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Related Experiment Video

Updated: Jan 7, 2026

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias
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Brain-AI Alignment in Naturalistic Movies.

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Large language models like Gemini can semantically annotate movie clips, linking artificial intelligence (AI) features to brain activity. This AI-brain alignment predicts neural responses and cognitive abilities, offering a new framework for understanding cognition.

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Area of Science:

  • Cognitive Neuroscience
  • Artificial Intelligence
  • Neuroimaging

Background:

  • Naturalistic stimuli, such as movies, provide rich insights into human cognition.
  • Linking complex movie content to brain activity (fMRI) and cognitive performance remains challenging.
  • Interpreting distributed brain responses to dynamic stimuli requires advanced analytical tools.

Purpose of the Study:

  • To utilize a multimodal large language model (LLM) as an automated semantic annotator.
  • To bridge naturalistic movie stimuli, brain activity, and cognitive performance.
  • To quantify brain-AI alignment in naturalistic settings.

Main Methods:

  • Segmented movie clips and prompted an LLM (Gemini) to rate them on 11 psychological dimensions.
  • Extracted clip-wise BOLD (Blood-Oxygen-Level-Dependent) activation patterns from fMRI data.
  • Fit linear regression models to predict brain responses using LLM-derived semantic features.

Main Results:

  • LLM-derived features robustly predicted brain activity in association cortices (temporal, parietal, frontal).
  • Predictive power was lower in unimodal sensory and insular regions.
  • Brain-AI alignment correlated with resting-state connectivity and predicted cognitive abilities (fluid and crystallized).

Conclusions:

  • Foundation models offer a scalable framework for quantifying brain-AI alignment.
  • Prompt-defined, interpretable features from LLMs can bridge biological and artificial semantic representations.
  • This approach provides a practical method for analyzing brain responses to naturalistic stimuli.