Peter Fransson's research group

The focus of our research group is aimed at studying the neuronal network architecture that underlay human brain function (the human brain connectome).

Large-scale network connectivity in the human brain

We apply functional connectivity MRI, structural connectivity (diffusion-weighted) MRI as well as EEG/MEG methods to study the hierarchical network organization of the human brain at rest as well as during task performance. In particular, we perform research to understand the interaction between the ubiquitous spontaneous oscillations in the brain and its relation to variability in one's state of mind and task performance.

Together with collaborative partners at the Karolinska Hospital, we apply a network approach to study the effects of brain trauma as well as neurodevelopmental disorders on the human connectome. The developmental of cortical networks is a central theme in our research and we were the first group to show the functional large-scale cortical network architecture in the infant human brain.

Research Projects

  • Traumatic brain injury and intrinsic connectivity
  • Cortical development measured using rs-fmri and EEG
  • Behaviour and large-scale cortical connectivity
  • Neurodevelopmental disorders and the human connectome

Selected Publications

Temporal flow of hubs and connectivity in the human brain.
Fransson P, Thompson WH
Neuroimage 2020 12;223():117348

Dynamic synergetic configurations of resting-state networks in ADHD.
Kaboodvand N, Iravani B, Fransson P
Neuroimage 2020 02;207():116347

Adaptive frequency-based modeling of whole-brain oscillations: Predicting regional vulnerability and hazardousness rates.
Kaboodvand N, van den Heuvel MP, Fransson P
Netw Neurosci 2019 ;3(4):1094-1120

Simulations to benchmark time-varying connectivity methods for fMRI.
Thompson W, Richter C, Plavén-Sigray P, Fransson P
PLoS Comput. Biol. 2018 05;14(5):e1006196

Brain network segregation and integration during an epoch-related working memory fMRI experiment.
Fransson P, Schiffler B, Thompson W
Neuroimage 2018 09;178():147-161

A common framework for the problem of deriving estimates of dynamic functional brain connectivity.
Thompson W, Fransson P
Neuroimage 2018 05;172():896-902

Spatial confluence of psychological and anatomical network constructs in the human brain revealed by a mass meta-analysis of fMRI activation.
Thompson W, Fransson P
Sci Rep 2017 03;7():44259

Bursty properties revealed in large-scale brain networks with a point-based method for dynamic functional connectivity.
Thompson W, Fransson P
Sci Rep 2016 12;6():39156

On Stabilizing the Variance of Dynamic Functional Brain Connectivity Time Series.
Thompson W, Fransson P
Brain Connect 2016 12;6(10):735-746

Functional resting-state fMRI connectivity correlates with serum levels of the S100B protein in the acute phase of traumatic brain injury.
Thompson W, Thelin E, Lilja A, Bellander B, Fransson P
Neuroimage Clin 2016 ;12():1004-1012

The frequency dimension of fMRI dynamic connectivity: Network connectivity, functional hubs and integration in the resting brain.
Thompson W, Fransson P
Neuroimage 2015 Nov;121():227-42

Group members