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Nature and Science of Sleep logoLink to Nature and Science of Sleep
. 2021 Sep 16;13:1545–1560. doi: 10.2147/NSS.S314769

Impaired Vigilant Attention Partly Accounts for Inhibition Control Deficits After Total Sleep Deprivation and Partial Sleep Restriction

Tianxin Mao 1,2, David Dinges 3, Yao Deng 1,2, Ke Zhao 2, Zijing Yang 2,4, Hui Lei 2, Zhuo Fang 2, Fan Nils Yang 2, Olga Galli 3, Namni Goel 5, Mathias Basner 3, Hengyi Rao 1,2,3,
PMCID: PMC8455079  PMID: 34557048

Abstract

Purpose

Sleep loss impairs a range of neurobehavioral functions, particularly vigilant attention and arousal. However, the detrimental effects of sleep deprivation on inhibition control and its relationship to vigilant attention impairments remain unclear. This study examined the extent to which vigilant attention deficits contribute to inhibition control performance after one night of total sleep deprivation (TSD) and two nights of partial sleep restriction (PSR).

Participants and Methods

We analyzed data from N = 49 participants in a one-night of TSD experiment, N=16 participants in a control experiment without sleep loss, and N = 16 participants in a two-nights of PSR experiment (time in bed, TIB = 6 h for each night). Throughout waking periods in each condition, participants completed the psychomotor vigilance test (PVT), which measures vigilant attention, and the Go/No-Go task, which measures inhibition control.

Results

After TSD and PSR, participants displayed significantly slower reaction times (RT) and more lapses in PVT performance, as well as slower Go RT and more errors of omission during the Go/No-Go task. PVT deficits accounted for 18.0% of the change in Go RT and 12.4% of the change in errors of omission in the TSD study, and 23.7% of the change in Go RT and 20.3% of the change in errors of omission in the PSR study.

Conclusion

Both TSD and PSR impaired inhibition control during the Go/No-Go task, which can be partly accounted for by vigilant attention deficits during the PVT. These findings support the key role of vigilant attention in maintaining overall neurobehavioral function after sleep loss.

Keywords: total sleep deprivation, partial sleep restriction, vigilant attention, inhibition control

Plain Language Summary

Previous research suggests that vigilant attention deficits may be the general factor underlying cognitive impairments following sleep deprivation. However, the detrimental effect of sleep loss on inhibition control and its relationship to vigilant attention impairment after sleep deprivation remains unclear. Here we examined the extent to which performance deficits in the Go/No-Go task are explained by vigilant attention impairments after TSD and PSR. The results demonstrate that both TSD and PSR significantly impair inhibition control, which can be partly explained by vigilant attention deficits. These findings support the fundamental role of vigilant attention in maintaining neurobehavioral function during insufficient sleep.

Introduction

Sleep accounts for about a third of our time and is an indispensable part of human life. However, with the development of science and technology, and the acceleration of the pace of life, the phenomenon of sleep loss has become a significant public health concern. Partial sleep restriction (PSR) and total sleep deprivation (TSD) are two common forms of sleep deprivation. Many previous studies demonstrate that both forms of sleep loss can negatively affect an individual’s cognition, mood, and physical health.1–8

Inhibition control refers to the ability to choose appropriate responses while suppressing inappropriate and unwanted behavior. It is a core component of executive function and is essential for controlling human behavior.9,10 Deficient inhibition control may negatively affect individuals’ career goals and social relationships.11 Poor inhibition control is generally associated with the attentional deficits shown by attention deficit hyperactivity disorder patients, violence, drug addiction, and suicidal behavior.12 One of the most commonly used paradigm for measuring inhibition control is the Go/No-Go task, which requires individuals to respond as quickly as possible to select stimuli while withholding a response to all other stimuli.13

Due to the prevalence of sleep loss and the importance of inhibition control, many researchers have explored the effects of sleep disturbance or sleep deprivation on inhibition control.14 For example, one previous event-related potentials (ERP) study found that poor sleep affects the speed to inhibit a motor response as well as the intensity of pre-motor inhibitory processes and task-relevant information processing,15 while a more recent study found that sleep deprivation impairs memory control with sleep-deprived participants showing more unsuccessful suppression of intrusions of emotionally negative and neutral scenes than rested participants.16 However, the effects of both total and partial sleep deprivation on inhibition control are not consistent. In TSD experiments, some studies have found that inhibition control is significantly diminished from baseline after TSD,17–22 while others found no significant changes.23 Similarly, some studies using PSR have found that inhibition control is decreased significantly after sleep loss.24–28 However, some other studies found no significant changes in inhibition control after PSR.29,30

Several factors may contribute to the inconsistencies in the literature. For example, some sleep deprivation studies were conducted outside of the laboratory,24,27,28 and many confounding variables (eg, room temperature, noise, interactions with family members) may not have been well controlled. Moreover, different task paradigms and lengths of sleep deprivation or sleep restriction protocols have been used in previous studies.25–31 For example, one ERP study used the Go/No-Go ERP paradigm and found that accuracy of detection of the rarely occurring Go and No-Go stimuli significantly declined after 24 h and 36 h of continued wakefulness. Moreover, the amplitudes of both the Go and No-Go P300 components were also significantly reduced after 24 h and 36 h of continuous wakefulness, suggesting that sleep deprivation may not have a specific effect on inhibition.32 In contrast, another study explored the effect of noise-induced sleep disturbances on inhibition functions in a visual Go/No-Go task and found that decision processes underlying overt responses were less vulnerable to disturbed sleep than inhibition processes.33 Since the underlying mechanisms that drive the adverse effects of TSD and PSR may not be the same,34 more rigorous laboratory studies are needed to investigate the effects of both TSD and PSR on inhibition control.

In addition to inhibition control, many studies have consistently demonstrated the detrimental effects of sleep loss on a range of other cognitive domains, such as attention and working memory. Although the sensitivity of cognitive tasks to sleep deprivation varies widely,35 previous studies have shown that both TSD and PSR yield significant impairments in vigilant attention.2,7,8,36–39 Because vigilant attention is essential for high-level cognition functions and is most susceptible to sleep deprivation, it has been proposed that vigilant attention may be the fundamental factor that explains much of the variance in other cognitive deficits following sleep deprivation.40 This hypothesis highlights the importance of vigilant attention and suggests that high-level cognitive functions will be impaired if an individual is not sufficiently vigilant to perform a task.40–42 Although this hypothesis has existed for years, few studies have explicitly examined the relationships between vigilant attention and performance on the inhibition control tasks under conditions of sleep loss.

The aims of the present study were to examine the effects of both TSD and PSR on inhibition control and determine whether impairments in inhibition control induced by TSD and PSR can be explained by deficits in vigilant attention, testing the Vigilance Hypothesis.33 The data for the current analyses were derived from two separate sleep deprivation experiments. Experiment 1 examined the effects of one night of TSD on inhibition control and the relationship between inhibition control and vigilant attention following TSD. We hypothesized that (1) after a night of TSD, inhibition control and vigilant attention would be significantly impaired when compared to baseline sleep; and that (2) changes in inhibition control would be correlated with changes in vigilant attention after TSD. Experiment 2 investigated the effects of two nights of PSR on inhibition control and the relationship between inhibition control and vigilant attention. Similarly, we hypothesized that (1) compared with baseline, the level of individual inhibition control and vigilant attention would decrease under PSR, with greater deficits observed after two nights of PSR; and that (2) deficits in individual inhibition control would also be correlated with deficits in vigilant attention after PSR.

Materials and Methods

Experiment 1: Effects of TSD on Inhibition Control

Participants

A total of 65 healthy adults participated in the experiment. Forty-nine of these adults (mean age 34.1 ± 8.7 years, 18 females, all right-handed) participated in the TSD condition, and 16 (mean age 35.7 ± 8.6 years, seven females, all right-handed) participated in the control group study. All participants were nonsmokers and had no acute or chronic medical and psychological conditions. As assessed by circadian rhythm questionnaires43 and actigraphy, all participants had a regular bedtime (22:00–00:00) and wake time (06:00–09:00) with a total sleep time duration of 6.5 to 8 hours, and no habitual napping. Individuals were excluded if they participated in shift work, traveled across time zones, or had irregular sleep-wake routines in the 60 days before the study. Individuals with sleep disorders were excluded by a night of laboratory polysomnography and oximetry measurements. Bedtimes and wake times of enrolled participants were assessed by actigraphy, sleep logs, and time-stamped call-ins during the week before and after the laboratory stay. No caffeine, alcohol, tobacco, or medications (except oral contraceptives) were permitted in the week before and during the study. This study was conducted in accordance with the Declaration of Helsinki and was approved by the Institutional Review Board of the University of Pennsylvania. All participants provided written informed consent before enrollment and were compensated for their time.

Procedure

The laboratory protocol lasted five consecutive days and four nights, but for this report, only data from the first three days and two nights were used. Some other data from the study have been published in earlier articles.44,45 All participants were required to stay in the controlled laboratory room at the Center for Human Phenomic Science at the Hospital of the University of Pennsylvania, where they were monitored by trained staff throughout the study. They were required to arrive at the laboratory on the afternoon of Day 1. They were provided with a 9-hour time in bed (TIB) sleep opportunity (from 21:30 to 06:30) on the first night to allow for habituation to an unfamiliar sleep environment. On the second night, participants in the TSD group were asked to remain awake throughout the whole night, while participants in the control group were provided with an 8-hour TIB opportunity for sleep. This was followed by two consecutive nights of recovery sleep opportunity, which are not included in the present report. All participants completed cognitive testing every 2 hours during wakefulness. Specifically, on the Day 2 and Night 2, the TSD group participants were tested at 10:00, 12:00, 14:00, 16:00, 18:00, 20:00, 22:00, 0:00, 02:00, 04:00, and 06:00, and the control group was tested at 10:00, 12:00, 14:00, 16:00, 18:00, 20:00, and 22:00. On Day 3, the TSD group participants were tested at 10:00, 12:00, 14:00, and 18:00, and the control group was tested at 10:00, 12:00, 14:00, 16:00, 18:00, 20:00, and 22:00. The specific experimental protocol is graphically shown in Figure 1A. In order to compare with the results from Experiment 2, we selected the average values of the three test bouts at 10:00, 14:00 and 18:00 as the analysis index.

Figure 1.

Figure 1

(A) Experimental protocol for experiment 1 (total sleep deprivation group and normal sleep/control group); (B) Experimental protocol for experiment 2 (partial sleep restriction).

The Psychomotor Vigilance Test (PVT)

The PVT is a highly sensitive and widely used test for assessing vigilant attention in sleep deprivation studies.37,46 During the test, participants were asked to maintain their attention on a red-outlined rectangle in the center of a black computer screen and press the space keyboard in response to a cue (millisecond counter) that is presented at random (ranging from every 2 to 10 seconds). The millisecond counter stops after the participant presses the button and stays on the screen for an extra second to allow a participant to see his/her last reaction time. We used the standard 10-minute PVT for the study. It requires participants to respond as quickly and accurately as possible, but to avoid false starts (premature responses).47 Not responding to the PVT numeric light stimulus within 30 seconds is considered as a timeout and responding when no stimulus is present is considered as a false start. When a false start or a timeout occurs, the corresponding text appears on the screen for 1 second before the end of the trial. Median reaction time, the average reaction time, and the number of lapses (defined as any RT longer than 500 ms) were obtained from the PVT performance. Longer reaction times and greater lapses were indicative of decreased vigilant attention.

The Go/No-Go Task

The Go/No-Go task is the most common paradigm for measuring inhibition control. At the beginning of the test, a fixation point appeared on the screen (presented for 1000 ms), followed by a stimulus of “x” or “+” (presented for 100 ms). Participants were asked to press the “space” key immediately after seeing the “+”, but not to respond to the “x”. The maximum allowed reaction time window in which participants could respond was 1500ms. There was a total of 60 trials for this task, of which the Go stimulus (ie, the “+” stimulus that participants should respond to) accounted for 75%, and the No-Go stimulus (ie, the “x” stimulus that participants should not react to) accounted for 25%. Participants saw the following instructions: “Please focus on the central square, and press space to respond to ‘+’ and do not respond to ‘x’. Please respond quickly and correctly”. Each participant practiced the cognitive task before the experiment to ensure he/she fully understood the instructions. Errors of commission (No-Go errors), errors of omission (Go errors), and the average response time to the Go stimulus (Go RT) were obtained from the Go/No-Go task performance. More errors of commission and omission and slower Go RT were indicative of impaired inhibition control.

Data Analyses

For the TSD study, a paired sample t-test was used to compare vigilant attention and inhibition control performance between the baseline and following sleep deprivation. Correlation analysis, the Benjamini-Hochberg False Discovery Rate (FDR) correction, and linear regression analyses were used to examine the relationships between the changes in inhibition control and vigilant attention. For the control group, a paired sample t-test was used to compare the vigilant attention and inhibition control performance between the baseline and the corresponding day of TSD.

Experiment 2: Effects of PSR on Inhibition Control

Participants

A total of 16 healthy subjects (mean age 19.8 ± 1.2 years, 9 males) participated in this experiment. All participants were screened and had no history of physical or mental illness, no habitual use of drug, alcohol, or caffeine, no shift work or travel across time zones, no habitual napping, and had regular sleep-wake schedules. The screening questionnaires included Morning and Evening Questionnaire-19,48,49 Pittsburgh Sleep Quality Index,50–52 Self-rating Anxiety Scale,53,54 General Health Questionnaire,55,56 and Beck Depression Inventory.57 Before the study, participants wore an actigraph and completed a sleep log every day for one week. Data from actigraphy and sleep logs showed that on average participants had a bedtime of 23:41 ± 17min, a waking time of 07:38 ± 24 min, and sleep duration of 7.95 ± 0.54 h. More detailed information for the participants is shown in Table 1. This study was conducted in accordance with the Declaration of Helsinki and was approved by the ethics committee of South China Normal University. All participants carefully read and signed the informed consent after knowing the specific process of the experiment and were compensated after the experiment.

Table 1.

Demographic Information for the Participants in the PSR Experiment

Minimum Maximum Mean Standard Error
Age (years) 18 22 19.81 1.22
BMI (kg/m2) 18.52 23.84 20.35 1.69
MEQ 42 58 53.44 4.80
GHQ 11 20 18.25 2.52
SAS 29 40 35.31 3.30
PSQI 0 5 3.06 1.84
BDI 0 5 2.44 2.06

Abbreviations: MEQ, Morningness-Eveningness Questionnaire-19; GHQ, General Health Questionnaire; SAS, Self-rating Anxiety Scale; PSQI, Pittsburgh Sleep Quality Index; BDI, Beck Depression Inventory.

Procedure

Participants slept in the laboratory for four consecutive nights. The first night was an adaptation night with a TIB sleep opportunity of 9 hours, which allowed participants to become familiarized with the sleeping environment. The second night was a baseline night with a TIB sleep opportunity of 8 hours. The third night and fourth nights were two sleep restriction nights, with 6 hours TIB each night. Only data from the last three nights were included in the formal experimental analysis. Participants arrived at the laboratory 3 hours ahead of bedtime every night for experimental preparation (including taking a shower, placing electrodes for polysomnography (PSG), completing cognitive tasks, and filling out questionnaires). The next morning, participants filled out surveys and completed the cognitive tasks. The participants were then allowed to leave the lab and then returned to the laboratory at 15:00 to complete cognitive tasks and questionnaires. They were free for the rest of the day until 3 hours before bedtime, at which point they returned to the laboratory. Mobile phones, pads, and other self-photogenic electronic devices were not allowed during the experiment. The specific experimental protocol is shown in Figure 1B. We used the average of these three measurements (evening, the next morning, the next afternoon) as an analysis indicator.

The Psychomotor Vigilance Test (PVT)

The PSR study used a slightly different 10-minute PVT task, in which a black triangle (ie, a stimulus) appeared on the computer screen at random times, with the stimulus presenting for 1s and the stimulus interval ranging between 2s-10s. Participants were asked to press the button to respond immediately after seeing the stimulus. Similar to the TSD study, median reaction time, the average reaction time, and the number of lapses were obtained from the PVT performance.

The Go/No-Go Task

A slightly different Go/No-Go task was used to measure inhibition control in the PSR study. In this task, a fixation point “+” appeared on the screen, followed by a circle or a square stimulus. The stimulus was presented for 500 ms, and the participants were required to press the “G” key immediately after seeing the circle but were asked not to respond after seeing the square. There was a total of 120 trials for this task, of which Go trials accounted for 75% and No-Go trials for 25%. Similar to the TSD study, errors of commission (No-Go errors), errors of omission (Go errors), and the average response time to the Go stimulus (Go RT) were obtained from the Go/No-Go task performance.

Data Analysis

For the PSR study, repeated measurement analyses of variance (ANOVA) were used to compare vigilant attention and inhibition control performance between the baseline day, after one night of PSR, and after two nights of PSR. Correlation analysis, the Benjamini-Hochberg FDR correction, effect size, and linear regression analysis were used to analyze the relationship between the changes in inhibition control and vigilant attention. All the statistical analyses were conducted by SPSS 22.0 software.

Results

Go/No-Go Results

Go/No-Go Performance Under TSD Condition

As shown in Figure 2A, the mean Go RT (t (48) = −2.419, p = 0.019, Cohen’s d = 0.346) and errors of omission (t (48) = −3.545, p < 0.001, Cohen’s d = 0.506) significantly increased after one night of TSD compared to the baseline. There was also a marginal increase in errors of commission after TSD relative to baseline (t (48) = −1.949, p = 0.057, Cohen’s d = 0.278).

Figure 2.

Figure 2

Effects of TSD (Experiment 1) and PSR (Experiment 2) on inhibition control (Mean ± SE) ((A) Go/No-Go performance under TSD condition; (B) Go/No-Go performance under CON condition; (C) Go/No-Go performance under PSR condition).

Notes: *p < 0.05; ***p < 0.001.

Abbreviations: PSR, partial sleep restriction; TSD, total sleep deprivation; CON, normal sleep (the control study); SE, standard error of the mean; d1, day 1 in control group (baseline); d2, day 2 in control group (control).

Go/No-Go Performance Under Control Condition

As shown in Figure 2B, there were no significant differences in the mean Go RT, errors of omission, and errors of commission between the two test days (all p > 0.05) for the control group without sleep loss.

Go/No-Go Performance Under PSR Condition

As shown in Figure 2C, there was a significant main effect of PSR for both the Go RT (F (2, 30) = 4.042, p = 0.028, η2p = 0.212) and errors of omission (F (2, 30) = 4.599, p = 0.018, η2p = 0.235), while the main effect on errors of commission was not significant (F (2, 30) = 0.482, p = 0.623, η2p = 0.031). Post-hoc paired t-tests showed that the Go RT was significantly increased after both one night of PSR (t (15) = −2.470, p = 0.026, Cohen’s d = 0.617) and two nights of PSR compared to the baseline (t (15) = −2.393, p = 0.030, Cohen’s d = 0.598). Meanwhile, errors of omission demonstrated a marginal increase after one night of PSR (t (15) = −2.052, p = 0.058, Cohen’s d = 0.513) and a significant increase after two nights (t (15) = −2.583, p = 0.021, Cohen’s d = 0.646). For errors of commission, there was no significant difference between baseline and one or two nights of PSR (all p > 0.05).

PVT Results

PVT Performance Under TSD Condition

As shown in Figure 3A, the median RT (t (48) = −8.479, p < 0.001, Cohen’s d = 1.211), mean RT (t (48) = −3.982, p < 0.001, Cohen’s d = 0.569), and number of lapses (t (48) = −7.926, p < 0.001, Cohen’s d = 1.132) on the PVT significantly increased after one night of TSD compared to the baseline.

Figure 3.

Figure 3

Effects of TSD (Experiment 1) and PSR (Experiment 2) on vigilant attention (Mean ± SE) ((A) PVT performance under TSD condition; (B) PVT performance under CON condition; (C) PVT performance under PSR condition).

Notes: *p < 0.05; **p < 0.01; ***p < 0.001.

Abbreviations: PSR, partial sleep restriction; TSD, total sleep deprivation; CON, normal sleep (the control study); SE, standard error of the mean; d1, day 1 in control group (baseline); d2, day 2 in control group (control).

PVT Performance Under Control Condition

As shown in Figure 3B, there was no significant difference in the number of lapses between the two test days (t (15) = 1.638, p = 0.12). However, the median RT (t (15) = 3.098, p = 0.007, Cohen’s d = 0.774) and mean RT (t (15) = 2.305, p = 0.036, Cohen’s d = 0.576) were significantly reduced on the second test day as compared to the baseline day.

PVT Performance Under PSR Condition

There were significant main effects of sleep loss on the median RT (F (2, 30) = 8.120, p = 0.002, η2p = 0.351) and number of lapses (F (2, 30) = 9.766, p = 0.001, η2p = 0.394). However, the main effect of sleep loss on mean RT was not significant (F (2, 30) = 2.041, p = 0.148, η2p = 0.120). Post-hoc paired t-tests showed that median RT and number of lapses both significantly increased after one night (for median RT, t (15) = −3.390, p = 0.004, Cohen’s d = 0.848; for number of lapses, t (15) = −2.807, p = 0.013, Cohen’s d = 0.702) or two nights of PSR (for median RT, t (15) = −3.711, p = 0.002, Cohen’s d = 0.928; for number of lapses, (t (15) = −4.121, p < 0.001, Cohen’s d = 1.030; see Figure 3C) as compared to the baseline.

Correlations Between Changes in Go/No-Go Task and Changes in the PVT

The results from correlation analyses of PVT and Go/Go/No-Go task data for the TSD group are shown in Figure 4AC and listed in Table 2A. There were significant positive correlations between the Δ lapses of the PVT and the Δ errors of omission of the Go/No-Go task (Figure 4A, Pearson r = 0.352, p = 0.013; Spearman rho = 0.430, p = 0.002), the Δ median RT of PVT and the Δ errors of omission of the Go/No-Go task (Figure 4B, Pearson r = 0.290, p = 0.043; Spearman rho = 0.315, p = 0.027) after one night of TSD. The changes in the mean RT of PVT also significantly positively correlated with the changes in the errors of omission of the Go/No-Go task (Figure 4C, Pearson r = 0.425, p = 0.002; Spearman rho = 0.501, p = 0.000). Then, we performed FDR multiple corrections for all Pearson correlation analysis results using the Benjamini-Hochberg procedure (BH), which is the most commonly used method for FDR correction.58 The results after correction were basically consistent with the results before correction. There were significant positive correlations between changes in the PVT mean RT and changes in errors of omission of the Go/No-Go task (r = 0.42, FDR = 0.009) after one night of TSD. The Δ lapses of the PVT were significantly positively correlated with the Δ errors of omission of the Go/No-Go task (r = 0.35, FDR = 0.039), and there was a trend of positive correlation between the changes in PVT median RT and the changes in errors of omission on the Go/No-Go task (r = 0.29, FDR = 0.093). However, there were no significant associations between changes in the PVT performance and changes in the Go RT and errors of commission of the Go/No-Go task (all p > 0.05). The changes of PVT mean RT explained about 18.0% of the changes of the Go RT, whereas the changes of PVT median RT and number of lapses explained about 8.4% and 12.4% of the changes of errors of omission in the Go/No-Go task, respectively.

Figure 4.

Figure 4

Scatter plot of changes in PVT and Go/No-Go task under TSD (Experiment 1) and PSR (Experiment 2) ((AC) under TSD; (D) under 2nd night of PSR). R2 and p values are from regression analyses.

Abbreviations: PSR, partial sleep restriction; TSD, total sleep deprivation; CON, normal sleep (the control study).

Table 2.

Pearson Correlation and Spearman Correlation Between the Change in the Go/No-Go Task and PVT After (A) Total Sleep Deprivation and (B) Partial Sleep Restriction

Go/No-Go PVT
Median RT Mean RT Lapses
(A) after TSD
Δ (total sleep deprivation-baseline) Go RT
Pearson r 0.183 0.077 0.254
Spearman rho 0.230 0.199 0.230
Errors of omission
Pearson r 0.290* 0.425** 0.352*
Spearman rho 0.315* 0.501*** 0.430**
Errors of commission
Pearson r 0.162 0.030 0.064
Spearman rho 0.161 0.105 0.083
(B) after PSR
Δ (1st sleep restriction -baseline) Go RT
Pearson r 0.008 0.007 0.039
Spearman rho 0.034 0.241 0.143
Errors of omission
Pearson r 0.421 0.451# 0.025
Spearman rho 0.178 −0.050 −0.006
Errors of commission
Pearson r 0.189 −0.237 0.150
Spearman rho 0.213 −0.015 0.094
Δ (2nd sleep restriction -baseline) Go RT
Pearson r 0.487# 0.341 0.247
Spearman rho 0.400 0.418 0.280
Errors of omission
Pearson r −0.055 0.074 −0.187
Spearman rho −0.094 −0.059 −0.001
Errors of commission
Pearson r −0.036 −0.001 0.167
Spearman rho 0.088 0.195 0.282

Notes: *p < 0.05; **p < 0.01; ***p < 0.001; #p < 0.1.

Abbreviations: TSD, total sleep deprivation; PSR, partial sleep restriction.

The results from correlation analyses of PVT and Go/Go/No-Go task data for the PSR group are shown in Figure 4D and listed in Table 2B. After two nights of PSR, there was also a trend of positive correlation between the changes in PVT median RT and the changes in the Go RT on the Go/No-Go task (Figure 4D, Pearson r = 0.487, p = 0.056; Spearman rho = 0.400, p = 0.125). Regression analysis showed that after two nights of PSR, the changes in PVT median RT explained about 23.7% of the changes in the Go RT on the Go/No-Go task.

Discussion

This study investigated the effects of both TSD and PSR on inhibition control and further examined whether changes in vigilant attention were associated with the changes in inhibition control after sleep loss. We found that both TSD and PSR negatively affected the levels of inhibition control and the levels of vigilant attention; and that the impairment of inhibition control after sleep loss was significantly correlated with a decline in vigilant attention.

Effects of TSD and PSR on Inhibition Control

After two nights of PSR or one night of TSD, there were significant increases in both the Go RT and errors of omission in the Go/No-Go task, compared with no significant change in performance seen in the control group. In addition, errors of omission tended to increase after the first night of PSR and further increased after two nights of PSR. This is most likely due to the gradual increase in the accumulation of deficits related to sleep loss as sleep restriction continued. Also, errors of commission did not change significantly after one or two nights of PSR. However, there was a marginal increase after TSD, while an opposite downward trend was observed in the control group. This suggests that changes in errors of commission were unmasked only with higher sleep pressure induced by TSD. In contrast, changes in the control group may be due to the dissipation of existing sleep debt, since a similar trend was also observed in the control group on the PVT results.

The Go RT and errors of omission were affected by both TSD and PSR, but errors of commission were not affected by either sleep condition. This might be explained by the “controlled attention” model,59 which suggests that tasks that are monotonous or intrinsically less engaging are more severely affected by sleep deprivation because greater top-down control is required to sustain optimal performance on these tasks. This model has been supported by other studies.60 It is possible that the errors of commission may reflect a compensatory effort of the participants in the current study. Specifically, the process of errors of commission was less monotonous and required more controlled attention, leading this measure to be less affected by sleep deprivation.

In addition, the Go stimulus represents response selection, and the No-Go stimulus represents response inhibition. Previous studies suggest that the neural correlates of two processes may have some overlap.61 For example, an animal study reported that some of the rostral portions of the supplementary motor area (pre-SMA) neurons responded to the Go stimulus (Go type), some neurons responded to the No-Go stimulus (No-Go type), and some neurons responded to both. Further analyses demonstrated that the No-Go and dual-type neurons were activated earlier than the Go neurons, suggesting that the process of reaction selection involves first the inhibition of other reactions and then the selection of new reactions.62 Similar findings were also reported in human experiments.63,64 Taken together, these studies suggested that the Go stimulus is intended to create a dominant tendency of response, which requires inhibition in the presence of No-Go stimuli.10 In this study, the Go RT and errors of omission belong to the process of reaction selection, while errors of commission belong to the process of reaction inhibition. The increase in Go RT and the decrease in the errors of omission indicate the impairment of inhibition control function. However, there was no significant increase in the errors of commission. One possible explanation for this finding is that there may be a practice effect for the No-Go stimulus; similar to what was observed in the control group, in which the errors of commission on the second normal night tended to decrease compared with the first baseline night (p = 0.055).

The results of impaired inhibition control after both TSD and PSR are consistent with most previous studies.17–19,24–27,31 For example, in a meta-analysis, a total of 15 studies were included to assess the effect of sleep restriction on inhibition control, and the results showed that sleep deprivation had a small to moderate negative impact on inhibition control.14 In another study in which 12 participants spent 14 days in the laboratory with 2 baseline days followed by 7 days of partial sleep restriction and 3 recovery days, researchers observed a significant sleep restriction effect on errors of commission in the Go/No-Go task.18 However, a few studies have found no significant changes in individuals’ levels of inhibition control after TSD or PSR.23,28,41 For example, some researchers posit that sleep deprivation does not affect inhibition per se, but rather affects a supervisory attentional process, which is regarded as an active effort to cope with a complex task.65 Comparing these studies, we postulate that the inconsistent effects of sleep deprivation on higher cognitive function may be due to confounding factors such as mood, motivation, task difficulty, and complexity. In addition, the final performance result often depends on the interaction of individual characteristics, sensory perception, alertness, working memory, and decision-making, etc. One study found that individuals with longer sleep habits are more susceptible to PSR than those with shorter sleep habits.27 In conclusion, we found sleep deprivation negatively impacted the level of inhibition control in this experiment.

Effect of TSD and PSR on Vigilant Attention

Median RT and the number of lapses on the PVT both increased significantly after one and two nights of PSR and after a night of TSD. A similar result was found for mean RT, which increased significantly after two nights of PSR and one night of TSD. In contrast, in the control group, the median RT and mean RT was significantly reduced after the second night of normal sleep compared to baseline sleep on the first night, while the number of lapses was not significantly changed. This finding is not likely due to practice effects as there are few, if any, practice effects on the PVT. We speculate that the faster reaction time in the control group may be due to two possible reasons. One potential reason may be the dissipation of previous sleep debt during sufficient sleep opportunity, and another one could be that the participants were more comfortable with the environment on the second night than the first night. These results confirm our hypothesis that both TSD and PSR on average impair an individual’s level of vigilant attention and are consistent with the results of most previous studies.2,7,8,66–70

Overall, the decline in vigilant attention seems to be the most consistent robust result of the negative effects of sleep deprivation. Previous studies demonstrated that performance on attention tasks deteriorates in a dose-dependent manner with increased wakefulness, owing to the increasing sleep pressure.67,71 Numerous studies have investigated the neural mechanisms by which sleep deprivation affects vigilant attention.68 Decreased level of vigilant attention following sleep deprivation has been associated with reductions in fMRI signals in the dorsolateral prefrontal cortex (DLPFC) and intraparietal sulcus.38,72–74 Under sleep deprivation, attention performance is usually maintained when thalamus activity increases, and absent when thalamus activity decreases significantly.39,72,75,76 Therefore, the thalamus could be an interacting node in the effects of sleep deprivation on vigilant attention.68 Other studies have found that after sleep deprivation, the midline anterior and posterior cortical regions of the default model network (DMN) cannot be completely disengaged during the attention tasks.74,77,78 Thus, instability of the DMN may also be associated with impaired attention caused by sleep deprivation.

Relationship Between Changes in Inhibition Control and Deficits in Vigilant Attention

The present results showed that changes in PVT performance following TSD or PSR accounted for a portion of the changes in the Go RT and errors of omission of the Go/No-Go task. This suggests that impairment of vigilant attention after sleep loss partially accounts for the effect of sleep deprivation on inhibition control and confirms, to some extent, the vigilance hypothesis.

We found that the change in errors of commission on the Go/No-Go task was not significantly correlated with the change in any of the PVT indicators. One possible explanation is that the Go RT and errors of omission associated with the change in vigilant attention belong to the response selection process, whereas errors of commission belong to the response inhibition process. Although the two processes overlap to a certain extent,9 they are not entirely independent. For instance, one previous study found a significant increase in errors of commission after PSR compared with the control group, while no significant difference was observed in the Go RT.27 In another study, researchers measured the reaction time and changes in blood flow when the participant performed the PVT and Go/No-Go tasks.79 While the PVT results showed increased blood flow in the left dorsolateral prefrontal cortex with a visual stimulus compared to an auditory stimulus, Go/No-Go task results suggested that, compared with auditory stimuli, the blood flow associated with visual stimuli increased on both sides of the inferior temporal gyrus and the right side of the inferior frontal gyrus.79 These findings suggest that inhibition control may be related to factors other than vigilance and processing speed.

Another potential explanation may be due to the speed/accuracy trade-off. The results indicate that there was no significant reduction in the commission errors after TSD or PSR in the present study, but the Go RT was progressively slower. This is consistent with the theory of the speed/accuracy trade-off.32,80,81 That is, participants were able to maintain the ability to withhold response to inhibition trails on the Go/No-Go task by slowing down throughout the task to maintain accuracy. In one previous study, thirteen participants completed a modified version of the PVT (Stop-PVT, measuring both response inhibition and sustained attention) at baseline and TSD.80 The results demonstrated that accuracy was not reduced during TSD. However, response times were significantly slower.80 In another study, eighteen subjects used a visual search task and PVT measurement in a shift work simulation protocol.81 The study results showed that the nighttime decrease in visual search sensitivity was most pronounced on the first night compared with subsequent nights. This was accompanied by a trend towards selective attention becoming “fast and sloppy”.81

In addition, there may be other pathways underlying the effects of sleep deprivation on inhibition control besides vigilant attention. First, while the PVT involves only one stimulus, the Go/No-Go task involves at least two stimuli. Some studies have used a Go/No-Go task that involves 26 letters,27 which inevitably uses working memory. Moreover, while the PVT requires participants to press a button immediately after seeing the stimulus, with no process of choice, the Go/No-Go task asks a participant to press the key only to the Go stimulus and not to the No-Go stimulus, which forces them to decide whether to press the button or not when a stimulus is present. As a result, the Go/No-Go task has a decision-making component inherent to it, which is absent in the PVT. Finally, inhibition control may be less sensitive to sleep changes than vigilant attention. For instance, one study demonstrated that six nights of sleep extension before sleep deprivation did not reduce inhibition control deficits during a total sleep deprivation period.18 By contrast, another study found that six nights of sleep extension was sufficient to reduce vigilant attention deficits related to total sleep deprivation.82 Therefore, the effects of sleep deprivation on inhibition control likely depend on the interaction of vigilant attention, working memory, decision making, and sensory perception, among other factors.

Limitations and Future Studies

Several limitations need to be considered for this study. First, the sample size of the PSR experiment was relatively small, which may affect the validity of the PSR conclusions to some extent. Second, we did not explore the neural mechanisms underlying the effects of sleep loss on inhibition control. Previous studies showed that sleep deprivation affects different tasks to different degrees, but the general principles behind these differences are not well understood. Some researchers found that, as was true for tasks of working memory and selective attention, DMN activity in the cortical regions of the episodic memory coding task was significantly different after sleep deprivation.83 Thus, the unstable control of DMN may be a common neurological deficit in the sleep-deprived human brain for a variety of cognitive tasks, including inhibition control. In addition, as the most severely impaired tests are those known to involve the prefrontal cortex, such as working memory tasks or executive function, some researchers have proposed the prefrontal cortex vulnerability hypothesis.22 On the other hand, a previous ERP study found that poor sleep specifically affected the intensity of pre-motor inhibitory processes (NoGo-N2 amplitude), the speed to inhibit a motor response (NoGo-P3 latency), and the intensity of task-relevant information processing (Go-P3 amplitude).15,84 Additional study showed there was a correlation between the NoGo-P3 and the final process of stopping an already partly activated but inadequate response.33 Future studies should explore this question to better understand the neural mechanisms underlying inhibition control after sleep deprivation.

Future studies should consider potential individual differences when studying the effects of sleep deprivation. For instance, one study found that the decline in alertness after sleep deprivation was influenced by different incentives, such that the more rewards an individual received, the less his or her attention level dropped after sleep deprivation.69 This suggests that the impact of sleep loss may be at least partially mitigated with sufficient motivation. Another study explored the blood oxygen level-dependent (BOLD) activation both in older adults and younger adults during the Go/No-Go task following a total of 36 hours of sleep deprivation and found that older adults reported greater BOLD activation compared to young adults.17 In addition, Grant et al found that Brain Derived Neurotrophic Factor (BDNF) Met allele carriers were more vulnerable to the effect of sleep deprivation on inhibition control when using the Stroop Color Naming Task as the measurement.85 Researchers also found that the adverse effects of sleep deprivation on inhibition control were more pronounced in individuals who spent more habitual time in bed at baseline.22 Additionally, tolerance or susceptibility to performance deficits following sleep loss may be associated with certain individual characteristics.86

Conclusion

In summary, both TSD and PSR impaired inhibition control during the Go/No-Go task and vigilant attention during the PVT. The decline in inhibition control following both forms of sleep loss was partly accounted for by impairment in vigilant attention. Findings from the present study support the vigilance hypothesis and raise the possibility that there may be other pathways underlying the effect of sleep deprivation on inhibition control besides vigilant attention.

Acknowledgments

This research was supported in part by the grants from National Institutes of Health (R01-HL102119, R01-MH107571, R21-AG051981, and CTRC UL1RR024134), Shanghai International Studies University Research Projects (Grant number 20171140020), Shanghai Post-doctoral Excellence Program (Grant number 2020367), China Postdoctoral Science Foundation (Grant number 2021M692150), National Natural Science Foundation of China (Grant Number 71942003), and South China Normal University. The funders had no role in the study design, data collection, and analysis, data interpretation, writing of the manuscript, or the decision to submit the article for publication.

Disclosure

Dr. Tianxin Mao reports grants from South China Normal University, during the conduct of the study. Dr. Olga Galli is an employee of Jazz Pharmaceuticals. The authors report no other conflicts of interest in this work.

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