title: Convergence and divergence across construction methods for human brain white matter networks: an assessment based on individual differences.
abstract: Using diffusion MRI, a number of studies have investigated the properties of whole-brain white matter (WM) networks with differing network construction methods (node/edge definition). However, how the construction methods affect individual differences of WM networks and, particularly, if distinct methods can provide convergent or divergent patterns of individual differences remain largely unknown. Here, we applied 10 frequently used methods to construct whole-brain WM networks in a healthy young adult population (57 subjects), which involves two node definitions (low-resolution and high-resolution) and five edge definitions (binary, FA weighted, fiber-density weighted, length-corrected fiber-density weighted, and connectivity-probability weighted). For these WM networks, individual differences were systematically analyzed in three network aspects: (1) a spatial pattern of WM connections, (2) a spatial pattern of nodal efficiency, and (3) network global and local efficiencies. Intriguingly, we found that some of the network construction methods converged in terms of individual difference patterns, but diverged with other methods. Furthermore, the convergence/divergence between methods differed among network properties that were adopted to assess individual differences. Particularly, high-resolution WM networks with differing edge definitions showed convergent individual differences in the spatial pattern of both WM connections and nodal efficiency. For the network global and local efficiencies, low-resolution and high-resolution WM networks for most edge definitions consistently exhibited a highly convergent pattern in individual differences. Finally, the test-retest analysis revealed a decent temporal reproducibility for the patterns of between-method convergence/divergence. Together, the results of the present study demonstrated a measure-dependent effect of network construction methods on the individual difference of WM network properties.
authors: State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
authors: Suyu
authors: S
authors: Zhong
authors: Yong
authors: Y
authors: He
authors: Gaolang
authors: G
authors: Gong
mesh_terms: D001921:Brain / Q000033:anatomy & histology*; D016000:Cluster Analysis; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008297:Male; D009434:Neural Pathways / Q000033:anatomy & histology; D015203:Reproducibility of Results; D066127:White Matter / Q000033:anatomy & histology*; D055815:Young Adult
keywords: connectome; diffusion MRI; graph theory; individual difference; inter-subject variability; test-retest
references: Nat Methods. 2014 Oct;11(10):1058-63
references: 25194848
references: Neuron. 2003 Dec 4;40(5):885-95
references: 14659088
references: Neuroimage. 2013 Oct 15;80:515-26
references: 23623973
references: Proc Natl Acad Sci U S A. 2010 Nov 2;107(44):19067-72
references: 20956328
references: Neuroimage. 2012 Jul 16;61(4):1153-64
references: 22450298
references: PLoS Biol. 2008 Jul 1;6(7):e159
references: 18597554
references: Neuroimage. 2010 Sep;52(3):1059-69
references: 19819337
references: Clin Trials. 2004;1(6):553-66
references: 16279296
references: J Neurosci. 2009 Dec 16;29(50):15684-93
references: 20016083
references: Biol Psychiatry. 2011 Jan 1;69(1):80-9
references: 21035793
references: Neuroimage. 2004 Nov;23(3):1176-85
references: 15528117
references: J Neurosci. 2013 Jun 26;33(26):10676-87
references: 23804091
references: Neuroimage. 2007 Jul 1;36(3):645-60
references: 17466539
references: J Neurosci Methods. 2012 Jan 15;203(1):264-72
references: 21978486
references: Neuroimage. 2011 Jan 15;54(2):1262-79
references: 20850551
references: Radiology. 2012 Nov;265(2):518-27
references: 22984189
references: Neuroimage. 2013 Oct 15;80:426-44
references: 23643999
references: Magn Reson Med. 2005 May;53(5):1143-9
references: 15844149
references: PLoS One. 2010 Oct 28;5(10):e13701
references: 21060892
references: Neuroimage. 2013 Oct 15;80:397-404
references: 23558097
references: Nat Rev Neurosci. 2003 Jun;4(6):469-80
references: 12778119
references: Front Neurol. 2014 Nov 17;5:232
references: 25452742
references: J Neurosci. 2011 Jan 26;31(4):1204-12
references: 21273405
references: Neuroimage. 2015 Jan 1;104:253-65
references: 25312774
references: Neuroimage. 2002 Jan;15(1):273-89
references: 11771995
references: PLoS One. 2013 Jul 04;8(7):e68910
references: 23861951
references: Neuroimage. 2011 Jan 1;54(1):161-9
references: 20728543
references: Nat Rev Neurosci. 2009 Mar;10(3):186-98
references: 19190637
references: Proc Natl Acad Sci U S A. 2012 Jul 10;109(28):11372-7
references: 22711833
references: Hum Brain Mapp. 2012 Aug;33(8):1894-913
references: 21928316
references: PLoS Comput Biol. 2005 Sep;1(4):e42
references: 16201007
references: Neuroimage. 2013 Oct 15;80:416-25
references: 23631992
references: NMR Biomed. 2010 Aug;23(7):803-20
references: 20886566
references: Neuroimage. 2014 Feb 1;86:231-43
references: 24096127
references: Cereb Cortex. 2011 Feb;21(2):449-58
references: 20562318
references: Magn Reson Med. 2003 Nov;50(5):1077-88
references: 14587019
references: J Neurosci. 2010 Nov 24;30(47):15915-26
references: 21106830
references: Brain Connect. 2013;3(2):160-76
references: 23350832
references: Neuroimage. 2007 Jan 1;34(1):144-55
references: 17070705
references: Exp Neurol. 2013 Oct;248:196-204
references: 23648629
references: Neuroimage. 2012 Apr 2;60(2):1352-66
references: 22281673
references: J Neurosci. 2011 Nov 2;31(44):15775-86
references: 22049421
references: Cereb Cortex. 2015 May;25(5):1389-404
references: 24335033
references: Magn Reson Med. 2009 Jun;61(6):1336-49
references: 19319973
references: Neuroimage. 2012 Sep;62(3):1732-49
references: 22699045
references: Neuroimage. 2010 Apr 15;50(3):970-83
references: 20035887
references: J Neurosci. 2012 Mar 21;32(12):4307-18
references: 22442092
references: PLoS One. 2011;6(9):e24678
references: 21966364
references: PLoS Comput Biol. 2009 May;5(5):e1000395
references: 19492086
references: Cereb Cortex. 2011 Nov;21(11):2565-77
references: 21467209
references: PLoS Comput Biol. 2007 Feb 2;3(2):e17
references: 17274684
references: Front Hum Neurosci. 2013 Feb 21;7:42
references: 23439846
references: Neuroimage. 2007 May 1;35(4):1459-72
references: 17379540
references: Cereb Cortex. 2009 Mar;19(3):524-36
references: 18567609
references: J Neurosci Methods. 2012 Jan 30;203(2):386-97
references: 22001222
references: JAMA Psychiatry. 2013 Aug;70(8):783-92
references: 23739835
references: Ann Neurol. 1999 Feb;45(2):265-9
references: 9989633
references: Neuroimage. 2010 Feb 1;49(3):2163-77
references: 19896537
references: Phys Rev Lett. 2001 Nov 5;87(19):198701
references: 11690461
references: Neuroimage. 2013 Oct 15;80:462-74
references: 23603286
references: J Neurosci. 2010 Dec 15;30(50):16876-85
references: 21159959