Evidence map›Paper›PMID 25422965›Full record

ArticleDevelopment and psychopathology2014

Atypical patterns of respiratory sinus arrhythmia index an endophenotype for depression.

Ilya Yaroslavsky, Jonathan Rottenberg, Maria Kovacs

Abstract read
In one paragraph

Article in Development and psychopathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% of its field
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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Neurophysiological Markers of Regulation Success in Everyday Life in Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Autonomic complexity dynamically indexes affect regulation in everyday life.Journal of psychopathology and clinical science · 2023
    Article
  10. Article
  11. Article
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  13. Review
  14. Article
  15. Associations of depression severity with heart rate and heart rate variability in young adults across normative and clinical populations.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2019
    Article
  16. Article
  17. Article
  18. Article
  19. Childhood adversity predicts reduced physiological flexibility during the processing of negative affect among adolescents with major depression histories.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2017
    Article
  20. Article
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

3 authors at 3 institutions in 1 country.

Ilya YaroslavskyCleveland State University.
Jonathan RottenbergUniversity of South Florida.
Maria KovacsUniversity of Pittsburgh School of Medicine.
Cleveland State University · USUniversity of Pittsburgh · USUniversity of South Florida · US

Funding

SEARCH FOR GENETIC FACTORS IN CHILDHOOD ONSET DEPRESSIONP01MH056193 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KENNEDY, JAMES · 1997 to 2006
$20.3M
CLINICAL RESEARCH TRAINING IN CHILD PSYCHIATRYT32MH018951 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TINA R GOLDSTEIN · 1990 to 2026
$9.7M
Biobehavioral Inflexibility and Risk for Juvenile-Onset DepressionR01MH084938 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KOVACS, MARIA · 2009 to 2024
$7.4M
Psychiatric outcomes of children at high- and low-risk for depression: follow upR01MH085722 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KOVACS, MARIA · 2010 to 2014
$3.3M
NIMH NIH HHS MH018951NIMH NIH HHS MH056193NIMH NIH HHS MH084938NIMH NIH HHS MH085722NIMH NIH HHS P01 MH056193NIMH NIH HHS R01 MH084938NIMH NIH HHS R01 MH085722NIMH NIH HHS T32 MH018951
6 · The paper itself

Abstract

Can atypical patterns of parasympathetic nervous system activity serve as endophenotypes for depression? Using respiratory sinus arrhythmia (RSA) as an index of parasympathetic nervous system function, we examined this question in two studies: one involving mothers with and without depression histories and their offspring (at high and low risk for depression, respectively), and a further study of adolescent sibling pairs concordant and discordant for major depression. In both studies, subjects were exposed to sad mood induction; subjects' RSA was monitored during rest periods and in response to the mood induction. We used Gottesman and Gould's (2003) criteria for an endophenotype and a priori defined "atypical" and "normative" RSA patterns (combinations of resting RSA and RSA reactivity). We found that atypical RSA patterns (a) predicted current depressive episodes and remission status among women with histories of juvenile onset depression and healthy controls, (b) predicted longitudinal trajectories of depressive symptoms among high- and low-risk young offspring, (c) were concordant across mothers and their juvenile offspring, (d) were more prevalent among never-depressed youth at high risk for depression than their low-risk peers, and (e) were more concordant across adolescent sibling pairs in which both versus only one had a history of major depression. Thus, the results support atypical RSA patterns as an endophenotype for depression. Possible mechanisms by which RSA patterns increase depression risk and their genetic contributors are discussed.

Indexed as

EndophenotypesAdolescentAdultChildFemaleHumansMajor Depressive DisorderMaleMothersParasympathetic Nervous SystemRespiratory Sinus ArrhythmiaRiskSiblings

Identifiers

PMID25422965
PMCPMC4320967
OpenAlexW2016599770

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.