Publications by authors named "Quilichini P"

Article Synopsis
  • Myelin plasticity is essential for learning and memory in the adult brain, and any loss or alteration can impair brain function.
  • In a mouse model study, researchers found that while spontaneous remyelination can occur after demyelination, the newly formed myelin often does not match the original structure, impacting cognitive function.
  • The study revealed that even after remyelination, there were long-term cognitive deficits, including issues with memory and flexibility, likely due to changes in myelin in key brain areas like the medial prefrontal cortex and hippocampus.
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  • Cognitive deficits are a common comorbidity accompanying epilepsy, indicating that neural dynamics supporting cognitive functions are permanently changed rather than just affected by the occasional seizures.
  • The study investigates how information processing—specifically storage and sharing of information—is disrupted in the hippocampus and entorhinal cortex in rats with experimental epilepsy.
  • Findings suggest that the organization and timing of these cognitive functions in epilepsy are less ordered and more chaotic than in healthy controls, which may contribute to the widespread cognitive impairments seen in individuals with epilepsy.
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Neuropixels probes have become a crucial tool for high-density electrophysiological recordings. Although most research involving these probes is in acute preparations, some scientific inquiries require long-term recordings in freely moving animals. Recent reports have presented prosthesis designs for chronic recordings, but some of them do not allow for probe recovery, which is desirable given their cost.

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  • Neuronal survival and reconnection after a stroke are essential for recovery, influenced by the balance of excitation and inhibition in the brain.
  • In the early phase of stroke, enhancing inhibition through GABA receptor modulation can help, whereas in later stages, the opposite modulation can support recovery.
  • The study hypothesizes that octadecaneuropeptide (ODN), an astrocyte-derived modulator, can initially hinder recovery in acute stroke but, when used after three days, promotes motor recovery by correcting cortical excitability.
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Over the past twenty years, the reuniens and rhomboid (ReRh) nuclei, which constitute the ventral midline thalamus, have received constantly growing attention. Since our first review article about the functional contributions of ReRh nuclei (Cassel et al., 2013), numerous (>80) important papers have extended anatomical knowledge, including at a developmental level, introduced new and very original electrophysiological insights on ReRh functions, and brought novel results on cognitive and non-cognitive implications of the ReRh.

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Days and weeks after an ischemic stroke, the peri-infarct area adjacent to the necrotic tissue exhibits very intense synaptic reorganization aimed at regaining lost functions. In order to enhance functional recovery, it is important to understand the mechanisms supporting neural repair and neuroplasticity in the cortex surrounding the lesion. Brain oscillations of the local field potential (LFP) are rhythmic fluctuations of neuronal excitability that synchronize neuronal activity to organize information processing and plasticity.

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The consolidation of declarative memories is believed to occur mostly during sleep and involves a dialogue between two brain regions, the hippocampus and the medial prefrontal cortex. The information encoded during experience by neuronal assemblies is replayed during sleep leading to the progressive strengthening and integration of the memory trace in the prefrontal cortex. The gradual transfer of information from the hippocampus to the medial prefrontal cortex for long-term storage requires the synchronization of cortico-hippocampal networks by different oscillations, like ripples, spindles, and slow oscillations.

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Neural computation is associated with the emergence, reconfiguration, and dissolution of cell assemblies in the context of varying oscillatory states. Here, we describe the complex spatiotemporal dynamics of cell assemblies through temporal network formalism. We use a sliding window approach to extract sequences of networks of information sharing among single units in hippocampus and entorhinal cortex during anesthesia and study how global and node-wise functional connectivity properties evolve through time and as a function of changing global brain state (theta vs.

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The nucleus reuniens (NR) is an important anatomic and functional relay between the medial prefrontal cortex (mPFC) and the hippocampus (HPC). Whether the NR controls neuronal assemblies, a hallmark of information exchange between the HPC and mPFC for memory transfer/consolidation, is not known. Using simultaneous local field potential and unit recordings in NR, HPC, and mPFC in male rats during slow oscillations under anesthesia, we identified a reliable sequential activation of NR neurons at the beginning of UP states, which preceded mPFC ones.

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The extent of the networks that control the genesis and modulation of hippocampal sharp-wave ripples (SPW-Rs), which are involved in memory consolidation, remains incompletely understood. Here, we performed a detailed in vivo analysis of single cell firing in the lateral supramammillary nucleus (lSuM) during theta and slow oscillations, including SPW-Rs, in anesthetized rats. We classified neurons as SPW-R-active and SPW-R-unchanged according to whether or not they increased their firing during SPW-Rs.

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Neural computation occurs within large neuron networks in the dynamic context of varying brain states. Whether functions are performed by specific subsets of neurons and whether they occur in specific dynamical regimes remain poorly understood. Using high-density recordings in the hippocampus, medial entorhinal, and medial prefrontal cortex of the rat, we identify computing substates where specific computing hub neurons perform well-defined storage and sharing operations in a brain state-dependent manner.

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Objective: Neural electrophysiology is often conducted with traditional, rigid depth probes. The mechanical mismatch between these probes and soft brain tissue is unfavorable for tissue interfacing. Making probes compliant can improve biocompatibility, but as a consequence, they become more difficult to insert into the brain.

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Gamma oscillations are involved in long-range coupling of distant regions that support various cognitive operations. Here we show in adult male rats that synchronized bursts of gamma oscillations bind the hippocampus (HPC) and prefrontal cortex (mPFC) during slow oscillations and slow-wave sleep, a brain state that is central for consolidation of memory traces. These gamma bursts entrained the firing of the local HPC and mPFC neuronal populations.

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This paper is a result of work of the AES/ILAE Translational Task Force of the International League Against Epilepsy. The aim is to provide acceptable standards and interpretation of results of electrophysiological depth recordings in vivo in control rodents.

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Autoclaving, the most widely available sterilization method, is applied to poly(3,4-ethylenedioxythiophene) doped with polystyrene sulfonate (PEDOT:PSS) electrophysiology devices. The process does not harm morphology or electrical properties, while it effectively kills E. coli intentionally cultured on the devices.

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Article Synopsis
  • * Researchers conducted simultaneous recordings of brain activity, blood flow, and oxygen levels in anesthetized rats, focusing on the somatosensory cortex during induced epileptiform discharges.
  • * Findings indicate a strong correlation between local field potentials (LFP) and both blood flow and tissue oxygen levels, highlighting that activity in interneurons plays a crucial role in the body's vascular and metabolic responses during seizures, unlike principal neurons.
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Organic electrochemical transistors are integrated on depth probes to achieve localized electrical stimulation of neurons. The probes feature a mechanical delamination process which leaves only a 4 μm thick film with embedded transistors inside the brain. This considerably reduces probe invasiveness and correspondingly improves future brain-machine interfaces.

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Article Synopsis
  • Researchers studied various methods to measure functional connectivity in networks using techniques like electrophysiology and fMRI, noting that different measures can produce varying results for the same data.
  • They established a systematic framework to evaluate 42 functional connectivity methods based on 10,000 simulated datasets from five generative models, focusing on optimizing parameters like window size.
  • The study assessed these methods across different signal-to-noise ratios and network structures, and a MATLAB toolbox was created to help others conduct similar analyses.
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  • Seizures, which define epilepsy, can happen spontaneously or be induced under various conditions, suggesting universal characteristics across different species and situations.
  • The researchers created a mathematical model called Epileptor to analyze seizure dynamics, using in vitro mouse hippocampi as an experimental system, identifying five key state variables for understanding seizure behavior.
  • The study demonstrated that seizures occur due to a collision of brain activity with a specific threshold (separatrix), leading to well-defined mathematical events during the onset and offset of seizures, corroborated by results across different models and species.
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In vivo electrophysiological recordings of neuronal circuits are necessary for diagnostic purposes and for brain-machine interfaces. Organic electronic devices constitute a promising candidate because of their mechanical flexibility and biocompatibility. Here we demonstrate the engineering of an organic electrochemical transistor embedded in an ultrathin organic film designed to record electrophysiological signals on the surface of the brain.

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Neuronal firing pattern, which includes both the frequency and the timing of action potentials, is a key component of information processing in the brain. Although the relationship between neuronal output (the firing pattern) and function (during a task/behavior) is not fully understood, there is now considerable evidence that a given neuron can show very different firing patterns according to brain state. Thus, such neurons assembled into neuronal networks generate different rhythms (e.

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  • - Postinhibitory rebound (PIR) is significant for biological rhythms but has limited in vivo evidence, which this study addresses by observing PIR in rat brain cells during different oscillation states.
  • - In anesthetized rats, PIR was found to occur more frequently among GABAergic interneurons during theta oscillations (4-6 Hz) compared to slower oscillations (0.5-2 Hz), suggesting a link between brain state and PIR.
  • - A theoretical model involving Fitzhugh-Nagumo neurons supported that variations in spiking rates influenced by periodic drives could explain the dependence of PIR on brain states, highlighting its potential impact on neural network synchrony and rhythm generation.
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Gamma-frequency oscillations (GFOs, >40 Hz) are a general network signature at seizure onset at all stages of development, with possible deleterious consequences in the immature brain. At early developmental stages, the simultaneous occurrence of GFOs in different brain regions suggests the existence of a long-ranging synchronizing mechanism at seizure onset. Here, we show that hippocamposeptal (HS) neurons, which are GABA long-range projection neurons, are mandatory to drive the firing of hippocampal interneurons in a high-frequency regime at the onset of epileptiform discharges in the intact, immature septohippocampal formation.

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Glucose is the primary energetic substrate of the brain, and measurements of its metabolism are the basis of major functional cerebral imaging methods. Contrary to the general view that neurons are fueled solely by glucose in proportion to their energetic needs, recent in vitro and ex vivo analyses suggest that glucose preferentially feeds astrocytes. However, the cellular fate of glucose in the intact brain has not yet been directly observed.

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