Torun Yasemin Tas, Gurbuz Seyma, Menderes Deniz, Gul Hesna, Saripinar Esin Gokce, Arhan Ebru, Guney Esra, Isik Yasemen, Iseri Elvan, Serdaroglu Ayse
Department of Child and Adolescent Psychiatry, Gazi University Faculty of Medicine, Ankara, Turkiye.
Department of Child Neurology, Gazi University Faculty of Medicine, Ankara, Turkiye.
North Clin Istanb. 2023 Feb 20;10(1):95-100. doi: 10.14744/nci.2021.71059. eCollection 2023.
Neuropsychiatric assessment 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.
We identified patients who had two 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 Gazi 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).
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=0.56) in intellectual disability (ID) group and a positive-strong correlation between presence of EEG abnormality and WISC-R performance-verbal scores (r=0.74) in ID group.
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 ID, and 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.
神经精神评估是儿童和青少年精神病学临床实践的重要组成部分,也能提供有关中枢神经系统功能障碍的重要信息。在迄今为止进行的研究中,已知癫痫患者中精神疾病共病的频率较高,且癫痫共病在神经发育障碍中也相当常见。事实上,考虑到癫痫异常与精神疾病的高共病率,在儿童和青少年精神病学的临床样本中确定癫痫异常的预测因素非常重要。在这项回顾性研究中,我们旨在根据韦氏儿童智力量表(WISC-R)的结果,确定儿童和青少年精神病学临床样本中癫痫异常的可能预测因素。
通过回顾性扫描2013年1月至2020年12月在加齐大学儿童和青少年精神病学门诊接受不同预诊断的2609例应用WISC-R的病例系统记录,我们确定了在WISC-R积木设计子测试中有两个或更多旋转错误的患者(n = 71)。在第一步识别之后,我们选择了有既往脑电图(EEG)记录可供我们自己重新审查的患者(n = 60)。
我们发现15%的EEG异常,注意缺陷多动障碍(ADHD)是正常和异常EEG组中最常见的诊断。经相关性分析,智力障碍(ID)组中EEG异常的存在与WISC-R表现之间存在正轻度相关性(r = 0.56),ID组中EEG异常的存在与WISC-R表现-言语分数之间存在正强相关性(r = 0.74)。
本研究表明,在WISC-R积木设计测试中有旋转错误、提示ID诊断且在WISC-R积木设计子测试中有显著的表现-言语子测试分数差异和旋转错误的患者中可发现许多不同的异常EEG模式,提示这些应是癫痫异常的预测因素。