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Global hippocampal atrophy in major depressive disorder: a meta-analysis of magnetic resonance imaging studies

Overview of attention for article published in Trends in Psychiatry and Psychotherapy, December 2018
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Title
Global hippocampal atrophy in major depressive disorder: a meta-analysis of magnetic resonance imaging studies
Published in
Trends in Psychiatry and Psychotherapy, December 2018
DOI 10.1590/2237-6089-2017-0130
Pubmed ID
Authors

Marcelo Antônio Oliveira Santos, Lucas Soares Bezerra, Ana Rita Marinho Ribeiro Carvalho, Alessandra Mertens Brainer-Lima

Abstract

Major depressive disorder (MDD), an incapacitating mental disorder, is characterized by episodes of at least 2 weeks of apparent changes in mood, cognition, and neurovegetative functions. Many neuroimaging studies using magnetic resonance imaging (MRI) have examined morphometric changes in patients with MDD, but the results are not conclusive. This study aims to review the literature and perform a meta-analysis on hippocampal volume (HcV) in patients with MDD. Studies on HcV in patients with MDD diagnosis were identified from major databases (MEDLINE, EMBASE, The Cochrane Library, Scopus, PsycINFO, and SciELO) using the search terms depression, major depressive disorder, MDD, unipolar, magnetic resonance imaging, MRI, and hippocampus. A meta-analysis of 29 studies fulfilling specific criteria was performed. The sample included 1327 patients and 1004 healthy participants. The studies were highly heterogeneous with respect to age, sex, age of onset, and average illness duration. However, the pooled effect size of depression was significant in both hippocampi. MDD was associated with right (-0.43; 95% confidence interval [95%CI] -0.66 to -0.21) and left (-0.40; 95%CI -0.66 to -0.15) hippocampal atrophy. MDD seems to be associated with global HcV atrophy. Larger longitudinal follow-up studies designed to analyze the influence of sociodemographic variables on this relationship are required to yield better evidence about this topic.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 14%
Student > Ph. D. Student 9 14%
Researcher 8 13%
Student > Doctoral Student 7 11%
Student > Master 7 11%
Other 6 9%
Unknown 18 28%
Readers by discipline Count As %
Neuroscience 11 17%
Medicine and Dentistry 10 16%
Biochemistry, Genetics and Molecular Biology 4 6%
Psychology 4 6%
Agricultural and Biological Sciences 3 5%
Other 10 16%
Unknown 22 34%

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 21 September 2018.
All research outputs
#8,871,426
of 14,158,567 outputs
Outputs from Trends in Psychiatry and Psychotherapy
#33
of 87 outputs
Outputs of similar age
#164,242
of 273,657 outputs
Outputs of similar age from Trends in Psychiatry and Psychotherapy
#3
of 3 outputs
Altmetric has tracked 14,158,567 research outputs across all sources so far. This one is in the 24th percentile – i.e., 24% of other outputs scored the same or lower than it.
So far Altmetric has tracked 87 research outputs from this source. They receive a mean Attention Score of 2.0. This one has gotten more attention than average, scoring higher than 50% of its peers.
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We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.