Ben Fulcher

Heart rate dynamics embed a shared representation of individual brain organization and cognitive function

The paper links heart rate dynamics to brain functional organization and cognitive traits using multi-modal data and statistical analysis.

Dynamic Routing on a Static Structure: Neuromodulatory Gating of Cortical Wave Propagation

This study uses a neural field model to show that neuromodulatory systems dynamically gate cortical wave propagation by altering gain and spatial patterns of activity.

Synchrony, oscillations, and phase relationships in collective neuronal activity: a highly comparative overview of methods

The paper evaluates 122 measures for analyzing synchrony, oscillations, and phase relationships in neuronal activity across synthetic and biological spike trains, highlighting method-specific biases and guiding their use.

Benchmarking overlapping community detection methods for applications in human connectomics

The paper benchmarks overlapping community detection methods on human connectomes, finding OSLOM best identifies overlapping structures and reveals hierarchical cortical organization.

Canonical time-series features for characterizing biologically informative dynamical patterns in fMRI

The paper reduces a large set of time-series features to a smaller, efficient subset for analyzing fMRI data from mouse cortical circuits, showing improved performance and generalization.

Mapping functional, structural, and transcriptomic correlates of homotopic connectivity

The paper maps the relationship between homotopic functional connectivity and anatomical, functional, and transcriptomic organization in the human cerebral cortex, showing preserved regional patterns across neuropsychiatric disorders.

Benchmarking methods for mapping functional connectivity in the brain

This study benchmarks 239 pairwise interaction statistics for functional connectivity mapping, finding substantial variation in their topological, neurobiological, and behavioral properties.

Comprehensive profiling of anaesthetised brain dynamics across phylogeny

This study profiles neural dynamics across species during anaesthesia, finding conserved dynamical changes and linking them to molecular mechanisms.

Synaptome architecture shapes regional dynamics in the mouse brain

The paper shows that synapse diversity in the mouse brain influences regional dynamics, with specific synapse types linked to distinct patterns of brain activity and connectivity.

Extracting interpretable signatures of whole-brain dynamics through systematic comparison

This paper systematically compares interpretable features of fMRI dynamics to identify effective signatures for neuropsychiatric disorder classification.

Reply to: Eigenmodes of the brain: revisiting connectomics and geometry

The paper responds to criticisms of a previous study showing that geometric eigenmodes of the human cortex better reconstruct fMRI activity maps than connectome-derived eigenmodes.

Thalamic Influence Over Adaptive Cortical Dynamics Across Conscious States

This study shows the thalamus controls cortical dynamics across conscious states using fMRI, electrophysiology, and biophysical modeling.

Uncovering a stability signature of brain dynamics associated with meditation experience using massive time-series feature extraction

The paper analyzes EEG data from meditators and non-meditators to identify time-series features that distinguish meditators, finding higher temporal stability in a specific EEG component.

Reply to: Commentary on Pang et al. (2023) Nature

The paper addresses concerns about eigenmode reconstructions in a previous study, demonstrating how specificity is achieved through appropriate benchmarks.

Neurophysiological signatures of cortical micro-architecture

This study maps neurophysiological dynamics to cortical micro-architecture, finding spatial correlations between brain activity patterns and microstructural features.

Neuromodulation of striatal D1 cells shapes BOLD fluctuations in anatomically connected thalamic and cortical regions

The paper investigates how manipulating D1 medium spiny neurons affects BOLD dynamics in connected brain regions using resting-state fMRI.

Geometric constraints on human brain function

This paper shows that brain function can be understood through geometric resonant modes rather than connectivity, revealing brain-wide dynamics in task-evoked activity.

Modeling spatial, developmental, physiological, and topological constraints on human brain connectivity

This study develops a model to capture wiring cost and topological complexity in human brain connectivity but finds models struggle to capture spatial embedding.

Extracting dynamical understanding from neural-mass models of mouse cortex

This paper develops a neural-mass model of the mouse cortex to understand brain dynamics using bifurcation diagrams and shows strong fits to resting-state fMRI data in simple dynamical regimes.

On the intersection between data quality and dynamical modelling of large-scale fMRI signals

This paper shows that fMRI preprocessing choices significantly affect dynamical models of brain activity, highlighting the importance of data quality in model accuracy.

Standardizing workflows in imaging transcriptomics with the abagen toolbox

The paper develops the abagen toolbox to standardize imaging transcriptomics workflows and shows that methodological variability significantly affects research outcomes using the Allen Human Brain Atlas.

Beyond traditional visual sleep scoring: massive feature extraction and unsupervised clustering of sleep time series

This paper introduces a framework using over 7700 time-series features to cluster sleep epochs, revealing both overlaps and discrepancies with traditional visual scoring methods.

Genetic influences on hub connectivity of the human connectome

This study identifies genetic influences on hub connectivity in the human connectome using diffusion-weighted imaging in twins and transcriptomic data.

Overcoming bias in gene-set enrichment analyses of brain-wide transcriptomic data

The paper identifies and addresses statistical biases in gene-set enrichment analysis of brain-wide transcriptomic data, introducing new null models to reduce false positives.

The correspondence between EMG and EEG measures of changes in cortical excitability following transcranial magnetic stimulation

This study investigates the relationship between TEPs and conditioned-MEPs to determine if they reflect the same cortical response following TMS.

Topographic gradients of intrinsic dynamics across neocortex

The paper identifies two topographic gradients of intrinsic brain dynamics across the neocortex, linked to cognitive and functional processing patterns.

Nonlinear Reconfiguration of Network Edges, Topology and Information Content During an Artifical Learning Task

This study examines how network structure and information content change during an artificial learning task, identifying three phases of network reconfiguration.

Scaling of gene transcriptional gradients with brain size across mouse development

The paper examines how transcriptional gradients scale with brain size during mouse development and finds an exponential distance rule for gene expression that scales with brain dimensions.

Core and Matrix Thalamic Sub-Populations Relate to Spatio-Temporal Cortical Connectivity Gradients

The paper identifies Core and Matrix thalamic sub-populations and links them to spatio-temporal cortical connectivity gradients using fMRI and calcium-binding protein data.

Cortical excitation:inhibition imbalance causes abnormal brain network dynamics as observed in neurodevelopmental disorders

The paper shows that increasing the excitation-to-inhibition ratio in mouse cortical circuits using chemogenetics reduces long-range connectivity and can be detected via fMRI-based classifiers.