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寻找精神分裂症认知缺陷的多模态神经影像生物标志物。

In search of multimodal neuroimaging biomarkers of cognitive deficits in schizophrenia.

作者信息

Sui Jing, Pearlson Godfrey D, Du Yuhui, Yu Qingbao, Jones Thomas R, Chen Jiayu, Jiang Tianzi, Bustillo Juan, Calhoun Vince D

机构信息

The Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, New Mexico; Brainnetome Center and National Laboratory of Pattern Recognition (JS, TJ), Institute of Automation, Chinese Academy of Sciences, Beijing, China.

Olin Neuropsychiatry Research Center, Hartford; Department of Psychiatry, Yale University, New Haven, Connecticut; Department of Neurobiology, Yale University, New Haven, Connecticut.

出版信息

Biol Psychiatry. 2015 Dec 1;78(11):794-804. doi: 10.1016/j.biopsych.2015.02.017. Epub 2015 Feb 24.

Abstract

BACKGROUND

The cognitive deficits of schizophrenia are largely resistant to current treatments and thus are a lifelong illness burden. The Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB) provides a reliable and valid assessment of cognition across major cognitive domains; however, the multimodal brain alterations specifically associated with MCCB in schizophrenia have not been examined.

METHODS

The interrelationships between MCCB and the abnormalities seen in three types of neuroimaging-derived maps-fractional amplitude of low-frequency fluctuations (fALFF) from resting-state functional magnetic resonance imaging (MRI), gray matter (GM) density from structural MRI, and fractional anisotropy from diffusion MRI-were investigated by using multiset canonical correlation analysis in data from 47 schizophrenia patients treated with antipsychotic medications and 50 age-matched healthy control subjects.

RESULTS

One multimodal component (canonical variant 8) was identified as both group differentiating and significantly correlated with the MCCB composite. It demonstrated 1) increased cognitive performance associated with higher fALFF (intensity of regional spontaneous brain activity) and higher GM volumes in thalamus, striatum, hippocampus, and the mid-occipital region, with co-occurring fractional anisotropy changes in superior longitudinal fascicules, anterior thalamic radiation, and forceps major; 2) higher fALFF but lower GM volume in dorsolateral prefrontal cortex related to worse cognition in schizophrenia; and 3) distinct domains of MCCB might exhibit dissociable multimodal signatures, e.g., increased fALFF in inferior parietal lobule particularly correlated with decreased social cognition. Medication dose did not relate to these findings in schizophrenia.

CONCLUSIONS

Our results suggest linked functional and structural deficits in distributed cortico-striato-thalamic circuits may be closely related to MCCB-measured cognitive impairments in schizophrenia.

摘要

背景

精神分裂症的认知缺陷在很大程度上对当前治疗有抵抗性,因此是一种终身的疾病负担。精神分裂症认知改善测量与治疗研究(MATRICS)共识认知成套测验(MCCB)为跨主要认知领域的认知提供了可靠且有效的评估;然而,精神分裂症中与MCCB具体相关的多模态脑改变尚未得到研究。

方法

通过对47例接受抗精神病药物治疗的精神分裂症患者和50例年龄匹配的健康对照者的数据进行多集典型相关分析,研究了MCCB与三种神经影像学衍生图谱中所见异常之间的相互关系,这三种图谱分别是静息态功能磁共振成像(MRI)的低频波动分数振幅(fALFF)、结构MRI的灰质(GM)密度以及扩散MRI的分数各向异性。

结果

确定了一个多模态成分(典型变量8),它既能区分组间差异,又与MCCB综合得分显著相关。它表明:1)认知表现的提高与丘脑、纹状体、海马体和枕叶中部区域较高的fALFF(区域自发脑活动强度)以及较高的GM体积相关,同时上纵束、丘脑前辐射和主要钳状束的分数各向异性也发生改变;2)背外侧前额叶皮质中较高的fALFF但较低的GM体积与精神分裂症中较差的认知相关;3)MCCB的不同领域可能表现出可分离的多模态特征,例如下顶叶小叶中fALFF的增加与社会认知的下降特别相关。药物剂量与精神分裂症的这些发现无关。

结论

我们的结果表明,分布于皮质 - 纹状体 - 丘脑回路中的功能和结构缺陷可能与精神分裂症中MCCB测量的认知障碍密切相关。

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