257 related articles for article (PubMed ID: 30403309)
1. Evaluation of different cerebrospinal fluid and white matter fMRI filtering strategies-Quantifying noise removal and neural signal preservation.
Bartoň M; Mareček R; Krajčovičová L; Slavíček T; Kašpárek T; Zemánková P; Říha P; Mikl M
Hum Brain Mapp; 2019 Mar; 40(4):1114-1138. PubMed ID: 30403309
[TBL] [Abstract][Full Text] [Related]
2. The nuisance of nuisance regression: spectral misspecification in a common approach to resting-state fMRI preprocessing reintroduces noise and obscures functional connectivity.
Hallquist MN; Hwang K; Luna B
Neuroimage; 2013 Nov; 82():208-25. PubMed ID: 23747457
[TBL] [Abstract][Full Text] [Related]
3. A multi-measure approach for assessing the performance of fMRI preprocessing strategies in resting-state functional connectivity.
Kassinopoulos M; Mitsis GD
Magn Reson Imaging; 2022 Jan; 85():228-250. PubMed ID: 34715292
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Real-Time Resting-State Functional Magnetic Resonance Imaging Using Averaged Sliding Windows with Partial Correlations and Regression of Confounding Signals.
Vakamudi K; Trapp C; Talaat K; Gao K; Sa De La Rocque Guimaraes B; Posse S
Brain Connect; 2020 Oct; 10(8):448-463. PubMed ID: 32892629
[No Abstract] [Full Text] [Related]
6. Evaluation of nuisance removal for functional MRI of rodent brain.
Chuang KH; Lee HL; Li Z; Chang WT; Nasrallah FA; Yeow LY; Singh KKDR
Neuroimage; 2019 Mar; 188():694-709. PubMed ID: 30593905
[TBL] [Abstract][Full Text] [Related]
7. Sensitivity of PPI analysis to differences in noise reduction strategies.
Barton M; Marecek R; Rektor I; Filip P; Janousova E; Mikl M
J Neurosci Methods; 2015 Sep; 253():218-32. PubMed ID: 26162613
[TBL] [Abstract][Full Text] [Related]
8. The impact of real-time fMRI denoising on online evaluation of brain activity and functional connectivity.
Misaki M; Bodurka J
J Neural Eng; 2021 Jul; 18(4):. PubMed ID: 34126595
[No Abstract] [Full Text] [Related]
9. Optimization of rs-fMRI Pre-processing for Enhanced Signal-Noise Separation, Test-Retest Reliability, and Group Discrimination.
Shirer WR; Jiang H; Price CM; Ng B; Greicius MD
Neuroimage; 2015 Aug; 117():67-79. PubMed ID: 25987368
[TBL] [Abstract][Full Text] [Related]
10. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI.
Behzadi Y; Restom K; Liau J; Liu TT
Neuroimage; 2007 Aug; 37(1):90-101. PubMed ID: 17560126
[TBL] [Abstract][Full Text] [Related]
11. Robust spinal cord resting-state fMRI using independent component analysis-based nuisance regression noise reduction.
Hu Y; Jin R; Li G; Luk KD; Wu EX
J Magn Reson Imaging; 2018 Nov; 48(5):1421-1431. PubMed ID: 29659087
[TBL] [Abstract][Full Text] [Related]
12. The optimized combination of aCompCor and ICA-AROMA to reduce motion and physiologic noise in task fMRI data.
Van Schuerbeek P; De Wandel L; Baeken C
Biomed Phys Eng Express; 2022 Jul; 8(5):. PubMed ID: 35378526
[TBL] [Abstract][Full Text] [Related]
13. Mapping the mouse brain with rs-fMRI: An optimized pipeline for functional network identification.
Zerbi V; Grandjean J; Rudin M; Wenderoth N
Neuroimage; 2015 Dec; 123():11-21. PubMed ID: 26296501
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. The impact of "physiological correction" on functional connectivity analysis of pharmacological resting state fMRI.
Khalili-Mahani N; Chang C; van Osch MJ; Veer IM; van Buchem MA; Dahan A; Beckmann CF; van Gerven JM; Rombouts SA
Neuroimage; 2013 Jan; 65():499-510. PubMed ID: 23022093
[TBL] [Abstract][Full Text] [Related]
16. Temporal non-local means filtering for studies of intrinsic brain connectivity from individual resting fMRI.
Li J; Choi S; Joshi AA; Wisnowski JL; Leahy RM
Med Image Anal; 2020 Apr; 61():101635. PubMed ID: 32007699
[TBL] [Abstract][Full Text] [Related]
17. Dynamic-flip-angle ECG-gating with nuisance signal regression improves resting-state BOLD functional connectivity mapping by reducing cardiogenic noise.
Hu C; Tokoglu F; Scheinost D; Qiu M; Shen X; Peters DC; Galiana G; Constable RT
Magn Reson Med; 2019 Sep; 82(3):911-923. PubMed ID: 31016782
[TBL] [Abstract][Full Text] [Related]
18. Denoising task-related fMRI: Balancing noise reduction against signal loss.
Hoeppli ME; Garenfeld MA; Mortensen CK; Nahman-Averbuch H; King CD; Coghill RC
Hum Brain Mapp; 2023 Dec; 44(17):5523-5546. PubMed ID: 37753711
[TBL] [Abstract][Full Text] [Related]
19. Automatic classification and removal of structured physiological noise for resting state functional connectivity MRI analysis.
Lee K; Khoo HM; Fourcade C; Gotman J; Grova C
Magn Reson Imaging; 2019 May; 58():97-107. PubMed ID: 30695721
[TBL] [Abstract][Full Text] [Related]
20. Beware detrending: Optimal preprocessing pipeline for low-frequency fluctuation analysis.
Woletz M; Hoffmann A; Tik M; Sladky R; Lanzenberger R; Robinson S; Windischberger C
Hum Brain Mapp; 2019 Apr; 40(5):1571-1582. PubMed ID: 30430691
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]