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Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
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Selective attention modulates high-frequency activity in the face-processing network.

Kathrin Müsch1, Carlos M Hamamé2, Marcela Perrone-Bertolotti3

  • 1Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
|July 15, 2014
PubMed
Summary
This summary is machine-generated.

Selective attention modulates brain activity during face processing. Endogenous attention impacts the entire face network, particularly enhancing gamma band activity when faces are task-relevant.

Keywords:
AmygdalaEmotionFace processingGamma band activityIntracranial EEG

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Brain Imaging

Background:

  • Face processing relies on a distributed neuronal network.
  • Attention significantly influences this network based on task demands.
  • The precise impact of different attention types on face processing dynamics is not fully understood.

Purpose of the Study:

  • To investigate how voluntary (endogenous) and involuntary (exogenous) attention affect neuronal activity in the face-processing network.
  • To determine if attention modulates response strength, latency, duration, or spectral characteristics.
  • To map the temporal dynamics of emotional face processing under varying attentional loads.

Main Methods:

  • Utilized intracranial electroencephalography (iEEG) for high temporal and spatial resolution.
  • Recorded from depth electrodes in key brain regions: VOTC, VTC, anterior insula, OFC, and amygdala.
  • Analyzed frequency-specific responses and event-related potentials (ERPs) for task-relevant versus task-irrelevant facial expressions.

Main Results:

  • All investigated regions showed modulation by task demands, with increased gamma band activity (50-150 Hz) for task-relevant faces.
  • Neuronal activation was temporally coordinated across the network, not strictly hierarchical.
  • Early responses in VOTC/VTC and anterior insula, with later modulation in OFC/amygdala, suggesting task-dependent recruitment of extended networks.
  • Minimal differences observed between fearful and neutral faces.

Conclusions:

  • The face-processing network's activity is highly sensitive to selective attention.
  • Endogenous attention influences the entire face-processing network, reflected in gamma band activity changes.
  • The extended face-processing system (OFC, amygdala) is engaged when active face processing is required by the task.