August 6, 2024
Recent advancements in brain network analysis may help researchers better understand the dysfunctions of the complex neural networks associated with ADHD.
Controllability refers to the ability to steer the brain's activity from one state to another. In simpler terms, it’s about how different regions of the brain can influence and regulate each other to maintain normal functioning or respond to tasks and stimuli.
Researchers examined functional MRI (fMRI) data from 143 healthy individuals and 102 ADHD patients, they focused on a specific metric called the node controllability index (CA-scores). This metric helps quantify how different brain regions contribute to overall brain function.
The study revealed that individuals with ADHD exhibit significantly different CA-scores in various brain regions compared to healthy controls. These regions include:
These areas are crucial for processes such as decision-making, sensory processing, and attention.
This new study suggests that the controllability index might be a more effective tool in identifying brain regions that work differently in those with ADHD. This means that controllability could provide a clearer picture of the brain networks associated with ADHD.
Although ADHD still cannot be diagnosed with this type of imaging, studies such as this highlight the complexity of the disorder and provide new avenues for future research.
Chen B, Sun W, Yan C. Controllability in attention deficit hyperactivity disorder brains. Cogn Neurodyn. 2024 Aug;18(4):2003-2013. doi: 10.1007/s11571-023-10063-z. Epub 2024 Feb 6. PMID: 39104674; PMCID: PMC11297865.