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Updated: Sep 11, 2025

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
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Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

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从静止状态大脑动态预测与任务相关的大脑活动,使用fMRI变压器.

Junbeom Kwon1, Jungwoo Seo1, Heehwan Wang1

  • 1Seoul National University, Seoul, South Korea.

Imaging neuroscience (Cambridge, Mass.)
|August 13, 2025
PubMed
概括

这项研究介绍了SwiFUN,这是一种深度学习模型,可以从静止状态fMRI扫描中预测大脑任务活动. 在临床神经科学中,SwiFUN提高了预测准确度,为基于任务的fMRI提供了潜在的替代方案.

关键词:
深度学习是一种深度学习.个人差异是个人的差异.静止状态的fMRI进行.任务激活预测预测任务激活

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Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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