ArticleCureus2026
Disentangling Cognitive Load From Visual Reflexes: An Iso-Luminant Framework for Virtual Reality (VR)-Based Pupillometry.
Article in Cureus, 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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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.
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Pupillometry is a robust, non-invasive indicator of cognitive load; however, its application in virtual reality (VR) is compromised by luminance-driven pupillary light reflexes (PLR) that mask subtle task-evoked pupillary responses (TEPR). We introduce a strict iso-luminant VR protocol to isolate cognitive load-related autonomic responses. The framework comprises a PLR validation phase establishing reflex dynamics via controlled luminance alternations, followed by a cognitive isolation phase where visual luminance is clamped constant and cognitive load is modulated exclusively through auditory tasks. Analysis of 22 sessions confirmed PLR sensitivity (mean amplitude: 1.52 ± 0.33 mm, constriction velocity: 19.1 ± 11.2 mm/s). Critically, under iso-luminant conditions, TEPR was successfully isolated with significant dilation during high-load versus low-load conditions (mean difference: 0.38 ± 0.28 mm). The framework differentiated temporal signatures: PLR exhibited rapid velocity (19.1 mm/s), while cognitive load induced gradual dilation (3.86 mm/s), demonstrating a response velocity increased by a factor of 5.2 compared with the cognitive condition. This temporal dissociation confirms that pupillary changes under iso-luminant conditions reflect cognitive processing through the locus coeruleus-norepinephrine (LC-NE) pathway rather than brainstem-mediated light reflexes. The methodology establishes a reproducible foundation for VR-based neuro-ergonomic research with potential applications in attention-deficit/hyperactivity disorder (ADHD) assessment and neurodegenerative disease monitoring.
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