Evidence map›Paper›PMID 23955313›Full record

ArticleBrain structure & function2014

Gray-matter macrostructure in cognitively healthy older persons: associations with age and cognition.

Debra A Fleischman, Sue Leurgans, Konstantinos Arfanakis, Zoe Arvanitakis, Lisa L Barnes, Patricia A Boyle, S Duke Han, David A Bennett

Abstract read
In one paragraph

Article in Brain structure & function, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

30 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
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  6. 24-hour activity cycle behaviors and gray matter volume in mild cognitive impairment.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  7. Predictive risk model of mild cognitive impairment in patients with malignant haematological diseases after haematopoietic stem cell transplantation.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  8. Article
  9. Diabetes accelerates Alzheimer's disease progression in the first year post mild cognitive impairment diagnosis.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
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  20. Religious Orders Study and Rush Memory and Aging Project.Journal of Alzheimer's disease : JAD · 2018
    Review
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 2 institutions in 1 country.

Debra A FleischmanRush Alzheimer's Disease Center, Rush University Medical Center, Armour Academic Center Offices, 600 S. Paulina Suite 1038, 1653 W. Congress Parkway, Chicago, IL, 60612, USA, Debra_Fleischman@rush.edu.
Sue Leurgans
Konstantinos Arfanakis
Zoe Arvanitakis
Lisa L Barnes
Patricia A Boyle
S Duke Han
David A Bennett
Rush University Medical Center · USVA Long Beach Healthcare System · US

Funding

EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
Characterizing the Behavior Profile of Healthy Cognitive AgingR01AG034374 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI PATRICIA A BOYLE · 2009 to 2026
$8.8M
Rush Center of Excellence on Disparties in HIV and Aging (CEDHA)P20MD006886 · NIMHD · RUSH UNIVERSITY MEDICAL CENTER · PI SHAH, RAJ C · 2012 to 2016
$6.0M
Vascular Cognitive and Motor Decline: Impact of aPLR01AG040039 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI ARVANITAKIS, ZOE · 2011 to 2015
$2.9M
Neural Correlates of Impaired Financial & Health Care Decision-Making in Old AgeK23AG040625 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HAN, DUKE · 2012 to 2016
$820k
NIA NIH HHS K23 AG040625NIA NIH HHS K23AG40625NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG034374NIA NIH HHS R01 AG040039NIA NIH HHS R01AG17917NIA NIH HHS R01AG34374NIA NIH HHS R01AG40039NIMHD NIH HHS P20 MD006886NIMHD NIH HHS P20MD6886
6 · The paper itself

Abstract

A deeper understanding of brain macrostructure and its associations with cognition in persons who are considered cognitively healthy is critical to the early detection of persons at risk of developing dementia. Few studies have examined the associations of all three gray-matter macrostructural brain indices (volume, thickness, surface area) with age and cognition, in the same persons who are over the age of 65 and do not have cognitive impairment. We performed automated morphometric reconstruction of total gray matter, cortical gray matter, subcortical gray matter and 84 individual regions in 186 persons (60 % over the age of 80) without cognitive impairment. Morphometric measures were scaled and expressed as difference per decade of age and an adjusted score was created to identify those regions in which there was greater atrophy per decade of age compared to cortical or subcortical brain averages. The results showed that there is substantial total volume loss and cortical thinning in cognitively healthy older persons. Thinning was more widespread than volume loss, but volume loss, particularly in temporoparietal and hippocampal regions, was more strongly associated with cognition.

Indexed as

AgingAgedAged, 80 and overBrainCognitionFemaleGray MatterHumansImage Processing, Computer-AssistedMagnetic Resonance SpectroscopyMaleNeuropsychological Tests

Identifiers

PMID23955313
PMCPMC3926914
OpenAlexW2076284955

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.