Neural Noise

fNIRS and cognitive/neural mechanisms of informal reasoning in human–GenAI learning

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  • fNIRS is used to capture neural data in human–GenAI interactive learning contexts.1
  • Cognitive and neural mechanisms of improving informal reasoning in such learning contexts are studied with fNIRS as the physiological time-series modality.1
  • The work appears in NeuroImage (Volume 328, March 2026), by Liangliang Xia, Yan Dong, and Wei-Peng Teo.1 1

Weekly enrichment (2026-07-20)

  • The study assigned 78 participants to complete a learning task under either a traditional search-engine-supported interactive learning mode (TSE group) or a human–GenAI interactive learning mode (GenAI group), using fNIRS to capture cortical hemodynamics.23
  • fNIRS optodes measured medial and dorsolateral prefrontal cortex plus right temporo-parietal regions, targeting areas linked to reasoning, sense-making, and information integration.2
  • Analysts applied sliding-window correlation followed by k-means clustering to extract dynamic functional connectivity (dFC) states—time-varying correlations among brain regions—and correlated them with informal reasoning improvement.2
  • Behaviorally, the two groups showed no significant difference in informal reasoning improvement, and their dFC-state properties were similar across conditions.2
  • In the GenAI group, dFC State 1 (associated with goal-directed sense-making) was significantly positively correlated with informal reasoning improvement.2
  • In the TSE group, dFC State 3 (associated with retrieval and extraction of task-relevant information) was significantly positively correlated with improvement, indicating distinct neural routes to the same behavioral gain.2
  • The paper appears in NeuroImage, Volume 328, article 121796 (2026), authored by Liangliang Xia, Yan Dong, and Wei-Peng Teo (Nanyang Technological University).23
  • The fNIRS data were collected on an Artinis near-infrared spectroscopy system, per the manufacturer’s tracked publications list.3
  • For BCI/neurotech relevance, the findings suggest GenAI-mediated learning recruits goal-directed prefrontal sense-making dynamics that could inform neuroadaptive tutoring and passive-BCI workload monitoring; a related fNIRS study frames GenAI as a “double-edged sword” for creative-thinking learning using facial expressions and fNIRS.4

Footnotes

  1. https://www.sciencedirect.com/science/article/pii/S105381192600114X?dgcid=rss_sd_all ↩ ↩2 ↩3 ↩4

  2. https://doi.org/10.1016/j.neuroimage.2026.121796 ↩ ↩2 ↩3 ↩4 ↩5 ↩6 ↩7

  3. https://publications.artinis.com/publication/xia-cognitive-2026/ ↩ ↩2 ↩3

  4. https://doi.org/10.1016/j.compedu.2026.105578 ↩

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