View, engage, predict: enhancing brain-behavior mapping with naturalistic movie-watching fMRI
Zhang, Y.; Finn, E. S.; Sabuncu, M. R.; Kuceyeski, A.
Show abstract
Most brain-behavior mapping studies rely on resting-state functional connectivity (FC), but this approach has known accuracy limits and can be outperformed by movie-watching FC. Here, we present a novel deep neural network framework to predict cognitive scores and sex from FC during naturalistic movie viewing, and examine how movie content and its ability to synchronize brain activity across individuals relate to prediction performance. We show that FC from movie-watching generally outperforms resting-state FC - even when compared to five times more temporal data - with sensory and higher-order brain networks emerging as the most important for prediction. Using both static and sliding-window dynamic FC approaches, we find that higher cognitive prediction accuracy is significantly associated with greater inter-subject synchrony and the duration of human faces and voices in the movies; these effects were not found for sex prediction. This work underscores the promise of naturalistic movie viewing as a powerful tool for probing individual differences in the brain and revealing neural underpinnings of human behavior.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- High-amplitude network co-fluctuations linked to variation in hormone concentrations over menstrual cycle 96%
- Dynamic community detection reveals transient reorganization of functional brain networks across a female menstrual cycle 96%
- Functional connectivity of fMRI using differential covariance predicts structural connectivity and behavioral reaction times 96%
Similar papers in this journal
- No evidence for a relationship between social closeness and similarity in resting-state functional brain connectivity in schoolchildren 95%
- The neurocognitive gains of diagnostic reasoning training using simulated interactive veterinary cases. 94%
- Jumping over Baselines with New Methods to Predict Activation Maps from Resting-state fMRI 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.