Folded concave penalized learning in identifying multimodal MRI marker for Parkinson's disease

摘要

Background: Brain MRI holds promise to gauge different aspects of Parkinson's disease (PD)-related pathological changes. Its analysis, however, is hindered by the high-dimensional nature of the data.