Evidence map›Paper›PMID 26767185›Full record

ArticleNeuroscience and neuroeconomics

Neural correlates of eating disorders: translational potential.

Carrie J McAdams, Whitney Smith

Abstract read
In one paragraph

Article in Neuroscience and neuroeconomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Mentalization and the left inferior frontal gyrus and insula.European eating disorders review : the journal of the Eating Disorders Association · 2018
    Article
  7. 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

2 authors.

Carrie J McAdamsUniversity of Texas at Southwestern Medical Center, Dallas, TX, USA; Department of Psychiatry, Texas Health Presbyterian Hospital of Dallas, Dallas, TX, USA.
Whitney SmithUniversity of Texas at Southwestern Medical Center, Dallas, TX, USA.

Funding

Neurobiology of Social Thinking in AnorexiaK23MH093684 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI MCADAMS, CARRIE JUSTINE · 2012 to 2016
$858k
NIMH NIH HHS K23 MH093684
6 · The paper itself

Abstract

Eating disorders are complex and serious psychiatric illnesses whose etiology includes psychological, biological, and social factors. Treatment of eating disorders is challenging as there are few evidence-based treatments and limited understanding of the mechanisms that result in sustained recovery. In the last 20 years, we have begun to identify neural pathways that are altered in eating disorders. Consideration of how these pathways may contribute to an eating disorder can provide an understanding of expected responses to treatments. Eating disorder behaviors include restrictive eating, compulsive overeating, and purging behaviors after eating. Eating disorders are associated with changes in many neural systems. In this targeted review, we focus on three cognitive processes associated with neurocircuitry differences in subjects with eating disorders such as reward, decision-making, and social behavior. We briefly examine how each of these systems function in healthy people, using Neurosynth meta-analysis to identify key regions commonly implicated in these circuits. We review the evidence for disruptions of these regions and systems in eating disorders. Finally, we describe psychiatric and psychological treatments that are likely to function by impacting these regions.

Indexed as

anorexia nervosabulimia nervosadecision-makingreward processingsocial cognition

Identifiers

PMID26767185
PMCPMC4707679

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.