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A generative model of whole-brain effective connectivity
2018
NeuroImage
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A generative model of whole-brain effective connectivity. NeuroImage, 179(1):505-529. ...
The development of whole-brain models that can infer effective (directed) connection strengths from fMRI data represents a central challenge for computational neuroimaging. ...
Estimates of effective connectivity typically derive from a generative model that provides a forward mapping from hidden (latent) neuronal circuit dynamics to observable brain signals . ...
doi:10.1016/j.neuroimage.2018.05.058
pmid:29807151
fatcat:hsczojmxvrhw5ceumn54v6xxaq
A generative model of whole-brain effective connectivity
2018
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The development of whole-brain models that can infer effective (directed) connection strengths from fMRI data represents a central challenge for computational neuroimaging. ...
This demonstrates the feasibility of whole-brain inference on effective connectivity from fMRI datain single subjects and with a run-time below 1 min when using parallelized code. ...
Estimates of effective connectivity typically derive from a generative model that provides a forward mapping from hidden (latent) neuronal circuit dynamics to observable brain signals (Friston et al., ...
doi:10.3929/ethz-b-000275013
fatcat:ta2yvyoa35fhbli3yakcgwqeme
Mapping how local perturbations influence systems-level brain dynamics
2017
NeuroImage
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2016 pre-print arXiv:1609.00491v1 fatcat:7tawuut6gndhtgojtaegtfqpeu
We then systematically analyze a model of large-scale brain dynamics, assessing how localized changes in brain activity at the different sites affect whole-brain dynamics. ...
Our results highlight the importance of a periphery-to-core hierarchy to determine the effect of local stimulation on the brain network. ...
Acknowledgments This work was supported by the Australian Research Council Centre of Excellence for Integrative Brain Function (ARC Centre Grant CE140100007) (JR) and the National Health and Medical Research ...
doi:10.1016/j.neuroimage.2017.01.057
pmid:28126550
fatcat:u4xa2g3sv5hotdnf55fo4hbtqi
Analysis of brain subnetworks within the context of their whole‐brain networks
2019
Human Brain Mapping
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We also provide a multivariate mixed-effects modeling framework that allows analyzing subnetworks within the context of their whole-brain networks, and show that it can better disentangle global (whole-brain ...
The provided multivariate model is an extension of a previously developed model for global, system-level hypotheses about the brain. ...
The authors would like to thank Robert Lyday for generous computer assistance. ...
doi:10.1002/hbm.24762
pmid:31441167
pmcid:PMC6865778
fatcat:kxuw7szj4zgfnecmfqg2mgycrm
A deconvolution-based approach to identifying large-scale effective connectivity
2015
Magnetic Resonance Imaging
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We then validated the ability for the proposed method to reliably detect effective connectivity in whole-brain fMRI signal parcellated into networks of viable size. ...
We then test, both in simulation as well as whole-brain fMRI BOLD signal, the viability of this approach. ...
Acknowledgements This work was supported in part by National Institutes of Health grants R21MH097784-01 and R01DA036360-01 as well as by as the National Science Foundation grants CRI CNS-0855248 and MRI ...
doi:10.1016/j.mri.2015.07.015
pmid:26248273
pmcid:PMC4658309
fatcat:aa3adnv7mzaxfpmgxgmgpnpxge
Whole-Brain Multimodal Neuroimaging Model Using Serotonin Receptor Maps Explains Non-linear Functional Effects of LSD
2018
Current Biology
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Highlights d Causal whole-brain model integrating neurotransmitter data and brain dynamics d This explains the functional effects of serotonin 2A receptor stimulation with LSD d Non-linear effects of specific ...
brainwide distribution of neurotransmitter density d Exciting possibilities for drug discovery and design in neuropsychiatric disorders Authors ...
Results of Whole-Brain Model of Placebo and Explaining Effects of LSD with 5HT 2A Modulation of Gain Function (A) Whole-brain fitting of the placebo condition shows the fit of grand average functional ...
doi:10.1016/j.cub.2018.07.083
fatcat:zyymvah2uneipcmdgeowte7z5u
Understanding principles of integration and segregation using whole-brain computational connectomics: implications for neuropsychiatric disorders
2017
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
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One contribution of 14 to a theme issue 'Mathematical methods in medicine: neuroscience, cardiology and pathology'. describe how the emerging discipline of whole-brain computational connectomics may be ...
We emphasize how novel methods from network science and whole-brain computational modelling can expand beyond traditional neuroimaging paradigms and help to uncover the neurobiological determinants of ...
Investigating disease mechanisms with whole-brain computational modelling (a) Overview of whole-brain computational models The main premise of whole-brain computational models comes from statistical physics ...
doi:10.1098/rsta.2016.0283
pmid:28507228
pmcid:PMC5434074
fatcat:ybywypbpevey7fvbiuzuqeceju
Great Expectations: Using Whole-Brain Computational Connectomics for Understanding Neuropsychiatric Disorders
2014
Neuron
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This raises great expectations that whole-brain modeling and computational connectomics may provide an entry point for understanding brain disorders at a causal mechanistic level, and that computational ...
Here our focus is on the disruption in neuropsychiatric disorders (pathoconnectomics) and how whole-brain computational models can help generate and predict the dynamical interactions and consequences ...
The research reported herein was supported by the Brain Network Recovery Group through the James S. McDonnell Foundation. ...
doi:10.1016/j.neuron.2014.08.034
pmid:25475184
fatcat:kx7rohtyljc7heuahmvoqyorgq
The Effect of Aging on Brain Glucose Metabolic Connectivity Revealed by [18F]FDG PET-MR and Individual Brain Networks
2022
Frontiers in Aging Neuroscience
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Contrary to group-based brain connectivity analyses, the aim of this study was to construct individual brain metabolic networks to determine age-related effects on brain metabolic connectivity. ...
After constructing individual brain networks, a linear and quadratic regression analysis of metabolic connectivity strengths within- and between-networks was performed to model age-dependency. ...
To assess brain connectivity, graph theoretical methods are generally applied which model the brain using a weighted, undirected graph. ...
doi:10.3389/fnagi.2021.798410
pmid:35221983
pmcid:PMC8865456
fatcat:zvvq3cuvunba7kgfgmryga47iu
Effective connectivity analysis of global and local mental imagery by dynamic causal modeling
2008
BMC Neuroscience
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Our results indicated a distinct neural pathway or effective connectivity existed in the processing of generation of global and local imagery. ...
Effective connectivity is parameterized in terms of coupling among unobserved brain states. ...
Acknowledgements This work was supported in part by National Natural Science Foundation of China Grant 30670699, Ministry of Education Grant NCET-06-0277 and 021010. ...
doi:10.1186/1471-2202-9-s1-p34
fatcat:hyszbne53ze2bpymp2456avnoq
Socioeconomic Resources are Associated with Distributed Alterations of the Brain's Intrinsic Functional Architecture in Youth
[article]
2022
bioRxiv
pre-print
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: whole-brain, network-wise, and connection-wise. ...
We found that parental education was the primary driver of neural effects of SER, with notable concentrations in somatosensory and subcortical regions. ...
A listing of participating sites and a complete listing of the study investigators can be found at https://abcdstudy.org/principal-investigators.html. ...
doi:10.1101/2022.06.07.495160
fatcat:sti3wi4cjzboveddsrkiy5bpda
Accelerating The Virtual Brain with code generation and GPU computing
2013
BMC Neuroscience
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has lead to the development of a whole-brain simulator, built within a freely available neuroinformatics platform called the Virtual Brain (TVB) [1] [2] [3] . ...
of finite conduction velocities in the brain connectivity in TVB, the models remain computationally expensive. ...
has lead to the development of a whole-brain simulator, built within a freely available neuroinformatics platform called the Virtual Brain (TVB) [1] [2] [3] . ...
doi:10.1186/1471-2202-14-s1-p198
pmcid:PMC3704623
fatcat:gn4rp7de4jb27lxwzs5gw3xuzi
State-Dependent Effective Connectivity in Resting-State fMRI
2021
Frontiers in Neural Circuits
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We decomposed the state-dependent effective connectivity using a parametric empirical Bayes scheme that models the effective connectivity of consecutive windows with the time course of the discrete states ...
We showed the plausibility of the state-dependent effective connectivity analysis in a simulation setting. ...
of the whole-brain connectivity. ...
doi:10.3389/fncir.2021.719364
pmid:34776875
pmcid:PMC8579116
fatcat:ulsmgceazzha5fb5ica2gqme6u
Whole-brain estimates of directed connectivity for human connectomics
[article]
2020
bioRxiv
pre-print
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Here, using a motor task at 7T, we demonstrate that a novel generative model can infer known connectivity features in a whole-brain network (>200 regions, >40,000 connections) highly efficiently. ...
By contrast, whole-brain estimates of effective (directed) connectivity are computationally challenging, and emerging methods require empirical validation. ...
Inversion of a large-scale circuit model reveals a cortical hierarchy in Frässle, S. et al. A generative model of whole-brain effective connectivity. ...
doi:10.1101/2020.02.20.958124
fatcat:kqfbxtnmifbvbgrtjsarbnn7ci
Whole-brain estimates of directed connectivity for human connectomics
2020
NeuroImage
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Here, using a motor task at 7T, we demonstrate that a novel generative model can infer known connectivity features in a whole-brain network (>200 regions, >40,000 connections) highly efficiently. ...
By contrast, whole-brain estimates of effective (directed) connectivity are computationally challenging, and emerging methods require empirical validation. ...
We confirm that we have provided a current, correct email address which is accessible by the Corresponding Author. ...
doi:10.1016/j.neuroimage.2020.117491
pmid:33115664
fatcat:ecmo2rig3fdb7jywmal3sdxofq
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