Evidence map›Paper›PMID 24562737›Full record

ReviewNeuropsychology review2014

Functional brain connectivity using fMRI in aging and Alzheimer's disease.

Emily L Dennis, Paul M Thompson

Abstract readReview
In one paragraph

Review in Neuropsychology review, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 301 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
301citing papers in PubMed, 3 pooled it
15.5field-weighted citation impact, top 1% 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

301 citing papers in PubMed, 3 syntheses or guidelines pooled it, 577 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Article
  10. Article
  11. Review
  12. Genetically linked brain imaging markers of memory decline in aging and Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Quantifying the compressibility of the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

241 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

2 authors at 1 institution in 1 country.

Emily L DennisImaging Genetics Center, Institute for Neuroimaging Informatics, USC Keck School of Medicine, Los Angeles, CA, USA.
Paul M Thompson
UCLA Health · US

Funding

YALE CENTER FOR THE: LEARNING &ATTENTIONP41RR013642 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEARER, ELAINE L · 1998 to 2011
$21.9M
TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VAN HORN, JOHN DARRELL · 2012 to 2022
$14.1M
HARDI Mapping of Disease Effects on the BrainR01EB008432 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMPSON, PAUL M · 2009 to 2012
$2.6M
Training Grant in Neurobehavioral GeneticsT32MH073526 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEARDEN, CARRIE E, GESCHWIND, DANIEL H · 2006 to 2020
$2.4M
A Multidimensional Alzheimer's Disease Brain AtlasR01EB008281 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMPSON, PAUL M · 2007 to 2010
$1.4M
Computational Modeling of High-Field MR ImagesR01EB007813 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMPSON, PAUL M · 2007 to 2010
$1.3M
NCRR NIH HHS P41 RR013642NIBIB NIH HHS EB007813NIBIB NIH HHS EB008281NIBIB NIH HHS EB008432NIBIB NIH HHS P41 EB015922NIBIB NIH HHS R01 EB007813NIBIB NIH HHS R01 EB008281NIBIB NIH HHS R01 EB008432NIMH NIH HHS T32 MH073526NIMH NIH HHS T32 MH073526-06
6 · The paper itself

Abstract

Normal aging and Alzheimer's disease (AD) cause profound changes in the brain's structure and function. AD in particular is accompanied by widespread cortical neuronal loss, and loss of connections between brain systems. This degeneration of neural pathways disrupts the functional coherence of brain activation. Recent innovations in brain imaging have detected characteristic disruptions in functional networks. Here we review studies examining changes in functional connectivity, measured through fMRI (functional magnetic resonance imaging), starting with healthy aging and then Alzheimer's disease. We cover studies that employ the three primary methods to analyze functional connectivity--seed-based, ICA (independent components analysis), and graph theory. At the end we include a brief discussion of other methodologies, such as EEG (electroencephalography), MEG (magnetoencephalography), and PET (positron emission tomography). We also describe multi-modal studies that combine rsfMRI (resting state fMRI) with PET imaging, as well as studies examining the effects of medications. Overall, connectivity and network integrity appear to decrease in healthy aging, but this decrease is accelerated in AD, with specific systems hit hardest, such as the default mode network (DMN). Functional connectivity is a relatively new topic of research, but it holds great promise in revealing how brain network dynamics change across the lifespan and in disease.

Indexed as

Magnetic Resonance ImagingAgingAlzheimer DiseaseAmyloidApolipoprotein E4BrainBrain MappingCognitive DysfunctionHumansNeural PathwaysAmyloidApolipoprotein E4

Identifiers

PMID24562737
PMCPMC4109887
OpenAlexW1978408307

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.