Detection of brain conditions from evoked responses using artificial neural networks

The contingent negative variation (CNV) is a cognitive event-related potential elicited by the presentation of a warning stimulus followed by an imperative stimulus. Neural nets trained on CNV data offer an additional tool for the diagnosis of Huntington's Disease, Parkinson's Disease and schizophrenia, and may also offer a means of detecting and monitoring the pre-onset of Huntington's Disease. In future, it may be possible to quantify and monitor symptoms and to sub-classify the conditions, thus leading to improved drug treatment and patient care. Application of the fuzzy ARTMAP is most promising in this domain.