Characterizing White Matter Tract Organization in Polymicrogyria and Lissencephaly: A Multifiber Diffusion MRI Modeling and Tractography Study.
Journal
AJNR. American journal of neuroradiology
ISSN: 1936-959X
Titre abrégé: AJNR Am J Neuroradiol
Pays: United States
ID NLM: 8003708
Informations de publication
Date de publication:
08 2020
08 2020
Historique:
received:
06
03
2020
accepted:
11
05
2020
pubmed:
1
8
2020
medline:
29
12
2020
entrez:
1
8
2020
Statut:
ppublish
Résumé
Polymicrogyria and lissencephaly may be associated with abnormal organization of the undelying white matter tracts that have been rarely investigated so far. Our aim was to characterize white matter tract organization in polymicrogyria and lissencephaly using constrained spherical deconvolution, a multifiber diffusion MR imaging modeling technique for white matter tractography reconstruction. We retrospectively reviewed 50 patients (mean age, 8.3 ± 5.4 years; range, 1.4-21.2 years; 27 males) with different polymicrogyria ( More abnormal-appearing white matter tracts were identified in patients with lissencephaly compared with those with polymicrogyria (79.2% versus 37.3%). In lissencephaly, structural abnormalities were identified in all studied white matter tracts. In polymicrogyria, the more frequently affected white matter tracts were the cingulum, superior longitudinal fasciculus, inferior longitudinal fasciculus, and optic radiation-posterior corona radiata. The severity of superior longitudinal fasciculus and cingulum abnormalities was associated with the polymicrogyria distribution and extent. A thickened superior fronto-occipital fasciculus was demonstrated in 3 patients. We demonstrated a range of white matter tract structural abnormalities in patients with polymicrogyria and lissencephaly. The patterns of white matter tract involvement are related to polymicrogyria and lissencephaly subgroups, distribution, and, possibly, their underlying etiologies.
Sections du résumé
BACKGROUND AND PURPOSE
Polymicrogyria and lissencephaly may be associated with abnormal organization of the undelying white matter tracts that have been rarely investigated so far. Our aim was to characterize white matter tract organization in polymicrogyria and lissencephaly using constrained spherical deconvolution, a multifiber diffusion MR imaging modeling technique for white matter tractography reconstruction.
MATERIALS AND METHODS
We retrospectively reviewed 50 patients (mean age, 8.3 ± 5.4 years; range, 1.4-21.2 years; 27 males) with different polymicrogyria (
RESULTS
More abnormal-appearing white matter tracts were identified in patients with lissencephaly compared with those with polymicrogyria (79.2% versus 37.3%). In lissencephaly, structural abnormalities were identified in all studied white matter tracts. In polymicrogyria, the more frequently affected white matter tracts were the cingulum, superior longitudinal fasciculus, inferior longitudinal fasciculus, and optic radiation-posterior corona radiata. The severity of superior longitudinal fasciculus and cingulum abnormalities was associated with the polymicrogyria distribution and extent. A thickened superior fronto-occipital fasciculus was demonstrated in 3 patients.
CONCLUSIONS
We demonstrated a range of white matter tract structural abnormalities in patients with polymicrogyria and lissencephaly. The patterns of white matter tract involvement are related to polymicrogyria and lissencephaly subgroups, distribution, and, possibly, their underlying etiologies.
Identifiants
pubmed: 32732266
pii: ajnr.A6646
doi: 10.3174/ajnr.A6646
pmc: PMC7658898
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1495-1502Subventions
Organisme : NICHD NIH HHS
ID : N01 HD023343
Pays : United States
Informations de copyright
© 2020 by American Journal of Neuroradiology.
Références
Front Neurosci. 2017 Jul 11;11:348
pubmed: 28744187
Pediatr Radiol. 2013 Jan;43(1):28-54
pubmed: 23288476
Neuroscience. 2014 Sep 12;276:48-71
pubmed: 24378955
Behav Neurol. 2015;2015:351391
pubmed: 26180373
J Child Neurol. 2017 Mar;32(3):271-285
pubmed: 27920266
Magn Reson Med. 2002 Oct;48(4):577-82
pubmed: 12353272
Brain. 2012 Dec;135(Pt 12):3529-50
pubmed: 23107648
Neuroimage. 2002 Oct;17(2):825-41
pubmed: 12377157
Neuroimaging Clin N Am. 2014 Nov;24(4):619-37
pubmed: 25441504
Cell. 2011 Jul 8;146(1):18-36
pubmed: 21729779
Neuroimage. 2007 May 1;35(4):1459-72
pubmed: 17379540
Neuroimage. 2016 Jan 1;124(Pt B):1125-1130
pubmed: 26048622
Epilepsia. 2007 Aug;48(8):1460-9
pubmed: 17441991
AJNR Am J Neuroradiol. 2005 Jan;26(1):61-4
pubmed: 15661702
Neuroimage. 2019 Mar;188:743-773
pubmed: 30594683
AJNR Am J Neuroradiol. 2005 Jun-Jul;26(6):1583-6
pubmed: 15956534
Biophys J. 1994 Jan;66(1):259-67
pubmed: 8130344
J Neurosci. 2009 Apr 1;29(13):4263-73
pubmed: 19339620
Brain. 2012 May;135(Pt 5):1348-69
pubmed: 22427329
Eur Radiol. 2019 Feb;29(2):770-782
pubmed: 30066250
Eur Radiol. 2016 Aug;26(8):2587-96
pubmed: 26560723
Epilepsy Res. 2014 Nov;108(9):1533-42
pubmed: 25260933
Front Neurol. 2018 Aug 28;9:716
pubmed: 30210438
AJNR Am J Neuroradiol. 1995 Oct;16(9):1847-53
pubmed: 8693985
Neuroimage. 2014 Feb 1;86:182-93
pubmed: 23954485
J AAPOS. 2016 Feb;20(1):37-43
pubmed: 26917070
Am J Med Genet A. 2017 Jun;173(6):1473-1488
pubmed: 28440899
J Child Neurol. 2011 Apr;26(4):433-9
pubmed: 20929906
Cortex. 2008 Sep;44(8):1105-32
pubmed: 18619589
Brain. 2010 May;133(Pt 5):1415-27
pubmed: 20403963
J Neuropathol Exp Neurol. 2014 Feb;73(2):143-58
pubmed: 24423639
J Neurosurg. 2013 Jun;118(6):1367-77
pubmed: 23540269
Eur J Paediatr Neurol. 2014 May;18(3):434-8
pubmed: 24485946
Neuroimage. 2014 Dec;103:411-426
pubmed: 25109526
Nat Rev Neurosci. 2008 Feb;9(2):110-22
pubmed: 18209730
AJNR Am J Neuroradiol. 2017 Dec;38(12):2385-2390
pubmed: 28838911
AJNR Am J Neuroradiol. 2016 Jan;37(1):169-75
pubmed: 26381551
Eur J Radiol. 2015 Nov;84(11):2280-6
pubmed: 26216794