研究目的
To describe the Human Connectome Project 7 Tesla retinotopy dataset and perform population receptive field analysis on the fMRI data to estimate pRF position and size, providing a large publicly available resource for studying visual cortex organization.
研究成果
The HCP 7T Retinotopy Dataset provides high-quality pRF estimates with robust signals in widespread cortical and subcortical areas, showing strong reliability and agreement with existing parcellations. It serves as a valuable resource for studying individual variability, comparing with other HCP data, and resolving controversies in retinotopic map organization, with publicly available data and code facilitating further research.
研究不足
The stimulus size was limited to 8 degrees eccentricity, missing far periphery representations. Edge effects may cause underestimation of pRF size and displaced centers for pRFs near stimulus limits. Model solutions are discretized due to grid fitting, and gain was constrained to nonnegative values, which may not suit areas with BOLD signal decreases. The use of a specific pRF model (isotropic Gaussian with fixed exponent) may not capture all neural properties, and stimulus and task effects (e.g., attention to fixation) could limit responses in some brain regions. Group-average results are influenced by intersubject alignment quality, and there may be residual misalignment despite advanced registration methods.
1：Experimental Design and Method Selection:
The study used a model-based analysis approach with a population receptive field (pRF) model, specifically the Compressive Spatial Summation model, to analyze fMRI data from retinotopic mapping experiments. The paradigm involved subjects viewing spatially modulated visual stimuli through moving apertures (wedges, rings, bars) with dynamic colorful textures to elicit robust neural responses.
2：Sample Selection and Data Sources:
Data were collected from 181 healthy young adults (age 22-35) as part of the Human Connectome Project, with fMRI data acquired at 7 Tesla resolution (
3：6-mm isotropic voxels, 1-s temporal sampling). List of Experimental Equipment and Materials:
A Siemens 7T Magnetom scanner with a 32-channel receiver coil array, NEC NP4000 projector for stimulus presentation, Macintosh computer running Psychophysics Toolbox for stimulus control, button box for response recording, and EyeLink 1000 system for eye tracking.
4：Experimental Procedures and Operational Workflow:
Subjects participated in six 5-minute fMRI runs with different aperture types. They fixated on a central dot and pressed a button when its color changed. fMRI data were preprocessed using HCP pipelines, including motion correction, distortion correction, and alignment to standard surface space. pRF models were fit to the time series data for each grayordinate using nonlinear optimization.
5：Data Analysis Methods:
pRF model fitting was performed using a modified version of the analyzePRF MATLAB toolbox, with parameters estimated for angle, eccentricity, size, gain, variance explained, and mean signal intensity. Reliability was assessed through split-half analyses.
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