A Comparative Investigation of Functional Connectivity Utilizing Electroencephalography in Insomnia Patients with and without Restless Leg Syndrome

Seo-Young Park Young-Min Park Yang Rae Kim

Published in: Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology (2023)

The prefrontal cortex, primary somatosensory cortex, and visual cortex showed potential as diagnostic biomarkers for distinguishing RLS from primary insomnia. These findings indicate that QEEG-based functional connectivity analysis shows promise as a valuable diagnostic tool for RLS and provides insights into its underlying mechanisms. Further research is needed to explore this aspect further.

Keyphrases

functional connectivity
resting state
prefrontal cortex
sleep quality
big data
transcranial direct current stimulation
depressive symptoms
climate change
deep learning
data analysis