High-frequency neuromodulation improves obsessive-compulsive behavior.

High-frequency neuromodulation improves obsessive-compulsive behavior.
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高频神经调节改善强迫行为。

DOI:
10.1038/s41591-020-01173-w
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发表时间:
2021-03
期刊:
影响因子:
82.9
通讯作者:
Reinhart, Robert M. G.
Reinhart, Robert M. G.
中科院分区:
医学1区
文献类型:
--
作者:
Grover, Shrey;Nguyen, John A.;Viswanathan, Vighnesh;Reinhart, Robert M. G.

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全世界有近10亿人患有强迫行为,但我们对这些行为的机械理解是不完整的,并且没有有效的治疗方法。一种新兴的观点将强迫行为描述为适应不良的习惯学习,这可能与奖励处理过程中眶额-纹状体回路的异常β-γ神经生理学有关。我们用交流电靶向眶额皮层,根据奖励网络的内在β-γ频率进行个性化设置,并显示出对奖励引导的选择行为和学习的快速、可逆、频率特异性调制,而不是惩罚引导的选择行为和学习,这是由行动者-批评者架构中增加的探索驱动的。接下来,我们证明,长期应用该程序超过5天,可在3个月内有力地减弱非临床人群的强迫行为,其中症状更严重的个体获益最大。最后,我们表明,收敛机制调制奖励学习和减少强迫症状的基础。这些结果有助于奖励,学习和强迫行为的神经生理学理论,表明β-γ范围内节奏的统一功能作用,并为相关疾病的个性化电路治疗的发展奠定了基础。
Nearly one billion people worldwide suffer from obsessive-compulsive behaviors, yet our mechanistic understanding of these behaviors is incomplete, and effective therapeutics are unavailable. An emerging perspective characterizes obsessive-compulsive behaviors as maladaptive habit learning, which may be associated with abnormal beta-gamma neurophysiology of the orbitofrontal-striatal circuitry during reward processing. We target the orbitofrontal cortex with alternating current, personalized to the intrinsic beta-gamma frequency of the reward network, and show rapid, reversible, frequency-specific modulation of reward- but not punishment-guided choice behavior and learning, driven by increased exploration in the setting of an actor-critic architecture. Next, we demonstrate that chronic application of the procedure over 5 days robustly attenuates obsessive-compulsive behavior in a non-clinical population for 3 months, with the largest benefits for individuals with more severe symptoms. Finally, we show that convergent mechanisms underlie modulation of reward learning and reduction of obsessive-compulsive symptoms. The results contribute to neurophysiological theories of reward, learning and obsessive-compulsive behavior, suggest a unifying functional role of rhythms in the beta-gamma range, and set the groundwork for the development of personalized circuit-based therapeutics for related disorders.
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