Fuzzy approximate entropy analysis of resting state fMRI signal complexity across the adult life span.

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第一作者： Moses O,Sokunbi

第一单位： Cognitive Neuroscience Sector, International School for Advanced Studies (SISSA), Via Bonomea 265, 34136 Trieste, Italy; MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff School of Medicine, Cardiff University, Cardiff, UK; Imaging Science, Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, UK. Electronic address: msokunbi@sissa.it.

作者： Moses O,Sokunbi ^[1] ; George G,Cameron ^[2] ; Trevor S,Ahearn ^[3] ; Alison D,Murray ^[2] ; Roger T,Staff ^[4]

作者单位： Cognitive Neuroscience Sector, International School for Advanced Studies (SISSA), Via Bonomea 265, 34136 Trieste, Italy; MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff School of Medicine, Cardiff University, Cardiff, UK; Imaging Science, Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, UK. Electronic address: msokunbi@sissa.it. ^[1] Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, UK. ^[2] Department of Medical Physics, Aberdeen Royal Infirmary, NHS Grampian, Aberdeen, UK. ^[3] Department of Nuclear Medicine, Aberdeen Royal Infirmary, NHS Grampian, Aberdeen, UK. ^[4]

关键词 Ageing Blood oxygen level dependent (BOLD)Complexity Fuzzy approximate entropy (fApEn)Resting state-functional magnetic resonance imaging (rs-fMRI)Sample entropy (SampEn)