E006 Ultrashort echo time magnetic resonance imaging of myelin and iron in Huntington’s disease (HD)

<h3>Background</h3> Past studies have demonstrated extensive white and gray matter degeneration in Huntington’s Disease (HD), including demyelination and iron accumulation.<sup>1–4</sup> Demyelination disrupts axonal transport, integrity, and structural plasticity,<sup>5–7</sup> and plays a major role in HD.<sup>8–10</sup> Iron accumulation contributes to neurodegeneration.<sup>11–13</sup> However, myelin has an ultrashort T2, and is ’invisible’ with conventional MRI, which provides no quantitative information on iron. <h3>Aims</h3> We report a 3D Short TR Adiabatic Inversion Recovery UTE (STAIR-UTE) sequence for Myelin Proton Fraction (MPF) mapping,<sup>14</sup> a UTE Quantitative Susceptibility Mapping (UTE-QSM) sequence for iron mapping,<sup>15</sup> and a divided Subtracted Inversion Recovery (dSIR) sequence<sup>16</sup> for high contrast imaging in HD. <h3>Methods</h3> The STAIR-UTE sequence included: FOV=220×220×240 mm³, matrix=92×92×80, resoltion=2.4×2.4×4.0 mm³, TE=0.032/1.2ms, TR/TI=154/67ms, bandwidth=125 kHz, 7.5 min. The UTE-QSM sequence included: FOV=220×220×160 mm³, matrix=220×220×80, resolution=1.0×1.0×2.0 mm³, TR=28ms, six-echo (TE=0.032,4.4,8.8,13.2,17.6,22ms), 7 min. The dSIR sequence included two inversion recovery FSE acquisitions with TIs of 400/600ms. Five HD patients and five controls were scheduled (four participants already scanned) for this feasibility study. <h3>Results/Outcome</h3> Figure 1 shows MPF maps that display myelin loss in white matter of the HD patient compared with the control. Figure 2 shows UTE-QSM maps. These show significant iron accumulation in putamen, globus pallidus, caudate, and external capsule of the HD patient compared with the control. Figure 3 shows dSIR images which depict abnormal structural changes in white matter of the HD patient and smaller globus pallidus, putamen and caudate nucleus compared with the control. <h3>Conclusion</h3> STAIR-UTE, UTE-QSM, and dSIR sequences can depict myelin loss, iron accumulation, and structural changes in HD patients. <h3>References</h3> Bartzokis, <i>et al. Neurochem Res</i> 2007;<b>32</b>:1655–64. Bohanna, <i>et al. Brain Res Rev</i> 2008;<b>58</b>:209–25. Kassubek, <i>et al. CerebCortex</i> 2005;<b>15</b>:846–53. Kloppel, <i>et al. Neuroscience</i> 2009;<b>164</b>:205–19. Waxman SG. <i>ArchNeurol</i> 1977;<b>34</b>(10):585–9. Filley, <i>et al. Neurophysiol</i> 2016;<b>116</b>(5):2093–104. Miller, <i>et al. PNAS</i> 2012;<b>109</b>:16480–5. Dean,<i> et al. Neuroimage</i> 2016;<b>132</b>:225–37. Bourbon-Teles, <i>et al. J Neuroscience</i> 2019;<b>403</b>:79–92. Casella, <i>et al. J Huntington’s Dis</i> 2020;<b>9</b>:303–20. Chen, <i>et al. JNR</i> 2019;<b>97</b>:467–79. Dominguez, <i>et al. JNNP</i> 2016;<b>87</b>:545–9. van Bergen, <i>et al. AJNR</i> 2016;<b>37</b>:789–96. Ma, <i>et al. Radiology</i> 2020;<b>297</b>:392–404. Jang, <i>et al. Front Neurosci</i> 2022;<b>16</b>:1033801. Ma, <i>et al. QIMS</i> 2023;<b>13</b>:7304–7337.

Authors

Institutions

Publication Details

Published
2024-09-01
DOI
https://doi.org/10.1136/jnnp-2024-ehdn.102
Primary Topic
Genetic Neurodegenerative Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

E006 Ultrashort echo time magnetic resonance imaging of myelin and iron in Huntington’s disease (HD)

Yajun Ma, Jody Corey‐Bloom, Graeme M. Bydder, Jiang Du et al.
Genetic Neurodegenerative Diseases
article

E006 Ultrashort echo time magnetic resonance imaging of myelin and iron in Huntington’s disease (HD)

Yajun Ma, Jody Corey‐Bloom, Graeme M. Bydder, Jiang Du, Soo Hyun Shin, James Lo
article en

Abstract

<h3>Background</h3> Past studies have demonstrated extensive white and gray matter degeneration in Huntington’s Disease (HD), including demyelination and iron accumulation.<sup>1–4</sup> Demyelination disrupts axonal transport, integrity, and structural plasticity,<sup>5–7</sup> and plays a major role in HD.<sup>8–10</sup> Iron accumulation contributes to neurodegeneration.<sup>11–13</sup> However, myelin has an ultrashort T2, and is ’invisible’ with conventional MRI, which provides no quantitative information on iron. <h3>Aims</h3> We report a 3D Short TR Adiabatic Inversion Recovery UTE (STAIR-UTE) sequence for Myelin Proton Fraction (MPF) mapping,<sup>14</sup> a UTE Quantitative Susceptibility Mapping (UTE-QSM) sequence for iron mapping,<sup>15</sup> and a divided Subtracted Inversion Recovery (dSIR) sequence<sup>16</sup> for high contrast imaging in HD. <h3>Methods</h3> The STAIR-UTE sequence included: FOV=220×220×240 mm³, matrix=92×92×80, resoltion=2.4×2.4×4.0 mm³, TE=0.032/1.2ms, TR/TI=154/67ms, bandwidth=125 kHz, 7.5 min. The UTE-QSM sequence included: FOV=220×220×160 mm³, matrix=220×220×80, resolution=1.0×1.0×2.0 mm³, TR=28ms, six-echo (TE=0.032,4.4,8.8,13.2,17.6,22ms), 7 min. The dSIR sequence included two inversion recovery FSE acquisitions with TIs of 400/600ms. Five HD patients and five controls were scheduled (four participants already scanned) for this feasibility study. <h3>Results/Outcome</h3> Figure 1 shows MPF maps that display myelin loss in white matter of the HD patient compared with the control. Figure 2 shows UTE-QSM maps. These show significant iron accumulation in putamen, globus pallidus, caudate, and external capsule of the HD patient compared with the control. Figure 3 shows dSIR images which depict abnormal structural changes in white matter of the HD patient and smaller globus pallidus, putamen and caudate nucleus compared with the control. <h3>Conclusion</h3> STAIR-UTE, UTE-QSM, and dSIR sequences can depict myelin loss, iron accumulation, and structural changes in HD patients. <h3>References</h3> Bartzokis, <i>et al. Neurochem Res</i> 2007;<b>32</b>:1655–64. Bohanna, <i>et al. Brain Res Rev</i> 2008;<b>58</b>:209–25. Kassubek, <i>et al. CerebCortex</i> 2005;<b>15</b>:846–53. Kloppel, <i>et al. Neuroscience</i> 2009;<b>164</b>:205–19. Waxman SG. <i>ArchNeurol</i> 1977;<b>34</b>(10):585–9. Filley, <i>et al. Neurophysiol</i> 2016;<b>116</b>(5):2093–104. Miller, <i>et al. PNAS</i> 2012;<b>109</b>:16480–5. Dean,<i> et al. Neuroimage</i> 2016;<b>132</b>:225–37. Bourbon-Teles, <i>et al. J Neuroscience</i> 2019;<b>403</b>:79–92. Casella, <i>et al. J Huntington’s Dis</i> 2020;<b>9</b>:303–20. Chen, <i>et al. JNR</i> 2019;<b>97</b>:467–79. Dominguez, <i>et al. JNNP</i> 2016;<b>87</b>:545–9. van Bergen, <i>et al. AJNR</i> 2016;<b>37</b>:789–96. Ma, <i>et al. Radiology</i> 2020;<b>297</b>:392–404. Jang, <i>et al. Front Neurosci</i> 2022;<b>16</b>:1033801. Ma, <i>et al. QIMS</i> 2023;<b>13</b>:7304–7337.

University of California San Diego (US), VA San Diego Healthcare System (US), La Jolla Bioengineering Institute (US)
Openalex Percentile: Top 84%
Genetic Neurodegenerative Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.