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使用非侵入性脑电图的皮质连通性统计建模
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Neurociência
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JoVE Journal Neurociência
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

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08:51 min

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November 01, 2019

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

Capítulos

  • 00:04Título
  • 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

Tadução automática

Tadução automática

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 ConnectivityNon-invasive ElectroencephalographyNetwork FunctionNeuropsychiatric DiseasesDiagnostic MethodsTherapeutic BiomarkersEEG Data AnalysisData QualityMovement ArtifactsBaseline CorrectionData Preprocessing

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