[HTML][HTML] On the intersection between data quality and dynamical modelling of large-scale fMRI signals
Large-scale dynamics of the brain are routinely modelled using systems of nonlinear
dynamical equations that describe the evolution of population-level activity, with distinct …
dynamical equations that describe the evolution of population-level activity, with distinct …
Dynamic properties of simulated brain network models and empirical resting-state data
A Kashyap, S Keilholz - Network Neuroscience, 2019 - direct.mit.edu
Brain network models (BNMs) have become a promising theoretical framework for
simulating signals that are representative of whole-brain activity such as resting-state fMRI …
simulating signals that are representative of whole-brain activity such as resting-state fMRI …
Brain network constraints and recurrent neural networks reproduce unique trajectories and state transitions seen over the span of minutes in resting-state fMRI
A Kashyap, S Keilholz - Network Neuroscience, 2020 - direct.mit.edu
Large-scale patterns of spontaneous whole-brain activity seen in resting-state functional
magnetic resonance imaging (rs-fMRI) are in part believed to arise from neural populations …
magnetic resonance imaging (rs-fMRI) are in part believed to arise from neural populations …
[HTML][HTML] Dynamics of large-scale fMRI networks: Deconstruct brain activity to build better models of brain function
FI Karahanoğlu, D Van De Ville - Current Opinion in Biomedical …, 2017 - Elsevier
Ongoing fluctuations of brain activity measured by functional magnetic resonance imaging
(fMRI) provide a novel window onto the organizational principles of brain function. Advances …
(fMRI) provide a novel window onto the organizational principles of brain function. Advances …
Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics
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 …
parameters in a network of neural masses. Recently, studies focused on the role of regional …
Nonparametric modeling of dynamic functional connectivity in fMRI data
Dynamic functional connectivity (FC) has in recent years become a topic of interest in the
neuroimaging community. Several models and methods exist for both functional magnetic …
neuroimaging community. Several models and methods exist for both functional magnetic …
A scalable multi-resolution spatio-temporal model for brain activation and connectivity in fMRI data
Summary Functional Magnetic Resonance Imaging (fMRI) is a primary modality for studying
brain activity. Modeling spatial dependence of imaging data at different spatial scales is one …
brain activity. Modeling spatial dependence of imaging data at different spatial scales is one …
[HTML][HTML] Data and model considerations for estimating time-varying functional connectivity in fMRI
Functional connectivity (FC) in the brain has been shown to exhibit subtle but reliable
modulations within a session. One way of estimating time-varying FC is by using state-based …
modulations within a session. One way of estimating time-varying FC is by using state-based …
Analytical operations relate structural and functional connectivity in the brain
Resting-state large-scale brain models vary in the amount of biological elements they
incorporate and in the way they are being tested. One might expect that the more realistic …
incorporate and in the way they are being tested. One might expect that the more realistic …
The identification of interacting networks in the brain using fMRI: model selection, causality and deconvolution
Functional magnetic resonance imaging (fMRI) is increasingly used to study functional
connectivity in large-scale brain networks that support cognitive and perceptual processes …
connectivity in large-scale brain networks that support cognitive and perceptual processes …