Exploring the attention process differentiation of attention deficit hyperactivity
disorder (ADHD) symptomatic adults using artificial intelligence on
electroencephalography (EEG) signals

GUNEY, Gokhan; SAYGİLİ, Gorkem; KİSACİK, Esra; KALAYCİOGLU, Canan

doi:10.3906/elk-2011-3

Exploring the attention process differentiation of attention deficit hyperactivity disorder (ADHD) symptomatic adults using artificial intelligence on electroencephalography (EEG) signals

Gokhan Guney, (Ankara Üniversitesi, Biyomedikal Mühendisliği Bölümü, Ankara, Türkiye)

Esra Kisacik, (Nuh Naci Yazgan Üniversitesi, Fen Edebiyat Fakültesi, Psikoloji Bölümü, Kayseri, Türkiye)

Canan Kalaycioglu, (Ankara Üniversitesi, Sağlık Bilimleri Enstitüsü, Disiplinlerarası Sinirbilim, Ankara, Türkiye)

Gorkem Saygili (Ankara Üniversitesi, Biyomedikal Mühendisliği Bölümü, Ankara, Türkiye)

Turkish Journal of Electrical Engineering and Computer Sciences

2 0

Yıl: 2021 Cilt: 29 Sayı: 5 Sayfa Aralığı: 2312 - 2325 Metin Dili: İngilizce DOI: 10.3906/elk-2011-3 İndeks Tarihi: 24-06-2022

Exploring the attention process differentiation of attention deficit hyperactivity disorder (ADHD) symptomatic adults using artificial intelligence on electroencephalography (EEG) signals

Öz:

Attention deficit and hyperactivity disorder (ADHD) onset in childhood and its symptoms can last up till adulthood. Recently, electroencephalography (EEG) has emerged as a tool to investigate the neurophysiological connection of ADHD and the brain. In this study, we investigated the differentiation of attention process of healthy subjects with or without ADHD symptoms under visual continuous performance test (VCPT). In our experiments, artificial neural network (ANN) algorithm achieved 98.4% classification accuracy with 0.98 sensitivity when P2 event related potential (ERP) was used. Additionally, our experimental results showed that fronto-central channels were the most contributing. Overall, we conclude that the attention process of adults with or without ADHD symptoms become a key feature to separate individuals especially in fronto-central regions under VCPT condition. In addition, using P2 ERP component under VCPT task can be a highly accurate approach to investigate EEG signal differentiation on ADHD-symptomatic adults.

Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	GUNEY G, KİSACİK E, KALAYCİOGLU C, SAYGİLİ G (2021). Exploring the attention process differentiation of attention deficit hyperactivity disorder (ADHD) symptomatic adults using artificial intelligence on electroencephalography (EEG) signals. , 2312 - 2325. 10.3906/elk-2011-3
Chicago	GUNEY Gokhan,KİSACİK Esra,KALAYCİOGLU Canan,SAYGİLİ Gorkem Exploring the attention process differentiation of attention deficit hyperactivity disorder (ADHD) symptomatic adults using artificial intelligence on electroencephalography (EEG) signals. (2021): 2312 - 2325. 10.3906/elk-2011-3
MLA	GUNEY Gokhan,KİSACİK Esra,KALAYCİOGLU Canan,SAYGİLİ Gorkem Exploring the attention process differentiation of attention deficit hyperactivity disorder (ADHD) symptomatic adults using artificial intelligence on electroencephalography (EEG) signals. , 2021, ss.2312 - 2325. 10.3906/elk-2011-3
AMA	GUNEY G,KİSACİK E,KALAYCİOGLU C,SAYGİLİ G Exploring the attention process differentiation of attention deficit hyperactivity disorder (ADHD) symptomatic adults using artificial intelligence on electroencephalography (EEG) signals. . 2021; 2312 - 2325. 10.3906/elk-2011-3
Vancouver	GUNEY G,KİSACİK E,KALAYCİOGLU C,SAYGİLİ G Exploring the attention process differentiation of attention deficit hyperactivity disorder (ADHD) symptomatic adults using artificial intelligence on electroencephalography (EEG) signals. . 2021; 2312 - 2325. 10.3906/elk-2011-3
IEEE	GUNEY G,KİSACİK E,KALAYCİOGLU C,SAYGİLİ G "Exploring the attention process differentiation of attention deficit hyperactivity disorder (ADHD) symptomatic adults using artificial intelligence on electroencephalography (EEG) signals." , ss.2312 - 2325, 2021. 10.3906/elk-2011-3
ISNAD	GUNEY, Gokhan vd. "Exploring the attention process differentiation of attention deficit hyperactivity disorder (ADHD) symptomatic adults using artificial intelligence on electroencephalography (EEG) signals". (2021), 2312-2325. https://doi.org/10.3906/elk-2011-3

APA	GUNEY G, KİSACİK E, KALAYCİOGLU C, SAYGİLİ G (2021). Exploring the attention process differentiation of attention deficit hyperactivity disorder (ADHD) symptomatic adults using artificial intelligence on electroencephalography (EEG) signals. Turkish Journal of Electrical Engineering and Computer Sciences, 29(5), 2312 - 2325. 10.3906/elk-2011-3
Chicago	GUNEY Gokhan,KİSACİK Esra,KALAYCİOGLU Canan,SAYGİLİ Gorkem Exploring the attention process differentiation of attention deficit hyperactivity disorder (ADHD) symptomatic adults using artificial intelligence on electroencephalography (EEG) signals. Turkish Journal of Electrical Engineering and Computer Sciences 29, no.5 (2021): 2312 - 2325. 10.3906/elk-2011-3
MLA	GUNEY Gokhan,KİSACİK Esra,KALAYCİOGLU Canan,SAYGİLİ Gorkem Exploring the attention process differentiation of attention deficit hyperactivity disorder (ADHD) symptomatic adults using artificial intelligence on electroencephalography (EEG) signals. Turkish Journal of Electrical Engineering and Computer Sciences, vol.29, no.5, 2021, ss.2312 - 2325. 10.3906/elk-2011-3
AMA	GUNEY G,KİSACİK E,KALAYCİOGLU C,SAYGİLİ G Exploring the attention process differentiation of attention deficit hyperactivity disorder (ADHD) symptomatic adults using artificial intelligence on electroencephalography (EEG) signals. Turkish Journal of Electrical Engineering and Computer Sciences. 2021; 29(5): 2312 - 2325. 10.3906/elk-2011-3
Vancouver	GUNEY G,KİSACİK E,KALAYCİOGLU C,SAYGİLİ G Exploring the attention process differentiation of attention deficit hyperactivity disorder (ADHD) symptomatic adults using artificial intelligence on electroencephalography (EEG) signals. Turkish Journal of Electrical Engineering and Computer Sciences. 2021; 29(5): 2312 - 2325. 10.3906/elk-2011-3
IEEE	GUNEY G,KİSACİK E,KALAYCİOGLU C,SAYGİLİ G "Exploring the attention process differentiation of attention deficit hyperactivity disorder (ADHD) symptomatic adults using artificial intelligence on electroencephalography (EEG) signals." Turkish Journal of Electrical Engineering and Computer Sciences, 29, ss.2312 - 2325, 2021. 10.3906/elk-2011-3
ISNAD	GUNEY, Gokhan vd. "Exploring the attention process differentiation of attention deficit hyperactivity disorder (ADHD) symptomatic adults using artificial intelligence on electroencephalography (EEG) signals". Turkish Journal of Electrical Engineering and Computer Sciences 29/5 (2021), 2312-2325. https://doi.org/10.3906/elk-2011-3