Molecular and functional characterization of the mouse intrinsic cardiac nervous system.

BACKGROUND: The intrinsic cardiac nervous system (ICNS) refers to clusters of neurons, located within the heart, that participate in the neuronal regulation of cardiac functions and that are involved in the initiation of cardiac arrhythmias. Therefore, deciphering its role in cardiac physiology and physiopathology is mandatory. OBJECTIVE: The aim of this study was to provide a phenotypic, electrophysiological, and pharmacological characterization of the mouse ICNS, which is still poorly characterized. METHODS: Global cardiac innervation and phenotypic diversity were investigated using immunohistochemistry on cleared murine hearts and on tissue sections. The patch clamp technique was used for the electrophysiological and pharmacological characterization of isolated mouse intracardiac neurons. RESULTS: We have identified the expression of 7 distinct neuronal markers within the mouse ICNS, thus proving the neurochemical diversity of this network. Of note, it was the first time that the existence of neurons expressing the calcium-binding protein calbindin, neuropeptide Y, and cocaine and amphetamine regulated transcript peptide was described in the mouse. Electrophysiology studies also revealed the existence of 4 different neuronal populations on the basis of their electrical behavior. Finally, we showed that these neurons can be modulated by several neuromodulators. CONCLUSION: This study showed that the mouse ICNS presents a molecular and functional complexity similar to other species and is therefore a suitable model to decipher the role of individual neuronal subtypes regarding the modulation of cardiac function and the initiation of cardiac arrhythmias.

Statistical distortion of supervised learning predictions in optical microscopy induced by image compression.

The growth of data throughput in optical microscopy has triggered the extensive use of supervised learning (SL) models on compressed datasets for automated analysis. Investigating the effects of image compression on SL predictions is therefore pivotal to assess their reliability, especially for clinical use. We quantify the statistical distortions induced by compression through the comparison of predictions on compressed data to the raw predictive uncertainty, numerically estimated from the raw noise statistics measured via sensor calibration. Predictions on cell segmentation parameters are altered by up to 15% and more than 10 standard deviations after 16-to-8 bits pixel depth reduction and 10:1 JPEG compression. JPEG formats with higher compression ratios show significantly larger distortions. Interestingly, a recent metrologically accurate algorithm, offering up to 10:1 compression ratio, provides a prediction spread equivalent to that stemming from raw noise. The method described here allows to set a lower bound to the predictive uncertainty of a SL task and can be generalized to determine the statistical distortions originated from a variety of processing pipelines in AI-assisted fields.

Output-Specific Adaptation of Habenula-Midbrain Excitatory Synapses During Cocaine Withdrawal.

Projections from the lateral habenula (LHb) control ventral tegmental area (VTA) neuronal populations' activity and both nuclei shape the pathological behaviors emerging during cocaine withdrawal. However, it is unknown whether cocaine withdrawal modulates LHb neurotransmission onto subsets of VTA neurons that are part of distinct neuronal circuits. Here we show that, in mice, cocaine withdrawal, drives discrete and opposing synaptic adaptations at LHb inputs onto VTA neurons defined by their output synaptic connectivity. LHb axons innervate the medial aspect of VTA, release glutamate and synapse on to dopamine and non-dopamine neuronal populations. VTA neurons receiving LHb inputs project their axons to medial prefrontal cortex (mPFC), nucleus accumbens (NAc), and lateral hypothalamus (LH). While cocaine withdrawal increases glutamate release from LHb onto VTA-mPFC projectors, it reduces presynaptic release onto VTA-NAc projectors, leaving LHb synapses onto VTA-to-LH unaffected. Altogether, cocaine withdrawal promotes distinct adaptations at identified LHb-to-VTA circuits, which provide a framework for understanding the circuit basis of the negative states emerging during abstinence of drug intake.