Publications related to The effect of multimodal and enriched feedback on SMR-BCI performance

Related publications (21)

Effect of Extrinsic Reward on Motor Plasticity during Skill Learning

Friedhelm Christoph Hummel, Pierre Theopistos Vassiliadis

Human motor skill acquisition is improved by performance feedback, and coupling such feedback with extrinsic reward (such as money) can enhance skill learning. However, the neurophysiology underlying such behavioral effect is unclear. To bridge this gap, w ...

2025

EEG-Based Online Regulation of Difficulty in Simulated Flying

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Ping-Keng Jao

Adaptively increasing the difficulty level in learning was shown to be beneficial than increasing the level after some fixed time intervals. To efficiently adapt the level, we aimed at decoding the subjective difficulty level based on Electroencephalograph ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Noninvasive deep brain stimulation to modulate human behavior by means of transcranial temporal interference electrical stimulation

Elena Beanato

All functions we use in our everyday life depend on a complex interplay between both cortical and subcortical brain areas, communicating in between each others. When a region is affected by either an accident, aging or neurodegenerative diseases, the whole ...

EPFL2023

Early decoding of walking tasks with minimal set of EMG channels

Silvestro Micera

Objective. Powered lower-limb prostheses relying on decoding motor intentions from non-invasive sensors, like electromyographic (EMG) signals, can significantly improve the quality of life of amputee subjects. However, the optimal combination of high decod ...

IOP Publishing Ltd2023

Real-time and Recursive Estimators for Functional MRI Quality Assessment

Dimitri Nestor Alice Van De Ville, Nicolas Gninenko

Real-time quality assessment (rtQA) of functional magnetic resonance imaging (fMRI) based on blood oxygen level-dependent (BOLD) signal changes is critical for neuroimaging research and clinical applications. The losses of BOLD sensitivity because of diffe ...

HUMANA PRESS INC2022

Computational approaches to decode grasping force and velocity level in upper-limb amputee from intraneural peripheral signals

Silvestro Micera, Ivo Strauss, Giacomo Valle

Objective. Recent results have shown the potentials of neural interfaces to provide sensory feedback to subjects with limb amputation increasing prosthesis usability. However, their advantages for decoding motor control signals over current methods based o ...

IOP Publishing Ltd2021

Functional Segregation within the Dorsal Frontoparietal Network: A Multimodal Dynamic Causal Modeling Study

Estelle Emeline Raffin, Adrien Jean-Baptiste Witon

Discrimination and integration of motion direction requires the interplay of multiple brain areas. Theoretical accounts of perception suggest that stimulus-related (i.e., exogenous) and decision-related (i.e., endogenous) factors affect distributed neurona ...

OXFORD UNIV PRESS INC2021

Phase synchronization for classification of spontaneous EEG signals in brain-computer interfaces

Elly Gysels

By directly analyzing brain activity, Brain-Computer Interfaces (BCIs) allow for communication that does not rely on any muscular control and therefore constitute a possible communication channel for the completely paralyzed. Typically, the user performs d ...

EPFL2005

Connectome spectral analysis to track EEG task dynamics on a subsecond scale

Patric Hagmann, David Pascucci, Gijs Plomp, Michaël Defferrard

We present an approach for tracking fast spatiotemporal cortical dynamics in which we combine white matter connectivity data with source-projected electroencephalographic (EEG) data. We employ the mathematical framework of graph signal processing in order ...

2020

Cortical plasticity after hand prostheses use: Is the hypothesis of deafferented cortex "invasion" always true?

Silvestro Micera, Ivo Strauss, Stanisa Raspopovic, Giacomo Valle, Francesco Maria Petrini, Pablo Garcia del Valle, Edoardo D'Anna

Objective: To study motor cortex plasticity after a period of training with a new prototype of bidirectional hand prosthesis in three left trans-radial amputees, correlating these changes with the modification of Phantom Limb Pain (PLP) in the same period. ...

ELSEVIER IRELAND LTD2020

Alpha/beta power decreases track the fidelity of stimulus-specific information

João Pedro Forjaco Jorge

Massed synchronised neuronal firing is detrimental to information processing. When networks of task-irrelevant neurons fire in unison, they mask the signal generated by task-critical neurons. On a macroscopic level, such synchronisation can contribute to a ...

2019

Neurofeedback training with a low-priced EEG device leads to faster alpha enhancement but shows no effect on cognitive performance: A single-blind, sham-feedback study

Andreas Sonderegger, João Pedro de Matos Rodrigues

Introduction Findings of recent studies indicate that it is possible to enhance cognitive capacities of healthy individuals by means of individual upper alpha neurofeedback training (NFT). Although these results are promising, most of this research was con ...

2019

Sensory threshold neuromuscular electrical stimulation fosters motor imagery performance

José del Rocio Millán Ruiz, Serafeim Perdikis, Inaki Asier Iturrate Gil, Michael Eric Anthony Pereira, Tiffany Corbet

Motor imagery (MI) has been largely studied as a way to enhance motor learning and to restore motor functions. Although it is agreed that users should emphasize kinesthetic imagery during MI, recordings of MI brain patterns are not sufficiently reliable fo ...

2018

Inverse solutions for brain-computer interfaces: Effects of regularisation on localisation and classification

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Mohit Kumar Goel

Estimation of intracranial sources, using inverse solutions methods, has been proposed as a mean to improve performance in non-invasive brain-computer interfaces. These methods estimate the activity of a large number of neural sources from a smaller number ...

2017

Modeling Immersive Media Experiences by Sensing Impact on Subjects

Touradj Ebrahimi, Philippe Hanhart, Jong Seok Lee, Martin Rerabek, Eleni Kroupi

As immersive technologies target to provide higher quality of multimedia experiences, it is important to understand the quality of experience (QoE) perceived by users from various multimedia rendering schemes, in order to design and optimize human-centric ...

Springer Verlag2016

Motor and cognitive brain circuits of brain-machine interactions

Silvia Marchesotti

Brain-machine interfaces (BMIs) allow the user to control an external device such as a robotic arm, a cursor, or an avatar in a virtual world through the real-time decoding of brain signals and without the involvement of the musculoskeletal system. Althoug ...

EPFL2016

Neurotechnology for Brain Repair : Imaging, Enhancing and Restoring Human Motor Function

Andrea Biasiucci

Neurotechnology is the application of scientific knowledge to the practical purpose of understanding, interacting and/or repairing the brain or, in a broader sense, the nervous system. The development of novel approaches to decode functional information fr ...

EPFL2014

Exploiting Recognition of Natural Visual Stimuli for Brain Computer Interfacing

Marija Uscumlic

Visual search is a good illustration about how the brain coordinates a variety of functions such as visual clues extraction from the scene, coordination of the eye-movements, accumu- lation of visual information and visual recognition. It has an important ...

EPFL2013

Dynamic reconfiguration of human brain functional networks through neurofeedback

Dimitri Nestor Alice Van De Ville, Frank Scharnowski, Rotem Roza Kopel

Recent fMRI studies demonstrated that functional connectivity is altered following cognitive tasks (e.g., learning) or due to various neurological disorders. We tested whether real-time fMRI-based neurofeedback can be a tool to voluntarily reconfigure brai ...

Elsevier2013

Brain-Computer Interface in Multimedia Systems

Ashkan Yazdani

A brain-computer interface (BCI) is a system that allows a user to communicate with the environment only through cerebral activity, without using muscular output channels. To establish a direct link between the brain and a computer, the electroencephalogra ...

EPFL2012