Zhang Kexin, Ji Yunfei, Guo Xiaodong, Gao Tianqi, Zhang Xuemin, Yu Xin, Wang Jing
Peking University Sixth Hospital, Beijing, China.
Peking University Institute of Mental Health, Beijing, China.
Schizophr Res Cogn. 2025 Jul 31;42:100383. doi: 10.1016/j.scog.2025.100383. eCollection 2025 Dec.
Aperiodic and periodic activities of electrophysiological signals have strong correlation with various neurocognitive factors. In the current study, we aim to investigate the aperiodic exponent and periodic oscillations (alpha and beta band power) and their associations with cognitive performance in schizophrenia (SCZ).
We enrolled 32 SCZ patients and 33 healthy controls (HC) for the study. Cognitive performance was assessed using the total Brief Assessment of Cognition in Schizophrenia (BACS). Before and after the language comprehension tasks (humor, metaphor and irony), the 5-min eyes-closed and eyes-open EEG signals were collected respectively. The aperiodic exponent and periodic power were extracted and obtained according to the division of brain regions. Finally, Pearson correlation was used to examine the relationships between the EEG parameters and behavioral measures.
SCZ participants exhibited higher aperiodic exponents and lower periodic oscillations compared to HC. The aperiodic exponent decreased significantly after the tasks in central location ( (56,1) = 8.93, = 0.004, = 0.14) in both groups, while the periodic oscillations had no significant change. The variance of the aperiodic exponent showed significantly negative correlation with scores of humor comprehension tasks ( = -0.42, = 0.027) in SCZ. Besides, the pre-tasks aperiodic exponent in posterior location positively correlated with scores of attention and speed of information processing ( = 0.35, = 0.048).
Our findings confirmed the higher aperiodic exponent with lower alpha and beta band in SCZ, along with the variability and task-responsiveness of the aperiodic exponent. The findings suggest that aperiodic exponent holds strong cognitive functional implications in SCZ.
电生理信号的非周期性和周期性活动与多种神经认知因素密切相关。在本研究中,我们旨在探讨精神分裂症(SCZ)患者的非周期性指数和周期性振荡(α和β波段功率)及其与认知表现的关系。
我们招募了32名SCZ患者和33名健康对照(HC)参与研究。使用精神分裂症认知功能简要评估量表(BACS)总分评估认知表现。在语言理解任务(幽默、隐喻和反讽)前后,分别采集5分钟闭眼和睁眼的脑电图信号。根据脑区划分提取并获得非周期性指数和周期性功率。最后,采用Pearson相关性分析来检验脑电图参数与行为指标之间的关系。
与HC相比,SCZ参与者表现出更高的非周期性指数和更低的周期性振荡。两组在中央位置完成任务后,非周期性指数均显著下降((56,1) = 8.93, = 0.004, = 0.14),而周期性振荡无显著变化。SCZ患者中,非周期性指数的方差与幽默理解任务得分呈显著负相关( = -0.42, = 0.027)。此外,后部位置任务前的非周期性指数与注意力和信息处理速度得分呈正相关( = 0.35, = 0.048)。
我们的研究结果证实,SCZ患者具有较高的非周期性指数以及较低的α和β波段功率,同时非周期性指数具有变异性和任务反应性。这些结果表明,非周期性指数在SCZ中具有重要的认知功能意义。