Three-Dimensional Identification of the Medial Longitudinal Fasciculus in the Human Brain: A Diffusion Tensor Imaging Study.
diffusion tensor imaging
medial longitudinal fasciculus
probabilistic diffusion tensor imaging tractography
visual vertical
Journal
Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588
Informations de publication
Date de publication:
04 May 2020
04 May 2020
Historique:
received:
21
02
2020
revised:
13
04
2020
accepted:
30
04
2020
entrez:
8
5
2020
pubmed:
8
5
2020
medline:
8
5
2020
Statut:
epublish
Résumé
The medial longitudinal fasciculus (MLF) interacts with eye movement control circuits involved in the adjustment of horizontal, vertical, and torsional eye movements. In this study, we attempted to identify and investigate the anatomical characteristics of the MLF in human brain, using probabilistic diffusion tensor imaging (DTI) tractography. We recruited 31 normal healthy adults and used a 1.5-T scanner for DTI. To reconstruct MLFs, a seed region of interest (ROI) was placed on the interstitial nucleus of Cajal at the midbrain level. A target ROI was located on the MLF of the medulla in the reticular formation of the medulla. Mean values of fractional anisotropy, mean diffusivity, and tract volumes of MLFs were measured. The component of the MLF originated from the midbrain MLF, descended through the posterior side of the medial lemniscus (ML) and terminated on the MLF of medulla on the posterior side of the ML in the medulla midline. DTI parameters of right and left MLFs were not significantly different. The tract of the MLF in healthy brain was identified by probabilistic DTI tractography. We believe this study will provide basic data and aid future comparative research on lesion or age-induced MLF changes.
Sections du résumé
BACKGROUND
BACKGROUND
The medial longitudinal fasciculus (MLF) interacts with eye movement control circuits involved in the adjustment of horizontal, vertical, and torsional eye movements. In this study, we attempted to identify and investigate the anatomical characteristics of the MLF in human brain, using probabilistic diffusion tensor imaging (DTI) tractography.
METHODS
METHODS
We recruited 31 normal healthy adults and used a 1.5-T scanner for DTI. To reconstruct MLFs, a seed region of interest (ROI) was placed on the interstitial nucleus of Cajal at the midbrain level. A target ROI was located on the MLF of the medulla in the reticular formation of the medulla. Mean values of fractional anisotropy, mean diffusivity, and tract volumes of MLFs were measured.
RESULTS
RESULTS
The component of the MLF originated from the midbrain MLF, descended through the posterior side of the medial lemniscus (ML) and terminated on the MLF of medulla on the posterior side of the ML in the medulla midline. DTI parameters of right and left MLFs were not significantly different.
CONCLUSION
CONCLUSIONS
The tract of the MLF in healthy brain was identified by probabilistic DTI tractography. We believe this study will provide basic data and aid future comparative research on lesion or age-induced MLF changes.
Identifiants
pubmed: 32375364
pii: jcm9051340
doi: 10.3390/jcm9051340
pmc: PMC7290796
pii:
doi:
Types de publication
Journal Article
Langues
eng
Références
Brain Dev. 1994 Jan-Feb;16(1):52-6
pubmed: 8059929
Neuroimage Clin. 2020;25:102160
pubmed: 31954337
Ir J Med Sci. 2016 May;185(2):393-402
pubmed: 26787313
Mult Scler. 2015 Jun;21(7):905-15
pubmed: 25392333
World Neurosurg. 2017 Apr;100:712.e5-712.e13
pubmed: 28143728
Neurology. 2000 May 23;54(10):1985-93
pubmed: 10822441
Neurology. 2014 Jun 3;82(22):1968-75
pubmed: 24793187
Ann N Y Acad Sci. 2011 Sep;1233:307-12
pubmed: 21951009
Korean J Neurotrauma. 2016 Oct;12(2):140-143
pubmed: 27857923
Semin Ultrasound CT MR. 2014 Oct;35(5):517-26
pubmed: 25217303
J Neurol Neurosurg Psychiatry. 1990 Jan;53(1):67-71
pubmed: 2303833
Ann N Y Acad Sci. 2009 May;1164:51-9
pubmed: 19645880
Neurology. 2017 Dec 12;89(24):2476-2480
pubmed: 29142084
Front Hum Neurosci. 2018 Jun 05;12:229
pubmed: 29922138
Front Neurol. 2018 Jan 22;8:660
pubmed: 29403420
Neurology. 2008 Apr 22;70(17):e57-67
pubmed: 18427066
Arch Neurol. 2008 Sep;65(9):1179-84
pubmed: 18779420
Mult Scler. 2004 Jun;10(3):322-5
pubmed: 15222699
J Stroke Cerebrovasc Dis. 2016 Nov;25(11):2575-2579
pubmed: 27567293
Neuroradiol J. 2018 Feb;31(1):95-99
pubmed: 28541157
Radiographics. 2019 Jul-Aug;39(4):1110-1125
pubmed: 31283463
Neuroimage. 2004;23 Suppl 1:S208-19
pubmed: 15501092
Brain. 1988 Dec;111 ( Pt 6):1299-317
pubmed: 3208059
Radiographics. 2013 Jan-Feb;33(1):47-59
pubmed: 23322826
Prog Brain Res. 2008;171:509-18
pubmed: 18718347
PLoS One. 2016 Jan 22;11(1):e0147863
pubmed: 26800522
Int J Surg Case Rep. 2019;63:19-22
pubmed: 31539826
Eur Radiol. 2011 Oct;21(10):2202-10
pubmed: 21611759
Medicine (Baltimore). 2017 Dec;96(51):e9349
pubmed: 29390518
Clin Neurophysiol. 2014 May;125(5):1042-7
pubmed: 24238926
J Magn Reson Imaging. 2017 Jan 27;:
pubmed: 28130853
J Neurosci. 2012 Oct 24;32(43):14854-8
pubmed: 23100408
Front Neural Circuits. 2014 Apr 28;8:40
pubmed: 24808828
J Comput Assist Tomogr. 2020 May/Jun;44(3):393-398
pubmed: 32217895