Brain Function and Sleep Apnea

Proposal details

Title: Brain Function and Sleep Apnea
Research Area(s): Sleep
Background: Obstructive sleep apnea (OSA) is a common condition affecting 3-6% of the population. Affected individuals often report symptoms of excessive daytime sleepiness and, impairments in daytiem work and social functioning. There have been studies examining the cognitive impairments in subjects with OSA, but not with a standardized and validated battery.
Aims: The paper addresses the question of whether there are differences in performance and EEG/ERP measures between questionnaire-defined sleep apnea and matched controls. It will help us identify areas in which we might expect to find between group differences: our next study is a sleep-centre based cross sectional study in which testing at the Brain Resource Company is included.
Method: Subjects: OSA group: subjects aged 18-70 from the International Brain Resource Database scoring 3 or greater in Index 1 of the Apnea Prediction Index (Maislin 1995)(Index 1 is the average of the nonmissing values in variables sleep11, sleep12, and sleep13). Control group: subjects scoring zero on index one (answering 'no' to sleep1) of the Apnea Prediction Index, who are matched for age and gender for individual subjects in the OSA group. Exclusion criteria: a history of attention deficit hyperactivity disorder, schizophrenia, bipolar disorder or other major psychiatric illness. In addition, exclusion criteria for the normative database as stated in the draft BRC methods document will apply.ANALYSIS Demographic details: comparisons will be made between groups (OSA and Controls) for age, gender, years of education, alcohol consumption, smoking, drug-taking behaviour. For the EEG measures (and, separately, the ERP measures) MANCOVA with group (osa, control), brain region (anterior, posterior), and age (continuous variable) as predictors. Gamma phase synchrony during the auditory oddball paradigm will be analysed with ANCOVA using group and age as predictors. ANCOVA will be used for components of the cognitive performance profile battery: group, age and years of education as predictors. ANCOVA for the DASS subscales with group and age as predictors.