91 related articles for article (PubMed ID: 30779930)
1. A multidimensional artefact-reduction approach to increase robustness of first-level fMRI analyses: Censoring vs. interpolating.
Wilke M; Baldeweg T
J Neurosci Methods; 2019 Apr; 318():56-68. PubMed ID: 30779930
[TBL] [Abstract][Full Text] [Related]
2. A comparison of denoising pipelines in high temporal resolution task-based functional magnetic resonance imaging data.
Mayer AR; Ling JM; Dodd AB; Shaff NA; Wertz CJ; Hanlon FM
Hum Brain Mapp; 2019 Sep; 40(13):3843-3859. PubMed ID: 31119818
[TBL] [Abstract][Full Text] [Related]
3. Real-time motion analytics during brain MRI improve data quality and reduce costs.
Dosenbach NUF; Koller JM; Earl EA; Miranda-Dominguez O; Klein RL; Van AN; Snyder AZ; Nagel BJ; Nigg JT; Nguyen AL; Wesevich V; Greene DJ; Fair DA
Neuroimage; 2017 Nov; 161():80-93. PubMed ID: 28803940
[TBL] [Abstract][Full Text] [Related]
4. Prospective motion correction in functional MRI using simultaneous multislice imaging and multislice-to-volume image registration.
Hoinkiss DC; Erhard P; Breutigam NJ; von Samson-Himmelstjerna F; Günther M; Porter DA
Neuroimage; 2019 Oct; 200():159-173. PubMed ID: 31226496
[TBL] [Abstract][Full Text] [Related]
5. Global motion detection and censoring in high-density diffuse optical tomography.
Sherafati A; Snyder AZ; Eggebrecht AT; Bergonzi KM; Burns-Yocum TM; Lugar HM; Ferradal SL; Robichaux-Viehoever A; Smyser CD; Palanca BJ; Hershey T; Culver JP
Hum Brain Mapp; 2020 Oct; 41(14):4093-4112. PubMed ID: 32648643
[TBL] [Abstract][Full Text] [Related]
6. An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI.
Parkes L; Fulcher B; Yücel M; Fornito A
Neuroimage; 2018 May; 171():415-436. PubMed ID: 29278773
[TBL] [Abstract][Full Text] [Related]
7. Exploring the relative efficacy of motion artefact correction techniques for EEG data acquired during simultaneous fMRI.
Daniel AJ; Smith JA; Spencer GS; Jorge J; Bowtell R; Mullinger KJ
Hum Brain Mapp; 2019 Feb; 40(2):578-596. PubMed ID: 30339731
[TBL] [Abstract][Full Text] [Related]
8. Less is more: balancing noise reduction and data retention in fMRI with data-driven scrubbing.
Phạm DĐ; McDonald DJ; Ding L; Nebel MB; Mejia AF
Neuroimage; 2023 Apr; 270():119972. PubMed ID: 36842522
[TBL] [Abstract][Full Text] [Related]
9. A method to mitigate spatio-temporally varying task-correlated motion artifacts from overt-speech fMRI paradigms in aphasia.
Krishnamurthy V; Krishnamurthy LC; Meadows ML; Gale MK; Ji B; Gopinath K; Crosson B
Hum Brain Mapp; 2021 Mar; 42(4):1116-1129. PubMed ID: 33210749
[TBL] [Abstract][Full Text] [Related]
10. An improved model of motion-related signal changes in fMRI.
Patriat R; Reynolds RC; Birn RM
Neuroimage; 2017 Jan; 144(Pt A):74-82. PubMed ID: 27570108
[TBL] [Abstract][Full Text] [Related]
11. Insight and inference for DVARS.
Afyouni S; Nichols TE
Neuroimage; 2018 May; 172():291-312. PubMed ID: 29307608
[TBL] [Abstract][Full Text] [Related]
12. Correction of respiratory artifacts in MRI head motion estimates.
Fair DA; Miranda-Dominguez O; Snyder AZ; Perrone A; Earl EA; Van AN; Koller JM; Feczko E; Tisdall MD; van der Kouwe A; Klein RL; Mirro AE; Hampton JM; Adeyemo B; Laumann TO; Gratton C; Greene DJ; Schlaggar BL; Hagler DJ; Watts R; Garavan H; Barch DM; Nigg JT; Petersen SE; Dale AM; Feldstein-Ewing SW; Nagel BJ; Dosenbach NUF
Neuroimage; 2020 Mar; 208():116400. PubMed ID: 31778819
[TBL] [Abstract][Full Text] [Related]
13. Modular preprocessing pipelines can reintroduce artifacts into fMRI data.
Lindquist MA; Geuter S; Wager TD; Caffo BS
Hum Brain Mapp; 2019 Jun; 40(8):2358-2376. PubMed ID: 30666750
[TBL] [Abstract][Full Text] [Related]
14. Statistical improvements in functional magnetic resonance imaging analyses produced by censoring high-motion data points.
Siegel JS; Power JD; Dubis JW; Vogel AC; Church JA; Schlaggar BL; Petersen SE
Hum Brain Mapp; 2014 May; 35(5):1981-96. PubMed ID: 23861343
[TBL] [Abstract][Full Text] [Related]
15. Model-based physiological noise removal in fast fMRI.
Agrawal U; Brown EN; Lewis LD
Neuroimage; 2020 Jan; 205():116231. PubMed ID: 31589991
[TBL] [Abstract][Full Text] [Related]
16. An information-theoretic criterion for intrasubject alignment of FMRI time series: motion corrected independent component analysis.
Liao R; Krolik JL; McKeown MJ
IEEE Trans Med Imaging; 2005 Jan; 24(1):29-44. PubMed ID: 15638184
[TBL] [Abstract][Full Text] [Related]
17. Reducing the Effects of Motion Artifacts in fMRI: A Structured Matrix Completion Approach.
Balachandrasekaran A; Cohen AL; Afacan O; Warfield SK; Gholipour A
IEEE Trans Med Imaging; 2022 Jan; 41(1):172-185. PubMed ID: 34432631
[TBL] [Abstract][Full Text] [Related]
18. Removal of BCG artefact from concurrent fMRI-EEG recordings based on EMD and PCA.
Javed E; Faye I; Malik AS; Abdullah JM
J Neurosci Methods; 2017 Nov; 291():150-165. PubMed ID: 28842191
[TBL] [Abstract][Full Text] [Related]
19. A robust method for suppressing motion-induced coil sensitivity variations during prospective correction of head motion in fMRI.
Faraji-Dana Z; Tam F; Chen JJ; Graham SJ
Magn Reson Imaging; 2016 Oct; 34(8):1206-19. PubMed ID: 27451407
[TBL] [Abstract][Full Text] [Related]
20. Towards motion insensitive EEG-fMRI: Correcting motion-induced voltages and gradient artefact instability in EEG using an fMRI prospective motion correction (PMC) system.
Maziero D; Velasco TR; Hunt N; Payne E; Lemieux L; Salmon CEG; Carmichael DW
Neuroimage; 2016 Sep; 138():13-27. PubMed ID: 27157789
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
