TY - JOUR
T1 - Measuring neuronal avalanches to inform brain-computer interfaces
AU - Corsi, Marie Constance
AU - Sorrentino, Pierpaolo
AU - Schwartz, Denis
AU - George, Nathalie
AU - Gollo, Leonardo L.
AU - Chevallier, Sylvain
AU - Hugueville, Laurent
AU - Kahn, Ari E.
AU - Dupont, Sophie
AU - Bassett, Danielle S.
AU - Jirsa, Viktor
AU - De Vico Fallani, Fabrizio
N1 - Funding Information:
The authors acknowledge support from European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement No. 864729); the program “Investissements d'avenir” ANR-10-IAIHU-06; European Union's Horizon 2020 research and innovation program under grant agreement No. 945539 (SGA3) Human Brain Project, VirtualBrainCloud No.826421. Conceptualization: M.C.C. and P.S. Methodology: M.C.C. and P.S. Investigation: M.C.C. and P.S. Visualization: M.C.C. and P.S. Supervision: F.D.V.F. and V.J. Data collection and curation: M.C.C. D.S. and L.H. Data processing: M.C.C. P.S. and A.E.K. Writing—original draft: M.C.C. and P.S. Writing—review and editing: M.C.C. P.S. D.S. N.G. L.G. S.C. L.H. A.E.K. S.D. D.S.B. V.J. and F.D.V.F. The authors declare no competing interests.
Funding Information:
The authors acknowledge support from European Research Council ( ERC ) under the European Union’s Horizon 2020 research and innovation program (grant agreement No. 864729); the program “Investissements d’avenir” ANR-10-IAIHU-06; European Union’s Horizon 2020 research and innovation program under grant agreement No. 945539 (SGA3) Human Brain Project, VirtualBrainCloud No.826421.
Publisher Copyright:
© 2023 The Author(s)
PY - 2024/1/19
Y1 - 2024/1/19
N2 - Large-scale interactions among multiple brain regions manifest as bursts of activations called neuronal avalanches, which reconfigure according to the task at hand and, hence, might constitute natural candidates to design brain-computer interfaces (BCIs). To test this hypothesis, we used source-reconstructed magneto/electroencephalography during resting state and a motor imagery task performed within a BCI protocol. To track the probability that an avalanche would spread across any two regions, we built an avalanche transition matrix (ATM) and demonstrated that the edges whose transition probabilities significantly differed between conditions hinged selectively on premotor regions in all subjects. Furthermore, we showed that the topology of the ATMs allows task-decoding above the current gold standard. Hence, our results suggest that neuronal avalanches might capture interpretable differences between tasks that can be used to inform brain-computer interfaces.
AB - Large-scale interactions among multiple brain regions manifest as bursts of activations called neuronal avalanches, which reconfigure according to the task at hand and, hence, might constitute natural candidates to design brain-computer interfaces (BCIs). To test this hypothesis, we used source-reconstructed magneto/electroencephalography during resting state and a motor imagery task performed within a BCI protocol. To track the probability that an avalanche would spread across any two regions, we built an avalanche transition matrix (ATM) and demonstrated that the edges whose transition probabilities significantly differed between conditions hinged selectively on premotor regions in all subjects. Furthermore, we showed that the topology of the ATMs allows task-decoding above the current gold standard. Hence, our results suggest that neuronal avalanches might capture interpretable differences between tasks that can be used to inform brain-computer interfaces.
KW - Computer science
KW - Neuroscience
UR - http://www.scopus.com/inward/record.url?scp=85180612947&partnerID=8YFLogxK
U2 - 10.1016/j.isci.2023.108734
DO - 10.1016/j.isci.2023.108734
M3 - Article
C2 - 38226174
AN - SCOPUS:85180612947
SN - 2589-0042
VL - 27
JO - iScience
JF - iScience
IS - 1
M1 - 108734
ER -