Basic and Clinical Neuroscience، جلد ۱۱، شماره ۳، صفحات ۳۵۹-۳۶۸

عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله

عنوان انگلیسی Discrimination of ADHD Subtypes Using Decision Tree on Behavioral, Neuropsychological, and Neural Markers
چکیده انگلیسی مقاله Introduction: Attention-Deficit/Hyperactivity Disorder (ADHD) is a well-known neurodevelopmental disorder. Diagnosis and treatment of ADHD can often lead to a developmental trajectory toward positive results. The present study aimed at implementing the decision tree method to recognize children with and without ADHD, as well as ADHD subtypes.  Methods: In the present study, the subjects included 61 children with ADHD (subdivided into ADHD-I (n=25), ADHD-H (n=14), and ADHD-C (n=22) groups) and 43 typically developing controls matched by IQ and age. The Child Behavior Checklist (CBCL), Integrated Visual And Auditory (IVA) test, and quantitative EEG during eyes-closed resting-state were utilized to evaluate the level of behavioral, neuropsychology, and electrophysiology markers using a decision tree algorithm, respectively. Results: Based on the results, excellent classification accuracy (100%) was obtained to discriminate children with ADHD from the control group. Also, the ADHD subtypes, including combined, inattention, and hyperactive/impulsive subtypes were recognized from others with an accuracy of 80.41%, 84.17%, and 71.46%, respectively.  Conclusion: Our results showed that children with ADHD can be recognized from the healthy controls based on the neuropsychological data (sensory-motor parameters of IVA). Also, subtypes of ADHD can be distinguished from each other using behavioral, neuropsychiatric and electrophysiological parameters. The findings suggested that the decision tree method may present an efficient and accurate diagnostic tool for the clinicians.
کلیدواژه‌های انگلیسی مقاله ADHD subtypes, Behavior, Neuropsychology, Electrophysiology, Decision tree

نویسندگان مقاله | Mohammad Rostami
Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran.


| Sajjad Farashi
Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran.


| Reza Khosrowabadi
Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran.


| Hamidreza Pouretemad
Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran.



نشانی اینترنتی http://bcn.iums.ac.ir/browse.php?a_code=A-10-1871-1&slc_lang=en&sid=1
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده Cellular and molecular Neuroscience
نوع مقاله منتشر شده Original
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات