Evidence map›Paper›PMID 29306583›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2018

Regional vulnerability in Alzheimer's disease: The role of cell-autonomous and transneuronal processes.

Diana Acosta, Fontasha Powell, Yize Zhao, Ashish Raj

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Gene-Modulated Network Diffusion for Improved Modeling of Amyloid-bioRxiv : the preprint server for biology · 2026
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  19. Models of Network Spread and Network Degeneration in Brain Disorders.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2018
    Review
  20. 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

4 authors.

Diana AcostaDepartment of Neuroscience, Weill Cornell Medical College of Cornell University, New York, NY, USA.
Fontasha PowellDepartment of Neuroscience, Weill Cornell Medical College of Cornell University, New York, NY, USA.
Yize ZhaoDepartment of Healthcare Policy and Research, Weill Cornell Medical College of Cornell University, New York, NY, USA.
Ashish RajDepartment of Neuroscience, Weill Cornell Medical College of Cornell University, New York, NY, USA; Department of Radiology and Biomedical Imaging, UCSF School of Medicine, San Francisco, CA, USA. Electronic address: asr2004@med.cornell.edu.

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MICHAEL W WEINER · 2016 to 2026
$226.7M
Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Predictive model of spread of Parkinson's pathology using network diffusionR01NS092802 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI GUPTA, AJAY, RAJ, ASHISH · 2016 to 2020
$2.8M
Multimodal modeling framework for fusing structural and functional connectome dataR01EB022717 · NIBIB · WEILL MEDICAL COLL OF CORNELL UNIV · PI NAGARAJAN, SRIKANTAN S., RAJ, ASHISH · 2016 to 2018
$1.6M
NIA NIH HHS U01 AG024904NIA NIH HHS U19 AG024904NIBIB NIH HHS R01 EB022717NINDS NIH HHS R01 NS092802
6 · The paper itself

Abstract

introductionThe stereotypical progression of Alzheimer's disease (AD) pathology is not fully understood. The selective impact of AD on distinct regions has led the field to question if innate vulnerability exists. This study aims to determine if the causative factors of regional vulnerability are dependent on cell-autonomous or transneuronal (non-cell autonomous) processes.

methodsUsing mathematical and statistical models, we analyzed the contribution of cell-autonomous and non-cell autonomous factors to predictive linear models of AD pathology.

resultsResults indicate gene expression as a weak contributor to predictive linear models of AD. Instead, the network diffusion model acts as a strong predictor of observed AD atrophy and hypometabolism. DISCUSSION: We propose a convenient methodology for identifying genes and their role in determining AD topography, in comparison with network spread. Results reinforce the role of transneuronal network spread on disease progression and suggest that innate gene expression plays a secondary role in seeding and subsequent disease progression.

Indexed as

Gene Expression RegulationAgedAged, 80 and overAlzheimer DiseaseAtrophyBrainDisease ProgressionFemaleGene Regulatory NetworksGenetic Predisposition to DiseaseHumansMagnetic Resonance ImagingMaleModels, StatisticalPredictive Value of TestsAlzheimer's diseaseAlzheimer's pathologyBrain network modelsCell-autonomous factorsNetwork diffusion modelRegional gene expressionRegional vulnerability

Identifiers

PMID29306583
PMCPMC5994366

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.