Emotional decoding and neuromodulation of the prefrontal cortex with NIRS-EEG

• Grant number: 15/17406-5
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: January 01, 2016
• End date: March 31, 2018
• Field of knowledge: Interdisciplinary Subjects
• Principal Investigator: João Ricardo Sato
• Grantee: Lucas Remoaldo Trambaiolli
• Host Institution: Centro de Matemática, Computação e Cognição (CMCC). Universidade Federal do ABC (UFABC). Ministério da Educação (Brasil). Santo André , SP, Brazil

Abstract

The clarification of the biological basis of emotions in humans is an important neuroscientific issue with potential implications for the diagnosis and treatment of various mental disorders. Recent advances in neuroimaging studies demonstrate the existence of an organization of neural structures consistently related to the invocation and maintenance of emotional states. Concurrently, the development of neurofeedback technology introduces an innovative field for treatments of different types of diseases that affect the brain and may be a non-invasive and non-pharmacological alternative for affective disorders, for example. Thus, this study has the main objective to investigate the decoding capability of emotional states and the prefrontal cortex neuromodulation through a voluntary evocation of emotions. To this end, the subjects held emotional evocation and neurofeedback sessions based on spectroscopy near infrared (the acronym "NIRS").Additionally to the ability to differentiate the emotional patterns by the classifiers and the performance of the subjects in neurofeedback task, we will investigate spatial characteristics related to the patterns of interest. It enables better understanding of the neural substrates of emotional processes and possible improvements in neurofeedback systems.

Scientific publications

(9)

(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)

TRAMBAIOLLI, LUCAS R.; BIAZOLI, JR., CLAUDINEI E.; BALARDIN, JOANA B.; HOEXTER, MARCELO Q.; SATO, JOAO R.. The relevance of feature selection methods to the classification of obsessive compulsive disorder based on volumetric measures. Journal of Affective Disorders, v. 222, p. 49-56, NOV 2017. (15/17406-5, 13/10498-6, 11/21357-9)

TRAMBAIOLLI, LUCAS R.; TOSSATO, JULIANA; CRAVO, ANDRE M.; BIAZOLI, JR., CLAUDINEI E.; SATO, JOAO R.. Subject-independent decoding of affective states using functional near-infrared spectroscopy. PLoS One, v. 16, n. 1, JAN 7 2021. (18/21934-5, 18/04654-9, 15/17406-5, 17/05225-1)

TRAMBAIOLLI, LUCAS R.; BIAZOLI, CLAUDINEI E.; CRAVO, ANDRE M.; FALK, TIAGO H.; SATO, JOAO R.. Functional near-infrared spectroscopy-based affective neurofeedback: feedback effect, illiteracy phenomena, and whole-connectivity profiles. NEUROPHOTONICS, v. 5, n. 3, JUL-SEP 2018. (15/17406-5)

TRAMBAIOLLI, LUCAS R.; BIAZOLI, JR., CLAUDINEI E.; CRAVO, ANDRE M.; SATO, JOAO R.. Predicting affective valence using cortical hemodynamic signals. SCIENTIFIC REPORTS, v. 8, MAR 29 2018. (15/17406-5)

BALARDIN, JOANA B.; ZIMEO MORAIS, GUILHERME A.; FURUCHO, ROGERIO A.; TRAMBAIOLLI, LUCAS; VANZELLA, PATRICIA; BIAZOLI, JR., CLAUDINEI; SATO, JOAO R.. Imaging Brain Function with Functional Near-Infrared Spectroscopy in Unconstrained Environments. FRONTIERS IN HUMAN NEUROSCIENCE, v. 11, MAY 17 2017. (15/17406-5)

BALARDIN, JOANA BISOL; MORAIS, GUILHERME AUGUSTO ZIMEO; FURUCHO, ROGEIO AKIRA; TRAMBAIOLLI, LUCAS ROMUALDO; SATO, JOAO RICARDO. Impact of communicative head movements on the quality of functional near-infrared spectroscopy signals: negligible effects for affirmative and negative gestures and consistent artifacts related to raising eyebrows. Journal of Biomedical Optics, v. 22, n. 4, APR 2017. (15/17406-5)

TRAMBAIOLLI, LUCAS R.; BIAZOLI, CLAUDINEI E.; CRAVO, ANDRE M.; SATO, JOAO R.; IEEE. Feedback congruence affects real and perceived performance of an affective neurofeedback task. 2021 10TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER), v. N/A, p. 3-pg., 2021-01-01. (15/17406-5)

TRAMBAIOLLI, LUCAS R. R.; CASSANI, RAYMUNDO; BIAZOLI JR, CLAUDINEI E. E.; CRAVO, ANDRE M.; SATO, JOAO R.; FALK, TIAGO H. H.. Multimodal resting-state connectivity predicts affective neurofeedback performance. FRONTIERS IN HUMAN NEUROSCIENCE, v. 16, p. 12-pg., 2022-09-08. (18/04654-9, 15/17406-5, 18/21934-5)

TRAMBAIOLLI, LUCAS R.; DEAN, PHILIP J. A.; CRAVO, ANDRE M.; STERR, ANNETTE; SATO, JOAO R.; IEEE. Current brain activity is a predictor of longitudinal motor imagery performance. 2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), v. N/A, p. 6-pg., 2020-01-01. (15/17406-5, 18/21934-5, 18/04654-9, 13/10952-9)