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精神分裂症和自闭症中的心率变异性

Heart Rate Variability in Schizophrenia and Autism.

作者信息

Haigh Sarah M, Walford Tabatha P, Brosseau Pat

机构信息

Department of Psychology and Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA, United States.

Department of Psychology and Center for Integrative Neuroscience, University of Nevada, Reno, Reno, NV, United States.

出版信息

Front Psychiatry. 2021 Nov 25;12:760396. doi: 10.3389/fpsyt.2021.760396. eCollection 2021.

Abstract

Suppressed heart rate variability (HRV) has been found in a number of psychiatric conditions, including schizophrenia and autism. HRV is a potential biomarker of altered autonomic functioning that can predict future physiological and cognitive health. Understanding the HRV profiles that are unique to each condition will assist in generating predictive models of health. In the current study, we directly compared 12 adults with schizophrenia, 25 adults with autism, and 27 neurotypical controls on their HRV profiles. HRV was measured using an electrocardiogram (ECG) channel as part of a larger electroencephalography (EEG) study. All participants also completed the UCLA Loneliness Questionnaire as a measure of social stress. We found that the adults with schizophrenia exhibited reduced variability in R-R peaks and lower low frequency power in the ECG trace compared to controls. The HRV in adults with autism was slightly suppressed compared to controls but not significantly so. Interestingly, the autism group reported feeling lonelier than the schizophrenia group, and HRV did not correlate with feelings of loneliness for any of the three groups. However, suppressed HRV was related to worse performance on neuropsychological tests of cognition in the schizophrenia group. Together, this suggests that autonomic functioning is more abnormal in schizophrenia than in autism and could be reflecting health factors that are unique to schizophrenia.

摘要

在包括精神分裂症和自闭症在内的多种精神疾病中,均发现存在心率变异性(HRV)受抑制的情况。HRV是自主神经功能改变的一个潜在生物标志物,能够预测未来的生理和认知健康状况。了解每种疾病特有的HRV特征将有助于生成健康预测模型。在本研究中,我们直接比较了12名精神分裂症成年患者、25名自闭症成年患者和27名神经典型对照者的HRV特征。作为一项更大规模脑电图(EEG)研究的一部分,使用心电图(ECG)通道测量HRV。所有参与者还完成了加州大学洛杉矶分校孤独感问卷,作为社会压力的一项测量指标。我们发现,与对照组相比,精神分裂症成年患者的R-R波峰变异性降低,心电图描记中的低频功率更低。与对照组相比,自闭症成年患者的HRV略有抑制,但不显著。有趣的是,自闭症组报告的孤独感比精神分裂症组更强,并且三组中任何一组的HRV与孤独感均无相关性。然而,在精神分裂症组中,HRV受抑制与认知神经心理测试中的较差表现相关。总体而言,这表明精神分裂症患者的自主神经功能比自闭症患者更异常,可能反映了精神分裂症特有的健康因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/328b/8656307/9f5d17651296/fpsyt-12-760396-g0001.jpg

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