Finger Tapping Test Could Aid in ADHD Diagnosis
The cause of attention deficit hyperactivity disorder, which affects roughly 5.4 million kids in the United States alone, remains unknown. But new research into “mirror movements” sheds light on the mysterious neurobehavioral disorder and might even aid in its diagnosis. “This would be quite valuable,” said APS Member Michael Manos, who directs the pediatric behavioral health department at the Cleveland Clinic Children’s Hospital. “Even more important is the possibility that the methods, once developed, would assist us to monitor response to the medical treatment of ADHD.” But Manos urges parents to not use motor movements to diagnose ADHD in their children.
“Parents who want to test their own children for ADHD using this method are only asking for worry and frustration added o their existing worry and frustration. The only advice is: Don’t do it. More work must be done.”
Read the full article: ABC News
Comments
Outcomes revealed that the ASD group spent significantly more time seeking at geometric patterns than both the developmental delay group along with the typical development group. Of the participants with ASD, 40% spent a lot more than half their viewing time seeking at geometric patterns, as compared to 9% of the participants with developmental delay and 1.9% of the participants with typical development. Furthermore, a cutoff score of 68.6% or far more viewing time spent seeking at geometric patterns was discovered to positively predict the presence of ASD with 100% accuracy.
Outcomes that the ASD Group spends significantly more time seeking at geometric pattern than both the developmental dalay group along with the development group .Of the participants with AdS 40% spend a lot more than half their veiwing time seeking at geometric ,as copared to 9% of the participants with developmental delay and 1.9% of the gemetric patterns,as compared to 9% of the participants with developmental delay 1.9% of the participants with typical development. Furthermore a positively predict the presence of ADS with 100% Accuracy.
APS regularly opens certain online articles for discussion on our website. Effective February 2021, you must be a logged-in APS member to post comments. By posting a comment, you agree to our Community Guidelines and the display of your profile information, including your name and affiliation. Any opinions, findings, conclusions, or recommendations present in article comments are those of the writers and do not necessarily reflect the views of APS or the article’s author. For more information, please see our Community Guidelines.
Please login with your APS account to comment.