Evidence map›Paper›PMID 40161995›Full record

ArticleNetwork neuroscience (Cambridge, Mass.)2025

Multimodal MRI accurately identifies amyloid status in unbalanced cohorts in Alzheimer's disease continuum.

Giorgio Dolci, Charles A Ellis, Federica Cruciani, Lorenza Brusini, Anees Abrol, Ilaria Boscolo Galazzo, Gloria Menegaz, Vince D Calhoun, Alzheimer’s Disease Neuroimaging Initiative

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Network neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

9 authors.

Giorgio DolciDepartment of Computer Science, University of Verona, Verona, Italy.
Charles A EllisTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.
Federica CrucianiDepartment of Engineering for Innovation Medicine, University of Verona, Verona, Italy.
Lorenza BrusiniDepartment of Engineering for Innovation Medicine, University of Verona, Verona, Italy.
Anees AbrolTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.
Ilaria Boscolo GalazzoDepartment of Engineering for Innovation Medicine, University of Verona, Verona, Italy.
Gloria MenegazDepartment of Engineering for Innovation Medicine, University of Verona, Verona, Italy.
Vince D CalhounTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.
Alzheimer’s Disease Neuroimaging Initiative

Funding

Flexible multivariate models for linking multi-scale connectome and genome data in Alzheimer's disease and related disordersRF1AG063153 · NIA · GEORGIA STATE UNIVERSITY · PI CALHOUN, VINCE D, LIU, JINGYU · 2019 to 2020
$3.5M
Flexible multivariate models for linking multi-scale connectome and genome data in Alzheimer’s disease and related disordersR01AG090597 · NIA · GEORGIA STATE UNIVERSITY · PI VINCE D CALHOUN, Jingyu Liu · 2025 to 2026
$1.6M
NIA NIH HHS R01 AG090597NIA NIH HHS RF1 AG063153
6 · The paper itself

Abstract

Amyloid-

Indexed as

Alzheimer’s diseaseAmyloid-betaConnectivityDeep learningExplainable AI

Identifiers

PMID40161995
PMCPMC11949592

What OpenQuestion holds

Textmetadata
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.