Retinotopic connectivity maps of human visual cortex with unconstrained eye movements

Area of Science:

• Neuroscience
• Computational Neuroscience
• Visual Neuroscience

Background:

• Standard retinotopic mapping reveals topographic visual field maps in the human visual cortex.
• Current methods face limitations in patient populations, atypical groups, and across the lifespan, restricting our understanding of visual processing.

Purpose of the Study:

• To develop a novel data-driven method for estimating connective fields and generating fine-grained functional connectivity maps.
• To overcome the constraints of standard mapping techniques, enabling broader application in clinical and developmental neuroscience.

Main Methods:

• A novel data-driven approach to estimate connective fields, creating maps of functional connectivity between brain areas.
• The method demonstrates robustness to large eye movements and myopic defocus.
• Utilizes entertaining stimuli and unconstrained eye movements, unlike traditional controlled experiments.

Main Results:

• Identified inhibitory connectivity fields that accompany and surround facilitatory fields.
• Demonstrated that the visual field extent of inhibitory subfields decreases with cortical magnification.
• Successfully generated retinotopic maps, including the visual periphery, previously challenging to map.

Conclusions:

• The connective field method offers a robust and versatile tool for mapping visual cortex organization.
• This approach significantly enhances the ability to study visual processing in populations where traditional methods are inadequate.
• Provides new insights into the retinotopic architecture of the visual cortex, particularly in challenging participant groups.