Using a new analytical technique, scientists have been able to study brain images from more than 6,000 children to identify connectivity patterns that are common to people with attention-deficit/hyperactivity disorder (ADHD).
Most of our behaviors are controlled by
“Resting state” means exactly what it sounds like – these scans are carried out while the subject is at rest, not being asked to perform a particular cognitive task or think any particular thoughts. Assuming you’re not claustrophobic, and don’t mind keeping perfectly still, it can be a fairly pleasurable experience.
The data derived from rs-fMRI scans is invaluable to scientists studying a whole range of neurological disorders and conditions. By comparing scans from individuals with conditions like
However, this type of research into ADHD has so far been hindered by small sample sizes and inconsistent methods, so it’s been difficult to draw any firm conclusions. A recent study led by Michael Mooney at Oregon Health & Science University sought to change all that.
Using several large-scale datasets, the team developed a new way of analyzing imaging data covering broader areas of the brain than ever before. They called this a polyneuro score (PNRS).
“Our findings demonstrate a robust association between brain-wide connectivity patterns (PNRS) and 554 ADHD symptoms in two independent cohorts,” they explain in their paper.
The authors go on to explain how their approach could be used to glean better insights from even small datasets, and could also be used to identify mechanisms that may be shared across different neurological and psychiatric conditions – for example, could it be the case that an ADHD-typical PNRS is predictive of
ADHD diagnoses are
The study is published in