Network-based brain–computer interfaces: principles and applications
J Gonzalez-Astudillo, T Cattai… - Journal of neural …, 2021 - iopscience.iop.org
Brain–computer interfaces (BCIs) make possible to interact with the external environment by
decoding the mental intention of individuals. BCIs can therefore be used to address basic …
decoding the mental intention of individuals. BCIs can therefore be used to address basic …
Toward an adapted neurofeedback for post-stroke motor rehabilitation: state of the art and perspectives
S Le Franc, G Herrera Altamira, M Guillen… - Frontiers in Human …, 2022 - frontiersin.org
Stroke is a severe health issue, and motor recovery after stroke remains an important
challenge in the rehabilitation field. Neurofeedback (NFB), as part of a brain–computer …
challenge in the rehabilitation field. Neurofeedback (NFB), as part of a brain–computer …
Effects of motor imagery tasks on brain functional networks based on EEG Mu/Beta rhythm
H Yu, S Ba, Y Guo, L Guo, G Xu - Brain Sciences, 2022 - mdpi.com
Motor imagery (MI) refers to the mental rehearsal of movement in the absence of overt motor
action, which can activate or inhibit cortical excitability. EEG mu/beta oscillations recorded …
action, which can activate or inhibit cortical excitability. EEG mu/beta oscillations recorded …
Functional connectivity fingerprints of the frontal eye field and inferior frontal junction suggest spatial versus nonspatial processing in the prefrontal cortex
Neuroimaging evidence suggests that the frontal eye field (FEF) and inferior frontal junction
(IFJ) govern the encoding of spatial and nonspatial (such as feature‐or object‐based) …
(IFJ) govern the encoding of spatial and nonspatial (such as feature‐or object‐based) …
Measures of the coupling between fluctuating brain network organization and heartbeat dynamics
D Candia-Rivera, M Chavez… - Network Neuroscience, 2024 - direct.mit.edu
In recent years, there has been an increasing interest in studying brain–heart interactions.
Methodological advancements have been proposed to investigate how the brain and the …
Methodological advancements have been proposed to investigate how the brain and the …
Functional connectivity ensemble method to enhance BCI performance (FUCONE)
Objective: Relying on the idea that functional connectivity provides important insights on the
underlying dynamic of neuronal interactions, we propose a novel framework that combines …
underlying dynamic of neuronal interactions, we propose a novel framework that combines …
Motor impairment in stroke patients is associated with network properties during consecutive motor imagery
M Lee, YH Kim, SW Lee - IEEE Transactions on Biomedical …, 2022 - ieeexplore.ieee.org
Objective: Our study aimed to predict the Fugl-Meyer assessment (FMA) upper limb using
network properties during motor imagery using electroencephalography (EEG) signals …
network properties during motor imagery using electroencephalography (EEG) signals …
Intentional binding for noninvasive BCI control
Objective. Noninvasive brain–computer interfaces (BCIs) allow to interact with the external
environment by naturally bypassing the musculoskeletal system. Making BCIs efficient and …
environment by naturally bypassing the musculoskeletal system. Making BCIs efficient and …
Analysis of the relationship between motor imagery and age-related fatigue for cnn classification of the eeg data
Background The aging of the world population poses a major health challenge, and brain–
computer interface (BCI) technology has the potential to provide assistance and …
computer interface (BCI) technology has the potential to provide assistance and …
Introducing the modularity graph: an application to brain functional networks
In signal processing, exploring complex systems through network representations has
become an area of growing interest. This study introduces the modularity graph, a new …
become an area of growing interest. This study introduces the modularity graph, a new …