What is Neuroinformatics?

Neuroinformatics refers to the application of a cluster of powerful quantitative modeling technologies to the analysis and interpretation of complex data sets representing a broad spectrum of neurological and mental health research problems. Such applications are often derived from advances in Artificial Intelligence, machine learning, and multi-omics technologies. They can integrate research projects that feature:

  1. data-driven or hypothesis-guided designs,
  2. big data (variables, persons) or selective data sets, and
  3. both dynamic (longitudinal) and static data structures

NMHI members are engaged in research that deploys neuroinformatics approaches to multiple modalities of data, including neuroimaging, genomics, epigenetics, neurocognition, neurodevelopment, neurodegeneration, mental health, electrophysiology, and neural injury/repair. Neuroinformatics approaches can help NMHI members link:

  1. preclinical with clinical research,
  2. big data analytics with precision health application, and
  3. mechanistic insights with intervention and prevention aspirations.