Resting-State Multi-Spectrum Functional Connectivity Networks for Identification of MCI Patients

In this paper, a high-dimensional pattern classification framework, based on functional associations between brain regions during resting-state, is proposed to accurately identify MCI individuals from subjects who experience normal aging. The proposed technique employs multi-spectrum networks to cha...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Wee, Chong-Yaw, Yap, Pew-Thian, Denny, Kevin, Browndyke, Jeffrey N., Potter, Guy G., Welsh-Bohmer, Kathleen A., Wang, Lihong, Shen, Dinggang
التنسيق: Artigo
اللغة:Inglês
منشور في: Public Library of Science 2012
الموضوعات:
Research Article
الوصول للمادة أونلاين:https://ncbi.nlm.nih.gov/pmc/articles/PMC3364275/
https://ncbi.nlm.nih.gov/pubmed/22666397
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0037828
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