Evidence map›Paper›PMID 33007777›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2021

Neurocognitive and functional heterogeneity in depressed youth.

Erica B Baller, Antonia N Kaczkurkin, Aristeidis Sotiras, Azeez Adebimpe, Danielle S Bassett, Monica E Calkins, Ganesh B Chand, Zaixu Cui, Raquel E Gur, Ruben C Gur and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Review
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  13. Distinct neurocognitive profiles and clinical phenotypes associated with copy number variation at the 22q11.2 locus.Autism research : official journal of the International Society for Autism Research · 2023
    Article
  14. Mapping the relationship of white matter lesions to depression in multiple sclerosis.medRxiv : the preprint server for health sciences · 2023
    Article
  15. 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

18 authors at 5 institutions in 1 country.

Erica B BallerDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID http://orcid.org/0000-0002-7987-3773
Antonia N KaczkurkinDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID http://orcid.org/0000-0002-0943-3094
Aristeidis SotirasDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID http://orcid.org/0000-0003-0795-8820
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.ORCID http://orcid.org/0000-0002-6183-4493
Monica E CalkinsDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Ganesh B ChandDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Zaixu CuiDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID http://orcid.org/0000-0003-4385-8106
Raquel E GurDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Ruben C GurDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Kristin A LinnDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID http://orcid.org/0000-0001-8463-8084
Tyler M MooreDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID http://orcid.org/0000-0002-1384-0151
David R RoalfDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Erdem VarolDepartment 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.
Cedric H XiaDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Christos DavatzikosDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Theodore D SatterthwaiteDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA. sattertt@pennmedicine.upenn.edu.ORCID http://orcid.org/0000-0001-7072-9399
University of Pennsylvania · USChildren's Hospital of Philadelphia · USSanta Fe Institute · USVanderbilt University · USWashington University in St. Louis · US

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
SCHIZOPHRENIA: A NEUROPSYCHIATRIC PERSPECTIVET32MH019112 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E · 1990 to 2024
$6.2M
Inter-modal Coupling Image AnalyticsR01MH112847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Theodore Satterthwaite, Russell Takeshi Shinohara · 2017 to 2026
$5.9M
Ultra-high field GluCEST MRI and MRS in youth at risk for psychosisR01MH120174 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ROALF, DAVID R · 2020 to 2024
$3.8M
Olfactory and facial markers of developmental risk for psychosis in 22q11 deletion syndromeR01MH119185 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ROALF, DAVID R · 2019 to 2024
$3.5M
Reproducible imaging-based brain growth charts for psychiatryR01MH120482 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI MILHAM, MICHAEL PETER, SATTERTHWAITE, THEODORE · 2019 to 2023
$3.5M
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
Training in Sex and Gender Differences Research to Improve Women's HealthK12HD085848 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI OQUENDO, MARIA A · 2015 to 2019
$2.2M
Biomedical Image Computing and Informatics ClusterS10OD023495 · OD · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2017 to 2017
$1.9M
NICHD NIH HHS K12 HD085848NIH HHS S10 OD023495NIMH NIH HHS K99 MH117274NIMH NIH HHS R00 MH117274NIMH NIH HHS R01 MH107235NIMH NIH HHS R01 MH107703NIMH NIH HHS R01 MH112070NIMH NIH HHS R01 MH112847NIMH NIH HHS R01 MH113550NIMH NIH HHS R01 MH113565NIMH NIH HHS R01 MH119185NIMH NIH HHS R01 MH120174NIMH NIH HHS R01 MH120482NIMH NIH HHS T32 MH019112NINDS NIH HHS R01 NS099348
6 · The paper itself

Abstract

Depression is a common psychiatric illness that often begins in youth, and is sometimes associated with cognitive deficits. However, there is significant variability in cognitive dysfunction, likely reflecting biological heterogeneity. We sought to identify neurocognitive subtypes and their neurofunctional signatures in a large cross-sectional sample of depressed youth. Participants were drawn from the Philadelphia Neurodevelopmental Cohort, including 712 youth with a lifetime history of a major depressive episode and 712 typically developing (TD) youth matched on age and sex. A subset (MDD n = 368, TD n = 200) also completed neuroimaging. Cognition was assessed with the Penn Computerized Neurocognitive Battery. A recently developed semi-supervised machine learning algorithm was used to delineate neurocognitive subtypes. Subtypes were evaluated for differences in both clinical psychopathology and brain activation during an n-back working memory fMRI task. We identified three neurocognitive subtypes in the depressed group. Subtype 1 was high-performing (high accuracy, moderate speed), Subtype 2 was cognitively impaired (low accuracy, slow speed), and Subtype 3 was impulsive (low accuracy, fast speed). While subtypes did not differ in clinical psychopathology, they diverged in their activation profiles in regions critical for executive function, which mirrored differences in cognition. Taken together, these data suggest disparate mechanisms of cognitive vulnerability and resilience in depressed youth, which may inform the identification of biomarkers for prognosis and treatment response.

Indexed as

Major Depressive DisorderAdolescentCognitionCross-Sectional StudiesExecutive FunctionHumansNeuropsychological Tests

Identifiers

PMID33007777
PMCPMC8027806
OpenAlexW3089615692

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.