Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics

V Sip, M Hashemi, T Dickscheid, K Amunts… - Science …, 2023 - science.org
Model-based data analysis of whole-brain dynamics links the observed data to model
parameters in a network of neural masses. Recently, studies focused on the role of regional …

Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics

V Sip, M Hashemi, T Dickscheid, K Amunts… - Science …, 2023 - hal.laas.fr
Model-based data analysis of whole-brain dynamics links the observed data to model
parameters in a network of neural masses. Recently, studies focused on the role of regional …

Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics

V Sip, M Hashemi, T Dickscheid, K Amunts… - Science …, 2023 - hal.science
Model-based data analysis of whole-brain dynamics links the observed data to model
parameters in a network of neural masses. Recently, studies focused on the role of regional …

Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics

V Sip, M Hashemi, T Dickscheid… - Science …, 2023 - pubmed.ncbi.nlm.nih.gov
Model-based data analysis of whole-brain dynamics links the observed data to model
parameters in a network of neural masses. Recently, studies focused on the role of regional …

Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics

V Sip, M Hashemi, T Dickscheid, K Amunts… - Science …, 2023 - amu.hal.science
Model-based data analysis of whole-brain dynamics links the observed data to model
parameters in a network of neural masses. Recently, studies focused on the role of regional …

[PDF][PDF] Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics

V Sip, M Hashemi, T Dickscheid, K Amunts, S Petkoski… - 2023 - juser.fz-juelich.de
One avenue for analysis of resting-state functional magnetic resonance imaging (fMRI) is the
use of computational models of large-scale brain network dynamics (1, 2). A general goal of …

Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics

V Sip, M Hashemi, T Dickscheid, K Amunts… - Science …, 2023 - ui.adsabs.harvard.edu
Abstract Model-based data analysis of whole-brain dynamics links the observed data to
model parameters in a network of neural masses. Recently, studies focused on the role of …

Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics

V Sip, M Hashemi, T Dickscheid, K Amunts… - Science …, 2023 - europepmc.org
Abstract Model-based data analysis of whole-brain dynamics links the observed data to
model parameters in a network of neural masses. Recently, studies focused on the role of …

[HTML][HTML] Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics

V Sip, M Hashemi, T Dickscheid, K Amunts… - Science …, 2023 - ncbi.nlm.nih.gov
Abstract Model-based data analysis of whole-brain dynamics links the observed data to
model parameters in a network of neural masses. Recently, studies focused on the role of …

[PDF][PDF] Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics

V Sip, M Hashemi, T Dickscheid, K Amunts, S Petkoski… - 2023 - amu.hal.science
One avenue for analysis of resting-state functional magnetic resonance imaging (fMRI) is the
use of computational models of large-scale brain network dynamics (1, 2). A general goal of …