Format

Send to

Choose Destination
Neurosci Lett. 2018 Sep 25;684:156-163. doi: 10.1016/j.neulet.2018.08.014. Epub 2018 Aug 13.

Athletes versus video game players: A predictive contextual processing study.

Author information

1
Department of Physical Education, University of A Coruña, La Coruña, Spain.
2
Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
3
Department of Physical Education, University of A Coruña, La Coruña, Spain. Electronic address: nfogelson@gmail.com.

Abstract

We investigated the effect of abstract and real life meaningful images from sports on predictive contextual processing in professional athletes and video gamers. EEG was recorded in three groups: professional basketball players (BP), professional athletes of individual sports (IA) and experienced action video game players (VG). Two recording sessions, each with a different set of visual stimuli was presented: either triangles facing left, up, right or down or four images of a basketball player throwing a ball. Recording blocks consisted of targets preceded by randomized sequences of standards and by sequences including a predictive sequence signaling the occurrence of a subsequent target event. The gradual increase of P3b amplitudes across the predictive sequence was greater in BP compared with VG, when stimuli consisted of real life images of a basketball player. For the basketball session, we observed increased local modularity and stronger functional connectivity within frontal attentional networks in BP and VG compared with IA, during the processing of the predictive sequence. Our findings suggest increased top-down attentional allocation, during the processing of predictive visual stimuli, in basketball players compared with video gamers and individual sports athletes.

KEYWORDS:

Context; EEG; Graph theory; P3b; Professional athletes; Video gamers

PMID:
30114474
DOI:
10.1016/j.neulet.2018.08.014
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center