Alterations in white matter network dynamics in patients with schizophrenia and bipolar disorder

Bin Wang, Shanshan Zhang, Xuexue Yu, Yan Niu, Jinliang Niu, Dandan Li, Shan Zhang, Jie Xiang, Ting Yan, Jiajia Yang, Jinglong Wu, Miaomiao Liu

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Emerging evidence suggests white matter network abnormalities in patients with schizophrenia (SZ) and bipolar disorder (BD), but the alterations in dynamics of the white matter network in patients with SZ and BD are largely unknown. The white matter network of patients with SZ (n = 45) and BD (n = 47) and that of healthy controls (HC, n = 105) were constructed. We used dynamics network control theory to quantify the dynamics metrics of the network, including controllability and synchronizability, to measure the ability to transfer between different states. Experiments show that the patients with SZ and BD showed decreasing modal controllability and synchronizability and increasing average controllability. The correlations between the average controllability and synchronizability of patients were broken, especially for those with SZ. The patients also showed alterations in brain regions with supercontroller roles and their distribution in the cognitive system. Finally, we were able to accurately discriminate and predict patients with SZ and BD. Our findings provide novel dynamic metrics evidence that patients with SZ and BD are characterized by a selective disruption of brain network controllability, potentially leading to reduced brain state transfer capacity, and offer new guidance for the clinical diagnosis of mental illness.

Original languageEnglish
Pages (from-to)3909-3922
Number of pages14
JournalHuman Brain Mapping
Volume43
Issue number13
DOIs
Publication statusPublished - Sept 2022

Keywords

  • classification
  • control strategy
  • controllability
  • supercontroller
  • synchronizability
  • tradeoff

ASJC Scopus subject areas

  • Anatomy
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology

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