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The aim is to determine if fNIRS can predict deeper brain region activity from prefrontal cortex signals during naturalistic conditions.

June 13, 2026Open Access

Predicting whole‐brain neural dynamics from prefrontal cortex fNIRS signals during movie‐watching

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Randomized trial predicts brain activity dynamics in natural settings, indicating the potential of fNIRS technology.

The aim is to determine if fNIRS can predict deeper brain region activity from prefrontal cortex signals during naturalistic conditions.
Developed a signal prediction model using adapted principal component regression (aPCR).
Applied a cross-participant and cross-stimulus approach for robust predictions.
Measured fNIRS signals during movie-watching to assess whole-brain neural dynamics.
Successfully predicted moment-by-moment neural dynamics across large brain areas using prefrontal cortex fNIRS signals.
Predicted dynamics reflected actual functional connectivity patterns.
Captured the temporal accumulation of semantic information across different cortical regions.

Shan Gao (2024) studied this question.

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