Evidence map›Paper›PMID 30187206›Full record

ArticleBrain imaging and behavior2019

Age specificity in fornix-to-hippocampus association.

Yunglin Gazes, Peipei Li, Emily Sun, Qolamreza Razlighi, Angeliki Tsapanou

Open access · greenAbstract read
In one paragraph

Article in Brain imaging and behavior, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Genetically linked brain imaging markers of memory decline in aging and Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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 at 1 institution in 1 country.

Yunglin GazesCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, 630 W 168th Street, P&S Box 16, New York, NY, 10032, USA. YL2107@cumc.columbia.edu.
Peipei LiCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, 630 W 168th Street, P&S Box 16, New York, NY, 10032, USA.
Emily SunCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, 630 W 168th Street, P&S Box 16, New York, NY, 10032, USA.
Qolamreza RazlighiCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, 630 W 168th Street, P&S Box 16, New York, NY, 10032, USA.
Angeliki TsapanouCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, 630 W 168th Street, P&S Box 16, New York, NY, 10032, USA.
Columbia University Irving Medical Center · US

Funding

Exploring Cognitive Aging Using Reference Ability Neural NetworksR01AG038465 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HABECK, CHRISTIAN GEORG, STERN, YAAKOV · 2011 to 2025
$17.0M
Imaging of Cognition, Learning and Memory in AgingR01AG026158 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STERN, YAAKOV · 2004 to 2021
$10.9M
Exploring Cognitive Aging Using Refernce Ability Neural NetworksRF1AG038465 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HABECK, CHRISTIAN GEORG, STERN, YAAKOV · 2016 to 2018
$7.6M
Analyzing age-related changes of brain activation in subjects native spaceK01AG044467 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI RAZLIGHI, QOLAMREZA RAY · 2013 to 2017
$636k
Longitudinal changes in white matter integrity predicting cognitive changes in reasoning and vocabulary abilitiesK01AG051777 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GAZES, YUNGLIN · 2016 to 2020
$623k
NIA NIH HHS K01 AG044467NIA NIH HHS K01 AG051777NIA NIH HHS K01AG051777NIA NIH HHS R01 AG026158NIA NIH HHS R01AG026158NIA NIH HHS R01 AG038465NIA NIH HHS RF1 AG038465NIA NIH HHS RF1AG038465
6 · The paper itself

Abstract

Both white and grey matter atrophy with age, but it is still unclear how decline in white matter relates to decline in grey matter, and how this relationship varies with age. In a group of healthy adults from 20 to 80 years old, divided into three age groups by tertiles, we cross-sectionally examined the white-to-grey matter associations in the fornix and the hippocampus, and tested if and how the fornix-to-hippocampus relationship differs across the age groups. Both structures were also tested as predictors for performance on a memory test, the Selective Reminding Task (SRT). Participants were imaged with T1-weighted magnetic resonance imaging (MRI) and diffusion-weighted imaging (DWI), from which the hippocampal volume, fractional anisotropy (FA), and mean diffusivity (MD) for the bilateral crus and body of the fornix were calculated. Our data showed that even after accounting for age, sex, and motion parameters, fornix integrity predicted hippocampal volume in the two older age groups (middle and old age) for the crus of the fornix, and only in the oldest age group for the body of the fornix. Furthermore, fornix integrity significantly predicted SRT performance, whereas hippocampal volume did not; this relationship was also observed only in the oldest age group, and absent in the two younger age groups. The age specificity of the relationships suggests that the fornix-to-hippocampus relationship only manifests once brain structures begin to atrophy in old age, and that fornix integrity is a more sensitive measure for episodic memory than is hippocampal volume.

Indexed as

AdultAgedAged, 80 and overAgingAnisotropyDiffusion Tensor ImagingFemaleFornix, BrainHippocampusHumansMagnetic Resonance ImagingMaleMemory, EpisodicMiddle AgedNeuropsychological TestsWhite MatterAgingDiffusion tensor imagingEpisodic memoryFornixHippocampusT1-weighted imaging

Identifiers

PMID30187206
PMCPMC6401355
OpenAlexW2890059158

What OpenQuestion holds

Textmetadata
LicenceTDM
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.