Evidence map›Paper›PMID 41727915›Full record

ArticleArXiv2026

Algebraic Connectivity Reveals Modulated High-Order Functional Networks in Alzheimer's Disease.

Giorgio Dolci, Silvia Saglia, Lorenza Brusini, Vince D Calhoun, Ilaria Boscolo Galazzo, Gloria Menegaz, Alzheimer’s Disease Neuroimaging Initiative

Abstract readPreprint
PubMed Full text at PMC
In one paragraph

Article in ArXiv, 2026. 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

5 · Who and what money

Authors and funding

7 authors.

Giorgio DolciDepartment of Computer Science, University of Verona, Verona, Italy.
Silvia SagliaDepartment of Engineering for Innovation Medicine, University of Verona, Verona, Italy.
Lorenza BrusiniDepartment of Engineering for Innovation Medicine, University of Verona, Verona, Italy.
Vince D CalhounTri-Institutional Center for Translational Research in Neuroimaging and Data Science, 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.
Alzheimer’s Disease Neuroimaging Initiative

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

Functional MRI is a neuroimaging technique that analyzes the functional activity of the brain by measuring blood-oxygen-level-dependent signals throughout the brain. The derived functional features can be used for investigating brain alterations in neurological and psychiatric disorders. In this work, we employed a hypergraph to model high-order functional relations across brain regions, introducing algebraic connectivity

Indexed as

Alzheimer’s DiseaseFunctional MRIHigh-OrderHyperedgeHypergraphWeights Computation

Identifiers

PMID41727915
PMCPMC12919231

What OpenQuestion holds

Textmetadata
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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.