Akademik Veri Yönetim Sistemi
NORTHERN CLINICS OF ISTANBUL = ISTANBUL KUZEY KLINIKLERI, cilt.10, ss.95-100, 2023 (ESCI)
Yasemin Tas Torun1, Seyma Gurbuz1, Deniz Menderes2, Hesna Gul3, Esin Gokce Saripinar1, Ebru Arhan2, Esra Guney1, Yasemen Isik1, Elvan Iseri1, Ayse Serdaroglu2
1Department of Child and Adolescent Psychiatry,Gazi University
2Department of Child Neurology, Gazi University
3Department of Child and Adolescent Psychiatry, Gulhane Research and Training Hospital
Objectives: Neuropsychiatric assesment is essential part of child and adolescent psychiatry clinic practice; also provides important information about central nervous system dysfunctions. In studies conducted to date, it has been known that both the high frequency of psychiatric comorbidity in epileptic patients and that epilepsy comorbidity is quite common in neurodevelopmental disorders. In fact, considering the high comorbidity of epileptic abnormalities and psychiatric disorders, it has been very important to determine predictors for epileptic abnormalities in a clinical sample of child and adolescent psychiatry. In this retrospective study, we aim to determine possible predictive factors for epileptic abnormalities in a clinical sample of child and adolescent psychiatry according to Weschler Intelligence Scale For Children (WISC-R) results.
Methods: We identified patients who had 2 or more rotation errors in the block design subtest of WISC-R by retrospectively scanning the system records of 2609 cases who were applied WISC-R with different prediagnoses at xxxxx University Child and Adolescent Psychiatry Outpatient Clinic between January 2013 and December 2020. (n=71) After the first step identification, we selected the ones who had a previous electroencephalography (EEG) recording available for our own re-review. (n=60)
Results: We found 15% EEG abnormalities and ADHD is the most common diagnosis in both normal and abnormal EEG groups. Due to correlation analysis, there was a positive-mild correlation between presence of EEG abnormality and WISC-R performance ( r=.56) in intellectual disability group and a positive-strong correlation between presence of EEG abnormality and WISC-R performance-verbal scores ( r=.74) in intellectual disability group.
Conclusion: This study has shown that many different abnormal EEG patterns can be found in patients who have rotation errors in the block design test of WISC-R, suggesting diagnoses of intellectual disability, having notable performance-verbal subtests scores difference and rotation errors in the block design subtest of WISC-R should be predicitive factors for epileptic abnormalities.
Keywords: Neuropsychiatric assesment, intelligence tests, block design, rotation error, EEG, neurodevelopmental disorders.