Characterizing the stability of claims in neuroimaging

In recent years there has been a growing focus on evaluating the reproducibility of scientific findings. In neuroimaging this has been explored with respect to the impact specific choices in analysis software have on the resulting claims and their ability to be replicated across datasets or other tools. The focus of my Ph.D. involves the characterization of various tools and their relative stability, in other words, how significantly minor changes (such as noise in data, specific analysis choices, or computer hardware) affect the eventual results. This exchange will give me the opportunity to apply this exploration to functional MRI analyses, leveraging the experience provided by Dr. Maumet and her team in comparing disparate processing pipelines.

Faculty Supervisor:

Alan Evans

Student:

Partner:

Institut Nationale Recherche Informatique Automatique

Discipline:

Engineering

Sector:

Life Sciences (not health); Information and Communications Technology; Biotechnology

University:

McGill University

Program: