Evidence map›Paper›PMID 40357390›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2025

Bundle-wise functional connectivity density and fractional amplitude of low-frequency fluctuations decrease in white matter in preclinical Alzheimer's disease and are associated with Aβ levels and cognition.

Yukie Chang, Lyuan Xu, Chenyu Gao, Nazirah Mohd Khairi, John C Gore, Bennett A Landman, Yurui Gao

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yukie ChangDept. of Computer Science, Pomona College, 333 N College Way, Claremont, CA, USA 91711.
Lyuan XuDept. of Electrical and Computer Engineering, Vanderbilt Univ., 2301 Vanderbilt Place, Nashville, TN, USA 37235.
Chenyu GaoDept. of Electrical and Computer Engineering, Vanderbilt Univ., 2301 Vanderbilt Place, Nashville, TN, USA 37235.
Nazirah Mohd KhairiDept. of Electrical and Computer Engineering, Vanderbilt Univ., 2301 Vanderbilt Place, Nashville, TN, USA 37235.
John C GoreVanderbilt University Institute of Imaging Science (VUIIS), VUMC, 1161 21st Ave., Nashville, TN, USA 37232.
Bennett A LandmanDept. of Electrical and Computer Engineering, Vanderbilt Univ., 2301 Vanderbilt Place, Nashville, TN, USA 37235.
Yurui GaoVanderbilt University Institute of Imaging Science (VUIIS), VUMC, 1161 21st Ave., Nashville, TN, USA 37232.

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI Duygu Tosun-Turgut · 2016 to 2026
$226.7M
Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jeffrey L Neul · 2020 to 2026
$10.3M
Biophysical basis of functional MRI of white matterR01NS113832 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2020 to 2024
$2.4M
Secondary analysis of functional MRI and resting state connectivity in white matterRF1MH123201 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C, LANDMAN, BENNETT A. · 2021 to 2021
$1.3M
Influence of Sensory and Motor Dysfunctions on White - Gray Matters Functional Connectome in Preclinical ADR21AG083915 · NIA · VANDERBILT UNIVERSITY · PI GAO, YURUI · 2024 to 2024
$438k
NIA NIH HHS R21 AG083915NIA NIH HHS U01 AG024904NIA NIH HHS U19 AG024904NICHD NIH HHS P50 HD103537NIMH NIH HHS RF1 MH123201NINDS NIH HHS R01 NS113832
6 · The paper itself

Abstract

Neurophysiological changes associated with Alzheimer's disease (AD) begin decades before clinical symptoms emerge, during preclinical AD. Functional abnormalities in white matter (WM) at this preclinical stage remain largely unexplored. We obtained resting-state functional magnetic resonance imaging (rs-fMRI) data of 295 participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI) and evaluated bundle-wise functional connectivity density (FCD) and fractional amplitude of low-frequency fluctuations (fALFF) across 46 bundles, which reflects the strength of synchronizations of BOLD dynamics between each WM bundle and whole-brain 200 GM parcels, and spontaneous neural activity of each WM bundle, respectively. To mitigate site/scanner effects on the metrics, ComBat harmonization was applied to the data. We then performed permutation tests (n=5,000) on each harmonized metric for each bundle to determine differences in FCD and fALFF in preclinical AD relative to controls, adjusting for sex, age, and education using multiple linear regression. Linear correlations of the metrics with the pathological biomarker beta-amyloid (Aβ) and cognitive scores (mPACC and ADAS11) were assessed using general linear models. Multiple comparisons were corrected via a false discovery rate (FDR). We found that preclinical AD patients had reduced FCD and fALFF in specific WM bundles, such as cingulate and hippocampal cingulum, compared to controls (FDR corrected

Indexed as

beta-amyloidcognitive declinefALFFfMRIfunctional connectivity densitymPACCpreclinical Alzheimer’s diseasewhite matter

Identifiers

PMID40357390
PMCPMC12068856

What OpenQuestion holds

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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.