NiiVue Neglect

Provided a lesion map the live demo web page will predict the chronic neglect severity. The provided lesion map should be normalized to standard space. For optimal performance, acute behavioral data should include three behavioral measures: the Center of Cancellation (CoC) letter score, the Center of Cancellation (CoC) bells score and a simple Copy Task. However, the software will provide an estimate with degraded accuracy without these behavioral measures. This is an edge-based solution: the values are computed directly on the web browser, and are not shared with a cloud service.

Usage

1. Open the live demo.
2. Press the Open Lesion Map button and select the normalized lesion. You can normalize lesions using the clinical toolbox for SPM.
3. You can visually inspect the lesion (shown as red) with respect to the grayscale atlas and the core prediction voxels (shown in blue).
4. If known, enter the letters CoC: this Center of Cancellation value should be a number in the range of 0..1. If this value is unknown, make sure this field is empty.
5. If known, enter the bells CoC: this Center of Cancellation value should be a number in the range of 0..1. If this value is unknown, make sure this field is empty.
6. If known, enter the copying score: this value value should be a number in the range of 0..8. If this value is unknown, make sure this field is empty.
7. Press the Prediction button to see the expected outcome score.

For Developers

You can serve a hot-reloadable web page that allows you to interactively modify the source code.

git clone https://github.com/niivue/niivue-neglect
cd niivue-neglect
npm install
npm run dev

Links

These models are described by Röhrig et al.:

• Röhrig L, Wiesen D, Li D, Karnath H-O (2024). Predicting individual long-term prognosis of spatial neglect based on acute stroke patient data. medRxiv 2024.01.10.24301050, https://doi.org/10.1101/2024.01.10.24301050