Evidence map›Paper›PMID 32440605›Full record

ArticleChronic stress (Thousand Oaks, Calif.)

Hippocampal Volume in Psychiatric Diagnoses: Should Psychiatry Biomarker Research Account for Comorbidities?

Savannah N Gosnell, Matthew J Meyer, Cassandra Jennings, Danna Ramirez, Jake Schmidt, John Oldham, Ramiro Salas

Abstract read
In one paragraph

Article in Chronic stress (Thousand Oaks, Calif.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
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  5. Review
  6. Article
  7. Reward Processing in Psychiatric Inpatients With Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023
    Article
  8. Imaging synaptic density in depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
    Review
  9. Article
  10. Article
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  12. Review
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  15. Review
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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

7 authors.

Savannah N GosnellMenninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA.
Matthew J MeyerSchool of Medicine, Baylor College of Medicine, Houston, TX, USA.
Cassandra JenningsRice University, Houston, TX, USA.
Danna RamirezDepartment of Psychology and Neuroscience, Baylor University, Waco, TX, USA.
Jake SchmidtEOG Resources-Data Science, Houston, TX, USA.
John OldhamMenninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA.
Ramiro SalasMenninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA.ORCID https://orcid.org/0000-0002-1105-566X

Funding

A Virtual World/Neurofeedback Real Time Functional MRI Approach to PTSD TreatmentI21RX002588 · VA · MICHAEL E DEBAKEY VA MEDICAL CENTER · PI SALAS, RAMIRO · 2018 to 2020
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RRD VA I21 RX002588
6 · The paper itself

Abstract

backgroundMany research papers claim that patients with specific psychiatric disorders (major depressive disorder, posttraumatic stress disorder, borderline personality disorder, alcohol use disorder, and others) have smaller hippocampi, but most of those reports compared patients to healthy controls. We hypothesized that if psychiatrically matched controls (psychiatric control, matched for demographics and psychiatric comorbidities) were used, much of the biomarker literature in psychiatric research would not replicate. We used hippocampus and amygdala volume only as examples, as these are very commonly replicated results in psychiatry biomarker research. We propose that psychiatry biomarker research could benefit from using psychiatric controls, as the use of healthy controls results in data that are not disorder-specific.

methodHippocampus/amygdala volumes were compared between major depressive disorder, sex-/age-/race-matched healthy control, and psychiatric control (N = 126/group). Similar comparisons were performed for posttraumatic stress disorder (N = 67), borderline personality disorder (N = 111), and alcohol use disorder (N = 136).

resultsMajor depressive disorder patients had smaller left (p = 8.79 × 10

conclusionWhen psychiatric controls were used, there was no difference in hippocampal or amygdalar volume between any of the diagnoses studied and controls. This strategy (keeping all possible relevant variables matched between experimental groups) has been used to advance science for hundreds of years, and we propose should also be used in biomarker psychiatry research.

Indexed as

alcohol use disorderamygdala volumeborderline personality disorderbrain morphometrycomorbidityhippocampus volumemajor depressive disorderposttraumatic stress disorderpsychiatry research

Identifiers

PMID32440605
PMCPMC7219869

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.