Evidence map›Paper›PMID 29322687›Full record

ArticleHuman brain mapping2018

Abnormal fronto-striatal activation as a marker of threshold and subthreshold Bulimia Nervosa.

Marilyn Cyr, Xiao Yang, Guillermo Horga, Rachel Marsh

Abstract read
In one paragraph

Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Machine learning to advance the prediction, prevention and treatment of eating disorders.European eating disorders review : the journal of the Eating Disorders Association · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Subcortical Shape Abnormalities in Bulimia Nervosa.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2019
    Article
  12. Neuroimaging and eating disorders.Current opinion in psychiatry · 2019
    Review
  13. Article
  14. Article
  15. Cognitive Neuroscience of Eating Disorders.The Psychiatric clinics of North America · 2019
    Review
  16. Article
  17. 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

4 authors at 2 institutions in 1 country.

Marilyn CyrThe Division of Child and Adolescent Psychiatry, the New York State Psychiatric Institute and the Department of Psychiatry, the College of Physicians & Surgeons, Columbia University, New York, New York.ORCID 0000-0003-1605-0427
Xiao YangThe Division of Child and Adolescent Psychiatry, the New York State Psychiatric Institute and the Department of Psychiatry, the College of Physicians & Surgeons, Columbia University, New York, New York.
Guillermo HorgaThe Division of Translational Imaging, the New York State Psychiatric Institute and the Department of Psychiatry, College of Physicians & Surgeons, Columbia University, New York, New York.
Rachel MarshThe Division of Child and Adolescent Psychiatry, the New York State Psychiatric Institute and the Department of Psychiatry, the College of Physicians & Surgeons, Columbia University, New York, New York.
Columbia University · USNew York Psychoanalytic Society and Institute · US

Funding

A Longitudinal Multimodal MRI Study of Adolescents with Bulimia NervosaR01MH090062 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI MARSH, RACHEL · 2011 to 2015
$2.9M
Neural mechanisms of sensory predictions in schizophrenia with hallucinationsK23MH101637 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI HORGA, GUILLERMO · 2014 to 2018
$862k
NIMH NIH HHS K23 MH101637NIMH NIH HHS R01 MH090062
6 · The paper itself

Abstract

This study aimed to determine whether functional disturbances in fronto-striatal control circuits characterize adolescents with Bulimia Nervosa (BN) spectrum eating disorders regardless of clinical severity. FMRI was used to assess conflict-related brain activations during performance of a Simon task in two samples of adolescents with BN symptoms compared with healthy adolescents. The BN samples differed in the severity of their clinical presentation, illness duration and age. Multi-voxel pattern analyses (MVPAs) based on machine learning were used to determine whether patterns of fronto-striatal activation characterized adolescents with BN spectrum disorders regardless of clinical severity, and whether accurate classification of less symptomatic adolescents (subthreshold BN; SBN) could be achieved based on patterns of activation in adolescents who met DSM5 criteria for BN. MVPA classification analyses revealed that both BN and SBN adolescents could be accurately discriminated from healthy adolescents based on fronto-striatal activation. Notably, the patterns detected in more severely ill BN compared with healthy adolescents accurately discriminated less symptomatic SBN from healthy adolescents. Deficient activation of fronto-striatal circuits can characterize BN early in its course, when clinical presentations are less severe, perhaps pointing to circuit-based disturbances as useful biomarker or risk factor for the disorder, and a tool for understanding its developmental trajectory, as well as the development of early interventions.

Indexed as

AdolescentBrain MappingBulimia NervosaConflict, PsychologicalCorpus StriatumFemaleFrontal LobeHumansMachine LearningMagnetic Resonance ImagingMotor ActivityNeural PathwaysReaction TimeSeverity of Illness IndexVisual PerceptionYoung AdultadolescentsBulimia Nervosaconflict resolutionfronto-striatal circuitsfunctional magnetic resonance imagingmachine learningmulti-voxel pattern analysisself-regulatory controlSimon task

Identifiers

PMID29322687
PMCPMC5847471
OpenAlexW2782585779

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.