Evidence map›Paper›PMID 41523211›Full record

ArticleImaging neuroscience (Cambridge, Mass.)

Higher spatial resolution diffusion-weighted imaging improves characterization of white matter disconnection in Alzheimer's disease.

Jenna L Merenstein, Allen W Song, Kim G Johnson, Heather E Whitson, David J Madden

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.). 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

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

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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

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Jenna L MerensteinDepartment of Psychology, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0003-1631-1340
Allen W SongBrain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, United States.
Kim G JohnsonDepartment of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, United States.
Heather E WhitsonCenter for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, United States.
David J MaddenBrain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, United States.

Funding

Research Education Component CoreP30AG072958 · NIA · DUKE UNIVERSITY · PI Heather E. Whitson · 2021 to 2026
$24.1M
NIA NIH HHS P30 AG072958
6 · The paper itself

Abstract

In addition to the accumulation of neuropathologies (i.e., amyloid beta, neurofibrillary tangles), Alzheimer's disease (AD) is associated with the degradation of white matter (WM) structural pathways that connect distributed brain regions. However, previous studies of AD-related decreases in WM structural connectivity have primarily used standard spatial resolution diffusion-weighted imaging (DWI) acquisitions, which cannot adequately resolve WM connections in fine-grained regions with crossing fibers or high curvature. To better assess more subtle WM tissue degradation in AD, this DWI study compared measures of structural connectivity derived from a high-resolution multi-shot multiplexed sensitivity encoding (MUSE) acquisition (1 mm isotropic voxels; 1 µl volume) and a standard resolution acquisition (1.5 mm isotropic voxels; 3.375 µl volume), using a sample of 24 participants with AD and 24 demographically matched healthy controls. Graph theoretical measures of within-network connectivity, between-network connectivity, and system segregation were obtained from a standard network partition. As expected, results indicated larger AD-related decreases in between-network than within-network connectivity, leading to increased network segregation for both DWI acquisitions. However, the high-resolution MUSE DWI acquisition achieved higher sensitivity and specificity to AD-related differences in structural connectivity than the standard resolution DWI protocol, consistent with prior findings from rodents and healthy adults across the lifespan. Together, these findings suggest that this clinically feasible, high-resolution MUSE DWI methodology may detect more subtle AD-related differences in WM connectivity than standard resolution DWI acquisitions.

Indexed as

graph theoretical analysesmagnetic resonance imagingmultiplexed sensitivity encodingneurodegenerationstructural connectivitysystem segregation

Identifiers

PMID41523211
PMCPMC12779751

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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.