1825 papers
This study demonstrates through simulations and empirical validation that using specparam to model rhythmic power provides a more accurate and independent quantification of rhythmic and arrhythmic brain components compared to detrending methods, which conflate the two and produce spurious correlations.
This study demonstrates that visual working memory contents are adaptively distributed across peripheral motor effectors, with gaze and hand movements preferentially encoding remembered features depending on whether the behavioral task requires a wheel adjustment or a drawing response.
This study identifies the Bone Morphogenetic Protein (BMP) signaling pathway as a critical regulator of prion uptake, demonstrating that both genetic activation and pharmacological inhibition of this pathway respectively enhance or suppress prion internalization and propagation in human cell models.
This study demonstrates that the basal forebrain cholinergic system orchestrates task-dependent cortical dynamics by spatiotemporally multiplexing diverse signals and causally driving evidence accumulation and decision-making processes during specific cognitive tasks.
This study presents a biophysically detailed model demonstrating that sleep-modulated disinhibition drives both synaptic and systems memory consolidation by enabling spontaneous, time-compressed replay of spatial sequences, a process accelerated by ripples but capable of sustaining memory transfer even when ripples are absent.
This paper presents a scalable single-molecule fluorescence in situ hybridization workflow that achieves whole-organism spatial transcriptomics at single-cell resolution in *C. elegans*, enabling the multiplexed profiling of up to 40 genes to identify neuronal classes and reveal sex- and neuron-specific expression patterns.
This paper demonstrates that behavioral biases in sensory decision-making arise not from separable prior expectations and neural resources, but from the direct embedding of prior information into neural tuning curves, which is supported by re-analyzed V1 physiology and allows for efficient, Bayes-optimal inference.
This paper demonstrates that a deep learning framework based on edge-driven image reconstruction can unify diverse lightness illusions as emergent properties of surface filling-in mechanisms, challenging the need for complex 3D scene inference or distinct processing mechanisms.
This study identifies three distinct post-translational modification (PTM) enzyme co-expression modules that define metabolic, pro-inflammatory, and reparative microglial states with dynamic spatiotemporal patterns during cerebral ischemia-reperfusion injury, thereby establishing a transcriptional framework for understanding microglial heterogeneity and developing stage-specific stroke therapies.
This study demonstrates that an automated behavioral analysis framework using DeepLabCut-based markerless pose estimation provides a reliable, objective, and highly reproducible alternative to labor-intensive manual scoring for assessing motor outcomes in a neonatal rat model of hypoxic-ischemic brain injury.
By employing genetic multiplexing and EL-INTACT-enabled snRNA-seq across 12 time points under light-dark and constant darkness conditions, this study reveals that most transcriptional dynamics in adult Drosophila circadian neurons are intrinsic and circadian, while identifying a distinct subset of light-responsive transcripts that likely mediate entrainment and phase-shifting.
The paper introduces FORCE1s, a versatile, positive-going genetically encoded voltage indicator engineered to enable robust, spike-resolved two-photon imaging across diverse platforms, including standard microscopes and affordable miniscopes, thereby democratizing deep-tissue voltage recording in vivo.
This study demonstrates that in a rat model of neonatal hypoxic-ischemic encephalopathy, combining complement modulation with therapeutic hypothermia yields synergistic neuroprotective and functional benefits that overcome the sex-specific limitations observed when either treatment is used alone.
This study demonstrates that mammalian visual acuity and lifespan are supported by separable cellular mechanisms in the primary visual cortex, where neuron density correlates with visual resolution while glial density is linked to longevity, positioning humans as outliers in glial support for neuronal metabolism.
This study demonstrates that individuals with Parkinson's disease exhibit impaired awareness of balance control, which is significantly associated with their postural instability, suggesting that deficits in monitoring action-outcomes contribute to balance dysfunction beyond mere motor impairment.
This study proposes a novel EEG-based framework for detecting schizophrenia by integrating spectral power, Multiscale Permutation Entropy, and graph-theoretic connectivity features, achieving high classification accuracy with a Random Forest model while highlighting the critical role of theta and beta band connectivity, though the findings remain preliminary due to a small sample size.
This study identifies ferroptosis as a shared pathological mechanism linking brain neurodegeneration and skeletal muscle dysfunction in Parkinson's disease, driven by pathological α-synuclein interacting with the Transferrin receptor 1 to induce iron accumulation and oxidative stress.
This study reveals that when choices depend on inferring latent variables like elapsed time and reward probability without continuous sensory evidence, human behavior approaches optimality through a dynamic, linear distortion of inferred reward probabilities and reward-modulated temporal precision, rather than following traditional Weber-law scaling.
This study demonstrates that the effects of exercise on anxiety-like behavior and cytokine levels in mice are complex and depend on whether the exercise is acute or chronic, as well as the specific sex, brain region, and tissue involved.
This study demonstrates that bilateral ablation of the lateral reticular nucleus (LRN) in rats impairs skilled reaching primarily by reducing endpoint precision and consistency through increased variability, while also affecting reach timing and paw height, thereby highlighting the LRN's critical role in movement refinement and stabilization.