Evidence map›Paper›PMID 31476764›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2019

Accelerated cortical thinning within structural brain networks is associated with irritability in youth.

Robert J Jirsaraie, Antonia N Kaczkurkin, Sage Rush, Kayla Piiwia, Azeez Adebimpe, Danielle S Bassett, Josiane Bourque, Monica E Calkins, Matthew Cieslak, Rastko Ciric and 13 more

Abstract read
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Concurrent and longitudinal neurostructural correlates of irritability in children.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article
  4. Article
  5. Review
  6. Examining the association between posttraumatic stress disorder and disruptions in cortical networks identified using data-driven methods.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Mobile footprinting: linking individual distinctiveness in mobility patterns to mood, sleep, and brain functional connectivity.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Morphological integration of the human brain across adolescence and adulthood.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  18. Article
  19. Structural brain networks in remitted psychotic depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Article
  20. Longitudinal Development of Brain Iron Is Linked to Cognition in Youth.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    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

23 authors.

Robert J JirsaraieDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Antonia N KaczkurkinDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Sage RushDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Kayla PiiwiaDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Azeez AdebimpeDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID http://orcid.org/0000-0001-9049-0135
Danielle S BassettDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Josiane BourqueDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Monica E CalkinsDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Matthew CieslakDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Rastko CiricDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Philip A CookDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Diego DavilaDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Mark A ElliottDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Ellen LeibenluftSection on Mood Dysregulation and Neuroscience, National Institute of Mental Health (NIMH), 9000 Rockville Pike, Bethesda, MD, 20892, USA.
Kristin MurthaDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
David R RoalfDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Adon F G RosenDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID http://orcid.org/0000-0002-8506-5561
Kosha RuparelDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Russell T ShinoharaDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Aristeidis SotirasDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Daniel H WolfDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Christos DavatzikosDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Theodore D SatterthwaiteDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA. sattertt@upenn.edu.ORCID http://orcid.org/0000-0001-7072-9399

Funding

Longitudinal Mapping of Network Development Underlying Executive Dysfunction in AdolescenceR01MH113550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Danielle Smith Bassett, Theodore Satterthwaite · 2018 to 2026
$6.9M
Personalized Functional Network Modeling to Characterize and Predict Psychopathology in YouthR01EB022573 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Yong Fan, Theodore Satterthwaite · 2016 to 2026
$6.0M
Inter-modal Coupling Image AnalyticsR01MH112847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Theodore Satterthwaite, Russell Takeshi Shinohara · 2017 to 2026
$5.9M
Adolescent Neurodevelopment and Impaired Intrinsic Motivation in Psychosis RiskR01MH113565 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI WOLF, DANIEL H · 2018 to 2022
$2.9M
Mapping Heterogeneity of Neuroanatomical Imaging Signatures of Psychosis via Pattern AnalysisR01MH112070 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2017 to 2020
$2.7M
Longitudinal multi-modal neuroimaging of irritability in youthR01MH107703 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SATTERTHWAITE, THEODORE · 2015 to 2018
$2.6M
Virtual Resection to Treat EpilepsyR01NS099348 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH, LITT, BRIAN · 2016 to 2019
$2.3M
Biomedical Image Computing and Informatics ClusterS10OD023495 · OD · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2017 to 2017
$1.9M
Delineating neurobiological heterogeneity in internalizing symptoms using machine learning and deep phenotypingR00MH117274 · NIMH · VANDERBILT UNIVERSITY · PI KACZKURKIN, ANTONIA · 2019 to 2021
$729k
TISSUE CHARACTERIZATION WITH SLAB SCAN DIFFUSIION MRIR01EB002471 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI MAIER, STEPHAN E · 2003 to 2003
$297k
Delineating neurobiological heterogeneity in internalizing symptoms using machine learning and deep phenotypingK99MH117274 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI KACZKURKIN, ANTONIA · 2018 to 2019
$122k
NIBIB NIH HHS R01 EB002471NIBIB NIH HHS R01 EB022573NIH HHS S10 OD023495NIMH NIH HHS K99 MH117274NIMH NIH HHS R00 MH117274NIMH NIH HHS R01 MH107703NIMH NIH HHS R01 MH112070NIMH NIH HHS R01 MH112847NIMH NIH HHS R01 MH113550NIMH NIH HHS R01 MH113565NINDS NIH HHS R01 NS099348
6 · The paper itself

Abstract

Irritability is an important dimension of psychopathology that spans multiple clinical diagnostic categories, yet its relationship to patterns of brain development remains sparsely explored. Here, we examined how transdiagnostic symptoms of irritability relate to the development of structural brain networks. All participants (n = 137, 83 females) completed structural brain imaging with 3 Tesla MRI at two timepoints (mean age at follow-up: 21.1 years, mean inter-scan interval: 5.2 years). Irritability at follow-up was assessed using the Affective Reactivity Index, and cortical thickness was quantified using Advanced Normalization Tools software. Structural covariance networks were delineated using non-negative matrix factorization, a multivariate analysis technique. Both cross-sectional and longitudinal associations with irritability at follow-up were evaluated using generalized additive models with penalized splines. The False Discovery Rate (q < 0.05) was used to correct for multiple comparisons. Cross-sectional analysis of follow-up data revealed that 11 of the 24 covariance networks were associated with irritability, with higher levels of irritability being associated with thinner cortex. Longitudinal analyses further revealed that accelerated cortical thinning within nine networks was related to irritability at follow-up. Effects were particularly prominent in brain regions implicated in emotion regulation, including the orbitofrontal, lateral temporal, and medial temporal cortex. Collectively, these findings suggest that irritability is associated with widespread reductions in cortical thickness and accelerated cortical thinning, particularly within the frontal and temporal cortex. Aberrant structural maturation of regions important for emotional regulation may in part underlie symptoms of irritability.

Indexed as

AdolescentAdultBrainCerebral CortexChildCross-Sectional StudiesFemaleHumansIrritable MoodLongitudinal StudiesMagnetic Resonance ImagingMaleNeural PathwaysYoung Adult

Identifiers

PMID31476764
PMCPMC6897907

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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.