Evidence map›Paper›PMID 33604746›Full record

ReviewBrain structure & function2021

Investigating the effects of healthy cognitive aging on brain functional connectivity using 4.7 T resting-state functional magnetic resonance imaging.

Stanislau Hrybouski, Ivor Cribben, John McGonigle, Fraser Olsen, Rawle Carter, Peter Seres, Christopher R Madan, Nikolai V Malykhin

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Brain structure & function, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  3. Review
  4. Resting-state functional connectivity correlates of brain structural aging in schizophrenia.European archives of psychiatry and clinical neuroscience · 2025
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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 4 institutions in 2 countries.

Stanislau HrybouskiNeuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada.
Ivor CribbenNeuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada.
John McGonigleDepartment of Brain Sciences, Imperial College London, London, UK.
Fraser OlsenDepartment of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada.
Rawle CarterDepartment of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, T6G 2V2, Canada.
Peter SeresDepartment of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada.
Christopher R MadanSchool of Psychology, University of Nottingham, Nottingham, UK.
Nikolai V MalykhinNeuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada. nikolai@ualberta.ca.
University of Alberta · CAImperial College London · GBUniversity of Nottingham · GBWomen and Children’s Health Research Institute · CA

Funding

CIHR MOP11501Natural Sciences and Engineering Research Council of Canada 06186Natural Sciences and Engineering Research Council of Canada 06638
6 · The paper itself

Abstract

Functional changes in the aging human brain have been previously reported using functional magnetic resonance imaging (fMRI). Earlier resting-state fMRI studies revealed an age-associated weakening of intra-system functional connectivity (FC) and age-associated strengthening of inter-system FC. However, the majority of such FC studies did not investigate the relationship between age and network amplitude, without which correlation-based measures of FC can be challenging to interpret. Consequently, the main aim of this study was to investigate how three primary measures of resting-state fMRI signal-network amplitude, network topography, and inter-network FC-are affected by healthy cognitive aging. We acquired resting-state fMRI data on a 4.7 T scanner for 105 healthy participants representing the entire adult lifespan (18-85 years of age). To study age differences in network structure, we combined ICA-based network decomposition with sparse graphical models. Older adults displayed lower blood-oxygen-level-dependent (BOLD) signal amplitude in all functional systems, with sensorimotor networks showing the largest age differences. Our age comparisons of network topography and inter-network FC demonstrated a substantial amount of age invariance in the brain's functional architecture. Despite architecture similarities, old adults displayed a loss of communication efficiency in our inter-network FC comparisons, driven primarily by the FC reduction in frontal and parietal association cortices. Together, our results provide a comprehensive overview of age effects on fMRI-based FC.

Indexed as

BrainCognitive AgingAgedBrain MappingHumansMagnetic Resonance ImagingNeural PathwaysBrain agingHigh-field fMRINetwork amplitudeResting-state fMRISparse graphs

Identifiers

PMID33604746
OpenAlexW3132903686

What OpenQuestion holds

Textmetadata
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.