Evidence map›Paper›PMID 34776436›Full record

ArticleJournal of Alzheimer's disease : JAD2022

Selective Impairment of Long-Range Default Mode Network Functional Connectivity as a Biomarker for Preclinical Alzheimer's Disease in People with Down Syndrome.

Natalie D DiProspero, David B Keator, Michael Phelan, Theo G M van Erp, Eric Doran, David K Powell, Kathryn L Van Pelt, Frederick A Schmitt, Elizabeth Head, Ira T Lott and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 44% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Resistance and resilience to Alzheimer's disease in Down syndrome.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  3. 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

11 authors at 3 institutions in 1 country.

Natalie D DiProsperoDepartment of Neurobiology and Behavior, University of California, Irvine, CA, USA.
David B KeatorDepartment of Psychiatry and Human Behavior, University of California, Irvine, CA, USA.
Michael PhelanInstitute for Memory Impairments and Neurological Disorders, UC Irvine, CA, USA.
Theo G M van ErpDepartment of Pediatrics, University of California, Irvine Medical Center, Orange, CA, USA.
Eric DoranDepartment of Pediatrics, University of California, Irvine Medical Center, Orange, CA, USA.
David K PowellDepartment of Neuroscience, University of Kentucky Medical Center, Lexington, KY, USA.
Kathryn L Van PeltSanders-Brown Center on Aging, University of Kentucky Medical Center, Lexington, KY, USA.
Frederick A SchmittSanders-Brown Center on Aging, University of Kentucky Medical Center, Lexington, KY, USA.
Elizabeth HeadDepartment of Pathology and Laboratory Medicine, University of California, Irvine, CA, USA.
Ira T LottDepartment of Pediatrics, University of California, Irvine Medical Center, Orange, CA, USA.
Michael A YassaDepartment of Neurobiology and Behavior, University of California, Irvine, CA, USA.
University of California, Irvine · USUniversity of California, Irvine Medical Center · USUniversity of Kentucky · US

Funding

National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
Project 3: Biomarkers for DS Clinical TrialsU19AG068054 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHRISTIAN, BRADLEY T, HANDEN, BENJAMIN L · 2020 to 2025
$103.7M
The Alzheimer's Disease Research Center at the University of California, IrvineP30AG066519 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI Crystal M. Glover · 2020 to 2026
$27.9M
Biomarkers of Alzheimer's Disease in Adults with Down SyndromeU01AG051412 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LOTT, IRA T., SCHUPF, NICOLE · 2015 to 2019
$26.3M
University of Kentucky Alzheimer's Disease Research CenterP30AG072946 · NIA · UNIVERSITY OF KENTUCKY · PI LINDA J VAN ELDIK · 2021 to 2026
$23.5M
Neuroimaging biomarkers for cognitive decline in elderly with amyloid pathologyR01AG053555 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI Michael A Yassa · 2017 to 2026
$17.0M
Training in the Neurobiology of Aging and Alzheimers DiseaseT32AG000096 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI VIVEK SWARUP, Craig E Stark · 1985 to 2026
$9.6M
Aging of Frontal Structure and Function in Down Syndrome and DementiaR01HD064993 · NICHD · UNIVERSITY OF KENTUCKY · PI HEAD, ELIZABETH, SCHMITT, FREDERICK · 2009 to 2019
$5.1M
Predicting Cognitive Decline in Adults with Down SyndromeR01HD065160 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI LOTT, IRA T. · 2009 to 2013
$2.3M
NIA NIH HHS P30 AG066519NIA NIH HHS P30 AG072946NIA NIH HHS R01 AG053555NIA NIH HHS T32 AG000096NIA NIH HHS U01 AG051412NIA NIH HHS U19 AG068054NIA NIH HHS U24 AG021886NICHD NIH HHS R01 HD064993NICHD NIH HHS R01 HD065160
6 · The paper itself

Abstract

backgroundDown syndrome (DS) is associated with increased risk for Alzheimer's disease (AD). In neurotypical individuals, clinical AD is preceded by reduced resting state functional connectivity in the default mode network (DMN), but it is unknown whether changes in DMN connectivity predict clinical onset of AD in DS.

objectiveDoes lower DMN functional connectivity predict clinical onset of AD and cognitive decline in people with DS?

methodsResting state functional MRI (rsfMRI), longitudinal neuropsychological, and clinical assessment data were collected on 15 nondemented people with DS (mean age = 51.66 years, SD = 5.34 years, range = 42-59 years) over four years, during which 4 transitioned to dementia. Amyloid-β (Aβ) PET data were acquired on 13 of the 15 participants. Resting state fMRI, neuropsychological, and clinical assessment data were also acquired on an independent, slightly younger unimpaired sample of 14 nondemented people with DS (mean age = 44.63 years, SD = 7.99 years, range = 38-61 years).

resultsLower functional connectivity between long-range but not short-range DMN regions predicts AD diagnosis and cognitive decline in people with DS. Aβ accumulation in the inferior parietal cortex is associated with lower regional DMN functional connectivity.

conclusionReduction of long-range DMN connectivity is a potential biomarker for AD in people with DS that precedes and predicts clinical conversion.

Indexed as

Alzheimer DiseaseBiomarkersBrainCognitive DysfunctionDefault Mode NetworkDown SyndromeFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsPositron-Emission TomographyBiomarkersAlzheimer’s diseasebiomarkersdefault mode networkdementiaDown syndromefunctional connectivityresting state functional magnetic resonance imaging

Identifiers

PMID34776436
PMCPMC9017677
OpenAlexW3213360753

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.