Cargando…

Editorial: Mapping Psychopathology with fMRI and Effective Connectivity Analysis

Detalles Bibliográficos
Autores principales:	Li, Baojuan, Razi, Adeel, Friston, Karl J.
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/PMC5374194/ https://www.ncbi.nlm.nih.gov/pubmed/28408874 http://dx.doi.org/10.3389/fnhum.2017.00151

Ejemplares similares

Editorial: Mapping psychopathology with MRI and connectivity analysis
por: Cui, Long-Biao, et al.
Publicado: (2023)

Dynamic effective connectivity in resting state fMRI
por: Park, Hae-Jeong, et al.
Publicado: (2018)

Mapping Smoking Addiction Using Effective Connectivity Analysis
por: Tang, Rongxiang, et al.
Publicado: (2016)

A DCM for resting state fMRI
por: Friston, Karl J., et al.
Publicado: (2014)

Hierarchical Dynamic Causal Modeling of Resting-State fMRI Reveals Longitudinal Changes in Effective Connectivity in the Motor System after Thalamotomy for Essential Tremor
por: Park, Hae-Jeong, et al.
Publicado: (2017)

The effect of global signal regression on DCM estimates of noise and effective connectivity from resting state fMRI
por: Almgren, Hannes, et al.
Publicado: (2020)

A guide to group effective connectivity analysis, part 1: First level analysis with DCM for fMRI
por: Zeidman, Peter, et al.
Publicado: (2019)

On nodes and modes in resting state fMRI
por: Friston, Karl J., et al.
Publicado: (2014)

Construct validation of a DCM for resting state fMRI
por: Razi, Adeel, et al.
Publicado: (2015)

Network Connectivity in Epilepsy: Resting State fMRI and EEG–fMRI Contributions
por: Centeno, Maria, et al.
Publicado: (2014)

Large-scale DCMs for resting-state fMRI
por: Razi, Adeel, et al.
Publicado: (2017)

Variational Bayesian causal connectivity analysis for fMRI
por: Luessi, Martin, et al.
Publicado: (2014)

An electrophysiological validation of stochastic DCM for fMRI
por: Daunizeau, J., et al.
Publicado: (2013)

Functional Connectivity Mapping in the Animal Model: Principles and Applications of Resting-State fMRI
por: Gorges, Martin, et al.
Publicado: (2017)

State-Dependent Effective Connectivity in Resting-State fMRI
por: Park, Hae-Jeong, et al.
Publicado: (2021)

Autism Spectrum Disorder Studies Using fMRI Data and Machine Learning: A Review
por: Liu, Meijie, et al.
Publicado: (2021)

Editorial: Origins of the Resting-State fMRI Signal
por: Chen, J. Jean, et al.
Publicado: (2020)

Phase fMRI Reveals More Sparseness and Balance of Rest Brain Functional Connectivity Than Magnitude fMRI
por: Chen, Zikuan, et al.
Publicado: (2019)

Effect of Spatial Smoothing on Task fMRI ICA and Functional Connectivity
por: Chen, Zikuan, et al.
Publicado: (2018)

Connectivity Concordance Mapping: A New Tool for Model-Free Analysis of fMRI Data of the Human Brain
por: Lohmann, Gabriele, et al.
Publicado: (2012)

A pooling-LiNGAM algorithm for effective connectivity analysis of fMRI data
por: Xu, Lele, et al.
Publicado: (2014)

Arousal Contributions to Resting-State fMRI Connectivity and Dynamics
por: Gu, Yameng, et al.
Publicado: (2019)

Correcting for Non-stationarity in BOLD-fMRI Connectivity Analyses
por: Davey, Catherine E., et al.
Publicado: (2021)

Manifold learning for fMRI time-varying functional connectivity
por: Gonzalez-Castillo, Javier, et al.
Publicado: (2023)

Listening to real-world sounds: fMRI data for analyzing connectivity networks
por: Kuo, Po-Chih, et al.
Publicado: (2019)

Editorial: Temporal Features in Resting State fMRI Data
por: Zhang, Nanyin, et al.
Publicado: (2020)

Editorial: Demonstrating quality control (QC) procedures in fMRI
por: Taylor, Paul A., et al.
Publicado: (2023)

Discriminative analysis of non-linear brain connectivity in schizophrenia: an fMRI Study
por: Su, Longfei, et al.
Publicado: (2013)

Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis
por: Kim, Byung-Hoon, et al.
Publicado: (2020)

Advice Taking from Humans and Machines: An fMRI and Effective Connectivity Study
por: Goodyear, Kimberly, et al.
Publicado: (2016)

DC Shifts-fMRI: A Supplement to Event-Related fMRI
por: Li, Qiang, et al.
Publicado: (2019)

Functional and effective connectivity analysis of drug-resistant epilepsy: a resting-state fMRI analysis
por: Bacon, Eric Jacob, et al.
Publicado: (2023)

Self-regulation learning as active inference: dynamic causal modeling of an fMRI neurofeedback task
por: Vargas, Gabriela, et al.
Publicado: (2023)

Resting State fMRI Functional Connectivity Analysis Using Dynamic Time Warping
por: Meszlényi, Regina J., et al.
Publicado: (2017)

Exploring fMRI Results Space: 31 Variants of an fMRI Analysis in AFNI, FSL, and SPM
por: Pauli, Ruth, et al.
Publicado: (2016)

Meta-Analysis of the Structural Equation Models' Parameters for the Estimation of Brain Connectivity with fMRI
por: Guàrdia-Olmos, Joan, et al.
Publicado: (2018)

Sparse Estimation of Resting-State Effective Connectivity From fMRI Cross-Spectra
por: Lennartz, Carolin, et al.
Publicado: (2018)

Editorial: Novel perspectives and improvements in fMRI functional connectivity analysis methods used to investigate brain networks and cognitive mechanisms in humans
por: Ozay, Mete
Publicado: (2023)

Dynamic connectivity detection: an algorithm for determining functional connectivity change points in fMRI data
por: Xu, Yuting, et al.
Publicado: (2015)

On tests of activation map dimensionality for fMRI-based studies of learning
por: Yang, Juemin, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_cu5mhts11t0logfj1pf69gjhor