Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Human Factors

Date Submitted: Oct 6, 2025
Open Peer Review Period: Oct 6, 2025 - Dec 1, 2025
Date Accepted: Jan 19, 2026
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

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

Asché L, Pakos J, Schrage H, Schuder J, Jung L, Sanchez D, Selaskowski B, Wiebe A, Philipsen A, Braun N

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

JMIR Hum Factors 2026;13:e85351

DOI: 10.2196/85351

PMID: 41769932

PMCID: 12993270

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

Background:

Over the past two decades, virtual reality (VR)-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.

Objective:

The present study examined 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).

Methods:

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 non-distractor phases (NDP), we recorded the participant's task performance, head, torso, and leg actigraphy, eye movements, and brain activity using functional near-infrared spectroscopy (fNIRS), and subjective symptom ratings. Data were analyzed using mixed-design ANOVAs.

Results:

Processing time variability increased over time in participants with MDD and unmedicated ADHD, while for medicated participants with ADHD it only increased during DP. Moreover, both ADHD groups exhibited increased head movements during DP compared to NDP, an effect not observed in the MDD group. Also, higher scores in three out of four subjective ADHD symptom intensity ratings were reported in at least one of the ADHD groups compared to the MDD group. No significant group differences were found in actigraphy measures of the arm and torso, fNIRS brain activity, or eye-tracking data.

Conclusions:

Our 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 including distractors in the evaluation of attentional and behavioral symptoms. Clinical Trial: The study was preregistered on July 20, 2023, in the German Clinical Trials Register (https://www.drks.de/, trial-ID: DRKS00031259).


 Citation

Please cite as:

Asché L, Pakos J, Schrage H, Schuder J, Jung L, Sanchez D, Selaskowski B, Wiebe A, Philipsen A, Braun N

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

JMIR Hum Factors 2026;13:e85351

DOI: 10.2196/85351

PMID: 41769932

PMCID: 12993270

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.