Dynamic Low-Frequency Fluctuations of Resting Brain in Attention Deficit Hyperactivity Disorder

摘要

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition whose mechanism isnot completely understood. However, it has been consistently found that regions within the Default ModeNetwork have an important role in the dysfunctional brain activity. The objective of this study was to usea dynamic brain approach for the analysis of resting-state functional magnetic resonance imaging data fromsubjects with typical development and subjects with ADHD, and to compare it with the static approach. Inthe current study we computed the amplitude of low frequency fluctuations in the 0.01 to 0.08 Hz frequencyband within the Default Mode Network regions. Statistically significant differences between typicaldevelopment and ADHD subjects were found, where more regions revealed a differential behavior betweengroups when performing the dynamic approach. Results indicated that the dynamic approach providescomplementary explanation of brain function, compared to the static analysis, and allows to accessinformation concerning temporal behavior by looking at each window.