PhD Scientific Days 2017

Oral Presentations: Neurosciences

The role of the physiological artefacts removal at resting-state functional MRI with

Előadó neve

Kiss, Máté

Előadó munkahelye

Semmelweis University

Előadó telefonszáma

+36304704309

Előadó e-mail címe

kissmate20@gmail.com

Az előadás címe

The role of the physiological artefacts removal at resting-state functional MRI with

Szerző(k) neve és munkahelye

Máté Kiss1,2, Lajos Kozák Rudolf1, Viktor Gál2
1 Semmelweis University, MR Research Centre
2 Brain Imaging Centre, Research Centre for Natural Sciences, Hungarian Academy of Sciences

Szekció

Oral Presentations: Neurosciences

Data of the presenter

Doctoral School: Neurosciences (János Szentágothai Clinical Medicine Doctoral School)
Program: Neurosciences
Supervisor: Lajos Rudolf Kozák, Viktor Gál
E-mail address of the presenter: kissmate20@gmail.com

Text of the abstract

Introduction
Functional MRI (fMRI) is used to present brain regions responding to task-induced activation or describing functional connections between such brain regions. It is based on the blood oxygen level-dependent (BOLD) contrast, however physiological noise (e.g. cardiac pulsatility and respiration) can induce several artefactual changes to BOLD signal. In this study we investigate the capabilities of the advanced fMRI acquisition technique with sub-second sampling rate to identify and remove physiological artefacts.

Materials and methods
25 subjects were selected from the International Data-sharing Initiative (INDI) database. Each subject was scanned with 4 different sampling rate with simultaneously recorded pulse and respiration. Standard preprocessing was performed in SPM12. RETROICOR/RVHR was applied to calculate and regress out physiological artefacts. CONN was used to perform functional connectivity analysis and to determine the possible differences before and after the physiological noise correction.

Results
Functional networks were successfully identified at all types of sequences both at subject and group-level, independent of the sampling rate. RETROICOR/RVHR worked efficiently and physiological artefacts were successfully removed. Only subtle functional differences were detected before and after physiological noise correction at the group-level, while significant results were detected at the single subject-level especially, when subjects took deep breaths or has high pulse rates.

Conclusion
fMRI acquisition with sub-second sampling rate improves the clean-up process at the single-subject level, however it is less relevant at the group-level. Moreover, the improvement is independent from sampling rate.

Kind

Szabad

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

1265

Authors (legacy)

Máté Kiss1,2, Lajos Kozák Rudolf1, Viktor Gál2
1 Semmelweis University, MR Research Centre
2 Brain Imaging Centre, Research Centre for Natural Sciences, Hungarian Academy of Sciences