William Hedley Thompson

TemplateFlow: FAIR-sharing of multi-scale, multi-species brain models

TemplateFlow provides a FAIR framework for sharing and managing multi-scale, multi-species brain models to improve reproducibility in neuroimaging.

Genetic influences on brain activation and large-scale functional connectivity during nociceptive processing: a twin study

Analysis of task-based functional MRI data preprocessed with fMRIPrep

This paper introduces fMRIPrep, a tool for preprocessing task-based fMRI data, and demonstrates its integration into a workflow for statistical analysis.

Dataset Decay: the problem of sequential analyses on open datasets

The paper shows that repeated hypothesis testing on the same open dataset by multiple researchers increases false positives, leading to a decay in the dataset's utility for discovering true relationships.

Human es-fMRI Resource: Concurrent deep-brain stimulation and whole-brain functional MRI

The paper presents a human es-fMRI resource with data from 26 patients undergoing deep-brain stimulation and whole-brain functional MRI, providing raw and preprocessed data for analysis.

Time-varying nodal measures with temporal community structure: a cautionary note to avoid misinterpretation

The paper warns against misinterpreting nodal measures in temporal networks and introduces a corrected temporal participation coefficient to address this issue.

The identification of temporal communities through trajectory clustering correlates with single-trial behavioural fluctuations in neuroimaging data

This paper introduces TCTC, a method for detecting time-varying communities in neuroimaging data, and shows it correlates with single-trial behavioural fluctuations.

A simulation and comparison of dynamic functional connectivity methods

This paper evaluates five DFC methods through simulations and introduces a benchmarking tool for comparing DFC methods.

Brain network segregation and integration during an epoch-related working memory fMRI experiment

This study uses time-varying functional connectivity analysis to examine subnetwork segregation and integration during a working memory fMRI task and resting-state, revealing task-related changes in brain network dynamics.

A common framework for the problem of derivingestimates of dynamic functional brain connectivity.

This paper presents a theoretical framework to compare and evaluate different dynamic functional brain connectivity methods by illustrating their assumptions and facilitating methodological comparisons.

Top-down beta enhances bottom-up gamma.

The paper investigates how top-down beta-band influences from parietal area 7a enhance bottom-up gamma-band processing in visual areas V1 and V4 during attentional tasks.

From static to temporal network theory - applications to functional brain connectivity

This paper introduces temporal network theory and applies it to resting-state fMRI data to analyze dynamic brain connectivity, providing a Python package for the methods.