Evidence map›Paper›PMID 31998866›Full record

ArticleBrain communications2020

Mechanical property alterations across the cerebral cortex due to Alzheimer's disease.

Lucy V Hiscox, Curtis L Johnson, Matthew D J McGarry, Helen Marshall, Craig W Ritchie, Edwin J R van Beek, Neil Roberts, John M Starr

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% of its field
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

57 citing papers in PubMed, 1 synthesis or guideline pooled it, 95 citations in OpenAlex.

  1. Pooled it
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  17. Stiffness analysis of meningiomas using neural network-based inversion on MR Elastography.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024
    Article
  18. Article
  19. Review
  20. Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model.IEEE transactions on neural networks and learning systems · 2024
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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

8 authors at 5 institutions in 2 countries.

Lucy V HiscoxAlzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh EH8 9JZ, UK.
Curtis L JohnsonDepartment of Biomedical Engineering, University of Delaware, Newark, DE 19713, USA.
Matthew D J McGarryThayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA.
Helen MarshallEdinburgh Imaging Facility, School of Clinical Sciences, The Queen's Medical Research Institute (QMRI), University of Edinburgh, Edinburgh EH16 4TJ, UK.
Craig W RitchieCentre for Dementia Prevention at Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4UX, UK.
Edwin J R van BeekEdinburgh Imaging Facility, School of Clinical Sciences, The Queen's Medical Research Institute (QMRI), University of Edinburgh, Edinburgh EH16 4TJ, UK.ORCID 0000-0002-2777-5071
Neil RobertsEdinburgh Imaging Facility, School of Clinical Sciences, The Queen's Medical Research Institute (QMRI), University of Edinburgh, Edinburgh EH16 4TJ, UK.
John M StarrAlzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh EH8 9JZ, UK.
The Queen's Medical Research Institute · GBAlzheimer Scotland · GBDartmouth College · USUniversity of Delaware · USUniversity of Edinburgh · GB

Funding

Mechanical integrity of memory systems in mild cognitive impairmentR01AG058853 · NIA · UNIVERSITY OF DELAWARE · PI JOHNSON, CURTIS L · 2018 to 2022
$2.3M
NIA NIH HHS R01 AG058853
6 · The paper itself

Abstract

Alzheimer's disease is a personally devastating neurodegenerative disorder and a major public health concern. There is an urgent need for medical imaging techniques that better characterize the early stages and monitor the progression of the disease. Magnetic resonance elastography (MRE) is a relatively new and highly sensitive MRI technique that can non-invasively assess tissue microstructural integrity via measurement of brain viscoelastic mechanical properties. For the first time, we use high-resolution MRE methods to conduct a voxel-wise MRE investigation and state-of-the-art

Indexed as

Alzheimer’s diseasedementiamagnetic resonance elastographyviscoelasticityvoxel-based morphometry

Identifiers

PMID31998866
PMCPMC6976617
OpenAlexW2995936192

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.