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Small-world indices via network efficiency for brain networks from diffusion MRI.
Lin, Lan; Fu, Zhenrong; Jin, Cong; Tian, Miao; Wu, Shuicai.
Afiliação
  • Lin L; Biomedical Research Center, College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China. lanlin@bjut.edu.cn.
  • Fu Z; Biomedical Research Center, College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China.
  • Jin C; Medical Engineering Department, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
  • Tian M; Biomedical Research Center, College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China.
  • Wu S; Biomedical Research Center, College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China.
Exp Brain Res ; 236(10): 2677-2689, 2018 Oct.
Article em En | MEDLINE | ID: mdl-29980823
The small-world architecture has gained considerable attention in anatomical brain connectivity studies. However, how to adequately quantify small-worldness in diffusion networks has remained a problem. We addressed the limits of small-world measures and defined new metric indices: the small-world efficiency (SWE) and the small-world angle (SWA), both based on the tradeoff between high global and local efficiency. To confirm the validity of the new indices, we examined the behavior of SWE and SWA of networks based on the Watts-Strogatz model as well as the diffusion tensor imaging (DTI) data from 75 healthy old subjects (aged 50-70). We found that SWE could classify the subjects into different age groups, and was correlated with individual performance on the WAIS-IV test. Moreover, to evaluate the sensitivity of the proposed measures to network, two network attack strategies were applied. Our results indicate that the new indices outperform their predecessors in the analysis of DTI data.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Mapeamento Encefálico / Imagem de Tensor de Difusão / Modelos Neurológicos / Vias Neurais Tipo de estudo: Prognostic_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Exp Brain Res Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Mapeamento Encefálico / Imagem de Tensor de Difusão / Modelos Neurológicos / Vias Neurais Tipo de estudo: Prognostic_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Exp Brain Res Ano de publicação: 2018 Tipo de documento: Article