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PreprintCC BY 4.0PsyArXiv

Validity, Diagnostic Accuracy, and Feasibility of Trail Making Test in Virtual Reality for Mild Cognitive Impairment

Abstract

Background: Immersive virtual reality (VR) adaptations of neuropsychological tests change how participants respond and must be validated in each clinical population. We evaluated the Trail Making Test in Virtual Reality (TMT-VR), a head-gaze version of the paper-and-pencil Trail Making Test (hereafter, TMT) that records completion times and wrong-target selections automatically, in older adults with and without mild cognitive impairment (MCI). Methods: In this case–control evaluation, 84 adults aged 60–89 years (42 with clinically diagnosed MCI, 42 healthy comparison participants) completed the TMT-VR, the TMT and the Mini-Addenbrooke’s Cognitive Examination (M-ACE), with pre- and post-exposure cybersickness ratings. Planned analyses examined feasibility, convergence, group differences and diagnostic accuracy for all 26 TMT-VR scores against their TMT counterparts and the M-ACE, with demographic adjustment, multiplicity correction, bootstrap validation and education-matched sensitivity analysis. Results: All participants completed both TMT-VR parts, and cybersickness ratings decreased over the session. Part B completion times correlated positively across formats within both groups. Participants with MCI were slower and made more wrong-target selections on TMT-VR Part B but not Part A. Score for score, the TMT-VR matched the TMT on Part B completion time and discriminated MCI more effectively on the Part B, total and B−A error scores and every Part B-specific derived score; these effects persisted after demographic adjustment and widened in the education-matched subsample. The TMT's advantage lay in Part A completion time, and its error scores carried little discriminatory information. With education equalised, the TMT-VR B−A scores gave balanced operating characteristics and approached the M-ACE, which every TMT score remained below. The M-ACE discriminated more accurately than any single trail-making score of either format. Conclusions: The TMT-VR is a feasible, well-tolerated adaptation with convergent validity against the TMT and known-groups validity for MCI. Because it discriminated MCI more effectively on the Part B-specific and error-based scores that carry the test's executive demand, it emerges as the preferable Trail Making Test format within neuropsychological batteries for MCI; whether it adds diagnostic information beyond global screens such as the M-ACE must be established in consecutive clinical referrals, together with age- and education-stratified normative cut-offs.

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BibTeX
@misc{kourtesis2026validity,
  title = {{Validity, Diagnostic Accuracy, and Feasibility of Trail Making Test in Virtual Reality for Mild Cognitive Impairment}},
  author = {Panagiotis Kourtesis and Antonia Ioakeimidou and Myrto Dimakopoulou and Christina Anastasopoulou and Maria Roussou and Petros Roussos and Chrysanthi Nega and Ion Beratis},
  howpublished = {PsyArXiv},
  year = {2026},
  month = sep,
  doi = {10.31234/osf.io/wqx32_v1},
  url = {https://osf.io/preprints/psyarxiv/wqx32_v1/},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Validity, Diagnostic Accuracy, and Feasibility of Trail Making Test in Virtual Reality for Mild Cognitive Impairment
AU  - Panagiotis Kourtesis
AU  - Antonia Ioakeimidou
AU  - Myrto Dimakopoulou
AU  - Christina Anastasopoulou
AU  - Maria Roussou
AU  - Petros Roussos
AU  - Chrysanthi Nega
AU  - Ion Beratis
PY  - 2026
DA  - 2026/09/27
PB  - PsyArXiv
DO  - 10.31234/osf.io/wqx32_v1
UR  - https://osf.io/preprints/psyarxiv/wqx32_v1/
AB  - Background: Immersive virtual reality (VR) adaptations of neuropsychological tests change how participants respond and must be validated in each clinical population. We evaluated the Trail Making Test in Virtual Reality (TMT-VR), a head-gaze version of the paper-and-pencil Trail Making Test (hereafter, TMT) that records completion times and wrong-target selections automatically, in older adults with and without mild cognitive impairment (MCI). Methods: In this case–control evaluation, 84 adults aged 60–89 years (42 with clinically diagnosed MCI, 42 healthy comparison participants) completed the TMT-VR, the TMT and the Mini-Addenbrooke’s Cognitive Examination (M-ACE), with pre- and post-exposure cybersickness ratings. Planned analyses examined feasibility, convergence, group differences and diagnostic accuracy for all 26 TMT-VR scores against their TMT counterparts and the M-ACE, with demographic adjustment, multiplicity correction, bootstrap validation and education-matched sensitivity analysis. Results: All participants completed both TMT-VR parts, and cybersickness ratings decreased over the session. Part B completion times correlated positively across formats within both groups. Participants with MCI were slower and made more wrong-target selections on TMT-VR Part B but not Part A. Score for score, the TMT-VR matched the TMT on Part B completion time and discriminated MCI more effectively on the Part B, total and B−A error scores and every Part B-specific derived score; these effects persisted after demographic adjustment and widened in the education-matched subsample. The TMT's advantage lay in Part A completion time, and its error scores carried little discriminatory information. With education equalised, the TMT-VR B−A scores gave balanced operating characteristics and approached the M-ACE, which every TMT score remained below. The M-ACE discriminated more accurately than any single trail-making score of either format. Conclusions: The TMT-VR is a feasible, well-tolerated adaptation with convergent validity against the TMT and known-groups validity for MCI. Because it discriminated MCI more effectively on the Part B-specific and error-based scores that carry the test's executive demand, it emerges as the preferable Trail Making Test format within neuropsychological batteries for MCI; whether it adds diagnostic information beyond global screens such as the M-ACE must be established in consecutive clinical referrals, together with age- and education-stratified normative cut-offs.
ER  -