Moderating effects of music on resting state networks

Benjamin P. Kay, Xiangxiang Meng, Mark W. Difrancesco, Scott K. Holland, Jerzy P. Szaflarski

Research output: Contribution to journalArticlepeer-review

49 Scopus citations

Abstract

Resting state networks (RSNs) are spontaneous, synchronous, low-frequency oscillations observed in the brains of subjects who are awake but at rest. A particular RSN called the default mode network (DMN) has been shown to exhibit changes associated with neurological disorders such as temporal lobe epilepsy or Alzheimer's disease. Previous studies have also found that differing experimental conditions such as eyes-open versus eyes-closed can produce measurable changes in the DMN. These condition-associated changes have the potential of confounding the measurements of changes in RSNs related to or caused by disease state(s). In this study, we use fMRI measurements of resting-state connectivity paired with EEG measurements of alpha rhythm and employ independent component analysis, undirected graphs of partial spectral coherence, and spatiotemporal regression to investigate the effect of music-listening on RSNs and the DMN in particular. We observed similar patterns of DMN connectivity in subjects who were listening to music compared with those who were not, with a trend toward a more introspective pattern of resting-state connectivity during music-listening. We conclude that music-listening is a valid condition under which the DMN can be studied.

Original languageEnglish
Pages (from-to)53-64
Number of pages12
JournalBrain Research
Volume1447
DOIs
StatePublished - Apr 4 2012

Keywords

  • Default mode network
  • EEG
  • Functional connectivity
  • Independent component analysis
  • fMRI

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