Cargando…

Large-scale DCMs for resting-state fMRI

This paper considers the identification of large directed graphs for resting-state brain networks based on biophysical models of distributed neuronal activity, that is, effective connectivity. This identification can be contrasted with functional connectivity methods based on symmetric correlations...

Descripción completa

Detalles Bibliográficos
Autores principales:	Razi, Adeel, Seghier, Mohamed L., Zhou, Yuan, McColgan, Peter, Zeidman, Peter, Park, Hae-Jeong, Sporns, Olaf, Rees, Geraint, Friston, Karl J.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MIT Press 2017
Materias:	Methods
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5796644/ https://www.ncbi.nlm.nih.gov/pubmed/29400357 http://dx.doi.org/10.1162/NETN_a_00015

Ejemplares similares

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 discovery with large DCMs
por: Seghier, Mohamed L., et al.
Publicado: (2013)

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

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

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

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)

Editorial: Mapping Psychopathology with fMRI and Effective Connectivity Analysis
por: Li, Baojuan, 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)

An information-theoretic analysis of resting-state versus task fMRI
por: Tuominen, Julia, et al.
Publicado: (2023)

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

A method for independent component graph analysis of resting‐state fMRI
por: Ribeiro de Paula, Demetrius, et al.
Publicado: (2017)

Identifying Abnormal Connectivity in Patients Using Dynamic Causal Modeling of fMRI Responses
por: Seghier, Mohamed L., et al.
Publicado: (2010)

Visibility graphs for fMRI data: Multiplex temporal graphs and their modulations across resting-state networks
por: Sannino, Speranza, et al.
Publicado: (2017)

Using resting-state DMN effective connectivity to characterize the neurofunctional architecture of empathy
por: Esménio, Sofia, et al.
Publicado: (2019)

Empirical evaluation of human fetal fMRI preprocessing steps
por: Ji, Lanxin, et al.
Publicado: (2022)

How doctors diagnose diseases and prescribe treatments: an fMRI study of diagnostic salience
por: Melo, Marcio, et al.
Publicado: (2017)

Clustering of fMRI data: the elusive optimal number of clusters
por: Seghier, Mohamed L.
Publicado: (2018)

Educational fMRI: From the Lab to the Classroom
por: Seghier, Mohamed L., et al.
Publicado: (2019)

Graph convolutional network for fMRI analysis based on connectivity neighborhood
por: Wang, Lebo, et al.
Publicado: (2021)

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

Dynamic causal modelling of COVID-19
por: Friston, Karl J., et al.
Publicado: (2020)

Second waves, social distancing, and the spread of COVID-19 across the USA
por: Friston, Karl J., et al.
Publicado: (2021)

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

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

Questions and controversies in the study of time-varying functional connectivity in resting fMRI
por: Lurie, Daniel J., et al.
Publicado: (2020)

The Role of Cerebrovascular-Reactivity Mapping in Functional MRI: Calibrated fMRI and Resting-State fMRI
por: Chen, J. Jean, et al.
Publicado: (2021)

Prediction of Task-Related BOLD fMRI with Amplitude Signatures of Resting-State fMRI
por: Kannurpatti, Sridhar S., et al.
Publicado: (2012)

On consciousness, resting state fMRI, and neurodynamics
por: Lundervold, Arvid
Publicado: (2010)

Vigilance Effects in Resting-State fMRI
por: Liu, Thomas T., et al.
Publicado: (2020)

Resting-State fMRI in Studies of Acupuncture
por: Li, Xiaoling, et al.
Publicado: (2021)

Fixing the stimulus-as-fixed-effect fallacy in task fMRI
por: Westfall, Jacob, et al.
Publicado: (2017)

The Hierarchical Organization of the Default, Dorsal Attention and Salience Networks in Adolescents and Young Adults
por: Zhou, Yuan, et al.
Publicado: (2018)

Effective immunity and second waves: a dynamic causal modelling study
por: Friston, Karl J., et al.
Publicado: (2020)

On the generalizability of resting-state fMRI machine learning classifiers
por: Huf, Wolfgang, et al.
Publicado: (2014)

Extra-classical receptive field effects measured in striate cortex with fMRI
por: Harrison, L.M., et al.
Publicado: (2007)

DCMS: A data analytics and management system for molecular simulation
por: Kumar, Anand, et al.
Publicado: (2014)

Resting-State fMRI and Developmental Systems Neuroscience
por: Uddin, Lucina Q.
Publicado: (2011)

Resting State fMRI: Going Through the Motions
por: Maknojia, Sanam, et al.
Publicado: (2019)

Why is Clinical fMRI in a Resting State?
por: O'Connor, Erin E., et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_i2gfglhu3oulrej873pl290lg4