Comparison of regional brain deficit patterns in common psychiatric and neurological disorders as revealed by big data.

Comparison of regional brain deficit patterns in common psychiatric and neurological disorders as revealed by big data.
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DOI:
10.1016/j.nicl.2021.102574
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发表时间:
2021
期刊:
NeuroImage. Clinical
影响因子:
--
通讯作者:
Hong LE
Hong LE
中科院分区:
其他
文献类型:
--
作者:
Kochunov P;Ryan MC;Yang Q;Hatch KS;Zhu A;Thomopoulos SI;Jahanshad N;Schmaal L;Thompson PM;Chen S;Du X;Adhikari BM;Bruce H;Hare S;Goldwaser EL;Kvarta MD;Nichols TE;Hong LE

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MDD和AD的RVI基于大型荟萃分析结果得出。RVI-MDD和AD在患有相应疾病的UKBB受试者中显著升高。AD受试者的RVI-MDD或MDD受试者的RVI-AD均未升高。RVI捕获神经解剖学偏离模式。RVI是评估神经精神疾病相似性的有用生物标志物。神经和精神疾病与区域性脑缺陷模式相关,这些模式具有独特的签名并捕获疾病的特定特征。区域脆弱性指数(RVI)是通过比较个体白色物质微观结构、皮质灰质厚度和皮质下灰质结构体积测量值与来自大规模荟萃分析研究的神经解剖学缺陷模式来量化大脑相似性的。我们在英国生物样本库(UKBB)参与者的大型流行病学样本(N = 19,393; 9138 M/10,255 F;年龄= 64.8 ± 7.4岁)中测试了RVI方法对重度抑郁症(MDD)和阿尔茨海默病(AD)的特异性。与无神经精神疾病的对照组相比,MDD受试者(N = 2,248; 805例男性/1443例女性;年龄= 63.4 ± 7.4)的RVI-MDD值显著更高(t = 5.6,p = 1.10 −8),但RVI-AD没有检测到差异(t = 2.0,p = 0.10)。与对照组相比,痴呆受试者(N = 7; 4 M/3 F;年龄= 68.6 ± 8.6岁)的RVI-AD(t = 4.2,p = 3.10 −5)显著升高,但RVI-MDD(t = 2.1,p = 0.10)未显著升高。即使在情感性疾病中,双相情感障碍(N = 54)和焦虑症(N = 773)的参与者也没有表现出全脑RVI-MDD的显著升高。帕金森病患者(N = 37)显示RVI-AD升高(t = 2.4,p = 0.01),而中风患者(N = 247)未显示此类升高(t = 1.1,p = 0.3)。总之,我们证明了RVI-MDD和RVI-AD指标在各自疾病中的升高,具有较强的可重复性,这对各自的诊断相对特异。这些神经解剖学偏离模式为神经精神疾病相似性的人群评估提供了有用的生物标志物。
RVI for MDD and AD was derived based on large meta-analytical findings. RVI-MDD and AD were significantly elevated in UKBB subjects with respective illnesses. There was no elevation of RVI-MDD in subjects with AD or RVI-AD in subjects with MDD. RVI captures neuroanatomic deviation patterns. RVI is a useful biomarker for assessing similarity to neuropsychiatric illnesses. Neurological and psychiatric illnesses are associated with regional brain deficit patterns that bear unique signatures and capture illness-specific characteristics. The Regional Vulnerability Index (RVI) was developed to quantify brain similarity by comparing individual white matter microstructure, cortical gray matter thickness and subcortical gray matter structural volume measures with neuroanatomical deficit patterns derived from large-scale meta-analytic studies. We tested the specificity of the RVI approach for major depressive disorder (MDD) and Alzheimer’s disease (AD) in a large epidemiological sample of UK Biobank (UKBB) participants (N = 19,393; 9138 M/10,255F; age = 64.8 ± 7.4 years). Compared to controls free of neuropsychiatric disorders, participants with MDD (N = 2,248; 805 M/1443F; age = 63.4 ± 7.4) had significantly higher RVI-MDD values (t = 5.6, p = 1·10−8), but showed no detectable difference in RVI-AD (t = 2.0, p = 0.10). Subjects with dementia (N = 7; 4 M/3F; age = 68.6 ± 8.6 years) showed significant elevation in RVI-AD (t = 4.2, p = 3·10−5) but not RVI-MDD (t = 2.1, p = 0.10) compared to controls. Even within affective illnesses, participants with bipolar disorder (N = 54) and anxiety disorder (N = 773) showed no significant elevation in whole-brain RVI-MDD. Participants with Parkinson’s disease (N = 37) showed elevation in RVI-AD (t = 2.4, p = 0.01) while subjects with stroke (N = 247) showed no such elevation (t = 1.1, p = 0.3). In summary, we demonstrated elevation in RVI-MDD and RVI-AD measures in the respective illnesses with strong replicability that is relatively specific to the respective diagnoses. These neuroanatomic deviation patterns offer a useful biomarker for population-wide assessments of similarity to neuropsychiatric illnesses.
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