A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy
| Autor: | Dinggang Shen, Tae-Eui Kam, Zhengwang Wu, Li Wang, Bing Jin, Mayssa Soussia, Zhen Zhou, Weili Lin, Islem Rekik, Gang Li, Han Zhang, Xuyun Wen, Li-Ming Hsu |
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| Rok vydání: | 2020 |
| Předmět: |
Dissociation (neuropsychology)
Brain development Computer science Functional connectivity 05 social sciences Cognition Early infancy Article 050105 experimental psychology Dissociation (psychology) 03 medical and health sciences Functional brain Brain region 0302 clinical medicine medicine 0501 psychology and cognitive sciences medicine.symptom 030217 neurology & neurosurgery Cognitive psychology |
| Zdroj: | Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597276 MICCAI (7) Med Image Comput Comput Assist Interv |
| Popis: | Functional brain development in early infancy is a highly dynamic and complex process. Understanding each brain region’s topological role and its development in the brain functional connectivity (FC) networks is essential for early disorder detection. A handful of previous studies have mostly focused on how FC network is changing regarding age. These approaches inevitably overlook the effect of individual variability for those at the same age that could shape unique cognitive capabilities and personalities among infants. With that in mind, we propose a novel computational framework based on across-subject across-age multilayer network analysis with a fully automatic (for parameter optimization), robust community detection algorithm. By detecting group consistent modules without losing individual information, this method allows a first-ever dissociation analysis of the two variability sources – age dependency and individual specificity – that greatly shape early brain development. This method is applied to a large cohort of 0–2 years old infants’ functional MRI data during natural sleep. We not only detected the brain regions with greatest flexibility in this early developmental period but also identified five categories of brain regions with distinct development-related and individually variable flexibility changes. Our method is highly valuable for more thorough understanding of the early brain functional organizations and sheds light on early developmental abnormality detection. |
| Databáze: | OpenAIRE |
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