1845 papers
This study introduces a novel muscle network analysis framework that identifies distinct patterns of redundant and synergistic muscle interactions as biomarkers to stratify post-stroke motor impairment and therapeutic responsiveness, revealing a shift from redundancy to synergy as a hallmark of effective motor recovery.
This paper presents a model demonstrating how a dynamic gating mechanism allows widely broadcast graded signals to be selectively received by different neuronal populations, thereby enabling continuous evidence accumulation and decision-making across changing frames of reference without requiring changes in synaptic connectivity.
This study demonstrates that multiplexed computation in macaque motor cortex arises not from specialized single-layer processing but from the coordinated, temporally dynamic reorganization of laminar subspaces, where subtle variations in layer weights enable distinct coding representations to coexist and propagate along structured trajectories as task demands evolve.
This paper presents a novel automated machine learning framework that integrates discrete differential geometry and 3D image processing to accurately segment and analyze dendritic spine morphology in dense neural networks, thereby overcoming the limitations of manual annotation and accelerating research into synaptic plasticity and neurological disorders.
This study integrates human embryonic spinal cord single-cell data to create a reference atlas that validates stem cell-derived dorsal interneurons and identifies autism spectrum disorder-associated gene signatures within mechanosensory populations, thereby clarifying the molecular basis of human somatosensory circuit development.
This paper describes a community-based participatory approach in Bradford, UK, where adolescents co-designed and prioritized research themes for a new developmental neuroimaging program, revealing mental health and stress as top concerns while highlighting demographic variations in other interests.
This study demonstrates that a commensal-derived lipoteichoic acid (SELTA) activates TLR2 signaling in dorsal root ganglion neurons to induce PD-1 expression, which subsequently suppresses intracellular calcium responses and alleviates inflammatory pain through a neuroimmune checkpoint mechanism.
The study identifies UB-ALT-P2, a novel brain-penetrant P2X7 receptor antagonist, as a potent therapeutic agent that mitigates core Alzheimer's disease pathologies, including amyloid-beta plaques, tau hyperphosphorylation, and neuroinflammation, while improving cognitive function in mouse models.
This study demonstrates that while serotonin 2A receptors in cortical layer 5 pyramidal neurons are necessary and sufficient for psilocybin-induced neuroplasticity, they are dispensable for the drug's hallucinogenic effects, thereby dissociating these two distinct outcomes.
This paper presents a multi-stage Graph Attention Network framework that integrates gene-level risk scores, pathway-based graph structures, and whole-genome polygenic risk scores to achieve superior Alzheimer's Disease classification accuracy and biological interpretability compared to traditional methods.
This study is the first to demonstrate that HIV-exposed but uninfected adolescents exhibit subtle structural and functional connectivity alterations in the central auditory system, particularly within the inferior colliculus and its cortical connections, without yet showing measurable associations with neurocognitive deficits.
The paper introduces Incremental Cluster TFCE (IC-TFCE), an optimized algorithm that achieves numerically equivalent results to standard Threshold-Free Cluster Enhancement with a 3–93x speedup by incrementally building clusters and utilizing ROI-based storage, thereby making TFCE computationally feasible for large-scale functional connectivity analyses with fine parcellations.
This paper reframes Global Signal Removal (GSR) in fMRI as a family of graph spatial filters, demonstrating that the common Regression-GSR method acts as an oblique projection approximating first eigenmode removal and introducing new variants like PCA-GSR and SC-GSR to systematically control their effects on network connectivity and task-state separability.
Although a phenotypic screen in mouse cells identified two small molecules that selectively lower PrP via a proteasome-dependent post-translational mechanism, their failure to reduce PrP in human cell lines and in vivo highlights the significant translational challenges of mechanism-agnostic screening for prion disease therapeutics.
This study demonstrates that visual adaptation's influence on causality perception is highly spatially specific and recovers gradually over time, with the recovery pattern varying depending on whether the break involves task-relevant visual input.
This study reveals that SARM1 is essential in both macrophages and neurons for efficient peripheral nerve repair by enabling macrophage immunophenotype switching, myelin debris clearance, and the regulation of inflammatory pathways necessary for axon regeneration.
This study demonstrates that the human brain rapidly and implicitly distinguishes AI-generated voices from human voices within approximately 134–176 milliseconds based on spectral envelope features, a process that occurs substantially earlier than the neural decoding of prosodic meaning, suggesting that listeners' reliance on prosodic cues for deepfake detection is likely a post-hoc rationalization rather than the primary neural mechanism.
This study demonstrates that the nucleus accumbens computes a generalized, scale-invariant distance-to-goal signal that supports flexible, memory-guided navigation by integrating dopaminergic inputs to bridge cognitive mapping and reinforcement learning.
This study reveals that the deletion of the autism-associated transcription factor Bcl11a in callosal projection neurons causes cytoplasmic sequestration of the surface protein Lrrtm2 in growth cones, leading to aberrant de novo innervation of the amygdala and highlighting a mechanism by which dysregulated growth cone proteomes disrupt precise cortical circuit formation in neurodevelopmental disorders.
This study introduces a human forebrain assembloid model integrating developmentally matched microglia to demonstrate their critical, previously undescribed role in early neurodevelopment, neural homeostasis, and metabolic regulation.