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Items: 1 to 20 of 32

1.

The Pathoconnectivity Profile of Alzheimer's Disease: A Morphometric Coalteration Network Analysis.

Manuello J, Nani A, Premi E, Borroni B, Costa T, Tatu K, Liloia D, Duca S, Cauda F.

Front Neurol. 2018 Jan 25;8:739. doi: 10.3389/fneur.2017.00739. eCollection 2017.

2.

The morphometric co-atrophy networking of schizophrenia, autistic and obsessive spectrum disorders.

Cauda F, Nani A, Costa T, Palermo S, Tatu K, Manuello J, Duca S, Fox PT, Keller R.

Hum Brain Mapp. 2018 May;39(5):1898-1928. doi: 10.1002/hbm.23952. Epub 2018 Jan 18.

PMID:
29349864
3.

The impact of hemodynamic variability and signal mixing on the identifiability of effective connectivity structures in BOLD fMRI.

Bielczyk NZ, Llera A, Buitelaar JK, Glennon JC, Beckmann CF.

Brain Behav. 2017 Jul 20;7(8):e00777. doi: 10.1002/brb3.777. eCollection 2017 Aug.

4.

From connectome to cognition: The search for mechanism in human functional brain networks.

Mill RD, Ito T, Cole MW.

Neuroimage. 2017 Oct 15;160:124-139. doi: 10.1016/j.neuroimage.2017.01.060. Epub 2017 Jan 26.

PMID:
28131891
5.

Empirical validation of directed functional connectivity.

Mill RD, Bagic A, Bostan A, Schneider W, Cole MW.

Neuroimage. 2017 Feb 1;146:275-287. doi: 10.1016/j.neuroimage.2016.11.037. Epub 2016 Nov 14.

6.

Experimental Validation of Dynamic Granger Causality for Inferring Stimulus-Evoked Sub-100 ms Timing Differences from fMRI.

Wang Y, Katwal S, Rogers B, Gore J, Deshpande G.

IEEE Trans Neural Syst Rehabil Eng. 2017 Jun;25(6):539-546. doi: 10.1109/TNSRE.2016.2593655. Epub 2016 Jul 20.

PMID:
27448367
7.

Learning Effective Connectivity Network Structure from fMRI Data Based on Artificial Immune Algorithm.

Ji J, Liu J, Liang P, Zhang A.

PLoS One. 2016 Apr 5;11(4):e0152600. doi: 10.1371/journal.pone.0152600. eCollection 2016.

8.

Estimation of Directed Effective Connectivity from fMRI Functional Connectivity Hints at Asymmetries of Cortical Connectome.

Gilson M, Moreno-Bote R, Ponce-Alvarez A, Ritter P, Deco G.

PLoS Comput Biol. 2016 Mar 16;12(3):e1004762. doi: 10.1371/journal.pcbi.1004762. eCollection 2016 Mar.

9.

Combining optogenetic stimulation and fMRI to validate a multivariate dynamical systems model for estimating causal brain interactions.

Ryali S, Shih YI, Chen T, Kochalka J, Albaugh D, Fang Z, Supekar K, Lee JH, Menon V.

Neuroimage. 2016 May 15;132:398-405. doi: 10.1016/j.neuroimage.2016.02.067. Epub 2016 Mar 2.

10.

A Bayesian hierarchical framework for modeling brain connectivity for neuroimaging data.

Chen S, Bowman FD, Mayberg HS.

Biometrics. 2016 Jun;72(2):596-605. doi: 10.1111/biom.12433. Epub 2015 Oct 26.

11.

Measuring Asymmetric Interactions in Resting State Brain Networks.

Joshi AA, Salloum R, Bhushan C, Leahy RM.

Inf Process Med Imaging. 2015;24:399-410.

12.

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.

13.

A multimodal approach for determining brain networks by jointly modeling functional and structural connectivity.

Xue W, Bowman FD, Pileggi AV, Mayer AR.

Front Comput Neurosci. 2015 Feb 20;9:22. doi: 10.3389/fncom.2015.00022. eCollection 2015.

14.

Neural and cortisol responses during play with human and computer partners in children with autism.

Edmiston EK, Merkle K, Corbett BA.

Soc Cogn Affect Neurosci. 2015 Aug;10(8):1074-83. doi: 10.1093/scan/nsu159. Epub 2014 Dec 30.

15.

Brain Imaging Analysis.

Bowman FD.

Annu Rev Stat Appl. 2014 Jan;1:61-85.

16.

Identifying functional co-activation patterns in neuroimaging studies via poisson graphical models.

Xue W, Kang J, Bowman FD, Wager TD, Guo J.

Biometrics. 2014 Dec;70(4):812-22. doi: 10.1111/biom.12216. Epub 2014 Aug 21.

17.

A multivariate distance-based analytic framework for connectome-wide association studies.

Shehzad Z, Kelly C, Reiss PT, Cameron Craddock R, Emerson JW, McMahon K, Copland DA, Castellanos FX, Milham MP.

Neuroimage. 2014 Jun;93 Pt 1:74-94. doi: 10.1016/j.neuroimage.2014.02.024. Epub 2014 Feb 28.

18.

Functional connectomics from resting-state fMRI.

Smith SM, Vidaurre D, Beckmann CF, Glasser MF, Jenkinson M, Miller KL, Nichols TE, Robinson EC, Salimi-Khorshidi G, Woolrich MW, Barch DM, Uğurbil K, Van Essen DC.

Trends Cogn Sci. 2013 Dec;17(12):666-82. doi: 10.1016/j.tics.2013.09.016. Epub 2013 Nov 12. Review.

19.

Imaging human connectomes at the macroscale.

Craddock RC, Jbabdi S, Yan CG, Vogelstein JT, Castellanos FX, Di Martino A, Kelly C, Heberlein K, Colcombe S, Milham MP.

Nat Methods. 2013 Jun;10(6):524-39. doi: 10.1038/nmeth.2482. Review.

20.

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