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Spatial Frequency Training Modulates Neural Face Processing: Learning Transfers from Low- to High-Level Visual

Judith C Peters1, Carlijn van den Boomen2, Chantal Kemner2

  • 1Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht UniversityMaastricht, Netherlands; Department of Neuroimaging and Neuromodeling, Netherlands Institute for Neuroscience, Institute of the Royal Netherlands Academy of Arts and Sciences (KNAW)Amsterdam, Netherlands.

Frontiers in Human Neuroscience
|February 3, 2017
PubMed
Summary
This summary is machine-generated.

Training visual perception of low spatial frequency (LSF) improves face processing and alters neural activity. This suggests LSF training can enhance face recognition in individuals with atypical visual processing, like those with Autism Spectrum Disorder (ASD).

Keywords:
ASDERPface processinglearningneuroplasticityspatial frequency

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Area of Science:

  • Neuroscience
  • Visual Perception
  • Cognitive Psychology

Background:

  • Visual perception training often yields specific, not general, improvements.
  • The transferability of low-level visual feature training to high-level perception and its neural basis are not well understood.

Purpose of the Study:

  • To investigate if training low spatial frequency (LSF) perception enhances high-level visual perception, specifically face processing.
  • To determine if LSF training induces neuroplastic changes in neural responses to complex stimuli.

Main Methods:

  • An event-related potential (ERP) study was conducted.
  • Participants underwent training to improve sensitivity to low spatial frequency (LSF) visual stimuli.
  • Neural activity, including the N170 component related to face processing, was measured before and after training.

Main Results:

  • LSF training led to decreased neural activity (N170) for low SF content in faces.
  • This effect was specific to the trained LSF, not high SF content.
  • Neural processing of facial information was altered by LSF training.

Conclusions:

  • Spatial frequency (SF) discrimination learning transfers from simple stimuli to complex objects like faces.
  • Training with specific SF information impacts the neural processing of facial information.
  • These findings suggest potential therapeutic applications for improving face recognition in conditions like Autism Spectrum Disorder (ASD) and following cataract surgery.