Evidence map›Paper›PMID 26648838›Full record

ArticleFrontiers in neuroscience2015

Altered Hippocampal Neurogenesis and Amygdalar Neuronal Activity in Adult Mice with Repeated Experience of Aggression.

Dmitry A Smagin, June-Hee Park, Tatyana V Michurina, Natalia Peunova, Zachary Glass, Kasim Sayed, Natalya P Bondar, Irina N Kovalenko, Natalia N Kudryavtseva, Grigori Enikolopov

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  16. Genetics of Aggression in Alzheimer's Disease (AD).Frontiers in aging neuroscience · 2017
    Article
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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

10 authors.

Dmitry A SmaginInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences Novosibirsk, Russia ; Department of Nano-, Bio-, Information Technology and Cognitive Science, Moscow Institute of Physics and Technology Moscow, Russia ; Cold Spring Harbor Laboratory, Cold Spring Harbor NY, USA.
June-Hee ParkCold Spring Harbor Laboratory, Cold Spring Harbor NY, USA.
Tatyana V MichurinaDepartment of Nano-, Bio-, Information Technology and Cognitive Science, Moscow Institute of Physics and Technology Moscow, Russia ; Cold Spring Harbor Laboratory, Cold Spring Harbor NY, USA ; Department of Anesthesiology, Stony Brook School of Medicine Stony Brook, NY, USA ; Center for Developmental Genetics, Stony Brook University Stony Brook, NY, USA.
Natalia PeunovaCold Spring Harbor Laboratory, Cold Spring Harbor NY, USA ; Department of Anesthesiology, Stony Brook School of Medicine Stony Brook, NY, USA ; Center for Developmental Genetics, Stony Brook University Stony Brook, NY, USA.
Zachary GlassCold Spring Harbor Laboratory, Cold Spring Harbor NY, USA.
Kasim SayedCold Spring Harbor Laboratory, Cold Spring Harbor NY, USA.
Natalya P BondarInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences Novosibirsk, Russia.
Irina N KovalenkoInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences Novosibirsk, Russia.
Natalia N KudryavtsevaInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences Novosibirsk, Russia.
Grigori EnikolopovDepartment of Nano-, Bio-, Information Technology and Cognitive Science, Moscow Institute of Physics and Technology Moscow, Russia ; Cold Spring Harbor Laboratory, Cold Spring Harbor NY, USA ; Department of Anesthesiology, Stony Brook School of Medicine Stony Brook, NY, USA ; Center for Developmental Genetics, Stony Brook University Stony Brook, NY, USA.

Funding

Neural stem cells in the aging brainR01AG040209 · NIA · STATE UNIVERSITY NEW YORK STONY BROOK · PI ENIKOLOPOV, GRIGORI N · 2011 to 2015
$2.1M
CRCNS: Computational Model for Neural Stem Cell Divisions in the Adult BrainR01MH092928 · NIMH · COLD SPRING HARBOR LABORATORY · PI ENIKOLOPOV, GRIGORI N, KOULAKOV, ALEXEI · 2010 to 2013
$1.4M
NIA NIH HHS R01 AG040209NIMH NIH HHS R01 MH092928
6 · The paper itself

Abstract

Repeated experience of winning in a social conflict setting elevates levels of aggression and may lead to violent behavioral patterns. Here, we use a paradigm of repeated aggression and fighting deprivation to examine changes in behavior, neurogenesis, and neuronal activity in mice with positive fighting experience. We show that for males, repeated positive fighting experience induces persistent demonstration of aggression and stereotypic behaviors in daily agonistic interactions, enhances aggressive motivation, and elevates levels of anxiety. When winning males are deprived of opportunities to engage in further fights, they demonstrate increased levels of aggressiveness. Positive fighting experience results in increased levels of progenitor cell proliferation and production of young neurons in the hippocampus. This increase is not diminished after a fighting deprivation period. Furthermore, repeated winning experience decreases the number of activated (c-fos-positive) cells in the basolateral amygdala and increases the number of activated cells in the hippocampus; a subsequent no-fight period restores the number of c-fos-positive cells. Our results indicate that extended positive fighting experience in a social conflict heightens aggression, increases proliferation of neuronal progenitors and production of young neurons in the hippocampus, and decreases neuronal activity in the amygdala; these changes can be modified by depriving the winners of the opportunity for further fights.

Indexed as

adult neurogenesisaggressionamygdalaanxietyautismc-fos-positive cellshippocampussocial conflict

Identifiers

PMID26648838
PMCPMC4664700

What OpenQuestion holds

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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.