Biology subjects

Nguyen, T.

Publications and source records attributed to Nguyen, T..

At least 73 records · Page 4Linked to original sources

bioRxiv2025

Epilepsy-Associated SCN2A-L1342P Mutation Drives Network Hyperexcitability and Widespread Transcriptomic Changes in Human Cortical Organoids

ObjectiveSCN2A pathogenic mutations, such as the recurrent heterozygous Nav1.2-L1342P, are monogenic causes of epilepsy. In this human-induced pluripotent stem cell model system, we aim to investigate the molecular and cellular mechanisms underlying the SCN2A-L1342P-associated pathology. MethodsUsing a human male iPSC reference line (KOLF) carrying the Nav1.2-L1342P mutation, we generated 3D cortical organoids for functional studies. Patch clamp and multi-electrode array (MEA) recordings, immunocytochemistry, and RNA sequencing were used to characterize the disease phenotypes. ResultsNav1.2-L1342P organoid neurons displayed increased intrinsic excitability, and amplified excitatory post-synaptic currents, which are consistent with an increase in excitatory synapse formation revealed by PSD95/SYN1 immunostaining. Moreover, elevated network firing activity, as demonstrated by MEA, indicates a pronounced network hyperexcitability. Transcriptomic profiling of organoids carrying the Nav1.2-L1342P mutation further revealed significant alterations in synaptic, glutamatergic, and developmental pathways. SignificanceOur findings demonstrate that the Nav1.2-L1342P mutation drives a multifaceted disease phenotype, including network hyperexcitability and disruption of pathways related to neuronal and synaptic functions. These results advance our understanding of SCN2A-related Developmental and Epileptic Encephalopathy (DEE), laying a foundation for personalized interventions. Key PointsO_LIKey Point 1: Human neurons carrying epilepsy-causing SCN2A-L1342P display intrinsic hyperexcitability in cortical organoids. C_LIO_LIKey Point 2: Synaptic transmission is enhanced in organoids carrying the SCN2A-L1324P mutation, consistent with the presence of elevated excitatory synapses, which leads to increased network hyperexcitability. C_LIO_LIKey Point 3: Transcriptomics analysis reveals that the SCN2A-L1342P mutation causes significant differential changes in forebrain developmental genes, synaptic and glutamatergic signaling pathways, and enhances cellular senescence and apoptosis. C_LI

neuroscience↗

bioRxiv2025

A Co-Evolutionary Multi-Objective Framework for Joint Topology and Parameter Discovery in Gene Regulatory Networks

Inferring gene regulatory networks (GRN) poses a complex discrete-continuous, multi-objective optimization problem that requires the simultaneous discovery of both network topology and kinetic parameters. Current methods are often limited because they address these two challenges separately. We propose a novel co-evolutionary multi-objective framework that evolves topology and parameter populations in tandem to optimize three competing objectives: dynamic fidelity, network simplicity, and robustness. This algorithm utilizes biologically-inspired operators and is grounded in theoretical results on Pareto optimality for mixed discrete-continuous spaces. In computational experiments on synthetic benchmarks, our approach showed superior performance, attaining the lowest mean squared error in three of four test cases against single-objective and topology-fixed methods. The framework successfully discovers multiple functionally equivalent network configurations, a finding that highlights the degeneracy inherent in biological systems and offers practical insights for synthetic biology, where function is often prioritized over precise structural accuracy.

systems biology↗

bioRxiv2025

Genetically encoded nAChR upregulation is neuroprotective in female parkinsonian mice

Parkinsons disease is projected to rise to pandemic proportions by 2050, which has resulted in an urgent need for disease-modifying treatments. In this regard, we previously showed that in a mouse model of parkinsonism with unilateral 6-hydroxydopamine (6-OHDA) injection into the dorsolateral striatum (DLS), low doses of the neuronal nicotinic acetylcholine receptor (nAChR) partial agonist and smoking cessation drug, cytisine exerts sex-specific neuroprotection in substantia nigra pars compacta (SNc) dopaminergic (DA) neurons of only female mice by reducing apoptotic endoplasmic reticulum (ER) stress. Although these data suggest that neuroprotection might occur via cytisine-mediated upregulation of {beta}2 subunit-containing ({beta}2*) nAChRs in SNc DA neurons, there is no direct evidence to support this idea. Therefore, this study asks the critical question of whether upregulation of {beta}2* nAChRs in SNc DA neurons alone is sufficient to reduce apoptotic ER stress and exert neuroprotection in a preclinical unilateral DLS mouse model of 6-OHDA-induced parkinsonism. To address this question, we generate and characterize a novel {beta}2-upregulated transgenic mouse line. These transgenic mice possess mutations in the M3-M4 intracytoplasmic loop of {beta}2 subunits that cause constitutive upregulation of {beta}2* nAChRs without nicotinic ligands. Surprisingly, when compared to wild-type littermates, only female {beta}2-upregulated transgenic mice demonstrate upregulation of {beta}2* nAChRs in SNc DA neurons as assessed by significant increases in Sec24D-containing ER exit sites (Sec24D-ERES). Using the optogenetic calcium and dopamine sensors, GCaMP6f and GRABDA respectively, we found significant increases in dihydro-beta-erythroidine (Dh{beta}E)-sensitive {beta}2* nAChR-mediated calcium influx in SNc DA neuron dendrites and Dh{beta}E-sensitive acetylcholine (ACh)-evoked dopamine release at SNc DA neuron terminals of the DLS in female transgenic mice. We then used four independent readouts to assess neuroprotection of SNc DA neurons following unilateral 6-OHDA injection into the DLS, viz., contralateral apomorphine-induced rotations, preservation of SNc DA neurons, inhibition of a major proapoptotic ER stress protein, C/EBP homologous protein (CHOP) and glial fibrillary acid protein (GFAP) expression in SNc astrocytes. In all four readouts, female {beta}2-upregulated transgenic mice showed significant neuroprotection. From a clinical perspective, this study shows that upregulation without nicotinic ligand-mediated activation of {beta}2* nAChRs in SNc DA neurons can be a translationally viable disease-modifying strategy for Parkinsons disease. In addition, we envision that the novel transgenic {beta}2-upregulated mice created in this study will provide a valuable tool for understanding the role of nAChR upregulation in major neurological disorders such as addiction, anxiety, depression and dementia.

neuroscience↗

bioRxiv2025

Climbing fibers selectively recruit disinhibitory interneurons to enhance dendritic calcium signaling in cerebellar Purkinje cells

Climbing fiber (CF) inputs to Purkinje cells (PCs) instruct plasticity and learning in the cerebellum1-3. Paradoxically, CFs also excite molecular layer interneurons (MLIs)4,5, a cell-type that inhibits PCs and can restrict plasticity and learning6,7. However, two types of MLIs with opposing influences have recently been identified: MLI1s inhibit PCs, reduce dendritic calcium signals, and suppress plasticity of granule cell to PC synapses2,6-9, whereas MLI2s inhibit MLI1s and disinhibit PCs8. To determine how CFs can activate MLIs without also suppressing the PC calcium signals necessary for plasticity and learning, we investigated the specificity of CF inputs onto MLIs. Serial EM reconstructions indicate that CFs contact both MLI subtypes without making conventional synapses, but more CFs contact each MLI2 via more sites with larger contact areas. Slice experiments indicate that CFs preferentially excite MLI2s via glutamate spillover4,5. In agreement with these anatomical and slice experiments, in vivo Neuropixels recordings show that spontaneous CF activity excites MLI2s, inhibits MLI1s, and disinhibits PCs. In contrast, learning-related sensory stimulation produced more complex responses, driving convergent CF and granule cell inputs that could either activate or suppress MLI1s. This balance was robustly shifted toward MLI1 suppression when CFs were synchronously active, in turn elevating the PC dendritic calcium signals necessary for LTD. These data provide mechanistic insight into why CF synchrony can be highly effective at inducing cerebellar learning2,3 by revealing a critical disinhibitory circuit that allows CFs to act through MLIs to enhance PC dendritic calcium signals necessary for plasticity.

neuroscience↗

bioRxiv2025

Depletion of extracellular asparagine impairs self-reactive T cells and ameliorates autoimmunity in a murine model of multiple sclerosis

Amino acids play critical roles in the activation and function of lymphocytes. Here we show that the non-essential amino acid, asparagine, is essential for optimal activation and proliferation of CD4+ T cells. We demonstrate that asparagine depletion at different time points after CD4+ T cell activation reduces mitochondrial membrane potential and function. Furthermore, asparagine depletion at specific time points during CD4+ T cell differentiation reduces cytokine production in multiple CD4+ T cell subsets. In an adoptive transfer model of experimental autoimmune encephalomyelitis (EAE), myelin oligodendrocyte-specific pathogenic T helper 17 cells differentiated under Asn-deficient conditions exhibited reduced encephalitogenic potential and attenuated EAE severity. In a model of EAE induced by active immunization, therapeutic depletion of extracellular Asn significantly reduced disease severity. These results identify asparagine as a key metabolic regulator of the pathogenicity of autoreactive CD4+ T cells and suggest that targeting asparagine metabolism may be a novel therapeutic strategy for autoimmunity.

immunology↗

bioRxiv2025

Vascular smooth muscle cell atherosclerosis trajectories characterized at single cell resolution identify causal transcriptomic and epigenomic mechanisms of disease risk

Vascular smooth muscle cells (SMC) contribute to heritable coronary artery disease (CAD) risk and undergo complex cell state transitions to multiple disease related phenotypes. To investigate the genetic basis of SMC state trajectories that underlie the SMC component of CAD causality we have developed a dense timecourse single cell transcriptomic and epigenetic map of atherosclerosis in a murine disease animal model. Cellular trajectories were derived from the temporal data and probabilistic fate modeling with Waddington-Optimal Transport (WOT). We created transcription factor (TF) centered regulons mapped across the developmental timeline and through network-based prioritization with WOT predicted TFs and in silico TF perturbation, identified key drivers of cell state changes associated with EMT, vascular development, and circadian clock functions. Integration of mouse disease data with human CAD genetic findings identified transition SMC phenotypes that mediate disease risk and point to causal disease mechanisms. Parallel studies using knockout of the validated CAD gene Tcf21 revealed its impact on SMC transition cellular phenotypes and disease risk genes, due in part to a role regulating the transition of SMC precursor cells in the secondary heart field. Together, these studies characterize atherosclerosis trajectories at single cell resolution and identify genetic causal transcriptomic and epigenomic mechanisms of CAD risk.

genomics↗

bioRxiv2025

GDF15 reprograms the microenvironment to drive the development of uveal melanoma liver metastases

Uveal melanoma (UM) results in fatal liver metastasis, yet little is known about the interactions between UM and host cells in the tumor microenvironment that promote this distinctive proclivity. Here, we used single cell (sc)-RNA-Seq analysis of UM-hepatic stellate cell (HSC) co-cultures to demonstrate that HSCs enriched for UM cell states that expressed genes implicated in cell survival, metabolic reprogramming and angiogenesis. A lead candidate driver of HSC reprogramming was the TGF-{beta} family member GDF15, which was associated with a metastatic UM phenotype. Silencing of BAP1 in UM cells led to increased GDF15 expression and accumulation of H3K27ac marks at the GDF15 promoter. Treatment of HSCs with GDF15 led to increased expression extracellular matrix proteins, inflammatory cytokines and angiogenic factors, including IL-8. Both exogenous GDF15, IL-8 and conditioned media from UM-HSC co-cultures increased endothelial cell network formation in vitro, an effect that was blocked by anti-GDF15 antibodies. In multiple models of metastatic UM, silencing of GDF15 inhibited the outgrowth of metastatic lesions, associated with reduced deposition of extracellular matrix and recruitment of endothelial cells. UM liver metastasis development is dependent upon GDF15-mediated remodeling of the liver microenvironment leading to an angiogenic response and matrix deposition that supports tumor growth.

cancer biology↗

bioRxiv2025

Development of Auditory and Spontaneous Movement Responses to Music over the First Year of Life

Humans across cultures not only share the ability to recognise music but also respond to it through movement. While the sensory encoding of music is well-studied, when and how infants naturally start moving to music is largely unexplored. This study simultaneously investigates infants neural (auditory) responses and spontaneous movements to music during the first postnatal year. Neural activity (EEG) and body kinematics (markerless pose estimation) were recorded from 79 infants (aged 3, 6, and 12 months) listening to refrains of childrens music, along with shuffled, high-pitched, and low-pitched versions of the same songs. Neural data revealed that, across all ages, infants exhibit enhanced auditory responses to music compared to shuffled music, indicating that auditory encoding of music emerges early in development. Movement data revealed a different outcome. While coarse auditory-motor coupling is present at all ages, more complex structured movement patterns emerge in response to music only by 12 months. Notably, no age group demonstrated evidence of coordinated movements to music. Additionally, enhanced auditory responses to high vs low pitch were only evident at 6 months, while infants movements were better predicted by high-pitched compared to low-pitched music at all ages. This study provides initial insights into how the developing brain gradually transforms music into spontaneous movements of increasing complexity.

neuroscience↗

bioRxiv2025

Theory of interaction between untuned modulatory inputs and tuned sensory inputs

How does the brain integrate sensory inputs with non-feature-tuned signals, such as those arising from behavioral state changes or neuromodulation? Here, we show that the dynamics of disordered E/I networks with structured, feature-dependent connectivity can be well characterized by an effective model describing interactions between the responses of cells who prefer the current sensory stimulus ("matched" cells) and the responses of cells firing at the baseline. This effective network exhibits strong feedback from the baseline onto the matched responses but weak reverse projections. Thus, an untuned stimulus not only directly drives matched cells, but also indirectly drives them via modulation of the baseline. We demonstrate through a linear response analysis that the baseline effect on the matched response is suppressive if the network is strongly coupled and feedback-inhibition dominated. In particular, in this regime, feature-dependent networks produce "rate reshuffling", wherein untuned optogenetic excitation yields large changes in the individual responses of matched cells without significantly changing their overall firing rate distribution, as the optogenetically-induced baseline response suppresses the matched response. Finally, if multiple sensory stimuli are presented, yielding sublinear response summation ("normalization"), the influence of the baseline on the matched responses is weakened. Thus, an untuned (e.g., optogenetic) stimulus is less suppressive to multiple stimuli than to a single stimulus, making normalization effectively weaker in the presence of an untuned stimulus. Our framework provides the first theory of the interaction of untuned modulatory and tuned sensory inputs, reconciles prior experiments, and provides testable predictions about tuned-untuned interactions in cortical processing. Significance StatementSensory cortex receives both tuned sensory inputs, and untuned signals e.g. from global stimulus changes, behavioral state changes, or neuromodulation. We lack a theory of how these inputs are integrated. We demonstrate reduction of circuit models to a model of interactions between baseline and sensory-stimulus-matched responses, and develop an exact linear response analysis of activity perturbation by untuned inputs. We show baseline-to-matched coupling is strong, while matched-to-baseline is weak, and the former is suppressive given sufficiently strong and inhibition-dominated connectivity. We extend the theory to multiple tuned stimuli. The theory offers a mechanistic explanation of previous surprising observations ("rate reshuffling"), yields new predictions, and provides a general framework for understanding the impact of modulatory influences on sensory processing.

neuroscience↗

bioRxiv2025

Modulating populational variance of methyl-guanine methyl transferase expression through miR-181d degradation: a novel mechanism of temozolomide resistance

Intratumoral heterogeneity plays a pivotal role in cancer evolution, providing the substrate for adaptation to selective pressures, including treatment with chemotherapy. Here, we show that micro-RNA regulation of variance in the expression of the DNA repair protein methyl-guanine methyl transferase (MGMT) contributes to this heterogeneity and acquired therapeutic resistance. In cell lines derived from glioblastomas, the most common form of primary brain tumor, treatment with standard-of-care temozolomide chemotherapy triggers a feed-forward loop between polyribonucleotide nucleotidyltransferase 1 (PNPT1) and miR-181d, an MGMT regulating miRNA, expediting miR-181d degradation. This degradation requires the activation of Ataxia Telangiectasia and Rad3-related (ATR) kinase. The degradation of miR-181d in glioblastoma cells increased both the mean and the variance of MGMT expression in the cell population. Subclone reconstituted cell populations with similar populational mean MGMT levels but with differences in the variance of MGMT expression exhibited differential temozolomide sensitivity, with the higher MGMT variance population showing increased resistance. This resistance is suppressed by exogenously transfected miR-181d. These findings suggest a key role for miRNA in regulating intra-tumoral heterogeneity through modulation of key DNA repair enzymes and provide a compelling rationale for miRNA delivery as a platform for glioblastoma therapy. Significance StatementThis study demonstrates a mechanistic link between a feed-forward loop mediating microRNA degradation and cell-to-cell variance in gene expression, and the contribution of this mechanism to intratumoral heterogeneity and therapeutic resistance. We show that when glioblastoma, the most common form of adult primary brain tumor, is treated with standard-of-care chemotherapy, temozolomide, a feed-forward loop between miR-181d and PNPT1 is initiated, causing rapid degradation of miR-181d. This degradation increases the cell-to-cell variability in methyl-guanine methyl transferase (MGMT) expression, expanding intra-tumoral heterogeneity and contributing to acquired temozolomide resistance. This process can be suppressed by therapeutic delivery of microRNA, providing compelling considerations for clinical translation.

cancer biology↗

bioRxiv2025

CytoAnalyst: A web-based platform for comprehensive single-cell RNA sequencing analysis

Single-cell technologies have revolutionized our ability to study cellular heterogeneity and dynamics at unprecedented resolutions. In this fast-growing field, it becomes increasingly challenging to navigate the vast amount of tools and steps for analysis. It is particularly difficult to integrate and analyze large datasets that require extensive collaborations and customized pipelines to obtain robust results. We present CytoAnalyst, a web-based platform that offers a number of important advantages over existing tools for single-cell analysis. First, the platform enables custom pipeline configuration using an efficient study management system and a broad range of analysis modules. Second, the platform supports parallel analysis instances, facilitating the comprehensive comparison of different methods or parameter settings available at each analysis step. Third, the advanced sharing system facilitates real-time synchronization among team members and seamless analysis continuation across different devices. Finally, the multi-grid visualization system supports simultaneous display of different data aspects, allowing for the comparison of multiple labels and plots side-by-side for comprehensive data insights, with the ability to save and reload visualization settings at any analysis step. The platform incorporates multiple blending modes, allowing users to combine plots in various ways for comprehensive data exploration. CytoAnalyst supports a high level of analytical rigor while providing user-friendly and flexible operations through its carefully designed interface and extensive documentation. The platform supports all major web browsers and is freely available at https://cytoanalyst.tinnguyen-lab.com.

bioinformatics↗

bioRxiv2025

Expanding Targeted Instrumentation for Discovery Applications: Complement Reporter Ion Quantification with a Quadrupole-Ion Trap Instrument

Proteomics workflows have traditionally been divided into discovery-based and targeted approaches, with instrumentation optimized specifically for each. Discovery experiments typically utilize high-resolution analyzers while targeted workflows rely on the sensitivity and specificity of triple quadrupole systems. Recently, a quadrupole-ion trap instrument (Stellar MS) demonstrated superior performance for targeted applications compared to conventional triple quadrupoles. In this study, we expand the capabilities of this platform to multiplexed shotgun proteomics using complement reporter ion quantification in an ion trap (iTMTproC). Benchmarking experiments with defined standards show that iTMTproC achieves quantification accuracy and interference reduction comparable to MultiNotch MS3 on the Orbitrap Fusion Lumos, a dedicated quadrupole-ion trap-Orbitrap tribrid instrument optimized for this purpose. Notably, iTMTproC quantifies slightly more proteins than MultiNotch MS3. We further validate this approach through a developmental time-series analysis of frog embryos, obtaining proteomic data nearly indistinguishable from MultiNotch MS3, with slightly increased protein quantification depth. These findings significantly extend the functionality of targeted instrumentation, underscoring the versatility of quadrupole-ion trap systems and providing cost-effective access to highly accurate, multiplexed quantitative shotgun proteomics.

systems biology↗

bioRxiv2025

Selective decoupling of IgG1 binding to viral Fc receptorsrestores antibody-mediated NK cell activation against HCMV-infected cells

A key mechanism of antiviral antibodies is to bind cell-surface viral antigens and activate cellular immunity to clear infected cells, yet antibodies targeting human cytomegalovirus (HCMV) have exhibited limited efficacy. This appears due to HCMVs multiple immune evasion mechanisms, including viral receptors (vFc{gamma}Rs) which bind human IgG Fc domains to co-operatively inhibit Fc activation of host Fc{gamma} receptors and impair Fc-mediated effector functions. We biochemically characterized and evaluated the functions of two highly conserved vFc{gamma}Rs, gp34 and gp68, and mapped their binding epitopes on the Fc domain. Based on this information, we then engineered Fc variants that retain binding to CD16A, which is essential for NK activation, and to FcRn but have markedly attenuated binding to gp34 and gp68. IgG1 antibodies targeting the gB fusogen with engineered Fc domains were not internalized by infected cells, mediated enhanced CD16A activation and limited viral spread in HCMV-infected fibroblasts more effectively than wild-type Fc. Together, this work demonstrates a strategy to enhance the efficacy of antibody therapies to clear HCMV infections. HighlightsO_LIHost and HCMV FcR compete for IgG1 binding but engage different residues. C_LIO_LIFc-engineering abrogates viral FcR antagonism while retaining CD16A activation. C_LIO_LIAntibodies that resist vFcR capture promote superior ADCC against infected cells. C_LIO_LIDesigner Fc domains complement Fabs to create enhanced disease-specific therapies. C_LI

immunology↗

bioRxiv2025

Anatomical and Molecular Characterization of the Zebrafish Meninges

The meninges are a set of connective tissue layers that surround the central nervous system, protecting the brain from mechanical shock, supporting its buoyancy, guarding it from infection and injury, and maintaining brain homeostasis. Despite their critical role, the molecular identity, developmental origins, and functional properties of the cell types populating the meninges remain poorly characterized. This is in large part due to lack of cell type specific markers and difficulty in visualizing and studying these structures through the thick mammalian skull. Here, we show that the zebrafish, a genetically and experimentally accessible vertebrate, possesses an easily imaged mammalian-like meninges. Anatomical and cellular characterization of its composition via histology, electron microscopy, and confocal imaging shows that the adult zebrafish possesses complex multilayered meninges with double-layered dura mater and intricate leptomeningeal layers. Using single cell transcriptomics, we define the molecular identities of meningeal cell populations, including a unique ependymin (epd)-expressing cell population that constitutes the major cellular component of the leptomeningeal barrier and is essential for brain development and survival. These findings support the use of zebrafish as a useful comparative model for studying the meninges, provide a foundational description for future zebrafish meningeal research, and identify a new Leptomeningeal Barrier Cell that serves as the primary epithelial cell component of the leptomeninges.

developmental biology↗

bioRxiv2025

Visual pathway origins: an electron microscopic volume for connectomic analysis of the human foveal retina

The fovea is a unique specialization of the primate retina and is a promising site for obtaining the first complete connectome of a human central nervous system (CNS) structure. Within the fovea, neural cells and circuits have been miniaturized and compressed during evolution to sample the visual image at highest spatial resolution and begin the neural processing that serves human form, color, and motion perception. Here we present a comprehensive analysis of a sample of human foveal retina using deep learning-based segmentation to reconstruct all cells and synaptic connections at nanoscale resolution. We classified [~]3,000 cells into 51 distinct morphological types based on their structural features and connectivity patterns. Our observations reveal novel synaptic pathways absent in non-human primates, suggesting specialized circuits contribute uniquely to human trichromatic color vision. A biophysical model of the distinct connectomes made by gap junctions (electrical synapses) between short- (S) and medium-long- (ML) wavelength-sensitive cone photoreceptors, suggests chromatic interactions between S and ML cones prior to the first chemical synapse. Segmentation of retinal ganglion cells (RGCs) suggests the presence of only 11 visual pathways, with 5 high-density RGC pathways accounting for over 95% of foveal output to the brain: a dramatic contrast to the 40+ ganglion cell types recognized in mouse retina. Our connectomic analysis reveals distinctive features of human neural circuitry and demonstrates how AI-based computational approaches can advance understanding of human brain structure and function. Significant statementVision begins in the retina, an accessible outpost of the brain located at the back of the eye. When we directly view an object, we use the fovea--a tiny region containing over 50 distinct, densely packed neuron types. How these diverse cells interconnect through synapses to transmit visual information has been difficult to determine. Here, we used artificial intelligence-based computational methods to create a complete wiring diagram--a connectome--mapping every neuron and synapse in a sample of human fovea. This connectomic resource will be freely available to researchers worldwide. Discoveries so far include synaptic circuits linked to human color vision, demonstrating how connectomics can reveal what makes the human nervous system unique.

neuroscience↗

bioRxiv2025

Auditory Perception Induces Cortical and Thalamic Event-Related Desynchronization in the Mouse

Studies of human perception have shown early cortical signals for primary information encoding, and later signals for higher order processing. An important late signal is the cortical event-related desynchronization (ERD) in the alpha (8-12Hz) and beta (12-30Hz) frequency band, which has been linked to human perceptual awareness. Detailed mechanistic investigation of the ERD would be greatly facilitated by availability of a suitable animal model. We conducted local field potential recordings in the mouse frontal association cortex (FrA), thalamic intralaminar centrolateral nucleus (Cl), primary auditory cortex (A1), and primary visual cortex (V1) during two auditory tasks. Fully audible brief 50 ms stimuli with both tasks produced early broadband gamma (30-100Hz) frequency activity at 0-250ms, followed by a late cortical alpha/beta ERD 250 - 750 ms after stimulus onset. The ERD was statistically significant in FrA and A1, but not in V1. Interestingly, a significant ERD was also observed in thalamic Cl. The magnitude of the ERD at full stimulus intensity, and the slope of the relationship between stimulus intensity versus ERD magnitude, were both largest in FrA, and smaller in Cl and A1. Conversely, for early broadband gamma activity the magnitude at full intensity and slopes were largest in A1, smaller in Cl and smaller still in FrA. These findings suggest that mice, like humans, process perceptual signals in hierarchically organized corticothalamic networks, and strongly support mice as a promising platform for further investigation of the ERD to better understand the origin and function of this robust yet understudied electrophysiological phenomenon. Significance StatementAuditory-induced alpha/beta event-related desynchronizations (ERDs), decreases in cortical activity between 8 and 30Hz following auditory stimulus presentation, are thought to represent systems underlying higher perception and cognition. However, fundamental mechanistic studies are difficult in humans, the dominant organism for studying this phenomenon. In this study we assess mice as a potential alternative model organism. Our results demonstrate that mice exhibit auditory-induced alpha/beta ERDs, that this response is also present in subcortical regions of the mouse brain, and that the cortical ERD is largest and most strongly related to auditory stimulus amplitude in association cortex rather than in primary auditory cortex. These results support the efficacy of mice as an ideal model organism for further examination of alpha/beta ERDs.

neuroscience↗

bioRxiv2025

Predicting cognition using estimated structural and functional connectivity networks and artificial intelligence in multiple sclerosis

BackgroundOur prior work demonstrated that estimated structural and functional connectomes (eSC and eFC) generated using multiple sclerosis (MS) lesion masks and artificial intelligence (AI) models can predict disability as effectively as SC and FC derived from diffusion and functional MRI in MS. The goal of this study was to assess the ability of eSC and eFC in predicting baseline and 4-year follow-up cognition in MS patients. MethodsOne hundred seventy-one MS patients (age: 42.67{+/-}10.41, 74% females) were included. The Symbol Digit Modalities Test (SDMT), California Verbal Learning Test (CVLT), and Brief Visuospatial Memory Test (BVMT) were used to assess cognition. The Network Modification tool was performed to estimate SC, which was then used as an input to Krakencoder, an encoder-decoder model, to estimate FC. Ridge regression was performed to predict cognition using regional eSC and eFC, along with demographics and clinical information as well as conventional MRI metrics. Baseline cognition was added to the models that were used to predict the follow-up cognition. Spearmans correlation (r) was used to assess the prediction accuracy. ResultsThe highest accuracy was obtained when predicting follow-up SDMT using regional eSC or eFC (median r=0.58 for eSC and r=0.56 for eFC). Decreased eSC and eFC in the cerebellum and increased eFC in the default mode network were associated with lower follow-up SDMT scores. Baseline SDMT, clinical subtype, and age were the most important non-connectome metrics in predicting follow-up SDMT. ConclusionsOur findings demonstrate that eSC and eFC derived from clinically acquired MRI and AI models can effectively predict cognition. The use of lesion-based estimates of connectome disruptions may potentially improve cognition-related individualized treatment planning.

neuroscience↗

bioRxiv2025

Human newborns form musical predictions based on rhythmic but not melodic structure

The ability to anticipate rhythmic and melodic structures in music is considered a fundamental human trait, present across all cultures and predating linguistic comprehension in human development. Yet, it remains unclear the extent to which this ability is already developed at birth. Here, we used temporal response functions to assess rhythmic and melodic neural encoding in newborns (N = 49) exposed to classical monophonic musical pieces (real condition) and control stimuli with shuffled tones and inter-onset intervals (shuffled condition). We computationally quantified context-based rhythmic and melodic expectations and dissociated these high-level processes from low-level acoustic tracking, such as local changes in timing and pitch. We observed encoding of probabilistic rhythmic expectations only in response to real but not shuffled music. This proves newborns ability to rely on rhythmic statistical regularities to generate musical expectations. We found no evidence for the tracking of melodic information demonstrating a downweighing of this dimension compared to the rhythmic one. This study provides neurophysiological evidence that the capacity to track statistical regularities in music is present at birth and driven by rhythm. Melodic tracking, in contrast, may receive more weight through development with exposure to signals relevant to communication, such as speech and music. SignificancePerception and appreciation of music stem from humans universal ability to track sequential pitch and timing variations, forming musical melodies and rhythms. To investigate the neurobiological origins of this capacity, we measured neural encoding of rhythm and melody in newborns listening to naturalistic music. We demonstrate a precocious ability to track high-level rhythmic statistical regularities beyond low-level acoustic features. Conversely, melodic tracking is virtually absent at birth, likely emerging with later exposure to pitch-varying signals such as speech and music. This reveals that newborns gradually rely on different sound dimensions to start making sense of the auditory environment. While rhythm and melody are both universal components of music, they do not emerge in parallel but instead develop along distinct timelines.

neuroscience↗