Computational Framework for Neuroinformatics and Genetics

Lead investigators

Randy Buckner (Harvard Faculty of Arts and Sciences Harvard Medical School Center for Brain Science Athinoula A. Martinos Center for Biomedical Imaging), Timothy Clark, Bruce Rosen (Harvard Medical School Massachusetts General Hospital Athinoula A. Martinos Center for Biomedical Imaging) and Brad Hyman (HMS,Neurology & Massachusetts Alzheimers Disease Research Center)

Project staff

Gabriele Fariello

Description

An entire class of clinical research problems exists that cuts across psychology, psychiatry, neuroscience and genetics, posing a challenging task of integrating and analyzing data across multiple scales and modalities. Experience shows that, while many Harvard investigators and laboratories have their own well-developed algorithms and instruments for collecting and analyzing data in each of the individual scales and modalities, robustly combining and collectively analyzing the results across modality and scale in a reproducible way is not trivial.

The goal of this project is to reproducibly integrate the clinical, behavioral, imaging and genetic assessments of any subject or patient population with normative profiles in these domains in order to develop an integrated systems-level model of the normal phenomena as well as the disordered state.

This goal is to be accomplished through the construction of a robust, scalable, extensible, re-usable and provenance-preserving computational framework within which to perform studies relating genetics, brain and mind. The data involved must span structural, clinical, genetic and behavioral scales, utilizing all the numerous available modalities of information acquisition and processing, and will support information re-use in multiple collaborations over time, across the Harvard community and other institutions and collaborators.