Rome, Italy.
Francesco Di RussoDepartment of Human Movement, Social and Health Sciences, University of Rome "Foro Italico" Rome, Italy ; Neuropsychological Unit, IRCCS Santa Lucia Foundation Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study investigates the neurocognitive stages involved in the speed-accuracy trade-off (SAT). Contrary to previous approach, we did not manipulate speed and accuracy instructions: participants were required to be fast and accurate in a go/no-go task, and we selected post-hoc the groups based on the subjects' spontaneous behavioral tendency. Based on the reaction times, we selected the fast and slow groups (Speed-groups), and based on the percentage of false alarms, we selected the accurate and inaccurate groups (Accuracy-groups). The two Speed-groups were accuracy-matched, and the two Accuracy-groups were speed-matched. High density electroencephalographic (EEG) and stimulus-locked analyses allowed us to observe group differences both before and after the stimulus onset. Long before the stimulus appearance, the two Speed-groups showed different amplitude of the Bereitschaftspotential (BP), reflecting the activity of the supplementary motor area (SMA); by contrast, the two Accuracy-groups showed different amplitude of the prefrontal negativity (pN), reflecting the activity of the right prefrontal cortex (rPFC). In addition, the post-stimulus event-related potential (ERP) components showed differences between groups: the P1 component was larger in accurate than inaccurate group; the N1 and N2 components were larger in the fast than slow group; the P3 component started earlier and was larger in the fast than slow group. The go minus no-go subtractive wave enhancing go-related processing revealed a differential prefrontal positivity (dpP) that peaked at about 330 ms; the latency and the amplitude of this peak were associated with the speed of the decision process and the efficiency of the stimulus-response mapping, respectively. Overall, data are consistent with the view that speed and accuracy are processed by two interacting but separate neurocognitive systems, with different features in both the anticipation and the response execution phases.

Indexed as

Bereitschaftspotential (BP)decision makingEEGevent related potentials (ERPs)movement-related cortical potentials (MRCPs)speed-accuracy tradeoff

Identifiers

PMID25100961
PMCPMC4106455

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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.