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

• Grant number: 19/09512-0
• Support type: Scholarships abroad - Research
• Effective date (Start): September 09, 2019
• Effective date (End): September 08, 2020
• Field of knowledge: Engineering - Biomedical Engineering
• Principal researcher: Diogo Coutinho Soriano
• Grantee: Diogo Coutinho Soriano
• Host: Slawomir J Nasuto
• Home 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

Abstract

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.

Scientific publications

(5)

(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)

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, MAY 2020. (17/10341-0, 16/22116-9, 13/07559-3, 19/09512-0)

DA SILVA COSTA, THIAGO BULHOES; SUAREZ URIBE, LUISA FERNANDA; DE CARVALHO, SARAH NEGREIROS; SORIANO, DIOGO COUTINHO; CASTELLANO, GABRIELA; SUYAMA, RICARDO; ATTUX, ROMIS; PANAZIO, CRISTIANO. Channel capacity in brain-computer interfaces. JOURNAL OF NEURAL ENGINEERING, v. 17, n. 1, FEB 2020. (13/07559-3, 19/09512-0)

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, MAY 2021. (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, MAR 2021. (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, FEB 2021. (19/09512-0, 18/14285-0, 13/07559-3, 18/14283-8, 18/02251-4, 17/00319-8)