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ADHD: the latest advances in scientific research

ADHD: the latest advances in scientific research

Research on ADHD has progressed considerably in recent years. From better-identified neurological mechanisms to new therapeutic approaches, recent advances open up encouraging prospects for the people concerned and the professionals who support them.

ADHD brain circuits, now better mapped

Functional MRI neuroimaging studies have made it possible to map more precisely the brain circuits involved in ADHD. The fronto-striatal network, which connects the prefrontal cortex to the basal ganglia, shows documented differences in activation and connectivity in people with ADHD. These differences explain the difficulties with attentional regulation, executive control and emotional management. Recent studies have also documented differences in the default mode network, the network that is active at rest and that must be inhibited during tasks: its insufficient inhibition in people with ADHD contributes to the characteristic internal distractions.

The genetics of ADHD: major advances

ADHD is one of the most heritable neurodevelopmental disorders, with heritability estimated at 70 to 80% according to twin studies. Genome-wide association studies have identified numerous genetic variants associated with ADHD, notably genes involved in dopaminergic and noradrenergic regulation. These discoveries confirm the biological basis of the disorder and open up avenues for more targeted therapeutic approaches in the future.

New promising therapeutic approaches

Beyond existing drug treatments, new approaches are being developed and evaluated. Neurofeedback, which allows patients to learn to modulate their brain activity in real time, shows promising results for certain ADHD profiles. Transcranial magnetic stimulation is also being evaluated as a complement to existing treatments. And mindfulness meditation programmes adapted for children with ADHD show significant effects on attention and emotional regulation.

AI for screening and personalisation

Artificial intelligence algorithms are being developed to improve early screening for ADHD and to personalise therapeutic approaches according to each patient’s specific neurological profile. These tools could make it possible to move away from a one-size-fits-all approach to truly individualised strategies. To keep up to date with the latest ADHD research news, lesdys.fr regularly publishes accessible summaries.

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