Evidence map›Paper›PMID 40974302›Full record

ArticleHuman brain mapping2025

The Impact of Multiband and In-Plane Acceleration on White Matter Microstructure Analysis.

Zhengwu Zhang, Arun Venkataraman, Martin Cole, Tianrui Ye, Deqiang Qiu, Feng V Lin, Benjamin B Risk

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Human brain mapping, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Zhengwu ZhangDepartment of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Arun VenkataramanDepartment of Physics and Astronomy, University of Rochester, Rochester, New York, USA.
Martin ColeDepartment of Biostatistics and Computational Biology, University of Rochester, Rochester, New York, USA.
Tianrui YeDepartment of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Deqiang QiuDepartment of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia, USA.
Feng V LinDepartment of Psychiatry and Behavioral Sciences, CogT Lab, Stanford University, Stanford, California, USA.
Benjamin B RiskDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.ORCID 0000-0003-1090-0777

Funding

Cerebral hemodynamic impairment in symptomatic and asymptomatic Alzheimer's DiseaseR01AG072603 · NIA · EMORY UNIVERSITY · PI Deqiang Qiu · 2022 to 2026
$3.8M
Statistical approaches to improving functional connectivity estimates with an application to autismR01MH129855 · NIMH · EMORY UNIVERSITY · PI Benjamin Brewster Risk · 2022 to 2026
$3.5M
U24 NEW Brain Aging Diversity SupplementU24AG072701 · NIA · UNIVERSITY OF ROCHESTER · PI CONWELL, YEATES, LIN, FENG VANKEE · 2021 to 2024
$2.6M
Explainable and Ethical AI for Studying Alzheimer's DiseaseR01AG089806 · NIA · EMORY UNIVERSITY · PI JAMES J LAH, Deqiang Qiu · 2024 to 2026
$2.1M
Advancing methods for structural connectome acquisition and estimation in older adultsR21AG066970 · NIA · UNIVERSITY OF ROCHESTER · PI HEFFNER, KATHI L, LIN, FENG VANKEE · 2020 to 2020
$438k
CABIN pilot grant at the University of RochesterNIA NIH HHS R01 AG072603NIA NIH HHS R01 AG089806NIA NIH HHS R21 AG066970NIA NIH HHS U24 AG072701NIMH NIH HHS R01 MH129855
6 · The paper itself

Abstract

Accelerated imaging in diffusion MRI has been widely used to reduce scan time. This can be particularly important in reducing the burden in patients, such as those with mild cognitive impairment (MCI). However, the impact on reliability is not fully understood. Moreover, the impact on effect sizes in group comparisons has not been examined. We conducted a test-retest study of the impact of simultaneous multislice (SMS, also called multiband) and in-plane acceleration (IPA, also called phase acceleration) on reliability and effect sizes in diffusion imaging in MCI, healthy older adults, and young adults. We evaluated diffusion tensor imaging measures (fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity) and neurite orientation and dispersion measures (orientation dispersion, isotropic volume fraction, intracellular volume fraction) under no acceleration (S1P1), SMS = 3 with no in-plane acceleration (S3P1), SMS = 3 with IPA = 2 (S3P2), S6P1, and S6P2, with scan times varying from over 20 min in S1P1 to under 4 min in S6P2. In white matter voxels, the ranking of the accelerations with respect to intraclass correlations (ICCs) was S1P1

Indexed as

BrainCognitive DysfunctionDiffusion Tensor ImagingWhite MatterAdultAgedAged, 80 and overFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedReproducibility of ResultsYoung Adultdiffusion tensor imagingdiffusion weighted imagingmild cognitive impairmentneurite orientation and dispersion imagingphase accelerationsimultaneous multislicetest–retest reliability

Identifiers

PMID40974302
PMCPMC12449773

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Registered trials

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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.