Novel electrodes for reliable EEG recordings on coarse and curly hair
EEG is a powerful and affordable brain sensing and imaging tool used extensively for the
diagnosis of neurological disorders (eg epilepsy), brain computer interfacing, and basic …
diagnosis of neurological disorders (eg epilepsy), brain computer interfacing, and basic …
Very high density EEG elucidates spatiotemporal aspects of early visual processing
Standard human EEG systems based on spatial Nyquist estimates suggest that 20–30 mm
electrode spacing suffices to capture neural signals on the scalp, but recent studies posit …
electrode spacing suffices to capture neural signals on the scalp, but recent studies posit …
[HTML][HTML] Spatial sampling of MEG and EEG based on generalized spatial-frequency analysis and optimal design
In this paper, we analyze spatial sampling of electro-(EEG) and magnetoencephalography
(MEG), where the electric or magnetic field is typically sampled on a curved surface such as …
(MEG), where the electric or magnetic field is typically sampled on a curved surface such as …
Stimulus: Noninvasive dynamic patterns of neurostimulation using spatio-temporal interference
Objective: This paper obtains strategies that can achieve spatially precise noninvasive deep
brain stimulation using electrical currents. Methods: We provide the Spatio-Temporal …
brain stimulation using electrical currents. Methods: We provide the Spatio-Temporal …
The human organism as an integrated interaction network: recent conceptual and methodological challenges
The field of Network Physiology aims to advance our understanding of how physiological
systems and sub-systems interact to generate a variety of behaviors and distinct …
systems and sub-systems interact to generate a variety of behaviors and distinct …
Enhanced spatiotemporal resolution imaging of neuronal activity using joint electroencephalography and diffuse optical tomography
Significance: Electroencephalography (EEG) and functional near-infrared spectroscopy
(fNIRS) are both commonly used methodologies for neuronal source reconstruction. While …
(fNIRS) are both commonly used methodologies for neuronal source reconstruction. While …
An algorithm for automated, noninvasive detection of cortical spreading depolarizations based on EEG simulations
Objective: We present a novel signal processing algorithm for automated, noninvasive
detection of cortical spreading depolarizations (CSDs) using electroencephalography (EEG) …
detection of cortical spreading depolarizations (CSDs) using electroencephalography (EEG) …
Mapping of the central sulcus using non-invasive ultra-high-density brain recordings
L Schreiner, M Jordan, S Sieghartsleitner, C Kapeller… - Scientific reports, 2024 - nature.com
Brain mapping is vital in understanding the brain's functional organization.
Electroencephalography (EEG) is one of the most widely used brain mapping approaches …
Electroencephalography (EEG) is one of the most widely used brain mapping approaches …
A minimum assumption approach to MEG sensor array design
Objective. Our objective is to formulate the problem of the magnetoencephalographic (MEG)
sensor array design as a well-posed engineering problem of accurately measuring the …
sensor array design as a well-posed engineering problem of accurately measuring the …
Information flow in computational systems
We develop a theoretical framework for defining and identifying flows of information in
computational systems. Here, a computational system is assumed to be a directed graph …
computational systems. Here, a computational system is assumed to be a directed graph …