Inter-subject analysis of brain function using fMRI is hampered by physiological factors and the neurovascular origin of the semi-quantitative blood oxygenation level dependent signal. A common technique to address these issues is to compute the individual subject fMRI signal correlations between brain regions and compare the functional connectomes across subject groups. In this work, we examined the effect of physiological factors that can contaminate functional connectomes in a large cohort of healthy elderly people. To quantify the impact of the physiological variance we computed the physiological connectome and modelled its impact on the relationship between the functional connectome and cognitive performance.
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