English

Comparison of brain connectomes using geodesic distance on manifold:a twin study

Neurons and Cognition 2019-02-06 v1 Machine Learning Machine Learning

Abstract

fMRI is a unique non-invasive approach for understanding the functional organization of the human brain, and task-based fMRI promotes identification of functionally relevant brain regions associated with a given task. Here, we use fMRI (using the Poffenberger Paradigm) data collected in mono- and dizygotic twin pairs to propose a novel approach for assessing similarity in functional networks. In particular, we compared network similarity between pairs of twins in task-relevant and task-orthogonal networks. The proposed method measures the similarity between functional networks using a geodesic distance between graph Laplacians. With method we show that networks are more similar in monozygotic twins compared to dizygotic twins. Furthermore, the similarity in monozygotic twins is higher for task-relevant, than task-orthogonal networks.

Keywords

Cite

@article{arxiv.1902.01395,
  title  = {Comparison of brain connectomes using geodesic distance on manifold:a twin study},
  author = {A. Yamin and M. Dayan and L. Squarcina and P. Brambilla and V. Murino and V. Diwadkar and D. Sona},
  journal= {arXiv preprint arXiv:1902.01395},
  year   = {2019}
}

Comments

Paper is accepted for presentation in ISBI 2019. Camera ready has been submitted on 15 Jan 2019