Monti, RP;
Lorenz, R;
Braga, RM;
Anagnostopoulos, C;
Leech, R;
Montana, G;
(2017)
Real-time estimation of dynamic functional connectivity networks.
Human Brain Mapping
, 38
(1)
pp. 202-220.
10.1002/hbm.23355.
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Abstract
Two novel and exciting avenues of neuroscientific research involve the study of task-driven dynamic reconfigurations of functional connectivity networks and the study of functional connectivity in real-time. While the former is a well-established field within neuroscience and has received considerable attention in recent years, the latter remains in its infancy. To date, the vast majority of real-time fMRI studies have focused on a single brain region at a time. This is due in part to the many challenges faced when estimating dynamic functional connectivity networks in real-time. In this work, we propose a novel methodology with which to accurately track changes in time-varying functional connectivity networks in real-time. The proposed method is shown to perform competitively when compared to state-of-the-art offline algorithms using both synthetic as well as real-time fMRI data. The proposed method is applied to motor task data from the Human Connectome Project as well as to data obtained from a visuospatial attention task. We demonstrate that the algorithm is able to accurately estimate task-related changes in network structure in real-time.
| Type: | Article |
|---|---|
| Title: | Real-time estimation of dynamic functional connectivity networks |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/hbm.23355 |
| Publisher version: | http://dx.doi.org/10.1002/hbm.23355 |
| Language: | English |
| Additional information: | © 2016 Wiley Periodicals, Inc. This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Functional connectivity; dynamic networks; real-time; streaming penalized optimization; neurofeedback |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Gatsby Computational Neurosci Unit |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1565754 |
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