Evidence map›Paper›PMID 37599531›Full record

ArticleJournal of Alzheimer's disease : JAD2023

FMRI Complexity Correlates with Tau-PET and Cognitive Decline in Late-Onset and Autosomal Dominant Alzheimer's Disease.

Kay Jann, Julia Boudreau, Daniel Albrecht, Steven Y Cen, Ryan P Cabeen, John M Ringman, Danny J J Wang, Alzheimer’s Disease Neuroimaging Initiative

Open access · bronzeAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Multistage Alignment and Fusion for Multimodal Multiclass Alzheimer's Disease Diagnosis.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

8 authors at 1 institution in 1 country.

Kay JannLaboratory of Functional MRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Julia BoudreauDepartment of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Daniel AlbrechtLaboratory of NeuroImaging (LONI), USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Steven Y CenDepartment of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Ryan P CabeenLaboratory of NeuroImaging (LONI), USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
John M RingmanDepartment of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Danny J J WangLaboratory of Functional MRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Alzheimer’s Disease Neuroimaging Initiative
University of Southern California · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
USCADRC Diversity Supplement PachicanoP30AG066530 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HELENA Chang CHUI, ARTHUR W TOGA · 2020 to 2026
$27.8M
Motor, Visual, and Olfactory Changes in Genetic Subtypes of Alzheimer’s DiseaseR01AG062007 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI RINGMAN, JOHN M · 2019 to 2023
$4.1M
The structural and functional connectome across Alzheimer's disease subtypesU01AG051218 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI RINGMAN, JOHN M · 2015 to 2018
$3.6M
Complexity of FMRI in Alzheimer's DiseaseR01AG066711 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JANN, KAY, WANG, DANNY JJ · 2020 to 2024
$3.3M
NIA NIH HHS P30 AG066530NIA NIH HHS R01 AG062007NIA NIH HHS R01 AG066711NIA NIH HHS U01 AG024904NIA NIH HHS U01 AG051218
6 · The paper itself

Abstract

backgroundNeurofibrillary tangle pathology detected with tau-PET correlates closely with neuronal injury and cognitive symptoms in Alzheimer's disease (AD). Complexity of rs-fMRI has been demonstrated to decrease with cognitive decline in AD.

objectiveWe hypothesize that the rs-fMRI complexity provides an index for tau-related neuronal injury and cognitive decline in the AD process.

methodsData was obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI3) and the Estudio de la Enfermedad de Alzheimer en Jalisciences (EEAJ) study. Associations between tau-PET and rs-fMRI complexity were calculated. Potential pathways relating complexity to cognitive function mediated through tau-PET were assessed by path analysis.

resultsWe found significant negative correlations between rs-fMRI complexity and tau-PET in medial temporal lobe of both cohorts, and associations of rs-fMRI complexity with cognitive scores were mediated through tau-PET.

conclusionThe association of rs-fMRI complexity with tau-PET and cognition, suggests that a reduction in complexity is indicative of tau-related neuropathology and cognitive decline in AD processes.

Indexed as

Alzheimer DiseaseCognitive DysfunctionArthrogryposisCognitionHumansMagnetic Resonance ImagingNeurofibrillary TanglesAlzheimer’s diseasecomplexitymulti scale entropyrs-fMRItau-PET

Identifiers

PMID37599531
PMCPMC10578217
OpenAlexW4385987161

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.