Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends

G Chiarion, L Sparacino, Y Antonacci, L Faes, L Mesin - Bioengineering, 2023 - mdpi.com
Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …

A comprehensive survey on ECG signals as new biometric modality for human authentication: Recent advances and future challenges

AN Uwaechia, DA Ramli - IEEE Access, 2021 - ieeexplore.ieee.org
Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …

ZapLine: A simple and effective method to remove power line artifacts

A De Cheveigné - NeuroImage, 2020 - Elsevier
Power line artifacts are the bane of animal and human electrophysiology. A number of
methods are available to help attenuate or eliminate them, but each has its own set of …

[HTML][HTML] Interference suppression techniques for OPM-based MEG: Opportunities and challenges

RA Seymour, N Alexander, S Mellor, GC O'Neill… - NeuroImage, 2022 - Elsevier
One of the primary technical challenges facing magnetoencephalography (MEG) is that the
magnitude of neuromagnetic fields is several orders of magnitude lower than interfering …

[HTML][HTML] Using OPMs to measure neural activity in standing, mobile participants

RA Seymour, N Alexander, S Mellor, GC O'Neill… - NeuroImage, 2021 - Elsevier
Optically pumped magnetometer-based magnetoencephalography (OP-MEG) can be used
to measure neuromagnetic fields while participants move in a magnetically shielded room …

k-fold cross-validation can significantly over-estimate true classification accuracy in common EEG-based passive BCI experimental designs: an empirical investigation

J White, SD Power - Sensors, 2023 - mdpi.com
In passive BCI studies, a common approach is to collect data from mental states of interest
during relatively long trials and divide these trials into shorter “epochs” to serve as individual …

Zapline‐plus: A Zapline extension for automatic and adaptive removal of frequency‐specific noise artifacts in M/EEG

M Klug, NA Kloosterman - Human Brain Map**, 2022 - Wiley Online Library
Removing power line noise and other frequency‐specific artifacts from electrophysiological
data without affecting neural signals remains a challenging task. Recently, an approach was …

Principles and open questions in functional brain network reconstruction

O Korhonen, M Zanin, D Papo - Human Brain Map**, 2021 - Wiley Online Library
Graph theory is now becoming a standard tool in system‐level neuroscience. However,
endowing observed brain anatomy and dynamics with a complex network representation …

Multimodal signal dataset for 11 intuitive movement tasks from single upper extremity during multiple recording sessions

JH Jeong, JH Cho, KH Shim, BH Kwon, BH Lee… - …, 2020 - academic.oup.com
Background Non-invasive brain–computer interfaces (BCIs) have been developed for
realizing natural bi-directional interaction between users and external robotic systems …

Prior knowledge changes initial sensory processing in the human spinal cord

MP Stenner, CM Nossa, T Zaehle, E Azañón… - Science …, 2025 - science.org
Prior knowledge changes how the brain processes sensory input. Whether knowledge
influences initial sensory processing upstream of the brain, in the spinal cord, is unknown …