dc.contributor.author | Sokunbi, Moses O | |
dc.contributor.author | Cameron, George G | |
dc.contributor.author | Ahearn, Trevor S | |
dc.contributor.author | Murray, Alison D | |
dc.contributor.author | Staff, Roger T | |
dc.date.accessioned | 2016-02-01T15:28:03Z | |
dc.date.available | 2016-02-01T15:28:03Z | |
dc.date.issued | 2015-11 | |
dc.identifier.citation | Sokunbi , M O , Cameron , G G , Ahearn , T S , Murray , A D & Staff , R T 2015 , ' Fuzzy approximate entropy analysis of resting state fMRI signal complexity across the adult life span ' , Medical Engineering & Physics , vol. 37 , no. 11 , pp. 1082-1090 . https://doi.org/10.1016/j.medengphy.2015.09.001 | en |
dc.identifier.issn | 1350-4533 | |
dc.identifier.other | PURE: 57705902 | |
dc.identifier.other | PURE UUID: c6ba9cbe-4547-42dc-9191-7f14ae2b77e3 | |
dc.identifier.other | Scopus: 84960434526 | |
dc.identifier.other | PubMed: 26475494 | |
dc.identifier.other | ORCID: /0000-0003-4915-4847/work/44018554 | |
dc.identifier.uri | http://hdl.handle.net/2164/5468 | |
dc.description | Acknowledgment The authors would like to acknowledge the work of the International Consortium for Brain Mapping (ICBM) fMRI community in creating the resting state database and making it publicly available within the framework of the 1000 Functional Connectomes project (https://www.nitrc.org/projects/fcon_1000/). M.O. Sokunbi was supported by an MRC grant G1100629. | en |
dc.format.extent | 9 | |
dc.language.iso | eng | |
dc.relation.ispartof | Medical Engineering & Physics | en |
dc.subject | ageing | en |
dc.subject | blood oxygen level dependent (BOLD) | en |
dc.subject | complexity | en |
dc.subject | fuzzy approximate entropy (fApEn) | en |
dc.subject | resting state-functional magnetic resonance imaging (rs-fMRI) | en |
dc.subject | sample entropy (SampEn) | en |
dc.subject | TA Engineering (General). Civil engineering (General) | en |
dc.subject | Medical Research Council (MRC) | en |
dc.subject | G1100629 | en |
dc.subject.lcc | TA | en |
dc.title | Fuzzy approximate entropy analysis of resting state fMRI signal complexity across the adult life span | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Applied Medicine | en |
dc.contributor.institution | University of Aberdeen.Institute of Medical Sciences | en |
dc.contributor.institution | University of Aberdeen.Aberdeen Biomedical Imaging Centre | en |
dc.contributor.institution | University of Aberdeen.Medical Sciences | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Preprint | en |
dc.identifier.doi | https://doi.org/10.1016/j.medengphy.2015.09.001 | |