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Abstract #3862

Identifying confounds in human brain functional connectomes: physiological and cognitive contributions

Phillip G. D. Ward1,2,3, Sharna D. Jamadar1,2,3, Stuart Oldham1, Aurina Arnatkeviciute1, and Gary F. Egan1,2,3

1Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Melbourne, Australia, 2Monash Biomedical Imaging, Monash University, Melbourne, Australia, 3Centre of Excellence for Integrative Brain Function, Australian Research Council, Melbourne, Australia

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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