Biology subjects

Alfonsa, H.

Publications and source records attributed to Alfonsa, H..

6 recordsLinked to original sources

bioRxiv2026

Opposing intrinsic and synaptic plasticity mechanisms stabilize altered cortical networks during sleep deprivation

Sleep deprivation alters brain activity and impairs performance, yet many aspects of behaviour are preserved in this state. In the cortex for example, sleep deprivation increases neuronal firing rates and low-frequency oscillatory activity, but cortical circuits continue to process information. Recent work has implicated synaptic inhibition in these changes, with sleep deprivation causing cortical GABAA receptor (GABAAR) signalling to become depolarizing due to changes in chloride gradients that determine the GABAAR reversal potential (EGABAAR). The impact in the intact brain remains unclear, however, as both the degree and effects of EGABAAR changes depend on network activity and intrinsic properties of neurons. To address this, we perform in vivo gramicidin recordings from cortical pyramidal neurons in sleep-deprived mice. We reveal that synaptic EGABAAR is depolarised to values sufficient to support bona fide excitatory GABAAR signalling, through combined network-dependent and cell-autonomous effects. In the face of this depolarizing drive, cortical neurons engage spike threshold adaptation mechanisms that limit their excitability. These opposing effects stabilise activity in simulations of sleep-deprived cortical networks and reproduce the increased firing rates and low-frequency oscillatory activity. This interplay between intrinsic and synaptic mechanisms may help maintain network stability during sleep deprivation, while reducing flexibility for subsequent adaptation.

neuroscience↗

bioRxiv2024

Cortical layer 6b mediates state-dependent changes in brain activity and effects of orexin on waking and sleep

One of the most distinctive features of the mammalian cerebral cortex is its laminar structure. Of all cortical layers, layer 6b (L6b) is by far the least-studied, despite exhibiting direct sensitivity to orexin and having widespread connectivity, suggesting an important role in regulating cortical oscillations and brain state. We performed chronic electroencephalogram (EEG) recordings in mice in which a subset of L6b neurons was conditionally "silenced", during undisturbed conditions, after sleep deprivation (SD), and after intracerebroventricular (ICV) administration of orexin. While the total amount of waking and sleep or the response to SD were not altered, L6b-silenced mice showed a slowing of theta frequency (6-9 Hz) during wake and REM sleep, and a marked reduction of total EEG power, especially in NREM sleep. The infusion of orexin A increased wakefulness in both genotypes, but subsequent levels of EEG slow-wave activity during NREM sleep were lower in L6b-silenced animals in the occipital derivation. In summary, these results demonstrate a role for cortical L6b in state-dependent brain oscillations and in the response to orexinergic neurotransmission. Our findings provide new insights in functions of L6b neurons and could inform the understanding of abnormal regulation of brain states in neurodevelopmental and psychiatric disorders.

neuroscience↗

bioRxiv2023

Metaplasticity of cortical glutamatergic LTP by diurnal intracellular chloride dynamics

Neural plasticity varies depending on the time of day and preceding sleep-wake history. It is unclear however, how diurnal changes in cellular physiology modulate a neurons propensity to exhibit synaptic plasticity. Recently it has been shown that cortical pyramidal neurons exhibit diurnal changes in their transmembrane chloride gradients, which shift the equilibrium potential for GABAA receptors (EGABAA). Here we demonstrate that diurnal EGABAA affects membrane potential dynamics and glutamatergic long-term potentiation (LTP) elicited by high-frequency spiking activity in pyramidal neurons of mouse cortex. More depolarized EGABAA values associated with the active period facilitate LTP induction by promoting residual depolarization during synaptically-evoked spiking. Diurnal differences in LTP can be reversed by switching the EGABAA-dependent effects on membrane potential dynamics, either by direct current injection or pharmacologically altering EGABAA. These findings identify EGABAA as a metaplastic regulator of glutamatergic synaptic potentiation, which has implications for understanding synaptic plasticity during waking and sleep.

neuroscience↗

bioRxiv2022

Effects of clozapine-N-oxide and compound 21 on sleep in laboratory mice

Designer Receptors Exclusively Activated by Designer Drugs (DREADDs) are chemogenetic tools for remote control of targeted cell populations using chemical actuators that bind to modified receptors. Despite the popularity of DREADDs in neuroscience and sleep research, potential effects of the DREADD actuator clozapine-N-oxide (CNO) on sleep have never been systematically tested. Here we show that intraperitoneal injections of commonly used CNO doses (1, 5, and 10 mg/kg) alter sleep in wild-type male laboratory mice. Using electroencephalography (EEG) and electromyography (EMG) to analyse sleep, we found a dose-dependent suppression of rapid eye-movement (REM) sleep, changes in EEG spectral power during non-REM (NREM) sleep, and altered sleep architecture in a pattern previously reported for clozapine. Effects of CNO on sleep could arise from back-metabolism to clozapine or binding to endogenous neurotransmitter receptors. Interestingly, we found that the novel DREADD actuator, compound 21 (C21, 3 mg/kg), similarly modulates sleep despite a lack of back-metabolism to clozapine. Our results demonstrate that both CNO and C21 can modulate sleep of mice not expressing DREADD receptors. This implies that back-metabolism to clozapine is not the sole mechanism underlying side effects of chemogenetic actuators. Therefore, any chemogenetic experiment should include a DREADD-free control group injected with the same CNO, C21 or newly developed actuator. We suggest that electrophysiological sleep assessment could serve as a sensitive tool to test the biological inertness of novel chemogenetic actuators.

neuroscience↗

bioRxiv2021

Somnotate: A robust automated sleep stage classifier that exceeds human performance and identifies ambiguous states in mice

Electrophysiological recordings from freely behaving animals are a widespread and powerful mode of investigation in sleep research. These recordings generate large amounts of data that require sleep stage annotation (polysomnography), in which the data is parcellated according to three vigilance states: awake, rapid eye movement (REM) sleep, and non-REM (NREM) sleep. Manual and computational annotation methods currently ignore intermediate states because the classification features become ambiguous. However, these intermediate states contain important information regarding vigilance state dynamics. Here, we present a new classifier, "Somnotate", which produces automated annotation accuracies that exceed human expert performance on mouse electrophysiological data, is robust to errors in the training data, compatible with different recording configurations, and maintains high performance during experimental interventions. Somnotate is a probabilistic classifier based on a combination of linear discriminant analysis (LDA) with a hidden Markov model (HMM). A unique feature of Somnotate is that it quantifies and reports the certainty of its annotations, enabling the experimenter to identify ambiguous recording periods in a principled manner. We leverage this feature to identify epochs that exhibit intermediate vigilance states, revealing that many of these cluster around state transitions, whereas others correspond to failed attempts to transition. We show that the success rates of different transitions can be experimentally manipulated and explain previously observed sleep patterns. Somnotate can thus facilitate the study of sleep stage transitions and offers new insight into the mechanisms underlying sleep-wake dynamics. Author summaryTypically, the three different vigilance states - awake, REM sleep, and non-REM sleep - exhibit distinct features that are readily recognised in electrophysiological recordings. However, particularly around vigilance state transitions, epochs often exhibit features from more than one state. These intermediate vigilance states pose challenges for existing manual and automated classification methods, and are hence often ignored. Here, we present Somnotate - an open-source, highly accurate and robust sleep stage classifier, which supports research into intermediate states and sleep stage dynamics. Somnotate quantifies and reports the certainty of its annotations, enabling the experimenter to identify abnormal epochs in a principled manner. We use this feature to identify intermediate states and to detect unsuccessful attempts to switch between vigilance states. This provides new insights into the mechanisms of vigilance state transitions in mice, and creates new opportunities for future experiments.

neuroscience↗

bioRxiv2021

Intraneuronal chloride levels encode tiredness in cortex

Continuous periods of wakefulness are associated with reduced performance levels due to the build-up of sleep pressure in active regions of the brain. These effects manifest as use-dependent changes in cortical network activity and the mechanisms underlying these changes represent targets for overcoming the cognitive effects of tiredness. Here we reveal a central role for intraneuronal chloride levels, which increase in a use-dependent manner during waking, and reduce the strength of local synaptic inhibition in mouse cortex. Activity-dependent increases in chloride account for spatial and temporal features of sleep pressure, they underlie cortical network oscillations in the sleep-deprived state, and targeting chloride regulation in cortex can rescue performance levels when tired. These findings provide a missing link between sleep-wake history, synaptic transmission and cortical dynamics. One-Sentence SummaryThe effects of sleep pressure on cortical function are caused by use-dependent changes in chloride-mediated synaptic inhibition.

neuroscience↗