Frequency-Dependent Changes of Local Resting Oscillations in Sleep-Deprived Brain

Abstract

Sleep deprivation (SD) adversely affects brain function and is accompanied by frequency dependent changes in EEG. Recent studies have suggested that BOLD fluctuations pertain to a spatiotemporal organization with different frequencies. The present study aimed to investigate the frequency-dependent SD-related brain oscillatory activity by using the amplitude of low-frequency fluctuation (ALFF) analysis. The ALFF changes were measured across different frequencies (Slow-4: 0.027–0.073 Hz; Slow-5: 0.01–0.027 Hz; and Typical band: 0.01–0.08 Hz) in 24 h SD as compared to rested wakeful during resting-state fMRI. Sixteen volunteers underwent two fMRI sessions, once during rested wakefulness and once after 24 h of SD. SD showed prominently decreased ALFF in the right inferior parietal lobule (IPL), bilateral orbitofrontal cortex (OFC) and dorsolateral prefrontal cortex (DLPFC), while increased ALFF in the visual cortex, left sensorimotor cortex and fusiform gyrus. Across the Slow-4 and Slow-5, results differed significantly in the OFC, DLPFC, thalamus and caudate in comparison to typical frequency band; and Slow-4 showed greater differences. In addition, negative correlations of behavior performance and ALFF patterns were found mainly in the right IPL across the typical frequency band. These observations provided novel insights about the physiological responses of SD, identified how it disturbs the brain rhythms, and linked SD with frequency-dependent alterations in amplitude patterns.

Frequency-dependent changes in local intrinsic oscillations in chronic primary insomnia: A study of the amplitude of low-frequency fluctuations in the resting state

“…Previous studies demonstrated frequency-specific alterations in amplitude patterns linked to sleep deprivation (Gao et al, 2015) and other diseases, such as amnestic mild cognitive impairment patients (Han et al, 2011), Parkinson's disease (Hou et al, 2014) and subcortical ischemic vascular disease (Li et al, 2014a). Zuo et al (Zuo et al, 2010) demonstrated that ALFF has different properties and physiological functions in different low-frequency bands (slow-5 and slow-4 bands).…”

“…The group (the CPI patients vs. the HC subjects) served as a between-subject factor, the frequency band (slow-5 and slow-4) was an independent-measures factor, and gender, age, and the mean FD was covariates (Gao et al, 2015, Han et al, 2011, Zhang et al, 2015). Further post-hoc two-sample t -tests were performed for group comparison of the slow-5 band and slow-4 band results.…”

The sleep-deprived human brain

“…Resting-state networks are typically derived from the connectivity profile of spontaneous fluctuations in functional MRI (fMRI) signal and are thought to reflect the brain’s intrinsic functional architecture that emerges without external task demands 141,142 . Across these networks, SD is associated with reduced connectivity within the default mode network (DMN), the dorsal attention network, and the auditory, visual and motor networks 143–145 . In fact, measures of abnormal change in whole-brain connectivity enable classification of an individual as either being rested or sleep deprived with more than 60% accuracy 144 .…”

The Instant Spontaneous Neuronal Activity Modulation of Transcutaneous Auricular Vagus Nerve Stimulation on Patients With Primary Insomnia

“…The average amplitude value reflects the spontaneous activity intensity of the brain region during this period (Zang et al, 2007;Hoptman et al, 2010). Previous studies have shown that there are widely abnormal in spontaneous neuronal activity in the temporal lobe, prefrontal lobe, occipital lobe, and visual cortex-related brain regions of PI patients or sleep-deprived persons (Gao et al, 2015;Dai et al, 2016). Therefore, in this study, it was supposed that taVNS may modulate the spontaneous neuronal activity in specific brain regions on PI.…”

“…The occipital lobe is not only an important region for processing and integrating the visual information, but also a major area for consolidating the visual memory process (Wang et al, 2007). Interestingly, a study has shown that sleep deprivation subjects have reduced visual information processing ability (Gao et al, 2015). However, neurons in the visually relevant cortical area are abnormally active at rest (Kong et al, 2011), which could be a compensation mechanism.…”