Evidence map›Paper›PMID 38895209›Full record

ArticlebioRxiv : the preprint server for biology2024

Unraveling Alzheimer's Disease: Investigating Dynamic Functional Connectivity in the Default Mode Network through DCC-GARCH Modeling.

Kun Yue, Jason Webster, Thomas Grabowski, Hesamoddin Jahanian, Ali Shojaie

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 authors.

Kun YueDepartment of Biostatistics, University of Washington, Seattle.ORCID 0000-0001-8850-2758
Jason WebsterDepartment of Radiology, University of Washington, Seattle.
Thomas GrabowskiDepartment of Radiology, University of Washington, Seattle.
Hesamoddin JahanianDepartment of Radiology, University of Washington, Seattle.
Ali ShojaieDepartment of Biostatistics, University of Washington, Seattle.

Funding

University of Washington Alzheimer's Disease Research CenterP30AG066509 · NIA · UNIVERSITY OF WASHINGTON · PI Amanda D. Boyd · 2020 to 2026
$29.0M
Neurobehavior, Neuropathology, and Risk Factors in Alzheimer's DiseaseT32AG052354 · NIA · UNIVERSITY OF WASHINGTON · PI Brian C. Kraemer, ELAINE R. PESKIND · 2016 to 2026
$6.7M
Statistical Machine Learning to Develop Connectome-Based Biomarkers of Alzheimer's Disease and Related DementiasRF1AG090462 · NIA · UNIVERSITY OF WASHINGTON · PI SAFIKHANI, ABOLFAZL, SHOJAIE, ALI · 2025 to 2025
$3.1M
NIA NIH HHS P30 AG066509NIA NIH HHS RF1 AG090462NIA NIH HHS T32 AG052354
6 · The paper itself

Abstract

Alzheimer's disease (AD) has a prolonged latent phase. Sensitive biomarkers of amyloid beta (

Indexed as

Alzheimer’s DiseaseAmyloid Beta BiomarkerDefault Mode NetworkDynamic Brain Functional ConnectivityResting-state fMRI

Identifiers

PMID38895209
PMCPMC11185527

What Socratic 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 Socratic graph.