Evidence map›Paper›PMID 39655245›Full record

ArticleWiley interdisciplinary reviews. Computational statistics

Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging.

Daniel F Drake, Gordana Derado, Lijun Zhang, F DuBois Bowman, Alzheimer’s Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in Wiley interdisciplinary reviews. Computational statistics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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.

Daniel F DrakeDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0003-3308-8873
Gordana DeradoDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.ORCID 0000-0002-3346-0770
Lijun ZhangDepartment of Population and Quantitative Health Science, Case Western Reserve University, Cleveland, Ohio, USA.ORCID 0000-0003-4974-2745
F DuBois BowmanDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-3204-6535
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
Udall Catalyst Research Project: Retrosplenial Cholinergic and Attentional-Motor Integration DysfunctionP50NS123067 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI AHMED, OMAR JAMIL · 2021 to 2025
$11.6M
NIA NIH HHS U01 AG024904NINDS NIH HHS P50 NS123067
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a degenerative disorder involving significant memory loss and other cognitive deficits, manifesting as a progression from normal cognitive functioning to mild cognitive impairment to AD. The sooner an accurate diagnosis of probable AD is made, the easier it is to manage symptoms and plan for future therapy. Functional neuroimaging stands to be a useful tool in achieving early diagnosis. Among the many neuroimaging modalities, positron emission tomography (PET) provides direct regional assessment of, among others, brain metabolism, cerebral blood flow, amyloid deposition-all quantities of interest in the characterization of AD. However, there are analytic challenges in identifying early indicators of AD from these high-dimensional imaging data sets, and it is unclear whether early indicators of AD are more likely to emerge in localized patterns of brain activity or in patterns of correlation between distinct brain regions. Early PET-based analyses of AD focused on alterations in

Indexed as

Alzheimer’s diseaseBayesian modeling and inferencebrain activation analysisbrain connectivity analysisPET neuroimagingStatistical and Graphical Methods of Data Analysis > Analysis of High Dimensional DataStatistical Learning and Exploratory Methods of the Data Sciences > Modeling MethodsStatistical Models > Bayesian Models

Identifiers

PMID39655245
PMCPMC11626230

What OpenQuestion holds

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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.