Personalized cognitive intervention via frequency-selective intrinsic alpha modulation

在2022年，我设计了5个实验，通过自定进度的手指敲击任务测量自然运动克里思，并在四个认知任务（学习，记忆，感知决策和基于模型的推理）中使用认知建模来测量内在认知节奏。共有32名25至34岁的年轻参与者和84名65至84岁的参与者被纳入我们的行为研究。最近，我们成功地进行了为期10天的脑电图研究，29名老年人年龄超过65岁，居住在东京附近。这项试验的主要目的是深入了解驱动运动和认知衰老的机制。我们将探索阿尔法振荡和一般运动和认知克里思之间的内在相关性，在多任务的基础上神经计算模型。

In 2022, I designed 5 experiments to measure natural motor tempo via a self-paced finger-tapping task and the intrinsic cognitive tempo using cognitive modeling among four cognitive tasks (learning, memory, perceptual decision, and model-based reasoning). A total of 32 young participants aged 25 to 34 years old and 84 participants aged 65 to 84 years old were included in our behavioral study. Recently, we successfully carried out a 10-day EEG study among 29 senior participants aged over 65 years who reside near Tokyo. The primary aim of this trial was to gain insights into the mechanisms that drive motor and cognitive aging. We will explore the intrinsic correlation between alpha oscillations and general motor and cognitive tempo across multi-tasks based on neurocomputational modeling.