Abnormal Connectional Fingerprint in Schizophrenia: A Novel Network Analysis of Diffusion Tensor Imaging Data.
Abnormal Connectional Fingerprint in Schizophrenia: A Novel Network Analysis of Diffusion Tensor Imaging Data.
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DOI：
10.3389/fpsyt.2016.00114
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发表时间：
2016
影响因子：
4.7
通讯作者：
Uhlhaas PJ
中科院分区：
文献类型：
--
作者：
Edwin Thanarajah S;Han CE;Rotarska-Jagiela A;Singer W;Deichmann R;Maurer K;Kaiser M;Uhlhaas PJ
近年来，结构磁共振成像（MRI）数据的图论分析已经收到了很大的兴趣，以表征大脑网络的组织原理及其在精神疾病（如精神分裂症）中的变化。然而，临床人群中网络的表征可能具有挑战性，因为组间连接性的比较受到几个因素的影响，例如连接的总数和种子区域的结构异常。为了克服这些局限性，目前的研究采用了全脑分析的连接指纹的扩散张量成像数据在3 T的慢性精神分裂症患者（n = 16）和健康，年龄匹配的对照参与者（n = 17）。进行概率神经纤维束成像以量化110个脑区的连接。大脑区域的连接指纹代表了所有目标区域的相对连接概率集，因此，与绝对连接测量相比，受整体白色和灰质变化的影响较小。在通过相似性度量检测出具有异常连接指纹的大脑区域后，我们测试了每个区域在组间的相对连接概率。我们发现精神分裂症患者的连接指纹改变与连接障碍综合征一致。而内侧额回只显示出减少的连接，连接指纹的额下回和壳核主要包含相对增加的连接概率，在额叶，边缘系统和皮层下区域。这些发现与先前报道精神分裂症病理生理学中纹状体-额叶回路异常的研究一致，突出了连接指纹在分析该疾病解剖网络中的潜在效用。
The graph theoretical analysis of structural magnetic resonance imaging (MRI) data has received a great deal of interest in recent years to characterize the organizational principles of brain networks and their alterations in psychiatric disorders, such as schizophrenia. However, the characterization of networks in clinical populations can be challenging, since the comparison of connectivity between groups is influenced by several factors, such as the overall number of connections and the structural abnormalities of the seed regions. To overcome these limitations, the current study employed the whole-brain analysis of connectional fingerprints in diffusion tensor imaging data obtained at 3 T of chronic schizophrenia patients (n = 16) and healthy, age-matched control participants (n = 17). Probabilistic tractography was performed to quantify the connectivity of 110 brain areas. The connectional fingerprint of a brain area represents the set of relative connection probabilities to all its target areas and is, hence, less affected by overall white and gray matter changes than absolute connectivity measures. After detecting brain regions with abnormal connectional fingerprints through similarity measures, we tested each of its relative connection probability between groups. We found altered connectional fingerprints in schizophrenia patients consistent with a dysconnectivity syndrome. While the medial frontal gyrus showed only reduced connectivity, the connectional fingerprints of the inferior frontal gyrus and the putamen mainly contained relatively increased connection probabilities to areas in the frontal, limbic, and subcortical areas. These findings are in line with previous studies that reported abnormalities in striatal–frontal circuits in the pathophysiology of schizophrenia, highlighting the potential utility of connectional fingerprints for the analysis of anatomical networks in the disorder.