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Nonlinear dynamic functional connectivity analysis via recurrence quantification and its application to brain computer-interfaces

Grant number: 19/09512-0
Support Opportunities:Scholarships abroad - Research
Effective date (Start): September 09, 2019
Effective date (End): September 08, 2020
Field of knowledge:Engineering - Biomedical Engineering
Principal Investigator:Diogo Coutinho Soriano
Grantee:Diogo Coutinho Soriano
Host Investigator: Slawomir J Nasuto
Host Institution: Centro de Engenharia, Modelagem e Ciências Sociais Aplicadas (CECS). Universidade Federal do ABC (UFABC). Ministério da Educação (Brasil). Santo André , SP, Brazil
Research place: University of Reading, England  
Associated research grant:13/07559-3 - BRAINN - The Brazilian Institute of Neuroscience and Neurotechnology, AP.CEPID


Both non-linear time-series and graph analysis have become powerful methods of investigating brain activity. In fact, both techniques have been successfully used in diagnosing the most important brain pathologies (e.g. epilepsy, Parkinson's, depression, Alzheimer's, etc.) or even in differentiating common mental tasks (e.g. logical operations, motor execution, states of sleep, etc.). Recently, several studies have shown that the dynamics of functional connectivity (FC) - commonly captured by the temporal evolution of similarities between brain regions' activities - defines an important marker of cognitive tasks or even pathological states, pointing to the need for merging these analytical paradigms. Bearing these aspects in mind, this research project aims to investigate the dynamics of the underlying functional connectivity from the perspective of Recurrence Quantification Analysis (RQA), an important paradigm of nonlinear dynamics theory. In particular, RQA stands out by characterizing the reappearance of states, providing access to invariant measures (correlation dimension, Kolmogorov-Sinai entropy), theoretical information measures (Rényi generalized entropies, mutual information, etc.) as well as to present sensitivity in detecting phase transitions and nonlinear relationships between coupled systems. From the practical standpoint, this project aims to use RQA in the characterization of FC dynamics for providing a new marker for movement intention underlying the motor imagery process, which may contribute for the design of more robust brain-computer interfaces. The project, which is part of the activities developed in the context of CEPID BRAINN (Brazilian Institute for Neuroscience and Neurotechnology) supported by FAPESP, also aims to establish a long-term cooperation between the proponent and the institution abroad, allowing the exchange of students, researchers and knowledge.

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Scientific publications (12)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
CARVALHO, SARAH NEGREIROS DE; VARGAS, GUILHERME VETTORAZZI; DA SILVA COSTA, THIAGO BULHOES; DE ARRUDA LEITE, HARLEI MIGUEL; CORADINE, LUIS; BOCCATO, LEVY; SORIANO, DIOGO COUTINHO; ATTUX, ROMIS. Space-time filter for SSVEP brain-computer interface based on the minimum variance distortionless response. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, v. 59, n. 5, p. 1133-1150, . (19/09512-0, 13/07559-3)
LUONGO, GIORGIO; SCHULER, STEFFEN; LUIK, ARMIN; ALMEIDA, TIAGO P.; SORIANO, DIOGO C.; DOSSEL, OLAF; LOEWE, AXEL. Non-Invasive Characterization of Atrial Flutter Mechanisms Using Recurrence Quantification Analysis on the ECG: A Computational Study. IEEE Transactions on Biomedical Engineering, v. 68, n. 3, p. 914-925, . (19/09512-0, 18/02251-4, 17/00319-8)
GODINHO, FABIO; FIM NETO, ARNALDO; BIANQUETI, BRUNO LEONARDO; DE LUCCAS, JULIA BALDI; VARJAO, EDUARDO; TERZIAN FILHO, PAULO ROBERTO; FIGUEIREDO, EBERVAL GADELHA; ALMEIDA, TIAGO PAGGI; YONEYAMA, TAKASHI; TAKAHATA, ANDRE KAZUO; et al. Spectral characteristics of subthalamic nucleus local field potentials in Parkinson's disease: Phenotype and movement matter. European Journal of Neuroscience, v. 53, n. 8, . (19/09512-0, 18/14285-0, 13/07559-3, 18/14283-8, 18/02251-4, 17/00319-8)
ALMEIDA, TIAGO P.; NOTHSTEIN, MARK; LI, XIN; MASE, MICHELA; RAVELLI, FLAVIA; SORIANO, DIOGO C.; BEZERRA, ARTHUR S.; SCHLINDWEIN, FERNANDO S.; YONEYAMA, TAKASHI; DOESSEL, OLAF; et al. Phase Singularities in a Cardiac Patch Model With a Non-conductive Fibrotic Area During Atrial Fibrillation. 2020 COMPUTING IN CARDIOLOGY, v. N/A, p. 4-pg., . (17/00319-8, 19/05192-1, 18/02251-4, 19/09512-0)
NETO, ARNALDO FIM; DE LUCCAS, JULIA BALDI; BIANQUETI, BRUNO LEONARDO; DA SILVA, LUIZ RICARDO; ALMEIDA, TIAGO PAGGI; TAKAHATA, ANDRE KAZUO; TEIXEIRA, MANOEL JACOBSEN; FIGUEIREDO, EBERVAL GADELHA; NASUTO, SLAWOMIR J.; GUIMARAES ROCHA, MARIA SHEILA; et al. Subthalamic low beta bursts differ in Parkinson's disease phenotypes. CLINICAL NEUROPHYSIOLOGY, v. 140, p. 14-pg., . (18/14285-0, 19/09512-0, 13/07559-3, 17/00319-8, 18/14283-8, 18/02251-4)
STEFANO FILHO, C. A.; COSTA, T. B. S.; URIBE, L. F.; RODRIGUES, P. G.; SORIANO, D. C.; ATTUX, R.; CASTELLANO, G.. On the (in)efficacy of motor imagery training without feedback and event-related desynchronizations considerations. BIOMEDICAL PHYSICS & ENGINEERING EXPRESS, v. 6, n. 3, . (16/22116-9, 17/10341-0, 19/09512-0, 13/07559-3)
BEZERRA, ARTHUR S.; YONEYAMA, TAKASHI; SORIANO, DIOGO C.; LUONGO, GIORGIO; LI, XIN; RAVELLI, FLAVIA; MASE, MICHELA; CHU, GAVIN S.; STAFFORD, PETER J.; SCHLINDWEIN, FERNANDO S.; et al. Optimizing Atrial Electrogram Classification Based on Local Ablation Outcome in Human Atrial Fibrillation. 2020 COMPUTING IN CARDIOLOGY, v. N/A, p. 4-pg., . (18/02251-4, 19/09512-0, 17/00319-8)
FIM NETO, A.; DE LUCCAS, J. B.; BIANQUETI, B. L.; ROCHA, M. S.; NASUTO, S. J.; GODINHO, F.; SORIANO, D. C.; BASTOS-FILHO, TF; CALDEIRA, EMD; FRIZERA-NETO, A. Subthalamic Beta Burst Dynamics Differs for Parkinson's Disease Phenotypes. XXVII BRAZILIAN CONGRESS ON BIOMEDICAL ENGINEERING, CBEB 2020, v. N/A, p. 6-pg., . (18/14285-0, 19/09512-0, 13/07559-3, 17/00319-8, 18/14283-8)
DE LUCCAS, J. B.; BIANQUETI, B. L.; FIM NETO, A.; ROCHA, M. S.; TAKAHATA, A. K.; SORIANO, D. C.; GODINHO, F.; BASTOS-FILHO, TF; CALDEIRA, EMD; FRIZERA-NETO, A. Subthalamic Field Potentials in Parkinson's Disease Encodes Motor Symptoms Severity and Asymmetry. XXVII BRAZILIAN CONGRESS ON BIOMEDICAL ENGINEERING, CBEB 2020, v. N/A, p. 7-pg., . (18/14285-0, 19/09512-0, 13/07559-3, 17/00319-8, 18/14283-8)
RODRIGUES, P. G.; FIM-NETO, A.; SATO, J. R.; SORIANO, D. C.; NASUTO, S. J.; BASTOS-FILHO, TF; CALDEIRA, EMD; FRIZERA-NETO, A. Single-Trial Functional Connectivity Dynamics of Event-Related Desynchronization for Motor Imagery EEG-Based Brain-Computer Interfaces. XXVII BRAZILIAN CONGRESS ON BIOMEDICAL ENGINEERING, CBEB 2020, v. N/A, p. 7-pg., . (19/09512-0, 13/07559-3)
RODRIGUES, PAULA G.; STEFANO FILHO, CARLOS A.; TAKAHATA, ANDRE K.; SUYAMA, RICARDO; ATTUX, ROMIS; CASTELLANO, GABRIELA; SATO, JOAO R.; NASUTO, SLAWOMIR J.; SORIANO, DIOGO C.; BENITO, RM; et al. Can Dynamic Functional Connectivity Be Used to Distinguish Between Resting-State and Motor Imagery in EEG-BCIs?. COMPLEX NETWORKS & THEIR APPLICATIONS X, VOL 2, v. 1016, p. 12-pg., . (19/09512-0, 18/21934-5, 13/07559-3)

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