Temporal modes of hub synchronization at rest.

The brain is a dynamic system that generates a broad repertoire of perceptual, motor, and cognitive states by the integration and segregation of different functional domains represented in large-scale brain networks. However, the fundamental mechanisms underlying brain network integration remain elusive. Here, for the first time to our knowledge, we found that in the resting state the brain visits few synchronization modes defined as clusters of temporally aligned functional hubs. These modes alternate over time and their probability of switching leads to specific temporal loops among them. Notably, although each mode involves a small set of nodes, the brain integration seems highly vulnerable to a simulated attack on this temporal synchronization mechanism. In line with the hypothesis that the resting state represents a prior sculpted by the task activity, the observed synchronization modes might be interpreted as a temporal brain template needed to respond to task/environmental demands .

[Registry of perioperative cardiac arrests in a clinical hospital in the period 2006-2017]. / Registro de paro cardiorrespiratorio perioperatorio en un hospital universitario en el período 2006-2017.

BACKGROUND: Perioperative cardiac arrest (PCA) is a rare but important event in the operating room. AIM: To describe PCA events at a Clinical Hospital in Santiago, Chile. MATERIAL AND METHODS: Registry of PCA that occurred in the operating room (OR) and during procedures not carried out in the OR between September 2006 and November 2017. Precipitating events, type of anesthesia and results of resuscitation maneuvers were described. RESULTS: Eighty events (five outside of the OR) during 170,431 surgical procedures were recorded, resulting in an incidence of 4.4 events per 10,000 interventions. Hypotension/hypoperfusion was the most frequently found preexisting condition (42.5%). The main cause was the presence of preoperative complications (57.5%). Nineteen cases (23.8%) were attributable to anesthesia, with an incidence of 1.11 per 10,000 anesthetic procedures. Survival rate at hospital discharge was 52.5%. The figure for PCA caused by anesthesia was 84.2%. CONCLUSIONS: The incidence of PCA and its survival is similar to that reported abroad. In general, PCA has a better prognosis than other types of cardiac arrest, especially if it has an anesthetic cause.

Registro de paro cardiorrespiratorio perioperatorio en un hospital universitario en el período 2006-2017 / Registry of perioperative cardiac arrests in a clinical hospital in the period 2006-2017

Background: Perioperative cardiac arrest (PCA) is a rare but important event in the operating room. Aim: To describe PCA events at a Clinical Hospital in Santiago, Chile. Material and Methods: Registry of PCA that occurred in the operating room (OR) and during procedures not carried out in the OR between September 2006 and November 2017. Precipitating events, type of anesthesia and results of resuscitation maneuvers were described. Results: Eighty events (five outside of the OR) during 170,431 surgical procedures were recorded, resulting in an incidence of 4.4 events per 10,000 interventions. Hypotension/hypoperfusion was the most frequently found preexisting condition (42.5%). The main cause was the presence of preoperative complications (57.5%). Nineteen cases (23.8%) were attributable to anesthesia, with an incidence of 1.11 per 10,000 anesthetic procedures. Survival rate at hospital discharge was 52.5%. The figure for PCA caused by anesthesia was 84.2%. Conclusions: The incidence of PCA and its survival is similar to that reported abroad. In general, PCA has a better prognosis than other types of cardiac arrest, especially if it has an anesthetic cause.

Ibuprofen is deleterious for the development of first trimester human fetal ovary ex vivo.

STUDY QUESTION: Does ibuprofen use during the first trimester of pregnancy interfere with the development of the human fetal ovary? SUMMARY ANSWER: In human fetuses, ibuprofen exposure is deleterious for ovarian germ cells. WHAT IS KNOWN ALREADY: In utero stages of ovarian development define the future reproductive capacity of a woman. In rodents, analgesics can impair the development of the fetal ovary leading to early onset of fertility failure. Ibuprofen, which is available over-the-counter, has been reported as a frequently consumed medication during pregnancy, especially during the first trimester when the ovarian germ cells undergo crucial steps of proliferation and differentiation. STUDY DESIGN, SIZE, DURATION: Organotypic cultures of human ovaries obtained from 7 to 12 developmental week (DW) fetuses were exposed to ibuprofen at 1-100 µM for 2, 4 or 7 days. For each individual, a control culture (vehicle) was included and compared to its treated counterpart. A total of 185 individual samples were included. PARTICIPANTS/MATERIALS, SETTING, METHODS: Ovarian explants were analyzed by flow cytometry, immunohistochemistry and quantitative PCR. Endpoints focused on ovarian cell number, cell death, proliferation and germ cell complement. To analyze the possible range of exposure, ibuprofen was measured in the umbilical cord blood from the women exposed or not to ibuprofen prior to termination of pregnancy. MAIN RESULTS AND THE ROLE OF CHANCE: Human ovarian explants exposed to 10 and 100 µM ibuprofen showed reduced cell number, less proliferating cells, increased apoptosis and a dramatic loss of germ cell number, regardless of the gestational age of the fetus. Significant effects were observed after 7 days of exposure to 10 µM ibuprofen. At this concentration, apoptosis was observed as early as 2 days of treatment, along with a decrease in M2A-positive germ cell number. These deleterious effects of ibuprofen were not fully rescued after 5 days of drug withdrawal. LARGE SCALE DATA: N/A. LIMITATIONS, REASONS FOR CAUTION: This study was performed in an experimental setting of human ovaries explants exposed to the drug in culture, which may not fully recapitulate the complexity of in vivo exposure and organ development. Inter-individual variability is also to be taken into account. WIDER IMPLICATIONS OF THE FINDINGS: Whereas ibuprofen is currently only contra-indicated after 24 weeks of pregnancy, our results points to a deleterious effect of this drug on first trimester fetal ovaries ex vivo. These findings deserve to be considered in light of the present recommendations about ibuprofen consumption pregnancy, and reveal the urgent need for further investigations on the cellular and molecular mechanisms that underlie the effect of ibuprofen on fetal ovary development.

Multimodal-3D imaging based on µMRI and µCT techniques bridges the gap with histology in visualization of the bone regeneration process.

Bone repair/regeneration is usually investigated through X-ray computed microtomography (µCT) supported by histology of extracted samples, to analyse biomaterial structure and new bone formation processes. Magnetic resonance imaging (µMRI) shows a richer tissue contrast than µCT, despite at lower resolution, and could be combined with µCT in the perspective of conducting non-destructive 3D investigations of bone. A pipeline designed to combine µMRI and µCT images of bone samples is here described and applied on samples of extracted human jawbone core following bone graft. We optimized the coregistration procedure between µCT and µMRI images to avoid bias due to the different resolutions and contrasts. Furthermore, we used an Adaptive Multivariate Clustering, grouping homologous voxels in the coregistered images, to visualize different tissue types within a fused 3D metastructure. The tissue grouping matched the 2D histology applied only on 1 slice, thus extending the histology labelling in 3D. Specifically, in all samples, we could separate and map 2 types of regenerated bone, calcified tissue, soft tissues, and/or fat and marrow space. Remarkably, µMRI and µCT alone were not able to separate the 2 types of regenerated bone. Finally, we computed volumes of each tissue in the 3D metastructures, which might be exploited by quantitative simulation. The 3D metastructure obtained through our pipeline represents a first step to bridge the gap between the quality of information obtained from 2D optical microscopy and the 3D mapping of the bone tissue heterogeneity and could allow researchers and clinicians to non-destructively characterize and follow-up bone regeneration.

Cortical cores in network dynamics.

Spontaneous brain activity at rest is spatially and temporally organized in networks of cortical and subcortical regions specialized for different functional domains. Even though brain networks were first studied individually through functional Magnetic Resonance Imaging, more recent studies focused on their dynamic 'integration'. Integration depends on two fundamental properties: the structural topology of brain networks and the dynamics of functional connectivity. In this scenario, cortical hub regions, that are central regions highly connected with other areas of the brain, play a fundamental role in serving as way stations for network traffic. In this review, we focus on the functional organization of a set of hub areas that we define as the 'dynamic core'. In the resting state, these regions dynamically interact with other regions of the brain linking multiple networks. First, we introduce and compare the statistical measures used for detecting hubs. Second, we discuss their identification based on different methods (functional Magnetic Resonance Imaging, Diffusion Weighted Imaging, Electro/Magneto Encephalography). Third, we show that the degree of interaction between these core regions and the rest of the brain varies over time, indicating that their centrality is not stationary. Moreover, alternating periods of strong and weak centrality of the core relate to periods of strong and weak global efficiency in the brain. These results indicate that information processing in the brain is not stable, but fluctuates and its temporal and spectral properties are discussed. In particular, the hypothesis of 'pulsed' information processing, discovered in the slow temporal scale, is explored for signals at higher temporal resolution.

6E11, a highly selective inhibitor of Receptor-Interacting Protein Kinase 1, protects cells against cold hypoxia-reoxygenation injury.

Necroptosis is a programmed cell death pathway that has been shown to be of central pathophysiological relevance in multiple disorders (hepatitis, brain and cardiac ischemia, pancreatitis, viral infection and inflammatory diseases). Necroptosis is driven by two serine threonine kinases, RIPK1 (Receptor Interacting Protein Kinase 1) and RIPK3, and a pseudo-kinase MLKL (Mixed Lineage Kinase domain-Like) associated in a multi-protein complex called necrosome. In order to find new inhibitors for use in human therapy, a chemical library containing highly diverse chemical structures was screened using a cell-based assay. The compound 6E11, a natural product derivative, was characterized as a positive hit. Interestingly, this flavanone compound: inhibits necroptosis induced by death receptors ligands TNF-α (Tumor Necrosis Factor) or TRAIL (TNF-Related Apoptosis-Inducing Ligand); is an extremely selective inhibitor, among kinases, of human RIPK1 enzymatic activity with a nM Kd; has a non-ATP competitive mode of action and a novel putative binding site; is weakly cytotoxic towards human primary blood leukocytes or retinal pigment epithelial cells at effective concentrations; protects human aortic endothelial cells (HAEC) from cold hypoxia/reoxygenation injury more effectively than necrostatin-1 (Nec-1) and Nec-1s. Altogether, these data demonstrate that 6E11 is a novel potent small molecular inhibitor of RIPK1-driven necroptosis.

Disfunción cognitiva postoperatoria / Postoperative cognitive dysfunction

Cognitive function may decline after surgical procedures. Cognitive postoperative dysfunction (CPOD) is subtle and requires neuropsychological test for diagnosis. Multifactorial in origin, its cause is unknown but associated with different risk factors, which especially affects origin people submitted to extense surgery. CPOD is transient, but in some cases is prolonged and is associated with an increase in mortality and permanente disability. The aging population and the increase of elderly patients requiring surgery a cause of concern. Clinical studies are required to recognize preventive and therapeutic measures to reduce CPOD in the future. (AU)

A Dynamic Core Network and Global Efficiency in the Resting Human Brain.

Spontaneous brain activity is spatially and temporally organized in the absence of any stimulation or task in networks of cortical and subcortical regions that appear largely segregated when imaged at slow temporal resolution with functional magnetic resonance imaging (fMRI). When imaged at high temporal resolution with magneto-encephalography (MEG), these resting-state networks (RSNs) show correlated fluctuations of band-limited power in the beta frequency band (14-25 Hz) that alternate between epochs of strong and weak internal coupling. This study presents 2 novel findings on the fundamental issue of how different brain regions or networks interact in the resting state. First, we demonstrate the existence of multiple dynamic hubs that allow for across-network coupling. Second, dynamic network coupling and related variations in hub centrality correspond to increased global efficiency. These findings suggest that the dynamic organization of across-network interactions represents a property of the brain aimed at optimizing the efficiency of communication between distinct functional domains (memory, sensory-attention, motor). They also support the hypothesis of a dynamic core network model in which a set of network hubs alternating over time ensure efficient global communication in the whole brain.

Role of angiotensin II and oxidative stress in renal inflammation by hypernatremia: benefits of atrial natriuretic peptide, losartan, and tempol.

The body regulates plasma sodium levels within a small physiologic range, despite large variations in daily sodium and water intake. It is known that sodium transport in the kidneys plays an important role in hypoxia, being the major determinant of renal oxygen consumption. Tubular epithelial cell hypoxia is an important contributor to the development of renal inflammation, and the damage may progress to structural injury, ending in acute renal failure. In this review, we will summarize the renal inflammatory effects of high acute plasma sodium (acute hypernatremia), and the molecular mechanisms involved. We will also discuss recent findings related to the role of oxidative stress and angiotensin II (Ang II) in the pathogenesis of renal injury. We will comment on the effects of agents used to prevent or attenuate the inflammatory response, such as the atrial natriuretic peptide, the superoxide dismutase mimetic - tempol, and losartan.

Signaling pathways involved in renal oxidative injury: role of the vasoactive peptides and the renal dopaminergic system.

The physiological hydroelectrolytic balance and the redox steady state in the kidney are accomplished by an intricate interaction between signals from extrarenal and intrarenal sources and between antinatriuretic and natriuretic factors. Angiotensin II, atrial natriuretic peptide and intrarenal dopamine play a pivotal role in this interactive network. The balance between endogenous antioxidant agents like the renal dopaminergic system and atrial natriuretic peptide, by one side, and the prooxidant effect of the renin angiotensin system, by the other side, contributes to ensuring the normal function of the kidney. Different pathological scenarios, as nephrotic syndrome and hypertension, where renal sodium excretion is altered, are associated with an impaired interaction between two natriuretic systems as the renal dopaminergic system and atrial natriuretic peptide that may be involved in the pathogenesis of renal diseases. The aim of this review is to update and comment the most recent evidences about the intracellular pathways involved in the relationship between endogenous antioxidant agents like the renal dopaminergic system and atrial natriuretic peptide and the prooxidant effect of the renin angiotensin system in the pathogenesis of renal inflammation.

Frequency specific interactions of MEG resting state activity within and across brain networks as revealed by the multivariate interaction measure.

Resting state networks (RSNs) are sets of brain regions exhibiting temporally coherent activity fluctuations in the absence of imposed task structure. RSNs have been extensively studied with fMRI in the infra-slow frequency range (nominally <10(-1)Hz). The topography of fMRI RSNs reflects stationary temporal correlation over minutes. However, neuronal communication occurs on a much faster time scale, at frequencies nominally in the range of 10(0)-10(2)Hz. We examined phase-shifted interactions in the delta (2-3.5 Hz), theta (4-7 Hz), alpha (8-12 Hz) and beta (13-30 Hz) frequency bands of resting-state source space MEG signals. These analyses were conducted between nodes of the dorsal attention network (DAN), one of the most robust RSNs, and between the DAN and other networks. Phase shifted interactions were mapped by the multivariate interaction measure (MIM), a measure of true interaction constructed from the maximization of imaginary coherency in the virtual channels comprised of voxel signals in source space. Non-zero-phase interactions occurred between homologous left and right hemisphere regions of the DAN in the delta and alpha frequency bands. Even stronger non-zero-phase interactions were detected between networks. Visual regions bilaterally showed phase-shifted interactions in the alpha band with regions of the DAN. Bilateral somatomotor regions interacted with DAN nodes in the beta band. These results demonstrate the existence of consistent, frequency specific phase-shifted interactions on a millisecond time scale between cortical regions within RSN as well as across RSNs.

Adding dynamics to the Human Connectome Project with MEG.

The Human Connectome Project (HCP) seeks to map the structural and functional connections between network elements in the human brain. Magnetoencephalography (MEG) provides a temporally rich source of information on brain network dynamics and represents one source of functional connectivity data to be provided by the HCP. High quality MEG data will be collected from 50 twin pairs both in the resting state and during performance of motor, working memory and language tasks. These data will be available to the general community. Additionally, using the cortical parcellation scheme common to all imaging modalities, the HCP will provide processing pipelines for calculating connection matrices as a function of time and frequency. Together with structural and functional data generated using magnetic resonance imaging methods, these data represent a unique opportunity to investigate brain network connectivity in a large cohort of normal adult human subjects. The analysis pipeline software and the dynamic connectivity matrices that it generates will all be made freely available to the research community.

Calibration of a multichannel MEG system based on the signal space separation method.

For an efficient use of multichannel MEG systems, an accurate sensor calibration is extremely important. This includes the knowledge of both channel sensitivities and channel arrangement, which can deviate from original system plans, e.g., because of thermal stresses. In this paper, we propose a new solution to the calibration of a multichannel MEG sensor array based on the signal space separation (SSS) method. It has been shown that an inaccurate knowledge of sensor calibration limits the performances of the SSS method, resulting in a mismatch between the measured neuromagnetic field and its SSS reconstruction. Given a set of known magnetic sources, we show that an objective function, which strongly depends on sensor geometry, can be derived from the principal angle between the measured vector signal and the SSS basis. Hence, the MEG sensor array calibration is carried out by minimizing the objective function through a standard large-scale optimization technique. Details on the magnetic sources and calibration process are presented here. Finally, an application to the calibration of the 153-channel whole-head MEG system installed at the University of Chieti is discussed.

The Human Connectome Project: a data acquisition perspective.

The Human Connectome Project (HCP) is an ambitious 5-year effort to characterize brain connectivity and function and their variability in healthy adults. This review summarizes the data acquisition plans being implemented by a consortium of HCP investigators who will study a population of 1200 subjects (twins and their non-twin siblings) using multiple imaging modalities along with extensive behavioral and genetic data. The imaging modalities will include diffusion imaging (dMRI), resting-state fMRI (R-fMRI), task-evoked fMRI (T-fMRI), T1- and T2-weighted MRI for structural and myelin mapping, plus combined magnetoencephalography and electroencephalography (MEG/EEG). Given the importance of obtaining the best possible data quality, we discuss the efforts underway during the first two years of the grant (Phase I) to refine and optimize many aspects of HCP data acquisition, including a new 7T scanner, a customized 3T scanner, and improved MR pulse sequences.

Neuromagnetic responses reveal the cortical timing of audiovisual synchrony.

Multisensory processing involving visual and auditory inputs is modulated by their relative temporal offsets. In order to assess whether multisensory integration alters the activation timing of primary visual and auditory cortices as a function of the temporal offsets between auditory and visual stimuli, a task was designed in which subjects had to judge the perceptual simultaneity of the onset of visual stimuli and brief acoustic tones. These were presented repeatedly with three different inter-stimulus intervals that were chosen to meet three perceptual conditions: (1) physical synchrony perceived as synchrony by subjects (SYNC); (2) physical asynchrony perceived as asynchrony (ASYNC); (3) physical asynchrony perceived ambiguously (AMB, i.e. 50% perceived as synchrony, 50% as asynchrony). Magnetoencephalographic activity was recorded during crossmodal sessions and unimodal control sessions. The activation of primary visual and auditory cortices peaked at a longer latency for the crossmodal conditions as compared to the unimodal conditions. Moreover, the latency in the auditory cortex was longer in the SYNC than in the ASYNC condition, whereas in the visual cortex the latency in the AMB condition was longer than in the ASYNC condition. These findings suggest that multisensory processing affects temporal dynamics already in primary cortices, that such activity can differ regionally and can be sensitive to the temporal offsets of multisensory inputs. In addition, in the AMB condition the conscious awareness of asynchrony might be associated to a later activation of the primary auditory cortex.

A frontoparietal network for spatial attention reorienting in the auditory domain: a human fMRI/MEG study of functional and temporal dynamics.

Several studies have identified a supramodal network critical to the reorienting of attention toward stimuli at novel locations and which involves the right temporoparietal junction and the inferior frontal areas. The present functional magnetic resonance imaging (fMRI)\magnetoencephalography (MEG) study investigates: 1) the cerebral circuit underlying attentional reorienting to spatially varying sound locations; 2) the circuit related to the regular change of sound location in the same hemifield, the change of sound location across hemifields, or sounds presented randomly at different locations on the azimuth plane; 3) functional temporal dynamics of the observed cortical areas exploiting the complementary characteristics of the fMRI and MEG paradigms. fMRI results suggest 3 distinct roles: the supratemporal plane appears modulated by variations of sound location; the inferior parietal lobule is modulated by the cross-meridian effect; and the inferior frontal cortex is engaged by the inhibition of a motor response. MEG data help to elucidate the temporal dynamics of this network by providing high-resolution time series with which to measure latency of neural activation manipulated by the reorienting of attention.

Effect of hydroalcoholic extract of Zingiber officinalis rhizomes on LPS-induced rat airway hyperreactivity and lung inflammation.

Ginger, the rhizome of Zingiber officinalis Roscoe (Zingiberaceae), is a common constituent of diets around the world and its extracts have been reported to exhibit several pharmacological activities. We investigated the effect of crude hydroalcoholic extract of ginger on the rat trachea hyperreactivity (RTHR) and lung inflammation induced by lipopolysaccharide (LPS). Our results demonstrate that ginger extract and celecoxib attenuated RTHR 90 min and 48 h after LPS. Ginger and celecoxib reduced the serum level of prostaglandin (PGE2) and thromboxane (TXA2) 90 min after LPS. Celecoxib and ginger also reduced myeloperoxidase activity and the number of cells in rat bronchoalveolar lavage 48 h post-LPS. On lung parenchyma, ginger and celecoxib reduced the release of PGE2 and TXA2 48 h post-LPS. These results suggest that ginger exerts an anti-inflammatory effect on lung attenuating RTHR and COX metabolites seem to be involved in these processes.

A cartesian time--frequency approach to reveal brain interaction dynamics.

The study of large-scale interactions from magnetoencephalographic data based on the magnitude of the complex coherence computed at channel level is a widely used method to track the coupling between neural signals. Traditionally, a measure based on the magnitude of the complex coherence estimated by Fourier analysis, has been used under the assumption that the neural signals are stationary. Here, we split the complex coherence in its real and imaginary parts and focus on the latter with the advantage that the imaginary part is insensitive to spurious connectivity resulting from volume conducted "self interaction". Furthermore, interacting sources alone contribute to a non-vanishing imaginary part of the complex coherence whereas the contribute of non-interacting sources is also mapped from the magnitude of the complex coherence. Since it has been extensively shown that non-stationary stochastic processes contribute to the generation of neural signals, it is fundamental to be able to define interaction measures that are able to follow the temporal variations in the coupling between neural signals. To this purpose time-frequency domain techniques to estimate the magnitude of the complex coherence have been developed in the past decades. Similarly, we extend the analysis of the imaginary part of complex coherence to the time-frequency domain, by using the short-time Fourier transform to analyze the complex coherence as a function of time. In this way, it is possible to get an indication about the dynamic of the underlying source interaction pattern by looking at channel level interactions without the bias introduced by artifactual self-interaction by volume conduction or by the contribute of non-interacting sources. Furthermore, the corresponding imaginary part of the cross-spectrogram can be used to estimate interactions on a source level by localizing pools of sources interacting at a given frequency and by characterizing their dynamics. The method has been applied to magnetoencephalographic data from a cross-modal visual auditory stimulation and provided evidence for the involvement of temporal and occipital areas in the integrated information processing for simultaneous audio-visual stimulation. Furthermore, the source interaction pattern shows a variation in time that reflects a dynamical synchronization of the involved brain sources in the frequency bands of interest.

Low- and high-frequency evoked responses following pattern reversal stimuli: a MEG study supported by fMRI constraint.

We investigated the neural generators of N1 and P1 components of visual magnetic responses through the concomitant study of low (1-15 Hz)- and high (15-30 Hz)-frequency brain activities phase-locked to stimulus and elicited by pattern reversal visual stimuli. Whole helmet magnetic recordings and dipole modeling technique with support of functional magnetic resonance imaging (fMRI) were used to characterize locations and orientations of N1 and P1 sources as a function of four stimulated visual field quadrants. A comparison between low- and high-frequency activities revealed fundamental differences among orientations of the quadrants dipoles thus suggesting partly distinct neural populations underlying low- and high-frequency responses to transient contrast visual stimuli. Moreover, for both low- and high-frequency bands the specific study of locations and orientations of N1 and P1 sources indicated V1/V2 cortex as the neural substrate generating the two components. In summary, we provided strong support for a cortical genesis of human oscillatory mass activity following transient contrast stimuli with specific neural districts active in the low- and high-frequency bands. The converging results obtained from the concomitant investigation of probably different brain activities provided new evidences for a striate genesis of N1 and P1 components of the broadband visual-evoked responses following pattern reversal.