Abstract
Background
Autonomic nervous system dysfunction has been previously observed in multiple sclerosis (MS) patients.
Objective
To assess associations between magnetic resonance imaging-detected neuroinflammatory and neurodegenerative pathology and postural venous flow changes indicative of autonomic nervous system function.
Methods
We used a standardized 3T magnetic resonance imaging protocol to scan 138 patients with MS and 49 healthy controls. Lesion volume and brain volumes were assessed. The cerebral venous flow (CVF) was examined by color-Doppler sonography in supine and upright positions and the difference was calculated as ΔCVF. Based on ΔCVF, subjects were split into absolute or quartile groups. Student’s t test, χ2-test, and analysis of covariance adjusted for age and sex were used accordingly. Benjamini-Hochberg procedure corrected the p-values for multiple comparisons.
Results
No differences were found between healthy controls and patients with MS in both supine and upright Doppler-derived CVF, nor in prevalence of abnormal postural venous control. Patients with absolute negative ΔCVF had higher disability scores (p = 0.013), lower gray matter (p = 0.039) and cortical (p = 0.044) volumes. The negative ΔCVF MS group also showed numerically worse bladder/bowel function when compared to the positive ΔCVF (2.3 vs. 1.5, p = 0.052). Similarly, the lowest quartile ΔCVF MS group had higher T1-lesion volumes (p = 0.033), T2-lesion volumes (p = 0.032), and lower deep gray matter (p = 0.043) and thalamus (p = 0.033) volumes when compared to those with higher ΔCVF quartiles.
Conclusion
No difference in postural venous outflow between patients with MS and healthy controls was found. However, when the abnormal ΔCVF is present within the MS population, it may be associated with more inflammatory and neurodegenerative pathology. Further studies should explore whether the orthostatic venous changes are an aging or an MS-related phenomenon and if the etiology is due to impaired autonomic nervous system functioning.
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References
Reich DS, Lucchinetti CF, Calabresi PA (2018) Multiple sclerosis. N Engl J Med 378(2):169–180. https://doi.org/10.1056/NEJMra1401483
Zivadinov R, Bergsland N, Dolezal O, Hussein S, Seidl Z, Dwyer MG, Vaneckova M, Krasensky J, Potts JA, Kalincik T, Havrdova E, Horakova D (2013) Evolution of cortical and thalamus atrophy and disability progression in early relapsing–remitting MS during 5 years. Am J Neuroradiol 34(10):1931–1939. https://doi.org/10.3174/ajnr.A3503
Zivadinov R, Havrdova E, Bergsland N, Tyblova M, Hagemeier J, Seidl Z, Dwyer MG, Vaneckova M, Krasensky J, Carl E, Kalincik T, Horakova D (2013) Thalamic atrophy is associated with development of clinically definite multiple sclerosis. Radiology 268(3):831–841. https://doi.org/10.1148/radiol.13122424
de Seze J, Stojkovic T, Gauvrit JY, Devos D, Ayachi M, Cassim F, Saint Michel T, Pruvo JP, Guieu JD, Vermersch P (2001) Autonomic dysfunction in multiple sclerosis: cervical spinal cord atrophy correlates. J Neurol 248(4):297–303
Kodounis A, Stamboulis E, Constantinidis TS, Liolios A (2005) Measurement of autonomic dysregulation in multiple sclerosis. Acta Neurol Scand 112(6):403–408. https://doi.org/10.1111/j.1600-0404.2005.00446.x
Habek M, Crnosija L, Lovric M, Junakovic A, Krbot Skoric M, Adamec I (2016) Sympathetic cardiovascular and sudomotor functions are frequently affected in early multiple sclerosis. Clin Auton Res 26(6):385–393. https://doi.org/10.1007/s10286-016-0370-x
Illigens BM, Gibbons CH (2009) Sweat testing to evaluate autonomic function. Clin Auton Res 19(2):79–87. https://doi.org/10.1007/s10286-008-0506-8
Hale LA, Nukada H, Du Plessis LJ, Peebles KC (2009) Clinical screening of autonomic dysfunction in multiple sclerosis. Physiother Res Int 14(1):42–55. https://doi.org/10.1002/pri.416
Monti L, Menci E, Ulivelli M, Cerase A, Bartalini S, Piu P, Marotti N, Leonini S, Galluzzi P, Romano DG, Casasco AE, Venturi C (2011) Quantitative ColourDopplerSonography evaluation of cerebral venous outflow: a comparative study between patients with multiple sclerosis and controls. PLoS ONE 6(9):e25012. https://doi.org/10.1371/journal.pone.0025012
Marchione P, Morreale M, Giacomini P, Izzo C, Pontecorvo S, Altieri M, Bernardi S, Frontoni M, Francia A (2014) Ultrasonographic evaluation of cerebral arterial and venous haemodynamics in multiple sclerosis: a case–control study. PLoS ONE 9(10):e111486. https://doi.org/10.1371/journal.pone.0111486
Mancini M, Lanzillo R, Liuzzi R, Di Donato O, Ragucci M, Monti S, Salvatore E, Morra VB, Salvatore M (2014) Internal jugular vein blood flow in multiple sclerosis patients and matched controls. PLoS ONE 9(3):e92730. https://doi.org/10.1371/journal.pone.0092730
Monti L, Menci E, Piu P, Leonini S, Arrigucci U, Bellini M, Zandonella A, Galluzzi P, Casasco A (2014) A sonographic quantitative cutoff value of cerebral venous outflow in neurologic diseases: a blinded study of 115 subjects. Am J Neuroradiol 35(7):1381–1386. https://doi.org/10.3174/ajnr.A3864
Valdueza JM, von Munster T, Hoffman O, Schreiber S, Einhaupl KM (2000) Postural dependency of the cerebral venous outflow. Lancet 355(9199):200–201
Cirovic S, Walsh C, Fraser WD, Gulino A (2003) The effect of posture and positive pressure breathing on the hemodynamics of the internal jugular vein. Aviat Space Environ Med 74(2):125–131
Gisolf J, van Lieshout JJ, van Heusden K, Pott F, Stok WJ, Karemaker JM (2004) Human cerebral venous outflow pathway depends on posture and central venous pressure. J Physiol 560(Pt 1):317–327. https://doi.org/10.1113/jphysiol.2004.070409
Cechetto DF (2014) Cortical control of the autonomic nervous system. Exp Physiol 99(2):326–331. https://doi.org/10.1113/expphysiol.2013.075192
Goswami R, Frances MF, Shoemaker JK (2011) Representation of somatosensory inputs within the cortical autonomic network. Neuroimage 54(2):1211–1220. https://doi.org/10.1016/j.neuroimage.2010.09.050
Macey PM, Wu P, Kumar R, Ogren JA, Richardson HL, Woo MA, Harper RM (2012) Differential responses of the insular cortex gyri to autonomic challenges. Auton Neurosci 168(1–2):72–81. https://doi.org/10.1016/j.autneu.2012.01.009
Guo CC, Sturm VE, Zhou J, Gennatas ED, Trujillo AJ, Hua AY, Crawford R, Stables L, Kramer JH, Rankin K, Levenson RW, Rosen HJ, Miller BL, Seeley WW (2016) Dominant hemisphere lateralization of cortical parasympathetic control as revealed by frontotemporal dementia. Proc Natl Acad Sci U S A 113(17):E2430–E2439. https://doi.org/10.1073/pnas.1509184113
Zivadinov R, Ramasamy DP, Vaneckova M, Gandhi S, Chandra A, Hagemeier J, Bergsland N, Polak P, Benedict RH, Hojnacki D, Weinstock-Guttman B (2017) Leptomeningeal contrast enhancement is associated with progression of cortical atrophy in MS: a retrospective, pilot, observational longitudinal study. Mult Scler 23(10):1336–1345. https://doi.org/10.1177/1352458516678083
Jakimovski D, Marr K, Mancini M, Caprio MG, Gandhi G, Bergsland N, Paunkoski I, Hagemeier J, Chandra A, Weinstock-Guttman B, Zivadinov R (2017) Global and regional brain atrophy is associated with low or retrograde facial vein flow in multiple sclerosis. Veins Lymphat. https://doi.org/10.4081/vl.2017.6976
Thompson AJ, Banwell BL, Barkhof F, Carroll WM, Coetzee T, Comi G, Correale J, Fazekas F, Filippi M, Freedman MS, Fujihara K, Galetta SL, Hartung HP, Kappos L, Lublin FD, Marrie RA, Miller AE, Miller DH, Montalban X, Mowry EM, Sorensen PS, Tintore M, Traboulsee AL, Trojano M, Uitdehaag BMJ, Vukusic S, Waubant E, Weinshenker BG, Reingold SC, Cohen JA (2018) Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol 17(2):162–173. https://doi.org/10.1016/S1474-4422(17)30470-2
Zivadinov R, Raj B, Ramanathan M, Teter B, Durfee J, Dwyer MG, Bergsland N, Kolb C, Hojnacki D, Benedict RH, Weinstock-Guttman B (2016) Autoimmune comorbidities are associated with brain injury in multiple sclerosis. Am J Neuroradiol 37(6):1010–1016. https://doi.org/10.3174/ajnr.A4681
Smith SM, Zhang Y, Jenkinson M, Chen J, Matthews PM, Federico A, De Stefano N (2002) Accurate, robust, and automated longitudinal and cross-sectional brain change analysis. Neuroimage 17(1):479–489
Patenaude B, Smith SM, Kennedy DN, Jenkinson M (2011) A Bayesian model of shape and appearance for subcortical brain segmentation. Neuroimage 56(3):907–922. https://doi.org/10.1016/j.neuroimage.2011.02.046
Gelineau-Morel R, Tomassini V, Jenkinson M, Johansen-Berg H, Matthews PM, Palace J (2012) The effect of hypointense white matter lesions on automated gray matter segmentation in multiple sclerosis. Hum Brain Mapp 33(12):2802–2814. https://doi.org/10.1002/hbm.21402
Caprio MG, Marr K, Gandhi S, Jakimovski D, Hagemeier J, Weinstock-Guttman B, Zivadinov R, Mancini M (2017) Centralized and local color doppler ultrasound reading agreement for diagnosis of the chronic cerebrospinal venous insufficiency in patients with multiple sclerosis. Curr Neurovasc Res 14(3):266–273. https://doi.org/10.2174/1567202614666170718095203
Schreiber SJ, Lurtzing F, Gotze R, Doepp F, Klingebiel R, Valdueza JM (2003) Extrajugular pathways of human cerebral venous blood drainage assessed by duplex ultrasound. J Appl Physiol 94(5):1802–1805. https://doi.org/10.1152/japplphysiol.00782.2002
Racosta JM, Kimpinski K (2016) Autonomic dysfunction, immune regulation, and multiple sclerosis. Clin Auton Res 26(1):23–31. https://doi.org/10.1007/s10286-015-0325-7
Critchley HD, Harrison NA (2013) Visceral influences on brain and behavior. Neuron 77(4):624–638. https://doi.org/10.1016/j.neuron.2013.02.008
Sposato LA, Cohen G, Wardlaw JM, Sandercock P, Lindley RI, Hachinski V, Panel ISTER, the ISTCG (2016) Effect of right insular involvement on death and functional outcome after acute ischemic stroke in the ist-3 trial (third international stroke trial). Stroke 47(12):2959–2965. https://doi.org/10.1161/STROKEAHA.116.014928
Racosta JM, Kimpinski K (2016) Autonomic function and brain volume. Clin Auton Res 26(6):377–383. https://doi.org/10.1007/s10286-016-0380-8
Azevedo E, Castro P, Santos R, Freitas J, Coelho T, Rosengarten B, Panerai R (2011) Autonomic dysfunction affects cerebral neurovascular coupling. Clin Auton Res 21(6):395–403. https://doi.org/10.1007/s10286-011-0129-3
Marshall O, Chawla S, Lu H, Pape L, Ge Y (2016) Cerebral blood flow modulation insufficiency in brain networks in multiple sclerosis: a hypercapnia MRI study. J Cereb Blood Flow Metab 36(12):2087–2095. https://doi.org/10.1177/0271678X16654922
Doepp F, Paul F, Valdueza JM, Schmierer K, Schreiber SJ (2010) No cerebrocervical venous congestion in patients with multiple sclerosis. Ann Neurol 68(2):173–183. https://doi.org/10.1002/ana.22085
Low PA, Opfer-Gehrking TL, Proper CJ, Zimmerman I (1990) The effect of aging on cardiac autonomic and postganglionic sudomotor function. Muscle Nerve 13(2):152–157. https://doi.org/10.1002/mus.880130212
Tiecks FP, Lam AM, Matta BF, Strebel S, Douville C, Newell DW (1995) Effects of the Valsalva maneuver on cerebral circulation in healthy adults. A transcranial Doppler Study. Stroke 26(8):1386–1392
Schroeder C, Heusser K, Tank J, Diedrich A, Luft FC, Jordan J (2009) The Valsalva maneuver: screening for drug-induced baroreflex dysfunction. Clin Auton Res 19(1):32–38. https://doi.org/10.1007/s10286-008-0508-6
Stolz E, Rusges DA, Hoffmann O, Gerriets T, Nedelmann M, Lochner P, Kaps M (2010) Active regulation of cerebral venous tone: simultaneous arterial and venous transcranial doppler sonography during a Valsalva manoeuvre. Eur J Appl Physiol 109(4):691–697. https://doi.org/10.1007/s00421-010-1411-0
Vignes JR, Dagain A, Guerin J, Liguoro D (2007) A hypothesis of cerebral venous system regulation based on a study of the junction between the cortical bridging veins and the superior sagittal sinus. Lab Investig J Neurosurg 107(6):1205–1210. https://doi.org/10.3171/JNS-07/12/1205
Ciuti G, Righi D, Forzoni L, Fabbri A, Pignone AM (2013) Differences between internal jugular vein and vertebral vein flow examined in real time with the use of multigate ultrasound color doppler. Am J Neuroradiol 34(10):2000–2004. https://doi.org/10.3174/ajnr.A3557
Magnano C, Belov P, Krawiecki J, Hagemeier J, Beggs C, Zivadinov R (2016) Internal jugular vein cross-sectional area enlargement is associated with aging in healthy individuals. PLoS One 11(2):e0149532. https://doi.org/10.1371/journal.pone.0149532
Buch K, Groller R, Nadgir RN, Fujita A, Qureshi MM, Sakai O (2016) Variability in the cross-sectional area and narrowing of the internal jugular vein in patients without multiple sclerosis. Am J Roentgenol 206(5):1082–1086. https://doi.org/10.2214/AJR.15.14689
Absinta M, Ha SK, Nair G, Sati P, Luciano NJ, Palisoc M, Louveau A, Zaghloul KA, Pittaluga S, Kipnis J, Reich DS (2017) Human and nonhuman primate meninges harbor lymphatic vessels that can be visualized noninvasively by MRI. Elife 6:e29738. https://doi.org/10.7554/eLife.29738
Marr K, Jakimovski D, Mancini M, Carl E, Zivadinov R (2018) Jugular venous flow quantification using doppler sonography. Ultrasound Med Biol. https://doi.org/10.1016/j.ultrasmedbio.2018.04.010
Hilz MJ, Intravooth T, Moeller S, Wang R, Lee DH, Koehn J, Linker RA (2015) Central autonomic dysfunction delays recovery of fingolimod induced heart rate slowing. PLoS One 10(7):e0132139. https://doi.org/10.1371/journal.pone.0132139
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Jakimovski, D., Topolski, M., Kimura, K. et al. Abnormal venous postural control: multiple sclerosis-specific change related to gray matter pathology or age-related neurodegenerative phenomena?. Clin Auton Res 29, 329–338 (2019). https://doi.org/10.1007/s10286-018-0555-6
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DOI: https://doi.org/10.1007/s10286-018-0555-6