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 under rest conditions, in restful states, mental arithmetic task execution states and while passively reacting to auditory stimuli. The subjects are divided into cases and healthy controls and recorded from 36 cases and 21 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 cases 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 who volunteered to participate in the study at the Mental Health Ward of OAUTHC and the Wesley Guild Hospital Unit. The recordings are available at Datasets. This dataset 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：本研究旨在改善发展中国家及欠发达地区人群在精神分裂症诊断工具开发和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西非尼日利亚受试者在静息状态、休息状态、心算任务执行状态及被动响应听觉刺激条件下的国际10/20系统脑电图记录。受试者分为病例组与健康对照组，共采集36例病例及21例健康对照者的数据，所有病例经迷你国际精神分裂症访谈（MINI）确诊，并通过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。所有病例均为奥巴费米·阿沃洛沃大学教学医院综合体（OAUTHC，伊莱-伊费）精神卫生科门诊住院患者及其附属韦斯利公会医院分院（OAUTHC，伊莱沙）收治的精神分裂症患者。对照组选自OAUTHC精神卫生科及韦斯利公会医院分院志愿参与研究的在校学生。本数据集可通过数据集平台获取，可供神经科学及计算精神病学领域研究者利用脑电图信号模态开展精神分裂症诊断与预后研究。