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An increasing number of studies harness resting-state fMRI functional connectivity analysis to investigate the neurobiological mechanisms of insomnia. The results to date are inconsistent and the detection of minor and widely distributed alterations in functional connectivity requires large sample sizes. The present study investigated associations between insomnia symptoms and resting-state functional connectivity at the whole-brain level in the largest sample to date. This cross-sectional analysis used resting-state imaging data from the UK Biobank, a large scale, population-based biomedical database. The analysis included 29,423 participants (age: 63.1 ± 7.5 years, 54.3% female), comprising 9210 with frequent insomnia symptoms and 20,213 controls without. Linear models were adjusted for relevant clinical, imaging, and socio-demographic variables. The Akaike information criterion was used for model selection. Multiple comparisons were corrected using the false discovery rate with a significance level of q 

Original publication




Journal article


J Sleep Res

Publication Date





default mode network, frontoparietal network, population neuroimaging, resting-state fMRI, salience network, Humans, Female, Middle Aged, Aged, Male, Sleep Initiation and Maintenance Disorders, Brain Mapping, Biological Specimen Banks, Cross-Sectional Studies, Brain, Magnetic Resonance Imaging, United Kingdom