Cargando…

CutFEM forward modeling for EEG source analysis

INTRODUCTION: Source analysis of Electroencephalography (EEG) data requires the computation of the scalp potential induced by current sources in the brain. This so-called EEG forward problem is based on an accurate estimation of the volume conduction effects in the human head, represented by a parti...

Descripción completa

Detalles Bibliográficos
Autores principales:	Erdbrügger, Tim, Westhoff, Andreas, Höltershinken, Malte, Radecke, Jan-Ole, Buschermöhle, Yvonne, Buyx, Alena, Wallois, Fabrice, Pursiainen, Sampsa, Gross, Joachim, Lencer, Rebekka, Engwer, Christian, Wolters, Carsten
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Human Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10488711/ https://www.ncbi.nlm.nih.gov/pubmed/37694172 http://dx.doi.org/10.3389/fnhum.2023.1216758

Ejemplares similares

DUNEuro—A software toolbox for forward modeling in bioelectromagnetism
por: Schrader, Sophie, et al.
Publicado: (2021)

Normative tDCS over V5 and FEF reveals practice-induced modulation of extraretinal smooth pursuit mechanisms, but no specific stimulation effect
por: Radecke, Jan-Ole, et al.
Publicado: (2023)

Forward and inverse effects of the complete electrode model in neonatal EEG
por: Pursiainen, S., et al.
Publicado: (2016)

Brainstorm-DUNEuro: An integrated and user-friendly Finite Element Method for modeling electromagnetic brain activity
por: Medani, Takfarinas, et al.
Publicado: (2023)

Zeffiro User Interface for Electromagnetic Brain Imaging: a GPU Accelerated FEM Tool for Forward and Inverse Computations in Matlab
por: He, Q., et al.
Publicado: (2019)

The Discontinuous Galerkin Finite Element Method for Solving the MEG and the Combined MEG/EEG Forward Problem
por: Piastra, Maria Carla, et al.
Publicado: (2018)

Multi-compartment head modeling in EEG: Unstructured boundary-fitted tetra meshing with subcortical structures
por: Galaz Prieto, Fernando, et al.
Publicado: (2023)

Effects of Cutting Edge Microgeometry on Residual Stress in Orthogonal Cutting of Inconel 718 by FEM
por: Shen, Qi, et al.
Publicado: (2018)

Application of Referencing Techniques in EEG-Based Recordings of Contact Heat Evoked Potentials (CHEPS)
por: Anders, Malte, et al.
Publicado: (2020)

Electrical Stimulation of the Human Cerebral Cortex by Extracranial Muscle Activity: Effect Quantification With Intracranial EEG and FEM Simulations
por: Fiederer, Lukas Dominique Josef, et al.
Publicado: (2016)

The Influence of Different EEG References on Scalp EEG Functional Network Analysis During Hand Movement Tasks
por: Zhang, Lipeng, et al.
Publicado: (2020)

Mapping the Scene and Object Processing Networks by Intracranial EEG
por: Vlcek, Kamil, et al.
Publicado: (2020)

Feedback Related Potentials for EEG-Based Typing Systems
por: Gonzalez-Navarro, Paula, et al.
Publicado: (2022)

Recognition of Consumer Preference by Analysis and Classification EEG Signals
por: Aldayel, Mashael, et al.
Publicado: (2021)

Editorial: EEG/MEG based diagnosis for psychiatric disorders
por: Zhang, Junpeng, et al.
Publicado: (2022)

Parametrizing the Conditionally Gaussian Prior Model for Source Localization with Reference to the P20/N20 Component of Median Nerve SEP/SEF
por: Rezaei, Atena, et al.
Publicado: (2020)

The Application of EEG Mu Rhythm Measures to Neurophysiological Research in Stuttering
por: Jenson, David, et al.
Publicado: (2020)

Cross-Dataset Variability Problem in EEG Decoding With Deep Learning
por: Xu, Lichao, et al.
Publicado: (2020)

Persistence of EEG Alpha Entrainment Depends on Stimulus Phase at Offset
por: Otero, Mónica, et al.
Publicado: (2020)

EEG Features of Evoked Tactile Sensation: Two Cases Study
por: Qin, Changyu, et al.
Publicado: (2022)

Decoding Intracranial EEG With Machine Learning: A Systematic Review
por: Mirchi, Nykan, et al.
Publicado: (2022)

The power of multivariate approach in identifying EEG correlates of interlimb coupling
por: Hascher, Sophie, et al.
Publicado: (2023)

Proactive Control of Emotional Distraction: Evidence From EEG Alpha Suppression
por: Murphy, Justin, et al.
Publicado: (2020)

Editorial: Techniques Advances and Clinical Applications in Fused EEG-fNIRS
por: Yuan, Zhen, et al.
Publicado: (2019)

Estimating Cognitive Workload in an Interactive Virtual Reality Environment Using EEG
por: Tremmel, Christoph, et al.
Publicado: (2019)

Neuroergonomic Assessment of Hot Beverage Preparation and Consumption: An EEG and EDA Study
por: Sargent, Amanda, et al.
Publicado: (2020)

EEG Correlates of Long-Distance Dependency Formation in Mandarin Wh-Questions
por: Lo, Chia-Wen, et al.
Publicado: (2021)

Epileptic High-Frequency Oscillations in Intracranial EEG Are Not Confounded by Cognitive Tasks
por: Boran, Ece, et al.
Publicado: (2021)

Investigating Nuisance Effects Induced in EEG During tACS Application
por: Holzmann, Romain, et al.
Publicado: (2021)

A State-of-the-Art Review of EEG-Based Imagined Speech Decoding
por: Lopez-Bernal, Diego, et al.
Publicado: (2022)

Decoding EEG Brain Activity for Multi-Modal Natural Language Processing
por: Hollenstein, Nora, et al.
Publicado: (2021)

From Expert to Elite? — Research on Top Archer’s EEG Network Topology
por: Gu, Feng, et al.
Publicado: (2022)

Closed-loop motor imagery EEG simulation for brain-computer interfaces
por: Shin, Hyonyoung, et al.
Publicado: (2022)

Decoding the neural signatures of valence and arousal from portable EEG headset
por: Garg, Nikhil, et al.
Publicado: (2022)

Cognition is entangled with metabolism: relevance for resting-state EEG-fMRI
por: Jacob, Michael, et al.
Publicado: (2023)

Hybrid transfer learning strategy for cross-subject EEG emotion recognition
por: Lu, Wei, et al.
Publicado: (2023)

Machine Learning Approaches for MDD Detection and Emotion Decoding Using EEG Signals
por: Duan, Lijuan, et al.
Publicado: (2020)

Weighted Brain Network Metrics for Decoding Action Intention Understanding Based on EEG
por: Xiong, Xingliang, et al.
Publicado: (2020)

EEG-Based Classification of Internally- and Externally-Directed Attention in an Augmented Reality Paradigm
por: Vortmann, Lisa-Marie, et al.
Publicado: (2019)

Two-Level Domain Adaptation Neural Network for EEG-Based Emotion Recognition
por: Bao, Guangcheng, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_5ibmuh8kordc4lsuocf4jun5f0