Glutamatergic Neurons in the Preoptic Hypothalamus Promote Wakefulness, Destabilize NREM Sleep, Suppress REM Sleep, and Regulate Cortical Dynamics

Mondino, Alejandra; Hambrecht-Wiedbusch, Viviane S.; Duan, Lingxun; York, A. Kane; Pal, Dinesh; González, Joaquín; Torterolo, Pablo; Mashour, George A.; Vanini, Giancarlo

doi:10.1523/jneurosci.2718-20.2021

Cited by 33 publications

(36 citation statements)

References 100 publications

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“…5D. Firstly, we confirm that LFP activity is significantly less complex during SWS than during REM or Wake, which can be seen from the box-plots in the left panels of Fig 5D . These results are consistent with previously reported results for EEG and ECoG data [3,[10][11][12]14]. Secondly, we obtain similar temporal complexity values for the sLFP, which can be seen in the right panels of Fig.…”

Section: Off-periods Account For the Loss Of Complexity In Field Recordingssupporting

confidence: 93%

“…Methods) for 15 rats in freely moving conditions, cycling through the states of sleep and wakefulness. In what follows, we present results from applying Recurrence Quantification Analysis (RQA) [32] to the population activity during the states of wakefulness (Wake), slow-wave sleep (SWS), and rapid-eye movement (REM) sleep, which explain the complexity changes observed from field recordings in various works [2,3,[8][9][10][11][12]14].…”

Section: Resultsmentioning

confidence: 99%

“…S3). To improve our understanding of previously reported results from field recordings, such as EEG, ECoG, or LFP [2,3,5,[8][9][10][11][12]14], we create synthetic local field-potentials, sLFP, and compare them with LFP recordings (Fig. 5).…”

Section: Off-periods Explain the Complexity Changes During Sws In The Neocortexmentioning

confidence: 99%

“…The loss of temporal complexity is characteristic of unconsciousness -including deep sleep states -and can be widely observed in field recordings, such as electroencephalograms (EEG) [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. Complexity can be defined as the diversity of patterns in a given signal, which approximately quantifies its information content.…”

Section: Introductionmentioning

confidence: 99%

“…Complexity can be defined as the diversity of patterns in a given signal, which approximately quantifies its information content. High complexity is observed from field recordings during Wakefulness, decreasing as awareness is lost [1,2,[4][5][6]8,13,14], which suggests that consciousness needs a complex substrate [15,16]. Moreover, these complexity changes are conserved across species (such as mice [17], rats [10,11], monkeys [13], and humans [3,6,8,12]) and are influenced by circadian rhythms [18], age [19], and pathology [9,20], pointing to the existence of a fundamental state of cortical circuits during the sleep-wake cycle.…”

Section: Introductionmentioning

confidence: 99%

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OFF-periods reduce the complexity of neocortical activity during sleep

González

Cavelli

Tort

et al. 2021

Preprint

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Field recordings decrease their temporal complexity during slow-wave sleep (SWS), however, the neural mechanism for this decrease remains elusive. Here, we show that this complexity reduction is caused by synchronous neuronal OFF-periods by analysing in-vivo recordings from neocortical neuronal populations. We find that OFF-periods trap cortical dynamics, disrupting causal interactions and making the population activity more recurrent, deterministic, and less chaotic than during REM sleep or Wakefulness. Moreover, when we exclude OFF-periods, SWS becomes indistinguishable from Wakefulness or REM sleep. In fact, for all states, we show that the spiking activity has a universal scaling compatible with critical phenomena. We complement these results by analysing a critical branching model that replicates the experimental findings, where we show that forcing OFF-periods into a percentage of neurons suffices to generate a decrease in complexity that replicates SWS.

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Section: Off-periods Account For the Loss Of Complexity In Field Recordingssupporting

confidence: 93%

Section: Resultsmentioning

confidence: 99%

Section: Off-periods Explain the Complexity Changes During Sws In The Neocortexmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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OFF-periods reduce the complexity of neocortical activity during sleep

González

Cavelli

Tort

et al. 2021

Preprint

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Biological Clocks and Immune Function

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Cross species review of the physiological role of d-serine in translationally relevant behaviors

Arizanovska,

Emodogo,

Lally

et al. 2023

Amino Acids

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Bridging the gap between preclinical models of neurological and psychiatric disorders with their human manifestations is necessary to understand their underlying mechanisms, identify biomarkers, and develop novel therapeutics. Cognitive and social impairments underlie multiple neuropsychiatric and neurological disorders and are often comorbid with sleep disturbances, which can exacerbate poor outcomes. Importantly, many symptoms are conserved between vertebrates and invertebrates, although they may have subtle differences. Therefore, it is essential to determine the molecular mechanisms underlying these behaviors across different species and their translatability to humans. Genome-wide association studies have indicated an association between glutamatergic gene variants and both the risk and frequency of psychiatric disorders such as schizophrenia, bipolar disorder, and autism spectrum disorder. For example, changes in glutamatergic neurotransmission, such as glutamate receptor subtype N-methyl-d-aspartate receptor (NMDAR) hypofunction, have been shown to contribute to the pathophysiology of schizophrenia. Furthermore, in neurological disorders, such as traumatic brain injury and Alzheimer’s disease, hyperactivation of NMDARs leads to synaptic damage. In addition to glutamate binding, NMDARs require the binding of a co-agonist d-serine or glycine to the GluN1 subunit to open. d-serine, which is racemized from l-serine by the neuronal enzyme serine racemase (SRR), and both SRR and d-serine are enriched in cortico-limbic brain regions. d-serine is critical for complex behaviors, such as cognition and social behavior, where dysregulation of its synthesis and release has been implicated in many pathological conditions. In this review, we explore the role of d-serine in behaviors that are translationally relevant to multiple psychiatric and neurological disorders in different models across species.

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Glutamatergic Neurons in the Preoptic Hypothalamus Promote Wakefulness, Destabilize NREM Sleep, Suppress REM Sleep, and Regulate Cortical Dynamics

Abstract: Glutamatergic neurons in the preoptic hypothalamus promote wakefulness, destabilize NREM sleep, suppress REM sleep, and regulate cortical dynamics Abbreviated tittle: Wake and EEG control by preoptic Vglut2+ neurons

Cited by 33 publications

References 100 publications

OFF-periods reduce the complexity of neocortical activity during sleep

OFF-periods reduce the complexity of neocortical activity during sleep

Biological Clocks and Immune Function

Cross species review of the physiological role of d-serine in translationally relevant behaviors

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