{"doi":"10.1111/jsr.13884","title":"Lack of structural brain alterations associated with insomnia: findings from the <scp>ENIGMA‐Sleep</scp> Working Group","abstract":"Existing neuroimaging studies have reported divergent structural alterations in insomnia disorder (ID). In the present study, we performed a large-scale coordinated meta-analysis by pooling structural brain measures from 1085 subjects (mean [SD] age 50.5 [13.9] years, 50.2% female, 17.4% with insomnia) across three international Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA)-Sleep cohorts. Two sites recruited patients with ID/controls: Freiburg (University of Freiburg Medical Center, Freiburg, Germany) 42/43 and KUMS (Kermanshah University of Medical Sciences, Kermanshah, Iran) 42/49, while the Study of Health in Pomerania (SHIP-Trend, University Medicine Greifswald, Greifswald, Germany) recruited population-based individuals with/without insomnia symptoms 75/662. The influence of insomnia on magnetic resonance imaging-based brain morphometry using an insomnia brain score was then assessed. Within each cohort, we used an ordinary least-squares linear regression to investigate the link between the individual regional cortical and subcortical volumes and the presence of insomnia symptoms. Then, we performed a fixed-effects meta-analysis across cohorts based on the first-level results. For the insomnia brain score, weighted logistic ridge regression was performed on one sample (Freiburg), which separated patients with ID from controls to train a model based on the segmentation measurements. Afterward, the insomnia brain scores were validated using the other two samples. The model was used to predict the log-odds of the subjects with insomnia given individual insomnia-related brain atrophy. After adjusting for multiple comparisons, we did not detect any significant associations between insomnia symptoms and cortical or subcortical volumes, nor could we identify a global insomnia-related brain atrophy pattern. Thus, we observed inconsistent brain morphology differences between individuals with and without insomnia across three independent cohorts. Further large-scale cross-sectional/longitudinal studies using both structural and functional neuroimaging are warranted to decipher the neurobiology of insomnia.","journal":"Journal of Sleep Research","year":2023,"id":325714,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":30,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.5336,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":235032,"name":"Stefan Frenzel","orcid":"0000-0001-5087-5970","position":1,"is_corresponding":false},{"id":989477,"name":"Hanwen Bi","orcid":"0000-0002-0327-5523","position":2,"is_corresponding":false},{"id":989478,"name":"Julian E. 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Thomopoulos","orcid":"0000-0002-0046-4070","position":14,"is_corresponding":false},{"id":51712,"name":"Paul M. Thompson","orcid":"0000-0002-4720-8867","position":15,"is_corresponding":false},{"id":52333,"name":"Sofie L. Valk","orcid":"0000-0003-2998-6849","position":16,"is_corresponding":false},{"id":5359,"name":"Henry Völzke","orcid":"0000-0001-7003-399X","position":17,"is_corresponding":false},{"id":312242,"name":"Mojtaba Zarei","orcid":"0000-0002-1967-3139","position":18,"is_corresponding":false},{"id":106615,"name":"Simon B. Eickhoff","orcid":"0000-0001-6363-2759","position":19,"is_corresponding":false},{"id":5329,"name":"Hans J. Grabe","orcid":"0000-0003-3684-4208","position":20,"is_corresponding":false},{"id":809396,"name":"Kaustubh R. 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