[HTML][HTML] Machine learning based brain signal decoding for intelligent adaptive deep brain stimulation

T Merk, V Peterson, R Köhler, S Haufe… - Experimental …, 2022 - Elsevier
Sensing enabled implantable devices and next-generation neurotechnology allow real-time
adjustments of invasive neuromodulation. The identification of symptom and disease …

[HTML][HTML] Quantification of phase-amplitude coupling in neuronal oscillations: comparison of phase-locking value, mean vector length, modulation index, and …

MJ Hülsemann, E Naumann, B Rasch - Frontiers in neuroscience, 2019 - frontiersin.org
Phase-amplitude coupling is a promising construct to study cognitive processes in
electroencephalography (EEG) and magnetencephalography (MEG). Due to the novelty of …

Anterior–posterior hippocampal dynamics support working memory processing

J Li, D Cao, V Dimakopoulos, W Shi, S Yu… - Journal of …, 2022 - Soc Neuroscience
The hippocampus is a locus of working memory (WM) with anterior and posterior subregions
that differ in their transcriptional and external connectivity patterns. However, the …

[HTML][HTML] The open EEGLAB portal interface: High-performance computing with EEGLAB

R Martínez-Cancino, A Delorme, D Truong, F Artoni… - NeuroImage, 2021 - Elsevier
EEGLAB signal processing environment is currently the leading open-source software for
processing electroencephalographic (EEG) data. The Neuroscience Gateway (NSG …

Cortical hyperexcitability in mouse models and patients with amyotrophic lateral sclerosis is linked to noradrenaline deficiency

J Scekic-Zahirovic, C Benetton, A Brunet… - Science Translational …, 2024 - science.org
Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease,
characterized by the death of upper (UMN) and lower motor neurons (LMN) in the motor …

[HTML][HTML] Tensorpac: An open-source Python toolbox for tensor-based phase-amplitude coupling measurement in electrophysiological brain signals

E Combrisson, T Nest, A Brovelli… - PLoS computational …, 2020 - journals.plos.org
Despite being the focus of a thriving field of research, the biological mechanisms that
underlie information integration in the brain are not yet fully understood. A theory that has …

Are there consistent abnormalities in event‐related EEG oscillations in patients with Alzheimer's disease compared to other diseases belonging to dementia?

B Güntekin, T Aktürk, X Arakaki, L Bonanni… - …, 2022 - Wiley Online Library
Cerebrospinal and structural‐molecular neuroimaging in‐vivo biomarkers are
recommended for diagnostic purposes in Alzheimer's disease (AD) and other dementias; …

[HTML][HTML] Revealing the dynamic nature of amplitude modulated neural entrainment with Holo-Hilbert spectral analysis

CH Juan, KT Nguyen, WK Liang, AJ Quinn… - Frontiers in …, 2021 - frontiersin.org
Patterns in external sensory stimuli can rapidly entrain neuronally generated oscillations
observed in electrophysiological data. Here, we manipulated the temporal dynamics of …

Monocular endoscope 6-DoF tracking with constrained evolutionary stochastic filtering

X Luo, L Xie, HQ Zeng, X Wang, S Li - Medical Image Analysis, 2023 - Elsevier
Monocular endoscopic 6-DoF camera tracking plays a vital role in surgical navigation that
involves multimodal images to build augmented or virtual reality surgery. Such a 6-DoF …

[HTML][HTML] A dynamic generative model can extract interpretable oscillatory components from multichannel neurophysiological recordings

P Das, M He, PL Purdon - Elife, 2024 - elifesciences.org
Modern neurophysiological recordings are performed using multichannel sensor arrays that
are able to record activity in an increasingly high number of channels numbering in the 100s …