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Functional connectivity analysis of fMRI data using parameterized regions-of-interest

Wouter D. Weeda, Lourens J. Waldorp, Raoul P.P.P. Grasman, Simon van Gaal, Hilde M. Huizenga
2011 NeuroImage  
Available online xxxx Connectivity analysis of fMRI data requires correct specification of regions-of-interest (ROIs).  ...  We extend a flexible framework for fMRI analysis (Activated Region Fitting, Weeda et al. 2009 ) to connectivity analysis of fMRI data.  ...  analysis of fMRI data using parameterized regions-of-interest, NeuroImage (2010), doi:10.1016/j.neuroimage.2010.07.022  ... 
doi:10.1016/j.neuroimage.2010.07.022 pmid:20637877 fatcat:v7xdxrgqfzgcdhsle5cnrscxkm

Measuring Brain Connectivity via Shape Analysis of fMRI Time Courses and Spectra [chapter]

David S. Lee, Amber M. Leaver, Katherine L. Narr, Roger P. Woods, Shantanu H. Joshi
2017 Lecture Notes in Computer Science  
We use ideas from differential geometry and functional data analysis to define a functional representation for fMRI signals.  ...  The space of fMRI functions is then equipped with a reparameterization invariant Riemannian metric that enables elastic alignment of both amplitude and phase of the fMRI time courses as well as their power  ...  the analysis of both amplitude and phase changes in fMRI across regions, and lastly iii) the use of group level connectivity analysis for detecting changes in patterns of fMRI connectivity across populations  ... 
doi:10.1007/978-3-319-67159-8_15 pmid:29953126 pmcid:PMC6018059 fatcat:sg3ortdl35dhpmfbc3ght6a74y

Joint Modeling of Anatomical and Functional Connectivity for Population Studies

A. Venkataraman, Y. Rathi, M. Kubicki, C. Westin, P. Golland
2012 IEEE Transactions on Medical Imaging  
Our model identifies significant increases in functional connectivity between the parietal/posterior cingulate region and the frontal lobe and reduced functional connectivity between the parietal/posterior  ...  The method simultaneously infers the templates of latent connectivity for each population and the differences in connectivity between the groups. We demonstrate our method on a schizophrenia study.  ...  The error is averaged over 10 resamplings of the data. The fMRI likelihood parameterization is fixed at and . (a) Anatomical. (b) Functional.  ... 
doi:10.1109/tmi.2011.2166083 pmid:21878411 pmcid:PMC4395500 fatcat:5ku3mmnfr5gojd42rpdkhmekkq

Parameterized hemodynamic response function data of healthy individuals obtained from resting-state functional MRI in a 7T MRI scanner

D. Rangaprakash, Guo-Rong Wu, Daniele Marinazzo, Xiaoping Hu, Gopikrishna Deshpande
2018 Data in Brief  
Functional magnetic resonance imaging (fMRI), being an indirect measure of brain activity, is mathematically defined as a convolution of the unmeasured latent neural signal and the hemodynamic response  ...  function (HRF).  ...  Supporting information Transparency data associated with this Q5 article can be found in the online version at 10.1016/j.dib.2018.01.003.  ... 
doi:10.1016/j.dib.2018.01.003 pmid:29876476 pmcid:PMC5988211 fatcat:4m7x2vx4ejhs7aa2wlpswk6sny

Advances on Medical Imaging and Computing [chapter]

Tianzi Jiang, Xiaobo Li, Gaolong Gong, Meng Liang, Lixia Tian, Fuchun Li, Yong He, Yufeng Zang, Chaozhe Zhu, Shuyu Li, Songyuan Tang
2005 Lecture Notes in Computer Science  
The second part consists of brain connectivity, which includes anatomical connectivity based on diffusion tensor imaging (DTI), functional and effective connectivity with functional magnetic resonance  ...  imaging (fMRI).  ...  Analysis of white matter from DTI is mostly based on region of interesting (ROI) in image data set, which is specified by user.  ... 
doi:10.1007/11569541_3 fatcat:6siqxjm25bdwhekefbndybzkeq

Dynamic causal modelling for fMRI: A two-state model

A.C. Marreiros, S.J. Kiebel, K.J. Friston
2008 NeuroImage  
Dynamical causal modelling (DCM) for functional magnetic resonance imaging (fMRI) is a technique to infer directed connectivity among brain regions.  ...  Critically, this gives us an explicit model of intrinsic (between-population) connectivity within a region.  ...  Introduction Dynamic causal modelling (DCM) for fMRI is a natural extension of the convolution models used in the standard analysis of fMRI .  ... 
doi:10.1016/j.neuroimage.2007.08.019 pmid:17936017 fatcat:g5t453tp3jaihj3krmjcl7jpx4

Dynamic properties of simulated brain network models and empirical resting-state data

Amrit Kashyap, Shella Keilholz
2019 Network Neuroscience  
Previous studies have used simple metrics to characterize coordination between regions such as functional connectivity.  ...  We extend this by applying various different dynamic analysis tools that are currently used to understand empirical resting-state fMRI (rs-fMRI) to the simulated data.  ...  To explain its complexity, studies have used resting-state fMRI (rs-fMRI) scans and functional connectivity (FC) analysis to describe the coordination between different brain regions of interest (ROIs)  ... 
doi:10.1162/netn_a_00070 pmid:30793089 pmcid:PMC6370489 fatcat:foedstzo5nbq7j5rwktwnppxw4

Relating Structural and Functional Connectivity to Performance in a Communication Task [chapter]

Jeffrey T. Duda, Corey McMillan, Murray Grossman, James C. Gee
2010 Lecture Notes in Computer Science  
Functional synchronization of BOLD fMRI signals between frontal and temporal regions connected by the uncinate fasciculus was also found to predict the performance measure.  ...  Multiple regression analysis demonstrated that combining equidimensional measures of functional and structural connectivity identified the network components that most significantly predict performance  ...  Analysis of fMRI For the examination of FC the previously cortical regions were examined. A region-growing process was used to create 5 regions of equal volume.  ... 
doi:10.1007/978-3-642-15745-5_35 fatcat:6vf35ypcl5aajbrp36pw4y6qze

A Window into the Brain: Advances in Psychiatric fMRI

Xiaoyan Zhan, Rongjun Yu
2015 BioMed Research International  
Here we review recent advances in fMRI methods in general use and progress made in understanding the neural basis of mental illness.  ...  Functional magnetic resonance imaging (fMRI) plays a key role in modern psychiatric research.  ...  C10454) and the National Natural Science Foundation of China (no. 31371128) for financial support.  ... 
doi:10.1155/2015/542467 pmid:26413531 pmcid:PMC4564608 fatcat:3hat4unyozdzhgx366jgj2fq2y

A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks

Fani Deligianni, Gael Varoquaux, Bertrand Thirion, David J. Sharp, Christian Ledig, Robert Leech, Daniel Rueckert
2013 IEEE Transactions on Medical Imaging  
Most often, the functional connectivity between a set of regions is described by the covariance matrix, Σ ∈ R n×n , between the time series of the mean activation in the different regions of interest.  ...  Beyond its typical use for mapping taskrelated regions, it reveals intrinsic functional connectivity via spontaneous fluctuations of brain activity [20] , in restingstate fMRI (rs-fMRI) experiments.  ... 
doi:10.1109/tmi.2013.2276916 pmid:23934663 fatcat:26fl7luy6refzfjywvuc3edzvu

Methods for Simultaneous EEG-fMRI: An Introductory Review

R. J. Huster, S. Debener, T. Eichele, C. S. Herrmann
2012 Journal of Neuroscience  
The simultaneous recording and analysis of electroencephalography (EEG) and fMRI data in human systems, cognitive and clinical neurosciences is rapidly evolving and has received substantial attention.  ...  The significance of multimodal brain imaging is documented by a steadily increasing number of laboratories now using simultaneous EEG-fMRI aiming to achieve both high temporal and spatial resolution of  ...  This information was subsequently used for a parameterized analysis For an event of interest (e.g., the occurrence of a response error), a parameter value of an EEG feature (e.g., the amplitude of an ERP  ... 
doi:10.1523/jneurosci.0447-12.2012 pmid:22553012 pmcid:PMC6622140 fatcat:fnemhavinvaajalvheiwb46q4i

Benchmarking functional connectome-based predictive models for resting-state fMRI

Kamalaker Dadi, Mehdi Rahim, Alexandre Abraham, Darya Chyzhyk, Michael Milham, Bertrand Thirion, Gaël Varoquaux
2019 NeuroImage  
For each step we benchmark typical choices: 8 different ways of defining regions -either pre-defined or generated from the rest-fMRI data- 3 measures to build functional connectomes from the extracted  ...  We find that regions defined from functional data work best; that it is beneficial to capture between-region interactions with tangent-based parametrization of covariances, a midway between correlations  ...  Discriminative analysis of resting-state functional connectivity patterns of schizophrenia using low dimensional embedding of fMRI. NeuroImage 49, 3110.  ... 
doi:10.1016/j.neuroimage.2019.02.062 pmid:30836146 fatcat:gyc6jxopp5gihn3alwgrf7zcge

Relating Brain Functional Connectivity to Anatomical Connections: Model Selection [chapter]

Fani Deligianni, Gaël Varoquaux, Bertrand Thirion, Emma Robinson, David J. Sharp, A. David Edwards, Daniel Rueckert
2012 Lecture Notes in Computer Science  
We aim to learn across several subjects a mapping from brain anatomical connectivity to functional connectivity.  ...  We select the appropriate sparsity of the connectivity matrices and demonstrate that choosing an ordering for the MAR that lends to sparser models is more appropriate than a random.  ...  In a population of S subjects, we consider the connectivity between a set of N regions of interest (ROIs).  ... 
doi:10.1007/978-3-642-34713-9_23 fatcat:bmxbnlovnfccbb45tdfu6orv5m

Mirror Neuron System Study On Elderly Using Dynamic Causal Modeling Fmri Analysis

R. Keerativittatayut, B. Kaewkamnerdpong, J. Laothamatas, W. Sungkarat
2011 Zenodo  
Dynamic Causal Modeling (DCM) functional Magnetic Resonance Imaging (fMRI) is a promising technique to study the connectivity among brain regions and effects of stimuli through modeling neuronal interactions  ...  Twenty volunteers were MRI scanned with visual stimuli to study a functional brain network. DCM was employed to determine the mechanism of mirror neuron effects.  ...  Moreover, this research is supported by National Research Council of Thailand (NRCT).  ... 
doi:10.5281/zenodo.1333748 fatcat:s7nzhydvfrcidpebkvgjbtommi

A review of functional magnetic resonance imaging for Brainnetome

Ming Song, Tianzi Jiang
2012 Neuroscience Bulletin  
In the general context of Brainnetome, this review focuses on the development of approaches for modeling and analyzing functional brain networks with BOLD fMRI.  ...  The functional brain network using blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) has revealed the potentials for probing brain architecture, as well as for identifying  ...  Methods of brain network analysis using BOLD fMRI Functional connection is one of the primary topics in studies of functional networks.  ... 
doi:10.1007/s12264-012-1244-4 pmid:22833037 pmcid:PMC5560259 fatcat:sg3xyt6xcvc2xdsjdtrbrbtyly
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