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Related Experiment Video

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Methods to Test Visual Attention Online
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Distinctive Correspondence Between Separable Visual Attention Functions and Intrinsic Brain Networks.

Adriana L Ruiz-Rizzo1,2, Julia Neitzel1,3, Hermann J Müller1,4

  • 1Department of General and Experimental Psychology, Ludwig-Maximilians-Universität München, Munich, Germany.

Frontiers in Human Neuroscience
|April 18, 2018
PubMed
Summary

Individual differences in visual attention, including processing speed and top-down control, are linked to specific patterns of brain network connectivity. These findings suggest stable attention traits are reflected in the brain's intrinsic functional organization.

Keywords:
functional connectivityintrinsic brain networksresting-state fMRItop-down controlvisual attentionvisual processing speed

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Neuroimaging

Background:

  • Visual attention involves separable functions relying on interacting neural mechanisms.
  • The theory of visual attention (TVA) quantifies individual differences in attentional capacity and selectivity.
  • Mapping TVA parameters to intrinsic brain functional connectivity remains unclear.

Purpose of the Study:

  • To investigate whether distinct TVA parameters map onto specific intrinsic functional brain networks.
  • To explore the relationship between TVA parameters and functional connectivity within and between brain networks.

Main Methods:

  • 31 healthy young adults performed whole- and partial-report tasks.
  • Resting-state functional magnetic resonance imaging (rs-fMRI) was used to assess intrinsic functional connectivity.
  • Independent component analysis identified functional networks, and TVA modeled report accuracy to estimate individual parameters.

Main Results:

  • Visual processing speed correlated with functional connectivity within the ventral attention network.
  • Top-down control efficiency related to connectivity in dorsal attention and visual networks.
  • Inter-network connectivity (e.g., ventral attention-right frontoparietal) was associated with performance.

Conclusions:

  • Specific visual attention parameters correspond distinctly to intrinsic functional connectivity patterns within and between brain networks.
  • Individual differences in basic attention functions are reflected in the coherence of ongoing brain activity.
  • Findings support a link between stable attentional traits and large-scale brain network organization.