D 2017

The Impact of Diverse Preprocessing Pipelines on Brain Functional Connectivity

VÝTVAROVÁ, Eva, Jan FOUSEK, Marek BARTOŇ, Radek MAREČEK, Martin GAJDOŠ et. al.

Basic information

Original name

The Impact of Diverse Preprocessing Pipelines on Brain Functional Connectivity

Authors

VÝTVAROVÁ, Eva (203 Czech Republic, belonging to the institution), Jan FOUSEK (203 Czech Republic, belonging to the institution), Marek BARTOŇ (203 Czech Republic, belonging to the institution), Radek MAREČEK (203 Czech Republic, belonging to the institution), Martin GAJDOŠ (203 Czech Republic, belonging to the institution), Martin LAMOŠ (203 Czech Republic, belonging to the institution), Marie NOVÁKOVÁ (203 Czech Republic, belonging to the institution), Tomáš SLAVÍČEK (203 Czech Republic, belonging to the institution), Igor PETERLÍK (703 Slovakia, belonging to the institution) and Michal MIKL (203 Czech Republic, belonging to the institution)

Edition

Kos, Greece, 25th European Signal Processing Conference (EUSIPCO), Kos, Greece. p. 2644-2648, 5 pp. 2017

Publisher

IEEE

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

30103 Neurosciences

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

RIV identification code

RIV/00216224:14330/17:00095053

Organization unit

Faculty of Informatics

ISBN

978-0-9928626-7-1

ISSN

DOI

UT WoS

000426986000534

Keywords in English

functional magnetic resonance imaging; network analysis; preprocessing

Tags

Tags

International impact, Reviewed
Změněno: 27/4/2018 11:04, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

Brain functional connectivity measured by functional magnetic resonance imaging was shown to be influenced by preprocessing procedures. We aim to describe this influence separately for different preprocessing factors and in 20 different most used preprocessing pipelines. We evaluate the effects of slice-timing correction and physiological noise filtering by RETROICOR, diverse levels of motion correction, and white matter, cerebrospinal fluid, and global signal filtering. With usage of three datasets, we show the impact on global metrics of restingstate functional brain networks and their reliability. We show negative effect of RETROICOR on reliability of metrics and disrupting effect of global signal regression on network topology. We do not support the use of slice-timing correction because it does not significantly influence any of the measured features. We also show that the selected types of preprocessing may affect averaged node strength, normalized clustering coefficient, normalized characteristic path length and modularity.

Links

GA14-33143S, research and development project
Name: Vliv fyziologických procesů na reliabilitu a časovou proměnlivost konektivity v lidském mozku měřené pomocí fMRI
Investor: Czech Science Foundation
LM2015085, research and development project
Name: CERIT Scientific Cloud (Acronym: CERIT-SC)
Investor: Ministry of Education, Youth and Sports of the CR, CERIT Scientific Cloud
LQ1601, research and development project
Name: CEITEC 2020 (Acronym: CEITEC2020)
Investor: Ministry of Education, Youth and Sports of the CR
MUNI/A/0897/2016, interní kód MU
Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VI.
Investor: Masaryk University, Category A
MUNI/A/0945/2015, interní kód MU
Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace V.
Investor: Masaryk University, Category A
MUNI/A/1206/2014, interní kód MU
Name: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity (Acronym: SKOMU)
Investor: Masaryk University, Category A