Abstract
Myelination of axons in the central nervous system is critical for human cognition and behavior. The predominant protein in myelin is proteolipid protein—making PLP1, the gene that encodes for proteolipid protein, one of the primary candidate genes for white matter structure in the human brain. Here, we investigated the relation of genetic variation within PLP1 and white matter microstructure as assessed with myelin water fraction imaging, a neuroimaging technique that has the advantage over conventional diffusion tensor imaging in that it allows for a more direct assessment of myelin content. We observed significant asymmetries in myelin water fraction that were strongest and rightward in the parietal lobe. Importantly, these parietal myelin water fraction asymmetries were associated with genetic variation in PLP1. These findings support the assumption that genetic variation in PLP1 affects white matter myelination in the healthy human brain.
Similar content being viewed by others
References
Ocklenburg S, Güntürkün O (2018) The lateralized brain: the neuroscience and evolution of hemispheric asymmetries. Academic Press, London
Filley C (2012) The behavioral neurology of white matter, 2nd edn. Oxford University Press USA, Oxford
Ocklenburg S, Gerding WM, Arning L, Genç E, Epplen JT, Güntürkün O, Beste C (2017) Myelin genes and the corpus callosum: proteolipid protein 1 (PLP1) and contactin 1 (CNTN1) gene variation modulates interhemispheric integration. Mol Neurobiol 54(10):7908–7916. https://doi.org/10.1007/s12035-016-0285-5
Friedrich P, Ocklenburg S, Heins N, Schlüter C, Fraenz C, Beste C, Güntürkün O, Genç E (2017) Callosal microstructure affects the timing of electrophysiological left-right differences. Neuroimage 163:310–318. https://doi.org/10.1016/j.neuroimage.2017.09.048
Krämer EM, Schardt A, Nave KA (2001) Membrane traffic in myelinating oligodendrocytes. Microsc Res Tech 52(6):656–671. https://doi.org/10.1002/jemt.1050
Boiko T, Winckler B (2006) Myelin under construction—teamwork required. J Cell Biol 172(6):799–801. https://doi.org/10.1083/jcb.200602101
Laule C, Vavasour IM, Kolind SH, Li DKB, Traboulsee TL, Moore GRW, MacKay AL (2007) Magnetic resonance imaging of myelin. Neurotherapeutics 4(3):460–484. https://doi.org/10.1016/j.nurt.2007.05.004
Griffiths I, Klugmann M, Anderson T, Thomson C, Vouyiouklis D, Nave KA (1998) Current concepts of PLP and its role in the nervous system. Microsc Res Tech 41(5):344–358. https://doi.org/10.1002/(SICI)1097-0029(19980601)41:5<344:AID-JEMT2>3.0.CO;2-Q
Yool DA, Klugmann M, McLaughlin M, Vouyiouklis DA, Dimou L, Barrie JA, McCulloch MC, Nave KA et al (2001) Myelin proteolipid proteins promote the interaction of oligodendrocytes and axons. J Neurosci Res 63(2):151–164. https://doi.org/10.1002/1097-4547(20010115)63:2<151:AID-JNR1007>3.0.CO;2-Y
Chow E, Mottahedeh J, Prins M, Ridder W, Nusinowitz S, Bronstein JM (2005) Disrupted compaction of CNS myelin in an OSP/Claudin-11 and PLP/DM20 double knockout mouse. Mol Cell Neurosci 29(3):405–413. https://doi.org/10.1016/j.mcn.2005.03.007
Patzig J, Kusch K, Fledrich R, Eichel MA, Lüders KA, Möbius W, Sereda MW, Nave KA et al (2016) Proteolipid protein modulates preservation of peripheral axons and premature death when myelin protein zero is lacking. Glia 64(1):155–174. https://doi.org/10.1002/glia.22922
Harlow DE, Saul KE, Culp CM, Vesely EM, Macklin WB (2014) Expression of proteolipid protein gene in spinal cord stem cells and early oligodendrocyte progenitor cells is dispensable for normal cell migration and myelination. J Neurosci 34(4):1333–1343. https://doi.org/10.1523/JNEUROSCI.2477-13.2014
Ocklenburg S, Gerding WM, Raane M, Arning L, Genç E, Epplen JT, Güntürkün O, Beste C (2018) PLP1 gene variation modulates leftward and rightward functional hemispheric asymmetries. Mol Neurobiol 55:7691–7700. https://doi.org/10.1007/s12035-018-0941-z
Fagerberg L, Hallström BM, Oksvold P, Kampf C, Djureinovic D, Odeberg J, Habuka M, Tahmasebpoor S et al (2014) Analysis of the human tissue-specific expression by genome-wide integration of transcriptomics and antibody-based proteomics. Mol Cell Proteomics 13(2):397–406. https://doi.org/10.1074/mcp.M113.035600
Wight PA (2017) Effects of intron 1 sequences on human PLP1 expression: implications for PLP1-related disorders. ASN Neuro 9(4):1759091417720583. https://doi.org/10.1177/1759091417720583
Ruest T, Holmes WM, Barrie JA, Griffiths IR, Anderson TJ, Dewar D, Edgar JM (2011) High-resolution diffusion tensor imaging of fixed brain in a mouse model of Pelizaeus-Merzbacher disease: comparison with quantitative measures of white matter pathology. NMR Biomed 24(10):1369–1379. https://doi.org/10.1002/nbm.1700
Smith SM, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, Mackay CE, Watkins KE, Ciccarelli O et al (2006) Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage 31(4):1487–1505. https://doi.org/10.1016/j.neuroimage.2006.02.024
Dreha-Kulaczewski SF, Brockmann K, Henneke M, Dechent P, Wilken B, Gärtner J, Helms G (2012) Assessment of myelination in hypomyelinating disorders by quantitative MRI. J Magn Reson Imaging 36(6):1329–1338. https://doi.org/10.1002/jmri.23774
Sumida K, Inoue K, Takanashi J-I, Sasaki M, Watanabe K, Suzuki M, Kurahashi H, Omata T et al (2016) The magnetic resonance imaging spectrum of Pelizaeus-Merzbacher disease: a multicenter study of 19 patients. Brain and Development 38(6):571–580. https://doi.org/10.1016/j.braindev.2015.12.007
Takanashi J, Sugita K, Tanabe Y, Nagasawa K, Inoue K, Osaka H, Kohno Y (1999) MR-revealed myelination in the cerebral corticospinal tract as a marker for Pelizaeus-Merzbacher’s disease with proteolipid protein gene duplication. AJNR Am J Neuroradiol 20(10):1822–1828
Banich MT, Belger A (1990) Interhemispheric interaction: how do the hemispheres divide and conquer a task? Cortex 26(1):77–94
Ocklenburg S, Friedrich P, Güntürkün O, Genç E (2016) Intrahemispheric white matter asymmetries: the missing link between brain structure and functional lateralization? Rev Neurosci 27(5):465–480. https://doi.org/10.1515/revneuro-2015-0052
Tournier J-D, Mori S (eds) (2014) Introduction to diffusion tensor imaging: and higher order models, 2nd edn. Calif, Academic Press, Oxford, England, San Diego
Behrens TEJ, Berg HJ, Jbabdi S, Rushworth MFS, Woolrich MW (2007) Probabilistic diffusion tractography with multiple fibre orientations: what can we gain? Neuroimage 34(1):144–155. https://doi.org/10.1016/j.neuroimage.2006.09.018
Le Bihan D (2003) Looking into the functional architecture of the brain with diffusion MRI. Nat Rev Neurosci 4(6):469–480. https://doi.org/10.1038/nrn1119
Pierpaoli C, Basser PJ (1996) Toward a quantitative assessment of diffusion anisotropy. Magn Reson Med 36(6):893–906
Genç E, Ocklenburg S, Singer W, Güntürkün O (2015) Abnormal interhemispheric motor interactions in patients with callosal agenesis. Behav Brain Res 293:1–9. https://doi.org/10.1016/j.bbr.2015.07.016
Zatorre RJ, Fields RD, Johansen-Berg H (2012) Plasticity in gray and white: neuroimaging changes in brain structure during learning. Nat Neurosci 15(4):528–536. https://doi.org/10.1038/nn.3045
Mädler B, Drabycz SA, Kolind SH, Whittall KP, MacKay AL (2008) Is diffusion anisotropy an accurate monitor of myelination? Correlation of multicomponent T2 relaxation and diffusion tensor anisotropy in human brain. Magn Reson Imaging 26(7):874–888. https://doi.org/10.1016/j.mri.2008.01.047
Beaulieu C (2002) The basis of anisotropic water diffusion in the nervous system—a technical review. NMR Biomed 15(7–8):435–455. https://doi.org/10.1002/nbm.782
Mori S, Zhang J (2006) Principles of diffusion tensor imaging and its applications to basic neuroscience research. Neuron 51(5):527–539. https://doi.org/10.1016/j.neuron.2006.08.012
Prasloski T, Rauscher A, MacKay AL et al (2012) Rapid whole cerebrum myelin water imaging using a 3D GRASE sequence. Neuroimage 63(1):533–539. https://doi.org/10.1016/j.neuroimage.2012.06.064
Uddin MN, Figley TD, Marrie RA, Figley CR, for the CCOMS Study Group (2018) Can T1 w/T2 w ratio be used as a myelin-specific measure in subcortical structures? Comparisons between FSE-based T1 w/T2 w ratios, GRASE-based T1 w/T2 w ratios and multi-echo GRASE-based myelin water fractions. NMR Biomed 31(3). https://doi.org/10.1002/nbm.3868
Whittall KP, MacKay AL, Graeb DA et al (1997) In vivo measurement of T2 distributions and water contents in normal human brain. Magn Reson Med 37(1):34–43
Whittall KP, MacKay AL (1989) Quantitative interpretation of NMR relaxation data. J Magn Reson (1969) 84(1):134–152. https://doi.org/10.1016/0022-2364(89)90011-5
Laule C, Kozlowski P, Leung E, Li DKB, MacKay AL, Moore GRW (2008) Myelin water imaging of multiple sclerosis at 7 T: correlations with histopathology. Neuroimage 40(4):1575–1580. https://doi.org/10.1016/j.neuroimage.2007.12.008
Meyers SM, Vavasour IM, Mädler B, Harris T, Fu E, Li DKB, Traboulsee AL, MacKay AL et al (2013) Multicenter measurements of myelin water fraction and geometric mean T2: intra- and intersite reproducibility. J Magn Reson Imaging 38(6):1445–1453. https://doi.org/10.1002/jmri.24106
MacKay AL, Laule C (2016) Magnetic resonance of myelin water: an in vivo marker for myelin. Brain Plast 2(1):71–91. https://doi.org/10.3233/BPL-160033
Alonso-Ortiz E, Levesque IR, Pike GB (2015) MRI-based myelin water imaging: a technical review. Magn Reson Med 73(1):70–81. https://doi.org/10.1002/mrm.25198
Kroeker RM, Mark Henkelman R (1986) Analysis of biological NMR relaxation data with continuous distributions of relaxation times. J Magn Reson (1969) 69(2):218–235. https://doi.org/10.1016/0022-2364(86)90074-0
Laule C, Leung E, Lis DKB et al (2006) Myelin water imaging in multiple sclerosis: quantitative correlations with histopathology. Mult Scler 12(6):747–753. https://doi.org/10.1177/1352458506070928
Billiet T, Vandenbulcke M, Mädler B, Peeters R, Dhollander T, Zhang H, Deprez S, van den Bergh BRH et al (2015) Age-related microstructural differences quantified using myelin water imaging and advanced diffusion MRI. Neurobiol Aging 36(6):2107–2121. https://doi.org/10.1016/j.neurobiolaging.2015.02.029
Gur RC, Packer IK, Hungerbuhler JP, Reivich M, Obrist W, Amarnek W, Sackeim H (1980) Differences in the distribution of gray and white matter in human cerebral hemispheres. Science 207(4436):1226–1228
Thiebaut de Schotten M, Dell'Acqua F, Forkel SJ et al (2011) A lateralized brain network for visuospatial attention. Nat Neurosci 14(10):1245–1246. https://doi.org/10.1038/nn.2905
Oldfield RC (1971) The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 9(1):97–113
Cartegni L, Wang J, Zhu Z, Zhang MQ, Krainer AR (2003) ESEfinder: a web resource to identify exonic splicing enhancers. Nucleic Acids Res 31(13):3568–3571
Fairbrother WG, Yeh R-F, Sharp PA, Burge CB (2002) Predictive identification of exonic splicing enhancers in human genes. Science 297(5583):1007–1013. https://doi.org/10.1126/science.1073774
Dale AM, Fischl B, Sereno MI (1999) Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage 9(2):179–194. https://doi.org/10.1006/nimg.1998.0395
Fischl B, Sereno MI, Dale AM (1999) Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system. Neuroimage 9(2):195–207. https://doi.org/10.1006/nimg.1998.0396
Salat DH, Greve DN, Pacheco JL et al (2009) Regional white matter volume differences in nondemented aging and Alzheimer’s disease. Neuroimage 44(4):1247–1258. https://doi.org/10.1016/j.neuroimage.2008.10.030
Klein D, Rotarska-Jagiela A, Genc E, Sritharan S, Mohr H, Roux F, Han CE, Kaiser M et al (2014) Adolescent brain maturation and cortical folding: evidence for reductions in gyrification. PLoS One 9(1):e84914. https://doi.org/10.1371/journal.pone.0084914
Desikan RS, Ségonne F, Fischl B, Quinn BT, Dickerson BC, Blacker D, Buckner RL, Dale AM et al (2006) An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 31(3):968–980. https://doi.org/10.1016/j.neuroimage.2006.01.021
Hennig J, Weigel M, Scheffler K (2003) Multiecho sequences with variable refocusing flip angles: optimization of signal behavior using smooth transitions between pseudo steady states (TRAPS). Magn Reson Med 49(3):527–535. https://doi.org/10.1002/mrm.10391
Chiarello C, Welcome SE, Halderman LK, Towler S, Julagay J, Otto R, Leonard CM (2009) A large-scale investigation of lateralization in cortical anatomy and word reading: are there sex differences? Neuropsychology 23(2):210–222. https://doi.org/10.1037/a0014265
Ocklenburg S, Schlaffke L, Hugdahl K, Westerhausen R (2014) From structure to function in the lateralized brain: how structural properties of the arcuate and uncinate fasciculus are associated with dichotic listening performance. Neurosci Lett 580:32–36. https://doi.org/10.1016/j.neulet.2014.07.044
Thomas C, Avram A, Pierpaoli C, Baker C (2015) Diffusion MRI properties of the human uncinate fasciculus correlate with the ability to learn visual associations. Cortex 72:65–78. https://doi.org/10.1016/j.cortex.2015.01.023
Takao H, Hayashi N, Ohtomo K (2013) White matter microstructure asymmetry: effects of volume asymmetry on fractional anisotropy asymmetry. Neuroscience 231:1–12. https://doi.org/10.1016/j.neuroscience.2012.11.038
Thiebaut de Schotten M, Ffytche DH, Bizzi A et al (2011) Atlasing location, asymmetry and inter-subject variability of white matter tracts in the human brain with MR diffusion tractography. Neuroimage 54(1):49–59. https://doi.org/10.1016/j.neuroimage.2010.07.055
Henkelman RM, Stanisz GJ, Graham SJ (2001) Magnetization transfer in MRI: a review. NMR Biomed 14(2):57–64
Zhang H, Schneider T, Wheeler-Kingshott CA, Alexander DC (2012) NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain. Neuroimage 61(4):1000–1016. https://doi.org/10.1016/j.neuroimage.2012.03.072
Genç E, Fraenz C, Schlüter C, Friedrich P, Hossiep R, Voelkle MC, Ling JM, Güntürkün O et al (2018) Diffusion markers of dendritic density and arborization in gray matter predict differences in intelligence. Nat Commun 9(1):1905. https://doi.org/10.1038/s41467-018-04268-8
Fjær S, Bø L, Myhr K-M, Torkildsen Ø, Wergeland S (2015) Magnetization transfer ratio does not correlate to myelin content in the brain in the MOG-EAE mouse model. Neurochem Int 83-84:28–40. https://doi.org/10.1016/j.neuint.2015.02.006
Grussu F, Schneider T, Tur C, Yates RL, Tachrount M, Ianuş A, Yiannakas MC, Newcombe J et al (2017) Neurite dispersion: a new marker of multiple sclerosis spinal cord pathology? Ann Clin Transl Neurol 4(9):663–679. https://doi.org/10.1002/acn3.445
O'Muircheartaigh J, Dean DC, Dirks H, Waskiewicz N, Lehman K, Jerskey BA, Deoni SCL (2013) Interactions between white matter asymmetry and language during neurodevelopment. J Neurosci 33(41):16170–16177. https://doi.org/10.1523/JNEUROSCI.1463-13.2013
Bartzokis G, Beckson M, Lu PH, Nuechterlein KH, Edwards N, Mintz J (2001) Age-related changes in frontal and temporal lobe volumes in men: a magnetic resonance imaging study. Arch Gen Psychiatry 58(5):461–465
Sowell ER, Peterson BS, Thompson PM, Welcome SE, Henkenius AL, Toga AW (2003) Mapping cortical change across the human life span. Nat Neurosci 6(3):309–315. https://doi.org/10.1038/nn1008
Chow JC, Yen Z, Ziesche SM, Brown CJ (2005) Silencing of the mammalian X chromosome. Annu Rev Genomics Hum Genet 6:69–92. https://doi.org/10.1146/annurev.genom.6.080604.162350
Ocklenburg S, Ströckens F, Bless JJ, Hugdahl K, Westerhausen R, Manns M (2016) Investigating heritability of laterality and cognitive control in speech perception. Brain Cogn 109:34–39. https://doi.org/10.1016/j.bandc.2016.09.003
Schmitz J, Kumsta R, Moser D, Güntürkün O, Ocklenburg S (2018) KIAA0319 promoter DNA methylation predicts dichotic listening performance in forced-attention conditions. Behav Brain Res 337:1–7. https://doi.org/10.1016/j.bbr.2017.09.035
Ocklenburg S, Westerhausen R, Hirnstein M, Hugdahl K (2013) Auditory hallucinations and reduced language lateralization in schizophrenia: a meta-analysis of dichotic listening studies. J Int Neuropsychol Soc 19(4):410–418. https://doi.org/10.1017/S1355617712001476
Ocklenburg S, Arning L, Hahn C, Gerding WM, Epplen JT, Güntürkün O, Beste C (2011) Variation in the NMDA receptor 2B subunit gene GRIN2B is associated with differential language lateralization. Behav Brain Res 225(1):284–289. https://doi.org/10.1016/j.bbr.2011.07.042
Gould RM, Oakley T, Goldstone JV, Dugas JC, Brady ST, Gow A (2008) Myelin sheaths are formed with proteins that originated in vertebrate lineages. Neuron Glia Biol 4(2):137–152. https://doi.org/10.1017/S1740925X09990238
Cartegni L, Chew SL, Krainer AR (2002) Listening to silence and understanding nonsense: exonic mutations that affect splicing. Nat Rev Genet 3(4):285–298. https://doi.org/10.1038/nrg775
Acknowledgements
The authors thank Martijn Froeling and PHILIPS Germany for their scientific support with the MRI measurements as well as Tobias Otto for his technical support.
Funding
This work was supported by the Deutsche Forschungsgemeinschaft (DFG) grant numbers Gu227/16-1 and GE2777/2-1 and the MERCUR foundation grant number An-2015-0044.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
The study was approved by the local ethics committee of the Faculty of Psychology at Ruhr University Bochum. All participants gave their written informed consent and were treated in accordance with the Declaration of Helsinki.
Rights and permissions
About this article
Cite this article
Ocklenburg, S., Anderson, C., Gerding, W.M. et al. Myelin Water Fraction Imaging Reveals Hemispheric Asymmetries in Human White Matter That Are Associated with Genetic Variation in PLP1. Mol Neurobiol 56, 3999–4012 (2019). https://doi.org/10.1007/s12035-018-1351-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12035-018-1351-y