Literature DB >> 33716680

Progress in Brain Computer Interface: Challenges and Opportunities.

Simanto Saha1,2, Khondaker A Mamun3, Khawza Ahmed2, Raqibul Mostafa2, Ganesh R Naik4, Sam Darvishi1, Ahsan H Khandoker5, Mathias Baumert1.   

Abstract

Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity and have potential applications in various fields such as rehabilitation, affective computing, robotics, gaming, and neuroscience. Significant research efforts on a global scale have delivered common platforms for technology standardization and help tackle highly complex and non-linear brain dynamics and related feature extraction and classification challenges. Time-variant psycho-neurophysiological fluctuations and their impact on brain signals impose another challenge for BCI researchers to transform the technology from laboratory experiments to plug-and-play daily life. This review summarizes state-of-the-art progress in the BCI field over the last decades and highlights critical challenges.
Copyright © 2021 Saha, Mamun, Ahmed, Mostafa, Naik, Darvishi, Khandoker and Baumert.

Entities:  

Keywords:  brain computer interface; cognitive rehabilitation; electrical/hemodynamic brain signals; hybrid/multimodal BCI; neuroimaging techniques; neurosensors

Year:  2021        PMID: 33716680      PMCID: PMC7947348          DOI: 10.3389/fnsys.2021.578875

Source DB:  PubMed          Journal:  Front Syst Neurosci        ISSN: 1662-5137


  208 in total

1.  Dry and noncontact EEG sensors for mobile brain-computer interfaces.

Authors:  Yu Mike Chi; Yu-Te Wang; Yijun Wang; Christoph Maier; Tzyy-Ping Jung; Gert Cauwenberghs
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2011-12-12       Impact factor: 3.802

2.  Predicting human resting-state functional connectivity from structural connectivity.

Authors:  C J Honey; O Sporns; L Cammoun; X Gigandet; J P Thiran; R Meuli; P Hagmann
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-02       Impact factor: 11.205

3.  Cortical and subcortical mechanisms of brain-machine interfaces.

Authors:  Silvia Marchesotti; Roberto Martuzzi; Aaron Schurger; Maria Laura Blefari; José R Del Millán; Hannes Bleuler; Olaf Blanke
Journal:  Hum Brain Mapp       Date:  2017-03-21       Impact factor: 5.038

Review 4.  Closed-loop brain training: the science of neurofeedback.

Authors:  Ranganatha Sitaram; Tomas Ros; Luke Stoeckel; Sven Haller; Frank Scharnowski; Jarrod Lewis-Peacock; Nikolaus Weiskopf; Maria Laura Blefari; Mohit Rana; Ethan Oblak; Niels Birbaumer; James Sulzer
Journal:  Nat Rev Neurosci       Date:  2016-12-22       Impact factor: 34.870

5.  Deep learning for hybrid EEG-fNIRS brain-computer interface: application to motor imagery classification.

Authors:  Antonio Maria Chiarelli; Pierpaolo Croce; Arcangelo Merla; Filippo Zappasodi
Journal:  J Neural Eng       Date:  2018-02-15       Impact factor: 5.379

Review 6.  Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review.

Authors:  Mamunur Rashid; Norizam Sulaiman; Anwar P P Abdul Majeed; Rabiu Muazu Musa; Ahmad Fakhri Ab Nasir; Bifta Sama Bari; Sabira Khatun
Journal:  Front Neurorobot       Date:  2020-06-03       Impact factor: 2.650

7.  Bridging the brain to the world: a perspective on neural interface systems.

Authors:  John P Donoghue
Journal:  Neuron       Date:  2008-11-06       Impact factor: 17.173

Review 8.  Tools for probing local circuits: high-density silicon probes combined with optogenetics.

Authors:  György Buzsáki; Eran Stark; Antal Berényi; Dion Khodagholy; Daryl R Kipke; Euisik Yoon; Kensall D Wise
Journal:  Neuron       Date:  2015-04-08       Impact factor: 17.173

9.  Adaptive Automation Triggered by EEG-Based Mental Workload Index: A Passive Brain-Computer Interface Application in Realistic Air Traffic Control Environment.

Authors:  Pietro Aricò; Gianluca Borghini; Gianluca Di Flumeri; Alfredo Colosimo; Stefano Bonelli; Alessia Golfetti; Simone Pozzi; Jean-Paul Imbert; Géraud Granger; Raïlane Benhacene; Fabio Babiloni
Journal:  Front Hum Neurosci       Date:  2016-10-26       Impact factor: 3.169

10.  Cerebral, subcortical, and cerebellar activation evoked by selective stimulation of muscle and cutaneous afferents: an fMRI study.

Authors:  Daniel L Wardman; Simon C Gandevia; James G Colebatch
Journal:  Physiol Rep       Date:  2014-04-09
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  11 in total

1.  Validation of a Novel Wearable Multistream Data Acquisition and Analysis System for Ergonomic Studies.

Authors:  Luca Ascari; Anna Marchenkova; Andrea Bellotti; Stefano Lai; Lucia Moro; Konstantin Koshmak; Alice Mantoan; Michele Barsotti; Raffaello Brondi; Giovanni Avveduto; Davide Sechi; Alberto Compagno; Pietro Avanzini; Jonas Ambeck-Madsen; Giovanni Vecchiato
Journal:  Sensors (Basel)       Date:  2021-12-07       Impact factor: 3.576

2.  Influence of Implantation Depth on the Performance of Intracortical Probe Recording Sites.

Authors:  Joshua O Usoro; Komal Dogra; Justin R Abbott; Rahul Radhakrishna; Stuart F Cogan; Joseph J Pancrazio; Sourav S Patnaik
Journal:  Micromachines (Basel)       Date:  2021-09-27       Impact factor: 3.523

3.  Novel Hybrid Brain-Computer Interface for Virtual Reality Applications Using Steady-State Visual-Evoked Potential-Based Brain-Computer Interface and Electrooculogram-Based Eye Tracking for Increased Information Transfer Rate.

Authors:  Jisoo Ha; Seonghun Park; Chang-Hwan Im
Journal:  Front Neuroinform       Date:  2022-02-24       Impact factor: 4.081

4.  Identifying potential training factors in a vibrotactile P300-BCI.

Authors:  M Eidel; A Kübler
Journal:  Sci Rep       Date:  2022-08-17       Impact factor: 4.996

5.  Frontal alpha asymmetry interaction with an experimental story EEG brain-computer interface.

Authors:  Claudia Krogmeier; Brandon S Coventry; Christos Mousas
Journal:  Front Hum Neurosci       Date:  2022-08-12       Impact factor: 3.473

6.  EEG-EMG coupling as a hybrid method for steering detection in car driving settings.

Authors:  Giovanni Vecchiato; Maria Del Vecchio; Jonas Ambeck-Madsen; Luca Ascari; Pietro Avanzini
Journal:  Cogn Neurodyn       Date:  2022-01-11       Impact factor: 3.473

7.  A comparison of uni- and multi-variate methods for identifying brain networks activated by cognitive tasks using intracranial EEG.

Authors:  Cristian Donos; Bogdan Blidarescu; Constantin Pistol; Irina Oane; Ioana Mindruta; Andrei Barborica
Journal:  Front Neurosci       Date:  2022-09-26       Impact factor: 5.152

8.  Identification of Brain Electrical Activity Related to Head Yaw Rotations.

Authors:  Enrico Zero; Chiara Bersani; Roberto Sacile
Journal:  Sensors (Basel)       Date:  2021-05-11       Impact factor: 3.576

Review 9.  Brain-Computer Interfaces Systems for Upper and Lower Limb Rehabilitation: A Systematic Review.

Authors:  Daniela Camargo-Vargas; Mauro Callejas-Cuervo; Stefano Mazzoleni
Journal:  Sensors (Basel)       Date:  2021-06-24       Impact factor: 3.576

10.  Affective Brain-Computer Music Interfaces-Drivers and Implications.

Authors:  Elisabeth Hildt
Journal:  Front Hum Neurosci       Date:  2021-06-29       Impact factor: 3.169

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