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Dysfunctional Thalamus-Related Networks in Schizophrenia

机译:精神分裂症中与丘脑功能失调相关的网络

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Thalamus abnormalities are common in neurological and psychiatric illnesses. Therefore, it is essential to understand the properties of the thalamus-related networks. The thalamic reticular nucleus (TRN) is a thin GABAergic layer interface strategically located between the thalamus and the neocortex. It is, at the very beginning of life, an essential neurodevelopmental guide for the accurate build up of reciprocal anatomical glutamatergic connections between the thalamus and neocortex. It is more than the mediator of selective attention. It appears as a combinatorial matrix because it holds and can combine multiple functional modalities. TRN cells work like integrators, thanks to their extraordinary intrinsic electrophysiological properties, under the contextual and leading influence of corticothalamic inputs. The TRN and thalamus principally form 2-neuron open-loop circuits (no reciprocal connection). The major functioning principle of such GABAergic-glutamatergic circuits is lateral inhibition, which is a gold standard device to set up, via differential amplifications, coherent structured thalamocortical activity patterns. Thereby, it selects relevant streams of information and deletes distractors during action, resting states, and information integration, including during consciousness, cognition, emotion, and thought. Disruption of thalamic lateral inhibition may contribute to a lack of coordination in activity between brain regions, as observed in psychiatric disorders like schizophrenia.
机译:丘脑异常常见于神经和精神疾病。因此,了解丘脑相关网络的属性至关重要。丘脑网状核(TRN)是战略性位于丘脑和新皮层之间的薄GABA能层界面。在生命的一开始,它是至关重要的神经发育指南,可在丘脑和新皮层之间准确建立相互的解剖性谷氨酸能连接。它不仅仅是选择性关注的中介。它显示为组合矩阵,因为它可以容纳并可以组合多种功能模式。由于其非凡的内在电生理特性,TRN细胞在皮质醇输入的背景和主要影响下像积分器一样工作。 TRN和丘脑主要形成2神经元开环回路(无相互连接)。这种GABA能-谷氨酸能回路的主要功能原理是侧向抑制,这是通过差分放大来建立连贯的结构性丘脑皮质活动模式的金标准装置。因此,它选择相关的信息流,并在行动,休息状态和信息整合(包括意识,认知,情感和思想)中删除干扰因素。如在精神分裂症等精神疾病中所观察到的,丘脑侧向抑制的破坏可能导致大脑区域之间的活动缺乏协调。

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  • 来源
    《Schizophrenia Bulletin》 |2011年第2期|p.238-243|共6页
  • 作者

    Didier Pinault;

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  • 入库时间 2022-08-18 01:07:24

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