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Inferring functional connectivity using spatial modulation measures of fMRI signals within brain regions of interest

Bernard Ng, Rafeef Abugharbieh, Martin J. McKeown
2008 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro  
We propose inferring functional connectivity between brain regions by examining the spatial modulation of the blood oxygen level dependent (BOLD) signals within brain regions of interest (ROIs).  ...  Thus, our results suggest that intensity is not the only coactivating feature in fMRI data. Instead, spatial modulations may also be used for inferring functional connectivity.  ...  In this paper, we propose characterizing the modulations in spatial variance of BOLD signals within different ROIs to infer functional connectivity between brain regions.  ... 
doi:10.1109/isbi.2008.4541060 dblp:conf/isbi/NgAM08 fatcat:67xbxinu3bblrgvkcffaoqkwza

A Window into the Brain: Advances in Psychiatric fMRI

Xiaoyan Zhan, Rongjun Yu
2015 BioMed Research International  
organization of functional communication throughout the brain network.  ...  Here we review recent advances in fMRI methods in general use and progress made in understanding the neural basis of mental illness.  ...  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

Modeling of Circuits within Networks by fMRI

G. de Marco, A. le Pellec
2010 Wireless Sensor Network  
In this review, the authors describe the most recent functional imaging approaches used to explore and identify circuits within networks and model spatially and anatomically interconnected regions.  ...  After defining the concept of functional and effective connectivity, the authors describe various methods of identification and modeling of circuits within networks.  ...  methods to spatially identify circuits within networks in the brain.  ... 
doi:10.4236/wsn.2010.23028 fatcat:uqudzrg23nhmjosonbw6tptx5q

Hierarchical Graphical Model for Learning Functional Network Determinants [chapter]

Emanuele Aliverti, Laura Forastiere, Tullia Padellini, Sally Paganin, Ernst Wit
2018 Springer Proceedings in Mathematics & statistics  
Acknowledgements The authors are grateful to the organizing committee of StartUp Research Lucia Paci, Antonio Canale, Daniele Durante and Bruno Scarpa for giving them the opportunity to take on such an  ...  The authors also wish to thank Greg Kiar and Eric Bridgeford from NeuroData at Johns Hopkins University, for pre-processing and providing the raw DTI and R-fMRI, and the the other participants to Start-Up  ...  For each subject i = 1,...,22, fMRI signals referred to v = 1,...,70 regions of interest (ROI) of the brain were collected at t = 1,...,404 equally spaced times, with a time span between measurements of  ... 
doi:10.1007/978-3-030-00039-4_2 fatcat:m3gqu55mzzca5hercf4fm6q4uu

Functional Neuroimaging in Traumatic Brain Injury: From Nodes to Networks

John D. Medaglia
2017 Frontiers in Neurology  
To this end, this review concerns the use of fMRI to understand basic cognitive function and dysfunction in the human brain scaling from emphasis on basic units (or "nodes") in the brain to interactions  ...  within and between brain networks.  ...  BOLD measurements often include signal amplitude or measures of functional connectivity at the voxel or region level.  ... 
doi:10.3389/fneur.2017.00407 pmid:28883806 pmcid:PMC5574370 fatcat:zya4wre4b5cj5hi6v2rig4kdhy

Multimodal Functional Neuroimaging: Integrating Functional MRI and EEG/MEG

Bin He, Zhongming Liu
2008 IEEE Reviews in Biomedical Engineering  
Combining fMRI and EEG/MEG data allows us to study brain function from different perspectives.  ...  Finally, we summarize important remaining issues and perspectives concerning multimodal functional neuroimaging, including brain connectivity imaging.  ...  Imaging Brain Functional Connectivity One of the important applications of the multimodal fMRI-EEG/MEG imaging lies in imaging brain functional connectivity.  ... 
doi:10.1109/rbme.2008.2008233 pmid:20634915 pmcid:PMC2903760 fatcat:6hogffiwvrbonmxn2swkyqstde

Methods and Considerations for Dynamic Analysis of Functional MR Imaging Data

Jingyuan E. Chen, Mikail Rubinov, Catie Chang
2017 Neuroimaging clinics of North America  
The resulting fMRI signals are attributed largely to the spontaneous, or intrinsic, activity of the brain 2 .  ...  Synopsis Functional MRI studies have recently begun to examine spontaneous changes in inter-regional interactions (functional connectivity) over seconds to minutes, and their relation to natural shifts  ...  In practice, functional connectivity is inferred from fMRI data by quantifying statistical associations between BOLD signal fluctuations extracted from two or more brain regions.  ... 
doi:10.1016/j.nic.2017.06.009 pmid:28985928 pmcid:PMC5679015 fatcat:ufp4s2ygzzb5hpcizdf324g2di

Design and analysis of fMRI studies with neurologically impaired patients

Cathy J. Price, Jenny Crinion, Karl J. Friston
2006 Journal of Magnetic Resonance Imaging  
Spatial normalization in patients with abnormal brains can be improved by reducing the impact of nonlinear transformations across the whole brain or specifically in the region of interest (ROI) using cost-function  ...  Spatial Smoothing To increase the signal-to-noise ratio (SNR), validate the use of parametric statistical tests, and fulfill the lattice assumption of random field theory, fMRI data must be smoothed spatially  ... 
doi:10.1002/jmri.20580 pmid:16649208 fatcat:o76hu2ls5rayzoonjkxcegyitm

Repetition suppression: a means to index neural representations using BOLD?

Helen C. Barron, Mona M. Garvert, Timothy E. J. Behrens
2016 Philosophical Transactions of the Royal Society of London. Biological Sciences  
There is therefore an imperative to establish non-invasive tools that allow human brain activity to be measured at high spatial and temporal resolution.  ...  In recent years, various attempts have been made to refine the coarse signal available in functional magnetic resonance imaging (fMRI), providing a means to investigate neural activity at the meso-scale  ...  The appropriate choice of fMRI repetition time-lag may depend on the precise brain region of interest.  ... 
doi:10.1098/rstb.2015.0355 pmid:27574308 pmcid:PMC5003856 fatcat:wxw6ovu7pjcjzdzykebwu44fd4

NeuroMath: Advanced Methods for the Estimation of Human Brain Activity and Connectivity

Laura Astolfi, Andrzej Cichocki, Fabio Babiloni
2009 Computational Intelligence and Neuroscience  
Hence, fMRI responses and cortical sources of EEG/MEG data can be spatially related, and the fMRI information can be used as a priori in the solution of the inverse problem.  ...  This results in an increase in the local hemodynamic response that can be measured by functional magnetic resonance images (fMRIs).  ...  This results in an increase in the local hemodynamic response that can be measured by functional magnetic resonance images (fMRIs).  ... 
doi:10.1155/2009/275638 pmid:19859564 pmcid:PMC2763412 fatcat:7ksbh55djzdzbencn4teakwv7y

Dynamic causal modelling for functional near-infrared spectroscopy

S. Tak, A.M. Kempny, K.J. Friston, A.P. Leff, W.D. Penny
2015 NeuroImage  
Although there is great interest in using fNIRS to study brain connectivity, current methods are unable to infer the directionality of neuronal connections.  ...  These results are consistent with findings of previous functional magnetic resonance imaging (fMRI) studies, suggesting that the proposed method enables one to infer directed interactions in the brain  ...  The models also differ in which connections are modulated by motor imagery: modulation of intrinsic (within-region) connectivity, modulation of extrinsic (between-region) connectivity, and modulation of  ... 
doi:10.1016/j.neuroimage.2015.02.035 pmid:25724757 pmcid:PMC4401444 fatcat:2qu6lheip5g45bbnxj5twsyzem

What We Know About the Brain Structure–Function Relationship

Karla Batista-García-Ramó, Caridad Fernández-Verdecia
2018 Behavioral Sciences  
Even though simulations of the intrinsic neural activity based on anatomical connectivity can reproduce much of the observed patterns of empirical functional connectivity, future models should be multifactorial  ...  How the human brain works is still a question, as is its implication with brain architecture: the non-trivial structure-function relationship.  ...  Pearson correlation coefficient between the time series of different regions is the most used functional measure.  ... 
doi:10.3390/bs8040039 pmid:29670045 pmcid:PMC5946098 fatcat:nahupzt2enfarcaa5ju3qrbbwm

Modern Methods for Interrogating the Human Connectome

Mark J. Lowe, Ken E. Sakaie, Erik B. Beall, Vince D. Calhoun, David A. Bridwell, Mikail Rubinov, Stephen M. Rao
2016 Journal of the International Neuropsychological Society  
techniques used to measure functional and structural connectivity, including resting state functional MRI, diffusion MRI, and electroencephalography and magnetoencephalography coherence.  ...  Modern neuroimaging techniques have expanded the scientific interest in the study of brain connectivity to include the intact as well as disordered brain.Methods:In this review, we describe the most common  ...  Department of Defense (W81XWH-10-1-0609), and CHDI Foundation.  ... 
doi:10.1017/s1355617716000060 pmid:26888611 pmcid:PMC4827018 fatcat:kx3kjuue5retbjr3klnnj6ziq4

Tracking brain arousal fluctuations with fMRI

Catie Chang, David A. Leopold, Marieke Louise Schölvinck, Hendrik Mandelkow, Dante Picchioni, Xiao Liu, Frank Q. Ye, Janita N. Turchi, Jeff H. Duyn
2016 Proceedings of the National Academy of Sciences of the United States of America  
Such a measure, and the associated pattern of fMRI signal changes, could be leveraged to delineate cognitive and clinical variables of interest more sensitively and to infer arousal-driven behavioral variability  ...  We first characterize the spatial distribution of fMRI signal fluctuations that track a measure of behavioral arousal; taking this pattern as a template, and using the local field potential as a simultaneous  ...  This research was supported in part by the Intramural Research Programs of the National Institute of Neurological Disorders and Stroke and the National Institute of Mental Health, National Institutes of  ... 
doi:10.1073/pnas.1520613113 pmid:27051064 pmcid:PMC4843437 fatcat:3qyahg5navdzjka6ejqbfvkbmi

Spontaneous Neural Dynamics and Multi-scale Network Organization

Brett L. Foster, Biyu J. He, Christopher J. Honey, Karim Jerbi, Alexander Maier, Yuri B. Saalmann
2016 Frontiers in Systems Neuroscience  
patterns and the structural network architecture of functional brain circuits.  ...  We emphasize invasive electrophysiological measurements, which are amenable to amplitude-and phasebased analyses, and which can report variations in connectivity with high spatiotemporal precision.  ...  Electrophysiological measurements will assist us in moving beyond the question of whether two regions are functionally connected to a description of how two regions are interacting.  ... 
doi:10.3389/fnsys.2016.00007 pmid:26903823 pmcid:PMC4746329 fatcat:tlaydadeczem5nan5jgwp3a574
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