Literature DB >> 27507129

Reporting of Resting-State Functional Magnetic Resonance Imaging Preprocessing Methodologies.

Syed Hamza Waheed1, Saeedeh Mirbagheri2, Shruti Agarwal2, Arash Kamali2, Noushin Yahyavi-Firouz-Abadi2, Ammar Chaudhry2, Michael DiGianvittorio2, Sachin K Gujar2, Jay J Pillai2, Haris I Sair2.   

Abstract

There has been a rapid increase in resting-state functional magnetic resonance imaging (rs-fMRI) literature in the past few years. We aim to highlight the variability in the current reporting practices of rs-fMRI acquisition and preprocessing parameters. The PubMed database was searched for the selection of appropriate articles in the rs-fMRI literature and the most recent 100 articles were selected based on our criteria. These articles were evaluated based on a checklist for reporting of certain preprocessing steps. All of the studies reported the temporal resolution for the scan and the software used for the analysis. Less than half of the studies reported physiologic monitoring, despiking, global signal regression, framewise displacement, and volume censoring. A majority of the studies mentioned the scanning duration, eye status, and smoothing kernel. Overall, we demonstrate the wide variability in reporting of preprocessing methods in rs-fMRI studies. Although there might be potential variability in reporting across studies due to individual requirements for a study, we suggest the need for standardizing reporting guidelines to ensure reproducibility.

Keywords:  analysis; preprocessing; reporting; resting-state fMRI; techniques; variability

Mesh:

Year:  2016        PMID: 27507129     DOI: 10.1089/brain.2016.0446

Source DB:  PubMed          Journal:  Brain Connect        ISSN: 2158-0014


  10 in total

1.  Modular preprocessing pipelines can reintroduce artifacts into fMRI data.

Authors:  Martin A Lindquist; Stephan Geuter; Tor D Wager; Brian S Caffo
Journal:  Hum Brain Mapp       Date:  2019-01-21       Impact factor: 5.038

2.  Post-Encoding Amygdala-Visuosensory Coupling Is Associated with Negative Memory Bias in Healthy Young Adults.

Authors:  Sarah M Kark; Elizabeth A Kensinger
Journal:  J Neurosci       Date:  2019-02-13       Impact factor: 6.167

3.  Ultra-slow fMRI fluctuations in the fourth ventricle as a marker of drowsiness.

Authors:  Javier Gonzalez-Castillo; Isabel S Fernandez; Daniel A Handwerker; Peter A Bandettini
Journal:  Neuroimage       Date:  2022-06-30       Impact factor: 7.400

4.  Functional connectivity with medial temporal regions differs across cultures during post-encoding rest.

Authors:  Wanbing Zhang; Jessica R Andrews-Hanna; Ross W Mair; Joshua Oon Soo Goh; Angela Gutchess
Journal:  Cogn Affect Behav Neurosci       Date:  2022-07-27       Impact factor: 3.526

5.  Reproducibility of graph measures at the subject level using resting-state fMRI.

Authors:  Qian Ran; Tarik Jamoulle; Jolien Schaeverbeke; Karen Meersmans; Rik Vandenberghe; Patrick Dupont
Journal:  Brain Behav       Date:  2020-07-02       Impact factor: 2.708

6.  Why is Clinical fMRI in a Resting State?

Authors:  Erin E O'Connor; Thomas A Zeffiro
Journal:  Front Neurol       Date:  2019-04-24       Impact factor: 4.003

7.  Opening or closing eyes at rest modulates the functional connectivity of V1 with default and salience networks.

Authors:  Víctor Costumero; Elisenda Bueichekú; Jesús Adrián-Ventura; César Ávila
Journal:  Sci Rep       Date:  2020-06-04       Impact factor: 4.379

8.  Resting State Functional Connectivity of Brain With Electroconvulsive Therapy in Depression: Meta-Analysis to Understand Its Mechanisms.

Authors:  Preeti Sinha; Himanshu Joshi; Dhruva Ithal
Journal:  Front Hum Neurosci       Date:  2021-01-21       Impact factor: 3.169

9.  The YOUth cohort study: MRI protocol and test-retest reliability in adults.

Authors:  Elizabeth E L Buimer; Pascal Pas; Rachel M Brouwer; Martijn Froeling; Hans Hoogduin; Alexander Leemans; Peter Luijten; Bastiaan J van Nierop; Mathijs Raemaekers; Hugo G Schnack; Jalmar Teeuw; Matthijs Vink; Fredy Visser; Hilleke E Hulshoff Pol; René C W Mandl
Journal:  Dev Cogn Neurosci       Date:  2020-07-08       Impact factor: 6.464

10.  Typicality of functional connectivity robustly captures motion artifacts in rs-fMRI across datasets, atlases, and preprocessing pipelines.

Authors:  Jakub Kopal; Anna Pidnebesna; David Tomeček; Jaroslav Tintěra; Jaroslav Hlinka
Journal:  Hum Brain Mapp       Date:  2020-09-02       Impact factor: 5.038

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.