Neuroanatomical correlates of cognitive functioning in prodromal Huntington disease.
Neuroanatomical correlates of cognitive functioning in prodromal Huntington disease.
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DOI：
10.1002/brb3.185
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发表时间：
2014-01
影响因子：
3.1
通讯作者：
Paulsen, Jane S.
中科院分区：
文献类型：
--
作者：
Harrington, Deborah L.;Liu, Dawei;Smith, Megan M.;Mills, James A.;Long, Jeffrey D.;Aylward, Elizabeth H.;Paulsen, Jane S.
前驱期亨廷顿病（prHD）认知功能障碍的脑机制尚未完全了解。虽然纹状体萎缩与一些认知能力，很少有研究prHD的皮质灰质形态学相关的区域特定的方式与功能在不同的认知领域。这些知识将为临床试验选择对治疗干预目标最敏感的认知指标提供信息。在这项研究中，随机森林分析被用来确定在五个认知领域，包括注意力和信息处理速度，工作记忆，言语学习和记忆，负面情绪识别，和时间处理功能的神经解剖学相关性。参与者包括325名具有不同程度疾病进展的prHD个体和119名具有HD家族史的基因阴性对照。在中期分析中，我们确定了大脑区域，显示出显着差异的prHD和对照组之间的皮质厚度和纹状体体积。然后使用随机森林方法将这些区域的脑形态测量与prHD组中每个领域的认知功能相关联。我们假设，不同的区域模式的脑形态测量将与性能在不同的认知领域。结果表明，在不同的认知领域，容易下降的prHD的性能与区域特定的模式的皮质和纹状体形态。壳核和/或尾状核体积在所有认知领域的性能排名第一的相关性，因为是皮层厚度在各领域的处理需求相关的区域。结果强调了识别不同认知领域功能的结构磁共振成像（sMRI）标记的重要性，因为它们的相对敏感性取决于不同大脑网络调用处理的程度。这些发现对确定用于临床试验的神经影像学和认知结果测量具有意义。
The brain mechanisms of cognitive impairment in prodromal Huntington disease (prHD) are not well understood. Although striatal atrophy correlates with some cognitive abilities, few studies of prHD have investigated whether cortical gray matter morphometry correlates in a regionally specific manner with functioning in different cognitive domains. This knowledge would inform the selection of cognitive measures for clinical trials that would be most sensitive to the target of a treatment intervention. In this study, random forest analysis was used to identify neuroanatomical correlates of functioning in five cognitive domains including attention and information processing speed, working memory, verbal learning and memory, negative emotion recognition, and temporal processing. Participants included 325 prHD individuals with varying levels of disease progression and 119 gene-negative controls with a family history of HD. In intermediate analyses, we identified brain regions that showed significant differences between the prHD and the control groups in cortical thickness and striatal volume. Brain morphometry in these regions was then correlated with cognitive functioning in each of the domains in the prHD group using random forest methods. We hypothesized that different regional patterns of brain morphometry would be associated with performances in distinct cognitive domains. The results showed that performances in different cognitive domains that are vulnerable to decline in prHD were correlated with regionally specific patterns of cortical and striatal morphometry. Putamen and/or caudate volumes were top-ranked correlates of performance across all cognitive domains, as was cortical thickness in regions related to the processing demands of each domain. The results underscore the importance of identifying structural magnetic resonance imaging (sMRI) markers of functioning in different cognitive domains, as their relative sensitivity depends on the extent to which processing is called upon by different brain networks. The findings have implications for identifying neuroimaging and cognitive outcome measures for use in clinical trials.
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影响因子：
5.7
作者：
Jovicich J;Czanner S;Han X;Salat D;van der Kouwe A;Quinn B;Pacheco J;Albert M;Killiany R;Blacker D;Maguire P;Rosas D;Makris N;Gollub R;Dale A;Dickerson BC;Fischl B
通讯作者：
Fischl B
DOI：
10.1093/brain/awp123
发表时间：
2009-08
期刊：
Brain : a journal of neurology
影响因子：
--
作者：
Desikan RS;Cabral HJ;Hess CP;Dillon WP;Glastonbury CM;Weiner MW;Schmansky NJ;Greve DN;Salat DH;Buckner RL;Fischl B;Alzheimer's Disease Neuroimaging Initiative
通讯作者：
Alzheimer's Disease Neuroimaging Initiative
影响因子：
9.9
作者：
Duff, K.;Paulsen, J.;Harrington, D. L.
通讯作者：
Harrington, D. L.
影响因子：
5.1
作者：
Genuer, Robin;Poggi, Jean-Michel;Tuleau-Malot, Christine
通讯作者：
Tuleau-Malot, Christine
影响因子：
3.2
作者：
Magnotta, Vincent A.;Kim, Jinsuh;Paulsen, Jane S.
通讯作者：
Paulsen, Jane S.