Evidence map›Paper›PMID 40961977›Full record

ArticleJournal of neural engineering2025

An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease.

Giorgio Dolci, Federica Cruciani, Md Abdur Rahaman, Anees Abrol, Jiayu Chen, Zening Fu, Ilaria Boscolo Galazzo, Gloria Menegaz, Vince D Calhoun

Abstract read
In one paragraph

Article in Journal of neural engineering, 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. Review
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Giorgio DolciDepartment of Computer Science, University of Verona, Verona, Italy.ORCID 0009-0002-7817-7984
Federica CrucianiDepartment of Engineering for Innovation Medicine, University of Verona, Verona, Italy.ORCID 0000-0001-7258-1463
Md Abdur RahamanTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States of America.ORCID 0000-0002-4241-2439
Anees AbrolTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States of America.ORCID 0000-0001-9223-5314
Jiayu ChenTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States of America.ORCID 0000-0001-5059-372X
Zening FuTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States of America.ORCID 0000-0002-1591-4900
Ilaria Boscolo GalazzoDepartment of Engineering for Innovation Medicine, University of Verona, Verona, Italy.ORCID 0000-0002-4153-3749
Gloria MenegazDepartment of Engineering for Innovation Medicine, University of Verona, Verona, Italy.ORCID 0000-0002-6889-3461
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, United States of America.ORCID 0000-0001-9058-0747

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Data driven dynamic activity/connectivity methods for early detection of Alzheimer’sR01AG073949 · NIA · GEORGIA STATE UNIVERSITY · PI ADALI, TULAY, CALHOUN, VINCE D · 2021 to 2025
$3.7M
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 AG073949NIA NIH HHS R01 AG090597NIA NIH HHS RF1 AG063153NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Alzheimer DiseaseGenomicsMultimodal ImagingNeuroimagingAgedAged, 80 and overBrainCognitive DysfunctionDeep LearningFemaleHumansMagnetic Resonance ImagingMalePolymorphism, Single NucleotideAlzheimer’s diseaseexplainable AIgenerative modelimaging-genetics

Identifiers

PMID40961977
PMCPMC12481582

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.