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Few researches have been conducted on functional connectivity (FC) during sleep in depression. In this paper, a novel depression characterization is proposed using specific spatial FC features of sleep electroencephalography (EEG). Overnight polysomnography recordings were obtained from 26 healthy individuals and 25 patients with depression. The weighted phase lag indexes (WPLIs) of four frequency bands and five sleep periods were obtained from 16 EEG channels. The high discriminative connections extracted via feature evaluation and the cross\u2010within variation (CW)\u2014the spatial feature constructed to characterize the different performances in inter\u2010 and intra\u2010hemispheric FC based on WPLIs, were utilized to classify patients and normal controls. The results showed that enhanced average FC and spatial differences, higher inter\u2010hemispheric FC and lower intra\u2010hemispheric FC, were found in patients. Furthermore, abnormalities in the inter\u2010hemispheric connections of the temporal lobe in the theta band should be important indicators of depression. Finally, both CW and high discriminative WPLI features performed well in depression screening and CW was more specific for characterizing abnormal cortical EEG performance of depression. Our work investigated and characterized the abnormalities in sleep cortical activity in patients with depression, and may provide potential biomarkers for assisting with depression identification and new insights into the understanding of pathological mechanisms in depression.<\/jats:p>","DOI":"10.1002\/jnr.24947","type":"journal-article","created":{"date-parts":[[2021,10,16]],"date-time":"2021-10-16T06:13:32Z","timestamp":1634364812000},"page":"3021-3034","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Characterization of specific spatial functional connectivity difference in depression during sleep"],"prefix":"10.1002","volume":"99","author":[{"given":"Jiakai","family":"Lian","sequence":"first","affiliation":[{"name":"School of Biomedical Engineering Sun Yat\u2010sen University Guangzhou 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