Evidence map›Paper›PMID 39737627›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2025

Microstructural mapping of neural pathways in Alzheimer's disease using macrostructure-informed normative tractometry.

Yixue Feng, Bramsh Q Chandio, Julio E Villalon-Reina, Sophia I Thomopoulos, Talia M Nir, Sebastian Benavidez, Emily Laltoo, Tamoghna Chattopadhyay, Himanshu Joshi, Ganesan Venkatasubramanian and 7 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. [European journal of nuclear medicine and molecular imaging · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Hippocampal grey matter changes across scales in Alzheimer's Disease.bioRxiv : the preprint server for biology · 2025
    Article
  7. Lifespan Normative Modeling of Brain Microstructure.bioRxiv : the preprint server for biology · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. bioRxiv : the preprint server for biology · 2024
    Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Yixue FengImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA.ORCID 0000-0003-1015-4209
Bramsh Q ChandioImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA.
Julio E Villalon-ReinaImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA.
Sophia I ThomopoulosImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA.
Talia M NirImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA.
Sebastian BenavidezImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA.
Emily LaltooImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA.
Tamoghna ChattopadhyayImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA.
Himanshu JoshiMultimodal Brain Image Analysis Laboratory, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, India.
Ganesan VenkatasubramanianTranslational Psychiatry Laboratory, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, India.
John P JohnMultimodal Brain Image Analysis Laboratory, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, India.
Neda JahanshadImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA.
Robert I ReidDepartment of Information Technology, Mayo Clinic and Foundation, Rochester, Minnesota, USA.
Clifford R JackDepartment of Radiology, Mayo Clinic and Foundation, Rochester, Minnesota, USA.
Michael W WeinerDepartment of Radiology and Biomedical Imaging, UCSF School of Medicine, San Francisco, California, USA.
Paul M ThompsonImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA.
Alzheimer's Disease Neuroimaging Initiative

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI Duygu Tosun-Turgut · 2016 to 2026
$226.7M
India ENIGMA Initiative for Global Aging & Mental HealthR01AG060610 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GANESAN, VENKATASUBRAMANIAN, JOHN, JOHN P · 2019 to 2024
$2.8M
FiberNET: Deep learning to evaluate brain tract integrity worldwide and in ADR01AG057892 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2024 to 2024
$638k
Department of Science and Technology, Government of India DST/CSRI/2017/249 (G)Department of Science and Technology, Government of India DST-SR/CSI/70/2011 (G)Department of Science and Technology, Government of India DSTSR/CSI/73/2011 (G)NIA NIH HHS R01 AG057892NIA NIH HHS R01 AG060610NIA NIH HHS U19 AG024904NIH HHS R01 AG060610US Alzheimer's Association AARG-23-1149996
6 · The paper itself

Abstract

introductionDiffusion-weighted magnetic resonance imaging (dMRI) is sensitive to the microstructural properties of brain tissues and shows great promise in detecting the effects of degenerative diseases. However, many approaches analyze single measures averaged over regions of interest without considering the underlying fiber geometry.

methodsWe propose a novel macrostructure-informed normative tractometry (MINT) framework to investigate how white matter (WM) microstructure and macrostructure are jointly altered in mild cognitive impairment (MCI) and dementia. We compared MINT-derived metrics with univariate diffusion tensor imaging (DTI) metrics to examine how fiber geometry may impact the interpretation of microstructure.

resultsIn two multisite cohorts from North America and India, we find consistent patterns of microstructural and macrostructural anomalies implicated in MCI and dementia; we also rank diffusion metrics' sensitivity to dementia. DISCUSSION: We show that MINT, by jointly modeling tract shape and microstructure, has the potential to disentangle and better interpret the effects of degenerative disease on the brain's neural pathways. HIGHLIGHTS: Changes in diffusion tensor imaging metrics may be due to macroscopic changes. Normative models encode normal variability of diffusion metrics in healthy controls. Variational autoencoder applied on tractography can learn patterns of fiber geometry. WM microstructure and macrostructure are modeled with multivariate methods. Transfer learning uses pretraining and fine-tuning for increased efficiency.

Indexed as

Alzheimer DiseaseBrainCognitive DysfunctionNeural PathwaysWhite MatterAgedAged, 80 and overCohort StudiesDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleHumansMaleMiddle AgedAlzheimer's diseaseanomaly detectiondeep generative modelsdiffusion magnetic resonance imagingnormative modelingtractometrytransfer learning

Identifiers

PMID39737627
PMCPMC11782200

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.