Seven-tesla susceptibility-weighted analysis of hippocampal venous structures: Application to magnetic-resonance-normal focal epilepsy.
Adolescent
Adult
Aged
Blood Vessels
/ diagnostic imaging
Cerebrovascular Circulation
Disease Susceptibility
/ diagnostic imaging
Epilepsies, Partial
/ diagnostic imaging
Epilepsy, Temporal Lobe
/ diagnostic imaging
Female
Hippocampus
/ blood supply
Humans
Magnetic Resonance Imaging
/ methods
Male
Middle Aged
Neocortex
/ diagnostic imaging
Young Adult
7-T MRI
SWI
hippocampus
nonlesional focal epilepsy
temporal lobe epilepsy
Journal
Epilepsia
ISSN: 1528-1167
Titre abrégé: Epilepsia
Pays: United States
ID NLM: 2983306R
Informations de publication
Date de publication:
02 2020
02 2020
Historique:
received:
01
08
2019
revised:
01
01
2020
accepted:
01
01
2020
pubmed:
6
2
2020
medline:
11
7
2020
entrez:
6
2
2020
Statut:
ppublish
Résumé
Vascular structures may play a significant role in epileptic pathology. Although previous attempts to characterize vasculature relative to epileptogenic zones and hippocampal sclerosis have been inconsistent, an in vivo method of analysis would assist in resolving these inconsistencies and facilitate a comparison against healthy controls in a human model. Magnetic resonance imaging is a noninvasive technique that provides excellent soft tissue contrast, and the relatively recent development of susceptibility-weighted imaging has dramatically improved the visibility of small veins. We built and tested a Hessian-based segmentation technique, which takes advantage of the increased signal and contrast available at 7 T to detect venous structures in vivo. We investigate the ability of this technique to quantify vessels in the brain and apply it to an asymmetry analysis of vessel density in the hippocampus in patients with mesial temporal lobe epilepsy (MTLE) and neocortical epilepsy. Vessel density was highly symmetric in the hippocampus in controls (mean asymmetry = 0.080 ± 0.076, median = 0.05027), whereas average vessel density asymmetry was greater in neocortical (mean asymmetry = 0.23 ± 0.17, median = 0.14) and MTLE (mean asymmetry = 0.37 ± 0.46, median = 0.26) patients, with the decrease in vessel density ipsilateral to the suspected seizure onset zone. Post hoc testing with one-way analysis of variance and Tukey post hoc test indicated significant differences in the group means (P < .02) between MTLE and the control group only. Asymmetry in vessel density in the hippocampus is visible in patients with MTLE, even when qualitative and quantitative measures of hippocampal asymmetry show little volumetric difference between epilepsy patients and healthy controls.
Identifiants
pubmed: 32020606
doi: 10.1111/epi.16433
pmc: PMC7205181
mid: NIHMS1563298
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
287-296Subventions
Organisme : NINDS NIH HHS
ID : R00 NS070821
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH109544
Pays : United States
Organisme : U.S. Department of Defense
ID : DOD W81XWH-18-ERP-IDA
Pays : International
Informations de copyright
Wiley Periodicals, Inc. © 2020 International League Against Epilepsy.
Références
J Neurosci. 2011 Jul 20;31(29):10677-88
pubmed: 21775611
Brain Behav. 2018 Jul;8(7):e00996
pubmed: 29873197
NMR Biomed. 2017 Apr;30(4):
pubmed: 27192086
Epilepsia. 2012 Nov;53 Suppl 6:64-8
pubmed: 23134498
Neurobiol Dis. 2008 Sep;31(3):327-33
pubmed: 18632279
Cereb Cortex. 2004 Jun;14(6):595-609
pubmed: 15054075
Neuroimage. 2005 Jan 1;24(1):101-10
pubmed: 15588601
Lancet. 2006 Apr 1;367(9516):1087-1100
pubmed: 16581409
Hum Brain Mapp. 2014 May;35(5):1906-20
pubmed: 23843266
J Neuropathol Exp Neurol. 2009 Aug;68(8):939-50
pubmed: 19606060
Neuroimage. 2010 Jan 15;49(2):1271-81
pubmed: 19819338
Neurobiol Dis. 2008 Jan;29(1):142-60
pubmed: 17931873
Epilepsy Behav. 2009 Jan;14 Suppl 1:16-25
pubmed: 18835369
Mayo Clin Proc. 2002 Nov;77(11):1251-64
pubmed: 12440562
Epilepsia. 2001 Feb;42(2):181-9
pubmed: 11240587
J Magn Reson Imaging. 2017 May;45(5):1359-1370
pubmed: 27564217
Neurosci Lett. 2002 Sep 13;330(1):114-8
pubmed: 12213646
Curr Opin Neurol. 2018 Apr;31(2):223-231
pubmed: 29389747
Elife. 2016 Nov 22;5:
pubmed: 27874832
PLoS One. 2019 Mar 19;14(3):e0213642
pubmed: 30889199
Nature. 1992 Aug 20;358(6388):668-71
pubmed: 1495561
Brain. 2007 Jul;130(Pt 7):1942-56
pubmed: 17533168
Lancet Neurol. 2013 Mar;12(3):253-63
pubmed: 23375964
Lancet. 2012 Dec 15;380(9859):2197-223
pubmed: 23245608
Surg Neurol. 1992 May;37(5):339-49
pubmed: 1631758
Neurobiol Dis. 2005 Aug;19(3):436-50
pubmed: 16023586
Acta Neurol Scand. 2018 Jun;137(6):598-608
pubmed: 29572865
Magn Reson Med. 2004 Sep;52(3):612-8
pubmed: 15334582
Epilepsy Behav. 2014 Sep;38:48-52
pubmed: 24406303
Brain Res. 2006 May 1;1086(1):201-13
pubmed: 16631625
J Comput Assist Tomogr. 2000 Nov-Dec;24(6):949-57
pubmed: 11105717
Seizure. 2001 Jun;10(4):306-14; quiz 315-6
pubmed: 11466029
Med Image Anal. 2009 Dec;13(6):819-45
pubmed: 19818675
Neuroimage. 2018 Jan 15;165:294-305
pubmed: 29079523
Sci Rep. 2017 Feb 27;7:43276
pubmed: 28240297