Replication Data for: Spatial distributions of white matter hyperintensities on brain MRI: a pooled analysis of individual patient data from 11 memory clinic cohorts

Data to replicate our work on the spatial distribution of white matter hyperintensities on brain MRI.

<p>This dataset contains two files:
<dl>
<dt>metavcimap_memory_clinic_n3525_mni_space.nii.gz</dt><dd>WMH probability map, showing the spatial distribution of WMH in 3525 patients from 11 memory clinic cohorts. This file can be opened with a medical image viewer that supports the NIfTI data format.</dd>
<dt>wmh_atypical_patterns_model.sav</dt><dd>A scikit-learn Local Outlier Factor model trained on the 3525 patients in novelty-mode. This model can be used to process your own data, with the code provided on GitHub. This file can be opened using the Python library skops (<a href="https://skops.readthedocs.io/">https://skops.readthedocs.io/</a>). </dd></p>

Supporting code is available on GitHub: <a href="https://github.com/Meta-VCI-Map/WMH_distribution_memory_clinic">https://github.com/Meta-VCI-Map/WMH_distribution_memory_clinic</a>, as a Jupyter Notebook: <a href="https://github.com/Meta-VCI-Map/WMH_distribution_memory_clinic/blob/main/WMH_atypical_patterns.ipynb">https://github.com/Meta-VCI-Map/WMH_distribution_memory_clinic/blob/main/WMH_atypical_patterns.ipynb</a>.