Benson · Journal of vision 2018 · Cross-sectional neuroimaging study · n=181

The Human Connectome Project 7 Tesla retinotopy dataset: Description and population receptive field analysis.

Level 4 - case-series / case-control

Descriptive cross-sectional neuroimaging resource and model-fitting study without a comparator group

PubMed 30593068 · doi:10.1167/18.13.23 · record verified 2026-08-26

What was done

Ultrahigh-field (7 Tesla) functional magnetic resonance imaging (fMRI) retinotopic mapping was performed at 1.6-mm resolution in 181 healthy young adults viewing spatially modulated visual stimuli as part of the Human Connectome Project. Population receptive field position and size were estimated across cortical and subcortical areas using model-based analyses applied to both individual-subject time series and group-averaged data, with within-subject reliability evaluated via split-half analyses.

What was found

The abstract reports no numerical values, test statistics, or quantitative reliability coefficients. Model-based analyses identified signals across occipital, temporal, parietal, and frontal cortex as well as subcortical regions in both individual and group-averaged data, showing alignment with previously published visual area parcellations and strong split-half within-subject reliability.

Why it matters

This study provides an open-access, ultrahigh-field retinotopy dataset and modeling resource from 181 individuals, facilitating research on individual variability in visual cortex organization and integration with other multimodal connectome measures.

Limits

The abstract provides no quantitative metrics or effect sizes. The sample is restricted to healthy young adults, limiting generalizability across older ages or clinical populations, and describes a cross-sectional dataset without experimental control groups.

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