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Items: 1 to 20 of 108

1.

Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): use of a cluster-size threshold.

Forman SD, Cohen JD, Fitzgerald M, Eddy WF, Mintun MA, Noll DC.

Magn Reson Med. 1995 May;33(5):636-47.

PMID:
7596267
2.

Cluster-extent based thresholding in fMRI analyses: pitfalls and recommendations.

Woo CW, Krishnan A, Wager TD.

Neuroimage. 2014 May 1;91:412-9. doi: 10.1016/j.neuroimage.2013.12.058. Epub 2014 Jan 8.

3.

Quantifying and comparing region-of-interest activation patterns in functional brain MR imaging: methodology considerations.

Constable RT, Skudlarski P, Mencl E, Pugh KR, Fulbright RK, Lacadie C, Shaywitz SE, Shaywitz BA.

Magn Reson Imaging. 1998 Apr;16(3):289-300.

PMID:
9621970
4.
5.

Analyzing the connectivity between regions of interest: an approach based on cluster Granger causality for fMRI data analysis.

Sato JR, Fujita A, Cardoso EF, Thomaz CE, Brammer MJ, Amaro E Jr.

Neuroimage. 2010 Oct 1;52(4):1444-55. doi: 10.1016/j.neuroimage.2010.05.022. Epub 2010 Jun 1.

PMID:
20472076
6.
7.
8.

Hidden Markov event sequence models: toward unsupervised functional MRI brain mapping.

Faisan S, Thoraval L, Armspach JP, Foucher JR, Metz-Lutz MN, Heitz F.

Acad Radiol. 2005 Jan;12(1):25-36.

PMID:
15691723
9.
10.

Detecting activations in PET and fMRI: levels of inference and power.

Friston KJ, Holmes A, Poline JB, Price CJ, Frith CD.

Neuroimage. 1996 Dec;4(3 Pt 1):223-35.

PMID:
9345513
11.

Application of mean-shift clustering to blood oxygen level dependent functional MRI activation detection.

Ai L, Gao X, Xiong J.

BMC Med Imaging. 2014 Feb 4;14:6. doi: 10.1186/1471-2342-14-6.

12.
13.

Quantification in functional magnetic resonance imaging: fuzzy clustering vs. correlation analysis.

Baumgartner R, Windischberger C, Moser E.

Magn Reson Imaging. 1998;16(2):115-25.

PMID:
9508268
14.

An improved temporal clustering analysis method applied to whole-brain data in fMRI study.

Lu N, Shan BC, Xu JY, Wang W, Li KC.

Magn Reson Imaging. 2007 Jan;25(1):57-62. Epub 2006 Nov 28.

PMID:
17222715
15.

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.

PMID:
15707252
16.

Spatio-temporal analysis of auditory cortex activation as detected with silent event related fMRI.

Christensen WF, Yetkin FZ.

Stat Med. 2005 Aug 30;24(16):2539-56.

PMID:
15909287
17.

Quantile estimation to derive optimized test thresholds for random field statistics.

Hinrichs H, Scholz M, Noesselt T, Heinze HJ.

Neuroimage. 2005 Aug 1;27(1):116-29.

PMID:
15955713
18.

Controlling the false positive rate in fuzzy clustering using randomization: application to fMRI activation detection.

Jahanian H, Hossein-Zadeh GA, Soltanian-Zadeh H, Ardekani BA.

Magn Reson Imaging. 2004 Jun;22(5):631-8.

PMID:
15172056
19.

False positives in neuroimaging genetics using voxel-based morphometry data.

Silver M, Montana G, Nichols TE; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2011 Jan 15;54(2):992-1000. doi: 10.1016/j.neuroimage.2010.08.049. Epub 2010 Sep 20.

20.

False cerebral activation on BOLD functional MR images: study of low-amplitude motion weakly correlated to stimulus.

Field AS, Yen YF, Burdette JH, Elster AD.

AJNR Am J Neuroradiol. 2000 Sep;21(8):1388-96.

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