Evidence map›Paper›PMID 30851100›Full record

ArticleBrain : a journal of neurology2019

The metabolic brain signature of cognitive resilience in the 80+: beyond Alzheimer pathologies.

Eider M Arenaza-Urquijo, Scott A Przybelski, Timothy L Lesnick, Jonathan Graff-Radford, Mary M Machulda, David S Knopman, Christopher G Schwarz, Val J Lowe, Michelle M Mielke, Ronald C Petersen and 2 more

Abstract read
In one paragraph

Article in Brain : a journal of neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

68 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Brain patterns and risk factors in the FINGER RCT multimodal lifestyle intervention.The journal of prevention of Alzheimer's disease · 2025
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8 more citing papers are in PubMed but not listed here.

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

12 authors.

Eider M Arenaza-UrquijoDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Scott A PrzybelskiHealth Science Research, Mayo Clinic, Rochester, Minnesota, USA.
Timothy L LesnickHealth Science Research, Mayo Clinic, Rochester, Minnesota, USA.
Jonathan Graff-RadfordDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Mary M MachuldaDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA.
David S KnopmanDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Christopher G SchwarzDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Val J LoweDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Michelle M MielkeHealth Science Research, Mayo Clinic, Rochester, Minnesota, USA.
Ronald C PetersenDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Clifford R JackDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Prashanthi VemuriDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
PREDICTING ALZHEIMERS DISEASE WITH MAGNETIC RESONANCER01AG011378 · NIA · MAYO CLINIC ROCHESTER · PI JACK, CLIFFORD R. · 1993 to 2017
$12.1M
Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Investigating Resistance and Resilience Mechanisms in Alzheimer’s DiseaseR01AG056366 · NIA · MAYO CLINIC ROCHESTER · PI PRASHANTHI VEMURI · 2017 to 2026
$7.0M
Disease pathways in the population determined by amyloid, tau, and neurodegeneration imaging biomarkersR37AG011378 · NIA · MAYO CLINIC ROCHESTER · PI CLIFFORD R. JACK · 2018 to 2026
$6.8M
Development, Validation, and Application of an Imaging based CVD ScaleR01NS097495 · NINDS · MAYO CLINIC ROCHESTER · PI VEMURI, PRASHANTHI · 2016 to 2020
$2.9M
EXTRAMURAL RES FACIL IMPROVEMENT PROG: POLYCYSTIC KIDNEY DISEASE, RENAL STUDIES,C06RR018898 · NCRR · MAYO CLINIC · PI BURNETT, JOHN C · 2004 to 2004
$2.3M
NCRR NIH HHS C06 RR018898NIA NIH HHS R01 AG011378NIA NIH HHS R01 AG034676NIA NIH HHS R01 AG056366NIA NIH HHS R37 AG011378NIA NIH HHS U01 AG024904NINDS NIH HHS R01 NS097495
6 · The paper itself

Abstract

Research into cognitive resilience imaging markers may help determine the clinical significance of Alzheimer's disease pathology among older adults over 80 years (80+). In this study, we aimed to identify a fluorodeoxyglucose (FDG)-PET based imaging marker of cognitive resilience. We identified 457 participants ≥ 80 years old (357 cognitively unimpaired, 118 cognitively impaired at baseline, mean age of 83.5 ± 3.2 years) from the population-based Mayo Clinic Study of Aging (MCSA) with baseline MRI, Pittsburgh compound B-PET and FDG-PET scans and neuropsychological evaluation. We identified a subset of 'resilient' participants (cognitively stable 80+, n = 192) who maintained normal cognition for an average of 5 years (2-10 years). Global PIB ratio, FDG-PET ratio and cortical thickness from Alzheimer's disease signature regions were used as Alzheimer's disease imaging biomarker outcomes and global cognitive z-score was used as a cognitive outcome. First, using voxel-wise multiple regression analysis, we identified the metabolic areas underlying cognitive resilience in cognitively stable 80+ participants, which we call the 'resilience signature'. Second, using multivariate linear regression models, we evaluated the association of risk and protective factors with the resilience signature and its added value for predicting global cognition beyond established Alzheimer's disease imaging biomarkers in the full 80+ sample. Third, we evaluated the utility of the resilience signature in conjunction with amyloidosis in predicting longitudinal cognition using linear mixed effect models. Lastly, we assessed the utility of the resilience signature in an independent cohort using ADNI (n = 358, baseline mean age of 80 ± 3.8). Our main findings were: (i) FDG-PET uptake in the bilateral anterior cingulate cortex and anterior temporal pole was associated with baseline global cognition in cognitively stable 80+ (the resilience signature); (ii) established Alzheimer's disease imaging biomarkers did not predict baseline global cognition in this subset of participants; (iii) in the full MCSA 80+ and ADNI cohorts, amyloid burden and FDG-PET in the resilience signature were the stronger predictors of baseline global cognition; (iv) sex and systemic vascular health predicted FDG-PET in the resilience signature, suggesting vascular health maintenance as a potential pathway to preserve the metabolism of these areas; and (v) the resilience signature provided significant information about global longitudinal cognitive change even when considering amyloid status in both the MCSA and ADNI cohorts. The FDG-PET resilience signature may be able to provide important information in conjunction with other Alzheimer's disease biomarkers for the determination of clinical prognosis. It may also facilitate identification of disease targeting modifiable risk factors such as vascular health maintenance.

Indexed as

Aged, 80 and overAlzheimer DiseaseAmyloidAmyloid beta-PeptidesAmyloidosisBiomarkersBrainCognitionCognitive DysfunctionCohort StudiesFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleNeuropsychological TestsAmyloidAmyloid beta-PeptidesBiomarkersAlzheimer's diseaseamyloid-PETcognitive reserveFDG-PETresilience

Identifiers

PMID30851100
PMCPMC6439329

What OpenQuestion holds

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Registered trials

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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.