The intrinsic geometry of reading
Authors/Creators
-
1.
Centre National de la Recherche Scientifique
-
2.
Wellcome Centre for Integrative Neuroimaging
Contributors
-
1.
University of Leipzig
- 2. Max Planck School of Cognition, Leipzig, Germany.
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3.
Wellcome Centre for Integrative Neuroimaging
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4.
Centre National de la Recherche Scientifique
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5.
Inria Saclay - Île de France
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6.
University of Surrey
- 7. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia
- 8. Kings College London
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9.
Queen's University
-
10.
University of York
- 11. Full brain picture Analytics, Leiden, The Netherlands
Description
Data Repository: The Intrinsic Geometry of Reading
Data files associated with the manuscript "The intrinsic geometry of reading."
The analysis code and notebooks are available in the associated GitHub repository: https://github.com/NeuroanatomyAndConnectivity/IntrinsicGeometryOfReading
Contents
Model results for Notebooks 2–5
data_nb_2_5.tar.gz contains the outputs of pre-run CPM models needed to reproduce the model performance plots in Notebooks 2–5. To use:
- Unpack the archive into the
data/folder inside your local clone of the code repository:
tar -xzf data_nb_2_5.tar.gz -C /path/to/IntrinsicGeometryOfReading/data/
- Update the
data_dirpath variable at the top of each notebook to point to the unpacked location:
data_dir = '/path/to/IntrinsicGeometryOfReading/data/'
Note: Data for Notebook 6 (Supplementary Figures S2–S5) is not included here due to file size. It is available upon request.
Raw data for recreating datasets (Schaefer 400 parcellation)
All raw data needed to recreate the analysis datasets from scratch are provided as CSVs for the Schaefer 400 parcellation. These can be used with Notebook 1 (nb1_make_a_dataset.ipynb) to rebuild subject-level dataset objects. The discovery_data_ordered.tar.gz also contains the parquet files from other parcellations. These can be used to reconstruct datasets when bevahioural data is available. Once datasets are reconstructed, full CPM analysiss can be rerun.
Files
discovery_confound_total_surface_area.csv
Files
(12.4 GB)
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Additional details
Software
- Repository URL
- https://github.com/NeuroanatomyAndConnectivity/IntrinsicGeometryOfReading
- Development Status
- Active