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Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
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Neuroscience
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JoVE Journal Neuroscience
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

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

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

Automatic Translation

Standard EEG analysis techniques offer limited insight into nervous system function. Deriving statistical models of cortical connectivity offers far greater ability to investigate underlying network dynamics. Improved functional assessment opens new possibilities for diagnosis, prognostication, and outcome prediction in nervous system diseases.

Tags

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

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