Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 101


The individual functional connectome is unique and stable over months to years.

Horien C, Shen X, Scheinost D, Constable RT.

Neuroimage. 2019 Feb 2;189:676-687. doi: 10.1016/j.neuroimage.2019.02.002. [Epub ahead of print]


Thresholding functional connectomes by means of mixture modeling.

Bielczyk NZ, Walocha F, Ebel PW, Haak KV, Llera A, Buitelaar JK, Glennon JC, Beckmann CF.

Neuroimage. 2018 May 1;171:402-414. doi: 10.1016/j.neuroimage.2018.01.003. Epub 2018 Jan 5.


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.


Identifying and characterizing resting state networks in temporally dynamic functional connectomes.

Zhang X, Li X, Jin C, Chen H, Li K, Zhu D, Jiang X, Zhang T, Lv J, Hu X, Han J, Zhao Q, Guo L, Li L, Liu T.

Brain Topogr. 2014 Nov;27(6):747-65. doi: 10.1007/s10548-014-0357-7. Epub 2014 Jun 6.


The structural-functional connectome and the default mode network of the human brain.

Horn A, Ostwald D, Reisert M, Blankenburg F.

Neuroimage. 2014 Nov 15;102 Pt 1:142-51. doi: 10.1016/j.neuroimage.2013.09.069. Epub 2013 Oct 4.


The significance of negative correlations in brain connectivity.

Zhan L, Jenkins LM, Wolfson OE, GadElkarim JJ, Nocito K, Thompson PM, Ajilore OA, Chung MK, Leow AD.

J Comp Neurol. 2017 Oct 15;525(15):3251-3265. doi: 10.1002/cne.24274. Epub 2017 Jul 16.


Functional brain hubs and their test-retest reliability: a multiband resting-state functional MRI study.

Liao XH, Xia MR, Xu T, Dai ZJ, Cao XY, Niu HJ, Zuo XN, Zang YF, He Y.

Neuroimage. 2013 Dec;83:969-82. doi: 10.1016/j.neuroimage.2013.07.058. Epub 2013 Jul 27.


Normative pathways in the functional connectome.

Leming M, Su L, Chattopadhyay S, Suckling J.

Neuroimage. 2019 Jan 1;184:317-334. doi: 10.1016/j.neuroimage.2018.09.028. Epub 2018 Sep 14.


A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics.

Yan CG, Cheung B, Kelly C, Colcombe S, Craddock RC, Di Martino A, Li Q, Zuo XN, Castellanos FX, Milham MP.

Neuroimage. 2013 Aug 1;76:183-201. doi: 10.1016/j.neuroimage.2013.03.004. Epub 2013 Mar 15.


Dissociable Changes of Frontal and Parietal Cortices in Inherent Functional Flexibility across the Human Life Span.

Yin D, Liu W, Zeljic K, Wang Z, Lv Q, Fan M, Cheng W, Wang Z.

J Neurosci. 2016 Sep 28;36(39):10060-74. doi: 10.1523/JNEUROSCI.1476-16.2016. Epub 2016 Sep 28.


Aerobic Fitness Explains Individual Differences in the Functional Brain Connectome of Healthy Young Adults.

Talukdar T, Nikolaidis A, Zwilling CE, Paul EJ, Hillman CH, Cohen NJ, Kramer AF, Barbey AK.

Cereb Cortex. 2018 Oct 1;28(10):3600-3609. doi: 10.1093/cercor/bhx232.


Proportional thresholding in resting-state fMRI functional connectivity networks and consequences for patient-control connectome studies: Issues and recommendations.

van den Heuvel MP, de Lange SC, Zalesky A, Seguin C, Yeo BTT, Schmidt R.

Neuroimage. 2017 May 15;152:437-449. doi: 10.1016/j.neuroimage.2017.02.005. Epub 2017 Feb 3.


Structural Basis of Large-Scale Functional Connectivity in the Mouse.

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

J Neurosci. 2017 Aug 23;37(34):8092-8101. doi: 10.1523/JNEUROSCI.0438-17.2017. Epub 2017 Jul 17.


Connectivity trajectory across lifespan differentiates the precuneus from the default network.

Yang Z, Chang C, Xu T, Jiang L, Handwerker DA, Castellanos FX, Milham MP, Bandettini PA, Zuo XN.

Neuroimage. 2014 Apr 1;89:45-56. doi: 10.1016/j.neuroimage.2013.10.039. Epub 2013 Nov 25.


A hybrid CPU-GPU accelerated framework for fast mapping of high-resolution human brain connectome.

Wang Y, Du H, Xia M, Ren L, Xu M, Xie T, Gong G, Xu N, Yang H, He Y.

PLoS One. 2013 May 10;8(5):e62789. doi: 10.1371/journal.pone.0062789. Print 2013. Erratum in: PLoS One. 2013;8(9). doi:10.1371/annotation/b93e8f81-3f0b-41d4-a725-0c54fd99d239.


Toward discovery science of human brain function.

Biswal BB, Mennes M, Zuo XN, Gohel S, Kelly C, Smith SM, Beckmann CF, Adelstein JS, Buckner RL, Colcombe S, Dogonowski AM, Ernst M, Fair D, Hampson M, Hoptman MJ, Hyde JS, Kiviniemi VJ, Kötter R, Li SJ, Lin CP, Lowe MJ, Mackay C, Madden DJ, Madsen KH, Margulies DS, Mayberg HS, McMahon K, Monk CS, Mostofsky SH, Nagel BJ, Pekar JJ, Peltier SJ, Petersen SE, Riedl V, Rombouts SA, Rypma B, Schlaggar BL, Schmidt S, Seidler RD, Siegle GJ, Sorg C, Teng GJ, Veijola J, Villringer A, Walter M, Wang L, Weng XC, Whitfield-Gabrieli S, Williamson P, Windischberger C, Zang YF, Zhang HY, Castellanos FX, Milham MP.

Proc Natl Acad Sci U S A. 2010 Mar 9;107(10):4734-9. doi: 10.1073/pnas.0911855107. Epub 2010 Feb 22.


Exploring the Associations Between Intrinsic Brain Connectivity and Creative Ability Using Functional Connectivity Strength and Connectome Analysis.

Gao Z, Zhang D, Liang A, Liang B, Wang Z, Cai Y, Li J, Gao M, Liu X, Chang S, Jiao B, Huang R, Liu M.

Brain Connect. 2017 Nov;7(9):590-601. doi: 10.1089/brain.2017.0510.


A cross-modal, cross-species comparison of connectivity measures in the primate brain.

Reid AT, Lewis J, Bezgin G, Khundrakpam B, Eickhoff SB, McIntosh AR, Bellec P, Evans AC.

Neuroimage. 2016 Jan 15;125:311-331. doi: 10.1016/j.neuroimage.2015.10.057. Epub 2015 Oct 26.


Probabilistic thresholding of functional connectomes: Application to schizophrenia.

Váša F, Bullmore ET, Patel AX.

Neuroimage. 2018 May 15;172:326-340. doi: 10.1016/j.neuroimage.2017.12.043. Epub 2017 Dec 20.


Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets.

Yoo K, Rosenberg MD, Hsu WT, Zhang S, Li CR, Scheinost D, Constable RT, Chun MM.

Neuroimage. 2018 Feb 15;167:11-22. doi: 10.1016/j.neuroimage.2017.11.010. Epub 2017 Nov 6.

Supplemental Content

Support Center