Functional MRI entropy measurements of age-related brain changes

As we age there is a decline in cognitive abilities such as processing speed, memory, executive function and reasoning. The basis for this decline is not well understood. In this study, the physiological complexity of resting state fMRI signals in a group of healthy volunteers was investigated. Twenty volunteers ranging from age 25 to 60 years underwent functional magnetic resonance imaging (fMRI). Physiological complexity was measured by calculating approximate entropy (ApEn) maps for all volunteers. Maps were statistically analysed globally and regionally with Statistical Package for Social Sciences (SPSS) and Statistical Parametric Mapping (SPM8) software respectively. Comparing the older participants (> 40 years) with the younger ones, the older group exhibited significantly lower signal ApEn in areas of white matter, grey matter, frontal lobe, sub-lobar, brainstem, limbic lobe and temporal lobe. Decline in fMRI brain complexity is a feature of normal ageing beyond the age of 40 years.