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Specific communication among different brain regions, known as brain connectivity, can serve as a biomarker for ADHD, according to a new study.
The research relied on a deep architecture using machine-learning classifiers to identify with 99% accuracy those adults who had received a childhood diagnosis of attention deficit hyperactivity disorder (ADHD) many years earlier.
“It’s by far the highest accuracy rate I’ve seen reported anywhere it is leagues beyond anything that has come before it…”
“This suggests that brain connectivity is a stable biomarker for ADHD, at least into childhood, even when an individual’s behavior had become more typical, perhaps by adapting different strategies that obscure the underlying disorder,” says Chris McNorgan, an assistant professor of psychology at the University at Buffalo, and the lead author of the study in the journal
Biomarkers in Brain Can Accurately Detect ADHD by Anjanee Sharma on January 28, 2021 at 4:12 PM Attention Deficit Hyperactivity Disorder (ADHD) is a commonly diagnosed psychological disorder among school-aged children but is also a diagnostically slippery disorder that s difficult to identify.
Researchers have identified how brain connectivity (specific communication among different brain regions) can act as a biomarker for attention deficit hyperactivity disorder (ADHD).
The research used machine-learning classifiers to identify adults who had received a childhood diagnosis of ADHD with 99% accuracy.
Lead author of the study Chris McNorgan explains that the results suggest that brain connectivity is a stable biomarker for ADHD, at least into childhood. This is true even when an individual s behavior becomes more typical sometimes by adapting different coping strategies.
Brain connectivity can serve as biomarker for ADHD: Study ANI | Updated: Jan 28, 2021 14:39 IST
Washington [US], January 28 (ANI): A new study has discovered how specific communication among different brain regions, known as brain connectivity, can be used as a biomarker for Attention Deficit Hyperactivity Disorder (ADHD).
The research published in the journal Frontiers in Physiology relied on a deep architecture using machine-learning classifiers to identify with 99 per cent accuracy the adults who had received a childhood diagnosis of ADHD many years earlier. This suggests that brain connectivity is a stable biomarker for ADHD, at least into childhood, even when an individual s behavior had become more typical, perhaps by adapting different strategies that obscure the underlying disorder, said Chris McNorgan, an assistant professor of psychology in the UB College of Arts and Sciences, and the study s lead author.
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BUFFALO, N.Y. - A new study led by a University at Buffalo researcher has identified how specific communication among different brain regions, known as brain connectivity, can serve as a biomarker for attention deficit hyperactivity disorder (ADHD).
The research relied on a deep architecture using machine-learning classifiers to identify with 99% accuracy those adults who had received a childhood diagnosis of ADHD many years earlier. This suggests that brain connectivity is a stable biomarker for ADHD, at least into childhood, even when an individual s behavior had become more typical, perhaps by adapting different strategies that obscure the underlying disorder, said Chris McNorgan, an assistant professor of psychology in the UB College of Arts and Sciences, and the study s lead author.