Brain-computer interface: Proposal of a shaping-based training. Psychology technique in BCI system

Silva-Sauer, Leandro da; Aguayo, Luís Valero; Velasco-Álvarez, Francisco; Ron-Angevín, Ricardo; Sancha-Ros, Salvador

doi:10.4322/rbeb.2013.015

Cited by 2 publications

(7 citation statements)

References 20 publications

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“…Corroborating with the previous study (da Silva-Sauer et al, 2013), in both experiments we conducted the RS task was significantly more difficult to perform than the MI task. There are several hypotheses for this phenomenon.…”

Section: Discussionsupporting

confidence: 78%

“…Thus in the present study are presented two experiments to test whether this learning paradigm based on shaping learning in each cognitive task helps to improve the performance in an SMR-based BCI compared to the standard procedure used in previous studies (da Silva-Sauer et al, 2013; Ron-Angevin & Díaz-Estrella, 2009; Ron-Angevin et al, 2017; Velasco-Álvarez et al, 2013). In the first experiment, a comparative study of two procedures, standard vs. shaping paradigm.…”

mentioning

confidence: 94%

“…Since the ability to modulate the SMR can be trained, it would be of interest to test this technique on a psychological basis, which reduces learning time and increases the final performance of the user. In this way, our proposal is based on the application of the Shaping described above, already used by da Silva-Sauer, Valero-Aguayo, Velasco-Álvarez, Ron-Angevin, and Sancha-Ros (2013) as training paradigm in SMR-based BCIs.…”

mentioning

confidence: 99%

“…The basic idea of this procedure is to reinforce the user through a positively biased feedback that increases its hits and decreases its failures and withdraws this support according to your improved performance. In da Silva-Sauer et al (2013) they applied the same assistance for both tasks (MI and relax state); however, it was concluded that it would have been more appropriate to offer it independently for each cognitive task since they presented different levels of difficulty. Once this modification was made, the feedback offered to the user would be adapted to their current level of performance in each cognitive task, as proposed in Barbero and Grosse-Wentrup (2010) and da Silva-Sauer et al (2013), so that users with low performance were not frustrated and those with high performance don’t lose their motivation and stop striving.…”

mentioning

confidence: 99%

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A Shaping Procedure to Modulate Two Cognitive Tasks to Improve a Sensorimotor Rhythm-Based Brain-Computer Interface System

et al. 2018

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This study aimed to propose an adapted feedback using a psychological learning technique based on Skinner’s shaping method to help the users to modulate two cognitive tasks (right-hand motor imagination and relaxed state) and improve better control in a Brain-Computer Interface. In the first experiment, a comparative study between performance in standard feedback (N = 9) and shaping method (N = 10) was conducted. The NASA Task Load Index questionnaire was applied to measure the user’s workload. In the second experiment, a single case study was performed (N = 5) to verify the continuous learning by the shaping method. The first experiment showed significant interaction effect between sessions and group (F(1, 17) = 5.565; p = .031) which the shaping paradigm was applied. A second interaction effect demonstrates a higher performance increase in the relax state task with shaping procedure (F(1, 17) = 5. 038; p = .038). In NASA-TXL an interaction effect was obtained between the group and the cognitive task in Mental Demand (F(1, 17) = 6, 809; p = .018), Performance (F(1, 17) = 5, 725; p = .029), and Frustration (F(1, 17) = 9, 735; p = .006), no significance was found in Effort. In the second experiment, a trial-by-trial analysis shows an ascendant trend learning curve for the cognitive task with the lowest initial acquisition (relax state). The results suggest the effectiveness of the shaping procedure to modulate brain rhythms, improving mainly the cognitive task with greater initial difficulty and provide better interaction perception.

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Section: Discussionsupporting

confidence: 78%

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confidence: 94%

mentioning

confidence: 99%

mentioning

confidence: 99%

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A Shaping Procedure to Modulate Two Cognitive Tasks to Improve a Sensorimotor Rhythm-Based Brain-Computer Interface System

et al. 2018

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“…Likewise, feedback is paramount for encouraging neuronal reorganization toward cognitive and motor rehabilitation. To promote neuronal modulation, studies point to how useful it is to provide more tailored feedback in the search for better human-machine interactions and task performance shaping (Barbero & Grosse-Wentrup, 2010; da Silva-Sauer, Valero-Aguayo, Velasco-Álvarez, Ron-Angevín, & Sancha-Ros, 2013). In da Silva-Sauer et al (2013), a sophisticated shaping technique was used.…”

Section: User’s Psychological Processesmentioning

confidence: 99%

New perspectives for cognitive rehabilitation: Could brain-computer interface systems benefit people with dementia?

Silva-Sauer¹,

Torre‐Luque²,

Silva³

et al. 2019

Psychology & Neuroscience

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This study aimed to discuss the usefulness of Brain-Computer Interface (BCI) systems as part of assistive technology strategies for cognitive rehabilitation and neuroplasticity promotion in people with dementia. A critical review was conducted. First, the essential principles of BCI systems were described. Electroencephalography-based systems, such as those based on either sensorial motor rhythms (SMRs) or event-related potentials (ERPs), are the focus of this review. Thus, some factors were identified to contribute to better understanding the foundations of brain-computer interaction within these systems. Moreover, we gathered and reviewed scientific evidence on the potential benefits of BCI-based rehabilitation strategies in people with dementia (e.g., Alzheimer’s disease). Existing evidence points to a relationship between SMR features and ERP signals with dementia diagnosis and its progression. In addition, BCI systems with contingent-reward neurofeedback were proven to generate significant modulations in some brain wave features promoting changes in cortical organization and connectivity. BCI devices constitute a promising tool for cognitive rehabilitation, leading to substantial benefits for patients across domains (e.g., attention, short-term memory [STM], or visuospatial orientation). Results from this review should promote the development of a noninvasive BCI system using a real-time neurofeedback to slow cognitive decline in people with dementia. However, further research with a robust methodology is needed to clarify the mechanisms underlying brain modulation facilitated by BCI systems, so as to develop BCI-based rehabilitation protocols for people with dementia.

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Brain-computer interface: Proposal of a shaping-based training. Psychology technique in BCI system

Cited by 2 publications

References 20 publications

A Shaping Procedure to Modulate Two Cognitive Tasks to Improve a Sensorimotor Rhythm-Based Brain-Computer Interface System

A Shaping Procedure to Modulate Two Cognitive Tasks to Improve a Sensorimotor Rhythm-Based Brain-Computer Interface System

New perspectives for cognitive rehabilitation: Could brain-computer interface systems benefit people with dementia?

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