Evidence map›Paper›PMID 27993231›Full record

ArticleJournal of the American Academy of Child and Adolescent Psychiatry2017

Neural Markers in Pediatric Bipolar Disorder and Familial Risk for Bipolar Disorder.

Jillian Lee Wiggins, Melissa A Brotman, Nancy E Adleman, Pilyoung Kim, Caroline G Wambach, Richard C Reynolds, Gang Chen, Kenneth Towbin, Daniel S Pine, Ellen Leibenluft

2 registry-linked trialsOpen access · greenAbstract read
In one paragraph

Article in Journal of the American Academy of Child and Adolescent Psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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.

NCT00006177 completednot on this map

The Phenomenology and Neurophysiology of Affective Dysregulation in Children and Adolescents With Bipolar Disorder

TypeobservationalSponsorNational Institute of Mental Health (NIMH)Ran2000Enrolled1,303ConditionsBipolar Disorder, Mood Disorders, Attention Deficit Hyerpactivity Disorder
NCT00025935 recruitingnot on this map

Characterization and Pathophysiology of Severe Mood and Behavioral Dysregulation in Children and Youth

TypeobservationalSponsorNational Institute of Mental Health (NIMH)Ran2002Enrolled2,350ConditionsMood DisorderArmsLithium
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Facial emotion recognition deficits in bipolar disorder: A systematic review and meta-analysis.European psychiatry : the journal of the Association of European Psychiatrists · 2026
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  16. Hippocampal subfield morphology in monozygotic twins discordant for affective disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021
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  19. Structural Brain Alterations in Youth With Psychosis and Bipolar Spectrum Symptoms.Journal of the American Academy of Child and Adolescent Psychiatry · 2019
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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

10 authors at 1 institution in 2 countries.

Jillian Lee WigginsEmotion and Development Branch, National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Bethesda, MD; San Diego State University and San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology. Electronic address: jillian.wiggins@sdsu.edu.
Melissa A BrotmanEmotion and Development Branch, National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Bethesda, MD.
Nancy E AdlemanEmotion and Development Branch, National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Bethesda, MD; Catholic University of America, Washington, DC.
Pilyoung KimEmotion and Development Branch, National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Bethesda, MD; University of Denver.
Caroline G WambachEmotion and Development Branch, National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Bethesda, MD.
Richard C ReynoldsScientific and Statistical Computing Core, NIMH/NIH.
Gang ChenScientific and Statistical Computing Core, NIMH/NIH.
Kenneth TowbinEmotion and Development Branch, National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Bethesda, MD.
Daniel S PineEmotion and Development Branch, National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Bethesda, MD.
Ellen LeibenluftEmotion and Development Branch, National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Bethesda, MD.
National Institutes of Health · US

Funding

The Pathophysiology and Treatment Of Children With Severe Mood DysregulationZIAMH002786 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI LEIBENLUFT, ELLEN · 2009 to 2023
$34.0M
The Phenomenology And Neurophysiology Of Juvenile Bipolar DisorderZIAMH002778 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI LEIBENLUFT, ELLEN · 2009 to 2017
$10.8M
The Phenomenology And Neurophysiology Of Juvenile Bipolar DisorderZ01MH002778 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI LEIBENLUFT, ELLEN · 2000 to 2008
$3.1M
Impact of Familiarity and Attachment on Visual Processing of FacesZ01MH002773 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI LEIBENLUFT, ELLEN · 1999 to 2002
–
Intramural NIH HHS Z01 MH002773Intramural NIH HHS Z01 MH002778Intramural NIH HHS ZIA MH002778
6 · The paper itself

Abstract

objectiveBipolar disorder (BD) is highly heritable. Neuroimaging studies comparing unaffected youth at high familial risk for BD (i.e., those with a first-degree relative with the disorder; termed "high-risk" [HR]) to "low-risk" (LR) youth (i.e., those without a first-degree relative with BD) and to patients with BD may help identify potential brain-based markers associated with risk (i.e., regions where HR+BD≠LR), resilience (HR≠BD+LR), or illness (BD≠HR+LR).

methodDuring functional magnetic resonance imaging (fMRI), 99 youths (i.e., adolescents and young adults) aged 9.8 to 24.8 years (36 BD, 22 HR, 41 LR) performed a task probing face emotion labeling, previously shown to be impaired behaviorally in youth with BD and HR youth.

resultsWe found three patterns of results. Candidate risk endophenotypes (i.e., where BD and HR shared deficits) included dysfunction in higher-order face processing regions (e.g., middle temporal gyrus, dorsolateral prefrontal cortex). Candidate resilience markers and disorder sequelae (where HR and BD, respectively, show unique alterations relative to the other two groups) included different patterns of neural responses across other regions mediating face processing (e.g., fusiform), executive function (e.g., inferior frontal gyrus), and social cognition (e.g., default network, superior temporal sulcus, temporo-parietal junction).

conclusionIf replicated in longitudinal studies and with additional populations, neural patterns suggesting risk endophenotypes could be used to identify individuals at risk for BD who may benefit from prevention measures. Moreover, information about risk and resilience markers could be used to develop novel treatments that recruit neural markers of resilience and attenuate neural patterns associated with risk. Clinical trial registration information-Studies of Brain Function and Course of Illness in Pediatric Bipolar Disorder and Child and Adolescent Bipolar Disorder Brain Imaging and Treatment Study; http://clinicaltrials.gov/; NCT00025935 and NCT00006177.

Indexed as

EndophenotypesSocial PerceptionAdolescentAdultBipolar DisorderCerebral CortexChildEmotionsFacial RecognitionFemaleGenetic Predisposition to DiseaseHumansMagnetic Resonance ImagingMaleRiskYoung Adultadolescencebipolarbrainendophenotyperisk

Identifiers

PMID27993231
PMCPMC9382574
OpenAlexW2547814535

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.