Sponheim Scott R, Ramsay Ian S, Lynn Peter A, Vinogradov Sophia
Minneapolis VA Health Care System, Minneapolis, Minnesota; Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, Minnesota.
Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, Minnesota.
Biol Psychiatry Cogn Neurosci Neuroimaging. 2024 Aug 23. doi: 10.1016/j.bpsc.2024.08.007.
Recent interest in how neural oscillations reflect the flow of information through the brain has led to partitioning electroencephalography (EEG) recordings into periodic (i.e., oscillatory) and aperiodic (i.e., non-oscillatory) components. While both contribute to conventional measures of power within the frequencies that compose EEG recordings, the periodic aspect characterizes true oscillations, the speed of which is thought to be critical to efficient functioning of neural systems. Given evidence of EEG power abnormalities in schizophrenia (SCZ), we sought to determine whether the periodic aspect of EEG was aberrant in people with SCZ and could serve as a general measure of brain efficiency.
Resting-state EEGs were gathered from 104 participants with SCZ and 105 healthy control participants. We used the FOOOF toolbox to remove aperiodic neural activity. We computed the cross-correlation between power spectra for individual participants and the mean power spectrum for all participants to quantify the relative speed of neural oscillations.
Periodic activity in SCZ was shifted toward lower frequencies than control participants during eyes-closed rest. On average, participants with SCZ had a 0.55-Hz shift toward oscillatory slowing across the frequency spectrum that predicted worse perceptual reasoning.
Slowed periodic activity at rest is evident in SCZ and may represent inefficient functioning of neural circuits as reflected in worse perceptual reasoning. A slower pace of neural oscillations may be a general limitation on the transmission of information within the brain.
最近对神经振荡如何反映大脑中信息流的兴趣,导致将脑电图(EEG)记录划分为周期性(即振荡性)和非周期性(即非振荡性)成分。虽然两者都对构成EEG记录的频率范围内的传统功率测量有贡献,但周期性方面表征了真正的振荡,其速度被认为对神经系统的有效运作至关重要。鉴于精神分裂症(SCZ)患者存在EEG功率异常的证据,我们试图确定SCZ患者的EEG周期性方面是否异常,并能否作为大脑效率的一般指标。
收集了104名SCZ患者和105名健康对照者的静息态EEG。我们使用FOOOF工具箱去除非周期性神经活动。我们计算了个体参与者的功率谱与所有参与者的平均功率谱之间的互相关,以量化神经振荡的相对速度。
在闭眼休息期间,SCZ患者的周期性活动比对照参与者向更低频率偏移。平均而言,SCZ患者在整个频谱上向振荡减慢方向偏移0.55赫兹,这预示着更差的感知推理能力。
SCZ患者静息时周期性活动减慢明显,这可能代表神经回路功能低效,表现为更差的感知推理能力。神经振荡速度减慢可能是大脑内信息传递的一个普遍限制。