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Visualization of Cortical Modules in Flattened Mammalian Cortices
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Normative cerebral cortical thickness for human visual areas.

Ivan Alvarez1, Andrew J Parker2, Holly Bridge1

  • 1Oxford Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.

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|July 29, 2019
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Summary

This study provides a large normative dataset for human visual cortex thickness. These findings establish a reliable baseline for comparing visual brain structures across different populations.

Keywords:
Cortical thicknessExtrastriateFreeSurferHuman connectome projectMRIV1Visual cortex

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Area of Science:

  • Neuroimaging
  • Human Brain Anatomy

Background:

  • Cerebral neocortical thickness studies often use limited control groups.
  • Comparing specific populations with visual system abnormalities requires robust normative data.

Purpose of the Study:

  • To establish a normative dataset for cortical thickness across 25 human visual areas.
  • To provide a reliable reference for studies investigating visual system abnormalities.

Main Methods:

  • Utilized FreeSurfer software for cortical thickness estimation.
  • Analyzed data from 960 participants in the Human Connectome Project.
  • Focused on 25 distinct human visual areas.

Main Results:

  • Cortical thickness exhibits systematic variation across visual areas, aligning with known visual pathway hierarchies.
  • Cortical thickness estimates demonstrated high within-subject reliability and consistency.
  • Data confirmed that visual area cortical thickness is normally distributed, facilitating statistical analysis.

Conclusions:

  • The developed normative dataset offers a valuable resource for neuroscience research.
  • Normal distribution of cortical thickness allows for direct statistical comparisons in clinical and research settings.
  • This dataset will aid in understanding variations in visual system structure.