{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"medRxiv"}],"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T10:06:49Z","timestamp":1790158009722,"version":"4.1.0"},"posted":{"date-parts":[[2026,9,20]]},"group-title":"Radiology and Imaging","reference-count":56,"publisher":"openRxiv","license":[{"start":{"date-parts":[[2026,9,20]],"date-time":"2026-09-20T00:00:00Z","timestamp":1789862400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"NIH","award":["K99AG080076"],"award-info":[{"award-number":["K99AG080076"]}]},{"name":"NIH","award":["R01NS095985"],"award-info":[{"award-number":["R01NS095985"]}]},{"name":"NIH","award":["R01NS125781"],"award-info":[{"award-number":["R01NS125781"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2026,9,20]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                <jats:p>\n                  Tensor-valued diffusion encoding (TDE) is an emerging diffusion MRI technique that uses advanced diffusion-encoding waveforms and modeling to provide enhanced specificity to brain microstructure compared with conventional Stejskal-Tanner pulsed-gradient encoding. However, the diffusion encoding duration to achieve the same b-value is substantially increased in TDE, resulting in relatively low SNR and spatial resolution (&gt;2 mm isotropic). In this study, we developed an SNR-efficient, high-resolution TDE protocol with 1.8-mm isotropic resolution and clinically feasible scan time and evaluated its reproducibility and sensitivity to age-related microstructural differences. Eleven cognitively normal older adults (5F\/6M, 62-71 years) and seven younger adults (3F\/4M, 22-31 years) were scanned at 3T using an in-house TDE sequence incorporating an SNR-efficient multi-band multi-shot EPI readout and reconstruction. Quantitative diffusion metrics, including mean diffusivity (MD), fractional anisotropy (FA), microscopic FA (\u03bcFA), anisotropic mean kurtosis (MK\n                  <jats:sub>A<\/jats:sub>\n                  ), isotropic mean kurtosis (MK\n                  <jats:sub>I<\/jats:sub>\n                  ), and total mean kurtosis (MK\n                  <jats:sub>T<\/jats:sub>\n                  ), were evaluated in the bilateral temporal parts of the cingulum bundles (CBT), bilateral fornix (FX), and global white matter (WM). Older participants underwent two scans to assess reproducibility using intraclass correlation coefficients (ICCs) and Bland-Altman analysis, and diffusion metrics were compared between younger and older groups using Wilcoxon signed-rank tests with false discovery rate (FDR) correction. All metrics except MK\n                  <jats:sub>I<\/jats:sub>\n                  demonstrate moderate-to-excellent reproducibility across all WM regions (ICCs\u22650.64). Exploratory comparisons show age-related differences in FA, \u03bcFA, and MK\n                  <jats:sub>A<\/jats:sub>\n                  with\n                  <jats:italic>p<\/jats:italic>\n                  &lt;0.05 before FDR correction, particularly in the fornix, although none remains significant after correction. These findings demonstrate the feasibility of SNR-efficient TDE at 1.8-mm isotropic resolution with approximately 70-mm brain coverage in approximately 12 minutes and establish its reproducibility for high-resolution brain microstructural imaging.\n                <\/jats:p>\n                <jats:sec>\n                  <jats:title>Key Points<\/jats:title>\n                  <jats:list list-type=\"order\">\n                    <jats:list-item>\n                      <jats:p>An SNR-efficient tensor-valued diffusion encoding (TDE) protocol was developed with 1.8-mm isotropic resolution.<\/jats:p>\n                    <\/jats:list-item>\n                    <jats:list-item>\n                      <jats:p>The high-resolution TDE protocol achieved \u223c70-mm brain coverage within a clinically feasible scan time of \u223c12 minutes.<\/jats:p>\n                    <\/jats:list-item>\n                    <jats:list-item>\n                      <jats:p>The developed TDE protocol was evaluated in two white matter bundles closely associated with neurodegeneration and global white matter.<\/jats:p>\n                    <\/jats:list-item>\n                    <jats:list-item>\n                      <jats:p>\n                        All quantitative diffusion metrics except MK\n                        <jats:sub>I<\/jats:sub>\n                        demonstrate moderate-to-excellent scan-rescan reproducibility in across white matter ROIs (ICC\u22650.64).\n                      <\/jats:p>\n                    <\/jats:list-item>\n                    <jats:list-item>\n                      <jats:p>\n                        Exploratory comparisons show age-related differences in FA, \u03bcFA, and MK\n                        <jats:sub>A<\/jats:sub>\n                        before FDR correction, particularly in the fornix.\n                      <\/jats:p>\n                    <\/jats:list-item>\n                  <\/jats:list>\n                <\/jats:sec>","DOI":"10.64898\/2026.09.16.26363267","type":"posted-content","created":{"date-parts":[[2026,9,20]],"date-time":"2026-09-20T23:10:14Z","timestamp":1789945814000},"source":"Crossref","is-referenced-by-count":0,"title":["Developing an SNR-efficient tensor-valued diffusion encoding protocol for studying brain microstructural changes in neurodegeneration"],"prefix":"10.64898","author":[{"given":"Erpeng","family":"Dai","sequence":"first","affiliation":[{"name":"Department of Radiology, Stanford University, Stanford, CA, USA"},{"name":"Department of Radiology, Brigham and Women\u2019s Hospital, Harvard Medical School, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuetong","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Radiology, Stanford University, Stanford, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S","family":"Shailja","sequence":"additional","affiliation":[{"name":"Department of Radiology, Stanford University, Stanford, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin K","family":"Schneider","sequence":"additional","affiliation":[{"name":"Department of Radiology, Stanford University, Stanford, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Molly A","family":"Millar","sequence":"additional","affiliation":[{"name":"Department of Radiology, Stanford University, Stanford, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6940-9096","authenticated-orcid":false,"given":"Michael","family":"Zeineh","sequence":"additional","affiliation":[{"name":"Department of Radiology, Stanford University, Stanford, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carl-Fredrik","family":"Westin","sequence":"additional","affiliation":[{"name":"Department of Radiology, Brigham and Women\u2019s Hospital, Harvard Medical School, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer A","family":"McNab","sequence":"additional","affiliation":[{"name":"Department of Radiology, Stanford University, Stanford, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"54368","reference":[{"key":"2026092302300986000_2026.09.16.26363267v1.1","doi-asserted-by":"publisher","DOI":"10.1016\/J.MRI.2015.04.006"},{"key":"2026092302300986000_2026.09.16.26363267v1.2","doi-asserted-by":"publisher","DOI":"10.1016\/S0197-4580(01)00318-9"},{"key":"2026092302300986000_2026.09.16.26363267v1.3","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.0203-14.2014"},{"key":"2026092302300986000_2026.09.16.26363267v1.4","doi-asserted-by":"crossref","unstructured":"Pang H , Sun Z , Liang Z , et al. 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