Literature DB >> 23153967

Single subject fMRI test-retest reliability metrics and confounding factors.

Krzysztof J Gorgolewski1, Amos J Storkey, Mark E Bastin, Ian Whittle, Cyril Pernet.   

Abstract

While the fMRI test-retest reliability has been mainly investigated from the point of view of group level studies, here we present analyses and results for single-subject test-retest reliability. One important aspect of group level reliability is that not only does it depend on between-session variance (test-retest), but also on between-subject variance. This has partly led to a debate regarding which reliability metric to use and how different sources of noise contribute to between-session variance. Focusing on single subject reliability allows considering between-session only. In this study, we measured test-retest reliability in four behavioural tasks (motor mapping, covert verb generation, overt word repetition, and a landmark identification task) to ensure generalisation of the results and at three levels of data processing (time-series correlation, t value variance, and overlap of thresholded maps) to understand how each step influences the other and how confounding factors influence reliability at each of these steps. The contributions of confounding factors (scanner noise, subject motion, and coregistration) were investigated using multiple regression and relative importance analyses at each step. Finally, to achieve a fuller picture of what constitutes a reliable task, we introduced a bootstrap technique of within- vs. between-subject variance. Our results show that (i) scanner noise and coregistration errors have little contribution to between-session variance (ii) subject motion (especially correlated with the stimuli) can have detrimental effects on reliability (iii) different tasks lead to different reliability results. This suggests that between-session variance in fMRI is mostly caused by the variability of underlying cognitive processes and motion correlated with the stimuli rather than technical limitations of data processing.
Copyright © 2012 Elsevier Inc. All rights reserved.

Mesh:

Year:  2012        PMID: 23153967     DOI: 10.1016/j.neuroimage.2012.10.085

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  42 in total

1.  Test-retest reliability of effective connectivity in the face perception network.

Authors:  Stefan Frässle; Frieder Michel Paulus; Sören Krach; Andreas Jansen
Journal:  Hum Brain Mapp       Date:  2015-11-27       Impact factor: 5.038

Review 2.  Assessing Repair in Multiple Sclerosis: Outcomes for Phase II Clinical Trials.

Authors:  Maria Pia Sormani; Matteo Pardini
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

3.  Test-Retest Reliability of Functional Magnetic Resonance Imaging Activation for a Vergence Eye Movement Task.

Authors:  Cristian Morales; Suril Gohel; Xiaobo Li; Mitchell Scheiman; Bharat B Biswal; Elio M Santos; Chang Yaramothu; Tara L Alvarez
Journal:  Neurosci Bull       Date:  2019-12-23       Impact factor: 5.203

4.  Randomized trial of a dissonance-based transdiagnostic group treatment for eating disorders: An evaluation of target engagement.

Authors:  Eric Stice; Sonja Yokum; Paul Rohde; Heather Shaw; Jeff M Gau; Sarah Johnson; Aviva Johns
Journal:  J Consult Clin Psychol       Date:  2019-09

5.  Resting-state test-retest reliability of a priori defined canonical networks over different preprocessing steps.

Authors:  Deepthi P Varikuti; Felix Hoffstaedter; Sarah Genon; Holger Schwender; Andrew T Reid; Simon B Eickhoff
Journal:  Brain Struct Funct       Date:  2016-08-22       Impact factor: 3.270

6.  Repeatability of language fMRI lateralization and localization metrics in brain tumor patients.

Authors:  Shruti Agarwal; Jun Hua; Haris I Sair; Sachin Gujar; Chetan Bettegowda; Hanzhang Lu; Jay J Pillai
Journal:  Hum Brain Mapp       Date:  2018-08-04       Impact factor: 5.038

7.  Specificity, reliability and sensitivity of social brain responses during spontaneous mentalizing.

Authors:  Carolin Moessnang; Axel Schäfer; Edda Bilek; Paul Roux; Kristina Otto; Sarah Baumeister; Sarah Hohmann; Luise Poustka; Daniel Brandeis; Tobias Banaschewski; Andreas Meyer-Lindenberg; Heike Tost
Journal:  Soc Cogn Affect Neurosci       Date:  2016-07-21       Impact factor: 3.436

8.  A naturalistic neuroimaging database for understanding the brain using ecological stimuli.

Authors:  Sarah Aliko; Jiawen Huang; Florin Gheorghiu; Stefanie Meliss; Jeremy I Skipper
Journal:  Sci Data       Date:  2020-10-13       Impact factor: 6.444

9.  Test-retest reliability of fMRI-measured brain activity during decision making under risk.

Authors:  Ozlem Korucuoglu; Michael P Harms; Serguei V Astafiev; James T Kennedy; Semyon Golosheykin; Deanna M Barch; Andrey P Anokhin
Journal:  Neuroimage       Date:  2020-03-20       Impact factor: 6.556

Review 10.  Pupillary motility: bringing neuroscience to the psychiatry clinic of the future.

Authors:  Simona Graur; Greg Siegle
Journal:  Curr Neurol Neurosci Rep       Date:  2013-08       Impact factor: 5.081

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.