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Related Concept Videos

Brain Imaging01:14

Brain Imaging

258
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...
258

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Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
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Normative brain mapping using scalp EEG and potential clinical application.

Vytene Janiukstyte1, Thomas W Owen1, Umair J Chaudhary2

  • 1CNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, NE4 5DG, UK.

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|August 18, 2023
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Summary
This summary is machine-generated.

This study created a stable brain map using electroencephalography (EEG) relative band power. This normative mapping approach shows potential for identifying abnormal brain activity, particularly in epilepsy cases.

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Understanding normal brain function is crucial for identifying neurological disorders.
  • Electroencephalography (EEG) provides valuable insights into brain dynamics.
  • Normative brain maps can serve as a reference for assessing brain activity.

Purpose of the Study:

  • To create a normative brain map using scalp EEG relative band power.
  • To assess the temporal stability and cross-modality similarity of these maps.
  • To explore the clinical utility of normative EEG maps in epilepsy.

Main Methods:

  • Constructed scalp EEG normative maps from 17 healthy controls using source-localized resting-state recordings.
  • Correlated EEG maps with Magnetoencephalography (MEG) and intracranial EEG (iEEG) data.
  • Applied normative maps to lateralize abnormal brain regions in epilepsy patients.

Main Results:

  • Spatial patterns of band powers were consistent with existing literature and temporally stable.
  • Scalp EEG maps showed highest similarity to MEG and iEEG in the alpha band.
  • Abnormal temporal regions were identified ipsilateral to the epileptogenic hemisphere in epilepsy cases.

Conclusions:

  • Scalp EEG relative band power normative maps are spatially stable and feasible to create.
  • Normative mapping demonstrates potential clinical utility, especially in epilepsy diagnosis and localization.
  • Further validation with larger cohorts and high-density EEG is recommended.