On the nature of resting fMRI and time-varying functional connectivity D Lurie, D Kessler, D Bassett, RF Betzel, M Breakspear, S Keilholz, ... Network Neuroscience, 1-40, 2019 | 487* | 2019 |
The readability of scientific texts is decreasing over time P Plavén-Sigray, GJ Matheson, BC Schiffler, WH Thompson Elife 6, e27725, 2017 | 241 | 2017 |
Top-down beta enhances bottom-up gamma CG Richter, WH Thompson, CA Bosman, P Fries Journal of Neuroscience 37 (28), 6698-6711, 2017 | 178 | 2017 |
The frequency dimension of fMRI dynamic connectivity: Network connectivity, functional hubs and integration in the resting brain WH Thompson, P Fransson NeuroImage 121, 227-242, 2015 | 123 | 2015 |
Analysis of task-based functional MRI data preprocessed with fMRIPrep O Esteban, R Ciric, K Finc, RW Blair, CJ Markiewicz, CA Moodie, JD Kent, ... Nature protocols 15 (7), 2186-2202, 2020 | 122 | 2020 |
From static to temporal network theory: Applications to functional brain connectivity WH Thompson, P Brantefors, P Fransson Network Neuroscience 1 (2), 69-99, 2017 | 115 | 2017 |
Dataset decay and the problem of sequential analyses on open datasets WH Thompson, J Wright, PG Bissett, RA Poldrack eLife 9, e53498, 2020 | 71 | 2020 |
Functional resting-state fMRI connectivity correlates with serum levels of the S100B protein in the acute phase of traumatic brain injury WH Thompson, EP Thelin, A Lilja, BM Bellander, P Fransson NeuroImage: Clinical 12, 1004-1012, 2016 | 55 | 2016 |
Placebo Response and Media Attention in Randomized Clinical Trials Assessing Cannabis-Based Therapies for Pain: A Systematic Review and Meta-analysis F Gedin, S Blomé, M Pontén, M Lalouni, J Fust, A Raquette, VV Lundquist, ... JAMA Network Open 5 (11), e2243848-e2243848, 2022 | 52 | 2022 |
A jackknife approach to quantifying single-trial correlation between covariance-based metrics undefined on a single-trial basis CG Richter, WH Thompson, CA Bosman, P Fries NeuroImage 114, 57-70, 2015 | 48 | 2015 |
The mean–variance relationship reveals two possible strategies for dynamic brain connectivity analysis in fMRI WH Thompson, P Fransson Frontiers in human neuroscience 9, 398, 2015 | 47 | 2015 |
TemplateFlow: FAIR-sharing of multi-scale, multi-species brain models R Ciric, WH Thompson, R Lorenz, M Goncalves, EE MacNicol, ... Nature Methods, 1-4, 2022 | 46* | 2022 |
Brain network segregation and integration during an epoch-related working memory fMRI experiment P Fransson, BC Schiffler, WH Thompson NeuroImage 178, 147-161, 2018 | 44 | 2018 |
On stabilizing the variance of dynamic functional brain connectivity time series WH Thompson, P Fransson Brain connectivity 6 (10), 735-746, 2016 | 41 | 2016 |
Simulations to benchmark time-varying connectivity methods for fMRI WH Thompson, CG Richter, P Plavén-Sigray, P Fransson PLOS Computational Biology 14 (5), e1006196, 2018 | 37* | 2018 |
Bursty properties revealed in large-scale brain networks with a point-based method for dynamic functional connectivity WH Thompson, P Fransson Scientific Reports 6 (1), 39156, 2016 | 26 | 2016 |
A data resource from concurrent intracranial stimulation and functional MRI of the human brain WH Thompson, R Nair, H Oya, O Esteban, JM Shine, CI Petkov, ... Scientific data 7 (1), 258, 2020 | 24* | 2020 |
Open Exploration WH Thompson, J Wright, PG Bissett eLife 9, e52157, 2020 | 24 | 2020 |
A common framework for the problem of deriving estimates of dynamic functional brain connectivity WH Thompson, P Fransson Neuroimage 172, 896-902, 2018 | 23 | 2018 |
Temporal flow of hubs and connectivity in the human brain P Fransson, WH Thompson NeuroImage 223, 117348, 2020 | 17 | 2020 |