Evidence map›Paper›PMID 25660207›Full record

ArticleNeuropsychologia2015

The impact of executive capacity and age on mechanisms underlying multidimensional feature selection.

Katherine K Mott, Brittany R Alperin, Anne M Fox, Phillip J Holcomb, Kirk R Daffner

Abstract read
In one paragraph

Article in Neuropsychologia, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Katherine K MottCenter for Brain/Mind Medicine, Division of Cognitive and Behavioral Neurology, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115, USA. Electronic address: kmott@partners.org.
Brittany R AlperinCenter for Brain/Mind Medicine, Division of Cognitive and Behavioral Neurology, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115, USA. Electronic address: balperin@partners.org.
Anne M FoxCenter for Brain/Mind Medicine, Division of Cognitive and Behavioral Neurology, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115, USA. Electronic address: afox4@partners.org.
Phillip J HolcombDepartment of Psychology, Tufts University, 490 Boston Avenue, Medford, MA 02155, USA. Electronic address: pholcomb@tufts.edu.
Kirk R DaffnerCenter for Brain/Mind Medicine, Division of Cognitive and Behavioral Neurology, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115, USA. Electronic address: kdaffner@partners.org.

Funding

ERP Investigations of Novelty Processing in Different Patterns of Cognitive AgingR01AG017935 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI DAFFNER, KIRK R · 2002 to 2012
$4.5M
NIA NIH HHS R01 AG017935NIA NIH HHS R01AG017935
6 · The paper itself

Abstract

This study examined the role of executive capacity (EC) and aging in multidimensional feature selection. ERPs were recorded from healthy young and old adults of either high or average EC based on neuropsychological testing. Participants completed a color selective attention task in which they responded to target letter-forms in a specified color (attend condition) while ignoring letter-forms in a different color (ignore condition). Two selection negativity (SN) components were computed: the SN(Color) (attend-ignore), indexing early color selection, and the SN(Letter) (targets-standards), indexing early letter-form selection. High EC subjects exhibited self-terminating feature selection; the processing of one feature type was reduced if information from the other feature type suggested the stimulus did not contain the task-relevant feature. In contrast, average EC subjects exhaustively selected all features of a stimulus. The self-terminating approach was associated with better task accuracy. Higher EC was also linked to stronger early selection of target letter-forms, but did not modulate the seemingly less demanding task of color selection. Mechanisms utilized for multidimensional feature selection appear to be consistent across the lifespan, although there was age-related slowing of processing speed for early selection of letter features. We conclude that EC is a critical determinant of how multidimensional feature processing is carried out.

Indexed as

AgingAdolescentAdultAgedAnalysis of VarianceAttentionElectroencephalographyEvoked Potentials, VisualExecutive FunctionFemaleHumansJudgmentMalePhotic StimulationPsychomotor PerformanceReaction TimeAgingERPsExecutive controlMultidimensional feature selectionSelection negativitySelective attention

Identifiers

PMID25660207
PMCPMC4402256

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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.