  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.
