Neurology

Differential Cerebral White Matter Tract Alterations in Generalized Anxiety Disorder Revealed by Ultra-High Field 7T Diffusion-Weighted Imaging

Generalized anxiety disorder (GAD) is characterized by chronic worry and emotional dysregulation, yet its underlying white matter (WM) architecture remains inconsistent in previous neuroimaging studies. This study aimed to delineate microstructural WM alterations in GAD using ultra-high field (7T) diffusion tensor imaging (DTI) and advanced correlational tractography, evaluating their associations...

Attentional focus and emotion modulate voice recognition deficits in cerebellar stroke patients

The cerebellum, long regarded as a motor structure, is increasingly recognized for its role in higher-order cognitive and socio-emotional functions. Its contribution to vocal emotion decoding, however, remains insufficiently understood. While prior work has linked the cerebellum to attentional control and predictive coding, direct evidence for its role in modulating prosody recognition under expli...

Cilia.io: Computer vision and machine learning reveal spatial patterns of cilia beating dynamics in the spinal cord

Motile cilia coordinate fluid flows that are essential for normal tissue physiology and function. Cilia display diverse beating waveforms, and while p...

The footprint of colour in EEG signal

Our perception of the world is inherently colourful, and colour provides well-documented benefits for vision: it helps us see things quicker and remem...

Explainable 3D CNNs link regional and network level disruption in early Parkinson’s MRIs to symptom progression

Parkinson’s Disease (PD) is a progressive neurodegenerative disorder affecting approximately 1% of the population over 65. Clinical diagnosis typicall...

Protein Compositional Ratio Representation (PCRR) Systematically Improves Human Disease Prediction

Plasma proteomics captures a functional snapshot of human physiology; yet, most machine learning models treat protein abundances as independent variab...

GatorSC: Multi-Scale Cell and Gene Graphs with Mixture-of-Experts Fusion for Single-Cell Transcriptomics

Single-cell RNA sequencing (scRNA-seq) enables high-resolution characterization of cellular heterogeneity, but its rich, complementary structure acros...

Non-invasive vagus nerve stimulation modulates Pavlovian bias in a state-dependent manner

The vagus nerve transmits vital signals between organ systems of the body and the brain. Despite growing interest in non-invasive transcutaneous vagus...

Probabilistic Multi-site MR Image Harmonization via Feature Preserving Conditional Generative Adversarial Networks

Brain magnetic resonance imaging (MRI) is pivotal in diagnosing and monitoring neurological disorders. However, despite their extensive applications, ...

BrainBridge Characterizes Key Factors affecting Alzheimer’s Disease and Associated Phenotypes

Single-cell RNA sequencing (scRNA-seq) has significantly advanced our understanding of Alzheimer’s disease and aging by revealing cellular heterogenei...

Direct Prediction of the Complex-Valued Analytic Signal of EEG from Raw Multichannel Data

Accurate estimation of instantaneous neural dynamics is essential for electroencephalography (EEG)-based brain–state analysis and future closed-loop a...

Cross-species etiologically informed stratification enables T cell receptor-based diagnosis of Parkinson’s Disease

Developing peripheral blood-based diagnostic models for idiopathic Parkinson’s disease (iPD), particularly those leveraging the T-cell receptor (TCR) ...

Machine Learning-Augmented Analysis of Nano-electrochemical Sensor Data for Predictive and Quantitative Assays of Complex Biological Samples

Analytical chemistry provides the content of nearly every scientific, technical and business decision relating to what atoms, molecules and devices ar...

Non-linear gene sets for digital biomarkers of amyotrophic lateral sclerosis

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease caused by the loss of motor neurons. Accurate and accessible blood-based diag...

SpineDL: a Deep Learning-based approach for neuron and anatomical structure segmentation in immunofluorescence images of damaged spinal cords

In this study, we present SpineDL, an open-source deep learning (DL) approach for neurons and anatomical structure segmentation of the spinal cord in ...

Integrative Genomic and Functional Analyses Reveal NINL as a Modulator of Tau Aggregation

Proteostasis dysfunction is a hallmark of frontotemporal dementia (FTD) and Alzheimer’s disease (AD), yet the genetic and molecular pathways that disr...

Integration of artificial intelligence and high-content screening enabled identification of drugs for long-term treatment of cerebral cavernous malformation disease

Adults and children with cerebral cavernous malformations (CCMs) are at risk of experiencing lifelong complications such as hemorrhagic strokes, neuro...

Network Rerouting Under Ayahuasca: Temporally and Hemisphere-Resolved EEG Connectomics

Ayahuasca profoundly alters conscious experience, yet robust, time-resolved EEG markers of its network-level effects remain limited. We combined machi...

A Machine Learning–3D Microvessel Platform Identifies Kinase Targets Restoring Blood-Brain-Barrier Endothelial Integrity

Disruption of the brain endothelial barrier is a hallmark of traumatic brain injury (TBI), and contributes to cerebral edema, coagulopathy, and delaye...

Excellent agreement between automated deep learning-based and manual DWI infarct volume measurements in hyperacute stroke

Diffusion-weighted imaging (DWI) lesion volume and infarct growth are important imaging markers in acute ischemic stroke, but manual volume measuremen...