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Fig. 2 | European Radiology Experimental

Fig. 2

From: The role of disconnection in explaining disability in multiple sclerosis

Fig. 2

Spatial distribution of T2-weighted disconnectome maps and MRI analysis pipeline. Lesion masks were generated in native spaces and then registered in the Montreal Neurological Institute (MNI)152 space (step 1). Lesion masks in the MNI152 space were thus registered to each control native and then used as seeds for the tractography (step 2). Tractographies were binarised and then registered to the MNI152 space using the inverse of precedent deformations (step 3). A percentage overlap map was produced by summing at each point in MNI152 space the normalised visitation map of each healthy subject (step 4). In the resulting disconnectome map, the value in each voxel indicates a probability of disconnection from 0 to 1 for a given lesion (step 5). The image on the left (step 1) shows the lesion probability map, i.e., the probability for each voxel to be interested by a multiple sclerosis (MS) lesion. The image on the right (step 5) shows the disconnectome map, i.e., the probability for each voxel to be disconnected due to MS lesions. As indicated by the colour bars, moving from red to yellow and white, the probability for a given voxel to be interested (on the left) and disconnected (on the right) by MS lesions gradually becomes more and more higher

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