Lewis John D, Elman Jeffrey L
Department of Cognitive Science, University of California at San Diego, USA.
Dev Sci. 2008 Jan;11(1):135-55. doi: 10.1111/j.1467-7687.2007.00634.x.
Theoretical considerations, and findings from computational modeling, comparative neuroanatomy and developmental neuroscience, motivate the hypothesis that a deviant brain growth trajectory will lead to deviant patterns of change in cortico-cortical connectivity. Differences in brain size during development will alter the relative cost and effectiveness of short- and long-distance connections, and should thus impact the growth and retention of connections. Reduced brain size should favor long-distance connectivity; brain overgrowth should favor short-distance connectivity; and inconsistent deviations from the normal growth trajectory - as occurs in autism - should result in potentially disruptive changes to established patterns of functional and physical connectivity during development. To explore this hypothesis, neural networks which modeled inter-hemispheric interaction were grown at the rate of either typically developing children or children with autism. The influence of the length of the inter-hemispheric connections was analyzed at multiple developmental time-points. The networks that modeled autistic growth were less affected by removal of the inter-hemispheric connections than those that modeled normal growth - indicating a reduced reliance on long-distance connections - for short response times, and this difference increased substantially at approximately 24 simulated months of age. The performance of the networks showed a corresponding decline during development. And direct analysis of the connection weights showed a parallel reduction in connectivity. These modeling results support the hypothesis that the deviant growth trajectory in autism spectrum disorders may lead to a disruption of established patterns of functional connectivity during development, with potentially negative behavioral consequences, and a subsequent reduction in physical connectivity. The results are discussed in relation to the growing body of evidence of reduced functional and structural connectivity in autism, and in relation to the behavioral phenotype, particularly the developmental aspects.
理论思考以及计算建模、比较神经解剖学和发育神经科学的研究结果,促使人们提出这样的假设:异常的脑生长轨迹将导致皮质-皮质连接的异常变化模式。发育过程中脑大小的差异会改变短距离和长距离连接的相对成本和效率,因此应该会影响连接的生长和保留。脑体积减小应有利于长距离连接;脑过度生长应有利于短距离连接;而与正常生长轨迹不一致的偏差——如在自闭症中出现的情况——应会导致发育过程中已建立的功能和物理连接模式发生潜在的破坏性变化。为了探究这一假设,模拟半球间相互作用的神经网络以典型发育儿童或自闭症儿童的速度生长。在多个发育时间点分析了半球间连接长度的影响。模拟自闭症生长的网络比模拟正常生长的网络受半球间连接去除的影响更小——这表明在短反应时间内对长距离连接的依赖降低——并且这种差异在大约24个模拟月龄时大幅增加。网络的性能在发育过程中相应下降。对连接权重的直接分析显示连接性也相应降低。这些建模结果支持了这样的假设,即自闭症谱系障碍中异常的生长轨迹可能导致发育过程中已建立的功能连接模式受到破坏,产生潜在的负面行为后果,并随后导致物理连接减少。本文将结合越来越多关于自闭症中功能和结构连接减少的证据,以及行为表型,特别是发育方面的证据来讨论这些结果。