Two Neuroanatomical Signatures in Schizophrenia: Expression Strengths Over the First 2 Years of Treatment and Their Relationships to Neurodevelopmental Compromise and Antipsychotic Treatment.
Two Neuroanatomical Signatures in Schizophrenia: Expression Strengths Over the First 2 Years of Treatment and Their Relationships to Neurodevelopmental Compromise and Antipsychotic Treatment.
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DOI：
10.1093/schbul/sbad040
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发表时间：
2023-07-04
影响因子：
6.6
通讯作者：
Emsley, Robin
中科院分区：
文献类型：
--
作者：
du Plessis, Stefan;Chand, Ganesh B.;Erus, Guray;Phahladira, Lebogang;Luckhoff, Hilmar K.;Smit, Retha;Asmal, Laila;Wolf, Daniel H.;Davatzikos, Christos;Emsley, Robin
最近描述了两种机器学习衍生的神经解剖特征。信号1与广泛的灰质体积减少相关，信号2与较大的基底神经节和内囊体积相关。我们假设它们分别代表精神分裂症的神经发育和治疗反应成分。我们评估了这些特征的表达强度轨迹，并评估了它们与神经发育损害指标的关系，以及与83名既往接受过最低限度治疗的精神分裂症谱系障碍首次发作患者的抗精神病药物治疗效果的关系，这些患者接受了标准化治疗，并在24个月内进行了全面的临床、认知和神经影像学评估。纳入96例匹配的健康病例对照。线性混合效应重复测量模型表明，患者比对照组具有更强的签名1表达，其随时间保持稳定，并且与治疗无关。较强的签名1表达显示出与较低的教育程度，较差的感觉统合，以及较差的工作记忆，言语学习和推理和解决问题的认知表现的趋势关联。最引人注目的发现是，在基线时，患者和对照组的信号2表达相似，但在患者中随着治疗而显著增加。签名2表达的增加与PANSS总评分的降低和BMI的增加相关，而与神经发育指数无关。这些发现为代表精神分裂症的神经发育和治疗反应成分的两种不同的神经解剖特征提供了支持证据。
Two machine learning derived neuroanatomical signatures were recently described. Signature 1 is associated with widespread grey matter volume reductions and signature 2 with larger basal ganglia and internal capsule volumes. We hypothesized that they represent the neurodevelopmental and treatment-responsive components of schizophrenia respectively. We assessed the expression strength trajectories of these signatures and evaluated their relationships with indicators of neurodevelopmental compromise and with antipsychotic treatment effects in 83 previously minimally treated individuals with a first episode of a schizophrenia spectrum disorder who received standardized treatment and underwent comprehensive clinical, cognitive and neuroimaging assessments over 24 months. Ninety-six matched healthy case–controls were included. Linear mixed effect repeated measures models indicated that the patients had stronger expression of signature 1 than controls that remained stable over time and was not related to treatment. Stronger signature 1 expression showed trend associations with lower educational attainment, poorer sensory integration, and worse cognitive performance for working memory, verbal learning and reasoning and problem solving. The most striking finding was that signature 2 expression was similar for patients and controls at baseline but increased significantly with treatment in the patients. Greater increase in signature 2 expression was associated with larger reductions in PANSS total score and increases in BMI and not associated with neurodevelopmental indices. These findings provide supporting evidence for two distinct neuroanatomical signatures representing the neurodevelopmental and treatment-responsive components of schizophrenia.
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影响因子：
11.3
作者：
Homman, L. E.;Smart, S. E.;MacCabe, J. H.
通讯作者：
MacCabe, J. H.
影响因子：
14.5
作者：
Chand, Ganesh B.;Dwyer, Dominic B.;Davatzikos, Christos
通讯作者：
Davatzikos, Christos
影响因子：
5.7
作者：
Genovese, CR;Lazar, NA;Nichols, T
通讯作者：
Nichols, T
影响因子：
5.7
作者：
Doshi J;Erus G;Ou Y;Resnick SM;Gur RC;Gur RE;Satterthwaite TD;Furth S;Davatzikos C;Alzheimer's Neuroimaging Initiative
通讯作者：
Alzheimer's Neuroimaging Initiative
影响因子：
4.8
作者：
Bernstein, DP;Stein, JA;Zule, W
通讯作者：
Zule, W