 This study investigated the possibility of using RSFMRI bold signal decomposition to analyze the stability of brain subsystems in order to assess the overall characteristics of the human brain and individual's health conditions. It was found that the stability of the decomposed bold signals could be used to distinguish between healthy controls and ADHD patients. Furthermore, the proposed approach outperformed other methods with the highest possible precision, recall, and area under the receiver operating characteristic curve of 100%. This suggests that the stability of RSFMRI bold signals may provide valuable information about the underlying mechanisms of brain function and could be used in medical and engineering applications. This article was authored by Honoree Nighina-Ingabayer, Haibao Chu, Min Lee, and others.