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_voluba-mriwarp_ applies a set of predefined parameters to remove the skull and warp the input brain scan to MNI152 space. You can utilize the warping results in _voluba-mriwarp_ to interactively analyze points by making a probabilistic assignment of coordinates in the input space to brain regions of the [EBRAINS Human Brain Atlas](https://www.ebrains.eu/tools/human-brain-atlas). To get an overview of more information about a brain region, you can access [siibra-explorer](https://atlases.ebrains.eu/viewer/human) through the application. For further analysis, _voluba-mriwarp_ offers to export the anatomical assignments together with linked multimodal data features like receptor densities, cell distributions or brain connectivity.
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## Getting Started
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@@ -15,6 +15,6 @@ Warping brain data to a standardized space like MNI152 enables anchoring of whol
_voluba-mriwarp_ applies a set of predefined parameters to remove the skull and warp the input brain scan to MNI152 space. You can utilize the warping results in _voluba-mriwarp_ to interactively analyze points by making a probabilistic assignment of coordinates in the input space to brain regions of the [EBRAINS Human Brain Atlas](https://www.ebrains.eu/tools/human-brain-atlas). To get an overview of more information about a brain region, you can access [siibra-explorer](https://atlases.ebrains.eu/viewer/human) through the application. For further analysis, _voluba-mriwarp_ offers to export the anatomical assignments together with linked multimodal data features like receptor densities, cell distributions or brain connectivity.
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[^1]: Isensee F, Schell M, Tursunova I, Brugnara G, Bonekamp D, Neuberger U, Wick A, Schlemmer HP, Heiland S, Wick W, Bendszus M, Maier-Hein KH, Kickingereder P. Automated brain extraction of multi-sequence MRI using artificial neural networks. Hum Brain Mapp. 2019; 1–13. [https://doi.org/10.1002/hbm.24750](https://doi.org/10.1002/hbm.24750)
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* Click Warp input to MNI152 space to warp the brain of the subject to MNI152 space using the default registration method. This method is relatively fast but less accurate than the [advanced version](../warping/#advanced-settings). The progress bar indicates that the calculation is still running. When the registration is finished, a green checkmark will appear next to each step performed.
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## Analyze a point in the atlas context
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* You should soon see the results of the anatomical assignment at the bottom of the side panel. As we specified a point uncertainty [different measures](../analysis/#results-of-the-analysis) for each assigned region are shown. Indeed, the region that correlates most with the selected point is **Area hOc1 (V1, 17, CalcS) left** which is part of the visual system.
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## Use the results
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 Get a **quick overview** about an assigned brain region in [siibra-explorer](https://atlases.ebrains.eu/viewer/go/human).
 **Export** assigned brain regions together with linked data features to a PDF report for extended analysis.
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