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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
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Propagation of Action Potentials01:23

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The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
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Related Experiment Video

Updated: Oct 3, 2025

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
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Predictive coding during action observation - A depth-resolved intersubject functional correlation study at 7T.

Leonardo Cerliani1, Ritu Bhandari1, Lorenzo De Angelis1

  • 1Social Brain Lab, Netherlands Institute for Neuroscience, Amsterdam, the Netherlands.

Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
|February 15, 2022
PubMed
Summary
This summary is machine-generated.

Predicting actions through feedback connections in the brain involves specific parietal cortex layers. This study used 7T MRI to show predictable action sequences activate these feedback pathways more than scrambled ones.

Keywords:
Action observationDepth-resolved fMRINaturalistic viewingPredictionsPredictive coding

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Social Cognition

Background:

  • Action observation involves well-documented brain regions, but their communication for action understanding and prediction is unclear.
  • Traditional feed-forward models contrast with predictive coding models emphasizing feedback connections for action prediction.

Purpose of the Study:

  • To investigate the role of feedback connections in action prediction by examining cortical layer-specific activity.
  • To differentiate between feed-forward and predictive coding models of action observation.

Main Methods:

  • Utilized submillimeter functional Magnetic Resonance Imaging (fMRI) at 7 Tesla (7T).
  • Employed intersubject functional correlation (ISFC) to measure action-related activity and functional connectivity.
  • Compared brain activity during observation of predictable (natural) versus unpredictable (scrambled) hand action sequences.

Main Results:

  • Predictable action sequences elicited greater action-related activity in specific parietal cortical area PFt layers (III and V/VI) compared to scrambled sequences.
  • Functional connectivity analysis indicated these signals in PFt originated from the ventral premotor region BA44.
  • Demonstrated increased activity in feedback-receiving layers during predictable action observation.

Conclusions:

  • Provides evidence supporting predictive coding models that highlight the importance of feedback connections in action prediction.
  • Showcases the utility of 7T MRI and ISFC for studying social cognition under naturalistic conditions.
  • Suggests feedback connections play a crucial role in predicting upcoming actions based on observed sequences.