Biostatistics in Brain Diseases - Future Approaches

Dear Colleagues, 

Brain diseases such as stroke, as well as neuropsychiatric diseases, are major causes of disability, death and social exclusion worldwide, and the costs of medical care for these diseases are not going away. In the case of acute stroke or neuropsychiatric diseases such as depression, schizophrenia or Altzheimer's disease, therapies that modify the course of the disease or reduce the burden of polypragmasy found in psychiatry are of interest. Novel approaches using previously used health assessment methods based on objective measurable indicators: neuroradiological, genetic, biochemical or immunological, may lead to a better understanding of the health status and reduce the long-term disability of patients in these brain diseases. Biostatistical analyses can provide a basis for the appropriate use of applied research tools or the identification of the most effective combinations of measurement methods used in these diseases. Without advanced statistical analyses, even the most comprehensive database remains just a collection of data. Access to the information that can be derived from this dataset is contingent on performing appropriate analyses on it, and it is the quality of the analyses and the thoughtful selection of biostatistical methods that determine what quality and value of information can be drawn from the data.

Therefore, this special issue aims to present a novel approach using biostatistical analyses in the selection of applied methods for the assessment of health status in common brain diseases, based on objective measurable indicators: neuroradiological, genetic, biochemical or immunological, thanks to which we can better understand the state of health and the progress that has been made in understanding the mechanisms, diagnosis and treatment of diseases, i.e. stroke or selected neuropsychiatric diseases.

Prof. Dr. Fabio Pilato
Dr. Wirginia Krzyściak
Guest Editors

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• brain diseases
• biostatistic
• neuroradiological method 
• stroke molecular markers
• schizophrenia neuroimaging markers