Evidence map›Paper›PMID 28199858›Full record

ArticlePsychoneuroendocrinology2017

Associations between hippocampal morphology, diffusion characteristics, and salivary cortisol in older men.

Simon R Cox, Maria Del Carmen Valdés Hernández, Jaeil Kim, Natalie A Royle, Sarah E MacPherson, Karen J Ferguson, Susana Muñoz Maniega, Devasuda Anblagan, Benjamin S Aribisala, Mark E Bastin and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Psychoneuroendocrinology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  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

15 authors at 3 institutions in 3 countries.

Simon R CoxCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, UK; Department of Psychology, University of Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK.
Maria Del Carmen Valdés HernándezCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK; Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, UK. Electronic address: M.Valdes_Hernan@ed.ac.uk.
Jaeil KimSchool of Computing, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea.
Natalie A RoyleCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK; Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, UK.
Sarah E MacPhersonCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, UK; Department of Psychology, University of Edinburgh, UK.
Karen J FergusonCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK; Edinburgh Delirium Research Group, Geriatric Medicine, University of Edinburgh, UK.
Susana Muñoz ManiegaCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK; Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, UK.
Devasuda AnblaganCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK; Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, UK.
Benjamin S AribisalaDepartment of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, UK; Department of Computer Science, Lagos State University, Lagos, Nigeria.
Mark E BastinCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK; Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, UK.
Jinah ParkSchool of Computing, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea.
John M StarrCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, UK.
Ian J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, UK; Department of Psychology, University of Edinburgh, UK.
Alasdair M J MacLullichCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, UK; Edinburgh Delirium Research Group, Geriatric Medicine, University of Edinburgh, UK.
Joanna M WardlawCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK; Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, UK.
University of Edinburgh · GBKorea Advanced Institute of Science and Technology · KRLagos State University · NG

Funding

Medical Research Council G0701120Medical Research Council G1001245Medical Research Council G1001401Medical Research Council G108/646Medical Research Council MR/K026992/1Medical Research Council MR/M013111/1
6 · The paper itself

Abstract

High, unabated glucocorticoid (GC) levels are thought to selectively damage certain tissue types. The hippocampus is thought to be particularly susceptible to such effects, and though findings from animal models and human patients provide some support for this hypothesis, evidence for associations between elevated GCs and lower hippocampal volumes in older age (when GC levels are at greater risk of dysregulation) is inconclusive. To address the possibility that the effects of GCs in non-pathological ageing may be too subtle for gross volumetry to reliably detect, we analyse associations between salivary cortisol (diurnal and reactive measures), hippocampal morphology and diffusion characteristics in 88 males, aged ∼73 years. However, our results provide only weak support for this hypothesis. Though nominally significant peaks in morphology were found in both hippocampi across all salivary cortisol measures (standardised β magnitudes<0.518, p

Indexed as

AgedHippocampusHumansHydrocortisoneMagnetic Resonance ImagingMaleOrgan SizeSalivaHydrocortisone3D shape analysisAgeingBrainCortisolHippocampusMRI

Identifiers

PMID28199858
PMCPMC5380197
OpenAlexW2581968045

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.