Department of Biomedical Laboratory and Imaging Science, University of Debrecen Medical and Health Science Center, Debrecen, Hungary.
PLoS One. 2013 Apr 5;8(4):e60982. doi: 10.1371/journal.pone.0060982. Print 2013.
Attempts to explicate the neural abnormalities behind autism spectrum disorders frequently revealed impaired brain connectivity, yet our knowledge is limited about the alterations linked with autistic traits in the non-clinical population. In our study, we aimed at exploring the neural correlates of dimensional autistic traits using a dual approach of diffusion tensor imaging (DTI) and graph theoretical analysis of resting state functional MRI data. Subjects were sampled from a public neuroimaging dataset of healthy volunteers. Inclusion criteria were adult age (age: 18-65), availability of DTI and resting state functional acquisitions and psychological evaluation including the Social Responsiveness Scale (SRS) and Autistic Spectrum Screening Questionnaire (ASSQ). The final subject cohort consisted of 127 neurotypicals. Global brain network structure was described by graph theoretical parameters: global and average local efficiency. Regional topology was characterized by degree and efficiency. We provided measurements for diffusion anisotropy. The association between autistic traits and the neuroimaging findings was studied using a general linear model analysis, controlling for the effects of age, gender and IQ profile. Significant negative correlation was found between the degree and efficiency of the right posterior cingulate cortex and autistic traits, measured by the combination of ASSQ and SRS scores. Autistic phenotype was associated with the decrease of whole-brain local efficiency. Reduction of diffusion anisotropy was found bilaterally in the temporal fusiform and parahippocampal gyri. Numerous models describe the autistic brain connectome to be dominated by reduced long-range connections and excessive short-range fibers. Our finding of decreased efficiency supports this hypothesis although the only prominent effect was seen in the posterior limbic lobe, which is known to act as a connector hub. The neural correlates of the autistic trait in neurotypicals showed only limited similarities to the reported findings in clinical populations with low functioning autism.
试图阐明自闭症谱系障碍背后的神经异常,经常发现大脑连接受损,但我们对非临床人群中与自闭症特征相关的改变知之甚少。在我们的研究中,我们旨在使用弥散张量成像(DTI)和静息态功能磁共振成像数据的图论分析的双重方法来探索维度自闭症特征的神经相关性。研究对象从健康志愿者的公共神经影像学数据集进行抽样。纳入标准为成年年龄(年龄:18-65 岁)、有 DTI 和静息态功能采集以及心理评估,包括社会反应量表(SRS)和自闭症谱系筛查问卷(ASSQ)。最终的研究对象队列包括 127 名神经型个体。全局脑网络结构通过图论参数描述:全局和平均局部效率。区域拓扑由度和效率来描述。我们提供了扩散各向异性的测量值。使用一般线性模型分析研究自闭症特征与神经影像学发现之间的关联,同时控制年龄、性别和 IQ 特征的影响。ASSQ 和 SRS 评分组合测量的自闭症特征与右侧后扣带回的度和效率呈显著负相关。自闭症表型与全脑局部效率的降低有关。在颞叶梭状回和海马旁回的双侧发现扩散各向异性降低。有许多模型描述自闭症大脑连接体以减少长程连接和增加短程纤维为主。我们发现效率降低支持了这一假设,尽管仅在后边缘叶看到了明显的影响,而该叶已知作为连接枢纽。神经型个体自闭症特征的神经相关性与报道的低功能自闭症临床人群的发现仅有有限的相似性。