Mesoscopic fMRI with CBV-sensitive VASO can be a valuable tool for research questions on affected neural processing in patients suffering from neurological diseases. However, its applicability in patient populations remains unclear and is challenged by multiple methodological constraints. Here, we seek to use finger tapping tasks in hand dystonia patients to map affected topographical and laminar fMRI features. Specifically, we described the input-dominated laminar input-output circuits in the primary motor system as well as the ‘scrambled’ finger representations in the somatosensory areas. We built and validated an acquisition and analyses setup for laminar and columnar mapping in patient populations.
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