Author/Authors :
Batouli, A.H Department of Radiation Medicine Engineering - Shahid Beheshti University, Tehran , Boroomand, A Department of Biomedical Engineering and Medical Physics - Tehran University of Medical Sciences, Tehran , Fakhri, M Faculty of Medicine - Shahid Beheshti University of Medical Sciences, Tehran , Sikaroodi, H Department of Neurology - Shariati Hospital, Tehran , Oghabian, M.A Department of Biomedical Engineering and Medical Physics - Tehran University of Medical Sciences, Tehran , Firouznia, K Tehran University of Medical Sciences, Tehran
Abstract :
Background/Objective: Healthy aging may be accompanied by some types of cognitive impairment;
moreover, normal aging may cause natural atrophy in the healthy human brain. The
hypothesis of the healthy aging brain is the structural changes together with the functional
impairment happening. The brain struggles to over-compensate for those functional agerelated
impairments to continue as a healthy brain in its functions. Our goal in this study was
to evaluate the effects of aging on the resting-state activation network of the brain using the
multi-session probabilistic independent component analysis algorithm (PICA).
Patients and Methods: We compared the resting-state brain activities between two groups of
healthy aged and young subjects, so we examined 30 right-handed subjects and finally 12
healthy aging and 11 controls were enrolled in the study.
Results: Our results showed that during the resting-state, older brains benefit from larger
areas of activation, while in young competent brains, higher activation occurs in terms of
greater intensity. These results were obtained in prefrontal areas as regions with regard to
memory function as well as the posterior cingulate cortex (PCC) as parts of the default mode
network. Meanwhile, we reached the same results after normalization of activation size with
total brain volume.
Conclusion: The difference in activation patterns between the two groups shows the brain’s
endeavor to compensate the functional impairment.
Keywords :
fMRI , Resting-State , Default Mode Network , PICA , Atrophy