Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment (Adv. Sci. 12/2022)

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 radiom...

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Detalles Bibliográficos
Autores principales: Zhao, Kun, Zheng, Qiang, Dyrba, Martin, Rittman, Timothy, Li, Ang, Che, Tongtong, Chen, Pindong, Sun, Yuqing, Kang, Xiaopeng, Li, Qiongling, Liu, Bing, Liu, Yong, Li, Shuyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036028/
http://dx.doi.org/10.1002/advs.202270073
Descripción
Sumario: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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