Brain Stimulation最新文献

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The oculomotor system of the non-human primate as a preclinical model for temporal interference brain stimulation

IF 7.6 1区医学 Q1 CLINICAL NEUROLOGY

Brain Stimulation

Pub Date : 2025-01-01 DOI: 10.1016/j.brs.2024.12.020

Brian Corneil , Sebastian Lehmann , Sarah Kearsley , Adam Williamson , Lyle Muller

引用次数: 0

Extending TMS multiscale models to network models

IF 7.6 1区医学 Q1 CLINICAL NEUROLOGY

Brain Stimulation

Pub Date : 2025-01-01 DOI: 10.1016/j.brs.2024.12.013

Alexander Opitz

引用次数: 0

Deep brain stimulation evoked potentials: enhancing neuromodulation of the subcallosal cingulate for treatment of severe depression

IF 7.6 1区医学 Q1 CLINICAL NEUROLOGY

Brain Stimulation

Pub Date : 2025-01-01 DOI: 10.1016/j.brs.2024.12.065

Allison Waters , Aashna Desai , Ki Sueng Choi , Bryan Howell , Sankar Alagapan , Chris Rozell , Patricio Riva-Posse , Brain Kopell , Martijn Figee , Helen Mayberg

引用次数: 0

Non-invasive deep brain stimulation to enhance cognitive functions: opportunities and challenges

IF 7.6 1区医学 Q1 CLINICAL NEUROLOGY

Brain Stimulation

Pub Date : 2025-01-01 DOI: 10.1016/j.brs.2024.12.017

Friedhelm Hummel

引用次数: 0

Metastability and Consistency of Large-scale Neural Networks revealed by TMS-EEGMetastability and Consistency of Large-scale Neural Networks revealed by TMS-EEG

IF 7.6 1区医学 Q1 CLINICAL NEUROLOGY

Brain Stimulation

Pub Date : 2025-01-01 DOI: 10.1016/j.brs.2024.12.035

Keiichi Kitajo

引用次数: 0

Two optimized sham-control methods for TMS-EEG and what they reveal about peripherally evoked potentials

IF 7.6 1区医学 Q1 CLINICAL NEUROLOGY

Brain Stimulation

Pub Date : 2025-01-01 DOI: 10.1016/j.brs.2024.12.031

Pedro Gordon , Yufei Song , Olivier Roy , Johanna Metsomaa , Paolo Belardinelli , Maryam Rostami , Ulf Ziemann

引用次数: 0

Enabling electric field model of microscopically realistic brain 使能电场模型的微观逼真的大脑。

IF 7.6 1区医学 Q1 CLINICAL NEUROLOGY

Brain Stimulation

Pub Date : 2025-01-01 DOI: 10.1016/j.brs.2024.12.1192

Zhen Qi , Gregory M. Noetscher , Alton Miles , Konstantin Weise , Thomas R. Knösche , Cameron R. Cadman , Alina R. Potashinsky , Kelu Liu , William A. Wartman , Guillermo Nunez Ponasso , Marom Bikson , Hanbing Lu , Zhi-De Deng , Aapo R. Nummenmaa , Sergey N. Makaroff

Background

Modeling brain stimulation at the microscopic scale may reveal new paradigms for various stimulation modalities.

Objective

We present the largest map to date of extracellular electric field distributions within a layer L2/L3 mouse primary visual cortex brain sample. This was enabled by the automated analysis of serial section electron microscopy images with improved handling of image defects, covering a volume of 250 × 140 × 90 μm³.

Methods

The map was obtained by applying a uniform brain stimulation electric field at three different polarizations and accurately computing microscopic field perturbations using the boundary element fast multipole method. We used the map to identify the effect of microscopic field perturbations on the activation thresholds of individual neurons. Previous relevant studies modeled a macroscopically homogeneous cortical volume.

Result

Our result shows that the microscopic field perturbations – an ‘electric field spatial noise’ with a mean value of zero – only modestly influence the macroscopically predicted stimulation field strengths necessary for neuronal activation. The thresholds do not change by more than 10 % on average.

Conclusion

Under the stated limitations and assumptions of our method, this result essentially justifies the conventional theory of "invisible" neurons embedded in a macroscopic brain model for transcranial magnetic and transcranial electrical stimulation. However, our result is solely sample-specific and is only relevant to this relatively small sample with 396 neurons. It largely neglects the effect of the microcapillary network. Furthermore, we only considered the uniform impressed field and a single-pulse stimulation time course.

背景：微观尺度的脑刺激模型可能揭示各种刺激模式的新范式。目的：我们展示了迄今为止最大的L2/L3层小鼠初级视觉皮层大脑样本内的细胞外电场分布图。这是通过对连续切片电子显微镜图像的自动分析实现的，并改进了对图像缺陷的处理，覆盖的体积为250 × 140 × 90 μm³。方法：应用均匀的三种不同极化的脑刺激电场，采用边界元快速多极法精确计算微观场摄动，得到脑电图。我们使用这张图来确定微观场扰动对单个神经元激活阈值的影响。先前的相关研究模拟了宏观上均匀的皮质体积。结果：我们的研究结果表明，微观场扰动——一种平均值为零的“电场空间噪声”——对神经元激活所必需的宏观预测刺激场强度的影响很小。阈值的变化平均不超过10%。结论：在我们方法的局限性和假设下，这一结果基本上证明了传统的“看不见”神经元嵌入经颅磁刺激和经颅电刺激宏观脑模型的理论是正确的。然而，我们的结果仅仅是样本特异性的，并且只与这个相对较小的396个神经元样本相关。它在很大程度上忽略了微毛细血管网络的作用。此外，我们只考虑了均匀外加场和单脉冲刺激时间过程。

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引用次数: 0

Does STN-DBS in Parkinson's Disease affect cognition? A case-control neuropsychological study and clinical considerations 帕金森病患者的STN-DBS是否影响认知？病例对照神经心理学研究及临床考虑。

IF 7.6 1区医学 Q1 CLINICAL NEUROLOGY

Brain Stimulation

Pub Date : 2025-01-01 DOI: 10.1016/j.brs.2025.01.002

Chiara Longo , Luca Zigiotto , Daniele Luigi Romano , Silvio Sarubbo , Francesco Corsini , Ruggero Bacchin , Donatella Ottaviani , Raffaella Di Giacopo , Umberto Rozzanigo , Bryan Bertoldi , Maria Chiara Malaguti , Costanza Papagno

引用次数: 0

Occipital nerve stimulation selectively modulates top-down inhibitory control 枕神经刺激选择性调节自上而下的抑制控制。

IF 7.6 1区医学 Q1 CLINICAL NEUROLOGY

Brain Stimulation

Pub Date : 2025-01-01 DOI: 10.1016/j.brs.2025.01.004

Gabriel Byczynski , Roisin Farrelly , Elias Dempsey , Iulia-Mara Scarlat , Sven Vanneste

引用次数: 0

Transcutaneous electrical stimulation enhances episodic memory encoding via a noradrenaline-attention network, with associated neuroinflammatory changes 经皮电刺激通过去甲肾上腺素-注意网络增强情景记忆编码，并伴有相关的神经炎症改变。

IF 7.6 1区医学 Q1 CLINICAL NEUROLOGY

Brain Stimulation

Pub Date : 2025-01-01 DOI: 10.1016/j.brs.2025.01.008

Elva Arulchelvan , Sven Vanneste

Background

Attention plays a central role in learning and memory processes. Prior research has demonstrated how goal-directed attention influences successful performance on both attention and working memory tasks. However, an important question remains about whether long-term memory outcomes can be reliably enhanced by targeting attention processes.

Objective

To test the hypothesis that 40 Hz Non-invasive Transcutaneous Electrical Stimulation of the Greater Occipital Nerve (NITESGON) would enhance long-term memory encoding by upregulating theta activity in the dorsal attention network. We also hypothesised that this would be in association with upregulated noradrenaline activity and downregulated cytokine activity.

Methods

In two double-blinded experiments, learning and memory were tested via a Swahili-English word-association task completed on 2 visits (separated by 1 week). 60 individuals were randomized to assess 40 Hz NITESGON's effect compared to active-control (1 Hz) or sham conditions. Before and after stimulation, rs-EEG assessed theta activity in the dorsal attention network, and saliva measures were collected incl. salivary alpha amylase (sAA; a proxy for noradrenaline activity) and cytokines (IL-6, IL-1β and TNF-α).

Results

Participants receiving 40 Hz NITESGON learned and remembered more words than control or sham groups. There were no significant differences in consolidation between the groups. 40 Hz NITESGON was associated with increased theta activity in the dorsal attention network, and this activation was associated with enhanced learning but not memory performance. The 40 Hz NITESGON group had significantly upregulated sAA post-stimulation, with this associated with learning and memory (supporting a LC-NA mechanism). Modulation of IL-1β and TNF-α were not frequency specific. However, modulation of IL-6 was specific to 40 Hz and was associated with memory outcomes.

Conclusion

40 Hz NITESGON can activate a noradrenaline – dorsal attention network, to facilitate goal-directed attention during encoding stages of a long-term memory task, in association with neuroinflammatory changes.

背景：注意在学习和记忆过程中起着核心作用。先前的研究已经证明了目标导向注意力如何影响注意力和工作记忆任务的成功表现。然而，一个重要的问题仍然存在，即长期记忆结果是否可以通过瞄准注意力过程来可靠地增强。目的：验证40 Hz无创经皮枕大神经电刺激（NITESGON）通过上调背侧注意网络的θ活动来增强长期记忆编码的假设。我们还假设这可能与去甲肾上腺素活性上调和细胞因子活性下调有关。方法：采用两组双盲实验，采用斯瓦希里语-英语单词联想任务进行学习和记忆测试，每2次访问（间隔1周）完成。将60名受试者随机分组，与主动对照（1 Hz）或假对照相比，评估40 Hz尼特斯冈的效果。刺激前后，rs-EEG评估背侧注意网络的θ活动，并收集唾液测量数据，包括唾液α淀粉酶（sAA）；（去甲肾上腺素活性的代表）和细胞因子（IL-6， IL-1β和TNF-α）。结果：接受40赫兹NITESGON治疗的参与者比对照组或假手术组学习和记忆的单词更多。两组之间在巩固方面没有显著差异。40 Hz NITESGON与背侧注意网络的θ波活动增加有关，这种激活与学习能力增强有关，但与记忆表现无关。40 Hz NITESGON组刺激后sAA显著上调，这与学习和记忆有关（支持LC-NA机制）。IL-1β和TNF-α的调节无频率特异性。然而，IL-6的调制是特定于40 Hz的，并且与记忆结果有关。结论：40 Hz NITESGON可以激活去甲肾上腺素-背侧注意网络，促进长期记忆任务编码阶段的目标导向注意，并与神经炎症变化有关。

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