Mapping gray matter reductions in obstructive sleep apnea: An activation likelihood estimation meta-analysis

Hsu Huei Weng*, Yuan Hsiung Tsai, Chih Feng Chen, Yu Ching Lin, Cheng Ta Yang, Ying Huang Tsai, Chun Yuh Yang

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

78 Scopus citations

Abstract

Study Objectives: The authors reviewed the literature on the use of voxel-based morphometry (VBM) in obstructive sleep apnea (OSA) magnetic resonance imaging (MRI) studies via the use of a meta-analysis of neuroimaging to identify consistent and specific structural deficits in patients with sleep apnea compared with healthy subjects. Design: Neuroimaging meta-analysis. Data Sources: We used PubMed to retrieve articles published between January 2000 and February 2012. Study Selection: The authors included all VBM research on patients with OSA and healthy controls. They compared the findings of the studies by using gray matter volume (GMV) or gray matter concentration (GMC) to index differences in gray matter. Data Extraction: Stereotactic data were extracted from eight VBM studies of 213 patients with OSA and 195 control subjects. Results: Regional gray matter reduction in the bilateral parahippocampus and less-convincing right superior frontal and left middle temporal gyri was demonstrated in patients with sleep apnea using an activation likelihood estimation (ALE) procedure to analyze significant differences. Conclusions: Significant reductions in gray matter in patients with sleep apnea occurred in the bilateral parahippocampus and less-convincing frontotemporal regions, which may be related to the neurocognitive processing abnormalities that are common among populations of patients with sleep apnea.

Original languageEnglish
Pages (from-to)167-175
Number of pages9
JournalSleep
Volume37
Issue number1
DOIs
StatePublished - 01 01 2014

Keywords

  • Meta-analysis
  • Obstructive sleep apnea
  • Voxel-based morphometry

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