English

Uncertainty in fMRI Functional Networks of Autism Brain Imaging Data

Neurons and Cognition 2022-02-07 v1 Other Computer Science

Abstract

In this paper we review the preprocessing pipeline through which fMRI data is transformed into a network. We discuss three parameters that mostly affect our understanding of the existence of functional correlations between the brain regions. In the end, we conclude that the existence of functional correlations between pairs of the brain's regions can be modeled with probabilistic edges, not to lose the uncertainty that is inherent in the network generation process.

Keywords

Cite

@article{arxiv.2202.02228,
  title  = {Uncertainty in fMRI Functional Networks of Autism Brain Imaging Data},
  author = {Amin Kaveh and Matteo Magnani and Christian Rohner},
  journal= {arXiv preprint arXiv:2202.02228},
  year   = {2022}
}