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Items: 1 to 20 of 66

1.

Order Patterns Networks (ORPAN)-a method to estimate time-evolving functional connectivity from multivariate time series.

Schinkel S, Zamora-López G, Dimigen O, Sommer W, Kurths J.

Front Comput Neurosci. 2012 Nov 7;6:91. doi: 10.3389/fncom.2012.00091. eCollection 2012.

2.

Estimation of the effective and functional human cortical connectivity with structural equation modeling and directed transfer function applied to high-resolution EEG.

Astolfi L, Cincotti F, Mattia D, Salinari S, Babiloni C, Basilisco A, Rossini PM, Ding L, Ni Y, He B, Marciani MG, Babiloni F.

Magn Reson Imaging. 2004 Dec;22(10):1457-70.

PMID:
15707795
3.

Recording human electrocorticographic (ECoG) signals for neuroscientific research and real-time functional cortical mapping.

Hill NJ, Gupta D, Brunner P, Gunduz A, Adamo MA, Ritaccio A, Schalk G.

J Vis Exp. 2012 Jun 26;(64). pii: 3993. doi: 10.3791/3993.

4.

[Dynamic paradigm in psychopathology: "chaos theory", from physics to psychiatry].

Pezard L, Nandrino JL.

Encephale. 2001 May-Jun;27(3):260-8. French.

PMID:
11488256
5.

Reconstructing Large-Scale Brain Resting-State Networks from High-Resolution EEG: Spatial and Temporal Comparisons with fMRI.

Yuan H, Ding L, Zhu M, Zotev V, Phillips R, Bodurka J.

Brain Connect. 2016 Mar;6(2):122-35. doi: 10.1089/brain.2014.0336. Epub 2015 Oct 13.

PMID:
26414793
6.

Task- and stimulus-related cortical networks in language production: Exploring similarity of MEG- and fMRI-derived functional connectivity.

Liljeström M, Stevenson C, Kujala J, Salmelin R.

Neuroimage. 2015 Oct 15;120:75-87. doi: 10.1016/j.neuroimage.2015.07.017. Epub 2015 Jul 11.

7.

Functional brain network organisation of children between 2 and 5 years derived from reconstructed activity of cortical sources of high-density EEG recordings.

Bathelt J, O'Reilly H, Clayden JD, Cross JH, de Haan M.

Neuroimage. 2013 Nov 15;82:595-604. doi: 10.1016/j.neuroimage.2013.06.003. Epub 2013 Jun 12.

PMID:
23769920
8.

New Markov-Shannon Entropy models to assess connectivity quality in complex networks: from molecular to cellular pathway, Parasite-Host, Neural, Industry, and Legal-Social networks.

Riera-Fernández P, Munteanu CR, Escobar M, Prado-Prado F, Martín-Romalde R, Pereira D, Villalba K, Duardo-Sánchez A, González-Díaz H.

J Theor Biol. 2012 Jan 21;293:174-88. doi: 10.1016/j.jtbi.2011.10.016. Epub 2011 Oct 25.

PMID:
22037044
9.

Functional brain networks in schizophrenia: a review.

Calhoun VD, Eichele T, Pearlson G.

Front Hum Neurosci. 2009 Aug 17;3:17. doi: 10.3389/neuro.09.017.2009. eCollection 2009.

10.

Noninvasive Electromagnetic Source Imaging and Granger Causality Analysis: An Electrophysiological Connectome (eConnectome) Approach.

Sohrabpour A, Ye S, Worrell GA, Zhang W, He B.

IEEE Trans Biomed Eng. 2016 Oct 11. doi: 10.1109/TBME.2016.2616474. [Epub ahead of print]

PMID:
28113204
11.

Dynamic small-world behavior in functional brain networks unveiled by an event-related networks approach.

Valencia M, Martinerie J, Dupont S, Chavez M.

Phys Rev E Stat Nonlin Soft Matter Phys. 2008 May;77(5 Pt 1):050905. Epub 2008 May 30.

PMID:
18643019
12.

Frequency-dependent functional connectivity within resting-state networks: an atlas-based MEG beamformer solution.

Hillebrand A, Barnes GR, Bosboom JL, Berendse HW, Stam CJ.

Neuroimage. 2012 Feb 15;59(4):3909-21. doi: 10.1016/j.neuroimage.2011.11.005. Epub 2011 Nov 9.

13.

Dynamic regional phase synchrony (DRePS): An Instantaneous Measure of Local fMRI Connectivity Within Spatially Clustered Brain Areas.

Omidvarnia A, Pedersen M, Walz JM, Vaughan DN, Abbott DF, Jackson GD.

Hum Brain Mapp. 2016 May;37(5):1970-85. doi: 10.1002/hbm.23151. Epub 2016 Mar 28.

PMID:
27019380
14.

In Vivo Observations of Rapid Scattered Light Changes Associated with Neurophysiological Activity.

Rector DM, Yao X, Harper RM, George JS.

In: Frostig RD, editor. In Vivo Optical Imaging of Brain Function. 2nd edition. Boca Raton (FL): CRC Press/Taylor & Francis; 2009. Chapter 5.

15.

Assessing cortical functional connectivity by linear inverse estimation and directed transfer function: simulations and application to real data.

Astolfi L, Cincotti F, Mattia D, Babiloni C, Carducci F, Basilisco A, Rossini PM, Salinari S, Ding L, Ni Y, He B, Babiloni F.

Clin Neurophysiol. 2005 Apr;116(4):920-32. Epub 2004 Dec 28.

PMID:
15792902
16.

Psychophysiological whole-brain network clustering based on connectivity dynamics analysis in naturalistic conditions.

Raz G, Shpigelman L, Jacob Y, Gonen T, Benjamini Y, Hendler T.

Hum Brain Mapp. 2016 Dec;37(12):4654-4672. doi: 10.1002/hbm.23335. Epub 2016 Aug 1.

PMID:
27477592
17.

Identification of Interictal Epileptic Networks from Dense-EEG.

Hassan M, Merlet I, Mheich A, Kabbara A, Biraben A, Nica A, Wendling F.

Brain Topogr. 2017 Jan;30(1):60-76. doi: 10.1007/s10548-016-0517-z. Epub 2016 Aug 22.

PMID:
27549639
18.

Choice of multivariate autoregressive model order affecting real network functional connectivity estimate.

Porcaro C, Zappasodi F, Rossini PM, Tecchio F.

Clin Neurophysiol. 2009 Feb;120(2):436-48. doi: 10.1016/j.clinph.2008.11.011. Epub 2008 Dec 23.

PMID:
19109060
19.

Functional holography of recorded neuronal networks activity.

Baruchi I, Ben-Jacob E.

Neuroinformatics. 2004;2(3):333-52.

PMID:
15365195
20.

A framework for simulating and estimating the state and functional topology of complex dynamic geometric networks.

Buibas M, Silva GA.

Neural Comput. 2011 Jan;23(1):183-214. doi: 10.1162/NECO_a_00065. Epub 2010 Oct 21.

PMID:
20964542

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