Kelly Shen

Interactions between age and sex in multiscale entropy and spectral power changes across the lifespan

The paper examines age and sex interactions on multiscale entropy and spectral power across the lifespan using MEG data from a large cohort.

Young and old adult brains experience opposite effects of acute sleep restriction on the functional connectivity network

This study shows that acute sleep restriction affects functional connectivity networks differently in young and old adults, with older adults showing weakened connections and younger adults showing strengthened ones, supporting the compensation theory of aging.

Examining Relationships between Functional and Structural Brain Network Architecture, Age, and Attention Skills in Early Childhood

This study examines how structural and functional brain network architecture, age, and attention skills develop in early childhood using graph theory and longitudinal neuroimaging data.

Dynamic network features of functional and structural brain networks support visual working memory in aging adults

This study examines how structural and functional brain network dynamics relate to visual working memory across the lifespan, finding age-related changes in network states and transitions that support memory capacity.

Reorganization of structural connectivity in the brain supports preservation of cognitive ability in healthy aging

The paper investigates how structural brain connectivity changes with age and cognitive ability, finding both detrimental and beneficial reorganizations in older adults.

A robust modular automated neuroimaging pipeline for model inputs to TheVirtualBrain

The paper introduces an automated pipeline for generating connectome-based inputs for TheVirtualBrain using UK Biobank neuroimaging data.

Deep Learning-Based Parameter Estimation for Neurophysiological Models of Neuroimaging Data

The paper introduces a deep learning approach to estimate parameters in connectome-based neural mass models using fMRI data and demonstrates its effectiveness on synthetic and real resting-state fMRI data.

Signal complexity indicators of health status in clinical-EEG

This study examines multiscale entropy (MSE) in clinical-EEG data to assess its ability to distinguish health status across neurological disorders and non-brain comorbidities.

Virtual connectomic datasets in Alzheimer's Disease and aging using whole-brain network dynamics modelling

The paper introduces virtual connectomic datasets by simulating missing connectivity features from existing neuroimaging data, enabling machine learning classification comparable to empirical data.

Modelling the influence of the hippocampal memory system on the oculomotor system.

The paper models how hippocampal and medial temporal lobe activity influences oculomotor systems in macaques, showing subfield-specific effects and lesion impacts on signal propagation.

Complexity matching: brain signals mirror environment information patterns during music listening and reward

The paper measures brain signal complexity during music listening and reward tasks, finding that perceptual tasks show better complexity matching with music complexity than emotional tasks.

A macaque connectome for large-scale network simulations in TheVirtualBrain

The paper constructs a macaque connectome for use in TheVirtualBrain simulations to model brain network dynamics and validate against empirical resting-state fMRI data.

Exploring the limits of network topology estimation using diffusion-based tractography and tracer studies in the macaque cortex

This study compares diffusion-based tractography and invasive tracer data to assess the accuracy of topological properties in macaque cortical connectomes.