Graph theory reveals dysconnected hubs in 22q11DS and altered nodal efficiency in patients with hallucinations.
Graph theory reveals dysconnected hubs in 22q11DS and altered nodal efficiency in patients with hallucinations.
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DOI：
10.3389/fnhum.2013.00402
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发表时间：
2013
影响因子：
2.9
通讯作者：
Eliez S
中科院分区：
文献类型：
--
作者：
Ottet MC;Schaer M;Debbané M;Cammoun L;Thiran JP;Eliez S
精神分裂症被认为是典型的失联障碍，幻觉是其核心症状。由于研究方法和临床表型的高度异质性，目前尚不清楚结构性脑连接障碍是全局性的还是局灶性的，以及临床症状是否由这种连接障碍引起。在目前的工作中，我们试图通过研究一个被认为是精神分裂症同质遗传亚型的群体，即22q11.2缺失综合征（22q11.2 ds）来澄清这个问题。对46例患者和48例年龄和性别匹配的对照组（年龄6-26岁，平均年龄分别为15.20±4.53岁和15.28±4.35岁）进行脑mri检查。使用连接组映射管道（connectomics.org）结合了结构和扩散MRI，我们为每个人创建了一个完整的大脑网络。图论用于量化每个参与者大脑网络组织的全局和局部属性。随着特征路径长度的增加，在患者网络中发现了6%的全球度损失。在识别和比较中心后，发现58%的中心患者的中心度明显下降。基于艾伦的幻觉脑网络模型，我们探索了局部效率和症状严重程度之间的关系。布罗卡区（p < 0.004）和韦尼克区（p < 0.023）呈负相关，背外侧前额叶皮层（DLPFC）呈正相关（p < 0.014）。与精神分裂症中连接障碍的发现一致，我们的结果为具有精神分裂症遗传风险的个体的大脑网络中心组织的靶向改变提供了初步证据。研究语言、言语和思维调节网络中具有相似网络特性的特定紊乱可能有助于理解它们在幻觉机制中的作用。
Schizophrenia is postulated to be the prototypical dysconnection disorder, in which hallucinations are the core symptom. Due to high heterogeneity in methodology across studies and the clinical phenotype, it remains unclear whether the structural brain dysconnection is global or focal and if clinical symptoms result from this dysconnection. In the present work, we attempt to clarify this issue by studying a population considered as a homogeneous genetic sub-type of schizophrenia, namely the 22q11.2 deletion syndrome (22q11.2DS). Cerebral MRIs were acquired for 46 patients and 48 age and gender matched controls (aged 6–26, respectively mean age = 15.20 ± 4.53 and 15.28 ± 4.35 years old). Using the Connectome mapper pipeline (connectomics.org) that combines structural and diffusion MRI, we created a whole brain network for each individual. Graph theory was used to quantify the global and local properties of the brain network organization for each participant. A global degree loss of 6% was found in patients' networks along with an increased Characteristic Path Length. After identifying and comparing hubs, a significant loss of degree in patients' hubs was found in 58% of the hubs. Based on Allen's brain network model for hallucinations, we explored the association between local efficiency and symptom severity. Negative correlations were found in the Broca's area (p < 0.004), the Wernicke area (p < 0.023) and a positive correlation was found in the dorsolateral prefrontal cortex (DLPFC) (p < 0.014). In line with the dysconnection findings in schizophrenia, our results provide preliminary evidence for a targeted alteration in the brain network hubs' organization in individuals with a genetic risk for schizophrenia. The study of specific disorganization in language, speech and thought regulation networks sharing similar network properties may help to understand their role in the hallucination mechanism.
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DOI：
10.1523/jneurosci.1929-08.2008
发表时间：
2008-09-10
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Bassett DS;Bullmore E;Verchinski BA;Mattay VS;Weinberger DR;Meyer-Lindenberg A
通讯作者：
Meyer-Lindenberg A
影响因子：
5.7
作者：
Fischl, B;Sereno, MI;Dale, AM
通讯作者：
Dale, AM
影响因子：
3.7
作者：
Humphries MD;Gurney K
通讯作者：
Gurney K
影响因子：
34.7
作者：
Alexander-Bloch, Aaron;Giedd, Jay N.;Bullmore, Edward T.
通讯作者：
Bullmore, Edward T.
影响因子：
19.9
作者：
Bassett, Danielle S.;Gazzaniga, Michael S.
通讯作者：
Gazzaniga, Michael S.