Results 81 to 90 of about 25,035 (182)

Lesions Associated With Autism Symptoms Map to a Cerebellar Brain Network in Tuberous Sclerosis Complex

open access: yesAnnals of the Child Neurology Society, Volume 4, Issue 1, Page 64-73, March 2026.
ABSTRACT Objective Autism spectrum disorder (ASD) affects 1 in 36 individuals in the United States and is characterized by impaired social communication and restrictive/repetitive behaviors. Individuals with tuberous sclerosis complex (TSC) have a high incidence of ASD (40%) and exhibit congenital brain lesions (tubers), offering a unique lesion‐based ...
Wendy Xiao Herman   +10 more
wiley   +1 more source

Exploring the Use of Neurofeedback by Cancer Survivors: Results of Interviews with Neurofeedback Providers and Clients

open access: yesAsia-Pacific Journal of Oncology Nursing, 2019
Objective: Cancer survivors may experience persistent physical and psychological symptoms following completion of cancer treatment. Neurofeedback is a noninvasive form of brain training reported to help with symptoms including pain, fatigue, depression ...
Marian F Luctkar-Flude   +2 more
doaj   +1 more source

BrainKilter: A Real-Time EEG Analysis Platform for Neurofeedback Design and Training

open access: yesIEEE Access, 2020
Neurofeedback targets self-regularized brain activity to normalized brain function based on brain-computer interface (BCI) technology. Although BCI software or platforms have continued to mature in other fields, little effort has been expended on ...
Guangying Pei   +8 more
doaj   +1 more source

Integrating EEG and MEG signals to improve motor imagery classification in brain-computer interfaces

open access: yes, 2018
We propose a fusion approach that combines features from simultaneously recorded electroencephalographic (EEG) and magnetoencephalographic (MEG) signals to improve classification performances in motor imagery-based brain-computer interfaces (BCIs).
Bassett, Danielle S.   +6 more
core   +3 more sources

Molecular Communication Is the Internet of Brain Missing Key: A Comprehensive Overview of Background Technologies and the Generic Framework

open access: yesEngineering Reports, Volume 8, Issue 3, March 2026.
A novel three‐layer architecture is proposed for cell‐to‐cell communication, integrating molecular, nano‐electronic, and digital components. It enables bio‐integrated applications such as remote emotional touching, consensual telepathy, and autonomous drug delivery. Molecular Communication (MC) is utilized with advanced implants, modulation techniques,
Saeed Banaeian Far   +2 more
wiley   +1 more source

Spatial Distance and Temporal Attentional Focus Modulate Voluntary Action Preparation and Awareness

open access: yesPsychophysiology, Volume 63, Issue 3, March 2026.
ABSTRACT Peripersonal space (PPS)—the immediate space surrounding the body—modulates perception and motor control. However, its impact on how voluntary actions are initiated and subjectively experienced remains underexplored. Similarly, how directing attention to different phases of an action, such as intention formation versus execution, and ...
Gaiqing Kong   +6 more
wiley   +1 more source

Functional magnetic resonance imaging neurofeedback-guided motor imagery training and motor training for Parkinson's Disease: randomized trial [PDF]

open access: yes, 2016
Objective: Real-time functional magnetic resonance imaging (rt-fMRI) neurofeedback (NF) uses feedback of the patient’s own brain activity to self-regulate brain networks which in turn could lead to a change in behavior and clinical symptoms.
Brosnan, Meadhbh   +5 more
core   +3 more sources

Psychological, Neurophysiological, and Mental Factors Associated With Gamma-Enhancing Neurofeedback Success

open access: yesBasic and Clinical Neuroscience, 2020
Introduction: Regarding the neurofeedback training process, previous studies indicate that 10%-50% of subjects cannot gain control over their brain activity even after repeated training sessions.
Zeynab Khodakarami, Mohammad Firoozabadi
doaj  

Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 2, February 2026.
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet   +9 more
wiley   +1 more source

Source-based neurofeedback methods using EEG recordings: Training altered brain activity in a functional brain source derived from Blind Source Separation

open access: yesFrontiers in Behavioral Neuroscience, 2014
A developing literature explores the use of neurofeedback in the treatment of a range of clinical conditions, particularly ADHD and epilepsy, whilst neurofeedback also provides an experimental tool for studying the functional significance of endogenous ...
David James White   +2 more
doaj   +1 more source

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