Evidence map›Paper›PMID 38092890›Full record

ArticleMolecular psychiatry2024

Cortical microstructural associations with CSF amyloid and pTau.

Talia M Nir, Julio E Villalón-Reina, Lauren E Salminen, Elizabeth Haddad, Hong Zheng, Sophia I Thomopoulos, Clifford R Jack, Michael W Weiner, Paul M Thompson, Neda Jahanshad and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
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

18 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Brain microstructure mediates the relationship between Alzheimer's proteinopathies and memory.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. Gray Matter Microstructure Measured Using Diffusion Imaging as a Biomarker of Severity in Lewy Body Diseases.Movement disorders : official journal of the Movement Disorder Society · 2026
    Article
  4. Review
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  8. GPU Accelerated Modeling of Cortical Radial and Tangential Connectivity Changes in Neurodegeneration.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Talia M NirImaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA. tnir@usc.edu.ORCID 0000-0002-7106-7443
Julio E Villalón-ReinaImaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.
Lauren E SalminenImaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.
Elizabeth HaddadImaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.
Hong ZhengImaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.
Sophia I ThomopoulosImaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.
Clifford R JackDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-7916-622X
Michael W WeinerDepartment of Radiology, School of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Paul M ThompsonImaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.
Neda JahanshadImaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.
Alzheimer’s Disease Neuroimaging Initiative (ADNI)
University of Southern California · USMayo Clinic in Arizona · USUniversity of California, San Francisco · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease BiobanksU01AG068057 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Christos Davatzikos, Heng Huang · 2020 to 2026
$20.7M
ALZHEIMERS DISEASE PREVENTION TRIAL WITH ESTROGENSR01AG015922 · NIA · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI SANO, MARY · 1998 to 2007
$14.6M
TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VAN HORN, JOHN DARRELL · 2012 to 2022
$14.1M
ENIGMA World Aging CenterR01AG058854 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2021 to 2025
$3.3M
High resolution mapping of the genetic risk for disease in the aging brainR01AG059874 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JAHANSHAD, NEDA · 2018 to 2022
$3.1M
FiberNET: Deep learning to evaluate brain tract integrity worldwide and in ADRF1AG057892 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2020 to 2023
$2.6M
Worldwide Tractometry Initiative to Investigate Brain Microstructure, Cognitive Impairment & Dementia in Parkinsons DiseaseRF1NS136995 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JAHANSHAD, NEDA, THOMPSON, PAUL M · 2024 to 2024
$2.2M
Training in the Multiscale and Multimodal Analysis of Biomarkers in Alzheimer’s DiseaseT32AG058507 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARTHUR W TOGA · 2018 to 2026
$2.1M
Causal and Event Based Modeling of Brain Alterations in ADRDR01AG087513 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Neda Jahanshad · 2025 to 2026
$1.2M
Alzheimer's Association AARG-23-1149996Alzheimer's Association Zennith AwardNIA NIH HHS R01 AG058854NIA NIH HHS R01 AG059874NIA NIH HHS R01 AG087513NIA NIH HHS RF1 AG057892NIA NIH HHS T32 AG058507NIA NIH HHS U01 AG024904NIA NIH HHS U01 AG068057NIBIB NIH HHS P41 EB015922NINDS NIH HHS RF1 NS136995U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) P41EB015922U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG058854U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG059874U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) RF1AG057892U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) T32AG058507U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) U01AG068057
6 · The paper itself

Abstract

Diffusion MRI (dMRI) can be used to probe microstructural properties of brain tissue and holds great promise as a means to non-invasively map Alzheimer's disease (AD) pathology. Few studies have evaluated multi-shell dMRI models such as neurite orientation dispersion and density imaging (NODDI) and mean apparent propagator (MAP)-MRI in cortical gray matter where many of the earliest histopathological changes occur in AD. Here, we investigated the relationship between CSF pTau

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesCognitive DysfunctionDiffusion Magnetic Resonance ImagingPeptide Fragmentstau ProteinsAgedAged, 80 and overAmyloidBiomarkersBrainCerebral CortexDementiaFemaleGray MatterHumansAmyloidAmyloid beta-Peptidesamyloid beta-protein (1-42)BiomarkersPeptide Fragmentstau Proteins

Identifiers

PMID38092890
PMCPMC11116103
OpenAlexW4389685319

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.