Evidence map›Paper›PMID 42846491›Full record

ArticleFrontiers in neuroergonomics2026

I think, therefore I hit: EEG parameters predict performance in complex cognitive tasks.

Anneke Hamann, Julia Schön, Nils Carstengerdes

Abstract read
In one paragraph

Article in Frontiers in neuroergonomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Anneke HamannInstitut für Flugführung, Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), Braunschweig, Germany.
Julia SchönInstitut für Flugführung, Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), Braunschweig, Germany.
Nils CarstengerdesInstitut für Flugführung, Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), Braunschweig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, operator state assessment has gained much attention in the aviation domain. The ability to assess or even predict performance from behavioral or physiological data offers the possibility to tailor training schedules and assistance systems to the human operators' needs. Yet, to date, there is still no valid or reliable method for such an assessment. In the present study, we present evidence that brain activity recorded via electroencephalography (EEG) can be used to predict complex cognitive task performance. 26 participants performed multiple rounds of a dual n-back task and the complex Space Fortress Game while their brain activity was recorded via EEG. Results from multiple linear regression analyses indicate that Space Fortress Game performance could be predicted reasonably well from EEG Power Spectral Density parameters from the same game, a previous game and from the dual n-back task. Our findings show that it is possible to use data from task training and even from dissimilar, less complex tasks to predict complex task performance (in offline analyses after data collection). They also underline the utility of using EEG measurements for operator state monitoring.

Indexed as

aviationcross-task performance predictionEEGmental workloadn-backoperator stateSpace Fortress Gametraining

Identifiers

PMID42846491
PMCPMC13642727

What OpenQuestion holds

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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.