Evidence map›Paper›PMID 42780199›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Developing an SNR-efficient tensor-valued diffusion encoding protocol for studying brain microstructural changes in neurodegeneration.

Erpeng Dai, Xuetong Zhou, S Shailja, Martin K Schneider, Molly A Millar, Michael Zeineh, Carl-Fredrik Westin, Jennifer A McNab

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Erpeng DaiDepartment of Radiology, Stanford University, Stanford, CA, USA.
Xuetong ZhouDepartment of Radiology, Stanford University, Stanford, CA, USA.
S ShailjaDepartment of Radiology, Stanford University, Stanford, CA, USA.
Martin K SchneiderDepartment of Radiology, Stanford University, Stanford, CA, USA.
Molly A MillarDepartment of Radiology, Stanford University, Stanford, CA, USA.
Michael ZeinehDepartment of Radiology, Stanford University, Stanford, CA, USA.ORCID 0000-0002-6940-9096
Carl-Fredrik WestinDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Jennifer A McNabDepartment of Radiology, Stanford University, Stanford, CA, USA.

Funding

Integration of Diffusion MRI Fiber Tracking and CLARITY 3D Histology for Improved Neurosurgical TargetingR01NS095985 · NINDS · STANFORD UNIVERSITY · PI Jennifer A McNab · 2016 to 2026
$3.8M
Quantitative Glioblastoma Margin and Infiltration Mapping with Advanced Diffusion-Relaxation MRIR01NS125781 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI ALEXANDRA J GOLBY, Carl-Fredrik Westin · 2022 to 2026
$3.6M
Developing advanced diffusion MRI for early detection of Alzheimer's diseaseK99AG080076 · NIA · STANFORD UNIVERSITY · PI DAI, ERPENG · 2023 to 2024
$220k
NIA NIH HHS K99 AG080076NINDS NIH HHS R01 NS095985NINDS NIH HHS R01 NS125781
6 · The paper itself

Abstract

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 (>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 (μFA), anisotropic mean kurtosis (MK

Indexed as

brain microstructurefornixmedial temporal lobeneurodegenerationSNR-efficienttensor-valued diffusion encoding

Identifiers

PMID42780199
PMCPMC13596584

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.