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Neuronal Dynamics Regulating Brain and Behavioral State Transitions

机译:神经元动力学调节大脑和行为状态过渡

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Prolonged behavioral challenges can cause animals to switch from active to passive coping strategies to manage effort-expenditure during stress; such normally adaptive behavioral state transitions can become maladaptive in psychiatric disorders such as depression. The underlying neuronal dynamics and brainwide interactions important for passive coping have remained unclear. Here, we develop a paradigm to study these behavioral state transitions at cellular-resolution across the entire vertebrate brain. Using brainwide imaging in zebrafish, we observed that the transition to passive coping is manifested by progressive activation of neurons in the ventral (lateral) habenula. Activation of these ventral-habenula neurons suppressed downstream neurons in the serotonergic raphe nucleus and caused behavioral passivity, whereas inhibition of these neurons prevented passivity. Data-driven recurrent neural network modeling pointed to altered intra-habenula interactions as a contributory mechanism. These results demonstrate ongoing encoding of experience features in the habenula, which guides recruitment of downstream networks and imposes a passive coping behavioral strategy.
机译:长期的行为挑战可能导致动物从积极转变为无源应对策略,以管理压力期间的努力支出;这种通常适应性的行为状态过渡可以在抑郁症等精神疾病中变得适应。对于被动应对的潜在的神经元动态和脑拓互动仍然不清楚。在这里,我们开发一个范例来研究整个脊椎动物脑中的细胞分辨率的这些行为状态转变。在斑马鱼中使用脑壳成像,我们观察到对被动应对的过渡表现出腹侧(侧面)湿地中神经元的逐渐激活。激活这些腹侧毛皮神经元抑制了血清on rAphe核中的下游神经元并引起了行为的杂志,而这些神经元的抑制阻止了被动性。数据驱动的经常性神经网络建模指出,改变哈伯拉内的相互作用作为贡献机制。这些结果表明,持续编码哈伯拉州的经验特征,引导下游网络招募并施加被动应对行为策略。

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