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Items: 22

1.

Connectomes from streamlines tractography: Assigning streamlines to brain parcellations is not trivial but highly consequential.

Yeh CH, Smith RE, Dhollander T, Calamante F, Connelly A.

Neuroimage. 2019 Oct 1;199:160-171. doi: 10.1016/j.neuroimage.2019.05.005. Epub 2019 May 11.

PMID:
31082471
2.

Review: Using diffusion-weighted magnetic resonance imaging techniques to explore the microstructure and connectivity of subcortical white matter tracts in the human auditory system.

Zanin J, Dhollander T, Farquharson S, Rance G, Connelly A, Nayagam BA.

Hear Res. 2019 Jun;377:1-11. doi: 10.1016/j.heares.2019.02.014. Epub 2019 Mar 2. Review.

PMID:
30877899
3.

Reduced White Matter Fiber Density in Autism Spectrum Disorder.

Dimond D, Schuetze M, Smith RE, Dhollander T, Cho I, Vinette S, Ten Eycke K, Lebel C, McCrimmon A, Dewey D, Connelly A, Bray S.

Cereb Cortex. 2019 Apr 1;29(4):1778-1788. doi: 10.1093/cercor/bhy348.

4.

Reply: Cortical tau pathology: a major player in fibre-specific white matter reductions in Alzheimer's disease?

Mito R, Raffelt D, Dhollander T, Vaughan DN, Tournier JD, Salvado O, Brodtmann A, Rowe CC, Villemagne VL, Connelly A.

Brain. 2018 Jun 1;141(6):e45. doi: 10.1093/brain/awy086. No abstract available.

PMID:
29668851
5.

Fibre-specific white matter changes in multiple sclerosis patients with optic neuritis.

Gajamange S, Raffelt D, Dhollander T, Lui E, van der Walt A, Kilpatrick T, Fielding J, Connelly A, Kolbe S.

Neuroimage Clin. 2017 Sep 29;17:60-68. doi: 10.1016/j.nicl.2017.09.027. eCollection 2018.

6.

Fibre-specific white matter reductions in Alzheimer's disease and mild cognitive impairment.

Mito R, Raffelt D, Dhollander T, Vaughan DN, Tournier JD, Salvado O, Brodtmann A, Rowe CC, Villemagne VL, Connelly A.

Brain. 2018 Mar 1;141(3):888-902. doi: 10.1093/brain/awx355.

PMID:
29309541
7.

White matter alterations at pubertal onset.

Genc S, Seal ML, Dhollander T, Malpas CB, Hazell P, Silk TJ.

Neuroimage. 2017 Aug 1;156:286-292. doi: 10.1016/j.neuroimage.2017.05.017. Epub 2017 May 19.

PMID:
28533118
8.

Global tractography of multi-shell diffusion-weighted imaging data using a multi-tissue model.

Christiaens D, Reisert M, Dhollander T, Sunaert S, Suetens P, Maes F.

Neuroimage. 2015 Dec;123:89-101. doi: 10.1016/j.neuroimage.2015.08.008. Epub 2015 Aug 10.

PMID:
26272729
9.

Age-related microstructural differences quantified using myelin water imaging and advanced diffusion MRI.

Billiet T, Vandenbulcke M, M├Ądler B, Peeters R, Dhollander T, Zhang H, Deprez S, Van den Bergh BR, Sunaert S, Emsell L.

Neurobiol Aging. 2015 Jun;36(6):2107-21. doi: 10.1016/j.neurobiolaging.2015.02.029. Epub 2015 Mar 7.

PMID:
25840837
10.

Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data.

Jeurissen B, Tournier JD, Dhollander T, Connelly A, Sijbers J.

Neuroimage. 2014 Dec;103:411-426. doi: 10.1016/j.neuroimage.2014.07.061. Epub 2014 Aug 7.

PMID:
25109526
11.

Track orientation density imaging (TODI) and track orientation distribution (TOD) based tractography.

Dhollander T, Emsell L, Van Hecke W, Maes F, Sunaert S, Suetens P.

Neuroimage. 2014 Jul 1;94:312-336. doi: 10.1016/j.neuroimage.2013.12.047. Epub 2013 Dec 31.

12.

Bimanual motor coordination in older adults is associated with increased functional brain connectivity--a graph-theoretical analysis.

Heitger MH, Goble DJ, Dhollander T, Dupont P, Caeyenberghs K, Leemans A, Sunaert S, Swinnen SP.

PLoS One. 2013 Apr 29;8(4):e62133. doi: 10.1371/journal.pone.0062133. Print 2013.

13.

The associative-semantic network for words and pictures: effective connectivity and graph analysis.

Vandenberghe R, Wang Y, Nelissen N, Vandenbulcke M, Dhollander T, Sunaert S, Dupont P.

Brain Lang. 2013 Nov;127(2):264-72. doi: 10.1016/j.bandl.2012.09.005. Epub 2012 Oct 22.

PMID:
23084460
14.

Motor learning-induced changes in functional brain connectivity as revealed by means of graph-theoretical network analysis.

Heitger MH, Ronsse R, Dhollander T, Dupont P, Caeyenberghs K, Swinnen SP.

Neuroimage. 2012 Jul 2;61(3):633-50. doi: 10.1016/j.neuroimage.2012.03.067. Epub 2012 Mar 30.

PMID:
22503778
15.

Graph analysis of functional brain networks for cognitive control of action in traumatic brain injury.

Caeyenberghs K, Leemans A, Heitger MH, Leunissen I, Dhollander T, Sunaert S, Dupont P, Swinnen SP.

Brain. 2012 Apr;135(Pt 4):1293-307. doi: 10.1093/brain/aws048. Epub 2012 Mar 16.

PMID:
22427332
16.

Feasibility and advantages of diffusion weighted imaging atlas construction in Q-space.

Dhollander T, Veraart J, Van Hecke W, Maes F, Sunaert S, Sijbers J, Suetens P.

Med Image Comput Comput Assist Interv. 2011;14(Pt 2):166-73.

PMID:
21995026
17.

The condition-dependent transcriptional network in Escherichia coli.

Lemmens K, De Bie T, Dhollander T, Monsieurs P, De Moor B, Collado-Vides J, Engelen K, Marchal K.

Ann N Y Acad Sci. 2009 Mar;1158:29-35. doi: 10.1111/j.1749-6632.2008.03746.x.

PMID:
19348629
18.

DISTILLER: a data integration framework to reveal condition dependency of complex regulons in Escherichia coli.

Lemmens K, De Bie T, Dhollander T, De Keersmaecker SC, Thijs IM, Schoofs G, De Weerdt A, De Moor B, Vanderleyden J, Collado-Vides J, Engelen K, Marchal K.

Genome Biol. 2009;10(3):R27. doi: 10.1186/gb-2009-10-3-r27. Epub 2009 Mar 6.

19.

ModuleDigger: an itemset mining framework for the detection of cis-regulatory modules.

Sun H, De Bie T, Storms V, Fu Q, Dhollander T, Lemmens K, Verstuyf A, De Moor B, Marchal K.

BMC Bioinformatics. 2009 Jan 30;10 Suppl 1:S30. doi: 10.1186/1471-2105-10-S1-S30.

20.

Exploring the operational characteristics of inference algorithms for transcriptional networks by means of synthetic data.

Van Leemput K, Van den Bulcke T, Dhollander T, De Moor B, Marchal K, van Remortel P.

Artif Life. 2008 Winter;14(1):49-63. doi: 10.1162/artl.2008.14.1.49.

PMID:
18171130
21.

Query-driven module discovery in microarray data.

Dhollander T, Sheng Q, Lemmens K, De Moor B, Marchal K, Moreau Y.

Bioinformatics. 2007 Oct 1;23(19):2573-80. Epub 2007 Aug 8.

PMID:
17686800
22.

Inferring transcriptional modules from ChIP-chip, motif and microarray data.

Lemmens K, Dhollander T, De Bie T, Monsieurs P, Engelen K, Smets B, Winderickx J, De Moor B, Marchal K.

Genome Biol. 2006;7(5):R37. Epub 2006 May 5.

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