Synchrony between sensory and cognitive networks is associated with subclinical variation in autistic traits.
Synchrony between sensory and cognitive networks is associated with subclinical variation in autistic traits.
复制标题
DOI：
10.3389/fnhum.2015.00146
复制
发表时间：
2015
影响因子：
2.9
通讯作者：
Huettel SA
中科院分区：
文献类型：
--
作者：
Young JS;Smith DV;Coutlee CG;Huettel SA
自闭症谱系障碍患者表现出与注意力、社会和情感功能相关的独特人格特征，这些特征在神经型和亚临床人群中表现出不同的严重程度。自闭症特征的变异与功能和结构连接性的降低有关（即，连接不足或同步性降低）与由注意力、社交和情感功能调节的神经网络。然而，目前还不清楚这些神经网络之间的同步性是否会导致自闭症特征。为了研究这个问题，我们使用功能性磁共振成像来记录大脑激活，而自闭症谱系商（AQ）亚临床评分不同的神经型参与者观察交替的社会和非社会刺激块（即，面孔和风景的图像）。我们使用独立分量分析（伊卡）结合时空回归来量化神经网络之间的同步。我们的研究结果表明，执行控制网络（ECN）和面部场景网络（FSN）之间的同步性降低预测AQ得分较高。这种关系不能用头部运动、对面孔的偏好或与社会认知相关的个性变量的个体差异来解释。我们的研究结果建立在临床报告的基础上，证明不同神经网络之间的同步性降低有助于一系列亚临床自闭症特征。
Individuals with autistic spectrum disorders exhibit distinct personality traits linked to attentional, social, and affective functions, and those traits are expressed with varying levels of severity in the neurotypical and subclinical population. Variation in autistic traits has been linked to reduced functional and structural connectivity (i.e., underconnectivity, or reduced synchrony) with neural networks modulated by attentional, social, and affective functions. Yet, it remains unclear whether reduced synchrony between these neural networks contributes to autistic traits. To investigate this issue, we used functional magnetic resonance imaging to record brain activation while neurotypical participants who varied in their subclinical scores on the Autism-Spectrum Quotient (AQ) viewed alternating blocks of social and nonsocial stimuli (i.e., images of faces and of landscape scenes). We used independent component analysis (ICA) combined with a spatiotemporal regression to quantify synchrony between neural networks. Our results indicated that decreased synchrony between the executive control network (ECN) and a face-scene network (FSN) predicted higher scores on the AQ. This relationship was not explained by individual differences in head motion, preferences for faces, or personality variables related to social cognition. Our findings build on clinical reports by demonstrating that reduced synchrony between distinct neural networks contributes to a range of subclinical autistic traits.
登录
查看更多内容
影响因子：
5.7
作者：
Jenkinson, M;Bannister, P;Smith, S
通讯作者：
Smith, S
影响因子：
16.2
作者：
Adolphs, Ralph
通讯作者：
Adolphs, Ralph
影响因子：
14.5
作者：
Just, MA;Cherkassky, VL;Minshew, NJ
通讯作者：
Minshew, NJ
影响因子：
64.8
作者：
Epstein, R;Kanwisher, N
通讯作者：
Kanwisher, N
影响因子：
4.2
作者：
Dichter, Gabriel S.;Felder, Jennifer N.;Bodfish, James W.
通讯作者：
Bodfish, James W.