Cargando…

Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model

BACKGROUND: Intracranial electroencephalography (iEEG) recordings are used for clinical evaluation prior to surgical resection of the focus of epileptic seizures and also provide a window into normal brain function. A major difficulty with interpreting iEEG results at the group level is inconsistent...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Siqi, Cao, Chunyan, Quinn, Andrew, Vivekananda, Umesh, Zhan, Shikun, Liu, Wei, Sun, Bomin, Woolrich, Mark, Lu, Qing, Litvak, Vladimir
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Academic Press 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8204269/ https://www.ncbi.nlm.nih.gov/pubmed/33662572 http://dx.doi.org/10.1016/j.neuroimage.2021.117923

Ejemplares similares

The use of simultaneous stereo-electroencephalography and magnetoencephalography in localizing the epileptogenic focus in refractory focal epilepsy
por: Vivekananda, Umesh, et al.
Publicado: (2021)

Online Prediction of Lead Seizures from iEEG Data
por: Chen, Hsiang-Han, et al.
Publicado: (2021)

A Primer on Hyperdimensional Computing for iEEG Seizure Detection
por: Schindler, Kaspar A., et al.
Publicado: (2021)

An iEEG Recording and Adjustable Shunt-Current Conduction Platform for Epilepsy Treatment
por: You, Changhua, et al.
Publicado: (2022)

Hybrid Convolutional Neural Network for Localization of Epileptic Focus Based on iEEG
por: Sui, Linfeng, et al.
Publicado: (2021)

Editorial: From Raw MEG/EEG to Publication: How to Perform MEG/EEG Group Analysis With Free Academic Software
por: Delorme, Arnaud, et al.
Publicado: (2022)

A multi-frame network model for predicting seizure based on sEEG and iEEG data
por: Lu, Liangfu, et al.
Publicado: (2022)

Granger Causality Analysis of Interictal iEEG Predicts Seizure Focus and Ultimate Resection
por: Park, Eun-Hyoung, et al.
Publicado: (2018)

Expert and deep learning model identification of iEEG seizures and seizure onset times
por: Arcot Desai, Sharanya, et al.
Publicado: (2023)

L-dopa treatment increases oscillatory power in the motor cortex of Parkinson's disease patients
por: Cao, Chunyan, et al.
Publicado: (2020)

Task-Evoked Dynamic Network Analysis Through Hidden Markov Modeling
por: Quinn, Andrew J., et al.
Publicado: (2018)

An Intracranial Electroencephalography (iEEG) Brain Function Mapping Tool with an Application to Epilepsy Surgery Evaluation
por: Wang, Yinghua, et al.
Publicado: (2016)

iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology
por: Holdgraf, Christopher, et al.
Publicado: (2019)

Responses to Visual Speech in Human Posterior Superior Temporal Gyrus Examined with iEEG Deconvolution
por: Metzger, Brian A., et al.
Publicado: (2020)

A Practical Workflow for Organizing Clinical Intraoperative and Long-term iEEG Data in BIDS
por: Demuru, Matteo, et al.
Publicado: (2022)

Network analysis of preictal iEEG reveals changes in network structure preceding seizure onset
por: Sumsky, Stefan, et al.
Publicado: (2022)

EEG and MEG Data Analysis in SPM8
por: Litvak, Vladimir, et al.
Publicado: (2011)

iEEG-recon: A Fast and Scalable Pipeline for Accurate Reconstruction of Intracranial Electrodes and Implantable Devices
por: Lucas, Alfredo, et al.
Publicado: (2023)

Comparing dynamic causal models of neurovascular coupling with fMRI and EEG/MEG
por: Jafarian, Amirhossein, et al.
Publicado: (2020)

Dissecting unsupervised learning through hidden Markov modeling in electrophysiological data
por: Masaracchia, Laura, et al.
Publicado: (2023)

Extensions of Granger Causality Calculations on Brain Networks for Efficient and Accurate Seizure Focus Identification via iEEGs
por: Yang, Victor B., et al.
Publicado: (2021)

Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film
por: Berezutskaya, Julia, et al.
Publicado: (2022)

Algorithmic procedures for Bayesian MEG/EEG source reconstruction in SPM()
por: López, J.D., et al.
Publicado: (2014)

Temporo-Frontal Coherences and High-Frequency iEEG Responses during Spatial Navigation in Patients with Drug-Resistant Epilepsy
por: Thomschewski, Aljoscha, et al.
Publicado: (2021)

Multiband entropy-based feature-extraction method for automatic identification of epileptic focus based on high-frequency components in interictal iEEG
por: Akter, Most. Sheuli, et al.
Publicado: (2020)

Statistical Features in High-Frequency Bands of Interictal iEEG Work Efficiently in Identifying the Seizure Onset Zone in Patients with Focal Epilepsy
por: Akter, Most. Sheuli, et al.
Publicado: (2020)

Gamma band activity associated with BCI performance: simultaneous MEG/EEG study
por: Ahn, Minkyu, et al.
Publicado: (2013)

A Parametric Empirical Bayesian Framework for the EEG/MEG Inverse Problem: Generative Models for Multi-Subject and Multi-Modal Integration
por: Henson, Richard N., et al.
Publicado: (2011)

Microstates and power envelope hidden Markov modeling probe bursting brain activity at different timescales
por: Coquelet, N., et al.
Publicado: (2022)

Inference in Hidden Markov Models
por: Cappe, Olivier
Publicado: (2005)

Hidden Markov Modeling with HMMTeacher
por: Fuentes-Beals, Camilo, et al.
Publicado: (2022)

Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification
por: Prabhakar, Sunil Kumar, et al.
Publicado: (2022)

EEG/MEG Signal Processing
por: Cichocki, A., et al.
Publicado: (2007)

Mapping Interictal activity in epilepsy using a hidden Markov model: A magnetoencephalography study
por: Seedat, Zelekha A., et al.
Publicado: (2022)

Simultaneous characterization of sense and antisense genomic processes by the double-stranded hidden Markov model
por: Glas, Julia, et al.
Publicado: (2016)

Cortico-subthalamic Coherence in a Patient With Dystonia Induced by Chorea-Acanthocytosis: A Case Report
por: Cao, Chunyan, et al.
Publicado: (2019)

Non-linear Embedding Methods for Identifying Similar Brain Activity in 1 Million iEEG Records Captured From 256 RNS System Patients
por: Arcot Desai, Sharanya, et al.
Publicado: (2022)

Large‐scale network dynamics underlying the first few hundred milliseconds after stimulus presentation: An investigation of visual recognition memory using iEEG
por: Kopal, Jakub, et al.
Publicado: (2023)

Inferring Adaptive Introgression Using Hidden Markov Models
por: Svedberg, Jesper, et al.
Publicado: (2021)

Validating EEG, MEG and Combined MEG and EEG Beamforming for an Estimation of the Epileptogenic Zone in Focal Cortical Dysplasia
por: Neugebauer, Frank, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_ln74ocmhb4uhlbhbefj586ij0a