Advances in user-training for mental-imagery-based BCI control: Psychological and cognitive factors and their neural correlates

1. Prog Brain Res. 2016;228:3-35. doi: 10.1016/bs.pbr.2016.04.002. Epub 2016 Jun
10.

Advances in user-training for mental-imagery-based BCI control: Psychological
and cognitive factors and their neural correlates.

Jeunet C(1), N’Kaoua B(2), Lotte F(3).

Author information:
(1)Laboratoire Handicap Activité Cognition Santé, University of Bordeaux,
Bordeaux, France; Project-Team Potioc/LaBRI, Inria Bordeaux Sud-Ouest, Bordeaux,
France. Electronic address: .
(2)Laboratoire Handicap Activité Cognition Santé, University of Bordeaux,
Bordeaux, France.
(3)Project-Team Potioc/LaBRI, Inria Bordeaux Sud-Ouest, Bordeaux, France.

While being very promising for a wide range of applications,
mental-imagery-based brain-computer interfaces (MI-BCIs) remain barely used
outside laboratories, notably due to the difficulties users encounter when
attempting to control them. Indeed, 10-30% of users are unable to control
MI-BCIs (so-called BCI illiteracy) while only a small proportion reach
acceptable control abilities. This huge interuser variability has led the
community to investigate potential predictors of performance related to users’
personality and cognitive profile. Based on a literature review, we propose a
classification of these MI-BCI performance predictors into three categories
representing high-level cognitive concepts: (1) users’ relationship with the
technology (including the notions of computer anxiety and sense of agency), (2)
attention, and (3) spatial abilities. We detail these concepts and their neural
correlates in order to better understand their relationship with MI-BCI
user-training. Consequently, we propose, by way of future prospects, some
guidelines to improve MI-BCI user-training.

© 2016 Elsevier B.V. All rights reserved.

DOI: 10.1016/bs.pbr.2016.04.002
PMID: 27590964 [Indexed for MEDLINE]

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