Results 21 to 30 of about 5,286,923 (301)

The Influence of Different EEG References on Scalp EEG Functional Network Analysis During Hand Movement Tasks

open access: yesFrontiers in Human Neuroscience, 2020
Although scalp EEG functional networks have been applied to the study of motor tasks using electroencephalography (EEG), the selection of a suitable reference electrode has not been sufficiently researched.
Lipeng Zhang   +13 more
doaj   +1 more source

Adaptive personalisation for researcher-independent brain body interface usage [PDF]

open access: yes, 2009
In this case study, we report what we believe to be the first prolonged in-situ use of a brain-body interface for rehabilitation of individuals with severe neurological impairment due to traumatic brain injury with no development researchers present.
Gnanayutham, Paul   +4 more
core   +1 more source

Conditional associative learning examined in a paralyzed patient with amyotrophic lateral sclerosis using brain-computer interface technology [PDF]

open access: yes, 2008
Background Brain-computer interface methodology based on self-regulation of slow-cortical potentials (SCPs) of the EEG (electroencephalogram) was used to assess conditional associative learning in one severely paralyzed, late-stage ALS patient.
Ghanayim, Nimr   +18 more
core   +1 more source

Differences in Intersubject Early Readiness Potentials Between Voluntary and Instructed Actions

open access: yesFrontiers in Psychology, 2020
Readiness potential (RP) is a slow negative electroencephalogram (EEG) potential prior to voluntary action and was first described by Kornhuber and Deecke (1965).
Lipeng Zhang   +11 more
doaj   +1 more source

A Brain-Computer Interface based on Colour Dependent Visual Attention [PDF]

open access: yes, 2022
In this thesis we designed a specific visual protocol for a new application in the brain-computer interface field.
Bon, Alvise
core  

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

open access: yesFEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source

Combining brain-computer interfaces and assistive technologies: state-of-the-art and challenges [PDF]

open access: yes, 2010
In recent years, new research has brought the field of EEG-based Brain-Computer Interfacing (BCI) out of its infancy and into a phase of relative maturity through many demonstrated prototypes such as brain-controlled wheelchairs, keyboards, and computer ...
R. Rupp   +58 more
core   +2 more sources

An empirical comparison of deep learning explainability approaches for EEG using simulated ground truth

open access: yesScientific Reports, 2023
Recent advancements in machine learning and deep learning (DL) based neural decoders have significantly improved decoding capabilities using scalp electroencephalography (EEG). However, the interpretability of DL models remains an under-explored area. In
Akshay Sujatha Ravindran   +1 more
doaj   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

open access: yesFEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta   +3 more
wiley   +1 more source

Translophagy—A potential link between autophagy impairment and translational errors

open access: yesFEBS Letters, EarlyView.
Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk   +11 more
wiley   +1 more source

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