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Items: 1 to 20 of 87

1.

Parametric analysis of fMRI data using linear systems methods.

Cohen MS.

Neuroimage. 1997 Aug;6(2):93-103.

PMID:
9299383
2.

Paradigm-dependent modulation of event-related fMRI activity evoked by the oddball task.

Clark VP, Fannon S, Lai S, Benson R.

Hum Brain Mapp. 2001 Oct;14(2):116-27.

PMID:
11500995
3.

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
4.

A trial-based experimental design for fMRI.

Zarahn E, Aguirre G, D'Esposito M.

Neuroimage. 1997 Aug;6(2):122-38.

PMID:
9299386
5.

Analysis of functional MRI data based on an estimation of the hemodynamic response in the human brain.

Lee SK, Yoon HW, Chung JY, Song MS, Park H.

J Neurosci Methods. 2004 Oct 15;139(1):91-8.

PMID:
15351525
6.

Fuzzy cluster analysis of high-field functional MRI data.

Windischberger C, Barth M, Lamm C, Schroeder L, Bauer H, Gur RC, Moser E.

Artif Intell Med. 2003 Nov;29(3):203-23.

PMID:
14656487
7.

Independent vector analysis (IVA): multivariate approach for fMRI group study.

Lee JH, Lee TW, Jolesz FA, Yoo SS.

Neuroimage. 2008 Mar 1;40(1):86-109. doi: 10.1016/j.neuroimage.2007.11.019. Epub 2007 Nov 28.

PMID:
18165105
8.
9.
10.

Motion or activity: their role in intra- and inter-subject variation in fMRI.

Lund TE, Nørgaard MD, Rostrup E, Rowe JB, Paulson OB.

Neuroimage. 2005 Jul 1;26(3):960-4. Epub 2005 Mar 29.

PMID:
15955506
11.

A comparison of Gamma and Gaussian dynamic convolution models of the fMRI BOLD response.

Chen H, Yao D, Liu Z.

Magn Reson Imaging. 2005 Jan;23(1):83-8.

PMID:
15733792
12.

[Data processing of functional magnetic resonance of brain based on statistical parametric mapping].

Li W, Wang H.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2007 Apr;24(2):477-80. Review. Chinese.

PMID:
17591287
13.
14.

fMRI activation maps based on the NN-ARx model.

Riera J, Bosch J, Yamashita O, Kawashima R, Sadato N, Okada T, Ozaki T.

Neuroimage. 2004 Oct;23(2):680-97.

PMID:
15488418
15.

Time-resolved analysis of fMRI signal changes using Brain Activation Movies.

Windischberger C, Cunnington R, Lamm C, Lanzenberger R, Langenberger H, Deecke L, Bauer H, Moser E.

J Neurosci Methods. 2008 Mar 30;169(1):222-30. doi: 10.1016/j.jneumeth.2007.11.033. Epub 2007 Dec 14.

PMID:
18207248
16.

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
17.

A signal subspace approach for modeling the hemodynamic response function in fMRI.

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

Magn Reson Imaging. 2003 Oct;21(8):835-43.

PMID:
14599533
18.

Accounting for nonlinear BOLD effects in fMRI: parameter estimates and a model for prediction in rapid event-related studies.

Wager TD, Vazquez A, Hernandez L, Noll DC.

Neuroimage. 2005 Mar;25(1):206-18. Epub 2005 Jan 4.

PMID:
15734356
19.

CBF changes during brain activation: fMRI vs. PET.

Feng CM, Narayana S, Lancaster JL, Jerabek PA, Arnow TL, Zhu F, Tan LH, Fox PT, Gao JH.

Neuroimage. 2004 May;22(1):443-6.

PMID:
15110037
20.

Single trial variability of EEG and fMRI responses to visual stimuli.

Bagshaw AP, Warbrick T.

Neuroimage. 2007 Nov 1;38(2):280-92. Epub 2007 Aug 11.

PMID:
17826182
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