A posteriori model validation for the temporal order of directed functional connectivity maps
dc.contributor.author | Beltz, Adriene | |
dc.contributor.author | Molenaar, Peter | |
dc.date.accessioned | 2016-08-24T21:06:12Z | |
dc.date.available | 2016-08-24T21:06:12Z | |
dc.date.issued | 2015-08-27 | |
dc.identifier.citation | Beltz AMandMolenaarPCM(2015)A posteriori modelvalidationforthe temporalorderofdirectedfunctional connectivity maps. Front. Neurosci.9:304. doi: 10.3389/fnins.2015.00304 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/123045 | |
dc.description.abstract | A posteriori model validation for the temporal order of neural directed functional connectivity maps is rare. This is striking because models that require sequential independence among residuals are regularly implemented. The aim of the current study was (a) to apply to directed functional connectivity maps of functional magnetic resonance imaging data an a posteriori model validation procedure (i.e., white noise tests of one-step-ahead prediction errors combined with decision criteria for revising the maps based upon Lagrange Multiplier tests), and (b) to demonstrate how the procedure applies to single-subject simulated, single-subject task-related, and multi-subject resting state data. Directed functional connectivity was determined by the unified structural equation model family of approaches in order to map contemporaneous and first order lagged connections among brain regions at the group- and individual-levels while incorporating external input, then white noise tests were run. Findings revealed that the validation procedure successfully detected unmodeled sequential dependencies among residuals and recovered higher order (greater than one) simulated connections, and that the procedure can accommodate task-related input. Findings also revealed that lags greater than one were present in resting state data: With a group-level network that contained only contemporaneous and first order connections, 44% of subjects required second order, individual-level connections in order to obtain maps with white noise residuals. Results have broad methodological relevance (e.g., temporal validation is necessary after directed functional connectivity analyses because the presence of unmodeled higher order sequential dependencies may bias parameter estimates) and substantive implications (e.g., higher order lags may be common in resting state data). | en_US |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | Volume 9 Article 304 | en_US |
dc.subject | a posteriori model validation | en_US |
dc.subject | directed functional connectivity | en_US |
dc.subject | neuroimaging | en_US |
dc.subject | structural vector autoregression | en_US |
dc.subject | temporal order | en_US |
dc.subject | unified structural equation modeling | en_US |
dc.title | A posteriori model validation for the temporal order of directed functional connectivity maps | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Psychology | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Psychology, Department of | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/123045/1/Beltz,Molenaar. A posteriori model validation for the temporal order of directed functional connectivity maps..pdf | |
dc.identifier.source | Frontiers in Neuroscience | en_US |
dc.owningcollname | Psychology, Department of |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.