imaging

Functional Data Clustering of Filopodia Dynamics

The paper clusters filopodia dynamics using functional data analysis to identify distinct temporal patterns linked to Notch signaling in fruit fly development.

Maximum Likelihood Localization Maps

This paper introduces a non-iterative method to create molecular probability maps from single-molecule localization data, preserving positional likelihood without coordinate-based rendering.

Brief visual oddball events evoke CSF flow in the spinal canal

The paper measures CSF flow in the spinal canal using fMRI and finds it correlates with BOLD activity decreases and is provoked by visual oddball stimuli.

Generalizable sex differences in functional brain organization follow the cortical hierarchy in youth

The paper examines sex differences in functional brain connectivity across youth, finding that males show greater network integration while females show greater network segregation along the sensorimotor-association axis.

Temporal Structure in Resting-State fMRI under Marginal and Cross-Spectral Surrogate Controls

The paper evaluates temporal complexity measures in resting-state fMRI to identify disease-related changes, finding that real data show greater outliers than randomized controls.

hAM-pe soluble extract increases human keratinocyte HaCaT cell-line mobility in scratch assays

The paper shows that hAM-pe extract accelerates wound closure in HaCaT cells by enhancing cellular motion persistence rather than individual speed.

Geometric Morphometrics of Pistillate Flowers in Astrocaryum sect. Huicungo (Arecaceae): Taxonomic Implications for the Peruvian Species

This study uses geometric morphometrics to analyze pistillate flower shapes in Peruvian Astrocaryum species, revealing taxonomic insights through quantitative shape analysis.

Dopamine synthesis capacity and tau pathology differentially modulate rest-to-task functional network dynamics

This study examines how dopamine synthesis and tau pathology affect functional brain network dynamics during rest and task performance in young and older adults.

The C. elegans Connectome Toolbox: an open, extensible framework for multimodal connectomic data integration and analysis

The paper introduces the C. elegans Connectome Toolbox, a framework for integrating and analyzing multimodal connectomic data, enabling comparison across datasets and modalities.

Infant Sensory Over-Responsivity: Relations to Early Life Adversity, Emerging Behavioral Problems, and Sensory Functional Connectivity

This study identifies prenatal adversity and neonatal brain connectivity as predictors of infant sensory over-responsivity, which links to later behavioral problems.

Dementia Severity Is Associated with Resting-State fMRI Network Responses to Nuisance Regression

The paper examines how dementia severity affects resting-state fMRI network responses to preprocessing, finding that greater severity correlates with reduced temporal concentration after nuisance regression.

Social vision expands into auditory cortices of people born deaf: evidence from naturalistic film and encoding models

The paper compares neural processing in deaf and hearing adults during a film task, finding enhanced visual encoding in auditory cortices of the deaf.

Temporal Variability in Brain Connectivity for Estimating Two-Year Clinical Severity in Mild Cognitive Impairment

The paper examines if temporal variability in brain connectivity improves prediction of two-year clinical severity in mild cognitive impairment compared to static connectivity measures.

Growth-driven mechanical buckling as a mechanism of age-related tortuosity in human cerebral arteries

This study models age-related tortuosity in human cerebral arteries as growth-driven mechanical buckling under spatial constraints, supported by imaging data from MRI.

From smartphone to gene: Automated image-based phenotyping captures flowering diversity of common buckwheat

The paper uses smartphone imaging and automated analysis to phenotype flowering traits in buckwheat, identifying heritable traits and genomic regions associated with flowering patterns.

Connectivity of Implicit Statistical Learning Networks is Associated with Language Impairment Severity in Post-Stroke Aphasia

This study examines how implicit statistical learning networks' connectivity relates to aphasia severity in post-stroke patients, finding stronger connectivity correlates with milder aphasia.

Marker-specific pixel attribution for single-cell protein quantification with PixAQ

PixAQ improves single-cell protein quantification in imaging mass cytometry by assigning pixel signals to specific markers using spatial and intensity models.

Naturalistic recall preserves temporal specificity despite cortical feature reorganization

The paper analyzes fMRI data to show that temporal specificity in recall is preserved despite reorganization of feature representations across the cortex during recall of a narrative episode.

Photographic age gap is associated with frailty and predicts survival in laboratory mice

This paper uses photographs of mice to predict biological age and finds that older appearance correlates with frailty and shorter survival.

Discovering compositional, interpretable structure in social behavior

This paper introduces a method to model social behavior using decomposed linear dynamical systems, showing it captures complex, compositional actions more effectively than existing methods.

Explainable Multimodal Prognostic Modeling Uncovers New Clinically Relevant Pathological Features in a Multi-Institutional Pancreatic Neuroendocrine Tumor Cohort

This paper develops a multimodal prognostic model for pancreatic neuroendocrine tumors using clinicopathologic data and histology images, finding that stromal features are as prognostic as tumor cells.

Bicarbonate-free pH neutralization resensitizes ovarian cancer to chemotherapy and is tracked by 3T CEST MRI

This study shows that inhibiting MCT1 and MCT4 with acriflavine neutralizes tumor acidosis, restores chemotherapy efficacy, and is monitored by 3T CEST MRI without using bicarbonate.

Generalizable virtual staining from histopathology to spatial proteomics across biological scales

This study introduces QUEST, a model that uses H&E histology to predict spatial protein expression, enabling virtual staining and analysis across biological scales.

Loneliness as a modulator of intersubject neural alignment across social and nonsocial contexts

This study examines how loneliness affects neural synchrony during social and nonsocial tasks, finding idiosyncratic responses in lonely individuals and greater synchrony in specific brain regions.

Species identity rather than colony size partitions shape variation in six Caribbean octocorals

The paper examines colony shape variation in Caribbean octocorals, finding that species identity, not colony size, primarily determines shape differences.

Topographic reference modelling of white matter hyperintensities across the adult lifespan

This paper introduces vTRM, a framework to characterize WMH spatial patterns across age and sex, revealing distinct associations with aging, vascular, and neurodegenerative processes.

Photoentrainment as Bayesian Inference: How the central circadian clock may weight and integrate the intensity and wavelength of natural light to estimate astronomical time

The paper proposes a Bayesian model explaining how the circadian clock integrates light intensity and wavelength to estimate astronomical time despite natural variability.

Predicting cortical signal mixing in coarse-resolution fMRI: a forward-operator analysis of surface mapping and the conditional benefit of correction

This paper develops a forward-operator model to predict signal mixing in fMRI and shows that correcting for it improves coarse-resolution cortical mapping.

Metabolic complexity in the human brain supports metastable network dynamics and declines in normative ageing

This study investigates metabolic complexity in the human brain using PET and fMRI, finding that metabolic entropy correlates with network metastability and declines with age.

Stable large-scale network architecture and structured individual variability in the awake mouse brain

The paper introduces the Awake Mouse Connectome Project (AMCP), a dataset of 212 awake mice, and presents functional network atlases and analysis tools for studying brain connectivity and variability.