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Items: 1 to 20 of 533

1.

Investigating the neural basis for fMRI-based functional connectivity in a blocked design: application to interregional correlations and psycho-physiological interactions.

Kim J, Horwitz B.

Magn Reson Imaging. 2008 Jun;26(5):583-93. doi: 10.1016/j.mri.2007.10.011. Epub 2008 Jan 10.

PMID:
18191524
2.

Investigating the neural basis for functional and effective connectivity. Application to fMRI.

Horwitz B, Warner B, Fitzer J, Tagamets MA, Husain FT, Long TW.

Philos Trans R Soc Lond B Biol Sci. 2005 May 29;360(1457):1093-108.

3.

Brain network interactions in auditory, visual and linguistic processing.

Horwitz B, Braun AR.

Brain Lang. 2004 May;89(2):377-84.

PMID:
15068921
4.

A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data.

Wu GR, Liao W, Stramaglia S, Ding JR, Chen H, Marinazzo D.

Med Image Anal. 2013 Apr;17(3):365-74. doi: 10.1016/j.media.2013.01.003. Epub 2013 Jan 29.

PMID:
23422254
5.

Multimodal functional network connectivity: an EEG-fMRI fusion in network space.

Lei X, Ostwald D, Hu J, Qiu C, Porcaro C, Bagshaw AP, Yao D.

PLoS One. 2011;6(9):e24642. doi: 10.1371/journal.pone.0024642. Epub 2011 Sep 22.

6.

Functional connectivity in fMRI: A modeling approach for estimation and for relating to local circuits.

Winder R, Cortes CR, Reggia JA, Tagamets MA.

Neuroimage. 2007 Feb 1;34(3):1093-107. Epub 2006 Nov 28.

7.

Joint EEG/fMRI state space model for the detection of directed interactions in human brains--a simulation study.

Lenz M, Musso M, Linke Y, Tüscher O, Timmer J, Weiller C, Schelter B.

Physiol Meas. 2011 Nov;32(11):1725-36. doi: 10.1088/0967-3334/32/11/S01. Epub 2011 Oct 25.

PMID:
22027197
8.

Is Granger causality a viable technique for analyzing fMRI data?

Wen X, Rangarajan G, Ding M.

PLoS One. 2013 Jul 4;8(7):e67428. doi: 10.1371/journal.pone.0067428. Print 2013.

9.

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
10.

Large-scale neural models and dynamic causal modelling.

Lee L, Friston K, Horwitz B.

Neuroimage. 2006 May 1;30(4):1243-54. Epub 2006 Jan 4.

PMID:
16387513
11.

The identification of interacting networks in the brain using fMRI: Model selection, causality and deconvolution.

Roebroeck A, Formisano E, Goebel R.

Neuroimage. 2011 Sep 15;58(2):296-302. doi: 10.1016/j.neuroimage.2009.09.036. Epub 2009 Sep 25.

PMID:
19786106
12.
13.

EEG-fMRI reciprocal functional neuroimaging.

Yang L, Liu Z, He B.

Clin Neurophysiol. 2010 Aug;121(8):1240-50. doi: 10.1016/j.clinph.2010.02.153. Epub 2010 Apr 8.

14.

Volitional regulation of emotions produces distributed alterations in connectivity between visual, attention control, and default networks.

Sripada C, Angstadt M, Kessler D, Phan KL, Liberzon I, Evans GW, Welsh RC, Kim P, Swain JE.

Neuroimage. 2014 Apr 1;89:110-21. doi: 10.1016/j.neuroimage.2013.11.006. Epub 2013 Nov 15.

15.

How well does structural equation modeling reveal abnormal brain anatomical connections? An fMRI simulation study.

Kim J, Horwitz B.

Neuroimage. 2009 May 1;45(4):1190-8. doi: 10.1016/j.neuroimage.2009.01.006. Epub 2009 Jan 21.

16.

Probabilistic framework for brain connectivity from functional MR images.

Rajapakse JC, Wang Y, Zheng X, Zhou J.

IEEE Trans Med Imaging. 2008 Jun;27(6):825-33. doi: 10.1109/TMI.2008.915672.

PMID:
18541489
17.

Constructing fMRI connectivity networks: a whole brain functional parcellation method for node definition.

Maggioni E, Tana MG, Arrigoni F, Zucca C, Bianchi AM.

J Neurosci Methods. 2014 May 15;228:86-99. doi: 10.1016/j.jneumeth.2014.03.004. Epub 2014 Mar 25.

PMID:
24675050
18.

Combining independent component analysis and correlation analysis to probe interregional connectivity in fMRI task activation datasets.

Arfanakis K, Cordes D, Haughton VM, Moritz CH, Quigley MA, Meyerand ME.

Magn Reson Imaging. 2000 Oct;18(8):921-30.

PMID:
11121694
19.

Large-scale neural model validation of partial correlation analysis for effective connectivity investigation in functional MRI.

Marrelec G, Kim J, Doyon J, Horwitz B.

Hum Brain Mapp. 2009 Mar;30(3):941-50. doi: 10.1002/hbm.20555.

PMID:
18344176
20.

Granger causality analysis of fMRI BOLD signals is invariant to hemodynamic convolution but not downsampling.

Seth AK, Chorley P, Barnett LC.

Neuroimage. 2013 Jan 15;65:540-55. doi: 10.1016/j.neuroimage.2012.09.049. Epub 2012 Oct 2.

PMID:
23036449

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