Evidence map›Paper›PMID 23750129›Full record

ArticleFrontiers in behavioral neuroscience2013

A review of the neural and behavioral consequences for unitizing emotional and neutral information.

Brendan D Murray, Elizabeth A Kensinger

Abstract read
In one paragraph

Article in Frontiers in behavioral neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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.

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3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

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  4. Distortion of overlapping memories relates to arousal and anxiety.Cognitive, affective & behavioral neuroscience · 2025
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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

2 authors.

Brendan D MurrayDepartment of Psychology, Boston College Chestnut Hill, MA, USA.
Elizabeth A Kensinger

Funding

How Emotion Affects Memory for Detail: Behavioral and Neuroimaging InvestigationsR01MH080833 · NIMH · BOSTON COLLEGE · PI KENSINGER, ELIZABETH ANN · 2008 to 2016
$2.8M
NIMH NIH HHS R01 MH080833
6 · The paper itself

Abstract

A special type of association, called a "unitization," is formed when pieces of information are encoded as a single representation in memory (e.g., "shirt" and "blue" are encoded as a "blue shirt"; Graf and Schacter, 1989) and typically are later reactivated in memory as a single unit, allowing access to the features of multiple related stimuli at once (Bader et al., 2010; Diana et al., 2011). This review examines the neural processes supporting memory for unitizations and how the emotional content of the material may influence unitization. Although associative binding is typically reliant on hippocampal processes and supported by recollection, the first part of this review will present evidence to suggest that when two items are unitized into a single representation, memory for those bound items may be accomplished on the basis of familiarity and without reliance on the hippocampus. The second part of this review discusses how emotion may affect the processes that give rise to unitizations. Emotional information typically receives a mnemonic benefit over neutral information, but the literature is mixed on whether the presence of emotional information impedes or enhances the associative binding of neutral information (reviewed by Mather, 2007). It has been suggested that the way the emotional and neutral details are related together may be critical to whether the neutral details are enhanced or impeded (Mather, 2007; Mather and Sutherland, 2011). We focus on whether emotional arousal aids or inhibits the creation of a unitized representation, presenting preliminary data, and future directions to test empirically the effects of forming and retrieving emotional and neutral unitizations.

Indexed as

associative memoryemotionintegrationmedial temporal lobesunitization

Identifiers

PMID23750129
PMCPMC3664359

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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.