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Electrophysiological correlates of temporal numerosity adaptation
Paolo A Grasso1,2, Irene Petrizzo1, Francesca Coniglio1
1Department of Neuroscience, Psychology, Pharmacology and Child Health, University of Florence, Florence, Tuscany, Italy.
Frontiers in Neuroscience
|March 20, 2024
Summary
Short-term changes in visual processing, known as adaptation, affect how we perceive numerical information over time. This study explored the brain activity linked to adapting to temporal numerical sequences, finding it relates to rhythmic brain responses and connectivity.
Area of Science:
- Neuroscience
- Cognitive Science
- Visual Perception
Background:
- The human visual system can estimate numerical quantities in both space and time.
- Visual perception is susceptible to adaptation, where prior exposure to numerical information alters subsequent perception.
- While spatial numerosity adaptation is well-studied, the neural basis of temporal numerosity adaptation remains unclear.
Purpose of the Study:
- To investigate the electrophysiological correlates of temporal numerosity adaptation.
- To understand the neural mechanisms underlying short-term plastic changes in temporal numerical encoding.
Main Methods:
- Participants adapted to high or low numerosity temporal sequences of flashes.
- Behavioral responses assessed numerosity perception of a test sequence.
- Electrophysiological recordings (steady-state visual evoked potentials - ssVEPs) and functional connectivity analysis were performed.
Main Results:
- Behavioral results showed underestimation of test stimuli following high numerosity adaptation.
- Larger ssVEP amplitudes were observed for test stimuli preceded by high numerosity sequences, correlating with behavioral adaptation.
- Topographical analysis revealed differences in ssVEP across specific electrode clusters and linked them to altered functional connectivity.
Conclusions:
- Temporal numerosity adaptation involves changes in rhythmic evoked brain activity.
- These neural changes are likely associated with long-range communication between brain regions.
- The findings shed light on the neural underpinnings of temporal numerical processing and visual plasticity.

