1918 papers
This paper presents an optimized protocol for isolating high-quality, myelin-free nuclei from mouse hippocampus and cerebellum using benchtop gradient centrifugation and optional magnetic enrichment, enabling successful single-nucleus RNA sequencing.
Using brainstem-optimized fMRI, this study demonstrates that task-dependent modulation of stretch-evoked motor responses is associated with measurable, instruction-specific activation changes in human brainstem reticulospinal regions, confirming their role in rapid feedback control.
This paper presents a fully automated method that integrates T1-weighted, T2-FLAIR, and T2-weighted MRI contrasts to achieve self-consistent tissue segmentation and robust identification of perivascular spaces, validated on 773 datasets from 403 participants in aging and Alzheimer's disease studies.
This study demonstrates that visual mechanisms alone, specifically static masking and the naturalistic temporal structure of saccadic velocity profiles, significantly reduce perceived motion during simulated eye movements, thereby supporting perceptual continuity across saccades.
This study demonstrates that the human visual cortex follows a retinotopic wiring principle where cortical regions representing the same visual locations preferentially connect, a structural organization that preserves neural geometry and explains perceptual asymmetries across the human lifespan.
By integrating pharmacodynamic profiles with receptor density data from PET and autoradiography, this study maps the whole-brain distribution of classic hallucinogens and ketamine, revealing that their rapid antidepressant effects are driven by strong action in emotion-processing regions, particularly association cortices and supragranular layers.
This study utilizes whole-brain, cellular-resolution calcium imaging in zebrafish to uncover genotype-specific network wiring rules and functional connectivity patterns that predict seizure susceptibility and Dravet syndrome pathology even in the absence of observable seizures.
This study demonstrates that in the human posterior parietal cortex, hand-eye coordinated movements are encoded through additive, separable tuning curves for individual effectors, enabling the modular decoding of complex coordinated actions using decoders trained solely on single-effector movements.
This study establishes a framework for generating spatially registered, paired metabolomic and proteomic maps across entire rhesus monkey cortical hemispheres at millimeter resolution, utilizing novel computational algorithms to reveal conserved molecular gradients and reconstruct complete metabolic circuits that reflect spatially organized biological variance.
This study introduces a robust fusion hidden Markov modeling framework for simultaneous resting-state EEG-fMRI data, revealing a dominant, persistent brain state alongside two transient alternative states that exhibit distinct hemodynamic and electrophysiological characteristics.
This study presents a zero-parameter walk-sum framework that analytically derives frequency-dependent brain communication architecture directly from structural connectome topology, successfully predicting spatial coupling patterns across diverse MEG and intracranial EEG datasets while revealing how anesthesia and schizophrenia alter these structural channels.
This paper proposes "Disco," a unified theory suggesting that subicular activity encodes discontinuities in continuous experience—whether geometric, behavioral, or temporal—using a generalized vector-based coding scheme to explain diverse neural selectivity across various contexts.
The paper introduces HeteroRC, a biologically inspired and interpretable heterogeneous reservoir computing framework that outperforms conventional linear decoders and complex neural networks by effectively extracting latent nonlinear, non-phase-locked, and "activity-silent" information from dynamic neural responses without requiring manual feature engineering.
This paper introduces a physics-informed neural network framework that integrates the Balloon-Windkessel model into its training objective to accurately estimate latent neurovascular state variables and generate subject-specific haemodynamic response functions from fMRI data, overcoming the limitations of traditional phenomenological approaches.
This study demonstrates that Insulin-like Growth Factor 1 (IGF-1) exerts region-specific effects on glutamate receptor activity by inhibiting AMPA receptor-mediated calcium responses in neocortical neurons while enhancing them in hippocampal neurons, suggesting a potential neuroprotective role against excitotoxicity in the neocortex that may be compromised in conditions like insulin resistance.
This study reveals that tau protein drives neurodegeneration by entering mitochondria and interacting with complex I to induce pathological reverse electron transport, creating a self-perpetuating cycle of oxidative stress and hyperphosphorylation that can be interrupted by blocking this interaction or inhibiting reverse electron transport.
This study demonstrates that in healthy adults, age-related declines in glymphatic system efficiency and processing speed are accompanied by increased meningeal lymphatic vessel volumes, with a combined lymphatic function metric significantly predicting cognitive performance.
This study reveals that rod photoreceptor health critically depends on the cytosolic enzyme GOT1 to prevent toxic NADH accumulation, whereas the mitochondrial enzyme GOT2 is downregulated during stress as a protective mechanism, identifying reductive stress as a key driver of degeneration and GOT2 as a novel therapeutic target.
Using fNIRS hyperscanning in a virtual Minecraft environment, this study demonstrates that successful human group hunting relies on coordinated movement and is characterized by increased prefrontal brain-to-brain synchrony compared to chance levels.
This study demonstrates that acute exposure to beta-sheet-containing tau oligomers reversibly impairs sharp-wave ripple oscillations in both mouse and human hippocampal slices, with species-specific effects on ripple parameters, establishing a high-throughput ex vivo model for investigating Alzheimer's disease mechanisms and screening therapeutics.