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BAIAP2 Is Related to Emotional Modulation of Human Memory Strength

Overview of attention for article published in PLOS ONE, January 2014
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Title
BAIAP2 Is Related to Emotional Modulation of Human Memory Strength
Published in
PLOS ONE, January 2014
DOI 10.1371/journal.pone.0083707
Pubmed ID
Authors

Gediminas Luksys, Sandra Ackermann, David Coynel, Matthias Fastenrath, Leo Gschwind, Angela Heck, Bjoern Rasch, Klara Spalek, Christian Vogler, Andreas Papassotiropoulos, Dominique de Quervain

Abstract

Memory performance is the result of many distinct mental processes, such as memory encoding, forgetting, and modulation of memory strength by emotional arousal. These processes, which are subserved by partly distinct molecular profiles, are not always amenable to direct observation. Therefore, computational models can be used to make inferences about specific mental processes and to study their genetic underpinnings. Here we combined a computational model-based analysis of memory-related processes with high density genetic information derived from a genome-wide study in healthy young adults. After identifying the best-fitting model for a verbal memory task and estimating the best-fitting individual cognitive parameters, we found a common variant in the gene encoding the brain-specific angiogenesis inhibitor 1-associated protein 2 (BAIAP2) that was related to the model parameter reflecting modulation of verbal memory strength by negative valence. We also observed an association between the same genetic variant and a similar emotional modulation phenotype in a different population performing a picture memory task. Furthermore, using functional neuroimaging we found robust genotype-dependent differences in activity of the parahippocampal cortex that were specifically related to successful memory encoding of negative versus neutral information. Finally, we analyzed cortical gene expression data of 193 deceased subjects and detected significant BAIAP2 genotype-dependent differences in BAIAP2 mRNA levels. Our findings suggest that model-based dissociation of specific cognitive parameters can improve the understanding of genetic underpinnings of human learning and memory.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 3 6%
United Kingdom 1 2%
Germany 1 2%
United States 1 2%
Unknown 48 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 30%
Researcher 13 24%
Student > Master 5 9%
Student > Doctoral Student 4 7%
Student > Bachelor 3 6%
Other 6 11%
Unknown 7 13%
Readers by discipline Count As %
Psychology 14 26%
Agricultural and Biological Sciences 9 17%
Neuroscience 9 17%
Biochemistry, Genetics and Molecular Biology 7 13%
Medicine and Dentistry 3 6%
Other 4 7%
Unknown 8 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 January 2014.
All research outputs
#18,359,382
of 22,738,543 outputs
Outputs from PLOS ONE
#154,310
of 194,081 outputs
Outputs of similar age
#229,301
of 305,194 outputs
Outputs of similar age from PLOS ONE
#4,066
of 5,433 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 5,433 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.