This work has been carried out to improve the dearth of high-quality EEG datasets used for schizophrenia diagnostic tools development and studies from populations of developing and underdeveloped regions of the world. To this aim, the presented dataset contains international 10/20 system EEG recordings from West African subjects of Nigerian origin in restful states, mental arithmetic task execution states and while passively reacting to auditory stimuli, the first of its kind from the region and continent. The subjects are divided into patients and healthy controls and recorded from 37 patients and 22 healthy control subjects identified by the Mini International Schizophrenia Interview (MINI) and also assessed by the Positive and Negative Symptoms Scale (PANSS) and the World Health Organization Disability Assessment Schedule (WHODAS). All patients are admitted schizophrenia patients of the Mental Health Ward, Medical Outpatient Department of the Obafemi Awolowo University Teaching Hospital Complex (OAUTHC, Ile-Ife) and its subsidiary Wesley Guild Hospital Unit (OAUTHC, Ilesa). Controls are drawn from students and clinicians who volunteered to participate in the study at the Mental Health Ward of OAUTHC and the Wesley Guild Hospital Unit. This dataset is the first version of the Nigerian schizophrenia dataset (NSzED) and can be used by the neuroscience and computational psychiatry research community studying the diagnosis and prognosis of schizophrenia using the electroencephalogram signal modality.

翻译：本研究旨在弥补全球发展中及欠发达地区人群精神分裂症诊断工具开发与研究中高质量脑电图数据集匮乏的现状。为此，本数据集收录了来自尼日利亚籍西非受试者的国际10/20系统脑电图记录，涵盖静息状态、心算任务执行状态及被动听觉刺激反应状态——这是该地区及非洲大陆首个此类数据集。受试者分为患者组与健康对照组，共纳入37名患者与22名健康对照者，所有受试者均通过简明国际精神分裂症访谈（MINI）确诊，并采用阳性与阴性症状量表（PANSS）及世界卫生组织残疾评定量表（WHODAS）进行评估。所有患者均为奥巴费米·阿沃洛沃大学教学医院综合院区（OAUTHC，伊莱-伊费）精神科病房及门诊部，以及其附属卫斯理公会医院院区（OAUTHC，伊莱萨）收治的精神分裂症住院患者。对照组招募自OAUTHC精神科病房及卫斯理公会医院院区自愿参与研究的学生与临床医生。本数据集为尼日利亚精神分裂症数据集（NSzED）的首个版本，可供神经科学与计算精神病学研究领域利用脑电图信号模态开展精神分裂症诊断与预后研究的学者使用。