Peter Fransson's research group - our research

Research in our group is focused on network-based modelling of brain activity.

The brain’s functional and structural network architecture and its relationship to cognition and CNS disease.

To a large extent, we use data acquired using functional Magnetic Resonance Imaging (fMRI), but also from Magnetoenephalography (MEG) and Electroencephalography (EEG). Network-based models are built, tested and validated to be able to follow dynamical events in the brain during rest as well as for cognitive tasks. We collaborate closely with other research groups to study neurological conditions from a network-based perspective. The overall aim of our research is to provide knowledge based on network-based models that significantly contribute to the diagnosis of diseases in the CNS as well as an increase in our understanding of how our brain can be viewed and studied as a highly complex, hierarchical and dynamical biological system.

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

  • Modelling of brain activity based on hierarchical and spatiotemporally flexible subnetworks.
  • Cognition and the dynamics of the brain’s network structure.
  • Network-based modelling of brain activity related to epilepsy.
  • Relationship between chronic pain and changes in the brain’s dynamical networks.
  • Extreme premature birth and its connection to changes in the brain’s functional networks

Research group leader

Peter Fransson

Research group leader
K8 Department of Clinical Neuroscience

Selected Publications

(For a complete publication list, see Google Scholar)

Brain network segregation and integration during painful thermal stimulation
Gránit Kastrati, William H Thompson, Björn Schiffler, Peter Fransson, Karin B Jensen
Cereb Cortex. 2022 Sep 4;32(18):4039-4049.

Multiple spatial scale mapping of time-resolved brain network reconfiguration during evoked pain in patients with rheumatoid arthritis
Silvia Fanton, Reem Altawil , Isabel Ellerbrock, Jon Lampa, Eva Kosek, Peter Fransson, William H Thompson
Front Neurosci. 2022 Aug 9;16:942136. 

Augmented pain inhibition and higher integration of pain modulatory brain networks in women with self-injury behavior
Maria Lalouni, Jens Fust , Johan Bjureberg, Gránit Kastrati, Robin Fondberg, Peter Fransson, Nitya Jayaram-Lindström, Eva Kosek, Clara Hellner, Karin B Jensen
Mol Psychiatry. 2022 Jun 13. 

Spatiotemporally flexible subnetworks reveal the quasi-cyclic nature of integration and segregation in the human brain
Marika Strindberg, Peter Fransson, Joana Cabral, Ulrika Ådén
Neuroimage. 2021 Oct 1;239:118287.

Whole-brain modelling of resting state fMRI differentiates ADHD subtypes and facilitates stratified neuro-stimulation therapy
Behzad Iravani, Artin Arshamian, Peter Fransson, Neda Kaboodvand
Neuroimage. 2021 May 1;231:117844.

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