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Items: 1 to 20 of 21

1.

Meta-Analysis of the Structural Equation Models' Parameters for the Estimation of Brain Connectivity with fMRI.

Guàrdia-Olmos J, Peró-Cebollero M, Gudayol-Ferré E.

Front Behav Neurosci. 2018 Feb 15;12:19. doi: 10.3389/fnbeh.2018.00019. eCollection 2018. Review.

2.

Simulating laminar neuroimaging data for a visual delayed match-to-sample task.

Corbitt PT, Ulloa A, Horwitz B.

Neuroimage. 2018 Jun;173:199-222. doi: 10.1016/j.neuroimage.2018.02.037. Epub 2018 Feb 22.

PMID:
29476912
3.

Brain Decoding-Classification of Hand Written Digits from fMRI Data Employing Bayesian Networks.

Yargholi E, Hossein-Zadeh GA.

Front Hum Neurosci. 2016 Jul 13;10:351. doi: 10.3389/fnhum.2016.00351. eCollection 2016.

4.

Effective connectivity of visual word recognition and homophone orthographic errors.

Guàrdia-Olmos J, Peró-Cebollero M, Zarabozo-Hurtado D, González-Garrido AA, Gudayol-Ferré E.

Front Psychol. 2015 May 20;6:640. doi: 10.3389/fpsyg.2015.00640. eCollection 2015.

5.

Modeling the effective connectivity of the visual network in healthy and photosensitive, epileptic baboons.

Ákos Szabó C, Salinas FS, Li K, Franklin C, Leland MM, Fox PT, Laird AR, Narayana S.

Brain Struct Funct. 2016 May;221(4):2023-33. doi: 10.1007/s00429-015-1022-y. Epub 2015 Mar 7.

6.

The elusive concept of brain network. Comment on "Understanding brain networks and brain organization" by Luiz Pessoa.

Horwitz B.

Phys Life Rev. 2014 Sep;11(3):448-51. doi: 10.1016/j.plrev.2014.06.019. Epub 2014 Jun 24. No abstract available.

7.

Interpreting the effects of altered brain anatomical connectivity on fMRI functional connectivity: a role for computational neural modeling.

Horwitz B, Hwang C, Alstott J.

Front Hum Neurosci. 2013 Nov 11;7:649. doi: 10.3389/fnhum.2013.00649. eCollection 2013.

8.

PET neuroimaging: plenty of studies still need to be performed: comment on Cumming: "PET neuroimaging: the white elephant packs his trunk?".

Horwitz B, Simonyan K.

Neuroimage. 2014 Jan 1;84:1101-3. doi: 10.1016/j.neuroimage.2013.08.009. Epub 2013 Aug 15. No abstract available.

9.

Can quantum probability help analyze the behavior of functional brain networks?

Banerjee A, Horwitz B.

Behav Brain Sci. 2013 Jun;36(3):278-9. doi: 10.1017/S0140525X12002877.

10.

Neural plasticity and its contribution to functional recovery.

Sharma N, Classen J, Cohen LG.

Handb Clin Neurol. 2013;110:3-12. doi: 10.1016/B978-0-444-52901-5.00001-0. Review.

11.

Time-constrained functional connectivity analysis of cortical networks underlying phonological decoding in typically developing school-aged children: a magnetoencephalography study.

Simos PG, Rezaie R, Fletcher JM, Papanicolaou AC.

Brain Lang. 2013 May;125(2):156-64. doi: 10.1016/j.bandl.2012.07.003. Epub 2012 Aug 14.

12.

A role for neural modeling in the study of brain disorders.

Horwitz B, Banerjee A.

Front Syst Neurosci. 2012 Aug 6;6:57. doi: 10.3389/fnsys.2012.00057. eCollection 2012. No abstract available.

13.

Effective Connectivity Modeling for fMRI: Six Issues and Possible Solutions Using Linear Dynamic Systems.

Smith JF, Pillai A, Chen K, Horwitz B.

Front Syst Neurosci. 2012 Jan 18;5:104. doi: 10.3389/fnsys.2011.00104. eCollection 2011.

14.

Vector autoregression, structural equation modeling, and their synthesis in neuroimaging data analysis.

Chen G, Glen DR, Saad ZS, Paul Hamilton J, Thomason ME, Gotlib IH, Cox RW.

Comput Biol Med. 2011 Dec;41(12):1142-55. doi: 10.1016/j.compbiomed.2011.09.004. Epub 2011 Oct 4.

15.

Functional biomarkers for neurodegenerative disorders based on the network paradigm.

Horwitz B, Rowe JB.

Prog Neurobiol. 2011 Dec;95(4):505-9. doi: 10.1016/j.pneurobio.2011.07.005. Epub 2011 Jul 23.

16.

A linear structural equation model for covert verb generation based on independent component analysis of FMRI data from children and adolescents.

Karunanayaka P, Schmithorst VJ, Vannest J, Szaflarski JP, Plante E, Holland SK.

Front Syst Neurosci. 2011 Jun 1;5:29. doi: 10.3389/fnsys.2011.00029. eCollection 2011.

17.

Electrophysiological imaging of brain activity and connectivity-challenges and opportunities.

He B, Yang L, Wilke C, Yuan H.

IEEE Trans Biomed Eng. 2011 Jul;58(7):1918-31. doi: 10.1109/TBME.2011.2139210. Epub 2011 Apr 7. Review.

18.

Connectivity Analysis is Essential to Understand Neurological Disorders.

Rowe JB.

Front Syst Neurosci. 2010 Sep 17;4. pii: 144. doi: 10.3389/fnsys.2010.00144. eCollection 2010.

19.

Identifying abnormal connectivity in patients using dynamic causal modeling of FMRI responses.

Seghier ML, Zeidman P, Neufeld NH, Leff AP, Price CJ.

Front Syst Neurosci. 2010 Aug 26;4. pii: 142. doi: 10.3389/fnsys.2010.00142. eCollection 2010.

20.

Dynamic causal modelling of effective connectivity from fMRI: are results reproducible and sensitive to Parkinson's disease and its treatment?

Rowe JB, Hughes LE, Barker RA, Owen AM.

Neuroimage. 2010 Sep;52(3):1015-26. doi: 10.1016/j.neuroimage.2009.12.080. Epub 2010 Jan 4.

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