定义记忆调制的个性化Theta频率：一种跨大脑状态和区域的机器学习方法。

IF 4.5 2区医学 Q1 NEUROIMAGING

NeuroImage Pub Date : 2025-09-23 DOI:10.1016/j.neuroimage.2025.121482

Tuba Aktürk , Emine Elif Tülay , Bahar Güntekin , Alexander T. Sack

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引用次数: 0

摘要

最近的经颅交流电刺激（tACS）研究表明，theta频率刺激可以调节记忆表现，并有证据表明最佳刺激频率的个体差异。然而，目前尚不清楚哪种大脑状态（“何时”）和皮层区域（“何处”）最能预测与记忆相关的θ波频率。本研究旨在利用机器学习方法确定情景记忆调制中最相关的个性化θ频率（ITF）参数。收集了46名健康年轻人在休息和执行视觉（VM）和听觉（AM）记忆任务时的脑电图数据，随后进行了自由回忆评估。itf从18个电极位置的功率谱和全球平均值（“在哪里”）中提取为峰值θ频率，横跨三种状态：休息，任务编码和任务延迟（“何时”）。采用K-means聚类方法，将被试分为高绩效组和低绩效组，并通过相关分析和贝叶斯回归分析进一步检验候选itf，以评估其预测能力。所有候选ITF都显示出一定的聚类成功，但全局任务状态ITF在不同的性能组之间表现得最好，与任务模式无关。值得注意的是，静息状态左后顶叶（LPP） ITF与VM和AM性能均呈负相关，表明其在基线记忆容量中具有普遍作用。此外，还观察到特定任务的贡献：编码相关的左颞顶叶和延迟相关的左中央itf与AM表现显著相关，可能反映了听觉特定过程。这些发现强调了在定义个性化刺激方案时“何时”和“何地”特异性的重要性。静息状态LPP ITF可能作为一种有前途的生物标志物，用于在亚ITF频率下定制tac以增强记忆性能。

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Defining individualized theta frequency for memory modulation: A machine learning approach across brain states and regions

Recent transcranial alternating current stimulation (tACS) studies suggest that theta-frequency stimulation can modulate memory performance, with evidence highlighting individual variability in optimal stimulation frequency. However, it remains unclear which brain state ("when") and cortical region ("where") are most predictive of memory-related theta frequencies. This study aimed to identify the most relevant individualized theta frequency (ITF) parameters for episodic memory modulation using a machine learning approach.

EEG data were collected from 46 healthy young-adults during rest and while performing visual (VM) and auditory (AM) memory tasks, followed by free-recall assessments. ITFs were extracted as peak theta frequencies from power spectra across 18 electrode sites and a global average (“where”), across three states: resting, task-encoding, and task-delay ("when"). Participants were clustered into high- and low-performing groups based on ITFs using K-means clustering, and candidate ITFs were further examined via correlation and Bayesian regression analyses to assess their predictive power.

All ITF candidates showed some clustering success, but global task-state ITFs best distinguished between performance groups, independent of task modality. Notably, resting-state left posterior parietal (LPP) ITF was negatively correlated with both VM and AM performance, suggesting a domain-general role in baseline memory capacity. Additionally, task-specific contributions were observed: encoding-related left temporoparietal and delay-related left central ITFs were significantly associated with AM performance, potentially reflecting auditory-specific processes.

These findings highlight the importance of “when” and “where” specificity in defining individualized stimulation protocols. Resting-state LPP ITF, in particular, may serve as a promising biomarker for tailoring tACS at sub-ITF frequencies to enhance memory performance.

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来源期刊

NeuroImage 医学-核医学

CiteScore

11.30

自引率

10.50%

发文量

809

审稿时长

63 days

期刊介绍： NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.