Results 21 to 30 of about 65,253 (267)

Long and Short Durations of Binaural Beats Differently Affect Relaxation: A Study of HRV and BRUMS

open access: yesIEEE Access, 2023
Objective: We aimed to identify parasympathetic and emotional alterations, as indicated by the heart rate variability (HRV) and Brunel mood scale (BRUMS), after long-term exposure to theta binaural beats (BB) for 10 minutes daily.
Mondnath Chockboondee   +3 more
doaj   +1 more source

An EEG-based attention recognition method: fusion of time domain, frequency domain, and non-linear dynamics features

open access: yesFrontiers in Neuroscience, 2023
IntroductionAttention is a complex cognitive function of human brain that plays a vital role in our daily lives. Electroencephalogram (EEG) is used to measure and analyze attention due to its high temporal resolution.
Di Chen   +9 more
doaj   +1 more source

Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking

open access: yesScientific Reports, 2017
Recent advances in non-invasive brain-computer interface (BCI) technologies have shown the feasibility of neural decoding for both users’ gait intent and continuous kinematics. However, the dynamics of cortical involvement in human upright walking with a
Trieu Phat Luu   +3 more
doaj   +1 more source

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

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

Magnetoelectric Nanoparticle-Based Wireless Brain-Computer Interface: Underlying Physics and Projected Technology Pathway. [PDF]

open access: yesAdv Sci (Weinh)
Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Zhang E   +14 more
europepmc   +2 more sources

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

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

Visual Tracking Brain-Computer Interface

open access: yesiScience, 2023
Brain-computer interfaces (BCIs) offer a way to interact with computers without relying on physical movements. Non-invasive electroencephalography (EEG)-based visual BCIs, known for efficient speed and calibration ease, face limitations in continuous tasks due to discrete stimulus design and decoding methods.
Changxing Huang   +5 more
openaire   +5 more sources

Home - About - Disclaimer - Privacy