Evidence map›Paper›PMID 27378909›Full record

ArticleFrontiers in aging neuroscience2016

Progressive Bidirectional Age-Related Changes in Default Mode Network Effective Connectivity across Six Decades.

Karl Li, Angela R Laird, Larry R Price, D Reese McKay, John Blangero, David C Glahn, Peter T Fox

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. 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

7 authors.

Karl LiResearch Imaging Institute, University of Texas Health Science Center San Antonio San Antonio, TX, USA.
Angela R LairdDepartment of Physics, Florida International University Miami, FL, USA.
Larry R PriceDepartment of Mathematics and College of Education, Texas State University San Marcos, TX, USA.
D Reese McKayDepartment of Psychiatry, Yale University School of MedicineNew Haven, CT, USA; Olin Neuropsychiatry Research Center, Institute of Living, Hartford HospitalHartford, CT, USA.
John BlangeroGenomics Computing Center, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine Edinburg, TX, USA.
David C GlahnDepartment of Psychiatry, Yale University School of MedicineNew Haven, CT, USA; Olin Neuropsychiatry Research Center, Institute of Living, Hartford HospitalHartford, CT, USA.
Peter T FoxResearch Imaging Institute, University of Texas Health Science Center San AntonioSan Antonio, TX, USA; Research Service, South Texas Veterans Health Care SystemSan Antonio, TX, USA; Neuroimaging Laboratory, Shenzhen University School of MedicineShenzhen, Guangdong, China.

Funding

Meta-anaylsis in human brain mappingR01MH074457 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FOX, PETER THORNTON · 2006 to 2024
$10.5M
SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
Genetics of Brain Structure and FunctionR01MH078111 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2006 to 2014
$4.5M
NIBIB NIH HHS R01 EB015611NIMH NIH HHS R01 MH074457NIMH NIH HHS R01 MH078111
6 · The paper itself

Abstract

The default mode network (DMN) is a set of regions that is tonically engaged during the resting state and exhibits task-related deactivation that is readily reproducible across a wide range of paradigms and modalities. The DMN has been implicated in numerous disorders of cognition and, in particular, in disorders exhibiting age-related cognitive decline. Despite these observations, investigations of the DMN in normal aging are scant. Here, we used blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) acquired during rest to investigate age-related changes in functional connectivity of the DMN in 120 healthy normal volunteers comprising six, 20-subject, decade cohorts (from 20-29 to 70-79). Structural equation modeling (SEM) was used to assess age-related changes in inter-regional connectivity within the DMN. SEM was applied both using a previously published, meta-analytically derived, node-and-edge model, and using exploratory modeling searching for connections that optimized model fit improvement. Although the two models were highly similar (only 3 of 13 paths differed), the sample demonstrated significantly better fit with the exploratory model. For this reason, the exploratory model was used to assess age-related changes across the decade cohorts. Progressive, highly significant changes in path weights were found in 8 (of 13) paths: four rising, and four falling (most changes were significant by the third or fourth decade). In all cases, rising paths and falling paths projected in pairs onto the same nodes, suggesting compensatory increases associated with age-related decreases. This study demonstrates that age-related changes in DMN physiology (inter-regional connectivity) are bidirectional, progressive, of early onset and part of normal aging.

Indexed as

default mode network (DMN)functional connectivity (FC)meta-analytic connectivity modelingnormal agingstructural equation modeling (SEM)

Identifiers

PMID27378909
PMCPMC4905965

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.