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Resolving heterogeneity in depression using individualized structural covariance network analysis.

Shaoqiang HanRuiping ZhengShuying LiBingqian ZhouYu JiangKeke FangYarui WeiJianyue PangHengfen LiYong ZhangYuan ChenJingliang Cheng
Published in: Psychological medicine (2022)
In conclusion, we investigated individualized differential structural covariance and identified that decreased edges within subcortical-cerebellum network are often shared by patients with depression. The identified two subtypes provide new insights into taxonomy and facilitate potential clues to precision diagnosis and treatment of depression.
Keyphrases
  • network analysis
  • depressive symptoms
  • sleep quality
  • single cell
  • white matter
  • risk assessment
  • human health