Frontiers in Human Neuroscience (Oct 2019)

Abnormal Gray Matter Structural Covariance Networks in Children With Bilateral Cerebral Palsy

  • Heng Liu,
  • Heng Liu,
  • Heng Liu,
  • Haoxiang Jiang,
  • Haoxiang Jiang,
  • Wenchuan Bi,
  • Bingsheng Huang,
  • Bingsheng Huang,
  • Xianjun Li,
  • Miaomiao Wang,
  • Xiaoyu Wang,
  • Huifang Zhao,
  • Yannan Cheng,
  • Xingxing Tao,
  • Congcong Liu,
  • Ting Huang,
  • Chao Jin,
  • Tijiang Zhang,
  • Jian Yang,
  • Jian Yang

DOI
https://doi.org/10.3389/fnhum.2019.00343
Journal volume & issue
Vol. 13

Abstract

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Bilateral cerebral palsy (BCP) is a common movement disorder in children, which often results in lifelong motor disability. One main symptom of BCP is the limitation of hand function in everyday activities. However, the neuroanatomical basis of this prominent hand impairment is yet to discover. Recent advances mainly focus on the lesions of BCP, but the views on the atypical development of cortical parcellations are extremely lacking. Here, in our study, neuroimaging with network analysis was employed to evaluate the changes of structural covariance networks (SCNs) in BCP children. We aimed to elucidate the alteration of SCNs based on cortical thickness (CT), and to reveal the relationship of CT and hand function in the participants with BCP. SCNs were constructed using covariance between regional CT, which was acquired from T1-weighted images of 19 children with BCP and 19 demographically matched healthy controls (HCs). Compared with HCs, BCP children showed increased CT in several regions involving the bilateral areas (lateral occipital, lingual, and fusiform) and right areas (cuneus, pericalcarine, inferior temporal, middle temporal, superior temporal, and insula). Decreased CT was found in the left superior temporal and right superior parietal cortices. Global network analyses revealed significantly decreased normalized clustering and small-worldness in the BCP network. The area under the curve (AUC) of global network measures varied slightly between the BCP and HC networks. The resistance of the both SCNs to the target and random attack showed no significant difference. Also, the BCP foci (right superior temporal and subtemporal cortex) showed a significantly negative correlation between the CT and manual ability. In this work, we identified the CT-based SCNs changes in children with BCP. The abnormal topological organization of SCNs was revealed, indicating abnormal CT, incongruous development of structural wiring, destructive nodal profiles of betweenness, and moved hub distribution in BCP children. This may provide a neuroanatomical hallmark of BCP in the developing brain. Therefore, our results may not only reflect neurodevelopmental aberrations but also compensatory mechanisms.

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