Disturbed resting state EEG synchronization in bipolar disorder: A graph-theoretic analysis

Dae Jin Kim, Amanda R. Bolbecker, Josselyn Howell, Olga Rass, Olaf Sporns, William P. Hetrick, Alan Breier, Brian F. O'Donnell

Research output: Contribution to journalArticle

68 Scopus citations


Disruption of functional connectivity may be a key feature of bipolar disorder (BD) which reflects disturbances of synchronization and oscillations within brain networks. We investigated whether the resting electroencephalogram (EEG) in patients with BD showed altered synchronization or network properties. Resting-state EEG was recorded in 57 BD type-I patients and 87 healthy control subjects. Functional connectivity between pairs of EEG channels was measured using synchronization likelihood (SL) for 5 frequency bands (δ, θ, α, β, and γ). Graph-theoretic analysis was applied to SL over the electrode array to assess network properties. BD patients showed a decrease of mean synchronization in the alpha band, and the decreases were greatest in fronto-central and centro-parietal connections. In addition, the clustering coefficient and global efficiency were decreased in BD patients, whereas the characteristic path length increased. We also found that the normalized characteristic path length and small-worldness were significantly correlated with depression scores in BD patients. These results suggest that BD patients show impaired neural synchronization at rest and a disruption of resting-state functional connectivity.

Original languageEnglish (US)
Pages (from-to)414-423
Number of pages10
JournalNeuroImage: Clinical
Issue number1
StatePublished - Apr 17 2013


  • Bipolar disorder
  • Electroencephalogram
  • Functional connectivity
  • Graph theory
  • Resting state
  • Synchronization likelihood

ASJC Scopus subject areas

  • Clinical Neurology
  • Radiology Nuclear Medicine and imaging
  • Cognitive Neuroscience
  • Neurology

Fingerprint Dive into the research topics of 'Disturbed resting state EEG synchronization in bipolar disorder: A graph-theoretic analysis'. Together they form a unique fingerprint.

  • Cite this