Evidence map›Paper›PMID 41769932›Full record

ArticleJMIR human factors2026

Multimodal Virtual Reality Assessment of Medication Effects in Attention-Deficit/Hyperactivity Disorder and Its Distinction From Depression: Cross-Sectional Study.

Laura Asché, Julian Pakos, Hannah Schrage, Johanna Schuder, Luisa Jung, Dario Sanchez, Benjamin Selaskowski, Annika Wiebe, Alexandra Philipsen, Niclas Braun

Abstract read
In one paragraph

Article in JMIR human factors, 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

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

10 authors.

Laura Asché *Department of Psychiatry and Psychotherapy, University Hospital Bonn, University of Bonn, Bonn, North Rhine-Westphalia, Germany.ORCID 0000-0003-1225-7527
Julian Pakos *Department of Psychiatry and Psychotherapy, University Hospital Bonn, University of Bonn, Bonn, North Rhine-Westphalia, Germany.ORCID 0000-0002-2354-0312
Hannah SchrageDepartment of Psychiatry and Psychotherapy, University Hospital Bonn, University of Bonn, Bonn, North Rhine-Westphalia, Germany.ORCID 0009-0003-8147-4872
Johanna SchuderDepartment of Psychiatry and Psychotherapy, University Hospital Bonn, University of Bonn, Bonn, North Rhine-Westphalia, Germany.ORCID 0009-0007-2770-4891
Luisa JungDepartment of Psychiatry and Psychotherapy, University Hospital Bonn, University of Bonn, Bonn, North Rhine-Westphalia, Germany.ORCID 0009-0003-3501-8948
Dario SanchezDepartment of Psychiatry and Psychotherapy, University Hospital Bonn, University of Bonn, Bonn, North Rhine-Westphalia, Germany.ORCID 0009-0009-5472-0066
Benjamin SelaskowskiDepartment of Psychiatry and Psychotherapy, University Hospital Bonn, University of Bonn, Bonn, North Rhine-Westphalia, Germany.ORCID 0000-0002-4117-8265
Annika WiebeDepartment of Psychiatry and Psychotherapy, University Hospital Bonn, University of Bonn, Bonn, North Rhine-Westphalia, Germany.ORCID 0000-0001-6434-3553
Alexandra PhilipsenDepartment of Psychiatry and Psychotherapy, University Hospital Bonn, University of Bonn, Bonn, North Rhine-Westphalia, Germany.ORCID 0000-0001-6876-518X
Niclas BraunDepartment of Psychiatry and Psychotherapy, University Hospital Bonn, University of Bonn, Bonn, North Rhine-Westphalia, Germany.ORCID 0000-0001-9392-1244

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver the past 2 decades, virtual reality-based neuropsychological tasks have gained traction as tools for objectively assessing symptoms of attention-deficit/hyperactivity disorder (ADHD), offering enhanced ecological validity by simulating naturalistic environments. To complement realistic settings with an ecologically valid task, we recently developed the virtual email sorting task (VEST), which immerses participants into an office environment where they sort emails while being exposed to distractors.

objectiveThis study examined for the first time the VEST's sensitivity to medication effects and its specificity in differentiating ADHD from other psychiatric disorders that share overlapping cognitive symptoms, such as major depressive disorder (MDD).

methodsA total of 23 unmedicated individuals with ADHD, 23 medicated individuals with ADHD, and 16 unmedicated individuals with MDD completed the VEST. During alternating distractor phases (DP) and nondistractor phases (NDP), we recorded the participants' task performance; head, torso, and leg actigraphy; eye movements; and brain activity using functional near-infrared spectroscopy (fNIRS), and subjective symptom ratings. Correlational analyses of main objective and subjective task-related parameters were computed. Data were analyzed using mixed-design ANOVAs.

resultsProcessing time variability increased over time in participants with MDD and unmedicated ADHD as indicated by a group × block interaction (P=.04; η

conclusionsOur findings highlight the potential of the VEST to differentiate between ADHD and MDD, as well as to detect medication-related effects within ADHD. The results underscore the value of multimodal and ecological assessment approaches with distractors in the evaluation of attentional and behavioral symptoms. The VEST may offer a standardized way to investigate complex behavior in mental disorders in research settings and, potentially, in clinical practice. However, further studies with greater statistical power are needed to confirm these findings.

trial registrationGerman Clinical Trials Register DRKS00031259; https://www.drks.de/search/de/trial/DRKS00031259/details.

Indexed as

Attention Deficit Disorder with HyperactivityMajor Depressive DisorderVirtual RealityAdultCross-Sectional StudiesFemaleHumansMaleNeuropsychological TestsYoung Adultactigraphyadult ADHDdepressiondiagnosiseye trackinghyperactivityimpulsivityinattentionmedicationvirtual reality

Identifiers

PMID41769932
PMCPMC12993270

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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.