State-Dependent Effective Connectivity in Resting-State fMRI

State-Dependent Effective Connectivity in Resting-State fMRI

The human brain at rest exhibits intrinsic dynamics transitioning among the multiple metastable states of the inter-regional functional connectivity. Accordingly, the demand for exploring the state-specific functional connectivity increases for a deeper understanding of mental diseases. Functional c...

Full description

Bibliographic Details
Main Authors:	Hae-Jeong Park, Jinseok Eo, Chongwon Pae, Junho Son, Sung Min Park, Jiyoung Kang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2021-10-01
Series:	Frontiers in Neural Circuits
Subjects:	effective connectivity dynamic connectivity resting state fMRI ADHD dynamic causal modeling (DCM)
Online Access:	https://www.frontiersin.org/articles/10.3389/fncir.2021.719364/full

Similar Items

Empirical Bayes estimation of pairwise maximum entropy model for nonlinear brain state dynamics
by: Seok-Oh Jeong, et al.
Published: (2021-12-01)

Graph-theoretical analysis for energy landscape reveals the organization of state transitions in the resting-state human cerebral cortex.
by: Jiyoung Kang, et al.
Published: (2019-01-01)

Hierarchical Dynamic Causal Modeling of Resting-State fMRI Reveals Longitudinal Changes in Effective Connectivity in the Motor System after Thalamotomy for Essential Tremor
by: Hae-Jeong Park, et al.
Published: (2017-07-01)

Geometric Convolutional Neural Network for Analyzing Surface-Based Neuroimaging Data
by: Si-Baek Seong, et al.
Published: (2018-07-01)

Structural Brain Connectivity Constrains within-a-Day Variability of Direct Functional Connectivity
by: Bumhee Park, et al.
Published: (2017-08-01)

Inter-species cortical registration between macaques and humans using a functional network property under a spherical demons framework
by: Haewon Nam, et al.
Published: (2021-01-01)

Inter-species cortical registration between macaques and humans using a functional network property under a spherical demons framework.
by: Haewon Nam, et al.
Published: (2021-01-01)

Immediate and Longitudinal Alterations of Functional Networks after Thalamotomy in Essential Tremor
by: Changwon Jang, et al.
Published: (2016-10-01)

Neuropharmacological computational analysis of longitudinal electroencephalograms in clozapine-treated patients with schizophrenia using hierarchical dynamic causal modeling
by: Jinseok Eo, et al.
Published: (2023-07-01)

A Computational Framework for Controlling the Self-Restorative Brain Based on the Free Energy and Degeneracy Principles
by: Hae-Jeong Park, et al.
Published: (2021-04-01)

Large-scale DCMs for resting-state fMRI
by: Adeel Razi, et al.
Published: (2017-01-01)

Automated diagnosis of ear disease using ensemble deep learning with a big otoendoscopy image databaseResearch in context
by: Dongchul Cha, et al.
Published: (2019-07-01)

A computational framework for optimal control of a self-adjustive neural system with activity-dependent and homeostatic plasticity
by: Jiyoung Kang, et al.
Published: (2021-04-01)

Differential structure-function network coupling in the inattentive and combined types of attention deficit hyperactivity disorder.
by: Dongha Lee, et al.
Published: (2021-01-01)

Differences in Disrupted Dynamic Functional Network Connectivity Among Children, Adolescents, and Adults With Attention Deficit/Hyperactivity Disorder: A Resting-State fMRI Study
by: Elijah Agoalikum, et al.
Published: (2021-10-01)

Effective connectivity within the default mode network: dynamic causal modeling of resting-state fMRI data
by: Maksim eSharaev, et al.
Published: (2016-02-01)

Investigation of Functional Connectivity Differences between Voluntary Respirations via Mouth and Nose Using Resting State fMRI
by: Ju-Yeon Jung, et al.
Published: (2020-10-01)

Diet-Related Disparities and Childcare Food Environments for Vulnerable Children in South Korea: A Mixed-Methods Study
by: Jiyoung Park, et al.
Published: (2023-04-01)

Arousal Contributions to Resting-State fMRI Connectivity and Dynamics
by: Yameng Gu, et al.
Published: (2019-11-01)

An empirical Bayes normalization method for connectivity metrics in resting state fMRI
by: Shuo eChen, et al.
Published: (2015-09-01)

Predicting behavior through dynamic modes in resting-state fMRI data
by: Shigeyuki Ikeda, et al.
Published: (2022-02-01)

Dynamic synergetic configurations of resting-state networks in ADHD
by: Neda Kaboodvand, et al.
Published: (2020-02-01)

Resting-State fMRI Dynamics and Null Models: Perspectives, Sampling Variability, and Simulations
by: Robyn L. Miller, et al.
Published: (2018-09-01)

Resting state functional connectivity correlates of inhibitory control in children with Attention-Deficit/Hyperactivity Disorder
by: Maarten eMennes, et al.
Published: (2012-01-01)

Resting-state fMRI and developmental systems neuroscience
by: Lucina Q Uddin
Published: (2011-02-01)

Sparse DCM for whole-brain effective connectivity from resting-state fMRI data
by: Giulia Prando, et al.
Published: (2020-03-01)

Time of day dependent longitudinal changes in resting-state fMRI
by: Liucija Vaisvilaite, et al.
Published: (2023-07-01)

Sparse Estimation of Resting-State Effective Connectivity From fMRI Cross-Spectra
by: Carolin Lennartz, et al.
Published: (2018-05-01)

Network connectivity in epilepsy: Resting state-fMRI and EEG-fMRI contributions
by: Maria eCenteno, et al.
Published: (2014-07-01)

Estimation and validation of individualized dynamic brain models with resting state fMRI
by: Matthew F. Singh, et al.
Published: (2020-11-01)

Combining Resting-state fMRI and DTI Analysis for Early-onset Schizophrenia
by: Ming Ke, et al.
Published: (2009-12-01)

The spatial structure of resting state connectivity stability on the scale of minutes
by: Javier eGonzalez-Castillo, et al.
Published: (2014-06-01)

Combining fMRI during resting state and an attention bias task in children
by: Anita Harrewijn, et al.
Published: (2020-01-01)

Resting-state fMRI: new possibilities for studying physiology and pathology of the brain
by: E. V. Seliverstova, et al.
Published: (2017-02-01)

Dynamic properties of simulated brain network models and empirical resting-state data
by: Amrit Kashyap, et al.
Published: (2019-02-01)

Signal Fluctuation Sensitivity: an improved metric for optimizing detection of resting-state fMRI networks
by: Daniel J. DeDora, et al.
Published: (2016-05-01)

Age-Related Decline in the Variation of Dynamic Functional Connectivity: A Resting State Analysis
by: Yuanyuan Chen, et al.
Published: (2017-06-01)

Resting-State fMRI to Identify the Brain Correlates of Treatment Response to Medications in Children and Adolescents With Attention-Deficit/Hyperactivity Disorder: Lessons From the CUNMET Study
by: Victor Pereira-Sanchez, et al.
Published: (2021-11-01)

Effect of scanning duration and sample size on reliability in resting state fMRI dynamic causal modeling analysis
by: Liangsuo Ma, et al.
Published: (2024-04-01)

Initial Validation for the Estimation of Resting-State fMRI Effective Connectivity by a Generalization of the Correlation Approach
by: Nan Xu, et al.
Published: (2017-05-01)