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neuroscience: explore 87 source-linked works published from 2026 to 2026, with original documents and citations.

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Sources: biorxiv. Collection updated 2026-09-17. Counts describe this index, not the complete source archives.

Scorpion toxin peptide BMK86-P1 achieves mutation-reversible inhibition of KCNA2 at the cost of reduced efficacy in heteromers and murine neurons

The discovery of distinctive function-phenotype relationships in monogenetic channelopathies has turned out to be critical for the development of precision medicine approaches. However, the best prediction of clinical phenotypes depends on neuronal function, where existing models lack tools to isolate currents of individual voltage-gated potassium channel subunits and differentiate variant effects in complex systems. Ideally, one should be able to overexpress subunit variants with an additional mutation that confers resistance against the tool to isolate the variant effect. Therefore, we solid-phase synthesized the KV1.2 specific scorpion toxin peptide BMK86-P1 and oxidized it with modest efficacy. In mammalian cells this BMK86-P1 selectively inhibited KV1.2 homomers, but not heteromers with KV1.1. Critically, the KCNA2 p.Val381Tyr mutation, which reverses BMK86-P1's selective inhibition of KV1.2, also altered the activation of KV1.2 homomers to resemble those of KV1.1. In addition, BMK86-P1 in murine neurons did not alter passive membrane properties, single action potential properties, or action potential firing. Surprisingly, it induced only minimal changes in spontaneous excitatory postsynaptic currents. In summary, this KV1.2 subunit selective toxin peptide asserts its effects primarily on homomeric channels, while only weakly inhibiting KV1.2-heteromeric channels and consequently preventing any meaningful impact on neuronal function. This highlights the limits of peptide synthesis together with the need for testing specific compounds on complex systems.

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An adolescent neuroimaging database combining movie-watching, eye-tracking and cognitive tasks

Adolescence is a critical period of neurodevelopment, yet most neuroimaging datasets focus on adult populations, leaving a gap in our understanding of how the brain processes information during this formative stage. Here we present a multimodal neuroimaging dataset acquired from 41 adolescent participants aged 11-18 years, combining 3T fMRI data with concurrent eye-tracking and physiological monitoring during naturalistic movie-watching. Data are shared in BIDS-compliant format and technical validation demonstrates good data quality across participants, with low head motion and strong inter-subject neural synchronisation during movie-watching. In addition to the scanning session, participants completed remote assessments covering a broad range of self-reported developmental and mental health traits, alongside cognitive tasks targeting reward-based and social learning. This dataset offers a rich resource for studying the adolescent brain, with particular utility for research on individual differences in mental health and cognition. All data and processing code is openly available to facilitate reproducible science.

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Adolescent blockade of complement signaling in the lateral septum increases social novelty seeking behavior in male mice

Social behaviors are critical for survival and change dramatically over the lifespan. Adolescence is a critical period of development during which social novelty seeking peaks before declining into adulthood. Adolescence is also a time of pronounced neural circuit refinement as excess synapses are eliminated. One critical mechanism supporting this maturation of neural circuits is microglial pruning of synapses through the classical complement signaling cascade. However, it remains unclear how microglial pruning of the neural circuitry supporting social novelty preference shapes the trajectory of this behavior during adolescence. To address this, we blocked microglial complement-dependent pruning during adolescence by injecting neutrophil inhibitory factor (NIF; blocks the adhesion of ligands to CD11b/C3 receptor) in the lateral septum (LS), a key node in the social circuitry supporting social novelty preference, in male mice. We found that NIF administration into the LS during adolescence increased preference for the novel social chamber over the familiar as compared to control PBS administration. LS-NIF treatment had no impact on anxiety-like behavior in the light-dark box test and no effect on sociability. LS-NIF treatment also decreased the expression of immune-related genes in the LS as compared to PBS treatment. These data support the hypothesis that complement-dependent microglial synaptic elimination in the LS is critical for the developmental progression of social novelty preference.

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Aberrant neuronal cell cycle re-entry induces late-onset Alzheimer's disease relevant neuropathological and gene expression changes

Aberrant neuronal cell cycle re-entry (NCCR) is an alternative pathogenic mechanism in Alzheimer disease (AD) that has gained substantial support in the literature. The pathogenic role of ectopic NCCR is supported by our past work demonstrating that SV40T-mediated NCCR in adult mice can induce numerous pathologies associated with AD. Since NCCR is chronically induced for an extended period in the mouse model which gives rise to numerous pathologies including neuroinflammation, many of these neuropathological changes could simultaneously participate in driving disease progression. We hypothesized that the NCCR is a primary pathogenic driver and that halting this disease process at a later age could be sufficient for preventing the progression of AD-related pathologies. Here we show that modulation of NCCR at a later age prevents the progression of AD pathologies, including Abeta; and tau pathologies. Furthermore, functional genomics analysis demonstrates the late-onset AD (LOAD)-relevance of NCCR. Our findings suggest that our NCCR mouse model could help identify novel therapeutic targets that could aid in preventing AD progression.

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Ligand-binding/transcriptional repressor domain-deficient REV-ERBβ inhibits dendrite and spine formation of newborn adult hippocampal neurons

REV-ERB{beta} is a transcriptional repressor of nuclear receptors that regulates the circadian rhythm and plays an important role in regulation of the proliferation, differentiation, and maturation of neurons. Dysregulation of the circadian rhythm has been associated with neuropsychiatric disorders, and activation of REV-ERBs can induce anxiolytic behavior in mice. Furthermore, hippocampal neurogenesis is important in the effects of antidepressants. However, the role of REV-ERB{beta} in adult hippocampal neurogenesis in vivo at the single-cell level is not known. In this study, protein localization of REV-ERB{beta} in the subgranular zone of the hippocampal dentate gyrus (DG) was mainly shown in NeuN-positive neurons, and the effect of expressing a dominant negative form of REV-ERB{beta} lacking the C-terminal region on newborn neurons in the hippocampal DG of adult mice was examined to investigate the role of REV-ERB{beta} in neurogenesis. A retroviral vector containing the dominant negative REV-ERB{beta} or a control vector was injected into the mouse DG. At 4 weeks after injection, the morphology of dendrites and dendritic spines of newborn neurons labeled by the virus was examined. Expression of the dominant negative form of REV-ERB{beta} inhibited dendrite outgrowth and branching and decreased dendritic spine formation in newborn neurons in the adult mouse hippocampal DG. This study revealed a new role for REV-ERB&{beta} in adult hippocampal neurogenesis at the single cell level, and the results will provide insight into neurogenesis in the adult brain and its relationship with psychiatric disorders.

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Behavioral signatures suggest distinct modes of suppressing irrelevant information during tactile temporal attention in human participants

To make adaptive perceptual judgments, the nervous system must selectively process behaviorally relevant sensory information while filtering out competing distractions. Although attentional control has been extensively studied in the visual domain, particularly in the context of spatial selection, considerably less is known about how attention operates in the tactile modality and across time rather than space. Here, we developed a paradigm to investigate temporal tactile attention in human participants, enabling the study of attentional behavior and underlying behavioral strategies in this sensory domain. Participants were instructed to categorize the intensity of a task-relevant tactile stimulus delivered to the fingertip while ignoring an irrelevant tactile stimulus. A visual cue indicated which of two sequentially presented stimuli was relevant on each trial. In addition, participants completed self-report questionnaires assessing autistic traits and aberrant salience (the tendency to assign significance to otherwise neutral stimuli or events). Across subjects, participants performed the task with high accuracy. However, clustering analyses based on behavioral features revealed distinct response profiles. One cluster did not exhibit biases induced by the irrelevant stimulus. In contrast, a third cluster displayed a repulsive effect of the irrelevant stimulus and showed lower overall performance. These behavioral phenotypes were also reflected, to some extent, in differences in learning trajectories across training sessions. We further explored participants' metacognitive awareness through a post-experiment questionnaire assessing subjective evaluations of task difficulty and performance. Although exploratory, the results suggest a relationship between metacognitive reports, behavioral strategies, and objective task performance. In contrast, neither autistic traits nor aberrant salience scores were associated with performance measures or behavioral phenotypes. Together, these findings support the view that attentional control is implemented through multiple, individualistic behavioral strategies rather than a single mechanism pertaining to all, suggesting that task structure interacts with individual predispositions to shape distinct modes of attentional control in human participants.

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Single nucleus RNA sequencing and spatial transcriptomics reveal unique functionalities of gray matter versus white matter oligodendrocytes in aging and Alzheimer's Disease

Oligodendrocyte (OL) dysfunction and white-matter (WM) vulnerability are increasingly recognized as important aspects of aging and Alzheimer's Disease (AD), yet human WM-focused, cellular-resolution transcriptomic data remain limited. Here, we profiled prefrontal WM from 48 brain donors spanning young adulthood and late-life with low versus high AD Neuropathologic Change (ADNC) using single-nucleus RNA sequencing followed by spatial transcriptomics (CosMx) in a subset of matched donors. We integrated aged WM OLs with a reference dorsolateral prefrontal cortex grey-matter (GM) OL dataset (SEA-AD) to define region- and pathology-associated OL programs. Across modalities, GM OLs exhibited a robust synapse/neurotransmitter-associated transcriptional signature relative to WM OLs, whereas this program was reduced with aging and attenuated in high ADNC GM. In contrast, WM OLs showed stronger immune-associated programs with aging and further enhancement in high ADNC, including cytokine/chemokine signaling and antigen presentation-related pathways. High ADNC WM OLs also displayed amplified proteostasis and stress-adaptation signatures, including selective upregulation of chaperone/heat shock genes and ferritin subunits, consistent with increased protein-folding demand and altered iron handling. To resolve OL state organization beyond static differential expression, we annotated OL sub-states using marker panels and inferred pseudotime-guided directional state-to-state flows within each tissue/condition stratum. This analysis identified a conserved newly formed differentiating (NFOL)/differentiating [->] lipid remodeling (APOE/ABCA1/LPL+) [->] Stress/ISR-reactive architecture, with a pronounced expansion of the Stress/ISR-reactive compartment and altered transition-associated pathway enrichment in high ADNC WM. Together, these data define WM-specific OL programs linked to aging and ADNC and nominate a stress/immune-enriched OL state landscape consistent with a putative senescence-like phenotype in diseased WM.

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Cortical Hierarchy Dynamically Organizes Large-Scale Neural Propagation

Flexible behaviour depends on the continuous coordination of sensory-driven and internally guided processing, yet whether the cortical hierarchy spanning lower-order sensory to higher-order association systems dynamically organizes large-scale cortical propagation over time remains unclear. Here we combined source-resolved magnetoencephalography with Riemannian cortical-flow modelling to derive hierarchy consistency, a moment-to-moment measure of the alignment between cortical propagation and the principal sensory-to-association functional gradient. We found that large-scale cortical propagation was dynamically organized by the cortical hierarchy. Hierarchy consistency exhibited a reproducible low-frequency periodic component that defined a characteristic timescale for the continuous updating of propagation direction. This dynamic organization was coordinated by a distributed cortical switchboard spanning the default-mode, salience, control and limbic systems, and was constrained by structural connectivity and network-control architecture. It flexibly adapted to behavioural demands, with hierarchy consistency increasing across both sensorimotor and working-memory states, while its characteristic periodicity shifted in a task-dependent manner. Moreover, hierarchy-related propagation dynamics were systematically reorganized across ageing and associated with higher-order cognitive function. Together, these findings establish the cortical hierarchy as a dynamic organizing principle that continuously shapes the direction and temporal evolution of large-scale cortical propagation to support adaptive behaviour.

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Postmortem Alterations of Metabotropic Glutamate Receptors across Neuropsychiatric Disorders: A Systematic Review

Metabotropic glutamate receptors (mGluRs) regulate glutamatergic transmission and have been implicated in diverse neuropsychiatric disorders, but human postmortem evidence remains fragmented. We aimed to map these findings across diagnoses, receptor subtypes, brain regions, and measurement modalities. Following PRISMA guidelines, we systematically searched MEDLINE, EMBASE, and Web of Science from inception to August 8, 2026, for studies assessing GRM transcripts, as well as mGluR protein abundance, localization, assembly, or receptor binding in human postmortem brain tissue. Of 532 records identified, 57 reports met eligibility criteria. Findings were synthesized narratively because of substantial heterogeneity in diagnoses, brain regions, receptor subtypes, and assays. Postmortem evidence was concentrated on mGluR5, mGluR2/3, and mGluR1, and on the prefrontal cortex, anterior cingulate cortex, and hippocampus. mGluR-related alterations were reported across disorders, including schizophrenia, major depressive disorder, Alzheimer disease, autism spectrum disorder, and alcohol use disorder. Although most analyses yielded null findings, the direction and magnitude of mGluR alterations varied across brain regions, receptor subtypes, and molecular endpoints. This inconsistency may partly reflect the distinct biological levels captured by transcript abundance, total protein, receptor assembly, localization, and ligand binding, together with regional, cell-type, disease-stage, and clinical heterogeneity. The available evidence therefore suggests context-dependent alterations in mGluR biology but not a uniform or disorder-specific molecular signature. Integration of postmortem findings with other approaches, including in vivo imaging, may clarify their biological and clinical significance.

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Effects of Instructional Context on Neural Features of Attention during Learning Activities in Children with and without ADHD

Attention is foundational to learning, yet the extent to which features of the instructional environment differentially shape attentional engagement is not well understood. Here we leveraged mobile EEG and video-coded behavioral observation to examine attentional engagement in 6 to 10 years old children with and without a diagnosis of ADHD across instructional conditions varying in delivery modality (video watching, online, in-person) and management of learning (teacher-led versus student-led). EEG measures, including alpha-band (8-12Hz) oscillations, spectral slope and offset, and behavioral measures of active engagement (AE%), passive engagement (PE%), fidgeting, off-task behavior, were examined as a function of instructional context. Attentional engagement, as indicated by higher AE%, lower alpha power, flatter spectral slope and lower offset, was greatest in student-led learning, followed by teacher-led in person learning, synchronous online learning, and asynchronous learning, respectively. Child by instructional context interactions revealed that patterns of attentional engagement were largely consistent regardless of diagnosis, with group effects observed for motor behaviors (PE%, fidgeting) but not for measures of visual attention. Similarly, age showed only main effects, whereby older children showed higher passive engagement, lower fidgeting and off-task behavior, flatter spectral slope, and lower offset. The results underscore: (i) the importance of considering environmental context, such as instructional modality and management of learning, when examining mechanisms of attention and individual differences therein, and (ii) the value of recording multiple behavioral and neural measures, as not all indices commonly assumed to reflect attention capture the same underlying processes.

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A cognitive representation in primary visual cortex modulated by vision

Primary visual cortex (V1) is a critical substrate for mammalian vision. Traditionally, visual inputs are thought to be the main drivers of V1 activity, with internal signals playing a modulatory role. Here we show that this relationship is inverted for a large fraction of V1 neurons. In rats completing a navigation task in darkness, these neurons encoded progress along physically distinct paths with a shared turn structure. Under illumination, visual stimuli gain-modulated this path-invariant activity rather than replacing it with stimulus-driven responses. Path-invariant V1 neurons were also preferentially coordinated with hippocampal ensembles during sharp-wave ripples, linking them to a brain-wide network involved in learning. These findings establish that an internal model of the world can serve as a primary driver of activity in sensory cortex.

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Sensory-sleep dysfunction is a shared phenotype across genetically distinct neurodevelopmental disorder models

Sensory abnormalities and sleep disruption frequently co-occur in neurodevelopmental disorders (NDDs), but how sensory input interacts with sleep regulation in NDDs remains poorly understood. Here, we examined vibration-induced sleep (VIS), in which prolonged gentle vibration promotes sleep in Drosophila, in three genetically distinct NDD models: dNf1, dNrx1, and dFmr1. Despite markedly different baseline sleep phenotypes, all three mutants exhibited impaired VIS, identifying disrupted sensory-sleep integration as a shared phenotype across these NDD models. Behavioral responses to vibration, activity-associated CRTC signaling in Nanchung-positive (Nan+) mechanosensory neurons, and thermogenetic activation of Nan+ neurons revealed distinct underlying abnormalities across the three models, indicating that disruption at different points along the sensory-sleep axis can converge on the same behavioral phenotype. The effect of mechanosensory stimulation was also strongly shaped by homeostatic sleep drive: following sleep deprivation, vibration promoted sleep in dNf1 mutants, remained ineffective in dNrx1 mutants, and opposed recovery sleep in dFmr1 mutants. Together, these findings identify impaired sensory regulation of sleep as a point of convergence across genetically distinct NDD models and demonstrate that the expression of this shared phenotype depends on internal state.

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A neuro-computational approximation of the qualities of mental images

Mental images are challenging to study, given that our conscious experience is notoriously hard to access. The currently prevalent introspective methods are inherently subjective and can thus only provide limited access to their qualities. Here, we developed a neuro-computational approach that approximates and assesses the properties of mental images without the need for introspection. To enable this approach, we collected a large-scale EEG dataset (10 participants, 10 sessions each, 43,200 trials total) of participants imagining 16 scenes based on text prompts. We employed AI image generation to create candidate image sets that approximate the content of mental images (based on the imagined text prompts), computationally simulated visual cortex responses to these images and then assessed their representational alignment with rhythmic EEG responses during imagery. In line with previous reports, mid- to high-level features of the AI-generated candidate images yielded reliable alignment with human alpha activity. By manipulating the qualities of the candidate images, we then tested which qualities predisposed higher representational alignment with cortical imagery representations. We found an increased representational alignment for spatially blurred and low contrast images, providing evidence for the prevalent notion of a reduced sensory quality of mental images. We further found that mental imagery may be characterized by a psychedelic image style, which envelops the images in visual flows that distort the image proportions. These results show that our approach can objectively capture qualities of mental images without the need of introspection, providing a hypothesis-based alternative to emerging reconstruction approaches.

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Linoleic Acid-Lyso PG Axis promoting lipid droplet-mitochondria tethering by stabilizing Noncanonically Mitochondrial PPAR β/δ to Ameliorate Microglial Dysfunction in subarachnoid hemorrhage

Background Microglial lipid handling and mitochondrial failure contribute to brain injury after subarachnoid hemorrhage (SAH), but the lipid signals coupling these processes remain unclear. We investigated whether linoleic acid (LA) restores microglial homeostasis through lysophosphatidylglycerol 16:0 (LPG[16:0]) and peroxisome proliferator-activated receptor-{delta} (PPAR{delta}). Methods Cerebrospinal fluid metabolomics included 30 patients with aneurysmal SAH and 10 control participants. Mechanisms were examined in a blood-injection mouse model and hemoglobin-exposed primary mouse microglia using targeted lipidomics, RNA sequencing, mitochondrial and phagocytosis assays, pharmacological perturbation, fractionation, coimmunoprecipitation, thermal shift analysis, and structural modeling. Behavioral outcomes were evaluated by open-field, Y-maze, and Morris water-maze testing. Results; CSF LA was higher in SAH and discriminated the groups within this cohort (area under the curve, 0.9967 [95% CI, 0.9859-1.000]; P<0.001). LA attenuated inflammatory activation and restored phagocytosis, mitochondrial membrane potential, respiration, and ATP production in hemoglobin-exposed microglia. LA restored PLA2G15-associated LPG(16:0), which phenocopied these effects. Transcriptomic and inhibitor analyses identified PPAR{delta} as a downstream effector. LPG(16:0) increased PPAR{delta} stability, and fractionation and protease protection identified a PPAR{delta} pool on the cytosolic face of the outer mitochondrial membrane. PPAR{delta} associated with PLIN2 and CPT1A, promoted lipid droplet-mitochondria apposition, and supported fatty acid oxidation. In mice, LA reduced neuroinflammatory injury and partially improved anxiety-related behavior and spatial memory.

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Redundant information across functionally coupled cortical networks supports rapid perceptual decisions in the ferret

Coordinated activity across cortical areas transforms sensory inputs into perceptual decisions, yet how task-relevant information is distributed across sites and linked to functional interactions and behavior remains unclear. Conventional functional connectivity measures reveal statistical dependencies between neural signals but cannot distinguish information encoded uniquely at individual sites, shared redundantly across sites, or available only from their joint activity. Here, we used Partial Information Decomposition (PID) to characterize stimulus information during fast and slow correct decisions. We analyzed local field potentials (LFPs) extracted from mesoscale electrocorticographic recordings from auditory, visual, and parietal cortices in ferrets performing a visual and audiovisual spatial-detection task. Time- and frequency-resolved analyses of local field potential power and phase showed that stimulus-side information was strongest in the theta and alpha bands and greater during fast than slow responses. PID applied to pairs of recording sites revealed that fast responses were associated with earlier and stronger unique information and a greater relative contribution of redundancy, whereas synergistic contributions were smaller. During fast responses, redundancy was selectively associated with stronger LFP power-envelope coupling. These findings indicate that faster perceptual decisions involve a frequency-specific reorganization of cortical information, characterized by early local encoding and enhanced redundant information across functionally interacting sites.

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Layer 5 anterior cingulate cortical neurons engage dorsolateral periaqueductal gray excitatory neurons to facilitate the affective component of pain

Pain is a conscious perceptual experience characterized by its aversive quality and consequent motivation to quench pain perception. The anterior cingulate cortex (ACC) critically contributes to the emotional dimension of pain. In both humans and rodents, ACC neural activity increases during acute and chronic pain, whereas ACC lesioning or excitability reduction decreases emotional reactivity during pain. However, the ACC is connected to many brain regions and is engaged during experiences beyond pain. Thus, it remains unclear through which circuit mechanisms the ACC shapes pain experience, and how specific those circuits are to nociception. Here, we show that excitatory input from the ACC to the dorsolateral periaqueductal gray (dlPAG) facilitates the affective-motivational dimension of pain. We first examined ACC[->]dlPAG connectivity using histology, optogenetics, and electrophysiology. We found that the axons of layer 5 ACC neurons terminate in the dlPAG and monosynaptically excite Slc17a6+ (VGLUT2-expressing) dlPAG neurons. Second, we genetically targeted ACC[->]dlPAG neurons with viral vectors to express the inhibitory DREADD hM4Di and then exposed the animals to an array of pain tests. We found that, across acute and chronic pain states, inhibition of the ACC[->]dlPAG pathway reduced affective-motivational but not reflexive pain behaviors. Third, we used fiber photometry to record neural calcium activity in the ACC in behaving mice and found that ACC[->]dlPAG neurons are engaged during a broad array of aversive experiences, rather than exclusively during pain, and exhibit task-specific activity patterns. Collectively, these results uncover the direct contribution of ACC[->]dlPAG neural activity to pain unpleasantness and the necessity of this pathway for generating aversive behavioral responses in general, rather than specifically for encoding the unpleasant quality of noxious stimuli.

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A reproducibility-audit framework for generalizable versus dataset-specific molecular transition boundaries in Alzheimer's disease

Molecular staging of Alzheimer's disease (AD) increasingly defines transition boundaries along single-cell pseudo-progression trajectories, yet whether such boundaries reproduce across brain regions, cohorts and molecular modalities is rarely tested. We present a permutation-controlled audit that combines nine boundary-detection algorithms with a fixed marker panel and four orthogonal reproducibility axes-algorithmic consensus, region, cohort and modality. On synthetic data with planted ground-truth boundaries the audit reaches 100% sensitivity and 94% specificity, rejecting four distinct artefact classes each by a different axis. Applied to the Seattle Alzheimer's Disease Brain Cell Atlas middle temporal gyrus, it localizes a transition that is robust across algorithms and recovered in most cell types but does not generalize: its leading marker is attenuated or absent in prefrontal cortex, entorhinal cortex and cerebrospinal fluid, and an apparent cross-region conservation of glial metabolic genes proves to be a global-expression offset rather than a shared program. The same audit nonetheless certifies an externally validated marker (astrocytic PTGDS) as reproducible across regions and modalities, showing that it separates generalizable anchors from dataset-specific ones rather than rejecting all signals. We provide this four-axis audit as a transferable, code-available standard to apply before a trajectory boundary is read as a biological stage, in AD and other progressive proteinopathies.

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Pallidal beta oscillations underlying locomotor adaptation in Parkinsons disease

BackgroundLocomotor adaptation is essential for adjusting walking patterns to complex environments. This study investigated locomotor adaptation deficits in people with Parkinsons disease (PD) and examined oscillatory activity in the globus pallidus internus (GPi) during walking adaptation. We hypothesized that elevated beta-band activity in the GPi is associated with reduced locomotor adaptability in PD. MethodsTwelve PD patients with GPi deep brain stimulation (DBS) (eleven bilateral and one unilateral) were included. Local field potentials (LFPs) were recorded from DBS electrodes during split-belt treadmill walking. Patients were tested in the medication-off, DBS-off state. Locomotor adaptation was measured as the change in step length asymmetry during split-belt walking, with smaller changes indicating greater adaptation deficits. ResultsWe found that GPi high beta (20-30 Hz) and low gamma (30-60 Hz) oscillations were modulated during split-belt walking. Compared to adapters, non-adapters showed decreased movement-related beta suppression during walking. Across participants, beta activity in the GPi contralateral to the fast leg was negatively associated with adaptation magnitude (Spearmans {rho} = -0.65 to -0.75). ConclusionsGPi oscillations are dynamically modulated during locomotor adaptation in PD. Increased beta activity may underlie impaired sensorimotor adaptation during walking. These findings provide novel insight into basal ganglia mechanisms of gait adaptation in PD and suggest that elevated GPi beta activity may serve as a marker of locomotor adaptation deficits.

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Compare source metadata on this page
WorkPublishedSource identifierSource
Scorpion toxin peptide BMK86-P1 achieves mutation-reversible inhibition of KCNA2 at the cost of reduced efficacy in heteromers and murine neurons2026-09-0310.64898/2026.08.28.747831v1biorxiv
An adolescent neuroimaging database combining movie-watching, eye-tracking and cognitive tasks2026-09-0310.64898/2026.08.28.747840v1biorxiv
Adolescent blockade of complement signaling in the lateral septum increases social novelty seeking behavior in male mice2026-09-0310.64898/2026.08.28.747845v1biorxiv
Aberrant neuronal cell cycle re-entry induces late-onset Alzheimer's disease relevant neuropathological and gene expression changes2026-09-0310.64898/2026.08.28.747879v1biorxiv
Ligand-binding/transcriptional repressor domain-deficient REV-ERBβ inhibits dendrite and spine formation of newborn adult hippocampal neurons2026-09-0310.64898/2026.08.29.746924v1biorxiv
Behavioral signatures suggest distinct modes of suppressing irrelevant information during tactile temporal attention in human participants2026-09-0310.64898/2026.08.29.747844v1biorxiv
Single nucleus RNA sequencing and spatial transcriptomics reveal unique functionalities of gray matter versus white matter oligodendrocytes in aging and Alzheimer's Disease2026-09-0310.64898/2026.08.29.747923v1biorxiv
Cortical Hierarchy Dynamically Organizes Large-Scale Neural Propagation2026-09-0310.64898/2026.08.29.747943v1biorxiv
Postmortem Alterations of Metabotropic Glutamate Receptors across Neuropsychiatric Disorders: A Systematic Review2026-09-0310.64898/2026.08.29.748003v1biorxiv
Effects of Instructional Context on Neural Features of Attention during Learning Activities in Children with and without ADHD2026-09-0310.64898/2026.08.29.748025v1biorxiv
A cognitive representation in primary visual cortex modulated by vision2026-09-0310.64898/2026.08.29.748029v1biorxiv
Sensory-sleep dysfunction is a shared phenotype across genetically distinct neurodevelopmental disorder models2026-09-0310.64898/2026.08.31.748066v1biorxiv
A neuro-computational approximation of the qualities of mental images2026-09-0210.64898/2026.08.25.747062v1biorxiv
Linoleic Acid-Lyso PG Axis promoting lipid droplet-mitochondria tethering by stabilizing Noncanonically Mitochondrial PPAR β/δ to Ameliorate Microglial Dysfunction in subarachnoid hemorrhage2026-09-0210.64898/2026.08.26.747434v1biorxiv
Redundant information across functionally coupled cortical networks supports rapid perceptual decisions in the ferret2026-09-0210.64898/2026.08.30.748127v1biorxiv
Layer 5 anterior cingulate cortical neurons engage dorsolateral periaqueductal gray excitatory neurons to facilitate the affective component of pain2026-09-0110.64898/2026.08.24.746788v1biorxiv
A reproducibility-audit framework for generalizable versus dataset-specific molecular transition boundaries in Alzheimer's disease2026-09-0110.64898/2026.08.24.746808v1biorxiv
Pallidal beta oscillations underlying locomotor adaptation in Parkinsons disease2026-09-0110.64898/2026.08.25.744491v1biorxiv

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