针对海马网络:经颅交流电刺激的频率和状态依赖效应

IF 9.6 1区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
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引用次数: 0

摘要

非侵入性脑刺激越来越被认为是神经和精神疾病的一种可行的治疗策略。然而,其有效性取决于对刺激参数如何与大脑状态和网络动态相互作用的理解。Luo等人(2025)最近的一项研究提供了强有力的颅内证据,证明经颅交流电刺激(tACS)对海马和杏仁核[1]的神经振荡具有频率特异性和状态依赖性的影响。通过对接受立体脑电图(SEEG)的患者进行多位点颅内记录,作者证明了10hz的tACS在海马体中引发了选择性和持续的反应,并伴有明显的振荡活动调节。这一发现与先前的研究结果一致,即α频率刺激在记忆巩固和认知增强中发挥作用。相比之下,杏仁核的反应在不同频率下变化更大,更难以预测,这表明网络对外部刺激的敏感性不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
COMMENT Targeting hippocampal networks: frequency- and state-dependent effects of transcranial alternating current stimulation

Non-invasive brain stimulation is increasingly recognized as a viable therapeutic strategy for neurological and psychiatric disorders. However, its efficacy depends on understanding how stimulation parameters interact with brain state and network dynamics. A recent study by Luo et al. (2025) provides robust intracranial evidence that transcranial alternating current stimulation (tACS) exerts frequency-specific and state-dependent effects on neural oscillations in the hippocampus and amygdala [1].

Using multi-site intracranial recordings from patients undergoing stereo electroencephalography (SEEG), the authors demonstrated that 10 Hz tACS elicits a selective and sustained response in the hippocampus, with pronounced modulation of oscillatory activity. This finding aligns with prior work suggesting that alpha-frequency stimulation plays a role in memory consolidation and cognitive enhancement. In contrast, responses in the amygdala were more variable and less predictable across different frequencies, indicating differential network sensitivity to external stimulation.

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来源期刊
Molecular Psychiatry
Molecular Psychiatry 医学-精神病学
CiteScore
20.50
自引率
4.50%
发文量
459
审稿时长
4-8 weeks
期刊介绍: Molecular Psychiatry focuses on publishing research that aims to uncover the biological mechanisms behind psychiatric disorders and their treatment. The journal emphasizes studies that bridge pre-clinical and clinical research, covering cellular, molecular, integrative, clinical, imaging, and psychopharmacology levels.
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