Uncertainty in fMRI Functional Networks of Autism Brain Imaging Data

02/04/2022
by   Amin Kaveh, et al.
0

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.

READ FULL TEXT

page 2

page 3

research
02/04/2019

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

fMRI is a unique non-invasive approach for understanding the functional ...
research
06/30/2018

Hill Climbing Optimized Twin Classification Using Resting-State Functional MRI

Twin imaging studies are an important part of human brain research that ...
research
10/10/2018

On the Brain Networks of Complex Problem Solving

Complex problem solving is a high level cognitive process which has been...
research
12/12/2014

Region segmentation for sparse decompositions: better brain parcellations from rest fMRI

Functional Magnetic Resonance Images acquired during resting-state provi...
research
06/23/2023

Spectral Dynamic Causal Modelling: A Didactic Introduction and its Relationship with Functional Connectivity

We present a didactic introduction to spectral Dynamic Causal Modelling ...
research
12/20/2019

A Generalizable Method for Automated Quality Control of Functional Neuroimaging Datasets

Over the last twenty five years, advances in the collection and analysis...
research
10/28/2022

Statistical Comparison among Brain Networks with Popular Network Measurement Algorithms

In this research, a number of popular network measurement algorithms ha...

Please sign up or login with your details

Forgot password? Click here to reset