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使用非侵入性脑电图的皮质连通性统计建模
JoVE Journal
Neuroscience
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JoVE Journal
Neuroscience
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
Please note that all translations are automatically generated.
Click here for the English version.
使用非侵入性脑电图的皮质连通性统计建模
DOI:
10.3791/60249-v
•
08:51 min
•
November 01, 2019
•
Conor Keogh
,
Giorgio Pini
,
Ilaria Gemo
,
Daniela Tropea
1
University Hospital Limerick
,
2
Tuscany Rett Center, Ospedale Versilia
,
3
Neuropsychiatric Genetics
,
Trinity Centre for Health Sciences, St. James Hospital
Chapters
00:04
Title
00:55
Raw Data Collection
02:17
Data Preprocessing
03:11
Feature Extraction
03:54
Data Visualization
04:57
Network Model Analysis
06:39
Results: Representative Statistical Cortical Connectivity Model
08:13
Conclusion
Summary
Automatic Translation
English (Original)
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Automatic Translation
标准脑电图分析技术对神经系统功能的洞察有限。派生皮质连接的统计模型提供了更大的能力来调查底层网络动态。改进的功能评估为神经系统疾病的诊断、预后和结果预测开辟了新的可能性。
Tags
Cortical Connectivity
Non-invasive Electroencephalography
Network Function
Neuropsychiatric Diseases
Diagnostic Methods
Therapeutic Biomarkers
EEG Data Analysis
Data Quality
Movement Artifacts
Baseline Correction
Data Preprocessing
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