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Home Page: https://colab.research.google.com/github/predictive-clinical-neuroscience/braincharts/blob/master/scripts/apply_normative_models_ct.ipynb

License: GNU General Public License v3.0

Python 15.68% Jupyter Notebook 84.32%

braincharts's Introduction

PCNtoolkit braincharts

Gitter Documentation Status DOI

Pre-trained models, code, documentation, and supporting files for:

1.) Charting Brain Growth and Aging at High Spatial Precision

In press at eLife.

2.) Evidence for Embracing Normative Modeling

In press at eLife.

Training the reference cohort (cortical thickness and subcortical volume) Open In Colab

Fit pre-trained model (cortical thickness and subcortical volume) to new (transfer) data Open In Colab

Fit pre-trained model (surface area) to new (transfer) data Open In Colab

Fit pre-trained model (resting-state functional connectivity - Yeo17 brain networks) to new (transfer) data Open In Colab

Interactive visualizations of evaluation metrics:

Heroku app for exploring explained variance - temporarily offline due to Heroku policy changes.

Click on the 'open in colab' button below to launch the interactive visualization and explore the evaluation metrics yourself. There is a separate visualization for each test set and evaluation metric.

1. Full test set (including 10 randomized split halfs)

Explained Variance Open In Colab

MSLL Open In Colab

Kurtosis Open In Colab

Skew Open In Colab

2. mQC test set

Explained Variance Open In Colab

MSLL Open In Colab

Kurtosis Open In Colab

Skew Open In Colab

3. Patients test set

Explained Variance Open In Colab

MSLL Open In Colab

Kurtosis Open In Colab

Skew Open In Colab

4. Transfer test set

Explained Variance Open In Colab

MSLL Open In Colab

Kurtosis Open In Colab

Skew Open In Colab

braincharts's People

Contributors

saigerutherford avatar amarquand avatar

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