Biology subjects

Herry, C.

Publications and source records attributed to Herry, C..

14 recordsLinked to original sources

bioRxiv2024

Dye-based Fluorescent Organic Nanoparticles, New Promising Tools for Optogenetics

Dye-based fluorescent organic nanoparticles are a specific class of nanoparticles obtained by nanoprecipitation in water of pure dyes only. While the photophysical and colloidal properties of the nanoparticles strongly depend on the nature of the aggregated dyes, their excellent brightness in the visible and in the near infrared make these nanoparticles a unique and versatile platform for in vivo application. This article examines the promising utilization of these nanoparticles for in vivo optogenetics applications. Their photophysical properties as well as their biocompatibility and their capacity to activate Chrimson opsin in vivo through fluorescence reabsorption process are demonstrated. Additionally, an illustrative example of employing these nanoparticles in fear reduction in mice through close-loop stimulation is presented. Through an optogenetic methodology, the nanoparticles demonstrate an ability to selectively manipulate neurons implicated in the fear response and diminish the latter. Dye-based fluorescent organic nanoparticles represent a promising and innovative strategy for optogenetic applications, holding substantial potential in the domain of translational neuroscience. This work paves the way for novel therapeutic modalities for neurological and neuropsychiatric disorders.

neuroscience↗

bioRxiv2024

Differential contribution of distinct neuronal populations to danger representations

The recognition of specific stimuli and contexts in dangerous situations determines the expression of behaviors needed to appropriately cope with each threatening encounter. Moreover, the detection of common features shared by different dangerous situations allows eliciting general brain states and is necessary for both the expression of preparatory reactions and adaptive behavioral responses in a timely manner. However, it is unknown how general and specific danger representations emerge from the combined activity of different neuronal populations to elicit the expression of adaptive defensive responses. Using a behavioral paradigm that exposes mice to multiple threatening situations and calcium imaging recordings in freely moving mice, we investigated the role of different dmPFC neuronal populations in the generation of general and specific neuronal representations. Our results suggest that the population of somatostatin positive (SST+) interneurons generates specific representations while those arising from parvalbumin positive (PV+) interneurons are mainly unspecific. Together, this data suggests the presence of distinct information in different dmPFC neurons allowing a collective encoding of both general and specific danger representations.

neuroscience↗

bioRxiv2023

Genetic labeling of embryonically-born dentate granule neurons in young mice using the PenkCre mouse line

The dentate gyrus (DG) of the hippocampus is a mosaic of dentate granule neurons (DGNs) accumulated throughout life. While many studies focused on the morpho-functional properties of adult-born DGNs, much less is known about DGNs generated during development, and in particular those born during embryogenesis. One of the main reasons for this gap is the lack of methods available to specifically label and manipulate embryonically-born DGNs. Here, we have assessed the relevance of the PenkCre mouse line as a genetic model to target this embryonically-born population. In young animals, PenkCre expression allows to tag neurons in the DG with positional, morphological and electrophysiological properties characteristic of DGNs born during the embryonic period. In addition, PenkCre+ cells in the DG are distributed in both blades along the entire septo-temporal axis. This model thus offers new possibilities to explore the functions of this underexplored population of embryonically-born DGNs.

neuroscience↗

bioRxiv2023

CA3 hippocampal synaptic plasticity supports ripple physiology during memory consolidation

Consolidation of recent memory depends on hippocampal activities during resting periods that immediately follows the memory encoding. There, Slow Save Sleep phases appear as privileged periods for memory consolidation as hosting the ripple activities, which are fast oscillations generated within the hippocampus whose inactivation leads to memory impairment. If a strong correlation exists between these replays of recent experience and the persistence of behavioural adaptations, the mobilisation, the localization and the importance of synaptic plasticity events in this process is largely unknown. To question this issue, we used cell-surface AMPAR immobilisation to block post-synaptic LTP within the hippocampal region at various steps of the memory process. 1- Our results show that hippocampal synaptic plasticity is engaged during the consolidation but is dispensable during the encoding or recall of a working memory based spatial memory task. 2- Blockade of plasticity during sleep leads to apparent forgetting of the encoded rule. 3- In vivo recordings of ripple activities during resting periods show a strong impact of AMPAR immobilization solely, prominent when a rule has been recently encoded. 4- In situ examination of the interplay between AMPAR mobility, hippocampal plasticity and spontaneous ripple activities pointed that post-synaptic plasticity at CA3-CA3 recurrent synapses support ripple generation. As crucial results were reproduced using another AMPARM blockade strategy, we propose that after rule encoding, post-synaptic AMPAR mobility at CA3 recurrent synapses support the generation of ripples necessary for rule consolidation.

neuroscience↗

bioRxiv2023

The geometry of appetitive-aversive value representations in medial prefrontal networks

The value of rewards and punishments - namely, how good or bad they are perceived - guides approach or avoidance behaviors. Valence refers to the negative or positive "sign" of the state elicited by an event, whereas salience refers to the amount of attention an event attracts, disregarding its valence. While identifying these signals conveys critical information for understanding circuits involved in emotional processing, they are often confounded due to their underlying correlation. Moreover, whereas the study of the neural basis of value coding has been intensively investigated in the appetitive domain, the neural substrates for how aversive values are established for different threat intensities and guide defensive behavior have yet to be discovered. The dorsomedial prefrontal cortex (dmPFC) is a key region in the control of defensive actions, although how different aversive values are encoded at the neuronal level within this region and drive defensive behaviors remains unknown. Here, we developed an instrumental approach/avoidance task in mice that, by matching motivational salience levels elicited by cues predicting rewards or punishments, allows univocally disentangling the presence of either salience, valence, or value coding from brain signals. We performed freely moving large neuronal population calcium imaging in the dmPFC of mice performing our task, conducting appetitive/aversive outcome devaluation/revaluation behavioral tests. We found that, while a similar fraction of single neurons decoded valence and value information, and only a minor fraction decoded salience, value coding was observed at the neuronal population level. Moreover, different value representations of the same valence lay within similar subspaces of the neural state space while values of opposed valence were encoded in orthogonal subspaces, unveiling how the brain stores associative appetitive and aversive information in medial prefrontal networks.

neuroscience↗

bioRxiv2023

Dopamine enhances population coding of fear in prefrontal cortex.

Fear acquisition is a survival strategy enabling the prediction of potential threat on the basis of reliable environmental cues identified through associative learning. In this study we investigated the role of dorsomedial prefrontal cortex (dmPFC) - ventral tegmental area (VTA) coordination in fear acquisition. Despite the implication of a VTA-dmPFC circuit in fear acquisition, the mechanism by which the two structures interact and, most particularly, the manner in which dmPFC neuronal dynamics are impacted by DA remain largely unexplored. The present paper addresses this question by means of behavioral, optogenetic, and electrophysiological experiments. We first characterize the dynamics of VTA neurons and their relation with dmPFC during fear acquisition to then manipulate this dopaminergic inputs to dmPFC and address its role in fear memory expression and its dmPFC neuronal correlates. Our data first unravel that VTA neurons develop a conditioned stimulus coding activity through consecutive pairings with the unconditioned aversive stimulus and maintain this predictive activity overnight. Shutting down these VTA inputs to dmPFC resulted in a reduction in fear behavior and changes in population coding. These alteration were specific to spontaneous expression of fear and the population coding supporting that behavior. Our data show that dopamine role is to increase the accuracy of fear coding in dmPFC.

neuroscience↗

bioRxiv2022

Pyfiber: an open source python library that facilitates the merge of operant behavior and fiber photometry- focus on intravenous self-administration

BackgroundAdvances in in vivo fluorescent imaging have exploded with the recent developments of genetically encoded calcium indicators (GECIs) and fluorescent biosensors. Their use with a bulk imaging technique such as fiber photometry (FP) can be highly beneficial in identifying neuronal signatures in behavioral neuroscience experiments. Popularity of FP has grown rapidly. Initially applied to classical conditioning, its integration into operant behavior paradigms is progressing. However, in operant behavior, protocols can be complex including numerous scheduled events, while behavioral responses can occur in diverse and non-predictable manners. To optimize data processing and analysis, there is a need for a flexible tool to extract and relate behavioral and fiber photometry data occurring over operant sessions. New MethodApplied to cocaine intravenous self-administration (using Imetronic polymodal apparati) and FP recordings in the prelimbic cortex (using Doric Lenses photometry system) in the rat, we established Pyfiber, an outline and open source data analysis python library that facilitates the merge of fiber photometry (using Doric Lenses) with operant behavior (using Imetronic). It allows relating activity changes within a neuronal population to the various behavioral responses and events occurring during operant behavior. ResultsWe show some of the possibilities and benefits of the analytical tool Pyfiber, which helps to: 1. Extract the different types of events that occur in an operant session, 2. Extract and process the fiber photometry signals, 3. Select events of interest and align them to the corresponding fiber photometry signals, 4. Apply the most appropriate type of FP signal normalization and signal analysis according to the studied type of event or behavioral response, 5. Run data extraction and analysis on multiple individuals and sessions at the same time, 6. Collect results in an easily readable format for statistical analysis. From our data and through the use of Pyfiber, we show that we can successfully record and easily analyze calcium transients surrounding events occurring during a cocaine self-administration paradigm in the rat. Comparison with Existing Method(s)While other analytical tools can be used for streamlined fiber photometry analysis, they are either too rigid and specific or too flexible, requiring extensive coding to properly fit the data sets. Additionally, current tools do not permit easy exploration of multiple types of events in parallel- something that is possible with Pyfiber. ConclusionsThis work established an open source resource that facilitates the pairing of fiber photometry recordings (using Doric Lenses photometry system) with operant behavior (using Imetronic polymodal apparati), setting a solid foundation in analyzing the relationship between different dimensions of operant behavior with fluorescent signals from brain regions of interest.

neuroscience↗

bioRxiv2022

Brainstem somatostatin-expressing cells control the emotional regulation of pain behavior

In threatening situations, animals exhibit a broad range of behavioral and autonomic responses. As such, a crucial adaptive response is the inhibition of pain, which facilitates relevant defensive behaviors that promote survival. Whereas the structures and mechanisms involved in fear and pain behaviors are well documented, little is known about the precise neuronal mechanisms mediating the emotional regulation of endogenous pain-suppression. Here, we used a combination of behavioral, anatomical, optogenetic, and electrophysiological approaches to investigate, in male mice, the role of somatostatin-expressing cells in the ventrolateral periaqueductal gray matter (SST+ vlPAG cells) in the control of analgesia induced during defensive states. Our data indicate that optogenetic inhibition of SST+ vlPAG cells promotes analgesia irrespective of animal defensive state. In contrast, optogenetic activation of long-range SST+ vlPAG cells that project to the rostral ventromedial medulla (RVM) abolishes the analgesia mediated by fear behavior. Together, these results identify a novel circuit mechanism composed of long-range SST+ vlPAG cells projecting to the RVM that regulate analgesia elicited during defensive states.

neuroscience↗

bioRxiv2022

Basal amygdala inputs to the medial prefrontal cortex mediate fear memory strengthening

Survival critically depends on the memorization of stimuli recurrently predicting pleasant or aversive experiences. Memory strengthening by additional learning is a critical process allowing the long-term stabilization of learned aversive experience. However, the underlying neuronal circuits and mechanisms are still largely unknown. Using a combination of single unit recordings and optogenetic manipulations, we observed that strengthened fear responses following successive fear learning episodes led to a remapping in the population of basal amygdala (BA) neurons encoding the conditioned stimulus. Moreover, strengthened fear responses were preferentially carried by BA neurons projecting to the medial prefrontal cortex (mPFC). Selective optogenetic inhibition of BA terminals in the mPFC during a second learning episode prevented fear memory strengthening. Together, our findings suggest that fear memory strengthening with additional training critically depends on the selective remapping of a subpopulation of BA neurons projecting to the mPFC.

neuroscience↗

bioRxiv2021

Selection of active defensive behaviors relies on extended amygdala dopamine D2 receptors

The ability to efficiently switch from one defensive strategy to another maximizes an animals chance of survival. Here, we demonstrate that the selection of active defensive behaviors requires the coordinated activation of dopamine D2 receptor (D2R) signaling within the central extended amygdala (EA) comprising the nucleus accumbens, the oval bed nucleus stria terminals and the central amygdala. We find that discriminative learning between predictive and non-predictive threat auditory stimuli is unaltered in mice carrying a temporally-controlled deletion of D2R within output neurons of the EA. In contrast, intact EA D2R signaling is required for active avoidance learning and innate flight responses triggered by a visual threat stimulus (looming). Consequently, conditional D2R knockout mice biased defensive responses toward passive defensive strategies. Altogether, these findings identify EA D2R signaling as an important mechanism by which DA regulates the switch from passive to active defensive behaviors, regardless whether of learned or innate threat.

neuroscience↗

bioRxiv2020

Time-dependent roles of adolescent- and adult-born dentate granule neurons in spatial learning

The dentate gyrus presents the peculiarity to be formed after birth in rodents. Adolescence is a very sensitive period during which cognitive competences are programmed. We investigated and compared the role of dentate neurons born during adolescence or generated during adulthood. We demonstrated that the ontogenetic stage of dentate neurons in relation to when they are generated dictates their participation in memory processes.

neuroscience↗

bioRxiv2018

Dissociation of fear initiation and maintenance by breathing-driven prefrontal oscillations

Does the body play an active role in emotions? Since the original James/Cannon controversy this debate has mainly been fueled by introspective accounts of human experience. Here, we use the animal model to demonstrate a physiological mechanism for bodily feedback and its causal role in the stabilization of emotional states. We report that during fear-related freezing mice breathe at 4Hz and show, using probabilistic modelling, that optogenetic perturbation of this feedback specifically reduces freezing maintenance without impacting its initiation. This rhythm is transmitted by the olfactory bulb to the prefrontal cortex where it organizes neural firing and optogenetic probing of the circuit demonstrates frequency-specific tuning that maximizes prefrontal cortex responsivity at 4Hz, the breathing frequency during freezing. These results point to a brain-body-brain loop in which the initiation of emotional behavior engenders somatic changes which then feedback to the cortex to directly participate in sustaining emotional states.

neuroscience↗

bioRxiv2018

First evidence that intrinsic fetal heart rate variability exists and is affected by chronic hypoxia

INTRODUCTIONIt is established that normal fetal HRV represents the integration of the autonomic nervous system, components due to fetal body and breathing movements, baroreflex and circadian processes. There is also some evidence of possible intrinsic pacemaker rhythms of the SA node affecting HRV in adult disease.\n\nHowever, whether intrinsic HRV (iHRV) exists in the fetal period and whether this is affected by chronic fetal hypoxia has never been tested. Here, we show iHRV in isolated hearts from fetal sheep in late gestation and significant effects on iHRV of pregnancy complicated by chronic fetal hypoxia.\n\nMETHODSChronically catheterized ewes carrying male singleton fetuses were exposed to normoxia (n=6) or hypoxia (10% inspired O2, n=9) for the last third of gestation (105-138 dG; term~145 dG) in bespoke isobaric chambers, as before. At 138dG, isolated hearts were studied under a Langendorff preparation. CIMVA software was used to calculate basal iHRV matrix indices across five signal-analytical domains from the systolic peaks within 15 min segments in each heart, as before. Data presented as Mean+SEM were compared by the Students t test for unpaired data.\n\nRESULTSThis level of maternal H yields fetal PaO2 values of 11.5{+/-}0.6 relative to controls of 20.9{+/-}0.5 mmHg. Hearts isolated from H pregnancy showed approximately 4-fold increases in the Grid transformation feature as well as the AND similarity index (sgridAND, informational domain) and a 4-fold reduction in the Scale dependent Lyapunov exponent slope (SDLEalpha, invariant domain). We also detected a 2-fold reduction in the Recurrence quantification analysis, the percentage of laminarity and recurrences and maximum diagonal line (pL, pR, dlmax, all from geometric domain) and (AsymI, energetic domain). For dlmax and sgridAND measures, this is also correlated to left ventricular end-diastolic pressure (LVEDP) across both groups.\n\nCONCLUSIONSThe isolated fetal hearts from the hypoxic pregnancy group exhibit a lower complexity in iHRV. This is the first evidence that iHRV originates in fetal life and that chronic fetal hypoxia significantly alters it.\n\nSignificance StatementFetal heart rate variability (fHRV) is an important indicator of health and disease, yet its physiological origins are poorly understood. Both, the heart, intrinsically, and extrinsic systems, such as the brain, are hypothesized to contribute to HRV. In a near-term fetal sheep model of human development, we identified fHRV components reflecting intrinsic contributions to fHRV. In addition, we show that these intrinsic fHRV components carry memory of chronic oxygen deprivation the fetus experienced during the last third of gestation.

physiology↗

bioRxiv2017

Real-time changepoint detection for noisy biological time series

Experimentally and clinically collected time series data are often contaminated with significant confounding noise, creating short, noisy time series. This noise, due to natural variability and measurement error, poses a challenge to conventional change point detection methods.\n\nWe propose a novel and robust statistical method for change point detection for noisy biological time sequences. Our method is a significant improvement over traditional change point detection methods, which only examine a potential anomaly at a single time point. In contrast, our method considers all suspected anomaly points and considers the joint probability distribution of the number of change points and the elapsed time between two consecutive anomalies. We validate our method with three simulated time series, a widely accepted benchmark data set, two geological time series, a data set of ECG recordings, and a physiological data set of heart rate variability measurements of fetal sheep model of human labour, comparing it to three existing methods. Our method demonstrates significantly improved performance over the existing pointwise detection methods.

bioinformatics↗