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摘要:
Identifying data-driven biotypes of major depressive disorder (MDD) has promise for the clarification of diagnostic heterogeneity.However,few studies have focused on white-matter abnormalities for MDD subtyping.This study included 116 patients with MDD and 118 demographically-matched healthy controls assessed by diffusion tensor imaging and neurocognitive evaluation.Hierarchical clustering was applied to the major fiber tracts,in conjunction with tract-based spatial statistics,to reveal white-matter alterations associated with MDD.Clinical and neurocognitive differences were compared between identified subgroups and healthy controls.With fractional anisotropy extracted from 20 fiber tracts,cluster analysis revealed 3 subgroups based on the patterns of abnormalities.Patients in each subgroup versus healthy controls showed a stepwise pattern of white-matter alterations as follows:subgroup 1 (25.9% of patient sample),widespread white-matter disruption;subgroup 2 (43.1% of patient sample),intermediate and more localized abnormalities in aspects of the corpus callosum and left cingulate;and subgroup 3 (31.0% of patient sample),possible mild alterations,but no statistically significant tract disruption after controlling for family-wise error.The neurocognitive impairment in each subgroup accompanied the white-matter alterations:subgroup 1,deficits in sustained attention and delayed memory;subgroup 2,dysfunction in delayed memory;and subgroup 3,no significant deficits.Three subtypes of white-matter abnormality exist in individuals with major depression,those having widespread abnormalities suffering more neurocognitive impairments,which may provide evidence for parsing the heterogeneity of the disorder and help optimize typespecific treatment approaches.
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篇名 White Matter Abnormalities in Major Depression Biotypes Identified by Diffusion Tensor Imaging
来源期刊 神经科学通报(英文版) 学科
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年,卷(期) 2019,(5) 所属期刊栏目
研究方向 页码范围 867-876
页数 10页 分类号
字数 语种 英文
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参考文献  (38)
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期刊影响力
神经科学通报(英文版)
双月刊
1673-7067
31-1975/R
16开
上海市岳阳路319号31B楼405室
4-608
1985
eng
出版文献量(篇)
2003
总下载数(次)
1
总被引数(次)
9688
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