imaging

Direction-sensitive neural correlates of voluntary pain regulation: regional response attenuation during down-regulation and exploratory prefrontal-valuation coupling

The paper reanalyzes fMRI data to identify neural correlates of voluntary pain regulation, finding distinct patterns for down-regulation and a prefrontal-valuation coupling association for up-regulation.

Phage phenotyping by measuring plaque expansion dynamics

This paper introduces a method to quantify phage killing rates by tracking plaque expansion dynamics on semi-solid media, revealing significant variation in expansion parameters across phages and taxonomic families.

Dispelling the Plateau Assumption: Case-Based Evidence for Language Recovery in Chronic-Post Stroke Aphasia

This study shows that language recovery in chronic post-stroke aphasia can continue for years, supported by neuroplastic changes, using longitudinal behavioral and fMRI assessments.

Social feedback structures stay/switch decision-making in Drosophila

This study investigates how Drosophila males decide to stay or switch behaviors in response to competing social and environmental cues using a closed-loop paradigm and neural imaging.

Charting Cervical Spinal Cord Morphometry Across the Lifespan

The paper generates lifespan normative charts for cervical spinal cord morphometry using MRI data, revealing non-linear changes and sex differences across ages 0-100.

Genotype-dependent behavioral signatures of opioid withdrawal revealed by automated behavioral quantification

This study uses automated behavioral quantification to show that opioid withdrawal behaviors vary with genetic background, but severity can still be assessed within strains.

Automated Segmentation and Tractography of Brainstem and Subcortical White Matter

The paper develops an automated pipeline for segmenting and parcellating brainstem and subcortical white matter pathways using diffusion MRI data.

"Spilling-in" versus "Filling-in": Disentangling bottom-up drive from predictive completion in human V1 to V3

The paper dissociates bottom-up and top-down contributions in human visual areas V1-V3 using BOLD responses to full-field and central scotoma stimuli.

Naturalistic face-directed attention predicts face recognition ability

This study shows that naturalistic face-directed attention predicts face recognition ability, with gaze patterns accounting for 22% of the variance in recognition performance.

The Effective Visual Acuity of Butterflies in Flight

This study quantifies how gaze stabilisation limits motion blur in freely flying Monarch butterflies, showing that thoracic oscillations broaden the effective photoreceptor acceptance angle, degrading spatial acuity.

Mapping social relevance in affective scenes: A large-scale multidimensional rating study

The paper presents a multidimensional rating dataset of 296 affective scenes, capturing social and emotional features with high reliability and validity.

RADIAL AND TANGENTIAL FIBER COMPONENTS IN HUMAN SUPERFICIAL WHITE MATTER AND THEIR ASSOCIATIONS WITH MACROSCALE FUNCTION

This paper develops a framework to distinguish radial and tangential fiber components in human superficial white matter and examines their microstructural and functional properties.

Benchmarking longitudinal local centiles for radiographic knee osteoarthritis prognosis

This paper benchmarks longitudinal local centile maps for predicting radiographic knee osteoarthritis progression using MRI data.

Streamlined Production of Recombinant Adeno-Associated Viruses Using Gateway Cloning Technology for Neural Circuit All-Optical Interrogation

The paper introduces a Gateway-based cloning platform for efficient construction of rAAV vectors optimized for neuroscience applications, enabling precise optical interrogation of neural circuits with tools like ULoVE.

Division-resolved inference of flow and trajectories in proliferating cell populations

DRIFT infers division-resolved cellular dynamics from population measurements, recovering accurate state progression and redistribution in proliferating cell populations.

The Listening Effort Profile of Eye Movements: Easy, Difficult, and Impossible Speech Comprehension

The study examines how eye movements and pupil size reflect listening effort across easy, difficult, and impossible speech comprehension in noisy environments.

Application of deep learning and explainable AI-supported medical decision-making for facial phenotyping in genetic syndromes

This study evaluates if explainable AI (XAI) improves diagnostic accuracy and confidence in genetic syndrome recognition using facial images, finding mixed results with AI predictions having greater impact than XAI explanations.

Associations Between Neural Responses to Social Fairness and Financial Exploitation Vulnerability Vary With Age and Emotional Intelligence

The paper examines how neural responses to social and nonsocial fairness relate to financial exploitation vulnerability, showing age and emotional intelligence modulate these associations.

Distinct Patterns of Cortical Reorganisation Accompany Behaviour-Specific Development in Freely Behaving Infants

This paper introduces a naturalistic fNIRS paradigm to study behaviour-specific cortical reorganisation in infants by analyzing spontaneous behaviour and hemodynamic responses.

Acceleration of vision changes object representations from infancy to adulthood

The paper shows that accelerating visual information flow in adults mimics infant vision, reducing fine-grained object distinctions while preserving general object representations.

Multi-Trajectory Pseudotime Inference via Permutation Factorizations

Factorizing multiple monotone pseudotimes into one shared donor permutation plus cluster-specific warps (HiP-BIND) yields Alzheimer's donor orderings agreeing better with Braak, ADNC and CERAD staging than single-trajectory B-BIND.

Retinal cell mosaics in the valproate-induced rat model of autism spectrum disorder

The paper examines changes in retinal neuron density and spatial organization in a rat model of autism spectrum disorder induced by prenatal valproate exposure.

Cross-cohort Mamography]{Representation-dependent domain adaptation for cross-cohort generalization of mammography diagnostic models

This study evaluates cross-cohort generalization of mammography diagnostic models using different image representations and domain-adversarial learning, finding that MedSigLIP embeddings provide the best transferability.

Neural Evidence of Early Sensitivity to Text in Pre-reading Toddlers

The paper investigates neural sensitivity to text in pre-reading toddlers using fNIRS and finds distinct brain activity patterns for text versus non-text stimuli.

Topological structure in human spatial representation revealed through drawing

When redrawing simple line figures from memory, adults and 5- to 8-year-olds pulled angles toward 90° yet kept T-junctions more often than L-junctions; adults also compressed length ratios.

Clathrin recruitment and assembly of phosphorylated B cell receptor is impaired in human diffuse large B cell lymphoma

The paper investigates BCR signaling defects in ABC DLBCL, finding impaired clathrin recruitment of phosphorylated CD79A and spatial segregation from BCR components.

FilAdh: degradation-aware analysis of focal adhesions and actin stress fibers

FilAdh is a framework for analyzing focal adhesions and actin stress fibers, achieving high accuracy in segmentation, reconstruction, and classification while revealing measurement biases under degradations.

Brain-wide Cerebrospinal Fluid Recirculation Collapse in Alzheimers Disease

This paper investigates CSF flow failure in Alzheimer's disease by showing structural collapse in perivascular spaces and impaired cholesterol clearance leading to fluid stagnation.

Accurate Hippocampal Electric Field Modeling for Electroconvulsive Therapy: Numerical Accuracy and Convergence

The paper evaluates numerical accuracy and convergence of hippocampal electric field modeling across three methods in ECT patients, finding significant discrepancies at low resolutions.

Distinct NIR Reflectance Spectra Associated with Foliar Symptoms of Beech Leaf Disease

This study uses multispectral NIR imaging to identify distinct reflectance patterns in beech leaves with BLD symptoms, linking increased reflectance to structural changes in leaf tissue.