Compensatory recruitment after sleep deprivation and the relationship with performance
Introduction
Recent studies have reported that total sleep deprivation (TSD) results in altered brain responses to cognitive challenges. For example, piston emission tomography studies have found decreased glucose metabolism during sustained attention tasks (Wu et al., 1991, Thomas et al., 2000). Functional magnetic resonance imaging (FMRI) studies have found both increased and decreased cerebral responses to cognitive tasks following TSD. Increased responses have been reported during verbal learning (Drummond et al., 2000), short-term attention (Portas et al., 1998), divided attention (Drummond et al., 2001), and grammatical reasoning tasks after TSD (Drummond et al., 2004). Decreased cerebral responses, on the other hand, have been reported in arithmetic (Drummond et al., 1999) and verbal (Mu et al., 2005a, Mu et al., 2005b) working memory tasks, while both increases and decreases have been reported during verbal (Chee and Choo, 2004, Habeck et al., 2004) and non-verbal (Bell-McGinty et al., 2004) item recognition tasks.
It is clear, then, that the brain's response to TSD is not homogenous across all tasks. We have argued that the increased activations seen after TSD represent compensatory recruitment of resources beyond those utilized after a normal night of sleep (NORM) (Drummond et al., 2000, Drummond et al., 2001, Drummond and Brown, 2001). On the other hand, decreases may reflect cognitive dysfunction associated with performance deficits after TSD. We have also postulated that cognitive task-related factors may predict whether, and where, the brain will show increased or decreased responses to cognitive challenges following TSD (Drummond and Brown, 2001).
One possible task demand that may influence cerebral responses during TSD is task difficulty. Two recent reports suggest greater task difficulty is more likely to elicit increased cerebral responses after TSD than is seen with easier tasks. We studied subjects who had undergone 35 h of TSD and who then performed a grammatical transformation task that contained sentences of multiple complexity, and therefore difficulty, levels. We reported the brain recruited more resources in response to increasing difficulty during TSD relative to the response seen after NORM (Drummond et al., 2004). Similarly, Chee and Choo reported that, after 24 h TSD, a verbal item recognition task requiring both maintenance and manipulation of information showed greater increases in activation relative to a similar task that required only maintenance (Chee and Choo, 2004). One limitation shared by these two studies is that the more difficult version of each test explicitly added task demands compared with the easier versions. In Drummond et al., increasing grammatical complexity required greater working memory capacity as well as increased manipulation of information. In Chee and Choo, the more difficult condition added manipulation of information to the maintenance demands of the easier condition. Therefore, it is possible that the increased cerebral recruitment following TSD related to these additional task demands rather than to difficulty, per se. Here, we manipulated the difficulty of a task without explicitly adding additional cognitive processes, thereby allowing a more direct test of whether compensatory recruitment is influenced by increasing task difficulty.
Another issue to consider is whether changes in cerebral responses with TSD are beneficial. Increased brain responses after TSD could be interpreted either as compensatory recruitment benefiting performance or as interfering with cognitive performance. One way to address this issue is to examine the relationship between individual differences in cognitive performance and cerebral responses after TSD.
Here, we examined the interaction of task difficulty and state (TSD vs. NORM) in a relatively large group of subjects (n = 32) by manipulating task difficulty without adding additional cognitive processes. Our hypothesis was that increased difficulty would augment compensatory recruitment after TSD. Another hypothesis was that performance would be positively correlated with the FMRI blood oxygen level dependent (BOLD) response in regions showing an effect of TSD.
Section snippets
Subjects
A total of 35 subjects drawn from two separate but concurrent studies (17 from one study and 18 from the other) were enrolled. One was excluded because of excessive movement during scanning on the TSD night, one was excluded because of FMRI artifact related to dental work, and one was excluded due to the subsequent discovery of eligibility violations. Thus, a total of 32 subjects, 16 from each study, are reported here (14 F; mean ± standard deviation, age = 27.6 ± 6.6 years; education = 15.5 ± 1.5).
Behavioral data
The performance ANOVA revealed that delayed free recall scores (Table 1) showed both night (P = 0.05) and word (P < 0.001) effects, but no interaction (P = 0.383). Subjects recalled more EASY than HARD words, and they recalled more words following NORM than following TSD. As can be seen in Table 1, while these effects are significant, they are relatively small. Recognition memory (determined with the discriminability index d′) showed a significant effect of night (P = 0.004) and of word (P = 0.009), but
Discussion
To our knowledge, this is one of the largest studies to date (n = 32) in which FMRI was utilized to study the neurophysiological consequences of TSD. We used a verbal learning task to test whether the cerebral response to cognitive challenges after 36 h TSD is affected by task difficulty, per se, as we previously hypothesized. We found that activation, defined by the FMRI BOLD signal, during memorization of EASY words was equivalent after TSD and after NORM. However, the cerebral response
Acknowledgements
This study was supported by the American Sleep Medicine Foundation (Award 01-01-01), Cephalon, Inc., UCSD GCRC (RR00827) and MH-T32-18399. We thank Jennifer Salamat for invaluable assistance in running the study, and J. Christian Gillin, MD, for theoretical and methodological advice.
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2021, Biochemical PharmacologyCitation Excerpt :Notwithstanding, SD-related social interaction deficits might to some extent be compensated by recruiting resources beyond those utilized after a normal night of sleep, a compensatory phenomenon usually accompanied by stronger or more extended brain activity [17] (but see e.g. [18] for decreased brain activity after SD) and increased intrinsic brain connectivity [19–21]. Hence, according to the compensatory recruitment hypothesis [17], the sleep-deprived brain would exhibit compensatory neural activity that enable relatively preserved behavioural performance, including learning. It is worth noticing that at least partially shared brain networks encompassing fronto-temporo-parietal regions subtend compensatory recruitment [17,20] and social cognition [22,23].
- 1
Department of Psychiatry, 116A, UCSD/VASDHS, 3350 La Jolla Village Dr., San Diego, CA 92161, USA.
- 2
Department of Psychology, 116B, UCSD/VASDHS, 3350 La Jolla Village Dr., San Diego, CA 92161, USA.