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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Behav. Neurosci.</journal-id>
<journal-title>Frontiers in Behavioral Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Behav. Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1662-5153</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnbeh.2021.777799</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Behavioral Neuroscience</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Roles for Sleep in Neural and Behavioral Plasticity: Reviewing Variation in the Consequences of Sleep Loss</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Weiss</surname> <given-names>Jacqueline T.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Donlea</surname> <given-names>Jeffrey M.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/230977/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Neurobiology, David Geffen School of Medicine at University of California, Los Angeles</institution>, <addr-line>Los Angeles, CA</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>Neuroscience Interdepartmental Program, University of California, Los Angeles</institution>, <addr-line>Los Angeles, CA</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Kenta Asahina, Salk Institute for Biological Studies, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Giorgio F. Gilestro, Imperial College London, United Kingdom; Amanda Jean Crocker, Middlebury College, United States</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Jeffrey M. Donlea <email>jdonlea&#x00040;ucla.edu</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Individual and Social Behaviors, a section of the journal Frontiers in Behavioral Neuroscience</p></fn></author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>01</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>15</volume>
<elocation-id>777799</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>09</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>12</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Weiss and Donlea.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Weiss and Donlea</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Sleep is a vital physiological state that has been broadly conserved across the evolution of animal species. While the precise functions of sleep remain poorly understood, a large body of research has examined the negative consequences of sleep loss on neural and behavioral plasticity. While sleep disruption generally results in degraded neural plasticity and cognitive function, the impact of sleep loss can vary widely with age, between individuals, and across physiological contexts. Additionally, several recent studies indicate that sleep loss differentially impacts distinct neuronal populations within memory-encoding circuitry. These findings indicate that the negative consequences of sleep loss are not universally shared, and that identifying conditions that influence the resilience of an organism (or neuron type) to sleep loss might open future opportunities to examine sleep&#x00027;s core functions in the brain. Here, we discuss the functional roles for sleep in adaptive plasticity and review factors that can contribute to individual variations in sleep behavior and responses to sleep loss.</p></abstract>
<kwd-group>
<kwd>sleep</kwd>
<kwd>plasticity</kwd>
<kwd>review</kwd>
<kwd>memory</kwd>
<kwd><italic>Drosophila</italic></kwd>
</kwd-group>
<contract-sponsor id="cn001">National Institutes of Health<named-content content-type="fundref-id">10.13039/100000002</named-content></contract-sponsor>
<counts>
<fig-count count="2"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="181"/>
<page-count count="12"/>
<word-count count="11290"/>
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</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Sleep is a physiological state that has been conserved across evolution, even noted in invertebrates lacking a centralized brain (Hendricks et al., <xref ref-type="bibr" rid="B55">2000</xref>; Shaw et al., <xref ref-type="bibr" rid="B134">2000</xref>; Zhdanova et al., <xref ref-type="bibr" rid="B180">2001</xref>; Raizen et al., <xref ref-type="bibr" rid="B121">2008</xref>; Singh et al., <xref ref-type="bibr" rid="B136">2014</xref>; Nath et al., <xref ref-type="bibr" rid="B104">2017</xref>). Although sleep&#x00027;s physiological functions remain poorly understood, sleep loss has been associated with deleterious effects on health and cognition (Rechtschaffen and Bergmann, <xref ref-type="bibr" rid="B125">1995</xref>; Dinges et al., <xref ref-type="bibr" rid="B31">1997</xref>; Durmer and Dinges, <xref ref-type="bibr" rid="B34">2005</xref>; Spiegel et al., <xref ref-type="bibr" rid="B142">2005</xref>; Banks and Dinges, <xref ref-type="bibr" rid="B8">2007</xref>; Knutson et al., <xref ref-type="bibr" rid="B76">2007</xref>; Grandner et al., <xref ref-type="bibr" rid="B47">2010</xref>). Sleep varies based on previous waking experience (Ganguly-Fitzgerald et al., <xref ref-type="bibr" rid="B43">2006</xref>; Huber et al., <xref ref-type="bibr" rid="B61">2007</xref>; Hanlon et al., <xref ref-type="bibr" rid="B51">2009</xref>; Keene et al., <xref ref-type="bibr" rid="B70">2010</xref>; Beckwith et al., <xref ref-type="bibr" rid="B9">2017</xref>; Kirszenblat et al., <xref ref-type="bibr" rid="B74">2019</xref>; Milinski et al., <xref ref-type="bibr" rid="B100">2021</xref>) throughout the lifespan (Roffwarg et al., <xref ref-type="bibr" rid="B127">1966</xref>; Kales et al., <xref ref-type="bibr" rid="B68">1967</xref>; Feinberg and Carlson, <xref ref-type="bibr" rid="B37">1968</xref>; Cauter et al., <xref ref-type="bibr" rid="B18">2000</xref>; Backhaus et al., <xref ref-type="bibr" rid="B7">2007</xref>; Dijk et al., <xref ref-type="bibr" rid="B30">2010</xref>; Feinberg and Campbell, <xref ref-type="bibr" rid="B38">2010</xref>; Carrier et al., <xref ref-type="bibr" rid="B17">2011</xref>; Vienne et al., <xref ref-type="bibr" rid="B160">2016</xref>; Mander et al., <xref ref-type="bibr" rid="B96">2017</xref>), and between species (Lyamin et al., <xref ref-type="bibr" rid="B93">2008</xref>, <xref ref-type="bibr" rid="B94">2017</xref>, <xref ref-type="bibr" rid="B92">2018</xref>; Siegel, <xref ref-type="bibr" rid="B135">2008</xref>; Lesku et al., <xref ref-type="bibr" rid="B82">2012</xref>), suggesting that sleep has multiple functions. However, because sleep coincides with broad changes in neurophysiology and necessitates a loss of consciousness with reduced responsiveness to external threats, it is likely that sleep evolved, at least in part, to support brain function (Rasch and Born, <xref ref-type="bibr" rid="B122">2013</xref>; Tononi and Cirelli, <xref ref-type="bibr" rid="B154">2014</xref>). Notably, sleep is often elevated during periods of synaptic reorganization, including early development (Roffwarg et al., <xref ref-type="bibr" rid="B127">1966</xref>; Shaw et al., <xref ref-type="bibr" rid="B134">2000</xref>; Kayser et al., <xref ref-type="bibr" rid="B69">2014</xref>), recovery from neural injury (Singh and Donlea, <xref ref-type="bibr" rid="B137">2020</xref>; Stanhope et al., <xref ref-type="bibr" rid="B143">2020</xref>), and memory consolidation (Walker et al., <xref ref-type="bibr" rid="B167">2002</xref>; Ganguly-Fitzgerald et al., <xref ref-type="bibr" rid="B43">2006</xref>). These findings each suggest that sleep supports plastic remodeling in the brain. Synaptic plasticity allows behavioral flexibility in response to external stimuli, and enables the processing and storage of information (Hughes, <xref ref-type="bibr" rid="B62">1958</xref>; Zucker and Regehr, <xref ref-type="bibr" rid="B181">2002</xref>; Cooke and Bliss, <xref ref-type="bibr" rid="B24">2006</xref>). However, the underlying cellular and molecular mechanisms that support plasticity during sleep remain an area of intense investigation.</p>
<p>The impacts of sleep loss, interestingly, vary widely depending on age, environmental conditions, and genotype. While organisms typically recover from acute sleep disruptions relatively quickly, early-life sleep disruptions can prevent developmental plasticity during critical periods and result in long-lasting changes in circuit connectivity and behavior (Frank et al., <xref ref-type="bibr" rid="B40">2001</xref>; Seugnet et al., <xref ref-type="bibr" rid="B132">2011</xref>; Kayser et al., <xref ref-type="bibr" rid="B69">2014</xref>). Conversely, some individuals withstand sleep loss with few consequences depending on the physiological conditions or genetic factors (Viola et al., <xref ref-type="bibr" rid="B161">2007</xref>, <xref ref-type="bibr" rid="B162">2012</xref>; Lyamin et al., <xref ref-type="bibr" rid="B93">2008</xref>; Keene et al., <xref ref-type="bibr" rid="B70">2010</xref>; Thimgan et al., <xref ref-type="bibr" rid="B150">2010</xref>; Donlea et al., <xref ref-type="bibr" rid="B33">2012</xref>; Lesku et al., <xref ref-type="bibr" rid="B82">2012</xref>). In some cases, sleep disruption even provides an opportunity to weaken maladaptive memories (Poe, <xref ref-type="bibr" rid="B116">2017</xref>). Examining the variables that can influence an individual&#x00027;s sensitivity to sleep loss could provide new insights into the core mechanisms of sleep-dependent plasticity. In this review, we will discuss roles for sleep in the maintenance of neural and behavioral plasticity during development, and learning/memory. Finally, we outline ethologically relevant conditions in which organisms can maintain neural and behavioral plasticity in the face of sleep loss.</p>
</sec>
<sec id="s2">
<title>Development</title>
<p>Synaptic plasticity plays a crucial role in brain development, especially in the refining of neural connectivity through the process of pruning (Paolicelli et al., <xref ref-type="bibr" rid="B114">2011</xref>). Defects in synaptic pruning during development are thought to contribute to atypical circuit function seen in neurodevelopmental disorders (Paolicelli et al., <xref ref-type="bibr" rid="B114">2011</xref>; Konopaske et al., <xref ref-type="bibr" rid="B77">2014</xref>; Tang et al., <xref ref-type="bibr" rid="B147">2014</xref>; Coss&#x000ED;o et al., <xref ref-type="bibr" rid="B25">2017</xref>; Kim et al., <xref ref-type="bibr" rid="B73">2017</xref>; Neniskyte and Gross, <xref ref-type="bibr" rid="B105">2017</xref>). Daily sleep amounts peak in many species early in development, when the brain is undergoing significant plastic changes (Roffwarg et al., <xref ref-type="bibr" rid="B127">1966</xref>; Jouvet-Mounier et al., <xref ref-type="bibr" rid="B67">1970</xref>; Shaw et al., <xref ref-type="bibr" rid="B134">2000</xref>; Kayser et al., <xref ref-type="bibr" rid="B69">2014</xref>). Studies in humans have found that sleep disruption during development is associated with severe and lasting consequences for behavior and cognition (O&#x00027;Brien et al., <xref ref-type="bibr" rid="B108">2004</xref>; Halbower et al., <xref ref-type="bibr" rid="B50">2006</xref>; Ednick et al., <xref ref-type="bibr" rid="B35">2009</xref>). While these human studies provide a correlational link between impaired sleep and later cognition, several lines of animal studies described below indicate conserved roles for sleep in neurodevelopment of several species and begin to identify possible mechanisms by which sleep might influence brain development.</p>
<p>Rapid eye movement (REM) sleep is thought to play a particularly important role in development. Infants spend as much as 50% of their time asleep in REM, compared to 25% in adults (Roffwarg et al., <xref ref-type="bibr" rid="B127">1966</xref>; Jouvet-Mounier et al., <xref ref-type="bibr" rid="B67">1970</xref>). This period of increased REM sleep coincides with heightened formation and elimination of synapses in the developing mouse brain (Marks et al., <xref ref-type="bibr" rid="B98">1995</xref>). Previous work found that REM deprivation, but not non-REM (NREM) deprivation, prevents the elimination of newly-formed dendritic spines in layer V pyramidal neurons in the developing mouse motor cortex (Li et al., <xref ref-type="bibr" rid="B84">2017</xref>). Further, elimination of recent spines during REM facilitates the development of new spines at nearby sites. While most newly formed spines are eliminated, persistent spines are strengthened by REM sleep. Notably, similar findings were observed in the adult mouse brain following motor learning (Li et al., <xref ref-type="bibr" rid="B84">2017</xref>).</p>
<p>A unique feature of REM sleep is the occurrence of myoclonic twitches, or spontaneous, discrete, spastic movements of the limbs (Tiriac et al., <xref ref-type="bibr" rid="B153">2012</xref>; Blumberg et al., <xref ref-type="bibr" rid="B11">2013</xref>; Sokoloff et al., <xref ref-type="bibr" rid="B139">2020</xref>). These twitches occur throughout the mammalian lifespan, but are particularly abundant in infancy (Tiriac et al., <xref ref-type="bibr" rid="B153">2012</xref>; Blumberg et al., <xref ref-type="bibr" rid="B11">2013</xref>; Sokoloff et al., <xref ref-type="bibr" rid="B139">2020</xref>, <xref ref-type="bibr" rid="B138">2021</xref>). The development of myoclonic twitches depends on sensory feedback; the spatiotemporal organization of twitches is disrupted in newborn ErbB2 muscle-specific knockout mice which lack muscle spindles and exhibit impaired proprioception in adulthood (Blumberg et al., <xref ref-type="bibr" rid="B12">2015</xref>). Muscle spindles are sensory receptors that relay changes in the length of muscles to the central nervous system and are necessary for intact proprioception (Kr&#x000F6;ger and Watkins, <xref ref-type="bibr" rid="B79">2021</xref>). These findings suggest that twitches during sleep provide the developing brain with opportunities to refine immature sensorimotor maps and better coordinate limb movements. Twitching during early-life REM episodes, therefore, could facilitate the transformation of uncoordinated movements during infancy to the fine-tuned sensorimotor maps of an adult. Sensory feedback from twitching limbs are thought to contribute to motor learning and sensorimotor integration (Blumberg et al., <xref ref-type="bibr" rid="B11">2013</xref>, <xref ref-type="bibr" rid="B13">2020</xref>; Sokoloff et al., <xref ref-type="bibr" rid="B140">2015</xref>; Rio-Bermudez and Blumberg, <xref ref-type="bibr" rid="B126">2018</xref>; Glanz et al., <xref ref-type="bibr" rid="B45">2021</xref>), as reafference from myoclonic twitches selectively activates brain regions such as the thalamus, cortex, hippocampus, and cerebellum in infant rats (Khazipov et al., <xref ref-type="bibr" rid="B71">2004</xref>; Mohns and Blumberg, <xref ref-type="bibr" rid="B101">2010</xref>; Tiriac et al., <xref ref-type="bibr" rid="B153">2012</xref>; Sokoloff et al., <xref ref-type="bibr" rid="B140">2015</xref>). Because reafference signals from self-movement are gated during waking, sleep disruptions that interfere with twitching, and their corresponding neuronal activity may disrupt sensorimotor maturation (Tiriac and Blumberg, <xref ref-type="bibr" rid="B152">2016</xref>). While these studies provide an important and promising link between early-life sleep episodes and the development of mature sensorimotor representations, the underlying synaptic mechanisms and long-term consequences of myoclonic twitch disruptions remain to be characterized in detail.</p>
<p>A vital role for sleep in early life plasticity is shared across sensory circuits. The study of ocular dominance plasticity (ODP) induced by monocular deprivation (MD) in cats, for example, is a canonical model of critical period plasticity during development that is reliant upon sleep. During an early critical period for visual development, occluding one eye leads to enhanced visual cortex responses to inputs from the non-deprived eye (Hubel and Wiesel, <xref ref-type="bibr" rid="B59">1970</xref>). Sleep enhances ODP; NREM sleep deprivation prevents enhancement of cortical plasticity, suggesting that sleep is vital for consolidating experience-dependent changes in ocular dominance following MD (Frank et al., <xref ref-type="bibr" rid="B40">2001</xref>). More recent work has found that REM deprivation disrupts cortical plasticity after MD as well, perhaps by disrupting replay-like patterns of activity in the visual cortex (Bridi et al., <xref ref-type="bibr" rid="B14">2015</xref>). Additionally, REM sleep following MD is sufficient to prevent reversal of ODP following subsequent manipulations such as further SD (Bridi et al., <xref ref-type="bibr" rid="B14">2015</xref>), cortical inactivation (Jha et al., <xref ref-type="bibr" rid="B65">2005</xref>), and inhibition of NMDA receptors (Aton et al., <xref ref-type="bibr" rid="B5">2009</xref>). The dependence of ODP on REM sleep parallels studies of sensorimotor development described above, suggesting a vital role for REM sleep in permitting developmental refinement across sensory systems. The consolidation of ODP is also reminiscent of hippocampal memory consolidation during sleep (Diekelmann and Born, <xref ref-type="bibr" rid="B28">2010</xref>; Rasch and Born, <xref ref-type="bibr" rid="B122">2013</xref>). These studies suggest that sleep during development is necessary for the consolidation of plastic changes induced by waking experience, which likely guide appropriate behavioral adaptations to a changing environment. Since ODP (along with other forms of developmental plasticity) occurs during a tightly restricted critical period of development, sleep disruptions early in life could have long-lasting effects on neurophysiology and behavior.</p>
<p>Ontogenetic changes in sleep are conserved; sleep amount and intensity are increased early in life for invertebrates, such as the fruit fly, just as they are in mammals (Jouvet-Mounier et al., <xref ref-type="bibr" rid="B67">1970</xref>; Shaw et al., <xref ref-type="bibr" rid="B134">2000</xref>). In <italic>Drosophila</italic>, 24 h of sleep deprivation following eclosion leads to long-term learning deficits, whereas adults recover from the same duration of sleep loss after one night of recovery sleep (Seugnet et al., <xref ref-type="bibr" rid="B132">2011</xref>). These chronic learning impairments are likely connected with altered dopamine signaling, and can be dampened either by blocking D1 receptor activity during early life sleep loss or by elevating dopamine signaling during the days after developmental sleep deprivation (Seugnet et al., <xref ref-type="bibr" rid="B132">2011</xref>). Additionally, young sleep-deprived male flies, but not mature flies, show deficits in courtship behavior as adults (Seugnet et al., <xref ref-type="bibr" rid="B132">2011</xref>; Kayser et al., <xref ref-type="bibr" rid="B69">2014</xref>). These courtship deficits are accompanied by decreased size of an olfactory glomerulus associated with perception of social pheromones, caused by impaired developmental growth (Kayser et al., <xref ref-type="bibr" rid="B69">2014</xref>). Similarly, 1 week of early life sleep disruption impairs later social bonding in adult prairie voles (Jones et al., <xref ref-type="bibr" rid="B66">2019</xref>). In this study, sleep disruption occurred during the third and fourth weeks of life, which likely falls during a critical period for maturation of GABAergic circuits that contribute to sensory integration (Gogolla et al., <xref ref-type="bibr" rid="B46">2014</xref>). Notably, early life sleep deprivation in prairie voles leads to an increase in parvalbumin immunoreactivity in the primary sensory cortex, a brain region relevant to social bonding (Jones et al., <xref ref-type="bibr" rid="B66">2019</xref>). Chronic changes in parvalbumin signaling could disrupt sensory processing and social behavior by altering excitatory/inhibitory balance (Yizhar et al., <xref ref-type="bibr" rid="B177">2011</xref>). Together, these studies demonstrate that early life sleep is vital for developmental growth of rapidly growing brain regions across many species, and that disrupted sleep during development can result in lasting effects on adult circuitry and behavior.</p>
<p>While human studies have not yet revealed a mechanistic understanding of how sleep promotes neural and cognitive development, animal models indicate that sleep&#x00027;s role in neurodevelopment is evolutionarily ancient. Model system studies, such as those in flies and mice discussed above, have begun to examine how sleep modulates synaptic connectivity in a variety of developing sensory circuits. Further studies in these systems may reveal interventions that facilitate healthy development during insufficient sleep (Seugnet et al., <xref ref-type="bibr" rid="B132">2011</xref>; Kayser et al., <xref ref-type="bibr" rid="B69">2014</xref>; Jones et al., <xref ref-type="bibr" rid="B66">2019</xref>).</p>
</sec>
<sec id="s3">
<title>Learning and Memory</title>
<p>In a variety of species, sleep is required for several stages of memory formation and processing (Walker et al., <xref ref-type="bibr" rid="B167">2002</xref>; Graves et al., <xref ref-type="bibr" rid="B48">2003</xref>; McDermott et al., <xref ref-type="bibr" rid="B99">2003</xref>; Ganguly-Fitzgerald et al., <xref ref-type="bibr" rid="B43">2006</xref>; Seugnet et al., <xref ref-type="bibr" rid="B133">2008</xref>; Krishnan et al., <xref ref-type="bibr" rid="B78">2016</xref>). Indeed, sleep deprivation leads to impaired encoding (Walker et al., <xref ref-type="bibr" rid="B167">2002</xref>; Yoo et al., <xref ref-type="bibr" rid="B178">2007</xref>; Seugnet et al., <xref ref-type="bibr" rid="B133">2008</xref>), consolidation (Graves et al., <xref ref-type="bibr" rid="B48">2003</xref>; Diekelmann and Born, <xref ref-type="bibr" rid="B28">2010</xref>), and retrieval (Gais et al., <xref ref-type="bibr" rid="B42">2007</xref>; Lo et al., <xref ref-type="bibr" rid="B88">2016</xref>; Montes-Rodr&#x000ED;guez et al., <xref ref-type="bibr" rid="B102">2019</xref>; Heckman et al., <xref ref-type="bibr" rid="B54">2020</xref>) of recent associations. While even a brief nap restores memory in some assays (Seugnet et al., <xref ref-type="bibr" rid="B133">2008</xref>; Ong et al., <xref ref-type="bibr" rid="B109">2020</xref>), other learning and memory impairments persist after days of recovery sleep (Havekes et al., <xref ref-type="bibr" rid="B52">2016</xref>; Yamazaki et al., <xref ref-type="bibr" rid="B172">2020</xref>; Wu et al., <xref ref-type="bibr" rid="B171">2021</xref>). While it is not clear why recovery from sleep loss varies between these conditions, studies have detected several types of longer-lasting cellular and molecular changes that persist after recovery sleep, including altered gene expression (Gaine et al., <xref ref-type="bibr" rid="B41">2021</xref>), protein synthesis (Tudor et al., <xref ref-type="bibr" rid="B155">2016</xref>; Lamon et al., <xref ref-type="bibr" rid="B80">2021</xref>), and circuit connectivity (Weiss and Donlea, <xref ref-type="bibr" rid="B170">2021</xref>). Interestingly, some types of memories seem to be more vulnerable to sleep loss than others. For example, procedural memories and memories acquired with a conscious motivation or reward benefit from sleep more than declarative or unmotivated memories (Stickgold and Walker, <xref ref-type="bibr" rid="B145">2007</xref>; Diekelmann and Born, <xref ref-type="bibr" rid="B28">2010</xref>). In <italic>Drosophila</italic>, sleep deprivation disrupts consolidation of appetitive sugar reward memories in fed flies, but in not starved flies (Chouhan et al., <xref ref-type="bibr" rid="B19">2021</xref>). Together, these studies indicate that sleep deprivation likely does not have a universal effect on learning and memory, but varies based on physiological, environmental, and behavioral factors.</p>
<p>While the negative impacts of sleep loss on memory formation are typically detrimental, it is possible that targeted sleep disruption could be used to prevent the consolidation of maladaptive memories. Some studies, for instance, suggest that sleep deprivation could be used following trauma to degrade fear memories in patients with post-traumatic stress disorder (PTSD). Studies by Vanderheyden et al. (<xref ref-type="bibr" rid="B157">2015</xref>) compared sleep patterns of rats that were susceptible to developing PTSD-like symptoms after trauma to those that were resilient. While susceptible rats exhibited an increase in REM sleep in the hours following the traumatic event, resilient rats slept little during this period (Vanderheyden et al., <xref ref-type="bibr" rid="B157">2015</xref>). Heightened REM sleep following trauma could lead to consolidation and reactivation of the trauma memory, preventing fear extinction, and resulting in generalization of the fear memory (Poe, <xref ref-type="bibr" rid="B116">2017</xref>). Traumatic events drive activation of the mammalian locus coeruleus (LC) (Passerin et al., <xref ref-type="bibr" rid="B115">2000</xref>; Naegeli et al., <xref ref-type="bibr" rid="B103">2018</xref>), a collection of noradrenergic cells that promote long-term potentiation (LTP) (Izumi et al., <xref ref-type="bibr" rid="B63">1992</xref>; Thomas et al., <xref ref-type="bibr" rid="B151">1996</xref>; Izumi and Zorumski, <xref ref-type="bibr" rid="B64">1999</xref>) and are generally quiescent during REM sleep (Foote et al., <xref ref-type="bibr" rid="B39">1980</xref>). Elevated LC activity during REM sleep following a traumatic event can contribute to enhancement of recently formed emotional memories as seen in PTSD (Wassing et al., <xref ref-type="bibr" rid="B168">2019</xref>). Therefore, behavioral sleep deprivation or pharmacological REM suppression following a traumatic event could lead to interventions to prevent the development of PTSD (Vanderheyden et al., <xref ref-type="bibr" rid="B158">2014</xref>, <xref ref-type="bibr" rid="B157">2015</xref>; Poe, <xref ref-type="bibr" rid="B116">2017</xref>). Conversely, given the importance of sleep in memory consolidation (Rasch and Born, <xref ref-type="bibr" rid="B122">2013</xref>) and emotional processing (Palmer and Alfano, <xref ref-type="bibr" rid="B113">2017</xref>; Tempesta et al., <xref ref-type="bibr" rid="B148">2018</xref>), sleep loss following a traumatic event could prevent consolidation of fear extinction memory in other conditions (Pace-Schott et al., <xref ref-type="bibr" rid="B111">2015</xref>). Recent human studies have produced mixed results (Porcheret et al., <xref ref-type="bibr" rid="B117">2015</xref>; Kleim et al., <xref ref-type="bibr" rid="B75">2016</xref>; Cohen et al., <xref ref-type="bibr" rid="B23">2017</xref>), indicating that the role for sleep in consolidating and/or maintaining traumatic memories varies with context or time elapsed since trauma. Further studies will be required to examine the therapeutic potential of sleep manipulations more clearly.</p>
<sec>
<title>Synaptic Plasticity and Homeostasis</title>
<p>Although the primary function or functions of sleep are not understood, evidence suggests a strong relationship between sleep and plasticity (Frank et al., <xref ref-type="bibr" rid="B40">2001</xref>; Tononi and Cirelli, <xref ref-type="bibr" rid="B154">2014</xref>). Sleep loss leads to impairments in the plastic processes of learning and memory (Diekelmann and Born, <xref ref-type="bibr" rid="B28">2010</xref>; Rasch and Born, <xref ref-type="bibr" rid="B122">2013</xref>). One prominent hypothesis posits that sleep&#x00027;s function is the renormalization of synaptic strength via downscaling of synapses that are potentiated during wake, thereby constraining excitability and restoring signal-to-noise ratios for neuronal firing (Tononi and Cirelli, <xref ref-type="bibr" rid="B154">2014</xref>). Learning about the environment during waking experience requires strengthening of synapses (Clem and Barth, <xref ref-type="bibr" rid="B22">2006</xref>; Gruart et al., <xref ref-type="bibr" rid="B49">2006</xref>; Tye et al., <xref ref-type="bibr" rid="B156">2008</xref>). According to this synaptic homeostasis hypothesis, sleep deprivation leads to cognitive deficits due to saturation of synaptic connections (Tononi and Cirelli, <xref ref-type="bibr" rid="B154">2014</xref>). Evidence supporting the role of synaptic downscaling during sleep exists in a variety of species (Gilestro et al., <xref ref-type="bibr" rid="B44">2009</xref>; Vyazovskiy et al., <xref ref-type="bibr" rid="B166">2009</xref>; Bushey et al., <xref ref-type="bibr" rid="B15">2011</xref>). At the molecular level, synaptoneurosomes from the cortex and hippocampus of adult rats display increased protein levels of GluA1-containing AMPA receptors after spontaneous and forced wake than after sleep (Vyazovskiy et al., <xref ref-type="bibr" rid="B165">2008</xref>). Sleep has been found to promote synaptic downscaling in the mouse forebrain by internalizing AMPA receptors via the immediate early gene Homer1 (Diering et al., <xref ref-type="bibr" rid="B29">2017</xref>). In addition, the size of the axon-spine-interface, an ultrastructural measure of synaptic strength, increases after several hours of wake compared to sleep in several mouse brain regions (Vivo et al., <xref ref-type="bibr" rid="B163">2017</xref>, <xref ref-type="bibr" rid="B164">2019</xref>; Spano et al., <xref ref-type="bibr" rid="B141">2019</xref>). At the electrophysiological level, amplitude and/or frequency of miniature excitatory postsynaptic currents in several regions of the rodent brain increase during wake and after sleep loss, and decline following spontaneous sleep and recovery sleep (Liu et al., <xref ref-type="bibr" rid="B87">2010</xref>; Bjorness et al., <xref ref-type="bibr" rid="B10">2020</xref>; Khlghatyan et al., <xref ref-type="bibr" rid="B72">2020</xref>). Additionally, firing rates of hippocampal and cortical neurons have been shown to increase with wake and decrease with sleep (Lubenov and Siapas, <xref ref-type="bibr" rid="B89">2008</xref>; Vyazovskiy et al., <xref ref-type="bibr" rid="B165">2008</xref>, <xref ref-type="bibr" rid="B166">2009</xref>; Huber et al., <xref ref-type="bibr" rid="B60">2013</xref>; Norimoto et al., <xref ref-type="bibr" rid="B107">2018</xref>). Studies in <italic>Drosophila</italic> have also found increases in abundance of presynaptic and postsynaptic markers following sleep loss, consistent with the hypothesis of net potentiation during wake (Gilestro et al., <xref ref-type="bibr" rid="B44">2009</xref>; Bushey et al., <xref ref-type="bibr" rid="B15">2011</xref>; Huang et al., <xref ref-type="bibr" rid="B58">2020</xref>; Weiss and Donlea, <xref ref-type="bibr" rid="B170">2021</xref>). Additional work in the fruit fly has found that acute sleep induction is sufficient to reduce abundance of transcripts (Dissel et al., <xref ref-type="bibr" rid="B32">2015</xref>) or protein (Weiss and Donlea, <xref ref-type="bibr" rid="B170">2021</xref>) of synaptic components.</p>
<p>While evidence clearly suggests a role for sleep in synaptic downscaling in some circumstances, other studies have reported synaptic potentiation during sleep (Frank et al., <xref ref-type="bibr" rid="B40">2001</xref>; Aton et al., <xref ref-type="bibr" rid="B4">2013</xref>, <xref ref-type="bibr" rid="B6">2014</xref>). Short periods of sleep loss decrease the number of dendritic spines in the CA1 region of the hippocampus due to increased activity of the actin-binding protein cofilin (Havekes et al., <xref ref-type="bibr" rid="B52">2016</xref>). Suppressing cofilin activity in hippocampal neurons prevents spine loss and cognitive deficits following sleep deprivation, suggesting that disruption of synaptic potentiation during sleep deprivation can lead to defects in memory consolidation (Havekes et al., <xref ref-type="bibr" rid="B52">2016</xref>). Similarly, sleep deprivation leads to decreased spine density in the dentate gyrus (Raven et al., <xref ref-type="bibr" rid="B124">2019</xref>), and disrupts the formation of new spines following learning (Yang et al., <xref ref-type="bibr" rid="B174">2014</xref>). These data indicate that, although evidence supports a general trend for synaptic downscaling during sleep, it is likely that different classes of synapses undergo different forms of plasticity during sleep or that sleep alters synaptic organization differently depending on the organism&#x00027;s developmental state and recent experience.</p>
<p>Several recent studies have sought to understand whether sleep loss differentially affects distinct classes of neurons within a single circuit or brain region. The <italic>Drosophila</italic> mushroom body (MB), which encodes olfactory associative memories, provides an ideal opportunity to examine the local effects of sleep loss on synapse organization. Heroic efforts have untangled the organization of the fly MB with the development of genetic drivers to label each cell type, often with single-cell resolution (Aso et al., <xref ref-type="bibr" rid="B2">2014a</xref>,<xref ref-type="bibr" rid="B3">b</xref>) and serial reconstruction of electron micrographs have led to a detailed connectome of the MB circuitry (Li et al., <xref ref-type="bibr" rid="B83">2020</xref>; Scheffer et al., <xref ref-type="bibr" rid="B131">2020</xref>). These studies show that the <italic>Drosophila</italic> MB is an associative learning center that is divided into 15 zones defined by non-overlapping arborization of several cell types, including cholinergic Kenyon Cells (KCs), reinforcing dopaminergic neurons (DANs), and mushroom body output neurons (MBONs) which mediate behavioral valence output (Aso et al., <xref ref-type="bibr" rid="B2">2014a</xref>). Associative engrams can be localized to individual zones of the MB lobes, where plasticity in the connections between odor-encoding KCs and valence-driving MBONs determines the fly&#x00027;s behavioral response to odorant stimuli (Aso et al., <xref ref-type="bibr" rid="B3">2014b</xref>; Hige et al., <xref ref-type="bibr" rid="B57">2015</xref>; Owald et al., <xref ref-type="bibr" rid="B110">2015</xref>). Since sleep loss prior to training can impair acquisition/short-term memory and disrupting sleep after training prevents memory consolidation (Ganguly-Fitzgerald et al., <xref ref-type="bibr" rid="B43">2006</xref>; Seugnet et al., <xref ref-type="bibr" rid="B133">2008</xref>), it is likely that sleep deprivation alters either synaptic connectivity or plasticity in MB circuits. Overnight sleep deprivation selectively upscales synapses of cholinergic memory-encoding KCs, but not other cell types in the MB, including DANs or large, inhibitory interneurons (Weiss and Donlea, <xref ref-type="bibr" rid="B170">2021</xref>). Further, not all types of KC output synapses are equally impacted by sleep loss; output connections from KCs to different classes of post-synaptic target neurons show wide variations in abundance following sleep loss.</p>
<p>Interestingly, studies by Chouhan et al. (<xref ref-type="bibr" rid="B19">2021</xref>), found that flies housed without food did not require sleep after appetitive conditioning to form new memories, unlike fed flies. While appetitive memory is encoded in the KC&#x0003E;MBON-&#x003B3;2&#x003B1;&#x00027;1 circuit in fed flies and is sensitive to sleep loss, appetitive memory is encoded in KC&#x0003E;MBON-&#x003B3;1pedc circuitry in starved flies, and remains intact with sleep loss (Chouhan et al., <xref ref-type="bibr" rid="B19">2021</xref>). Additionally, Weiss and Donlea (<xref ref-type="bibr" rid="B170">2021</xref>) found that sleep loss led to decreased connectivity between KCs and MBON-&#x003B3;2&#x003B1;&#x00027;1, necessary for sleep-dependent memory consolidation, while KC&#x0003E;MBON-&#x003B3;1pedc connections, dispensable for sleep-dependent memory consolidation, were unaffected. Sleep loss could therefore disrupt consolidation of recent appetitive memories in fed flies by reducing overall connectivity between KCs and MBON-&#x003B3;2&#x003B1;&#x00027;1 (see <xref ref-type="fig" rid="F1">Figure 1</xref>). Because plasticity rules can differ widely between MB sub-circuits (Hige et al., <xref ref-type="bibr" rid="B57">2015</xref>), environmental conditions during learning likely influence the strength, retention, and/or decay time of a particular association. These results suggest that different zones of the MB exhibit distinct plasticity rules during sleep, likely based on learning paradigm, internal state, and other previous experience.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Schematic of local plasticity in <italic>Drosophila</italic> mushroom body after sleep loss. <bold>(A)</bold> Schematic illustration of <italic>Drosophila</italic> mushroom body. The &#x003B3; lobe (light blue) contains the &#x003B3;1 compartment, outlined in blue, and the &#x003B3;2 compartment, outlined in red. Arrows represent changes in connectivity from Kenyon cells to MBON-&#x003B3;1pedc (left, blue) and MBON-&#x003B3;2&#x003B1;&#x00027;1 (right, red). Appetitive memory encoded at KC&#x0003E;MBON-&#x003B3;1pedc synapses is resilient to sleep loss, but appetitive memory encoded at KC&#x0003E;MBON-&#x003B3;2&#x003B1;&#x00027;1 synapses is impaired by sleep loss. <bold>(B)</bold> Schematic of connectivity between neuronal cell types in MB in rested (left) and sleep deprived brains (right). KC axons innervate tiled zones that each receive input from distinct DANs and provide input to unique MBONs. After SD, KC&#x0003E;MBON-&#x003B3;1pedc connectivity is unchanged, but KC&#x0003E;MBON-&#x003B3;2&#x003B1;&#x00027;1 connectivity decreases. Based on findings from Weiss and Donlea (<xref ref-type="bibr" rid="B170">2021</xref>) and Chouhan et al. (<xref ref-type="bibr" rid="B19">2021</xref>).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnbeh-15-777799-g0001.tif"/>
</fig>
<p>Supporting the idea of region and circuit specific changes in plasticity with SD, Puentes-Mestril et al. (<xref ref-type="bibr" rid="B118">2021</xref>) examined the effects of sleep loss on ribosome-bound transcripts for activity-dependent regulators of plasticity in excitatory pyramidal neurons and inhibitory parvalbumin-expressing interneurons. While both classes of neurons show increases in plasticity-mediating transcripts in the cortex following sleep loss, SD has little effect on abundance of these transcripts in both cell types in the hippocampus (Puentes-Mestril et al., <xref ref-type="bibr" rid="B118">2021</xref>). Additional work suggests that certain cell types in the mouse hippocampus likely have privileged roles in memory consolidation during sleep (Delorme et al., <xref ref-type="bibr" rid="B26">2021</xref>). Sleep deprivation leads to activation of inhibitory somatostatin-expressing (Sst&#x0002B;) interneurons in the hippocampus, likely due to inputs from increasingly active cholinergic neurons (Delorme et al., <xref ref-type="bibr" rid="B26">2021</xref>). Both pharmacological activation of cholinergic neurons and chemogenetic activation of Sst&#x0002B; cells in the dorsal hippocampus in the absence of SD leads to deficits in sleep-dependent memory consolidation (Delorme et al., <xref ref-type="bibr" rid="B26">2021</xref>). Notably, both Delorme et al. (<xref ref-type="bibr" rid="B26">2021</xref>) and Weiss and Donlea (<xref ref-type="bibr" rid="B170">2021</xref>) found that sleep deprivation enhances cholinergic signaling onto GABAergic interneurons in learning/memory-related circuits, which likely increases inhibition onto memory-encoding neurons (see <xref ref-type="fig" rid="F2">Figure 2</xref>). Enhanced hippocampal inhibition due to increased Sst&#x0002B; activity during SD correlates with impairment of memory consolidation by disrupting LTP (Vecsey et al., <xref ref-type="bibr" rid="B159">2009</xref>; Havekes et al., <xref ref-type="bibr" rid="B52">2016</xref>), the reactivation of memory-encoding cells (Stefanelli et al., <xref ref-type="bibr" rid="B144">2016</xref>; Clawson et al., <xref ref-type="bibr" rid="B21">2021</xref>), or hippocampal oscillations (Puentes-Mestril et al., <xref ref-type="bibr" rid="B119">2019</xref>). Similarly, while some inhibition from the <italic>Drosophila</italic> APL interneurons onto KCs is necessary to maintain spatial and temporal sparseness of odor encoding (Lei et al., <xref ref-type="bibr" rid="B81">2013</xref>; Lin et al., <xref ref-type="bibr" rid="B86">2014</xref>), excess inhibition would likely prevent encoding of new odor associations and reactivation of existing memory traces. Interestingly, GABAergic signaling from dorsal paired medial (DPM) and anterior paired lateral (APL) promotes sleep at night, suggesting that these interneurons may be recruited by increased KC activity during SD to promote sleep and sparsen KC representations (Haynes et al., <xref ref-type="bibr" rid="B53">2015</xref>). These studies in both mice and <italic>Drosophila</italic> suggest that increased cholinergic signaling disrupts learning and memory after sleep deprivation, and that inhibitory drive onto memory-encoding neurons could be recruited to compensate. While these studies find complementary effects of sleep loss in the fly and mouse, these results use different approaches; Weiss and Donlea (<xref ref-type="bibr" rid="B170">2021</xref>) measure synaptic active zone reporters in the fly MB while Delorme et al. (<xref ref-type="bibr" rid="B26">2021</xref>) and Puentes-Mestril et al. (<xref ref-type="bibr" rid="B118">2021</xref>) quantify hippocampal transcript levels of activity-dependent immediate early genes. Additional studies will be required to directly test the relationship between connectivity changes and cell-type specific changes in activity. Ultimately, characterizing the subsets of synapses, cell types, and circuits that are most sensitive to sleep loss will help elucidate the mechanisms by which SD impairs behaviors such as learning and memory.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Cell type specific effects of sleep loss on memory-encoding circuits. <bold>(A)</bold> Schematic of connectivity between memory-encoding KCs and APL/DPM interneurons in the <italic>Drosophila</italic> MB in rested (left) and sleep deprived (right) flies. Cholinergic KCs activate GABAergic interneurons, which provide feedback inhibition onto KCs. KCs also synapse back onto other KCs. After SD (right), KC&#x0003E;APL connectivity strengthens, presumably increasing inhibition back onto KCs. KC&#x0003E;KC synapses may also strengthen, further contributing to increased KC&#x0003E;APL connectivity. Increased inhibition from APL/DPM after SD could dampen KC&#x0003E;KC excitation and promote recovery sleep. Based on findings from Weiss and Donlea (<xref ref-type="bibr" rid="B170">2021</xref>). <bold>(B)</bold> Schematic of hippocampal circuitry including cholinergic neurons in the medial septum to the mouse hippocampus in rested (left) and sleep deprived (right) mice. Cholinergic neurons activate GABAergic SST&#x0002B; interneurons in the hippocampus, which inhibit memory-encoding pyramidal neurons/granule cells (principal neurons). After SD (right), enhanced cholinergic signaling increasingly activates SST&#x0002B; interneurons, thereby heightening inhibition and reducing activity of hippocampal pyramidal neurons and granule cells. Based on findings from Delorme et al. (<xref ref-type="bibr" rid="B26">2021</xref>).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnbeh-15-777799-g0002.tif"/>
</fig>
<p>Sleep not only balances synaptic connectivity, but also influences neuronal firing patterns. In the rodent frontal cortex, fast spiking pyramidal cells show decreased activity during NREM sleep, while slow firing neurons increase their firing rate (Watson et al., <xref ref-type="bibr" rid="B169">2016</xref>). Similar findings were observed in the mouse primary visual cortex, and these changes in firing rates were disrupted by a period of brief sleep deprivation (Clawson et al., <xref ref-type="bibr" rid="B20">2018</xref>). Pyramidal neurons that are active during sleep spindles, oscillatory activity that promotes plasticity underlying memory formation (Schabus et al., <xref ref-type="bibr" rid="B130">2006</xref>; Rasch and Born, <xref ref-type="bibr" rid="B122">2013</xref>; Cairney et al., <xref ref-type="bibr" rid="B16">2018</xref>), are increasingly active over the course of slow-wave sleep (SWS), whereas spindle-inactive pyramidal neurons show decreased activity during SWS (Niethard et al., <xref ref-type="bibr" rid="B106">2021</xref>). These results indicate that sleep can increase the signal-to-noise ratio of neuronal responses by increasing the activity of sparsely firing neurons with the highest selectivity while reducing noise by decreasing activity of faster spiking, less selective neurons (Clawson et al., <xref ref-type="bibr" rid="B20">2018</xref>). Interestingly, sleep during early-life ODP in mice is vital for firing rate homeostasis, indicating a potential life-long role for sleep in normalizing neuronal activity (Hengen et al., <xref ref-type="bibr" rid="B56">2016</xref>; Pacheco et al., <xref ref-type="bibr" rid="B112">2021</xref>).</p>
</sec>
</sec>
<sec id="s4">
<title>Resilience to Sleep Loss</title>
<sec>
<title>Ethological Context</title>
<p>While sleep contributes to many forms of experience-dependent plasticity as described above, individuals can show a wide variation in their responses to sleep loss. Sleep is homeostatically regulated across many species, but both extrinsic and intrinsic factors can influence the responses of an organism to specific sleep challenges. Food-deprived <italic>Drosophila</italic>, for instance, typically reduce their sleep, presumably to maximize foraging opportunities (Keene et al., <xref ref-type="bibr" rid="B70">2010</xref>; Thimgan et al., <xref ref-type="bibr" rid="B150">2010</xref>; Yurgel et al., <xref ref-type="bibr" rid="B179">2019</xref>). While acute sleep-deprivation is typically accompanied by impaired memory and a homeostatic increase in sleep, flies that lose sleep overnight during food deprivation can retain intact memory formation and show little, if any, sleep rebound (Thimgan et al., <xref ref-type="bibr" rid="B150">2010</xref>). Similarly, socially na&#x000EF;ve male flies will also forego sleep when paired overnight with a female fly (Beckwith et al., <xref ref-type="bibr" rid="B9">2017</xref>; Machado et al., <xref ref-type="bibr" rid="B95">2017</xref>). This effect can be replicated by activating pheromone sensing neurons or courtship control circuits and, like starvation-induced arousal, is not followed by a sleep rebound. Similarly, the ability to temporarily offset the need for sleep has also been found in vertebrate species. Fur seals suppress REM sleep for days or weeks when foraging in seawater, accompanied by little to no REM rebound (Lyamin et al., <xref ref-type="bibr" rid="B92">2018</xref>). Migratory frigate birds can reduce the time that they spend asleep by over 90% for &#x0007E;10 days while continuously in flight over the Pacific Ocean compared to their sleeping patterns on land (Rattenborg et al., <xref ref-type="bibr" rid="B123">2016</xref>). Similarly, Arctic male sandpipers suppress sleep for a roughly 3 week period annually while they compete for mating partners (Lesku et al., <xref ref-type="bibr" rid="B82">2012</xref>). During mating season, the sun never sets in the high Arctic, allowing males to engage in unlimited visual courtship displays. Because mating success is correlated with the amount of time that male sandpipers spend awake, there is likely selective pressure for genetic factors that can allow male sandpipers to withstand prolonged sleep loss without accruing cognitive deficits or sleep drive. Constant sunlight during this period likely interacts with social and reproductive cues, enabling males to forego sleep for an extended period. Social behaviors can also drive contexts in which mammals can delay the need for sleep. Whales and dolphins, for example, can nearly fully suppress sleep for up to a month after giving birth with no recorded physiological consequences (Lyamin et al., <xref ref-type="bibr" rid="B91">2005</xref>). Importantly, vertebrate sleep stages are characterized by electrophysiological signatures measured with electroencephalography (EEG) (two process model), whereas <italic>Drosophila</italic> sleep is defined by behavioral criteria such as quiescence and increased arousal threshold (Hendricks et al., <xref ref-type="bibr" rid="B55">2000</xref>; Shaw et al., <xref ref-type="bibr" rid="B134">2000</xref>). Recent work has begun to investigate whether sleep in <italic>Drosophila</italic> is composed of distinct stages (Yap et al., <xref ref-type="bibr" rid="B175">2017</xref>; Raccuglia et al., <xref ref-type="bibr" rid="B120">2019</xref>; Tainton-Heap et al., <xref ref-type="bibr" rid="B146">2021</xref>), which may account for variations in plasticity and responses to sleep loss discussed above. While mechanistic studies are not feasible in many of the species mentioned here, the range of contexts in which sleep need can be temporarily offset provides exciting opportunities to understand when sleep is required for plasticity (see <xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Summary of experimental or ethologically-relevant conditions that reduce sleep in several species.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Species</bold></th>
<th valign="top" align="left"><bold>Manipulation</bold></th>
<th valign="top" align="left"><bold>Sleep response</bold></th>
<th valign="top" align="left"><bold>Behavioral response</bold></th>
<th valign="top" align="left"><bold>References</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>Drosophila melanogaster</italic></td>
<td valign="top" align="left">Sleep deprivation</td>
<td valign="top" align="left">Decreased sleep, homeostatic rebound</td>
<td valign="top" align="left">Impaired learning, STM and LTM</td>
<td valign="top" align="left">Ganguly-Fitzgerald et al., <xref ref-type="bibr" rid="B43">2006</xref>; Seugnet et al., <xref ref-type="bibr" rid="B133">2008</xref>; Li et al., <xref ref-type="bibr" rid="B85">2009</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Starvation</td>
<td valign="top" align="left">Decreased sleep, no rebound</td>
<td valign="top" align="left">Intact memory</td>
<td valign="top" align="left">Keene et al., <xref ref-type="bibr" rid="B70">2010</xref>; Thimgan et al., <xref ref-type="bibr" rid="B150">2010</xref>; Yurgel et al., <xref ref-type="bibr" rid="B179">2019</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Stimulants</td>
<td valign="top" align="left">Decreased sleep</td>
<td valign="top" align="left">Not measured</td>
<td valign="top" align="left">Hendricks et al., <xref ref-type="bibr" rid="B55">2000</xref>; Shaw et al., <xref ref-type="bibr" rid="B134">2000</xref>; Andretic et al., <xref ref-type="bibr" rid="B1">2005</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Courtship</td>
<td valign="top" align="left">Decreased sleep, no rebound</td>
<td valign="top" align="left">Not measured</td>
<td valign="top" align="left">Beckwith et al., <xref ref-type="bibr" rid="B9">2017</xref>; Machado et al., <xref ref-type="bibr" rid="B95">2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">Frigatebirds</td>
<td valign="top" align="left">Migration</td>
<td valign="top" align="left">Decreased sleep in flight, rebound on land</td>
<td valign="top" align="left">Not measured</td>
<td valign="top" align="left">Rattenborg et al., <xref ref-type="bibr" rid="B123">2016</xref></td>
</tr>
<tr>
<td valign="top" align="left">Sandpipers</td>
<td valign="top" align="left">Mating season</td>
<td valign="top" align="left">Decreased sleep</td>
<td valign="top" align="left">Mating success positively correlated with amount of sleep loss</td>
<td valign="top" align="left">Lesku et al., <xref ref-type="bibr" rid="B82">2012</xref></td>
</tr>
<tr>
<td valign="top" align="left">Cetaceans</td>
<td valign="top" align="left">Postpartum</td>
<td valign="top" align="left">Little to no sleep</td>
<td valign="top" align="left">Not measured</td>
<td valign="top" align="left">Lyamin et al., <xref ref-type="bibr" rid="B91">2005</xref>, <xref ref-type="bibr" rid="B90">2007</xref></td>
</tr>
<tr>
<td valign="top" align="left">Fur seals</td>
<td valign="top" align="left">In seawater</td>
<td valign="top" align="left">Greatly reduced REM, no REM rebound</td>
<td valign="top" align="left">Not measured</td>
<td valign="top" align="left">Lyamin et al., <xref ref-type="bibr" rid="B92">2018</xref></td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Intrinsic Factors</title>
<p>Resilience to sleep loss can also be influenced by intrinsic factors that vary between individuals. Human subjects exhibit reliable, stable responses to repeated episodes of sleep loss, suggesting that sensitivity to sleep loss can be a durable trait over time (Dennis et al., <xref ref-type="bibr" rid="B27">2017</xref>; Yamazaki and Goel, <xref ref-type="bibr" rid="B173">2019</xref>). Naturally occurring genetic polymorphisms coincide with an individual&#x00027;s response to sleep loss in flies and humans (Viola et al., <xref ref-type="bibr" rid="B161">2007</xref>, <xref ref-type="bibr" rid="B162">2012</xref>; Donlea et al., <xref ref-type="bibr" rid="B33">2012</xref>; Satterfield et al., <xref ref-type="bibr" rid="B129">2015</xref>). In two of these studies, the same genetic alleles correlated with reduced cognitive impairments and dampened homeostatic sleep pressure after prolonged waking, indicating that the identified loci could contribute to protecting neural functions during sleep loss (Viola et al., <xref ref-type="bibr" rid="B161">2007</xref>; Donlea et al., <xref ref-type="bibr" rid="B33">2012</xref>). Interestingly, the identified human alleles in <italic>per3</italic> and <italic>tnf</italic>&#x003B1; that protected individuals from the consequences of sleep loss did not predominate in the subject populations, consistent with the possibility that these alleles are accompanied with susceptibility to other physiological challenges. Brain structure can also influence sensitivity to sleep loss; variation in functional connectivity between brain regions and hippocampal structure can predict the cognitive impact of sleep loss in human subjects (Yeo et al., <xref ref-type="bibr" rid="B176">2015</xref>; Saletin et al., <xref ref-type="bibr" rid="B128">2016</xref>). While the neural and molecular mechanisms that connect these variations with susceptibility to sleep are not yet known, studies of model systems provide some insights into pathways that might provide protection from insufficient sleep. <italic>Drosophila</italic> and mouse studies have identified genetic pathways, including circadian rhythm (Mang et al., <xref ref-type="bibr" rid="B97">2016</xref>; Ehlen et al., <xref ref-type="bibr" rid="B36">2017</xref>), and metabolic factors (Thimgan et al., <xref ref-type="bibr" rid="B150">2010</xref>, <xref ref-type="bibr" rid="B149">2015</xref>), that can be manipulated to prevent rebound sleep following extended waking. It is important to note that each of these interventions can temporarily delay the accumulation of sleep debt, but it is unclear how long their protection persists and whether other consequences build as a result. Nonetheless, further examination of the external contexts and internal factors that can confer resilience to sleep loss may provide new insight into the neural functions of sleep and identify controllable interventions to facilitate rapid recovery from sleep loss.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>In many contexts, sleep is vital for individuals to learn and adapt their behavior to best fit their environmental conditions. Sleep facilitates brain development and circuit refinement, and early life disruptions in sleep can result in long-lasting behavioral changes. Throughout the lifespan, sleep also impacts whether new memories can be effectively acquired and consolidated. While understanding the mechanisms that contribute to sleep-dependent plasticity remain an area of intense interest, many studies have already identified molecular and synaptic connectivity changes that occur during sleep to facilitate memory formation. More clearly identifying these mechanisms and developing strategies to manipulate them could open opportunities to support cognitive processing during sleep loss. Finally, individuals exhibit varying responses to sleep loss due to intrinsic and environmental factors. Understanding the benefits and detriments of variations in sleep, as well as the biological basis for inter-individual differences, will help resolve the function(s) of sleep and elucidate how sleep patterns affect future behavior.</p>
</sec>
<sec id="s6">
<title>Author Contributions</title>
<p>JW and JD wrote sections of the manuscript. All authors contributed to manuscript revision, read, and approved the submitted version.</p>
</sec>
<sec sec-type="funding-information" id="s7">
<title>Funding</title>
<p>This work had support from NIH/NINDS R01NS105967 to JD and a Jessamine K. Hilliard UCLA Neurobiology Graduate Student Grant to JW.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s8">
<title>Publisher&#x00027;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec> 
</body>
<back>
<ack><p>We thank members of the Donlea lab for helpful suggestions and comments.</p>
</ack>
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