title: Decoupling function and anatomy in atlases of functional connectivity patterns: language mapping in tumor patients.
abstract: In this paper we construct an atlas that summarizes functional connectivity characteristics of a cognitive process from a population of individuals. The atlas encodes functional connectivity structure in a low-dimensional embedding space that is derived from a diffusion process on a graph that represents correlations of fMRI time courses. The functional atlas is decoupled from the anatomical space, and thus can represent functional networks with variable spatial distribution in a population. In practice the atlas is represented by a common prior distribution for the embedded fMRI signals of all subjects. We derive an algorithm for fitting this generative model to the observed data in a population. Our results in a language fMRI study demonstrate that the method identifies coherent and functionally equivalent regions across subjects. The method also successfully maps functional networks from a healthy population used as a training set to individuals whose language networks are affected by tumors.
authors.affiliation: Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA; Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria. Electronic address: langs@csail.mit.edu.
authors.forename: Georg
authors.initials: G
authors.lastname: Langs
authors.affiliation: Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA. Electronic address: sweet@csail.mit.edu.
authors.forename: Andrew
authors.initials: A
authors.lastname: Sweet
authors.affiliation: Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA. Electronic address: danial@csail.mit.edu.
authors.forename: Danial
authors.initials: D
authors.lastname: Lashkari
authors.affiliation: Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: ytie@bwh.harvard.edu.
authors.forename: Yanmei
authors.initials: Y
authors.lastname: Tie
authors.affiliation: Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: lrigolo@bwh.harvard.edu.
authors.forename: Laura
authors.initials: L
authors.lastname: Rigolo
authors.affiliation: Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: agolby@bwh.harvard.edu.
authors.forename: Alexandra J
authors.initials: AJ
authors.lastname: Golby
authors.affiliation: Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA. Electronic address: polina@csail.mit.edu.
authors.forename: Polina
authors.initials: P
authors.lastname: Golland
mesh_terms: D000716:Anatomy, Artistic; D001271:Atlases as Topic; D001921:Brain / Q000033:anatomy & histology*; D001931:Brain Mapping; D001932:Brain Neoplasms / Q000473:pathology; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007802:Language; D008279:Magnetic Resonance Imaging; D008297:Male; D009434:Neural Pathways / Q000033:anatomy & histology*