Evidence map›Paper›PMID 41256650›Full record

ArticlebioRxiv : the preprint server for biology2025

Multimodal Fusion Analysis of [18F]Florbetapir PET and Multiscale Functional Network Connectivity in Alzheimer's Disease.

Bikesh Bimali, Nigar Khasayeva, Adithya Ram Ballem, Geethanjali Nagaboina, Jiayu Chen, Alex Fedorov, James J Lah, Allan Levey, Vince D Calhoun, Armin Iraji

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

10 authors.

Bikesh BimaliTri-Institutional Center for Translational Research in Neuroimaging and Data Science (Georgia State University, Georgia Institute of Technology, Emory University), Atlanta, USA.ORCID 0009-0006-7758-9257
Nigar KhasayevaTri-Institutional Center for Translational Research in Neuroimaging and Data Science (Georgia State University, Georgia Institute of Technology, Emory University), Atlanta, USA.
Adithya Ram BallemTri-Institutional Center for Translational Research in Neuroimaging and Data Science (Georgia State University, Georgia Institute of Technology, Emory University), Atlanta, USA.
Geethanjali NagaboinaTri-Institutional Center for Translational Research in Neuroimaging and Data Science (Georgia State University, Georgia Institute of Technology, Emory University), Atlanta, USA.
Jiayu ChenTri-Institutional Center for Translational Research in Neuroimaging and Data Science (Georgia State University, Georgia Institute of Technology, Emory University), Atlanta, USA.
Alex FedorovCenter for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
James J LahDepartment of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Allan LeveyDepartment of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Vince D CalhounTri-Institutional Center for Translational Research in Neuroimaging and Data Science (Georgia State University, Georgia Institute of Technology, Emory University), Atlanta, USA.ORCID 0000-0001-9058-0747
Armin IrajiTri-Institutional Center for Translational Research in Neuroimaging and Data Science (Georgia State University, Georgia Institute of Technology, Emory University), Atlanta, USA.

Funding

The Goizueta Alzheimer's Disease Research CenterP30AG066511 · NIA · EMORY UNIVERSITY · PI Amy D Rodriguez · 2020 to 2026
$29.0M
Sex-Specific Psychosis Biotypes: Informed Data-driven Neurobiological and Genomic Markers for Early Risk DetectionR01MH136665 · NIMH · GEORGIA STATE UNIVERSITY · PI Jiayu Chen, Armin Iraji · 2025 to 2026
$998k
NIA NIH HHS P30 AG066511NIMH NIH HHS R01 MH136665
6 · The paper itself

Abstract

Accumulation of amyloid-beta plaques and disruption of intrinsic brain networks are two important characteristics of Alzheimer's disease (AD), yet the relationship between amyloid accumulation and network dysfunction remains unclear. In this study, we integrated [18F]Florbetapir PET and resting-state fMRI (rsfMRI) derived Functional Network Connectivity (FNC) from 552 temporally matched longitudinal PET-rsfMRI sessions across 395 participants spanning Cognitively Normal (CN), Mild Cognitive Impairment (MCI), and AD stages. With a model order of 11, joint Independent Component Analysis (jICA) was applied to the fused PET-FNC data, identifying 11 stable components, of which 9 PET-derived components corresponded to previously characterized brain regions or networks. The multimodal analysis revealed disease progression markers, including (1) a pattern of reduced subject loadings across clinical stages (CN > MCI > AD) in white matter and cerebellar regions, reflecting structural degeneration; (2) increased amyloid accumulation in affected individuals in grey matter regions, particularly in frontal, sensorimotor, extended hippocampal, and default mode network (DMN) regions, accompanied by functional connectivity alterations that reflected both compensatory and disruptive network dynamics. We identified PET-derived components that captured distinct stages of disease progression, with the DMN component emerging as a late-stage biomarker and a white matter component showing early-stage changes with limited progression thereafter. Additionally, several components showed significant variation in loadings between APOE ε4 carriers and non-carriers, linking the multimodal signatures to a well-established genetic risk factor for AD.

Indexed as

Alzheimer’s diseaseAmyloid-betaAPOE genotypeFunctional Network ConnectivityIndependent Component AnalysisMultimodal fusionPositron Emission TomographyResting-state fMRI

Identifiers

PMID41256650
PMCPMC12621773

What OpenQuestion 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 OpenQuestion graph.