Neural Noise

Neuroimaging of reality: neural bases of decision-making with real-world objects

2 min read

  • A new approach uses neuroimaging to investigate neural bases of decision-making with real-world objects (Journal of Neuroscience Methods, Volume 429, May 2026).1
  • Authors include Damien Gabriel, Guillaume Bertrand, Magali Nicolier, and Julie Giustiniani.1 1

Weekly enrichment (2026-07-20)

  • The article (Journal of Neuroscience Methods, 2026; DOI 10.1016/j.jneumeth.2026.110692; corresponding author Damien Gabriel) introduces “Lab-Life,” a homemade interface for manipulating real-world objects during EEG so decision-making can be studied under ecological yet controlled conditions (the ScienceDirect page timed out on fetch, so detail is drawn from the DOI metadata and the registered protocol).2
  • The method addresses the gap that most object-vision and value-based decision research relies on 2-D computerized images rather than tangible objects, aiming for higher ecological validity without degrading EEG data quality.2
  • Lab-Life is designed to preserve precise temporal synchronization between physical object interaction and EEG event markers and to avoid adding movement artifacts relative to virtual tasks.2
  • The associated validation study (ClinicalTrials.gov NCT06337500) is a randomized interventional trial with an estimated enrollment of 180 participants, comparing hybrid (real-object) versus virtual versions of the Iowa Gambling Task and a dice-rolling task under high-resolution EEG.3
  • Its primary endpoint is validation of Lab-Life as a tool that simulates an ecological task with sufficient fidelity while meeting conditions for high-quality EEG recording, using the IGT net score compared across ecological, virtual, and hybrid task versions.3
  • Reported behavioral observations indicate participants find interacting with real objects more enjoyable, consistent with the broader “reality” literature that tangible stimuli are valued more than images.2
  • Precise per-participant EEG sample sizes and effect sizes for the 2026 methods paper are not available in the accessible metadata (not reported here).2
  • Context from the real-object decision-making literature: willingness-to-pay rose ~6.6% for real snack foods versus matched high-resolution 2-D images, quantifying the “realness” premium that the Lab-Life paradigm seeks to capture neurally.4

Footnotes

  1. https://www.sciencedirect.com/science/article/pii/S0165027026000221?dgcid=rss_sd_all ↩ ↩2 ↩3

  2. https://doi.org/10.1016/j.jneumeth.2026.110692 ↩ ↩2 ↩3 ↩4 ↩5

  3. https://clinicaltrials.gov/study/NCT06337500 ↩ ↩2

  4. https://pmc.ncbi.nlm.nih.gov/articles/PMC7228680/ ↩

Graph View