Evidence map›Paper›PMID 42443614›Full record

ArticleGeroScience2026

EEG-based assessment of sustained attention in geriatric inpatients: a feasibility study.

Lina Stagneth, Johanna Geritz, Gesine Hermann, Lea Dahl, Leoni Zuber, Christian Neumann, Josephine Lassen, Corina Maetzler, Cornelia Kranczioch, Julius Welzel and 1 more

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

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0citing papers in PubMed
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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

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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

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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

11 authors.

Lina StagnethDepartment of Neurology, University Hospital Schleswig-Holstein and Christian-Albrechts-University Kiel, Kiel, Germany. l.stagneth@neurologie.uni-kiel.de.ORCID http://orcid.org/0009-0004-4941-1158
Johanna GeritzDepartment of Neurology, University Hospital Schleswig-Holstein and Christian-Albrechts-University Kiel, Kiel, Germany.
Gesine HermannDepartment of Neurology, University Hospital Schleswig-Holstein and Christian-Albrechts-University Kiel, Kiel, Germany.
Lea DahlDepartment of Neurology, University Hospital Schleswig-Holstein and Christian-Albrechts-University Kiel, Kiel, Germany.
Leoni ZuberDepartment of Neurology, University Hospital Schleswig-Holstein and Christian-Albrechts-University Kiel, Kiel, Germany.
Christian NeumannDepartment of Neurology, University Hospital Schleswig-Holstein and Christian-Albrechts-University Kiel, Kiel, Germany.
Josephine LassenDepartment of Neurology, University Hospital Schleswig-Holstein and Christian-Albrechts-University Kiel, Kiel, Germany.
Corina MaetzlerDepartment of Neurology, University Hospital Schleswig-Holstein and Christian-Albrechts-University Kiel, Kiel, Germany.
Cornelia KrancziochNeurocognition and Functional Neurorehabilitation Group, Neuropsychology Lab, Carl Von Ossietzky University of Oldenburg, Oldenburg, Germany.
Julius Welzel *Department of Neurology, University Hospital Schleswig-Holstein and Christian-Albrechts-University Kiel, Kiel, Germany.
Walter Maetzler *Department of Neurology, University Hospital Schleswig-Holstein and Christian-Albrechts-University Kiel, Kiel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sustained attention is a core cognitive function, frequently declines with age and neurological disease, and is highly relevant for functional outcomes in geriatric populations. Electroencephalography (EEG) offers high temporal resolution for assessing attentional processes, but its feasibility in multimorbid geriatric inpatients remains insufficiently characterized. This study evaluated the procedural and methodological feasibility of EEG-based sustained-attention assessments in geriatric inpatients undergoing early rehabilitative geriatric complex treatment (ERGCT). Geriatric participants completed standardized neuropsychological testing and two computerized attention tasks, the Psychomotor Vigilance Task (PVT) and a cued Go-NoGo task, during 32-channel EEG recording, including a resting-state recording. Feasibility was assessed using procedural indicators (recruitment, task completion, follow-up participation) and methodological indicators of EEG data quality, specifically the signal-to-noise ratios (SNR) and identification of expected event-related potential (ERP) components (P100, P300). Of 173 patients referred to the ERGCT programme, 43 could be included. Of those, 38 could undergo structured cognitive testing, and resting-state EEG and task-evoked ERPs could be recorded with adequate signal quality However, procedural feasibility was limited by substantial selection and attrition, resulting in incomplete protocol completion. Exploratory analyses suggest an association between higher resting-state alpha-band signal quality and faster PVT reaction times, whereas no associations were observed with global cognition, executive function, or age. Overall, resting-state and task EEG measures of sustained attention could be acquired with adequate data quality only in a selected subgroup of geriatric inpatients, who were able to participate in structured cognitive assessments, while extended and repeated assessment protocols were constrained by procedural burden, suggesting that EEG-based follow-up assessments are difficult to implement under current clinical conditions.

Indexed as

Cognitive agingElectroencephalographyevent-related potentialsMultimorbidityResting-state EEGsignal-to-noise ratio

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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.