Hippocampal ripples coincide with "up-state" and spindles in retrosplenial cortex.

During NREM sleep, hippocampal sharp-wave ripple (SWR) events are thought to stabilize memory traces for long-term storage in downstream neocortical structures. Within the neocortex, a set of distributed networks organized around retrosplenial cortex (RS-network) interact preferentially with the hippocampus purportedly to consolidate those traces. Transient bouts of slow oscillations and sleep spindles in this RS-network are often observed around SWRs, suggesting that these two activities are related and that their interplay possibly contributes to memory consolidation. To investigate how SWRs interact with the RS-network and spindles, we combined cortical wide-field voltage imaging, Electrocorticography, and hippocampal LFP recordings in anesthetized and sleeping mice. Here, we show that, during SWR, "up-states" and spindles reliably co-occur in a cortical subnetwork centered around the retrosplenial cortex. Furthermore, retrosplenial transient activations and spindles predict slow gamma oscillations in CA1 during SWRs. Together, our results suggest that retrosplenial-hippocampal interaction may be a critical pathway of information exchange between the cortex and hippocampus.

Placentation and complications of ART pregnancy. An update on the different possible etiopathogenic mechanisms involved in the development of obstetric complications.

INTRODUCTION: Infertile couples' percentage is increasing all over the world, especially in Italy, with high number of children born in our country through assisted reproductive techniques (ART). However, pregnancies obtained by ART have increased potential obstetrical risks which could be caused by fetus-placenta unit development, most of all due to placentation's evolution. These can be reassumed into miscarriage, chromosomal abnormalities, preterm delivery, multiple pregnancy, IUGR, placenta previa, abruptio placentae, preeclampsia and hypertensive disorders, postpartum hemorrhage. METHODS: The aim of this article is to evaluate hypothetic mechanism involved in placentation process and in the etiopathology of ART pregnancies disorders, giving an updating overview of different etiopathogenetic pathways and features. On this scenario, we create an updated review about the etiopathogenesis of abnormal placentation in ART pregnancies. RESULTS: Several features and different etiopathogenetic characteristic might impact differently such as advanced maternal age, poor ovarian reserve, oocyte quality and causes of subfertility themselves, and the ART techniques itself, as hormonal medical treatments and laboratory techniques such as gamete and embryo laboratory culture, cryopreservation versus fresh ET, number of embryos transferred. CONCLUSION: To further explore the molecular mechanisms behind placentation in ART pregnancies, further studies are necessary to gain a better understanding of the various aspects involved, particularly those which are not fully comprehended. This could prove beneficial to clinicians in both ART care and obstetric care, as it could help to stratify obstetrical risk and decrease complications in women undergoing ART, as well as perinatal disorders in their children. Correct placentation is essential for a successful pregnancy for both mother and baby.

Pynapple, a toolbox for data analysis in neuroscience.

Datasets collected in neuroscientific studies are of ever-growing complexity, often combining high-dimensional time series data from multiple data acquisition modalities. Handling and manipulating these various data streams in an adequate programming environment is crucial to ensure reliable analysis, and to facilitate sharing of reproducible analysis pipelines. Here, we present Pynapple, the PYthon Neural Analysis Package, a lightweight python package designed to process a broad range of time-resolved data in systems neuroscience. The core feature of this package is a small number of versatile objects that support the manipulation of any data streams and task parameters. The package includes a set of methods to read common data formats and allows users to easily write their own. The resulting code is easy to read and write, avoids low-level data processing and other error-prone steps, and is open source. Libraries for higher-level analyses are developed within the Pynapple framework but are contained within a collaborative repository of specialized and continuously updated analysis routines. This provides flexibility while ensuring long-term stability of the core package. In conclusion, Pynapple provides a common framework for data analysis in neuroscience.

State-dependent coupling of hippocampal oscillations.

Oscillations occurring simultaneously in a given area represent a physiological unit of brain states. They allow for temporal segmentation of spikes and support distinct behaviors. To establish how multiple oscillatory components co-vary simultaneously and influence neuronal firing during sleep and wakefulness in mice, we describe a multivariate analytical framework for constructing the state space of hippocampal oscillations. Examining the co-occurrence patterns of oscillations on the state space, across species, uncovered the presence of network constraints and distinct set of cross-frequency interactions during wakefulness compared to sleep. We demonstrated how the state space can be used as a canvas to map the neural firing and found that distinct neurons during navigation were tuned to different sets of simultaneously occurring oscillations during sleep. This multivariate analytical framework provides a window to move beyond classical bivariate pipelines for investigating oscillations and neuronal firing, thereby allowing to factor-in the complexity of oscillation-population interactions.

SpikeShip: A method for fast, unsupervised discovery of high-dimensional neural spiking patterns.

Neural coding and memory formation depend on temporal spiking sequences that span high-dimensional neural ensembles. The unsupervised discovery and characterization of these spiking sequences requires a suitable dissimilarity measure to spiking patterns, which can then be used for clustering and decoding. Here, we present a new dissimilarity measure based on optimal transport theory called SpikeShip, which compares multi-neuron spiking patterns based on all the relative spike-timing relationships among neurons. SpikeShip computes the optimal transport cost to make all the relative spike-timing relationships (across neurons) identical between two spiking patterns. We show that this transport cost can be decomposed into a temporal rigid translation term, which captures global latency shifts, and a vector of neuron-specific transport flows, which reflect inter-neuronal spike timing differences. SpikeShip can be effectively computed for high-dimensional neuronal ensembles, has a low (linear) computational cost that has the same order as the spike count, and is sensitive to higher-order correlations. Furthermore, SpikeShip is binless, can handle any form of spike time distributions, is not affected by firing rate fluctuations, can detect patterns with a low signal-to-noise ratio, and can be effectively combined with a sliding window approach. We compare the advantages and differences between SpikeShip and other measures like SPIKE and Victor-Purpura distance. We applied SpikeShip to large-scale Neuropixel recordings during spontaneous activity and visual encoding. We show that high-dimensional spiking sequences detected via SpikeShip reliably distinguish between different natural images and different behavioral states. These spiking sequences carried complementary information to conventional firing rate codes. SpikeShip opens new avenues for studying neural coding and memory consolidation by rapid and unsupervised detection of temporal spiking patterns in high-dimensional neural ensembles.

Heterogeneity of network and coding states in mouse CA1 place cells.

Theta sequences and phase precession shape hippocampal activity and are considered key underpinnings of memory formation. Theta sequences are sweeps of spikes from multiple cells, tracing trajectories from past to future. Phase precession is the correlation between theta firing phase and animal position. Here, we reconsider these temporal processes in CA1 and the computational principles that they are thought to obey. We find stronger heterogeneity than previously described: we identify cells that do not phase precess but reliably express theta sequences. Other cells phase precess only when medium gamma (linked to entorhinal inputs) is strongest. The same cells express more sequences, but not precession, when slow gamma (linked to CA3 inputs) dominates. Moreover, sequences occur independently in distinct cell groups. Our results challenge the view that phase precession is the mechanism underlying the emergence of theta sequences, suggesting a role for CA1 cells in multiplexing diverse computational processes.

Hippocampal gamma and sharp wave/ripples mediate bidirectional interactions with cortical networks during sleep.

Hippocampus-neocortex interactions during sleep are critical for memory processes: Hippocampally initiated replay contributes to memory consolidation in the neocortex and hippocampal sharp wave/ripples modulate cortical activity. Yet, the spatial and temporal patterns of this interaction are unknown. With voltage imaging, electrocorticography, and laminarly resolved hippocampal potentials, we characterized cortico-hippocampal signaling during anesthesia and nonrapid eye movement sleep. We observed neocortical activation transients, with statistics suggesting a quasi-critical regime, may be helpful for communication across remote brain areas. From activity transients, we identified, in a data-driven fashion, three functional networks. A network overlapping with the default mode network and centered on retrosplenial cortex was the most associated with hippocampal activity. Hippocampal slow gamma rhythms were strongly associated to neocortical transients, even more than ripples. In fact, neocortical activity predicted hippocampal slow gamma and followed ripples, suggesting that consolidation processes rely on bidirectional signaling between hippocampus and neocortex.

Replay, the default mode network and the cascaded memory systems model.

The spontaneous replay of patterns of activity related to past experiences and memories is a striking feature of brain activity, as is the coherent activation of sets of brain areas - particularly those comprising the default mode network (DMN) - during rest. We propose that these two phenomena are strongly intertwined and that their potential functions overlap. In the 'cascaded memory systems model' that we outline here, we hypothesize that the DMN forms the backbone for the propagation of replay, mediating interactions between the hippocampus and the neocortex that enable the consolidation of new memories. The DMN may also independently ignite replay cascades, which support reactivation of older memories or high-level semantic representations. We suggest that transient cortical activations, inducing long-range correlations across the neocortex, are a key mechanism supporting a hierarchy of representations that progresses from simple percepts to semantic representations of causes and, finally, to whole episodes.

Combining Cortical Voltage Imaging and Hippocampal Electrophysiology for Investigating Global, Multi-Timescale Activity Interactions in the Brain.

A new generation of optogenetic tools for analyzing neural activity has been contributing to the elucidation of classical open questions in neuroscience. Specifically, voltage imaging technologies using enhanced genetically encoded voltage indicators have been increasingly used to observe the dynamics of large circuits at the mesoscale. Here, we describe how to combine cortical wide-field voltage imaging with hippocampal electrophysiology in awake, behaving mice. Furthermore, we highlight how this method can be useful for different possible investigations, using the characterization of hippocampal-neocortical interactions as a case study.

Emerging investigator series: aqueous-phase processing of atmospheric aerosol influences dissolution kinetics of metal ions in an urban background site in the Po Valley.

Metals are an important atmospheric aerosol component; their impacts on health and the environment depend also on their solubility, dissolution kinetics and chemical form in which they are present in the aerosol (e.g., oxidation state, inorganic salt or oxide/hydroxide, organic complex). In this study, we investigated the impact of fog processing on the solubility and dissolution of metals in PM2.5 samples collected in an urban background site in Padova (Italy). For each sample, we determined the solubility and dissolution kinetics of 17 elements in a solution simulating fog water in the winter season in the Po Valley (pH 4.7, T 5 °C, and water content ∼0.5 g m-3). We also determined water-soluble inorganic and organic compounds having ligand properties. We used the model E-AIM IV to calculate the aerosol liquid water (ALW) content and pH, and we used the model Visual MinteQ to determine the speciation picture of the most important elements under conditions of both deliquescent aerosol (ALW and pH calculated using E-AIM IV, ambient temperature) and simulated fog. We found that the dissolution of Al, Cu, and Fe metal ions, predicted to be largely coordinated with organic compounds under fog conditions, was either immediate or considerably faster in samples collected on days with observed fog events compared with those collected on days having drier conditions. For readily soluble elements, such as As, Cd, Cr, Sr, and Zn, such an effect was not observed. Our study highlights the importance of coordination chemistry in atmospheric aerosol and fog in determining the bioavailability of particle-bound metals.

The Hybrid Drive: a chronic implant device combining tetrode arrays with silicon probes for layer-resolved ensemble electrophysiology in freely moving mice.

Objective. Understanding the function of brain cortices requires simultaneous investigation at multiple spatial and temporal scales and to link neural activity to an animal's behavior. A major challenge is to measure within- and across-layer information in actively behaving animals, in particular in mice that have become a major species in neuroscience due to an extensive genetic toolkit. Here we describe the Hybrid Drive, a new chronic implant for mice that combines tetrode arrays to record within-layer information with silicon probes to simultaneously measure across-layer information.Approach. The design of our device combines up to 14 tetrodes and 2 silicon probes, that can be arranged in custom arrays to generate unique areas-specific (and multi-area) layouts.Main results. We show that large numbers of neurons and layer-resolved local field potentials can be recorded from the same brain region across weeks without loss in electrophysiological signal quality. The drive's lightweight structure (≈3.5 g) leaves animal behavior largely unchanged, compared to other tetrode drives, during a variety of experimental paradigms. We demonstrate how the data collected with the Hybrid Drive allow state-of-the-art analysis in a series of experiments linking the spiking activity of CA1 pyramidal layer neurons to the oscillatory activity across hippocampal layers.Significance. Our new device fits a gap in the existing technology and increases the range and precision of questions that can be addressed about neural computations in freely behaving mice.

Learning differentially shapes prefrontal and hippocampal activity during classical conditioning.

The ability to use sensory cues to inform goal-directed actions is a critical component of behavior. To study how sounds guide anticipatory licking during classical conditioning, we employed high-density electrophysiological recordings from the hippocampal CA1 area and the prefrontal cortex (PFC) in mice. CA1 and PFC neurons undergo distinct learning-dependent changes at the single-cell level and maintain representations of cue identity at the population level. In addition, reactivation of task-related neuronal assemblies during hippocampal awake Sharp-Wave Ripples (aSWRs) changed within individual sessions in CA1 and over the course of multiple sessions in PFC. Despite both areas being highly engaged and synchronized during the task, we found no evidence for coordinated single cell or assembly activity during conditioning trials or aSWR. Taken together, our findings support the notion that persistent firing and reactivation of task-related neural activity patterns in CA1 and PFC support learning during classical conditioning.

Exploratory Analysis in the Differences in Blood Serum and Seminal Plasma of Adipose-Tissue Related Peptides in Obese and Non-Obese Men and Their Correlations With Semen Parameters.

Objectives: Evaluating the relationship between circulating metabolic biomarkers and semen parameters in obese, overweight and normal-weight patients. Methods: Patients were recruited at the "Andrology and Pathophysiology of Reproduction Unit", in Santa Maria Goretti Hospital. Divided into three groups were 98 participants (obese, overweight and normal-weight patients) according to BMI and were analyzed for three adipokines and six hormone peptides in blood serum and seminal plasma using Luminex assay. Standard semen analysis was performed for ejaculate volume, sperm concentration, total sperm count, motility, morphology and leukocytes. Results: In all groups of subjects, we observed a higher concentration of blood serum c-peptide, GIP, PAI-1, leptin, ghrelin and GLP-1 in comparison to seminal plasma; differently, higher levels in seminal plasma were observed for insulin and visfatin. In comparison to the non-obese subjects, obese subjects showed a higher blood serum concentration of c-peptide, GLP-1, GIP and leptin and a higher concentration of seminal plasma of GIP and insulin. Total sperm count, progressive motility, motility, and atypical forms directly correlated with PAI-1 and visfatin, whereas GLP-1 directly correlated only with total progressive motility. Conclusion: Obese men showed a different pattern of blood serum and seminal plasma adipokines and hormone peptides concentrations in comparison to normal-weight men. Furthermore, these molecules correlated with functional seminal parameters. Our findings support the option to consider these molecules as new biomarkers and pharmacological targets for a new therapeutic approach in male infertility. However, further studies identifying other potential biomarkers of male infertility with important clinical implication and characterizing their mechanisms of action are mandatory.

Impact of joint management of a COVID-19 mother and her newborn on the virus transmission: a case report.

BACKGROUND: Since last year, COVID-19, the disease caused by the novel Sars-Cov-2 virus, has been globally spread to all the world. COVID-19 infection among pregnant women has been described. However, transplacental transmission of Sars-Cov-2 virus from infected mother to the newborn is not yet established. The appropriate management of infants born to mothers with confirmed or suspected COVID-19 and the start of early breastfeeding are being debated. CASE PRESENTATION: We report a case of the joint management of a healthy neonate with his mother tested positive for Covid-19 before the delivery and throughout neonatal follow-up. The infection transmission from the mother to her baby is not described, even after a long period of contact between them and breastfeeding. CONCLUSION: It may consider an appropriate practice to keep mother and her newborn infant together in order to facilitate their contact and to encourage breastfeeding, although integration with infection prevention measures is needed.

Hepatobiliary Disease Resection in Patients with Advanced Epithelial Ovarian Cancer: Prognostic Role and Optimal Cytoreduction.

OBJECTIVE: The purpose of this study was to evaluate the feasibility and safety in terms of prognostic significance and perioperative morbidity and mortality of cytoreduction in patients affected by advance ovarian cancer and hepato-biliary metastasis. METHODS: Patients with a least one hepatobiliary metastasis who have undergone surgical treatment with curative intent of were considered for the study. Perioperative complications were evaluated and graded with Accordion severity Classification. Five-year PFS and OS were estimated using the Kaplan-Meier curve. RESULTS: Sixty-seven (20.9%) patients had at least one metastasis to the liver, biliary tract, or porta hepatis. Forty-four (65.7%) and 23 (34.3%) patients underwent respectively high and intermediate complexity surgery according. Complete cytoreduction was achieved in 48 (71.6%) patients with hepato-biliary disease. In two patients (2.9%) severe complications related to hepatobiliary surgery were reported. The median PFS for the patients with hepato-biliary involvement (RT = 0 vs. RT > 0) was 19 months [95% confidence interval (CI) 16.2-21.8] and 8 months (95% CI 6.1-9.9). The median OS for the patients with hepato-biliary involvement (RT = 0 vs. RT > 0) 45 months (95% CI 21.2-68.8 months) and 23 months (95% CI 13.9-32.03). CONCLUSIONS: Hepatobiliary involvement is often associated with high tumor load and could require high complex multivisceral surgery. In selected patients complete cytoreduction could offer survival benefits. Morbidity related to hepatobiliary procedures is acceptable. Careful evaluation of patients and multidisciplinary approach in referral centers is mandatory.

Reduced firing rates of pyramidal cells in the frontal cortex of APP/PS1 can be restored by acute treatment with levetiracetam.

In recent years, aberrant neural oscillations in various cortical areas have emerged as a common physiological hallmark across mouse models of amyloid pathology and patients with Alzheimer's disease. However, much less is known about the underlying effect of amyloid pathology on single cell activity. Here, we used high-density silicon probe recordings from frontal cortex area of 9-month-old APP/PS1 mice to show that local field potential power in the theta and beta band is increased in transgenic animals, whereas single-cell firing rates, specifically of putative pyramidal cells, are significantly reduced. At the same time, these sparsely firing pyramidal cells phase-lock their spiking activity more strongly to the ongoing theta and beta rhythms. Furthermore, we demonstrated that the antiepileptic drug, levetiracetam, counteracts these effects by increasing pyramidal cell firing rates in APP/PS1 mice and uncoupling pyramidal cells and interneurons. Overall, our results highlight reduced firing rates of cortical pyramidal cells as a pathophysiological phenotype in APP/PS1 mice and indicate a potentially beneficial effect of acute levetiracetam treatment.

The Role of 2D/3D Ultrasound to Assess the Response to Neoadjuvant Chemotherapy in Locally Advanced Cervical Cancer.

INTRODUCTION: Different imaging techniques were introduced to improve preoperative clinical staging of locally advanced cervical cancer (LACC) with transvaginal ultrasound (TV-US) or transrectal ultrasound (TR-US) representing a promising staging technique in the evaluation of the local extension of the disease for invasive tumors. The aim of this study was to evaluate the response to neoadjuvant chemotherapy (NACT) in LACC by 2D/3D ultrasound examination. MATERIALS AND METHODS: We prospectively enrolled patients affected by histologically and clinically confirmed LACC. All patients were scheduled for 3 cycles of platinum-based NACT followed by radical surgery. The ultrasound examination was performed at every cycle and within 10 days before surgery. The parameters evaluated were: the volume (automatically computed by the VOCAL software) and the mass vascularization. RESULTS: From March 2010 to March 2019, 157 women were recruited. Among these patients, 12 of them were excluded: 6 for the presence of distant metastases, 4 for rare histology, and 2 for severe comorbidities not allowing the protocol treatment. Seventeen patients after NACT were excluded because they were not amenable to radical surgery. Thus, 128 were considered for the final analysis of whom 106 (83%) were considered responders to NACT by histology. The sensibility and specificity of ultrasound with regard to the response to chemotherapy compared to histological specimen were 94 and 82%, respectively, with an accuracy of 92%. The positive predictive value and negative predictive value were 96 and 75%, respectively. Finally, we found that nonetheless there was a trend towards a continuous response to chemotherapy among patients who were considered responders to NACT at pathological examination; the major volume and vascularization index (VI) reduction were observed during the first 2 cycles (74, 71% and 47, 63%, respectively). On the contrary, non-responders showed an initial reduction of the VI (4.86 consisting of 33%, 95% CI 0.79-8.92, p = 0.013), but no significant modification in tumour volume along NACT. CONCLUSION: 2D/3D ultrasound is useful in assessing early response to NACT in patients with LACC.

Safety evaluation of fractional CO2 laser treatment in post-menopausal women with vaginal atrophy: A prospective observational study.

OBJECTIVES: To evaluate the safety of and patient satisfaction with fractional CO2 laser for the treatment of vulvo-vaginal atrophy (VVA) in postmenopausal patients. STUDY DESIGN: Patients affected by VVA were considered for the study. All women were treated using a Lumenis AcuPulse DUO (Lumenis, Yokneam, Israel) in fractionated mode with a 28 mm probe, FemTouch™. Pain during different steps of the procedure (introduction, rotation and extraction of probe and laser impulse transmission) was evaluated on a 7-point Likert scale. The occurrence of side-effects was evaluated at the end of the procedure, and in the three-month follow-up (after the last treatment) complications were classified as 'early' (occurring within 30 days) or late (after 30 days). Participant satisfaction was measured on a 7-point Likert scale (1= strongly disagree, 7= strongly agree). The institutional review board approved the study protocol. RESULTS: Fifty-three women were enrolled in the study. No severe complications occurred after a median follow-up of six months. One patient (1.9 %) reported dizziness immediately after treatment, which completely resolved within 15 min. A minor bleeding occurred related to tip introduction and rotation. One patient (1.9 %) aborted the procedure because of discomfort on probe introduction but decided to repeat the procedure after two weeks. Two patients (3.7 %) reported symptoms of dysuria within 7 days of the procedure. The mean overall pain score at first treatment, evaluated on the 7-point Likert scale, was 3.57 ± 1.50. The mean pain scores related to probe introduction and rotation were 3.13 ± 1.37 and 2.32 ± 1.08, whereas pain scores for extraction and laser impulse transmission were 1.23 ± 0.27 and 1.13 ± 0.37 respectively. Mean overall pain score (1.27; CI 95 % 0.83-1.71, p < 0.001) and pain scores related to probe introduction (0.54; CI 95 % 0.18-0.90, p = 0.001) and probe rotation (0.46; CI 95 % 0.12-0.90, p = 0.003) all statistically significantly decreased between the first and third treatment (Fig. 1). Mean pain scores related to laser activation (0.01; CI 95 % -0.06 - 0.20, p = 0.07) and extraction (0.08; CI 95 % -0.04-0.19, p = 0.31) did not change over the course of treatment. Overall, patient satisfaction with the procedure was high: 89.7 % of patients would highly (value 5-7) recommend the procedure and 94.9 % would be ready to repeat the procedure to maintain results. Discomfort related to treatment was lower than expected for 41 % of patients (value 5-7) and as expected for 48.7 % (value 3-4). CONCLUSION: Fractional CO2 laser for treatment of VVA seems a safe therapeutic option. No severe complications occurred. A minority of patients reported mild complications, but these resolved without the need for treatment. Most discomfort was related to probe introduction and rotation. Overall, patients were highly satisfied, and they would repeat laser treatment.

An incremental training method with automated, extendable maze for training spatial behavioral tasks in rodents.

We present a training procedure and maze equipped with sensors and automated feeders for training spatial behavioral tasks in rodents. The maze can be transformed from an enclosed box to a maze of variable dimensions. The modularity of the protocol and setup makes it highly flexible and suitable for training a wide variety of spatial tasks, and facilitates incremental training stages of increasing maze size for more efficient learning. The apparatus, in its software and hardware, is able to adapt to animal performance, adjusting task challenges and difficulty. Two different methods of automatic behavioral scoring are evaluated against manual methods. Sensors embedded in the maze provide information regarding the order of reward locations visited and the time between the activation of the cue via the nose-poke and the activation of the reward location sensors. The distributions of these reaction times differ between correct and incorrect trials, providing an index of behavior and motivation. The automated maze system allows the trainer to operate and monitor the task away from the experimental set-up, minimizing human interference and improving the reproducibility of the experiment. We show that our method succeeds in training a binary forced-choice task in rats.