Sokunbi, Moses OCameron, George GAhearn, Trevor SMurray, Alison DStaff, Roger T2016-02-012016-02-012015-11Sokunbi, 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.2015.09.0011350-4533ORCID: /0000-0003-4915-4847/work/44018554http://hdl.handle.net/2164/5468Acknowledgment 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 G1100629.9278016engageingblood oxygen level dependent (BOLD)complexityfuzzy approximate entropy (fApEn)resting state-functional magnetic resonance imaging (rs-fMRI)sample entropy (SampEn)TA Engineering (General). Civil engineering (General)Medical Research Council (MRC)G1100629TAJournal article10.1016/j.medengphy.2015.09.0013711