Evidence map›Paper›PMID 23735583›Full record

ArticleJournal of psychiatry & neuroscience : JPN2013

Altered affective, executive and sensorimotor resting state networks in patients with pediatric mania.

Minjie Wu, Lisa H Lu, Alessandra M Passarotti, Ezra Wegbreit, Jacklynn Fitzgerald, Mani N Pavuluri

RetractedOpen access · bronzeAbstract readRetracted Publication
In one paragraph

Article in Journal of psychiatry & neuroscience : JPN, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Contrasting variability patterns in the default mode and sensorimotor networks balance in bipolar depression and mania.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  6. Article
  7. Intrinsic Amygdala Functional Connectivity in Youth With Bipolar I Disorder.Journal of the American Academy of Child and Adolescent Psychiatry · 2015
    Article
  8. Article
  9. Article
  10. Article
  11. Developmental Resting State Functional Connectivity for Clinicians.Current behavioral neuroscience reports · 2014
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Minjie WuPediatric Brain Research and Intervention Center, Institute for Juvenile Research and Colbeth Clinic, Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA. mwu@psych.uic.edu
Lisa H Lu
Alessandra M Passarotti
Ezra Wegbreit
Jacklynn Fitzgerald
Mani N Pavuluri
Allen Institute for Brain Science · USRoosevelt University · USUniversity of Illinois Chicago · US

Funding

Affective Neuroscience of Pediatric Bipolar DisorderR01MH081019 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI PAVULURI, MANI N · 2009 to 2013
$3.1M
Developing Brain Function in Adolescent Bipolar DisorderR01MH085639 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI PAVULURI, MANI N · 2010 to 2013
$2.6M
Brain Mechanisms in Pediatric Bipolar Disorder and Attention Deficit HyperactivitRC1MH088462 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI PAVULURI, MANI N · 2009 to 2010
$983k
NIMH NIH HHS 1R01MH081019NIMH NIH HHS 1R01MH085639NIMH NIH HHS R01 MH081019NIMH NIH HHS R01 MH085639NIMH NIH HHS RC1 MH088462NIMH NIH HHS RC1MH088462
6 · The paper itself

Abstract

backgroundThe aim of the present study was to map the pathophysiology of resting state functional connectivity accompanying structural and functional abnormalities in children with bipolar disorder.

methodsChildren with bipolar disorder and demographically matched healthy controls underwent resting-state functional magnetic resonance imaging. A model-free independent component analysis was performed to identify intrinsically interconnected networks.

resultsWe included 34 children with bipolar disorder and 40 controls in our analysis. Three distinct resting state networks corresponding to affective, executive and sensorimotor functions emerged as being significantly different between the pediatric bipolar disorder (PBD) and control groups. All 3 networks showed hyperconnectivity in the PBD relative to the control group. Specifically, the connectivity of the dorsal anterior cingulate cortex (ACC) differentiated the PBD from the control group in both the affective and the executive networks. Exploratory analysis suggests that greater connectivity of the right amygdala within the affective network is associated with better executive function in children with bipolar disorder, but not in controls. LIMITATIONS: Unique clinical characteristics of the study sample allowed us to evaluate the pathophysiology of resting state connectivity at an early state of PBD, which led to the lack of generalizability in terms of comorbid disorders existing in a typical PBD population.

conclusionAbnormally engaged resting state affective, executive and sensorimotor networks observed in children with bipolar disorder may reflect a biological context in which abnormal task-based brain activity can occur. Dual engagement of the dorsal ACC in affective and executive networks supports the neuroanatomical interface of these networks, and the amygdala's engagement in moderating executive function illustrates the intricate interplay of these neural operations at rest.

Indexed as

AdolescentAffectAmygdalaBipolar DisorderBrainCase-Control StudiesChildCross-Sectional StudiesExecutive FunctionFemaleFunctional NeuroimagingGyrus CinguliHumansMaleNeural PathwaysRest

Identifiers

PMID23735583
PMCPMC3692720
OpenAlexW2119790474

What OpenQuestion holds

Textmetadata
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.