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Structured Neural Variability from Repeated Naturalistic Video Watching Experiences.

Menghan Yang1, Pin-Hao A Chen2, Amanda M Brandt3

  • 1Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, 03755.

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Summary
This summary is machine-generated.

Neural responses change with repeated viewing. Sensory areas become less similar over time, while interpretation areas reflect recent experiences, showing brain plasticity.

Keywords:
V1fMRIindividual differencesnaturalistic stimulivmPFC

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Brain Imaging

Background:

  • The brain integrates perception and interpretation for environmental navigation.
  • It's often assumed neural processes are invariant to repeated experiences.

Purpose of the Study:

  • Investigate how neural responses to naturalistic stimuli evolve across multiple viewings.
  • Examine changes in brain activity patterns with repeated exposure to visual stimuli.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was used.
  • Twenty participants viewed 24 short videos across five separate scanning sessions.
  • Analyzed between-subject correlations (BSC) and within-subject correlations (WSC) of neural activity.

Main Results:

  • BSC decreased with repeated viewing, indicating increased individual variability.
  • WSC consistently exceeded BSC, showing individuals are more consistent with themselves than others.
  • Early visual cortex showed increasing neural dissimilarity with viewing, reduced feature coupling, and altered default mode network interaction.
  • Ventromedial prefrontal cortex (vmPFC) exhibited temporal proximity effects, with activity patterns reflecting session recency rather than viewing number.
  • vmPFC temporal structure correlated with participants' fluctuating video preferences.

Conclusions:

  • Repeated experiences are processed differently each time.
  • Sensory systems adapt to familiar input by altering neural responses.
  • Interpretive systems dynamically reshape meaning based on internal states and temporal context.