John Yohan J, Zikopoulos Basilis, Bullock Daniel, Barbas Helen
Neural Systems Laboratory, Department of Health Sciences, Boston University, Boston, Massachusetts, USA.
Human Systems Neuroscience Laboratory, Department of Health Sciences, Boston University, Boston, Massachusetts, USA.
Comput Psychiatr. 2018 Dec;2:223-257. doi: 10.1162/cpsy_a_00023.
Schizophrenia is associated with diverse cognitive deficits, including disorders of attention-related oculomotor behavior. At the structural level, schizophrenia is associated with abnormal inhibitory control in the circuit linking cortex and thalamus. We developed a spiking neural network model that demonstrates how dysfunctional inhibition can degrade attentive gaze control. Our model revealed that perturbations of two functionally distinct classes of cortical inhibitory neurons, or of the inhibitory thalamic reticular nucleus, disrupted processing vital for sustained attention to a stimulus, leading to distractibility. Because perturbation at each circuit node led to comparable but qualitatively distinct disruptions in attentive tracking or fixation, our findings support the search for new eye movement metrics that may index distinct underlying neural defects. Moreover, because the cortico-thalamic circuit is a common motif across sensory, association, and motor systems, the model and extensions can be broadly applied to study normal function and the neural bases of other cognitive deficits in schizophrenia.
精神分裂症与多种认知缺陷有关,包括与注意力相关的眼球运动行为障碍。在结构层面,精神分裂症与连接皮层和丘脑的回路中异常的抑制控制有关。我们开发了一个脉冲神经网络模型,该模型展示了功能失调的抑制如何损害注意力凝视控制。我们的模型表明,两类功能不同的皮层抑制性神经元或抑制性丘脑网状核受到扰动,会破坏对刺激持续注意力至关重要的处理过程,导致注意力分散。由于每个回路节点的扰动会在注意力跟踪或注视中导致可比但性质不同的干扰,我们的研究结果支持寻找可能指示不同潜在神经缺陷的新眼动指标。此外,由于皮质-丘脑回路是感觉、联合和运动系统中的一个常见模式,该模型及其扩展可广泛应用于研究精神分裂症中其他认知缺陷的正常功能和神经基础。