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Abstract #0591

Early Development of Modular Organization in Brain Functional Networks at Multiple Scales

Xuyun Wen1, Han Zhang2, Jun Zhang3, Gang Li2, Weili Lin2, and Dinggang Shen2

1Sun Yat-Sen University, Guangzhou, China, 2University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 3South China University of Technology, Guangzhou, China

Increasing studies focus on delineating the development of brain networks of infants by detecting the corresponding modular organization. However, in these papers, the adopted module detection method, i.e., maximizing modularity, has a resolution limit, such that modular structures could only be investigated at a particular scale. To address this issue, by leveraging a novel multi-resolution modularity detection method, we explored the development of modular organization of human brain functional networks in the first 2 postnatal years at multiple scales. Our results showed that, different scales can uncover different developmental patterns of brain networks from different perspectives.

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