Evidence map›Paper›PMID 31622410›Full record

ArticlePloS one2019

Hippocampal subfield volumes and pre-clinical Alzheimer's disease in 408 cognitively normal adults born in 1946.

Thomas D Parker, David M Cash, Christopher A S Lane, Kirsty Lu, Ian B Malone, Jennifer M Nicholas, Sarah-Naomi James, Ashvini Keshavan, Heidi Murray-Smith, Andrew Wong and 9 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
2.8field-weighted citation impact, top 10% 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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  11. Volumetric changes within hippocampal subfields in Alzheimer's disease continuum.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
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  17. Review
  18. Dissociable effects ofNature aging · 2021
    Article
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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

19 authors at 5 institutions in 1 country.

Thomas D ParkerThe Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom.ORCID 0000-0001-7679-4220
David M CashThe Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom.
Christopher A S LaneThe Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom.
Kirsty LuThe Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom.
Ian B MaloneThe Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom.
Jennifer M NicholasThe Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom.
Sarah-Naomi JamesMRC Unit for Lifelong Health and Ageing at University College London, London, United Kingdom.
Ashvini KeshavanThe Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom.
Heidi Murray-SmithThe Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom.
Andrew WongMRC Unit for Lifelong Health and Ageing at University College London, London, United Kingdom.
Sarah M BuchananThe Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom.
Sarah E KeussThe Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom.
Carole H SudreThe Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom.
Marc ModatThe Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom.
David L ThomasLeonard Wolfson Experimental Neurology Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom.ORCID 0000-0003-1491-1641
Sebastian J CrutchThe Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom.
Marcus RichardsMRC Unit for Lifelong Health and Ageing at University College London, London, United Kingdom.
Nick C FoxThe Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom.
Jonathan M SchottThe Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom.
UK Dementia Research Institute · GBMRC Unit for Lifelong Health and Ageing · GBKing's College London · GBLondon School of Hygiene & Tropical Medicine · GBNational Hospital for Neurology and Neurosurgery · GB

Funding

British Heart Foundation PG/17/90/33415Department of HealthEPA EP-W-17-011Medical Research Council CSUB19166Medical Research Council MC_UU_00019/3Medical Research Council MC_UU_12019/1Medical Research Council MC_UU_12019/2Medical Research Council MC_UU_12019/3Medical Research Council MR/L023784/1Medical Research Council MR/L023784/2Wellcome TrustWellcome Trust 200109/Z/15/Z
6 · The paper itself

Abstract

backgroundThe human hippocampus comprises a number of interconnected histologically and functionally distinct subfields, which may be differentially influenced by cerebral pathology. Automated techniques are now available that estimate hippocampal subfield volumes using in vivo structural MRI data. To date, research investigating the influence of cerebral β-amyloid deposition-one of the earliest hypothesised changes in the pathophysiological continuum of Alzheimer's disease-on hippocampal subfield volumes in cognitively normal older individuals, has been limited.

methodsUsing cross-sectional data from 408 cognitively normal individuals born in mainland Britain (age range at time of assessment = 69.2-71.9 years) who underwent cognitive assessment, 18F-Florbetapir PET and structural MRI on the same 3 Tesla PET/MR unit (spatial resolution 1.1 x 1.1 x 1.1. mm), we investigated the influences of β-amyloid status, age at scan, and global white matter hyperintensity volume on: CA1, CA2/3, CA4, dentate gyrus, presubiculum and subiculum volumes, adjusting for sex and total intracranial volume.

resultsCompared to β-amyloid negative participants (n = 334), β-amyloid positive participants (n = 74) had lower volume of the presubiculum (3.4% smaller, p = 0.012). Despite an age range at scanning of just 2.7 years, older age at time of scanning was associated with lower CA1 (p = 0.007), CA4 (p = 0.004), dentate gyrus (p = 0.002), and subiculum (p = 0.035) volumes. There was no evidence that white matter hyperintensity volume was associated with any subfield volumes.

conclusionThese data provide evidence of differential associations in cognitively normal older adults between hippocampal subfield volumes and β-amyloid deposition and, increasing age at time of scan. The relatively selective effect of lower presubiculum volume in the β-amyloid positive group potentially suggest that the presubiculum may be an area of early and relatively specific volume loss in the pathophysiological continuum of Alzheimer's disease. Future work using higher resolution imaging will be key to exploring these findings further.

Indexed as

AgedAlzheimer DiseaseAmyloidCross-Sectional StudiesFemaleHippocampusHumansLogistic ModelsMagnetic Resonance ImagingMaleParahippocampal GyrusPositron-Emission TomographyAmyloid

Identifiers

PMID31622410
PMCPMC6797197
OpenAlexW2980743900

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.