imaging

Object detection through dynamic motor-sensory convergence

This study identifies a motor-sensory convergence point during object approach in rats, showing it enables robust object detection through dynamic sensory-motor interactions.

From micro-architecture to networks: canonical neurobiological architecture of functional brain organization across the lifespan and in psychopathology

The paper links functional brain network connectivity across age and psychiatric disorders to neurobiological microprofiles, showing stage-specific associations.

Consistent crown phenology, not functional traits, predicts whether tropical trees can be mapped from imaging spectroscopy

The paper finds that consistent crown phenology, not functional traits, is the key factor determining whether tropical tree species can be accurately mapped using imaging spectroscopy.

Emotional Content Enhances Neural Tracking of Conversations

The paper shows emotional content enhances neural tracking of attended conversations, with effects modulated by semantic structure and processing stages.

NeCS-Flow: Necrosis-Guided Contrast-Enhanced MRI Synthesis with Rectified-Flow Refinement

NeCS-Flow synthesizes gadolinium-free post-contrast T1w brain MRI using necrotic scaling and PMRF refinement, achieving perceptual realism and diagnostic equivalence.

Eye movements enhance stereoscopic 3D vision

This study shows that eye movements are essential for stereopsis, as suppressing their induced disparity changes impairs depth perception.

Dissecting the metabolic costs of up- and down-hill walking

The paper evaluates a musculoskeletal model to estimate muscle force- and work-related costs during uphill and downhill walking, finding they correlate with joint moments and net joint work, respectively.

Subspace Image Synthesis for Style-Invariant Object Recognition

The paper prunes neural networks to isolate computational subspaces for style-invariant object recognition and tests their perceptual relevance through image synthesis.

Behavioural state inference from movement and environmental data using Markovian step selection functions

This paper introduces a framework using Hidden Markov Models with Step Selection Functions to infer behavioural states from movement and environmental data, showing improved accuracy in identifying ecologically meaningful states.

Specialized and experience-dependent neural dynamics in the medial amygdala and bed nucleus of stria terminalis upon social and sexual olfactory and tactile cues

This study examines neural activity in the medial amygdala and bed nucleus of the stria terminalis in male rats during social and sexual interactions, revealing distinct response patterns to olfactory and tactile cues based on experience.

CBAM-enhanced MaxViT-Tiny for gastrointestinal endoscopy image classification: Robustness, explainability, and external validation

This paper proposes a CBAM-enhanced MaxViT-Tiny model for GI endoscopy image classification, achieving high accuracy but showing vulnerability to adversarial attacks and unreliable explanations.

Generic versus personalized foot-ground contact models for predictive simulations of walking: Is personalization worth the effort?

This study compares generic and personalized foot-ground contact models in walking simulations, finding that personalized models improve accuracy in estimating ground reactions and joint loads.

Null Subtraction Imaging for Functional Ultrasound Brain Activation Mapping

This study evaluates Null Subtraction Imaging (NSI) for functional ultrasound brain activation mapping in mice, finding it improves spatial resolution but requires balancing DC offset for temporal stability.

Regulatory architecture tunes gene expression noise in the plant heat shock response

This study shows that the plant heat shock regulatory network controls both the magnitude and distribution of stress-responsive gene expression across cells.

ALHENA, an H&E encoder distilled from transcriptomic foundation models for multi-scale slide analysis

ALHENA improves transcriptomic signature prediction and cell-type separability using H&E images alone, without requiring spatial transcriptomics data.

Longitudinal Imaging in a Mouse Model of Focal Cortical Dysplasia Reveals Lesion Expansion and Loss of Pre-Discharge Neuronal Recruitment

This study uses longitudinal imaging in a mouse model of FCD II to show lesion expansion, hypoactive dysmorphic neurons, and loss of pre-discharge neuronal recruitment over time.

Histological morphometric correlates of MRI-defined cortical thinning in temporal lobe epilepsy

This study investigates the histological correlates of MRI-defined cortical thinning in temporal lobe epilepsy, finding that thinning is associated with altered neuronal packing and cell-size distributions rather than neuronal loss.

Mapping Individualized Dual-Axis Network Topology in Focal Epilepsy: Divergent Alterations in System Integrity, Integration, and Clinical Correlates

The paper introduces a framework to analyze network topology in focal epilepsy using resting-state fMRI, identifying two axes that reveal distinct topological phenotypes and their clinical associations.

Cone outer segment renewal in vivo involves progressive particle formation at the photoreceptor-RPE interface

This study uses live imaging in zebrafish to show that cone outer segments are removed in small, successive particles at the cone-RPE interface without extracellular accumulation.

A Real-Time Automated Deep Learning Workflow for Non-invasive High-Magnification Imaging of C. elegans

This paper develops a real-time deep learning workflow for non-invasive high-magnification imaging of C. elegans, enabling stable imaging across magnifications without immobilization.

The Endoplasmic Reticulum as a Cytoplasmic Anchor for Microtubule-Driven Aster Centration

The paper investigates how the endoplasmic reticulum (ER) contributes to microtubule aster centration in sea urchin zygotes through mechanical interactions and 3D modeling.

Live-cell imaging of fetal microglia reveals time-dependent sex differences in their responsiveness to prenatal maternal stress

This study uses live-cell imaging to show sex-specific differences in fetal microglial responses to prenatal maternal cold stress, revealing time-dependent changes in morphology, motility, and phagocytic behavior.

Brain pericytes are an oxidative stress-sensitive cell population damaged through ROS-1 dependent TRPA1 activation.

The paper identifies pericytes as vulnerable to oxidative stress and shows TRPA1 mediates their structural degeneration through ROS-1 activation.

Predicting alcohol consumption from resting-state functional connectivity: Feature relevance and the potential of meta-matching.

This study uses machine learning to predict alcohol consumption from resting-state fMRI connectivity, finding weak but reproducible signals with limited predictive power.

Forward reactivation in human hippocampal CA1 supports repetition learning and is preserved in the aging brain

The paper uses fMRI and representational similarity analysis to show that forward reactivation in hippocampal CA1 supports repetition learning and is preserved in aging.

Spatial uncoupling of endothelial calcium signaling from phosphatidylserine externalization in vascular injury

This study shows that endothelial calcium signaling spreads widely during vascular injury, but phosphatidylserine externalization remains localized, revealing spatial uncoupling between calcium signaling and phospholipid scrambling.

The Impact of Noise on Memorability in Minds and Machines

This study compares memorability estimates from deep neural networks and humans under noise, finding divergence and introducing GraphMem, a relational model that better aligns with human performance.

Sound-Driven Motion of Human Cochlear Structures Depends on Organ of Corti Integrity

This study uses OCT to show that the anatomical integrity of the organ of Corti affects cochlear structural motion in human cadaveric specimens.

Camus: a video-based framework for continuous behavioral monitoring in the mouse home-cage

Camus is a video-based system for continuous behavioral monitoring in mouse home cages, capturing circadian patterns and behavioral deficits in transgenic mice.

A Double Challenge: Cerebral Blood Flow During Concurrent Breath-Hold and Motor Task

This study examines how combined breath-holding and motor tasks affect cerebral blood flow, finding reduced perfusion increases in motor regions during the combined challenge.