Effects of tractography filtering on the topology and interpretability of connectomes - Archive ouverte HAL Access content directly
Conference Papers Year : 2019

Effects of tractography filtering on the topology and interpretability of connectomes

Abstract

The analysis of connectomes and their associated network metrics forms an important part of clinical studies. These connectomes are based on tractography algorithms to estimate the structural connectivity between brain regions. However, tractography algorithms, are prone to false positive connections and this affects the quality of the connectomes. Several tractography filtering techniques (TFTs) have been proposed to alleviate this issue in studies, but their effect on connectomic analyses of pathology has not been investigated. The aim of our work is to investigate how TFTs affect network metrics and their interpretation in the context of clinical studies.
Fichier principal
Vignette du fichier
abstract.pdf (587.63 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-02056641 , version 1 (05-03-2019)

Identifiers

  • HAL Id : hal-02056641 , version 1

Cite

Matteo Frigo, Samuel Deslauriers-Gauthier, Drew Parker, Abdol Aziz Ould Ismail, Junghoon John Kim, et al.. Effects of tractography filtering on the topology and interpretability of connectomes. OHBM 2019 - Organization for Human Brain Mapping, Jun 2019, Roma, Italy. ⟨hal-02056641⟩
331 View
191 Download

Share

Gmail Mastodon Facebook X LinkedIn More