Positions & Education

2018-2020: Post Doc,
Poldrack Lab
Department of Psychology
Stanford University.
Supported by the Knut and Alicia Wallenberg foundation

2013-2017: PhD Cognitive Neuroscience,
Thesis title: Brain Networks in Time: Deriving and quantifying dynamic functional connectivity,
Department of clinical neuroscience,
Karolinska Institute, Sweden.

2013: Research Assistant,
Max Planck Institute, Frankfurt.

2012: Research Assistant,
Fries Lab,
Ernst Strüngmann Institute for Neuroscience in Cooperation with the Max Planck Society, Frankfurt.

2010-2012: MSc Brain and cognitive sciences (cum laude),
University of Amsterdam, the Netherlands.

2006-2010: BA Theoretical Philosophy,
Gothenburg University, Sweden.

Publications

Preprint/under review

Thompson WH, Wright J, Shine JM, Poldrack RA (preprint) The identification of temporal communities through trajectory clustering correlates with single-trial behavioural fluctuations in neuroimaging data. Full text

Daniel L, Daniel K, Danielle B, Richard B, Breakspear M, Shella K, Kucyi A, Liégeois R, Lindquist M, McIntosh A, Poldrack R, Shine J, Thompson W, Bielczyk N, Douw L, Kraft D, Miller R, Muthuraman M, Pasquini L, Razi Adeel, Vidaurre D, Xie H, Calhoun V (preprint) On the nature of resting fMRI and time-varying connectivity. Full text

2018

Fransson, P., Schiffler, B.C., & Thompson, W.H. (2018). Brain network segregation and integration during an epoch-related working memory fMRI experiment. NeuroImage. 178. 147-161. Full text

Thompson, W. H., Richter,C G., Plavén-Sigray, P & Fransson, P. (2018) Simulations to benchmark time-varying connectivity methods for fMRI. PLoS Computational Biology. 14(5). e1006196 Full text

Thompson, W. H., & Fransson, P. (2018) A common framework for the problem of deriving estimates of dynamic functional brain connectivity. NeuroImage. 172. 896-902.
Full test

2017

Plavén-Sigray, P., Matheson GJ, Schiffler BC, Thompson WH (2017): The readability of scientific texts is decreasing over time. eLife, 6:e27725.
Full text

Richter C. G.*, Thompson W. H.*, Bosman C. A., & Fries P. (2017) Top-down modulation of stimulus drive via beta-gamma cross-frequency interaction. Journal of Neuroscience, 37 (28), 6698-6711. (* = co-first authors).
Full text

Thompson W. H., Brantefors P., Fransson P. (2017): From static to temporal network theory – applications to functional brain connectivity. Network Neuroscience. 1 (2), 69-99.
Full text

Thompson W. H., Fransson P. (2017): Spatial confluence of psychological and anatomical network constructs in the human brain revealed by a mass meta-analysis of fMRI activation. Scientific Reports 7:44259.
Full text

2016

Thompson W. H., Fransson P. (2016a): Bursty properties revealed in large-scale brain networks with a point-based method for dynamic functional connectivity. Scientific Reports 6:39156.
Full text

Thompson, W. H., & Fransson, P. (2016b). On stabilizing the variance of dynamic functional brain connectivity time series. Brain Connectivity, 6 (10).
Full text

Thompson, W. H., Thelin, E. P., Lilja, A., Bellander, B.-M., & Fransson, P. (2016). Functional resting-state fMRI connectivity correlates with serum levels of the S100B protein in the acute phase of traumatic brain injury. NeuroImage: Clinical, 12. 1004-1012.
Full text

2015

Richter, C. G., Thompson, W. H., Bosman, C. A., & Fries, P. (2015). A jackknife approach to quantifying single-trial correlation between covariance-based metrics undefined on a single-trial basis. NeuroImage, 114 57–70.
Full text

Thompson, W. H., & Fransson, P. (2015). The mean–variance relationship reveals two possible strategies for dynamic brain connectivity analysis in fMRI. Frontiers in Human Neuroscience, 9, 1–7.
Full text

Thompson, W. H., & Fransson, P. (2015). The frequency dimension of fMRI dynamic connectivity: network connectivity, functional hubs and integration in the resting brain. NeuroImage, 121, 227–242.
Full text

Presentations

2018: Teneto: a python package for time-varying connectivity. HBM, Singapore. Poster. (Absent)

2017: The dynamic brain: a collection of different brain networks or a reconfiguring internal network system? Pscyhology Lunch Symposium, Karolinska. Talk.

2017: Machine learning with dynamic functional connectivity and temporal networks. Machine learning for functional brain imaging, Symposium and workshop. Talk.

2017: Teneto: a Python package for temporal networks. Brainhack Stockholm. Talk.

2015: Bursty and persistent properties of network connectivity in the human brain. Stockholm Brain Institute. Talk.

2015: Integration between brain networks occur in a bursty temporal pattern. FENS bridging neural mechanisms and cognition, Copenhagen. Poster.

2014: The emerging field of dynamic functional connectivity. Workshop in resting state connectivity. Karolinska Institute, Stockholm. Talk.

2014: Intrinsic connectivity during the early acute period of traumatic brain injury correlates with outcome. HBM, Hamburg. Poster.

2013: A mechanism of top-down modulation: Cross-frequency functional connectivity in attentive and preparatory states. Stockholm Brain Institute. Talk.

2012: Functional role of top-down beta activity during pre-stimulus period from V4 to V1. Max Planck Retreat, Ringberg. Talk