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The human brain, a complex organ, is functionally divided into two cerebral hemispheres—left and right. These hemispheres are interconnected by a structure of paramount importance, the corpus callosum. This substantial bundle of neural fibers is not just a bridge between the hemispheres but a crucial element for the brain's comprehensive functioning. It enables efficient communication between the two hemispheres, allowing each side of the brain to control and receive sensory and motor...
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Related Experiment Video

Updated: Sep 11, 2025

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
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Interhemispheric integration in the neural face perception network: Does stimulus location matter?

Julia Elina Stocker1, Antonia Schulz1, Ina Thome1

  • 1Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany.

Imaging Neuroscience (Cambridge, Mass.)
|August 13, 2025
PubMed
Summary
This summary is machine-generated.

Stimulus location influences brain connectivity during face perception. Peripheral face presentation results in different neural network patterns compared to central presentation, affecting interhemispheric transfer.

Keywords:
DCMFFAOFAfMRIface perceptioninterhemispheric transferlateralizationnetworkperipheral stimulation

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Neuroimaging

Background:

  • Hemispheric lateralization research often uses peripheral stimuli, potentially differing from central processing.
  • Understanding interhemispheric integration requires models applicable to typical foveal processing.

Purpose of the Study:

  • To investigate how stimulus location (peripheral vs. central) affects neural network connectivity during face perception.
  • To compare interhemispheric transfer mechanisms for peripheral versus central face stimuli using fMRI and DCM.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) on 17 healthy volunteers viewing peripheral or central face and object images.
  • Dynamic Causal Modelling (DCM) to analyze neural network connectivity and interhemispheric transfer.
  • Bayesian Model Averaging (BMA) to integrate parameters across five connectivity models.

Main Results:

  • Bilateral face-sensitive regions (FFA, OFA) and V1 were identified.
  • Peripheral face stimuli induced significantly different interhemispheric transfer patterns compared to central stimuli.
  • Asymmetrical connectivity patterns were observed for left and right visual field presentations.

Conclusions:

  • Stimulus location critically modulates neural network connectivity in face processing.
  • Peripheral and central face presentations activate distinct processing pathways.
  • Central stimulus processing aligns more closely with typical face perception networks.