Evidence map›Paper›PMID 28926752›Full record

ArticleBrain and cognition2017

Response bias and response monitoring: Evidence from healthy older adults and patients with mild Alzheimer's disease.

Rebecca G Deason, Michelle J Tat, Sean Flannery, Prabhakar S Mithal, Erin P Hussey, Eileen T Crehan, Brandon A Ally, Andrew E Budson

Abstract read
In one paragraph

Article in Brain and cognition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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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.

Rebecca G DeasonDepartment of Psychology, Texas State University, San Marcos, TX, United States; Center for Translational Cognitive Neuroscience, VA Boston Healthcare System, Boston, MA, United States; Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, United States. Electronic address: rdeason@txstate.edu.
Michelle J TatCenter for Translational Cognitive Neuroscience, VA Boston Healthcare System, Boston, MA, United States; Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, United States.
Sean FlanneryCenter for Translational Cognitive Neuroscience, VA Boston Healthcare System, Boston, MA, United States; Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, United States.
Prabhakar S MithalCenter for Translational Cognitive Neuroscience, VA Boston Healthcare System, Boston, MA, United States; Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, United States.
Erin P HusseyCenter for Translational Cognitive Neuroscience, VA Boston Healthcare System, Boston, MA, United States; Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, United States.
Eileen T CrehanCenter for Translational Cognitive Neuroscience, VA Boston Healthcare System, Boston, MA, United States; Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, United States.
Brandon A AllyDepartment of Neurological Surgery, University of Louisville, Louisville, KY, United States.
Andrew E BudsonCenter for Translational Cognitive Neuroscience, VA Boston Healthcare System, Boston, MA, United States; Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA, United States.

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
Memory in Alzheimer's disease and mild cognitive impairmentI01CX000736 · VA · VA BOSTON HEALTH CARE SYSTEM · PI BUDSON, ANDREW · 2014 to 2017
–
CSRD VA I01 CX000736NIA NIH HHS K23 AG031925NIA NIH HHS P30 AG013846NIA NIH HHS R01 AG025815
6 · The paper itself

Abstract

Patients with Alzheimer's disease (AD) often exhibit an abnormally liberal response bias in recognition memory tests, responding "old" more frequently than "new." Investigations have shown patients can to shift to a more conservative response bias when given instructions. We examined if patients with mild AD could alter their response patterns when the ratio of old items is manipulated without explicit instruction. Healthy older adults and AD patients studied lists of words and then were tested in three old/new ratio conditions (30%, 50%, or 70% old items). A subset of participants provided estimates of how many old and new items they saw in the memory test. We demonstrated that both groups were able to change their response patterns without the aid of explicit instructions. Importantly, AD patients were more likely to estimate seeing greater numbers of old than new items, whereas the reverse was observed for older adults. Elevated estimates of old items in AD patients suggest their liberal response bias may be attributed to their reliance on familiarity. We conclude that the liberal response bias observed in AD patients is attributable to their believing that more of the test items are old and not due to impaired meta-memorial monitoring abilities.

Indexed as

AttentionMemory, Short-TermRecognition, PsychologyVerbal LearningAdultAgedAged, 80 and overAlzheimer DiseaseBiasFemaleHumansMaleNeuropsychological TestsReference ValuesAlzheimer’s diseaseMonitoringRecognition memoryResponse bias

Identifiers

PMID28926752
PMCPMC5798457

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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.