Evidence map›Paper›PMID 21775732›Full record

ArticleNeurology2011

Event-related potential markers of brain changes in preclinical familial Alzheimer disease.

Y T Quiroz, B A Ally, K Celone, J McKeever, A L Ruiz-Rizzo, F Lopera, C E Stern, A E Budson

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Neurology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03676881 (Longitudinal Validation of a Computerized Cognitive Battery), which is not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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.

NCT03676881 unknown statusnot on this mapstarted 2018, after this paper: background citation

Longitudinal Validation of a Computerized Cognitive Battery (Cognigram) in the Diagnosis of Mild Cognitive Impairment and Alzheimer's Disease

TypeobservationalSponsorBruyère Health Research Institute.Ran2018 to 2021Enrolled36ConditionsAlzheimer Disease, Dementia, Neuropathology, Mild Cognitive ImpairmentArmsComputerized cognitive battery: Cognigram (CG), The NeuroCatch™ Platform (NCP)
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Diagnostic utility of electrophysiological markers for early and differential diagnosis of Alzheimer's, Frontotemporal, and Lewy Body dementias: A systematic review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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  18. Preclinical Alzheimer's disease: Definition, natural history, and diagnostic criteria.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2016
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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 3 institutions in 2 countries.

Y T QuirozCenter for Memory and Brain, Psychology Department, Boston University, Boston, MA 02215, USA. yquiroz@bu.edu
B A Ally
K Celone
J McKeever
A L Ruiz-Rizzo
F Lopera
C E Stern
A E Budson
VA Boston Healthcare System · USBoston University · USColciencias · CO

Funding

Neuropathology CoreP30AG013846 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI KOWALL, NEIL W. · 1996 to 2020
$29.1M
Understanding False Recognition in Alzheimer's DiseaseR01AG025815 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI BUDSON, ANDREW · 2005 to 2009
$1.5M
Using Pictures to Understand Recognition Memory in Alzheimer's DiseaseK23AG031925 · NIA · VANDERBILT UNIVERSITY · PI ALLY, BRANDON A · 2008 to 2012
$675k
NIA NIH HHS K23 AG031925NIA NIH HHS P30 AG13846NIA NIH HHS R01 AG025815
6 · The paper itself

Abstract

objectivesEvent-related potentials (ERPs) can reflect differences in brain electrophysiology underlying cognitive functions in brain disorders such as dementia and mild cognitive impairment. To identify individuals at risk for Alzheimer disease (AD) we used high-density ERPs to examine brain physiology in young presymptomatic individuals (average age 34.2 years) who carry the E280A mutation in the presenilin-1 (PSEN1) gene and will go on to develop AD around the age of 45.

methodsTwenty-one subjects from a Colombian population with familial AD participated: 10 presymptomatic subjects positive for the PSEN1 mutation (carriers) and 11 siblings without the mutation (controls). Subjects performed a visual recognition memory test while 128-channel ERPs were recorded.

resultsDespite identical behavioral performance, PSEN1 mutation carriers showed less positivity in frontal regions and more positivity in occipital regions, compared to controls. These differences were more pronounced during the 200-300 msec period. Discriminant analysis at this time interval showed promising sensitivity (72.7%) and specificity (81.8%) of the ERP measures to predict the presence of AD pathology.

conclusionsPresymptomatic PSEN1 mutation carriers show changes in brain physiology that can be detected by high-density ERPs. The relative differences observed showing greater frontal positivity in controls and greater occipital positivity in carriers indicates that control subjects may use frontally mediated processes to distinguish between studied and unstudied visual items, whereas carriers appear to rely more upon perceptual details of the items to distinguish between them. These findings also demonstrate the potential usefulness of ERP brain correlates as preclinical markers of AD.

Indexed as

AdultAlzheimer DiseaseAnalysis of VarianceBrainDiscriminant AnalysisElectroencephalographyEvoked PotentialsFemaleHumansMaleMemory DisordersMutationNeuropsychological TestsPhotic StimulationPresenilin-1Statistics, NonparametricPresenilin-1PSEN1 protein, human

Identifiers

PMID21775732
PMCPMC3146305
OpenAlexW2135803915

What OpenQuestion holds

Textmetadata
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Registered trials

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.