  Ageing impacts the brain's structural and functional organization and over
time leads to various disorders, such as Alzheimer's disease and cognitive
impairment. The process also impacts sensory function, bringing about a general
slowing in various perceptual and cognitive functions. Here, we analyze the
Cambridge Centre for Ageing and Neuroscience (Cam-CAN) resting-state
magnetoencephalography (MEG) dataset -- the largest ageing cohort available --
in light of the quasicriticality framework, a novel organizing principle for
brain functionality which relates information processing and scaling properties
of brain activity to brain connectivity and stimulus. Examination of the data
using this framework reveals interesting correlations with age and gender of
test subjects. Using simulated data as verification, our results suggest a link
between changes to brain connectivity due to ageing, and increased
vulnerability to distraction from irrelevant information. Our findings suggest
a platform to develop biomarkers of neurological health.
