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The effective early prediction of clinical outcomes of Parkinson's disease (PD) is of great significance in the implementation of appropriate interventions. We aimed to propose a method based on the use of baseline resting‐state functional characteristics (i.e., fractional amplitude of low‐frequency fluctuations, fALFF) to predict motor progression in PD patients. Resting‐state functional magnetic...
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