通过图形神经网络从休息状态的功能性MRI中发现精神疾病的强有力的生物标志物:系统性审查

相关实验视频

Updated: May 5, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

Yi Hao Chan¹, Deepank Girish¹, Sukrit Gupta²

¹College of Computing and Data Science, Nanyang Technological University, Singapore, 639798, Singapore.

|August 31, 2025

概括

图形神经网络 (GNN) 对分析脑成像数据 (fMRI) 来识别精神疾病生物标志物具有前景. 然而,目前的方法缺乏稳定性,需要新的可靠生物标志物发现标准.

科学领域:

神经科学
机器学习
生物标志物发现

背景情况:

图形神经网络 (GNN) 在精神疾病研究中越来越多地用于功能磁共振成像 (fMRI) 分析.
虽然GNN可以改善疾病的分类,但评估已识别的生物标志物的稳定性仍然是一个挑战,通常依赖于主观文献审查.

研究的目的:

审查GNN和可解释性技术在fMRI中的应用,以预测精神疾病.
批判性地评估GNN在精神疾病中发现的潜在生物标志物的稳定性.

主要方法:

在ADHD,ASD,MDD和精神分裂症的fMRI生物标志物中使用GNN的65项研究的系统文献搜索.
分析重点是用于突出潜在生物标志物的特征归因方法,以及它们在研究中的可重复性.

主要成果:

大多数研究报告高模型性能,但发现的显着fMRI特征 (生物标志物) 在同一疾病的研究中显著不同.
生物标志物的可复制性有限,很少发现跨诊断标志物.
目前对生物标志物强度的评估方法不一致.

结论:

需要标准化,客观的评估指标来评估GNN衍生的fMRI生物标志物的稳定性.
拟议的预测-归因-评估框架旨在指导未来的研究发现可靠的生物标志物.

关键词:

生物标志物的发现功能归属图表神经网络模型可解释性精神疾病休息状态的fMRI 坚固性

更多相关视频

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

相关概念视频

Magnetic Resonance Imaging

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

Brain Imaging

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...