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Turning negative into positives! Exploiting ‘negative’ results in Brain–Machine Interface (BMI) research

Lotte, Fabien and Jeunet, Camille and Chavarriaga, Ricardo and Bougrain, Laurent and Thompson, Dave E and Scherer, Reinhold and Mowla, Md Rakibul and Kübler, Andrea and Grosse-Wentrup, Moritz and Dijkstra, Karen and Dayan, Natalie (2019) 'Turning negative into positives! Exploiting ‘negative’ results in Brain–Machine Interface (BMI) research.' Brain-Computer Interfaces, 6 (4). pp. 1-12. ISSN 2326-263X

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Results that do not confirm expectations are generally referred to as ‘negative’ results. While essential for scientific progress, they are too rarely reported in the literature – Brain–Machine Interface (BMI) research is no exception. This led us to organize a workshop on BMI negative results during the 2018 International BCI meeting. The outcomes of this workshop are reported herein. First, we demonstrate why (valid) negative results are useful, and even necessary for BMIs. These results can be used to confirm or disprove current BMI knowledge, or to refine current theories. Second, we provide concrete examples of such useful negative results, including the limits in BMI-control for complete locked-in users and predictors of motor imagery BMI performances. Finally, we suggest levers to promote the diffusion of (valid) BMI negative results, e.g. promoting hypothesis-driven research using valid statistical tools, organizing special issues dedicated to BMI negative results, or convincing institutions and editors that negative results are valuable.

Item Type: Article
Uncontrolled Keywords: Negative results, hypothesis, models, theory, publication, guidelines, BCI, BMI
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 06 Feb 2020 10:04
Last Modified: 15 Jan 2022 01:31

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