Fig. 3.

(I) Machine-learning predictions of risk for dystonia relevant to disorder (a) penetrance and (b) manifestation. Radial diagrams depict posterior probability of the subject-specific classification score [range 0.0–1.0]. Corresponding neural alterations used in each classification are shown on the left or right side of the diagrams. Solid areas indicate correctly classified subjects; dashed areas indicate incorrectly identified subjects. (II) Pedigrees of LD families where obligate carriers participated as unaffected relatives and were assigned to the same class as LD patients by the support vector machine. Abbreviations: ACC - anterior cingulate cortex, Cbl - cerebellum, F – functional alteration, FLD – familial laryngeal dystonia patients, HC – healthy controls, IFG - inferior frontal gyrus, Ins – insula, L – left, MFG - middle frontal gyrus, pOp - parietal operculum, R – right, SPL - superior parietal lobule, S – structural alteration, Th – thalamus, UR – unaffected relatives.