Results 71 to 80 of about 30,365 (229)
A complex network perspective on brain disease
ABSTRACT If brain anatomy and dynamics have a complex network structure as it has become standard to posit, it is reasonable to assume that such a structure should play a key role not only in brain function but also in brain dysfunction. However, exactly how network structure is implicated in brain damage and whether at least some pathologies can be ...
David Papo, Javier M. Buldú
wiley +1 more source
Functional MRI neurofeedback training on connectivity between two regions induces long-lasting changes in intrinsic functional network [PDF]
Motor or perceptual learning is known to influence functional connectivity between brain regions and induce short-term changes in the intrinsic functional networks revealed as correlations in slow blood-oxygen-level dependent (BOLD) signal fluctuations ...
Imamizu, H +3 more
core +2 more sources
ABSTRACT Background People with intellectual disabilities (ID) and forensic histories face significant health inequalities, including reduced quality of life and prolonged stays in mental health hospitals. This is a global health issue, and there is an urgent need for evidence‐based specific forensic interventions, models of care and service models to ...
Alina Haines‐Delmont +12 more
wiley +1 more source
Epilepsy – A Brief Overview [PDF]
Epilepsy is a neurological condition in which an individual experiences chronic abnormal bursts of electrical discharge in the brain. These seizures can cause a variety symptoms depending on the areas of the brain affected. Symptoms can vary from mild to
Koyama, Alain
core
Autonomy Index (AI) and Connective Flexibility of Homotopic voxels (CFH) were derived from resting‐state fMRI data following standard preprocessing. These functional metrics were computed based on the AAL90 atlas to characterize intrinsic activity and interhemispheric coordination patterns in RRD patients.
Yu Ji, Yuan‐Yuan Wang, Xiao‐Rong Wu
wiley +1 more source
Meditation‐induced self‐boundary dissolution can be predicted from magnetoencephalography recordings using Lempel‐Ziv complexity and oscillatory power as neural markers. We demonstrate significantly above‐chance classification of altered self‐experience on a single‐trial basis and show that it is mediated by complex activation patterns across brain ...
Henrik Röhr +8 more
wiley +1 more source
Although the first experiments on alpha-neurofeedback date back nearly six decades ago, when Joseph Kamiya reported successful operant conditioning of alpha-rhythm in humans, the effectiveness of this paradigm in various experimental and clinical ...
Alexei Ossadtchi +4 more
doaj +1 more source
Modulation of Intrinsic Brain Connectivity by Implicit Electroencephalographic Neurofeedback
Despite the increasing popularity of neurofeedback, its mechanisms of action are still poorly understood. This study aims to describe the processes underlying implicit electroencephalographic neurofeedback.
Olga R. Dobrushina +7 more
doaj +1 more source
Integrating EEG and MEG signals to improve motor imagery classification in brain-computer interfaces
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
In the last few years, recent advances in alternative methods for neurorehabilitation have witnessed outstanding progress including electrical stimulation (ES) and its derivative functional electrical stimulation (FES), a treatment that applies a transcutaneous electrical current to induce muscle contractions and is commonly used in individuals with ...
David Reyes-Lopez +2 more
wiley +1 more source

