bioRxivNeurosciencePreprint
Sleep reactivation of positive self-evaluation reveals neural-evaluative alignment that varies with depressive symptoms
Ziqing YaoiD, Danni CheniD, Jing LiuiD, Jinwen WeiiD, Tao XiaiD, Xibo ZuoiD, Xie CheniD, Rachel Ngan Yin Chan, Shirley Xin LiiD, Pengmin QiniD, Tifei YuaniD, Zhe ZhangiD, Tatia M.C. LeeiD, Yina MaiD, Xiaoqing HuiD
Abstract
Positive self-evaluation underpins resilience and mental health, yet how to enhance positive self-evaluation and the underlying neurocognitive mechanisms remain poorly understood. Existing data mostly examined self-evaluative processing of the wakeful minds, with the role of sleep remain unexplored. Here, we demonstrated that reactivation of positive self-evaluation during sleep revealed fine-grained neural-evaluative alignment that varies with depressive symptoms. We found that targeted reactivation of positive personality traits during non-rapid eye movement (NREM) sleep enhanced positive self-evaluation, but this benefit diminished with elevated depressive symptoms. Moreover, cueing positive traits during NREM sleep elicited trait-specific, 11-16 Hz EEG sigma power-based neural representations that aligned with post-sleep positive self-evaluative representational structures, as revealed by representational similarity analyses. Notably, individuals with elevated depressive symptoms exhibited weaker neural-evaluative representational alignments, identifying a maladaptive self-evaluative processing that bridges across sleep and wakefulness states. These findings provide mechanistic insights on how fine-grained neural-evaluative alignment can substantiate positive self-evaluation, and why it was disrupted as depressive symptoms increased. HighlightsO_LIPositive-trait reactivation during NREM sleep enhances positive self-evaluation C_LIO_LIThis behavioral benefit decreases as depressive symptoms increase C_LIO_LISleep cueing evokes trait-specific sigma-band neural representations C_LIO_LINeural-evaluative alignment weakens as depressive symptoms increase C_LI
- organism: human
- assay: electronic health records
- research focus: cell-cell communication
- approach: statistical model
- Citations
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