Altered structural connectivity in neonates at genetic risk for schizophrenia: A combined study using morphological and white matter networks

Feng Shi, Pew Thian Yap, Wei Gao, Weili Lin, John H. Gilmore, Dinggang Shen

Research output: Contribution to journalArticlepeer-review

106 Citations (Scopus)


Recently, an increasing body of evidence suggests that developmental abnormalities related to schizophrenia may occur as early as the neonatal stage. Impairments of brain gray matter and wiring problems of axonal fibers are commonly suspected to be responsible for the disconnection hypothesis in schizophrenia adults, but significantly less is known in neonates. In this study, we investigated 26 neonates who were at genetic risk for schizophrenia and 26 demographically matched healthy neonates using both morphological and white matter networks to examine possible brain connectivity abnormalities. The results showed that both populations exhibited small-world network topology. Morphological network analysis indicated that the brain structural associations of the high-risk neonates tended to have globally lower efficiency, longer connection distance, and less number of hub nodes and edges with relatively higher betweenness. Subgroup analysis showed that male neonates were significantly disease-affected, while the female neonates were not. White matter network analysis, however, showed that the fiber networks were globally unaffected, although several subcortical-cortical connections had significantly less number of fibers in high-risk neonates. This study provides new lines of evidence in support of the disconnection hypothesis, reinforcing the notion that the genetic risk of schizophrenia induces alterations in both gray matter structural associations and white matter connectivity.

Original languageEnglish
Pages (from-to)1622-1633
Number of pages12
Issue number3
Publication statusPublished - 2012 Sept

Bibliographical note

Funding Information:
This work was supported in part by NIH grants EB006733 , EB008760 , EB008374 , EB009634 , MH088520 , MH070890 , MH064065 , NS055754 , and HD053000 .


  • Brain evelopment
  • Diffusion tensor imaging
  • High genetic risk
  • Network analysis
  • Newborn infant
  • Schizophrenia

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience


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