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Results for “neural dynamics”

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At least 37 records · Page 2Linked to original sources
PubMed2026

Microglial modulation in general anesthesia: molecular.

General anesthetics profoundly alter brain function and consciousness, yet the mechanisms underlying these effects remain incompletely understood. Although traditional studies have primarily focused on neuronal targets, accumulating evidence suggests that microglia dynamically respond to anesthetic exposure and may participate in anesthesia-associated neurophysiological changes. Beyond their established immune functions, microglia are increasingly implicated in synaptic remodeling, metabolic regulation, neuronal activity surveillance, and neuron-glia communication. Recent studies indicate that different classes of anesthetic agents modulate microglial activity through diverse and context-dependent mechanisms involving inflammatory signaling, purinergic pathways, calcium dynamics, mitochondrial metabolism, and neural circuit interactions. These responses are associated with postoperative neurocognitive disorders, altered synaptic plasticity, and anesthesia-related changes in brain states. In this review, we summarize current evidence regarding the effects of volatile anesthetics, intravenous anesthetics, and analgesics on microglial function and discuss the molecular, functional, and circuit-level mechanisms underlying anesthesia-associated neuron-microglia interactions. We further highlight the dynamic and heterogeneous nature of microglial responses during anesthesia and discuss current limitations in the field, including the lack of temporally resolved and cell-specific approaches. Understanding these processes may provide insights into anesthesia-associated neurocognitive dysfunction and support the development of neuroimmune-targeted strategies in anesthesiology.

General anesthesia↗
PubMed1978

Adrenergic and cholinergic innervation of the supraduodenal common bile duct.

The in-built intrinsic adrenergic and cholinergic nervous apparatus of the supraduodenal common bile duct of the cat and the dog was studied using modern selective specific neurohistochemical technics. A rich distribution of fluorescing varicose adrenergic axons and small nerve fascicles was observed within all layers of the duct. The cholinergic innervation was even more richly developed, including large nerve fascicles and nerve trunks as well as cholinergic nerve cells and small ganglia. The present observations corroborate the theory that the common bile duct actively participates, under dual neural control, in biliary dynamics and is not merely a passive conducting tube.

Adrenergic Fibers↗
PubMed1979

Modulation of behavioral inhibition in appetitive extinction following manipulation of adrenal steroids in rats: implications for involvement of the hippocampus.

Corticosterone, the principal glucocorticoid in the rat, binds selectively to the CA1 pyramidal neurons of the hippocampus where the hormone has been demonstrated to exert a moderate chronic suppression of spontaneous activity. In the first experiment of the current study, the functional behavioral significance of this hormone--brain interaction was investigated in the extinction of an appetitive runway response in normal rats and those with lesions of the hippocampus. During extinction, half of the animals in each group were given daily subcutaneous injections of corticosterone. Whie the classical retardation effect of hippocampal lesions on appetitive extinction was replicated, hormone treatment was without effect in normal or hippocampally damaged subjects. The absence of a hormone effect in normals was primarily attributed to a saturated limited-binding system operating in the normal animal. Experiment 2 tested this notion, repeating the first experiment, with adrenal-ectomized (ADX), ADX + corticosterone replacement, and normal groups of animals. Adrenalectomy produced a striking facilitation of extinction which was speculated to be the result of a hyperactive inhibitory neural organ free from an inhibitory endocrine feedback. Corticosterone treatment normalized the progress of extinction in ADX animals, providing support for the afore-mentioned speculation. In the normal animal, it appears that a stress-induced surge in hormone level interacts with a limited-capacity neural binding to produce a transient dynamic range of behavioral disinhibition, perhaps promoting persistence during initial stages of frustrative nonreward in moderate stress tasks.

Animals↗
PubMed2025

Lipidomic profiling of mouse brain and human neuron cultures reveals a role for Mboat7 in mTOR-dependent neuronal migration.

Mutations in lipid regulator genes are a frequent cause of autism spectrum disorder, including those regulating phosphatidylinositol (PI) and phosphoinositide 3-kinase signaling. MBOAT7 encodes a key acyltransferase in PI synthesis and is mutated in an autism-related condition with neurodevelopmental delay and epilepsy. Using liquid chromatography-tandem mass spectrometry, we analyzed the PI-associated glycerolipidome in mice and humans during neurodevelopment and found dynamic regulation at times corresponding to neural apoptosis in the brains of Mboat7 knockout mice. Mboat7 function was necessary for polyunsaturated lipid synthesis and cortical neural migration, and loss resulted in massive accumulation of the precursor lysophosphatidylinositol and hyperactive mTOR signaling. Inhibiting mTOR signaling rescued migration defects. Our findings demonstrate roles for lipid remodeling during neurodevelopment and implicate lipid regulation in neuronal migration, revealing potential paths to treatment for MBOAT7 deficiency.

Animals↗
PubMed2026

Next-generation brain proteomics: Integrating single-cell, spatial, and multi-omics for clinical biomarker discovery.

The mammalian brain's functional complexity arises from the sophisticated architecture of neurons and glia. This network is essentially defined by its dynamic proteome, which reveals the functional execution underlying neural computation and disease. This review integrates the technological leap in neuroproteomics. It has moved beyond bulk tissue proteome cataloguing to high-sensitivity single-cell and spatial resolution. We detail how next-generation platforms, such as TIMS-PASEF and Orbitrap-Astral, have enabled deeper and faster phenotypic profiling of limited brain samples. However, the proteome coverage remains constrained by dynamic range, sample loss, ionisation bias and incomplete detection of low-abundance regulatory proteins. We further examine how such studies have revealed the proteomic remodelling that drives lineage specification and synaptic plasticity by linking temporal protein expression waves to biological function. Crucially, we delineate the clinical translational trajectory, illustrating how aberrant signatures are verified in cerebrospinal fluid (CSF) and validated in plasma to support precision medicine. Finally, we argue for the necessity of "fused" multi-omics integration and Artificial Intelligence (AI) to decode the non-linear molecular logic of brain pathology.

Humans↗
PubMedDate not supplied

[Cisterno-medullary anomalies. Diagnostic problems, surgical treatment (author's transl)].

Under the term cisterno-medullary anomalies are included several disorders: bony and nervous malformations, arachnoiditis of the posterior fossa. As they are frequently associated, a thorough investigation, both anatomical and dynamic, is a prerequisite to any therapeutic attempt. Along with causing damage to the neuraxis, these anomalies interfere with the dynamics of the CSF and may lead to the development of a communicating syringomyelia, whatever the theory proposed. The presenting symptoms are varied, and diagnosis should be accordingly suspected. Of fundamental importance are instrumental investigations. A complete evaluation is in most of the cases obtainable with: bone X-rays, air-myelography (or "bulle"), intrathecal ou ventricular radio-isotope scan. Surgery is the only treatment. The aim is both decompression of the neural structures and restoration of a normal CSF dynamic flow. Opening of the posterior fossa is successful in the case of developmental abnormalities, But it seems to prove a failure when the chief anomaly is arachnoiditis. In such cases, ventricular drainage alone may be followed by improvement. It appears from this that the problem is twofold: the technical problem of the drainage, and the pre-operatory diagnosis of a posterior fossa arachnoiditis.

Adolescent↗
PubMed1976

Dynamic and static violations of Hering's law of equal innervation.

Hering's Law of Equal Innervation treats the double eye as a single organ. Normal humans often execute saccadic eye movements that are dynamic violations of Hering's Law. These infractions are produced by differences in the neural controller signals sent to each eye and are exemplified by monocular movements, such as dynamic overshoot, glissades, and double saccades; these dynamic violations occur more frequently in fatigued subjects. In contrast to dynamic violations, static violations of Hering's Law are usually indicative of pathological conditions.

Aged↗
PubMed2026

The DLX/Notch axis is necessary for spatiotemporal regulation of neural cell fate.

Neuronal-glial cell fate switch during forebrain development is highly regulated. DLX transcription factors are necessary for promoting GABAergic interneuron differentiation and migration but the mechanisms for concomitant repression of glial fate in neural progenitors remain elusive. Here, the DLX2 regulatory network dynamic in the developing ventral telencephalon is characterised using a multi-omic approach at single-cell resolution, including single-cell whole genome spatial transcriptomics. We identify a secondary proliferative zone in the ventral subventricular zone and spatiotemporal-context dependent Notch pathway repression by DLX2 in maintaining progenitor populations and facilitating neural differentiation. We find that DLX2 controls cell fate determination by directly repressing Notch signalling genes as well as glial fate-promoting transcription factors, thereby inhibiting early adoption of oligodendroglial differentiation during neurogenesis. Here, we show that temporal cell fate switch is mediated by DLX2 via a multilayer gene regulatory network, redefining current understanding of neuronal-glial cell specification mechanisms in the developing telencephalon.

Animals↗
PubMed2026

Accelerated long-read variant calling with Clair3 for whole-genome sequencing.

SUMMARY: The rapid growth of genomic data and increasing adoption of long-read sequencing technologies have rendered variant calling one of the most computationally demanding tasks in genomic analysis. Although deep learning-based methods currently outperform conventional approaches in distinguishing true variants from complex sequencing noise, they impose prohibitive computational and time requirements. To address this limitation, we present a computational framework based on Clair3 that integrates parallelized feature generation, enhanced variant phasing, in-memory read haplotagging, and GPU-accelerated neural network inference to accelerate variant calling. By dynamically optimizing the use of both GPU and CPU resources, our method achieves substantial runtime improvements without compromising accuracy. We evaluated our framework across a range of sequencing depths, diverse samples, and multiple hardware configurations. Our results demonstrate that the optimized pipeline completes variant calling for a 30× whole-genome sequence in 12-20 minutes using standard computational resources (32 CPU threads and one NVIDIA GPU), and in 12-15 minutes on an Apple Mac Studio (32 threads), which is ∼10-20-fold speedup compared with its initial release. In addition to exceptional efficiency, our method maintains state-of-the-art accuracy, achieving SNP F1-scores of 99.32% and 99.70% on 30× ONT and PacBio GIAB HG003 datasets, respectively. This work introduces a rapid, accurate, and scalable variant calling framework that effectively supports large-cohort genomic studies and time-sensitive clinical applications. AVAILABILITY AND IMPLEMENTATION: The accelerated implementation of Clair3 is open source and available at: https://github.com/HKU-BAL/Clair3/tree/gpu.

Whole Genome Sequencing↗
PubMed1979

Inhibition of spinal cord interneurons by narcotic microinjection and focal electrical stimulation in the periaqueductal central gray matter.

Single cell evoked activity was recorded from spinal cord interneurons in rats prepared with microinjection cannulae or stimulating electrodes in the periaqueductal central gray matter (PAG). Morphine microinjections (4-16 microgram) inhibited the response evoked by a noxious stimulus in 55% of the wide dynamic range neurons tested. Microinjections of etorphine (0.25-0.5 microgram) inhibited 82% of the nociceptive neurons tested. Neither drug inhibited neurons which responded only to innocuous mechanical stimulation. The inhibition of wide dynamic range neurons produced by narcotic microinjection was antagonized by naloxone (1 mg/kg, i.p.) in 7 of 11 cases. Control experiments indicated that the effects obtained with microinjections could not be attributed to the drugs' diffusion to the spinal cord. Focal electrical stimulation of the PAG inhibited the responses to noxious stimuli of 60% of wide dynamic range neurons but was without effect on the responses of neurons that were activated only by innocuous stimuli. These experiments directly demonstrate that narcotic analgesics restricted to an intracerebral site of action activate a neural system which preferentially inhibits the responses of spinal cord wide dynamic range neurons to noxious stimuli. The system has a specificity for nociceptive input since non-nociceptive neurons were unaffected. Directly comparable results were produced by electrical stimulation of the PAG, supporting the concept that stimulation and narcotics modulate the transmission of nociceptive information by similar mechanisms.

Animals↗
PubMed2025

scMultiNODE: Integrative and Scalable Framework for Multi-Modal Temporal Single-Cell Data.

Measuring single-cell genomic profiles at different timepoints enables our understanding of cell development. This understanding is more comprehensive when we perform an integrative analysis of multiple measurements (or modalities) across various developmental stages. However, obtaining such measurements from the same set of single cells is resource-intensive, restricting our ability to study them jointly. We introduce scMultiNODE, an unsupervised integration model that combines gene expression and chromatin accessibility measurements in developing single cells, while preserving cell type variations and cellular dynamics. First, scMultiNODE uses a scalable, Quantized Gromov-Wasserstein optimal transport to align a large number of cells across different measurements. Next, it utilizes neural ordinary differential equations to explicitly model cell development with a regularization term to learn a dynamic latent space. Experiments on six real-world developmental single-cell datasets demonstrate that scMultiNODE can integrate temporally profiled multi-modal single-cell measurements more effectively than existing methods that focus on cell type variations and often overlook cellular dynamics. We also demonstrate that scMultiNODE's joint latent space facilitates several insightful downstream analyses of single-cell development, including the investigation of complex cell trajectories and the enabling of cross-modal label transfer. The data and code are publicly available at https://github.com/rsinghlab/scMultiNODE.

autoencoders↗
PubMed2026

ORBIT: Oncogenic Representation Learning via Bi-Prototype Contrastive Learning in Hyperbolic Space for cancer driver gene identification.

Accurate identification of cancer driver genes is crucial for precision oncology but remains challenging due to the complexity of integrating heterogeneous data and modeling dynamic biological systems. To address these limitations, we propose ORBIT (Oncogenic Representation Learning via Bi-Prototype Contrastive Learning in Hyperbolic Space). Our framework synergistically fuses multi-omics profiles with functional network data using a context-adaptive graph reweighting mechanism to capture cancer-specific dynamics. The model employs a bi-prototype contrastive learning strategy within hyperbolic space, which aligns gene representations around distinct driver and non-driver semantic anchors while preserving the intrinsic hierarchy of biological networks. Comprehensive evaluations demonstrate that ORBIT achieves highly competitive stability in pan-cancer analysis while consistently outperforming state-of-the-art methods in cancer-specific predictions. Furthermore, functional enrichment analysis confirms that the model effectively segregates core cancer pathways, and drug sensitivity profiling validates the clinical relevance of the identified drivers. By integrating hyperbolic geometry with context-adaptive learning, ORBIT offers a robust and interpretable paradigm for precision medicine. The source codes and datasets are publicly accessible at https://github.com/spcho-dev/ORBIT.

Humans↗
PubMed2025

Integration of single cell multiomics data by deep transfer hypergraph neural network.

Multi-omics characterization of individual cells offers remarkable potential for analyzing the dynamics and relationships of gene regulatory states across millions of cells. How to integrate multimodal data is an open problem, existing integration methods struggle with accuracy and modality-specific biological variation retention. In this paper, we present scHyper (scalable, interpretable machine learning for single cell integration), a low-code and data-efficient deep transfer model designed for integrating paired and unpaired single-cell multimodal data. We benchmark scHyper against datasets from different multimodal data. ScHyper learns a low-dimensional representation and aligns the covariance matrices of the measured modalities, achieving high accuracy even with large scale atlas-level datasets with low memory and computational time across different cell lines, shedding light on regulatory relationships between different types of omics. Altogether, we show that scHyper is a versatile and robust tool for cell-type label transfer and integration from multimodal single-cell datasets.

Single-Cell Analysis↗
PubMed1978

The peripheral and central neural actions of clonidine in normal and glaucomatous eyes.

The peripheral and central neural actions of clonidine on normal and glaucomatous eyes have been investigated. Threshold doses of clonidine applied topically induced a monotonic decrease of intraocular pressure in the treated eye and had no effect on the contralateral eye. With increased clonidine dose, a decrease of intraocular pressure occurred in the untreated eye, and there was a concomitant decrease of systemic arterial blood pressure. Analysis of aqueous humor dynamics showed that the ocular response to the peripheral and the central neural actions of clonidine were without effect on the tonographic coefficient of outflow facility. The episcleral venous pressure decreased in both the treated and the untreated eyes, but the changes were too small to account for the observed decrease of intraocular pressure. The results are consistent with the concept that both the peripheral and central ocular hypotensive actions of clonidine are mediated by an inhibition of adrenergic neurogenic vasoconstriction in the eye.

Adrenergic alpha-Antagonists↗
PubMed2026

Defining active and repressive chromatin states in neural crest cells using low-input CUT&RUN.

The transition of neural crest cells (NCCs) from a multipotent state to lineage-restricted derivatives, including melanocytes, is governed by tightly regulated epigenetic mechanisms that orchestrate cell type specific gene expression programs. Histone post-translational modifications (PTMs), in particular, play an important role in modulating chromatin accessibility, enhancer activation, and transcription factor occupancy, thereby facilitating dynamic chromatin and transcriptional reprogramming required during development. However, profiling such chromatin states in rare and transient Neural Crest Cell (NCC) populations in vivo remains technically challenging. To address this, we present an optimized low-input Cleavage Under Targets and Release Using Nuclease (CUT&RUN) workflow tailored for fluorescence-activated cell sorting (FACS) isolated NCCs from zebrafish embryos. This approach enables high-resolution and low-background mapping of key histone modifications, including H3K27ac, H3K4me3, and H3K27me3, from limited cell numbers. Collectively, these methodologies provide a robust framework for dissecting chromatin state dynamics in developmental systems and can also offer insights into epigenetic dysregulation associated with disease.

Animals↗
PubMed1978

Self-stimulation in the rat: quantitative characteristics of the reward pathway.

Quantitative characteristics of the neural pathway that carries the reinforcing signal in electrical self-stimulation of the brain were established by finding which combinations of stimulation parameters give the same performance in a runway. The reward for each run was a train of evenly spaced monophasic cathodal pulses from a monopolar electrode. With train duration and pulse frequency held constant, the required current was a hyperbolic function of pulse duration, with chronaxie c approximately 1.5 msec. With pulse duration held constant, the required strength of the train (the charge delivered per second) was a hyperbolic function of train duration, with chronaxie C approximately 500 msec. To a first approximation, the values of c and C were independent of the choice either of train duration and pulse frequency or of pulse duration, respectively. Hence, the current intensity required by any choice of train duration, pulse frequency, and pulse duration dependent on only two basic parameters, c and C, and one quantity, Qi, the required impulse charge. These may reflect, respectively, current integration by directly excited neurons; temporal integration of neural activity by synaptic processes in a neural network; and the peak of the impulse response of the network, assuming that the network has linear dynamics and that the reward depends on the peak of the output of the network.

Animals↗
PubMed1975

Sorting of signals from thermosensitive areas.

Of the several models proposed for the neural regulation of temperature in cold-exposed animals, two have been previously restated in dynamic form using CSMP. Subsequently, computer simulations have led to the design and execution of experiments for selection of the more appropriate model for cold-exposed rats. These experiments, as described in the present paper, have been interpreted as being consistent with the model which sorts signals from thermosensitive areas and channels the selected signals over separate neural pathways to independently control each mode of heat production. Since this model requires multiplication of neural signals, possible neuronal mechanisms which may underline such multiplication are discussed. In addition, parameter variation to account for febril responses and rate sensitivity have been evaluated.

Animals↗
PubMed1978

Neuropathology of heavy metal intoxication.

The basis for utilizing altered morphology, i.e., pathology, in defining diseases of the nervous system is presented. The importance of recognizing the dynamics of pathologic processes is emphasized, particularly in understanding the pathogenesis of neural diseases. Demonstrative examples of the neuropathology of human heavy metal toxicity are presented. The limitations of descriptive pathology are considered, and the potentials of quantitative (morphometric) analysis for studying pathologic processes are introduced.

Animals↗