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Updated: Jan 18, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
Published on: January 23, 2017
Dynamic estimation of the attentional field from visual cortical activity
Ilona M Bloem1, Leah Bakst1, Joseph T McGuire1
1Department of Psychological & Brain Sciences, Boston University, Boston, United States.
Humans can dynamically adjust the size of their spatial attention field, akin to a spotlight, based on task demands. This study used fMRI to show how the brain
Area of Science:
- Cognitive Neuroscience
- Visual Perception
- Neuroimaging
Background:
- Spatial attention is crucial for navigating the environment and processing visual information.
- Previous research focused on the 'locus' (where attention is directed) but less on the 'spread' (how wide the attentional field is).
- Understanding the dynamic range of attentional spread is key to comprehending attentional control.
Purpose of the Study:
- To develop and validate a paradigm for dynamically estimating the locus and spread of covert spatial attention.
- To investigate how the size of the attentional field is modulated by behavioral demands.
- To link attentional spread to visuocortical activity using functional magnetic resonance imaging (fMRI).
Main Methods:
- Developed a novel fMRI paradigm to measure the locus and spread of covert spatial attention in humans.
- Participants performed a visual task within a cued annulus, with systematically varied cue widths.
- Analyzed blood-oxygen-level-dependent (BOLD) activity in visual areas V1-V3 to model attentional modulation.
Main Results:
- Deployment of attention increased BOLD activity in retinotopic visual areas V1-V3.
- A modeling approach successfully recovered the cued attentional location.
- Wider attentional cues led to a measurable broadening of the attentional modulation, indicating a larger attentional spread.
Conclusions:
- Visuocortical activity reflects dynamic changes in the spread of spatial attention.
- The size of the attentional spotlight can be adaptively adjusted based on the width of the cued area.
- This fMRI-based modeling approach provides insights into the neural basis of attentional dynamics and spatial uncertainty.
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