Increased Functional Connectivity Between Subcortical and Cortical Resting-State Networks in Autism Spectrum Disorder.

Increased Functional Connectivity Between Subcortical and Cortical Resting-State Networks in Autism Spectrum Disorder.
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DOI:
10.1001/jamapsychiatry.2015.0101
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发表时间:
2015-08
期刊:
影响因子:
25.8
通讯作者:
Keysers, Christian
Keysers, Christian
中科院分区:
医学1区
文献类型:
--
作者:
Cerliani, Leonardo;Mennes, Maarten;Thomas, Rajat M.;Di Martino, Adriana;Thioux, Marc;Keysers, Christian

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自闭症谱系障碍(ASD)患者在社会交往、运动协调、行为灵活性和非典型感觉处理方面表现出严重的困难,并具有相当大的个体间差异。这种异质性的症状最近导致了对大规模大脑网络相互作用中异常存在的调查。到目前为止,研究集中在大脑区域的约束集或全脑分析,而不是集中在大脑网络之间的相互作用。比较大样本ASD个体和典型发育对照受试者大脑网络之间的内在功能连接,并估计群体差异在多大程度上预测自闭症特征并反映不同的发展轨迹。我们研究了166名男性个体(平均年龄,17.6岁;年龄范围,7-50岁)诊断为DSM-IV-TR自闭症或Barger综合征和193名典型的发展中男性个体(平均年龄,16.9岁;年龄范围,6.5-39.4岁)使用静息态功能磁共振成像(MRI)。参与者的年龄,智商,头部运动和眼睛状态(开放或关闭)在MRI扫描仪匹配。我们分析了来自自闭症脑成像数据交换(ABIDE)的数据,这是一个来自17个中心的汇总MRI数据集,于2012年8月公布。我们估计使用数据驱动的方法(独立成分分析)提取的大脑网络的时间过程之间的相关性。随后,我们将网络之间的交互强度估计与社会反应量表索引的年龄和自闭症特征相关联。相对于正常发育的对照组参与者,ASD患者表现出初级感觉网络和皮质下网络(丘脑和基底神经节)之间的功能连接增加(所有t ≥ 3.13,P <0.001校正)。在ASD组中,这种联系的强度与自闭症特征的严重程度相关(所有r ≥ 0.21,P <0.0067)。此外,在整个样本中,皮质下-皮质相互作用随着年龄的增长而减少(所有r ≤-0.09,P <0.012校正),尽管这种关联仅在典型发育的参与者中显着(所有r ≤-0.13,P <0.009校正)。我们的研究结果表明,ASD相关的损害之间的相互作用的初级感觉皮层和皮层下区域的感觉过程,他们subserve异常影响大脑信息处理的个体与ASD。这可能会导致敏感性减退或超敏反应的发生,以及自上而下的行为调节的困难。
Individuals with autism spectrum disorder (ASD) exhibit severe difficulties in social interaction, motor coordination, behavioral flexibility, and atypical sensory processing, with considerable interindividual variability. This heterogeneous set of symptoms recently led to investigating the presence of abnormalities in the interaction across large-scale brain networks. To date, studies have focused either on constrained sets of brain regions or whole-brain analysis, rather than focusing on the interaction between brain networks. To compare the intrinsic functional connectivity between brain networks in a large sample of individuals with ASD and typically developing control subjects and to estimate to what extent group differences would predict autistic traits and reflect different developmental trajectories. We studied 166 male individuals (mean age, 17.6 years; age range, 7-50 years) diagnosed as having DSM-IV-TR autism or Asperger syndrome and 193 typical developing male individuals (mean age, 16.9 years; age range, 6.5-39.4 years) using resting-state functional magnetic resonance imaging (MRI). Participants were matched for age, IQ, head motion, and eye status (open or closed) in the MRI scanner. We analyzed data from the Autism Brain Imaging Data Exchange (ABIDE), an aggregated MRI data set from 17 centers, made public in August 2012. We estimated correlations between time courses of brain networks extracted using a data-driven method (independent component analysis). Subsequently, we associated estimates of interaction strength between networks with age and autistic traits indexed by the Social Responsiveness Scale. Relative to typically developing control participants, individuals with ASD showed increased functional connectivity between primary sensory networks and subcortical networks (thalamus and basal ganglia) (all t ≥ 3.13, P < .001 corrected). The strength of such connections was associated with the severity of autistic traits in the ASD group (all r ≥ 0.21, P < .0067 corrected). In addition, subcortico-cortical interaction decreased with age in the entire sample (all r ≤ −0.09, P < .012 corrected), although this association was significant only in typically developing participants (all r ≤ −0.13, P < .009 corrected). Our results showing ASD-related impairment in the interaction between primary sensory cortices and subcortical regions suggest that the sensory processes they subserve abnormally influence brain information processing in individuals with ASD. This might contribute to the occurrence of hyposensitivity or hypersensitivity and of difficulties in top-down regulation of behavior.
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