Evidence map›Paper›PMID 27847345›Full record

ArticleNeuroImage2017

Differential associations between systemic markers of disease and cortical thickness in healthy middle-aged and older adults.

Artur Martins Coutinho, Jean-Philippe Coutu, Emily Rose Lindemer, H Diana Rosas, Bruce R Rosen, David H Salat

Open access · greenAbstract read
In one paragraph

Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.7field-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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Dyslipidemia and cerebral atrophy among health check-up individuals: A cross-sectional study.International journal of cardiology. Cardiovascular risk and prevention · 2025
    Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. 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

6 authors at 4 institutions in 2 countries.

Artur Martins CoutinhoMGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; Department of Radiology, University of Sao Paulo Medical School, Centro de Medicina Nuclear (LIM 43), Sao Paulo, Brazil; Hospital Sirio Libanes, Nuclear Medicine and PET/CT Service, Sao Paulo, Brazil. Electronic address: artur.coutinho@hc.fm.usp.br.
Jean-Philippe CoutuMGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; Biospective Inc., Montreal, Canada.
Emily Rose LindemerMGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; Harvard-Massachusetts Institute of Technology Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA.
H Diana RosasMGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Bruce R RosenMGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
David H SalatMGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Neuroimaging Research for Veterans Center, VA Boston Healthcare System, Boston, MA, USA.
Athinoula A. Martinos Center for Biomedical Imaging · USMassachusetts General Hospital · USUniversidade de São Paulo · BRVA Boston Healthcare System · US

Funding

ULTRAHIGH FIELD TECHNOLOGY FOR FUNCTIONAL IMAGINGP41RR014075 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI BOAS, DAVID A · 1999 to 2011
$16.4M
Neuroimaging Biomarkers for disease-modyfying therapies in Hintington's diseaseP01NS058793 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI HERSCH, STEVEN M · 2008 to 2012
$6.6M
Prospective Neuroimaging in Huntington's DiseaseR01NS042861 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI ROSAS, HERMINIA DIANA · 2003 to 2013
$5.6M
Cerebrovascular Contributions to Brain Aging and DementiaR01NR010827 · NINR · MASSACHUSETTS GENERAL HOSPITAL · PI SALAT, DAVID H · 2007 to 2017
$5.0M
Neuroimaging Training ProgramT32EB001680 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BRUCE R ROSEN · 2003 to 2026
$3.8M
A Storage Area Network for Structural and Functional Image AnalysisS10RR023401 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2009 to 2009
$2.0M
SILICON GRAPHICS PRISM EXTREME 128P/1TBS10RR023043 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI SORENSEN, ALMA GREGORY · 2006 to 2006
$1.5M
Prospective Neuroimaging in Huntington's DiseaseR56NS042861 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI ROSAS, HERMINIA DIANA · 2014 to 2014
$870k
A 3.0 Tesla MRI System in a Neuroscience ICUS10RR019254 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI SORENSEN, ALMA GREGORY · 2004 to 2004
$500k
A Siemens MAGNETOTOM Trio 3 Tesla MRI SystemS10RR021110 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2006 to 2006
$500k
Computeserver Structural &Functional Image AnalysisS10RR019307 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE · 2004 to 2004
$496k
NCRR NIH HHS P41 RR014075NCRR NIH HHS S10 RR019254NCRR NIH HHS S10 RR019307NCRR NIH HHS S10 RR021110NCRR NIH HHS S10 RR023043NCRR NIH HHS S10 RR023401NIBIB NIH HHS T32 EB001680NINDS NIH HHS P01 NS058793NINDS NIH HHS R01 NS042861NINDS NIH HHS R56 NS042861NINR NIH HHS R01 NR010827
6 · The paper itself

Abstract

Aside from cortical damage associated with age, cerebrovascular and neurodegenerative diseases, it's an outstanding question if factors of global health, including normal variation in blood markers of metabolic and systemic function, may also be associated with individual variation in brain structure. This cross-sectional study included 138 individuals between 40 to 86 years old who were physically healthy and cognitively intact. Eleven markers (total cholesterol, HDL, LDL, triglycerides, insulin, fasting glucose, glycated hemoglobin, creatinine, blood urea nitrogen, albumin, total protein) and five derived indicators (estimated glomerular filtration rate, creatinine clearance rate, insulin-resistance, average glucose, and cholesterol/HDL ratio) were obtained from blood sampling of all participants. T1-weighted 3T MRI scans were used to evaluate gray matter cortical thickness. The markers were clustered into five factors, and factor scores were related to cortical thickness by general linear model. Two factors, one linked to insulin/metabolic health and the other to kidney function (KFF) showed regionally selective associations with cortical thickness including lateral and medial temporal, temporoparietal, and superior parietal regions for both factors and frontoparietal regions for KFF. An association between the increasing cholesterol and greater thickness in frontoparietal and occipital areas was also noted. Associations persisted independently of age, presence of cardiovascular risk factors and ApoE gene status. These findings may provide information on distinct mechanisms of inter-individual cortical variation as well as factors contributing to trajectories of cortical thinning with advancing age.

Indexed as

AdultAgedAged, 80 and overBiomarkersBlood PressureCerebral CortexCross-Sectional StudiesFemaleGray MatterHumansMaleMiddle AgedBiomarkersAgingCholesterolGray matterInsulinKidneyMagnetic resonance imaging

Identifiers

PMID27847345
PMCPMC5321862
OpenAlexW2552614833

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.