McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University Montreal, QC, Canada.
Department of Radiology, University of California San Diego, La Jolla, CA, USA.
Front Hum Neurosci. 2013 Dec 10;7:845. doi: 10.3389/fnhum.2013.00845. eCollection 2013.
A substantial body of evidence links differences in brain size to differences in brain organization. We have hypothesized that the developmental aspect of this relation plays a role in autism spectrum disorder (ASD), a neurodevelopmental disorder which involves abnormalities in brain growth. Children with ASD have abnormally large brains by the second year of life, and for several years thereafter their brain size can be multiple standard deviations above the norm. The greater conduction delays and cellular costs presumably associated with the longer long-distance connections in these larger brains is thought to influence developmental processes, giving rise to an altered brain organization with less communication between spatially distant regions. This has been supported by computational models and by findings linking greater intra-cranial volume, an index of maximum brain-size during development, to reduced inter-hemispheric connectivity in individuals with ASD. In this paper, we further assess this hypothesis via a whole-brain analysis of network efficiency. We utilize diffusion tractography to estimate the strength and length of the connections between all pairs of cortical regions. We compute the efficiency of communication between each network node and all others, and within local neighborhoods; we then assess the relation of these measures to intra-cranial volume, and the differences in these measures between adults with autism and typical controls. Intra-cranial volume is shown to be inversely related to efficiency for wide-spread regions of cortex. Moreover, the spatial patterns of reductions in efficiency in autism bear a striking resemblance to the regional relationships between efficiency and intra-cranial volume, particularly for local efficiency. The results thus provide further support for the hypothesized link between brain overgrowth in children with autism and the efficiency of the organization of the brain in adults with autism.
大量证据表明,大脑大小的差异与大脑组织的差异有关。我们假设这种关系的发展方面在自闭症谱系障碍(ASD)中起作用,ASD 是一种神经发育障碍,涉及大脑生长异常。患有 ASD 的儿童在生命的第二年大脑就异常增大,此后几年,他们的大脑大小可以超过正常值的几个标准差。这些较大的大脑中较长的远距离连接可能与更大的传导延迟和细胞成本有关,据推测这会影响发育过程,导致大脑组织发生改变,空间上遥远的区域之间的通讯减少。这得到了计算模型和将更大的颅内体积(发育过程中大脑最大尺寸的指标)与 ASD 患者半球间连通性降低联系起来的研究结果的支持。在本文中,我们通过对网络效率的全脑分析进一步评估了这一假设。我们利用扩散张量成像来估计所有皮质区域对之间连接的强度和长度。我们计算了每个网络节点与所有其他节点之间以及局部邻域内的通信效率;然后评估了这些测量值与颅内体积之间的关系,以及自闭症患者和典型对照组之间这些测量值的差异。颅内体积与效率之间呈负相关广泛的皮质区域。此外,自闭症中效率降低的空间模式与效率和颅内体积之间的区域关系非常相似,特别是对于局部效率。因此,这些结果进一步支持了自闭症儿童大脑过度生长与自闭症成人大脑组织效率之间的假设联系。