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Simultaneous Estimation of Population Receptive Field and Hemodynamic Parameters from Single Point BOLD Responses using Metropolis-Hastings Sampling [article]

Stanislaw Ryszard Adaszewski, David Slater, Lester Melie-Garcia, Bogdan Draganski, Piotr Bogorodzki
2017 bioRxiv   pre-print
We introduce a new approach to Bayesian Population Receptive Field model estimation using Markov Chain Monte Carlo sampling for simultaneous estimation of receptive field and hemodynamic parameters.  ...  We found that the new algorithm is a valid sampling approach to joint receptive field/hemodynamic parameter estimation and that it exhibits very high performance.  ...  Materials and Methods PRF Model A population receptive field (pRF) is the region of the visual field within which stimuli evoke responses from a local population of neurons.  ... 
doi:10.1101/233619 fatcat:kx3xdd5d4bcejoceclu6at273i

Simultaneous estimation of population receptive field and hemodynamic parameters from single point BOLD responses using Metropolis-Hastings sampling

Stanisław Adaszewski, David Slater, Lester Melie-Garcia, Bogdan Draganski, Piotr Bogorodzki
2018 NeuroImage  
We introduce a new approach to Bayesian pRF model estimation using Markov Chain Monte Carlo (MCMC) sampling for simultaneous estimation of pRF and hemodynamic parameters.  ...  receptive field parameters.  ...  Materials and Methods PRF Model A population receptive field (pRF) is the region of the visual field within which stimuli evoke responses from a local population of neurons.  ... 
doi:10.1016/j.neuroimage.2018.01.047 pmid:29414493 fatcat:des2i7bfdzh7xd42qleinfyaua

Predictive masking is associated with a system-wide reconfiguration of neural populations in the human visual cortex [article]

Joana Carvalho, Remco J Renken, Frans W Cornelissen
2019 bioRxiv   pre-print
To reveal the neural mechanisms underlying this remarkable capacity, known as predictive masking, we used fMRI and neural modeling to track changes in cortical population receptive fields (pRFs) and connectivity  ...  This suggests that a system-wide reconfiguration of neural populations in response to a change in visual input is guided by extrastriate signals and underlies the predictive masking of scotomas.  ...  Adaszewski S, Slater D, Melie-Garcia L, Draganski B, Bogorodzki P (2018) Simultaneous 545 estimation of population receptive field and hemodynamic parameters from single point BOLD 546 responses using  ... 
doi:10.1101/758094 fatcat:q6cxscbs5zf73j2fp6g5sgew24

Principle of structural equation modeling for exploring functional interactivity within a putative network of interconnected brain areas

Giovanni de Marco, Pierre Vrignaud, Christophe Destrieux, Damien de Marco, Sylvie Testelin, Bernard Devauchelle, Patrick Berquin
2009 Magnetic Resonance Imaging  
When applied to the field of neurosciences, structural equation modeling (SEM) uses theoretical and/or empirical hypotheses to estimate the effects of an experimental task within a putative network.  ...  SEM represents a linear technique for multivariate analysis of neuroimaging data and has been developed to simultaneously examine ratios of multiple causality in an experimental design; the method attempts  ...  Recent developments in the use of Bayesian algorithm (Markov Chain Monte Carlo with Gibbs sampler and/or Metropolis Hastings) to estimate SEM parameters have proved to give consistent estimations even  ... 
doi:10.1016/j.mri.2008.05.003 pmid:18584986 fatcat:7tllqdxg5jdhfmoldrhj5je274