Making Large-Scale Networks from fMRI Data

PloS One
Verena D SchmittmannLourens J Waldorp

Abstract

Pairwise correlations are currently a popular way to estimate a large-scale network (> 1000 nodes) from functional magnetic resonance imaging data. However, this approach generally results in a poor representation of the true underlying network. The reason is that pairwise correlations cannot distinguish between direct and indirect connectivity. As a result, pairwise correlation networks can lead to fallacious conclusions; for example, one may conclude that a network is a small-world when it is not. In a simulation study and an application to resting-state fMRI data, we compare the performance of pairwise correlations in large-scale networks (2000 nodes) against three other methods that are designed to filter out indirect connections. Recovery methods are evaluated in four simulated network topologies (small world or not, scale-free or not) in scenarios where the number of observations is very small compared to the number of nodes. Simulations clearly show that pairwise correlation networks are fragmented into separate unconnected components with excessive connectedness within components. This often leads to erroneous estimates of network metrics, like small-world structures or low betweenness centrality, and produces too many ...Continue Reading

References

Jun 12, 1998·Nature·D J Watts, S H Strogatz
Oct 16, 1999·Science·A L Barabasi, R Albert
Nov 5, 1999·NeuroImage·K J FristonA M Dale
Mar 23, 2002·Physical Review Letters·Jörn DavidsenStefan Bornholdt
Oct 23, 2002·Human Brain Mapping·Stephen M Smith
Aug 10, 2005·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Pedro A Valdés-SosaErick Canales-Rodríguez
May 2, 2006·Statistical Applications in Genetics and Molecular Biology·Juliane Schäfer, Korbinian Strimmer
Sep 2, 2006·Proceedings of the National Academy of Sciences of the United States of America·J S DamoiseauxC F Beckmann
Mar 21, 2007·NeuroImage·Randy L Buckner, Justin L Vincent
Dec 15, 2007·Biostatistics·Jerome FriedmanRobert Tibshirani
Apr 12, 2008·Cerebral Cortex·Michael D GreiciusRobert F Dougherty
Jul 4, 2008·PLoS Biology·Patric HagmannOlaf Sporns
Feb 4, 2009·Proceedings of the National Academy of Sciences of the United States of America·C J HoneyP Hagmann
Feb 5, 2009·Nature Reviews. Neuroscience·Ed Bullmore, Olaf Sporns
Jun 12, 2009·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Martijn P van den HeuvelHilleke E Hulshoff Pol
Jul 22, 2009·PLoS Biology·Kaustubh SupekarVinod Menon
Dec 2, 2009·Frontiers in Neuroinformatics·David MeunierEdward T Bullmore
May 18, 2010·European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology·Martijn P van den Heuvel, Hilleke E Hulshoff Pol
Sep 8, 2010·NeuroImage·Stephen M SmithMark W Woolrich
Dec 7, 2010·Annual Review of Clinical Psychology·Edward T Bullmore, Danielle S Bassett
Jan 22, 2011·Annals of the New York Academy of Sciences·Olaf Sporns
Jun 30, 2011·Frontiers in Neuroinformatics·Stephan GerhardPatric Hagmann
Sep 13, 2011·Current Opinion in Neurobiology·Timothy E J Behrens, Olaf Sporns
Oct 18, 2011·Journal of Neuroscience Methods·Leila CammounPatric Hagmann
Feb 22, 2012·NeuroImage·Andrew ZaleskyEd Bullmore
Jan 1, 2011·Brain Connectivity·Qawi K TelesfordPaul J Laurienti
Apr 16, 2013·NeuroImage·Gaël Varoquaux, R Cameron Craddock

❮ Previous
Next ❯

Citations

Jun 22, 2016·Biostatistics·Eugen PircalabeluLourens J Waldorp
Nov 12, 2019·Cerebral Cortex·Sara JahfariTomas Knapen
Jan 29, 2019·Personality & Social Psychology Bulletin·Mark J BrandtDanny Osborne

❮ Previous
Next ❯

Software Mentioned

connectome viewer
Freesurfer
FSL FMRIB
qgraph
R
igraph
MCFLIRT
package corpcor
FEAT ( FMRI Expert Analysis Tool )
Rpackage igraph

Related Concepts

Related Feeds

Autism

Autism spectrum disorder is associated with challenges with social skills, repetitive behaviors, and often accompanied by sensory sensitivities and medical issues. Here is the latest research on autism.