Investigation of attention deficit hyperactivity disorder (ADHD) sub-types in children via EEG frequency domain analysis


ALDEMİR R. , DEMİRCİ E. , PER H. , CANPOLAT M. , ÖZMEN S. , TOKMAKÇI M.

INTERNATIONAL JOURNAL OF NEUROSCIENCE, cilt.128, ss.349-360, 2018 (SCI İndekslerine Giren Dergi)

  • Cilt numarası: 128 Konu: 4
  • Basım Tarihi: 2018
  • Doi Numarası: 10.1080/00207454.2017.1382493
  • Dergi Adı: INTERNATIONAL JOURNAL OF NEUROSCIENCE
  • Sayfa Sayısı: ss.349-360

Özet

Aim of the study: To investigate the frequency domain effects and changes in electroencephalography (EEG) signals in children diagnosed with attention deficit hyperactivity disorder (ADHD).Patients and methods: The study contains 40 children. All children were between the ages of 7 and 12 years. Participants were classified into four groups which were ADHD (n=20), ADHD-I (ADHD-Inattentive type) (n=10), ADHD-C (ADHD-Combined type) (n=10), and control (n=20) groups. In this study, the frequency domain of EEG signals for ADHD, subtypes and control groups were analyzed and compared using Matlab software. The mean age of the ADHD children's group was 8.7 years and the control group 9.1 years.Results: Spectral analysis of mean power (V-2) and relative-mean power (%) was carried out for four different frequency bands: delta (0--4 Hz), theta (4--8 Hz), alpha (8--13 Hz) and beta (13--32 Hz). The ADHD and subtypes of ADHD-I, and ADHD-C groups had higher average power value of delta and theta band than that of control group. However, this is not the case for alpha and beta bands. Increases in delta/beta ratio and statistical significance were found only between ADHD-I and control group, and in delta/beta, theta/delta ratio statistical significance values were found to exist between ADHD-C and control group.Conclusion: EEG analyzes can be used as an alternative method when ADHD subgroups are identified.