1904 papers
This study demonstrates that individual differences in low-level locomotor speed and spatial coverage co-vary with an exploratory visual style, supporting the existence of a domain-general "exploration" factor that shapes both movement and attention during free navigation in a large-scale virtual city.
This study demonstrates that in juvenile myoclonic epilepsy, reduced general mental ability is linked to increased thermodynamic rigidity and lower noise in resting-state brain network dynamics, suggesting that both intrinsic circuit abnormalities and pharmacological stabilization may constrain the brain's exploration of functional states.
This study demonstrates that prenatal maternal inflammation, particularly during the second trimester, is associated with altered macro- and microstructural integrity of mesolimbic white matter circuits in offspring observed in late midlife, suggesting a potential biological mechanism linking early-life inflammation to later-life affective and motivational disorders.
This study demonstrates that treating the brain with the highly attenuated PVSRIPO virus safely reprograms microglia via a non-cytopathogenic viral RNA replication mechanism, thereby enhancing their ability to clear neurotoxic amyloid-beta debris and treat gliomas without triggering harmful inflammation.
This study demonstrates that while an intravenous oxycodone self-administration regimen in rats successfully models the incubation of cue-induced craving, it does not concurrently produce persistent negative affective states, likely due to lower drug intake compared to non-contingent escalating dose regimens.
While a specific sulcal interruption in the left posterior occipital temporal sulcus robustly predicts reading skills in typical children, this anatomical feature does not distinguish dyslexic readers or predict their response to intervention, highlighting that educational support rather than fixed neuroanatomy drives reading improvement in dyslexia.
This study demonstrates that in preclinical 5XFAD mice, declines in CSF and plasma Aβ42/Aβ40 ratios correlate with the progression of β-sheet-rich Aβ deposition, validating these fluid biomarkers as sex-dependent, translatable indicators of early Alzheimer's disease pathology.
This paper introduces a novel voxel-wise O-information framework that bridges high-order information theory with standard neuroimaging pipelines to capture complex multivariate brain interactions, demonstrating its utility in revealing age-related reductions in redundancy within the default mode network.
This study demonstrates that low-intensity focused ultrasound (LIFU) non-invasively enhances meningeal lymphatic drainage to prevent cognitive decline and reduce Alzheimer's pathology by activating the Piezo1 ion channel in lymphatic endothelial cells, offering a promising and clinically translatable therapeutic strategy.
This study characterizes YX84, a novel neuroactive steroid with a unique structure that acts as a potent GABA_A receptor full agonist and positive allosteric modulator while also inhibiting NMDA receptors, demonstrating favorable behavioral tolerability in animal models despite requiring further pharmacokinetic optimization.
This study establishes a scalable, optimized human neuron-microglia tri-culture platform using deterministically programmed cells that enables the systematic investigation of neuroimmune interactions and the modeling of genetic variants, such as the TREM2 R47H mutation associated with Alzheimer's disease, on developing neuronal network dynamics.
This paper introduces EmoFB, a biologically inspired deep neural network model that integrates intrinsic affective appraisal and external contextual steering to demonstrate how top-down feedback dynamically reshapes visual representations, improves recognition under ambiguity, and enhances alignment with human brain activity across key emotional and visual processing regions.
This study demonstrates that peripherally administered GLP-1R agonists activate the central amygdala (CeA) to induce hypophagia, a process mediated by multiple CeA neuron populations including Prkcd, Glp1r, and Sst-expressing cells, with Glp1r neurons specifically playing a crucial role in suppressing the consumption of energy-dense, palatable diets.
This study identifies somatic variants activating the RAS-MAPK pathway, particularly in *PTPN11*, as a shared developmental genetic cause of hippocampal sclerosis in drug-resistant epilepsy that lowers the threshold for seizure-induced injury, thereby redefining the condition from a purely acquired lesion to a genetic susceptibility.
This study validates the HIV-1 transgenic rat as a biological model for age-related neurocognitive impairments, demonstrating that older HIV-1 Tg rats exhibit deficits in temporal processing and attention driven by neuronal dysfunction and amyloid beta accumulation, particularly in the medial prefrontal cortex.
This study demonstrates that a combined "High-Low" training regimen of repeated normobaric hypoxia and voluntary exercise significantly improves respiratory function and reduces anxiety-like behaviors in a rodent model of chronic cervical spinal cord injury, likely mediated by beneficial shifts in peripheral T cell profiles.
The study introduces Perturb-CLEAR, a method combining pooled CRISPR screening with whole-mount imaging and transcriptomics to reveal how neurodevelopmental disorder risk genes drive gene-specific, concordant remodeling of both dendritic morphology and gene expression in the developing mouse brain.
This study reveals that in rhesus macaques, a transient burst of activity in foveal superior colliculus neurons precedes and likely facilitates the rapid representational transformation required for peripheral saccadic orienting by triggering a brief pause in target-related neurons before their motor bursts.
This paper presents a multimodal passive Brain-Computer Interface (pBCI) that fuses EEG and fNIRS data processed by a SincShallowNet deep learning model to achieve high-accuracy, objective classification of sub-clinical depressive states during an emotional working memory task.
This paper proposes that continuous temporal difference learning, which integrates fast model-based value change computations with a slower model-free cache, unifies diverse dopamine signaling patterns—including phasic errors, tonic modulation, and activity ramps—into a single computational framework validated across independent rodent datasets.