4.5 Article

Beyond passive observation: feedback anticipation and observation activate the mirror system in virtual finger movement control via P300-BCI

Related references

Note: Only part of the references are listed.
Article Psychology, Experimental

Predictive motor activation: Modulated by expectancy or predictability?

Tommaso Ghilardi et al.

Summary: This study investigates how the motor system predicts upcoming actions. The results show that mu oscillations reflect anticipatory activity, while beta oscillations are related to the expectancy of the most likely action.

COGNITION (2023)

Article Engineering, Biomedical

High accuracy decoding of motor imagery directions from EEG-based brain computer interface using filter bank spatially regularised common spatial pattern method

P. Rithwik et al.

Summary: This study focuses on decoding left vs. right directional information from Motor Imagery (MI) of the dominant hand movement using EEG-based BCI. The proposed method utilizes common spatial pattern (CSP) and its variants as features, enhancing direction discriminability with regularization techniques. Results show that the filter bank-based spatially regularized CSP method (FBSRCSP) offers the highest average classification accuracy of 90% for decoding bidirectional motor imagery of hand movement, a substantial improvement compared to previous methods.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2022)

Article Neurosciences

A tutorial on generalized eigendecomposition for denoising, contrast enhancement, and dimension reduction in multichannel electrophysiology

Michael X. Cohen

Summary: This paper presents a theoretical and practical introduction to Generalized Eigendecomposition (GED), which is used for dimension reduction and source separation in multichannel signal processing. GED is fast and easy to compute, performs well in simulated and real data, and is easily adaptable to a variety of specific research goals.

NEUROIMAGE (2022)

Article Neurosciences

Mu-desynchronization, N400 and corticospinal excitability during observation of natural and anatomically unnatural finger movements

Nikolay Syrov et al.

Summary: The study investigates the activation of mirror neurons during the observation of non-transitive movements and its effects on EEG rhythms, ERPs components, and corticospinal excitability. The results suggest that the naturalness of observed movements can modulate mirror neuron activity, and unnatural movements lead to increased amplitude of the N400 component. However, no changes in corticospinal excitability were found.

FRONTIERS IN HUMAN NEUROSCIENCE (2022)

Review Behavioral Sciences

Electrophysiological correlates of action monitoring in brain-damaged patients: A systematic review

Maria Pyasik et al.

Summary: Action monitoring plays a crucial role in executing actions and understanding the actions of others. This systematic review examines the neurophysiological correlates of action monitoring in patients with brain lesions. The findings reveal distinct patterns of impaired neurophysiological activity in monitoring one's own actions versus others' actions in this patient population. EEG recordings of this dissociation in the same patients could potentially serve as a useful index for motor recovery and rehabilitation protocols.

NEUROPSYCHOLOGIA (2022)

Article Computer Science, Information Systems

Modulating Frustration and Agency Using Fabricated Input for Motor Imagery BCIs in Stroke Rehabilitation

Bastian Hougaard et al.

Summary: Brain-computer interfaces (BCIs) can be used for stroke rehabilitation, but low performance can decrease control and frustrate users. Introducing fabricated input can improve control and reduce frustration, especially in game-based interactions and simple tasks.

IEEE ACCESS (2022)

Article Neurosciences

Data Augmentation: Using Channel-Level Recombination to Improve Classification Performance for Motor Imagery EEG

Yu Pei et al.

Summary: This study introduced a data augmentation method called brain-area-recombination (BAR) for motor imagery EEG signals, which showed superior performance compared to common methods in enhancing the classification ability of deep learning models. Experiment results demonstrated that the BAR method significantly improved the classification performance of the EEGnet classifier and outperformed traditional augmentation techniques such as noise-added and flipping. The application of BAR in augmentation also led to a substantial improvement in the performance of EEGnet compared to the CSP-SVM decoding algorithm.

FRONTIERS IN HUMAN NEUROSCIENCE (2021)

Review Neurosciences

Towards a mechanistic approach for the development of non-invasive brain-computer interfaces for motor rehabilitation

Natalie Mrachacz-Kersting et al.

Summary: BCIs designed for motor rehabilitation utilize brain signals to guide neuroplastic changes, with the potential to improve motor function in patients with central nervous system lesions. This review proposes a classification of current BCI paradigms based on plasticity induction methods and brain states targeted, aiming to provide a framework for future studies on plastic changes following BCI interventions.

JOURNAL OF PHYSIOLOGY-LONDON (2021)

Article Developmental Biology

Peak selection and latency jitter correction in developmental event-related potentials

Maggie W. Guy et al.

Summary: Researchers discussed the inconsistent approaches to identifying and quantifying component latency in developmental ERP work, advocating for a data-driven strategy to address this issue within individual participants' data. They highlighted the potential issue of ERP latency jitter, which could blur the average ERP and mislead the interpretation of neural mechanisms. Additionally, they introduced the ReSync MATLAB toolbox as a tool for correcting latency jitter and demonstrated its utility in infant and child datasets.

DEVELOPMENTAL PSYCHOBIOLOGY (2021)

Article Behavioral Sciences

Distinct modulation of mu and beta rhythm desynchronization during observation of embodied fake hand rotation

Satoshi Shibuya et al.

Summary: The study found that observing fake hand rotation induces distinct cortical processing in sensorimotor brain areas, with illusory ownership enhancing mu ERD and attenuating beta ERD. Meanwhile, the alpha rhythm ERD of the left occipital cluster was smaller in the synchronous condition compared to the asynchronous condition.

NEUROPSYCHOLOGIA (2021)

Article Neurosciences

Evaluation of a P300-Based Brain-Machine Interface for a Robotic Hand-Orthosis Control

Jonathan Delijorge et al.

FRONTIERS IN NEUROSCIENCE (2020)

Article Neurosciences

The infant motor system predicts actions based on visual statistical learning

Claire D. Monroy et al.

NEUROIMAGE (2019)

Article Biochemistry & Molecular Biology

Human motor cortical beta bursts relate to movement planning and response errors

Simon Little et al.

PLOS BIOLOGY (2019)

Article Computer Science, Information Systems

Brain Computer Interface-Based Action Observation Game Enhances Mu Suppression in Patients with Stroke

Hyoseon Choi et al.

ELECTRONICS (2019)

Article Psychology, Biological

Exploring the maximum duration of the contingent negative variation

Jonas Roehricht et al.

INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY (2018)

Article Psychology, Biological

Beyond the FRN: Broadening the time-course of EEG and ERP components implicated in reward processing

James E. Glazer et al.

INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY (2018)

Article Psychology, Biological

How to get statistically significant effects in any ERP experiment (and why you shouldn't)

Steven J. Luck et al.

PSYCHOPHYSIOLOGY (2017)

Article Rehabilitation

Improving motor imagery practice with synchronous action observation in stroke patients

Yao Sun et al.

TOPICS IN STROKE REHABILITATION (2016)

Article Mathematical & Computational Biology

Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial Patterns

Youngjoo Kim et al.

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2016)

Review Rehabilitation

Application of BCI systems in neurorehabilitation: a scoping review

Mahdi Bamdad et al.

DISABILITY AND REHABILITATION-ASSISTIVE TECHNOLOGY (2015)

Review Behavioral Sciences

Interpreting EEG alpha activity

O. M. Bazanova et al.

NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS (2014)

Review Behavioral Sciences

Brain systems underlying the affective and social monitoring of actions: An integrative review

Leonie Koban et al.

NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS (2014)

Article Neurosciences

MEG and EEG data analysis with MNE-Python

Alexandre Gramfort et al.

FRONTIERS IN NEUROSCIENCE (2013)

Article Multidisciplinary Sciences

An accumulator model for spontaneous neural activity prior to self-initiated movement

Aaron Schurger et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2012)

Article Neurosciences

Multi-class motor imagery EEG decoding for brain-computer interfaces

Deng Wang et al.

FRONTIERS IN NEUROSCIENCE (2012)

Article Clinical Neurology

Accuracy of a P300 Speller for People with Motor Impairments: a Comparison

Rupert Ortner et al.

CLINICAL EEG AND NEUROSCIENCE (2011)

Article Engineering, Biomedical

Optimizing the Channel Selection and Classification Accuracy in EEG-Based BCI

Mahnaz Arvaneh et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2011)

Article Engineering, Biomedical

Using brain-computer interfaces to induce neural plasticity and restore function

Moritz Grosse-Wentrup et al.

JOURNAL OF NEURAL ENGINEERING (2011)

Article Neurosciences

Neuronal Mechanisms and Attentional Modulation of Corticothalamic Alpha Oscillations

Anil Bollimunta et al.

JOURNAL OF NEUROSCIENCE (2011)

Review Psychology, Multidisciplinary

Post-error adjustments

Claudia Danielmeier et al.

FRONTIERS IN PSYCHOLOGY (2011)

Article Neurosciences

Motor activation during observation of unusual versus ordinary actions in infancy

Janny C. Stapel et al.

SOCIAL NEUROSCIENCE (2010)

Article Neurosciences

How many people are able to control a P300-based brain-computer interface (BCI)?

Christoph Guger et al.

NEUROSCIENCE LETTERS (2009)

Article Neurosciences

Evidence for fast, low-level motor resonance to action observation: An MEG study

Hein T. van Schie et al.

SOCIAL NEUROSCIENCE (2008)

Article Biochemical Research Methods

Nonparametric statistical testing of EEG- and MEG-data

Eric Maris et al.

JOURNAL OF NEUROSCIENCE METHODS (2007)

Article Multidisciplinary Sciences

Actor's and observer's primary motor cortices stabilize similarly after seen or heard motor actions

Gina Caetano et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2007)

Article Neurosciences

Brain-computer interfaces as new brain output pathways

Jonathan R. Wolpaw

JOURNAL OF PHYSIOLOGY-LONDON (2007)

Article Biochemistry & Molecular Biology

Seeing or doing?: Influence of visual and motor familiarity in action observation

Beatriz Calvo-Merino et al.

CURRENT BIOLOGY (2006)

Review Rehabilitation

The effects of mental practice in stroke rehabilitation: A systematic review

Susy M. Braun et al.

ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION (2006)

Article Clinical Neurology

Primary motor cortex activation during action observation revealed by wavelet analysis of the EEG

SD Muthukumaraswamy et al.

CLINICAL NEUROPHYSIOLOGY (2004)

Article Neurosciences

Motor activation prior to observation of a predicted movement

JM Kilner et al.

NATURE NEUROSCIENCE (2004)

Article Psychology, Clinical

Utilization behavior: Clinical manifestations and neurological mechanisms

SJ Archibald et al.

NEUROPSYCHOLOGY REVIEW (2001)