title: Advances in user-training for mental-imagery-based BCI control: Psychological and cognitive factors and their neural correlates.
abstract: 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.
authors: Laboratoire Handicap Activité Cognition Santé, University of Bordeaux, Bordeaux, France; Project-Team Potioc/LaBRI, Inria Bordeaux Sud-Ouest, Bordeaux, France. Electronic address: camille.jeunet@inria.fr.
authors: C
authors: C
authors: Jeunet
authors: Laboratoire Handicap Activité Cognition Santé, University of Bordeaux, Bordeaux, France.
authors: B
authors: B
authors: N'Kaoua
authors: Project-Team Potioc/LaBRI, Inria Bordeaux Sud-Ouest, Bordeaux, France.
authors: F
authors: F
authors: Lotte
mesh_terms: D001288:Attention / Q000502:physiology; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D062207:Brain-Computer Interfaces; D003071:Cognition / Q000502:physiology*; D004569:Electroencephalography; D006801:Humans; D019018:Imagery, Psychotherapy / Q000379:methods*; D010551:Personality; D065854:Spatial Navigation / Q000502:physiology
keywords: Attention; Brain–computer interfaces; Computer anxiety; Improving training protocols; Interuser variability; Neural correlates; Predictors of performance; Sense of agency; Spatial abilities; User-training