Mapping how different brain regions communicate using electrical signals
In short: Researchers who study brain connectivity have increasingly turned to electroencephalography (EEG) to understand how different cortical regions interact. By analyzing these electrical signals, scientists can map both functional connectivity—the statistical dependence between areas—and effective connectivity, which tracks the directed flow of information across the brain.
This review synthesizes recent progress in modeling brain networks using various linear and nonlinear methods, as well as time-based and frequency-based approaches. It highlights how these techniques are being paired with machine learning to develop clinical tools for diagnosing neurological conditions.
The paper serves as a comprehensive overview of visualization methods like Heat Maps and Head Maps, though it is limited by its nature as a review of existing literature rather than a primary experimental study.
Why it matters: Understanding how brain regions communicate through electrical signals helps researchers develop better tools for diagnosing neurological disorders.
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Sources
- Source: Research: Cao et al. (2021). Brain functional and effective connectivity based on electroencephalography recordings: A review. Human Brain Mapping. · cc-by-nc-nd
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