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Perrenoud, Q.

Publications and source records attributed to Perrenoud, Q..

6 recordsLinked to original sources

Long-projection astrocytes challenge canonical territorial organization in the sleep-promoting VLPO

The ventrolateral preoptic nucleus (VLPO) is a key hypothalamic hub for non-rapid eye movement sleep, yet the glial architecture supporting its circuits remains poorly understood. Here, combining genetic labeling, high-resolution imaging and calcium imaging, we uncover unexpected astrocyte diversity in the VLPO. In addition to classical protoplasmic astrocytes, we identify paired "doublet" astrocytes associated with high local proliferative activity, as revealed by EdU incorporation. We further describe a population of long-projection astrocytes extending processes far beyond canonical astrocytic territories and contacting distant cells. These projections challenge the classical territorial organization of astrocytes and resemble morphologies previously thought to be restricted to hominid brains. Notably, VLPO astrocytes display robust spontaneous Ca{superscript 2} activity and a highly functionally connected network compared to astrocytes in the cortex and hippocampus. Together, these findings reveal specialized astrocyte architectures and enhanced glial network integration within a sleep-promoting nucleus. Reporting summaryBellier et al. identify three astrocyte subtypes in the sleep-promoting VLPO, including long-projection astrocytes with hominid-like morphology. They uncover marked postnatal gliogenesis, distinctive spontaneous Ca{superscript 2} dynamics, and tightly interconnected astrocytic networks, revealing region-specific astrocyte specialization and enhanced glial communication.

neuroscience↗

Visual experience drives functional reorganization of cortical GABAergic circuits

Sensory experience shapes the development and function of neocortical circuits. Although repeated exposure to sensory stimuli can alter cortical responses, the precise relationship between sensory experience and circuit interactions remains unclear. Here, we examine how cortical circuits are shaped by repeated exposure to varied visual stimuli. We find that visually evoked beta activity, a prominent pattern of visually evoked activity that relies on somatostatin-expressing (SST) GABAergic interneurons, is robustly potentiated by visual experience. Enhanced visual experience leads to increased responses in SST interneurons and suppressed responses in vasoactive intestinal peptide-expressing (VIP) interneurons. In association with this rebalancing of cortical inhibitory activity, experience increases the recruitment and visual selectivity of excitatory neurons. This enhancement is associated with increased SST-IN influence on nearby pyramidal neurons and requires SST-IN activity during visual experience. Visual experience thus selectively reorganizes adult dendrite-targeting inhibitory circuits, promoting network synchrony and enhancing sensory encoding by excitatory neurons.

neuroscience↗

Slow Intrinsic Oscillations in the Ventrolateral Preoptic nucleus

The ventrolateral preoptic nucleus (VLPO) of the hypothalamus plays a major role in the induction and consolidation of non-rapid eye movement (NREM) sleep. While VLPO neurons are heterogeneous, they often display low-threshold spikes (LTS), a feature that supports rhythmic activity. Nevertheless, rhythmic bursting in these VLPO neurons has never been observed. Here, we report that [~]12% of VLPO neurons in a large database of ex vivo patch-clamp recordings display spontaneous rhythmic bursting of action potentials. This activity occurred in putative sleep-promoting neurons, identified by inhibitory responses to noradrenaline (NA), as well as wake-active neurons that were activated by NA. Unsupervised clustering of 24 neurons based on burst properties, electrophysiological, and morphological features revealed three distinct groups: one corresponding to putative sleep-promoting neurons and two wake-active neurons with fast and slow bursting dynamics. Strikingly, membrane potential oscillations persisted in the presence of tetrodotoxin (TTX), indicating that rhythmic bursting is driven by intrinsic mechanisms rather than network activity. These findings suggest that rhythmic bursting is an intrinsic and functionally relevant mode of activity in VLPO neurons, which may contribute to sleep regulation.

neuroscience↗

Beyond rhythm - A framework for understanding the frequency spectrum of neural activity

Cognitive and behavioral processes are often accompanied by changes within well-defined frequency bands of the local field potential (LFP i.e., the voltage induced by neuronal activity). These changes are detectable in the frequency domain using the Fourier transform and are often interpreted as neuronal oscillations. However, aside some well-known exceptions, the processes underlying such changes are difficult to track in time, making their oscillatory nature hard to verify. In addition, many non-periodic neural processes can also have spectra that emphasize specific frequencies. Thus, the notion that spectral changes reflect oscillations is likely too restrictive. In this study, we propose a simple yet versatile framework to understand the frequency spectra of neural recordings. Using simulations, we derive the Fourier spectra of periodic, quasi-periodic and non-periodic neural processes having diverse waveforms, illustrating how these attributes shape their spectral signatures. We then show how neural processes sum their energy in the local field potential in simulated and real-world recording scenarios. We find that the spectral power of neural processes is essentially determined by two aspects: 1) the distribution of neural events in time and 2) the waveform of the voltage induced by single neural events. Taken together, this work guides the interpretation of the Fourier spectrum of neural recordings and indicates that power increases in specific frequency bands do not necessarily reflect periodic neural activity.

neuroscience↗

Flexible perceptual encoding by discrete gamma events

Spatiotemporal patterns of activity in the neocortex are linked to cognitive processes underlying behavior. However, identifying discrete underlying events within highly dynamic cortical network fluctuations remains a critical challenge. Here, we demonstrate a novel analytical method to track network events underlying state-dependent {beta}- (15-30Hz) and {gamma}- (30-80Hz) range activity in mouse primary visual cortex (V1). We find that {gamma} events are selectively associated with enhanced visual encoding by V1 neurons and {gamma} event rate increases prior to visually-cued behavior, accurately predicting single trial visual detection. This relationship between {gamma} events and behavior is sensory modality-specific and rapidly modulated by changes in task objectives. These findings illuminate a distinct role for transient patterns of cortical activity, indicating that {gamma} supports flexible encoding according to behavioral context.

neuroscience↗

A novel mouse model of focal limbic seizures that reproduces behavioral impairment associated with cortical slow wave activity

Patients with focal temporal lobe seizures often experience loss of consciousness. In humans, this loss of consciousness has been shown to be positively correlated with EEG neocortical slow waves, similar to those seen in non-REM sleep. Previous work in rat models of temporal lobe seizures suggests that decreased activity of subcortical arousal systems cause depressed cortical function during seizures. However, these studies were performed under light anesthesia, making it impossible to correlate behavior, and therefore consciousness, to electrophysiologic data. Further, the genetic and molecular toolkits allowing for precise study of the underlying neural circuitry are much more developed in mice than in rats. Here, we describe an awake-behaving, head-fixed mouse model of temporal lobe seizures with both spared and impaired behavior reflecting level of consciousness. Water-restricted mice were head-fixed on a running wheel and trained to associate an auditory stimulus to the delivery of a drop of water from a dispenser. To investigate the effect of seizures on behavior, seizures were electrically induced by stimulating either the left or right hippocampus via a chronically-implanted electrode, while mice were performing the task. Behavior was measured by monitoring lick responses to the auditory stimulus and running speed on the wheel. Further, local field potentials (LFP) signals were simultaneously recorded from hippocampus and orbitofrontal cortex (OFC). Induced focal seizures were 5-30s in duration, and repeatable for several weeks (n=20 animals). Behavioral responses showed a decrease in lick rate to auditory stimulus, and decreased running speed during seizures (p<0.01, n=20 animals). Interestingly, licking response to sound could vary from being impaired to normal during seizures. We found that behavioral impairment is correlated with large amplitude cortical slow-wave activity in frontal cortex, as seen in patients with temporal lobe seizures. These results suggest that induced focal limbic seizures in the mouse can impair consciousness and that the impaired consciousness is correlated with depressed cortical function resembling slow wave sleep. This novel mouse model has similar characteristics with previously studied rat models and human temporal lobe seizures. By leveraging the genetic and molecular techniques available in the mouse, this model can be used to further uncover fundamental mechanisms for loss of consciousness in focal seizures.

neuroscience↗