Statistical power in network neuroscience
Network neuroscience has emerged as a leading method to study brain connectivity. The
success of these investigations is dependent not only on approaches to accurately map …
success of these investigations is dependent not only on approaches to accurately map …
[HTML][HTML] Review on the use of brain computer interface rehabilitation methods for treating mental and neurological conditions
This review provides a comprehensive examination of recent developments in both
neurofeedback and brain-computer interface (BCI) within the medical field and …
neurofeedback and brain-computer interface (BCI) within the medical field and …
A BCI-based vibrotactile neurofeedback training improves motor cortical excitability during motor imagery
NA Grigorev, AO Savosenkov… - … on Neural Systems …, 2021 - ieeexplore.ieee.org
In this study, we address the issue of whether vibrotactile feedback can enhance the motor
cortex excitability translated into the plastic changes in local cortical areas during motor …
cortex excitability translated into the plastic changes in local cortical areas during motor …
Tremor-related feature engineering for machine learning based Parkinson's disease diagnostics
Growing research interest has arisen towards the possibility to automatically discriminate
between the patients with neurodegenerative disease and healthy controls based on the …
between the patients with neurodegenerative disease and healthy controls based on the …
The oxygen saturation in the primary motor cortex during a single hand movement: functional near-infrared spectroscopy (fnirs) study
Functional near-infrared spectroscopy is a noninvasive optical imaging technique to register
brain activity. It utilizes near-infrared light to evaluate the oxygenated (HbO) and …
brain activity. It utilizes near-infrared light to evaluate the oxygenated (HbO) and …
Transcranial magnetic stimulation of the dorsolateral prefrontal cortex increases posterior theta rhythm and reduces latency of motor imagery
Experiments show activation of the left dorsolateral prefrontal cortex (DLPFC) in motor
imagery (MI) tasks, but its functional role requires further investigation. Here, we address this …
imagery (MI) tasks, but its functional role requires further investigation. Here, we address this …
Cumulant analysis in wavelet space for studying effects of aging on electrical activity of the brain
GA Guyo, AN Pavlov, EN Pitsik, NS Frolov… - Chaos, Solitons & …, 2022 - Elsevier
Multiresolution wavelet analysis with thorough processing of decomposition coefficients
using a set of cumulants is proposed as a way to improve the characterization of complex …
using a set of cumulants is proposed as a way to improve the characterization of complex …
Gmh-d: Combining google mediapipe and rgb-depth cameras for hand motor skills remote assessment
Impairment in the execution of simple motor tasks involving hands and fingers could hint at a
general worsening of health conditions, particularly in the elderly and in people affected by …
general worsening of health conditions, particularly in the elderly and in people affected by …
Age-related distinctions in eeg signals during execution of motor tasks characterized in terms of long-range correlations
AN Pavlov, EN Pitsik, NS Frolov, A Badarin… - Sensors, 2020 - mdpi.com
The problem of revealing age-related distinctions in multichannel electroencephalograms
(EEGs) during the execution of motor tasks in young and elderly adults is addressed herein …
(EEGs) during the execution of motor tasks in young and elderly adults is addressed herein …
Revealing a multiplex brain network through the analysis of recurrences
A multilayer approach has recently received particular attention in network neuroscience as
a suitable model to describe brain dynamics by adjusting its activity in different frequency …
a suitable model to describe brain dynamics by adjusting its activity in different frequency …