Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment (Adv. Sci. 12/2022)
Source abstract
Abstract
Regional Radiomics Similarity Networks Reveal Distinct Subtypes in the Mild Cognitive Impairment In article number 2104538 by Kun Zhao, Yong Liu, Shuyu Li, and co‐workers, two mild cognitive impairment (MCI) subtypes are identified by employing nonnegative matrix factorization on the regional radiomics similarity network (R2SN). The two MCI subtypes show specific distinct abnormal patterns in clinical manifestation and clinical outcomes. The stratification into the two subtypes provides a new insight for risk assessment and precise early intervention for MCI patients. [Image: see text]
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Research context
OpenAlex topics: Radiomics and Machine Learning in Medical Imaging
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