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Items: 1 to 20 of 78

1.

Natural grouping of neural responses reveals spatially segregated clusters in prearcuate cortex.

Kiani R, Cueva CJ, Reppas JB, Peixoto D, Ryu SI, Newsome WT.

Neuron. 2015 Mar 18;85(6):1359-73. doi: 10.1016/j.neuron.2015.02.014. Epub 2015 Feb 26.

2.

Functional connectivity as revealed by spatial independent component analysis of fMRI measurements during rest.

van de Ven VG, Formisano E, Prvulovic D, Roeder CH, Linden DE.

Hum Brain Mapp. 2004 Jul;22(3):165-78.

PMID:
15195284
3.

Automated iterative reclustering framework for determining hierarchical functional networks in resting state fMRI.

Shams SM, Afshin-Pour B, Soltanian-Zadeh H, Hossein-Zadeh GA, Strother SC.

Hum Brain Mapp. 2015 Sep;36(9):3303-22. doi: 10.1002/hbm.22839. Epub 2015 Jun 2.

PMID:
26032457
4.

How not to study spontaneous activity.

Logothetis NK, Murayama Y, Augath M, Steffen T, Werner J, Oeltermann A.

Neuroimage. 2009 May 1;45(4):1080-9. doi: 10.1016/j.neuroimage.2009.01.010.

PMID:
19344685
5.

Co-activation patterns distinguish cortical modules, their connectivity and functional differentiation.

Eickhoff SB, Bzdok D, Laird AR, Roski C, Caspers S, Zilles K, Fox PT.

Neuroimage. 2011 Aug 1;57(3):938-49. doi: 10.1016/j.neuroimage.2011.05.021. Epub 2011 May 14.

6.

Mapping the mouse brain with rs-fMRI: An optimized pipeline for functional network identification.

Zerbi V, Grandjean J, Rudin M, Wenderoth N.

Neuroimage. 2015 Dec;123:11-21. doi: 10.1016/j.neuroimage.2015.07.090. Epub 2015 Aug 18.

PMID:
26296501
7.

Detecting overlapped functional clusters in resting state fMRI with Connected Iterative Scan: a graph theory based clustering algorithm.

Yan X, Kelley S, Goldberg M, Biswal BB.

J Neurosci Methods. 2011 Jul 15;199(1):108-18. doi: 10.1016/j.jneumeth.2011.05.001. Epub 2011 May 5.

PMID:
21565220
8.

Functional Connectivity-Based Parcellation of the Thalamus: An Unsupervised Clustering Method and Its Validity Investigation.

Fan Y, Nickerson LD, Li H, Ma Y, Lyu B, Miao X, Zhuo Y, Ge J, Zou Q, Gao JH.

Brain Connect. 2015 Dec;5(10):620-30. doi: 10.1089/brain.2015.0338. Epub 2015 Oct 1.

PMID:
26106821
9.

Determining hierarchical functional networks from auditory stimuli fMRI.

Patel RS, Bowman FD, Rilling JK.

Hum Brain Mapp. 2006 May;27(5):462-70.

PMID:
16568419
10.

Driving and driven architectures of directed small-world human brain functional networks.

Yan C, He Y.

PLoS One. 2011;6(8):e23460. doi: 10.1371/journal.pone.0023460. Epub 2011 Aug 12.

11.

Differential coupling of visual cortex with default or frontal-parietal network based on goals.

Chadick JZ, Gazzaley A.

Nat Neurosci. 2011 May 29;14(7):830-2. doi: 10.1038/nn.2823.

12.

Monkey cortex through fMRI glasses.

Vanduffel W, Zhu Q, Orban GA.

Neuron. 2014 Aug 6;83(3):533-50. doi: 10.1016/j.neuron.2014.07.015. Review.

13.

Finer parcellation reveals detailed correlational structure of resting-state fMRI signals.

Dornas JV, Braun J.

J Neurosci Methods. 2018 Jan 15;294:15-33. doi: 10.1016/j.jneumeth.2017.10.020. Epub 2017 Nov 1.

14.

Posterior cingulate cortex-related co-activation patterns: a resting state FMRI study in propofol-induced loss of consciousness.

Amico E, Gomez F, Di Perri C, Vanhaudenhuyse A, Lesenfants D, Boveroux P, Bonhomme V, Brichant JF, Marinazzo D, Laureys S.

PLoS One. 2014 Jun 30;9(6):e100012. doi: 10.1371/journal.pone.0100012. eCollection 2014.

15.

Broca's region: linking human brain functional connectivity data and non-human primate tracing anatomy studies.

Kelly C, Uddin LQ, Shehzad Z, Margulies DS, Castellanos FX, Milham MP, Petrides M.

Eur J Neurosci. 2010 Aug;32(3):383-98. doi: 10.1111/j.1460-9568.2010.07279.x. Epub 2010 Jul 21.

16.

Co-activation based parcellation of the human frontal pole.

Ray KL, Zald DH, Bludau S, Riedel MC, Bzdok D, Yanes J, Falcone KE, Amunts K, Fox PT, Eickhoff SB, Laird AR.

Neuroimage. 2015 Dec;123:200-11. doi: 10.1016/j.neuroimage.2015.07.072. Epub 2015 Aug 5.

17.

Optimizing affinity measures for parcellating brain structures based on resting state fMRI data: a validation on medial superior frontal cortex.

Cheng H, Wu H, Fan Y.

J Neurosci Methods. 2014 Nov 30;237:90-102. doi: 10.1016/j.jneumeth.2014.09.004. Epub 2014 Sep 16.

PMID:
25224735
18.

Parcellating an individual subject's cortical and subcortical brain structures using snowball sampling of resting-state correlations.

Wig GS, Laumann TO, Cohen AL, Power JD, Nelson SM, Glasser MF, Miezin FM, Snyder AZ, Schlaggar BL, Petersen SE.

Cereb Cortex. 2014 Aug;24(8):2036-54. doi: 10.1093/cercor/bht056. Epub 2013 Mar 8.

19.

Development and validation of consensus clustering-based framework for brain segmentation using resting fMRI.

Ryali S, Chen T, Padmanabhan A, Cai W, Menon V.

J Neurosci Methods. 2015 Jan 30;240:128-40. doi: 10.1016/j.jneumeth.2014.11.014. Epub 2014 Nov 29.

20.

Noisy neurons, neat networks.

Vanduffel W, Arsenault JT.

Neuron. 2015 Mar 18;85(6):1155-7. doi: 10.1016/j.neuron.2015.03.001.

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