These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
2. Advantages and disadvantages of a fast fMRI sequence in the context of EEG-fMRI investigation of epilepsy patients: A realistic simulation study. Safi-Harb M; Proulx S; von Ellenrieder N; Gotman J Neuroimage; 2015 Oct; 119():20-32. PubMed ID: 26093328 [TBL] [Abstract][Full Text] [Related]
3. Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models. Faisan S; Thoraval L; Armspach JP; Metz-Lutz MN; Heitz F IEEE Trans Med Imaging; 2005 Feb; 24(2):263-76. PubMed ID: 15707252 [TBL] [Abstract][Full Text] [Related]
4. The influence of spatial resolution and smoothing on the detectability of resting-state and task fMRI. Molloy EK; Meyerand ME; Birn RM Neuroimage; 2014 Feb; 86():221-30. PubMed ID: 24021836 [TBL] [Abstract][Full Text] [Related]
5. Likelihood-based hypothesis tests for brain activation detection from MRI data disturbed by colored noise: a simulation study. den Dekker AJ; Poot DH; Bos R; Sijbers J IEEE Trans Med Imaging; 2009 Feb; 28(2):287-96. PubMed ID: 19188115 [TBL] [Abstract][Full Text] [Related]
7. Activation detection in fMRI using a maximum energy ratio statistic obtained by adaptive spatial filtering. Hossein-Zadeh GA; Ardekani BA; Soltanian-Zadeh H IEEE Trans Med Imaging; 2003 Jul; 22(7):795-805. PubMed ID: 12906234 [TBL] [Abstract][Full Text] [Related]
8. False fMRI activation after motion correction. Yakupov R; Lei J; Hoffmann MB; Speck O Hum Brain Mapp; 2017 Sep; 38(9):4497-4510. PubMed ID: 28580597 [TBL] [Abstract][Full Text] [Related]
9. Sensitivity enhancement of task-evoked fMRI using ensemble empirical mode decomposition. Lin SH; Lin GH; Tsai PJ; Hsu AL; Lo MT; Yang AC; Lin CP; Wu CW J Neurosci Methods; 2016 Jan; 258():56-66. PubMed ID: 26523767 [TBL] [Abstract][Full Text] [Related]
10. Incorporating spatial dependence into Bayesian multiple testing of statistical parametric maps in functional neuroimaging. Brown DA; Lazar NA; Datta GS; Jang W; McDowell JE Neuroimage; 2014 Jan; 84():97-112. PubMed ID: 23981437 [TBL] [Abstract][Full Text] [Related]
11. Adaptive denoising of event-related functional magnetic resonance imaging data using spectral subtraction. Kadah YM IEEE Trans Biomed Eng; 2004 Nov; 51(11):1944-53. PubMed ID: 15536896 [TBL] [Abstract][Full Text] [Related]
12. Parametric response surface models for analysis of multi-site fMRI data. Kim S; Smyth P; Stern H; Turner J Med Image Comput Comput Assist Interv; 2005; 8(Pt 1):352-9. PubMed ID: 16685865 [TBL] [Abstract][Full Text] [Related]
13. Making the most of fMRI at 7 T by suppressing spontaneous signal fluctuations. Bianciardi M; van Gelderen P; Duyn JH; Fukunaga M; de Zwart JA Neuroimage; 2009 Jan; 44(2):448-54. PubMed ID: 18835582 [TBL] [Abstract][Full Text] [Related]
14. Accounting for Non-Gaussian Sources of Spatial Correlation in Parametric Functional Magnetic Resonance Imaging Paradigms II: A Method to Obtain First-Level Analysis Residuals with Uniform and Gaussian Spatial Autocorrelation Function and Independent and Identically Distributed Time-Series. Gopinath K; Krishnamurthy V; Lacey S; Sathian K Brain Connect; 2018 Feb; 8(1):10-21. PubMed ID: 29161884 [TBL] [Abstract][Full Text] [Related]
17. Lowering the thermal noise barrier in functional brain mapping with magnetic resonance imaging. Vizioli L; Moeller S; Dowdle L; Akçakaya M; De Martino F; Yacoub E; Uğurbil K Nat Commun; 2021 Aug; 12(1):5181. PubMed ID: 34462435 [TBL] [Abstract][Full Text] [Related]
18. From EEG to BOLD: brain mapping and estimating transfer functions in simultaneous EEG-fMRI acquisitions. Sato JR; Rondinoni C; Sturzbecher M; de Araujo DB; Amaro E Neuroimage; 2010 May; 50(4):1416-26. PubMed ID: 20116435 [TBL] [Abstract][Full Text] [Related]
19. A kernel machine-based fMRI physiological noise removal method. Song X; Chen NK; Gaur P Magn Reson Imaging; 2014 Feb; 32(2):150-62. PubMed ID: 24321306 [TBL] [Abstract][Full Text] [Related]
20. Using ICA and realistic BOLD models to obtain joint EEG/fMRI solutions to the problem of source localization. Brookings T; Ortigue S; Grafton S; Carlson J Neuroimage; 2009 Jan; 44(2):411-20. PubMed ID: 18845263 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]