Back to Search Start Over

Functional equivalence of imagined vs. real performance of an inhibitory task: an EEG/ERP study

Authors :
Fidel Mauricio Bonilla
Santiago Galdo-Álvarez
Alberto J. González-Villar
María T. Carrillo-de-la-Peña
Universidade de Santiago de Compostela. Departamento de Psicoloxía Clínica e Psicobioloxía
Source :
Frontiers in Human Neuroscience, Vol 10 (2016), Minerva: Repositorio Institucional de la Universidad de Santiago de Compostela, Universidad de Santiago de Compostela (USC), Repositorio U. El Bosque, Universidad El Bosque, instacron:Universidad El Bosque, Frontiers in Human Neuroscience, Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela, instname
Publication Year :
2016
Publisher :
Frontiers Media S.A., 2016.

Abstract

Early neuroimaging and electrophysiological studies suggested that motor imagery recruited a different network than motor execution. However, several studies have provided evidence for the involvement of the same circuits in motor imagery tasks, in the absence of overt responses. The present study aimed to test whether imagined performance of a stop-signal task produces a similar pattern of motor-related EEG activity than that observed during real performance. To this end, mu and beta event-related desynchronization (ERD) and the Lateralized Readiness Potential (LRP) were analyzed. The study also aimed to clarify the functional significance of the Stop-N2 and Stop-P3 event-related potential (ERPs) components, which were also obtained during both real and imagined performance. The results showed a common pattern of brain electrical activity, and with a similar time course, during covert performance and overt execution of the stop-signal task: presence of LRP and Stop-P3 in the imagined condition and identical LRP onset, and similar mu and beta ERD temporal windows for both conditions. These findings suggest that a similar inhibitory network may be activated during both overt and covert execution of the task. Therefore, motor imagery may be useful to improve inhibitory skills and to develop new communicating systems for Brain-Computer Interface (BCI) devices based on inhibitory signals This research was funded by Spanish Ministerio de Economía y Competitividad (Reference PSI2013-43594-R). AJG-V was supported by a research grant from the Fundación Ramón Dominguez. The authors would like to thank Fermín Pintos for his support developing a script for extracting the behavioral data SI

Details

Language :
English
ISSN :
16625161
Volume :
10
Database :
OpenAIRE
Journal :
Frontiers in Human Neuroscience
Accession number :
edsair.doi.dedup.....32c13e8aa3e43a91772f3b44e447e3e9
Full Text :
https://doi.org/10.3389/fnhum.2016.00467/full