Cargando…

Kernel-Based Relevance Analysis with Enhanced Interpretability for Detection of Brain Activity Patterns

We introduce Enhanced Kernel-based Relevance Analysis (EKRA) that aims to support the automatic identification of brain activity patterns using electroencephalographic recordings. EKRA is a data-driven strategy that incorporates two kernel functions to take advantage of the available joint informati...

Descripción completa

Detalles Bibliográficos
Autores principales:	Alvarez-Meza, Andres M., Orozco-Gutierrez, Alvaro, Castellanos-Dominguez, German
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2017
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635061/ https://www.ncbi.nlm.nih.gov/pubmed/29056897 http://dx.doi.org/10.3389/fnins.2017.00550

Ejemplares similares

Single-Trial Kernel-Based Functional Connectivity for Enhanced Feature Extraction in Motor-Related Tasks
por: García-Murillo, Daniel Guillermo, et al.
Publicado: (2021)

Enhanced Data Representation by Kernel Metric Learning for Dementia Diagnosis
por: Cárdenas-Peña, David, et al.
Publicado: (2017)

AKL-ABC: An Automatic Approximate Bayesian Computation Approach Based on Kernel Learning
por: González-Vanegas, Wilson, et al.
Publicado: (2019)

KCS-FCnet: Kernel Cross-Spectral Functional Connectivity Network for EEG-Based Motor Imagery Classification
por: García-Murillo, Daniel Guillermo, et al.
Publicado: (2023)

A Data-Driven Measure of Effective Connectivity Based on Renyi's α-Entropy
por: De La Pava Panche, Ivan, et al.
Publicado: (2019)

An Enhanced Joint Hilbert Embedding-Based Metric to Support Mocap Data Classification with Preserved Interpretability
por: Valencia-Marin, Cristian Kaori, et al.
Publicado: (2021)

Deep and Wide Transfer Learning with Kernel Matching for Pooling Data from Electroencephalography and Psychological Questionnaires
por: Collazos-Huertas, Diego Fabian, et al.
Publicado: (2021)

Subject-Dependent Artifact Removal for Enhancing Motor Imagery Classifier Performance under Poor Skills
por: Tobón-Henao, Mateo, et al.
Publicado: (2022)

Centered Kernel Alignment Enhancing Neural Network Pretraining for MRI-Based Dementia Diagnosis
por: Cárdenas-Peña, David, et al.
Publicado: (2016)

Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity
por: Collazos-Huertas, Diego Fabian, et al.
Publicado: (2023)

Kernel-PCA data integration with enhanced interpretability
por: Reverter, Ferran, et al.
Publicado: (2014)

Dynamic Modeling of Common Brain Neural Activity in Motor Imagery Tasks
por: Velasquez-Martinez, Luisa F., et al.
Publicado: (2020)

Random Fourier Features-Based Deep Learning Improvement with Class Activation Interpretability for Nerve Structure Segmentation
por: Jimenez-Castaño, Cristian Alfonso, et al.
Publicado: (2021)

CNN-based framework using spatial dropping for enhanced interpretation of neural activity in motor imagery classification
por: Collazos-Huertas, D. F., et al.
Publicado: (2020)

Dll1 haploinsufficiency causes brain abnormalities with functional relevance
por: Arzate, Dulce-María, et al.
Publicado: (2022)

Editorial: Intelligent Recognition and Detection in Neuroimaging
por: Zhang, Yu-Dong, et al.
Publicado: (2022)

Affective Neural Responses Sonified through Labeled Correlation Alignment
por: Álvarez-Meza, Andrés Marino, et al.
Publicado: (2023)

Improvement of variables interpretability in kernel PCA
por: Briscik, Mitja, et al.
Publicado: (2023)

Identification and monitoring of brain activity based on stochastic relevance analysis of short–time EEG rhythms
por: Duque-Muñoz, Leonardo, et al.
Publicado: (2014)

Non-stationary Group-Level Connectivity Analysis for Enhanced Interpretability of Oddball Tasks
por: Padilla-Buritica, Jorge I., et al.
Publicado: (2020)

Multi-Level Clustering of Dynamic Directional Brain Network Patterns and Their Behavioral Relevance
por: Deshpande, Gopikrishna, et al.
Publicado: (2020)

Deep Neural Regression Prediction of Motor Imagery Skills Using EEG Functional Connectivity Indicators
por: Caicedo-Acosta, Julian, et al.
Publicado: (2021)

Semi-supervised clustering of fractionated electrograms for electroanatomical atrial mapping
por: Orozco-Duque, Andres, et al.
Publicado: (2016)

Functional Brain Imaging Synthesis Based on Image Decomposition and Kernel Modeling: Application to Neurodegenerative Diseases
por: Martinez-Murcia, Francisco J., et al.
Publicado: (2017)

Interpretable Recognition for Dementia Using Brain Images
por: Song, Xinjian, et al.
Publicado: (2021)

Emotion Discrimination Using Spatially Compact Regions of Interest Extracted from Imaging EEG Activity
por: Padilla-Buritica, Jorge I., et al.
Publicado: (2016)

A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments
por: Cardona-Álvarez, Yeison Nolberto, et al.
Publicado: (2023)

Interpretive JIVE: Connections with CCA and an application to brain connectivity
por: Murden, Raphiel J., et al.
Publicado: (2022)

Regression Networks for Neurophysiological Indicator Evaluation in Practicing Motor Imagery Tasks
por: Velasquez-Martinez, Luisa, et al.
Publicado: (2020)

A hybrid learning framework for fine-grained interpretation of brain spatiotemporal patterns during naturalistic functional magnetic resonance imaging
por: Yu, Sigang, et al.
Publicado: (2022)

Editorial: Clinical Relevance of the Immune-to-Brain and Brain-to-Immune Communications
por: Lasselin, Julie, et al.
Publicado: (2019)

A Context Dependent Interpretation of Inconsistencies in 2D:4D Findings: The Moderating Role of Status Relevance
por: Millet, Kobe, et al.
Publicado: (2018)

Estimation of Relevant Variables on High-Dimensional Biological Patterns Using Iterated Weighted Kernel Functions
por: Rojas-Galeano, Sergio, et al.
Publicado: (2008)

Kernel Fusion Method for Detecting Cancer Subtypes via Selecting Relevant Expression Data
por: Li, Shuhao, et al.
Publicado: (2020)

Spatiotemporal Kernel Reconstruction for Linear Parametric Neurotransmitter PET Kinetic Modeling in Motion Correction Brain PET of Awake Rats
por: Miranda, Alan, et al.
Publicado: (2022)

Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis
por: Natekar, Parth, et al.
Publicado: (2020)

Attentional Modulation of Change Detection ERP Components by Peripheral Retro-Cueing
por: Pazo-Álvarez, Paula, et al.
Publicado: (2017)

Patterns of brain activity distinguishing free and forced actions: contribution from sensory cortices
por: Kostelecki, Wojciech, et al.
Publicado: (2012)

Cell transplantation: relevance in understanding brain development and prospects in brain repair
por: Jaber, Mohamed, et al.
Publicado: (2012)

Moral Enhancement Using Non-invasive Brain Stimulation
por: Darby, R. Ryan, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_7n2546sr8lqgvkk3blci0hjfbk