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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

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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

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November 01, 2019

•

Conor Keogh, Giorgio Pini, Ilaria Gemo, Daniela Tropea

¹University Hospital Limerick, ²Tuscany Rett Center, Ospedale Versilia, ³Neuropsychiatric Genetics,Trinity Centre for Health Sciences, St. James Hospital

Chapters

00:04Title
00:55Raw Data Collection
02:17Data Preprocessing
03:11Feature Extraction
03:54Data Visualization
04:57Network Model Analysis
06:39Results: Representative Statistical Cortical Connectivity Model
08:13Conclusion

Summary

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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