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Brain Biomarkers May Help to Accurately Predict ADHD Diagnosis

Research that was published in Frontiers in Physiology has found that communication among different regions in the brain, which is referred to as brain connectivity, could possibly serve as a biomarker for attention-deficit hyperactivity disorder (“ADHD”). For the study, researchers from the University of Buffalo in collaboration with the University of Cincinnati used machine-learning classifiers to identify grown-ups who had been diagnosed with ADHD during their childhood with 99% accuracy.

The researchers note that these findings may be useful in helping clinicians find proper treatments that address the specific needs for each patient and may also increase the ease with which this disorder is diagnosed. In a press release, Chris McNorgan, who was part of the study, stated that understanding the different ADHD types could assist clinicians in making decisions concerning the medications…

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