Evidence map›Paper›PMID 28690972›Full record

ArticleCurrent behavioral neuroscience reports2017

Computational Psychiatry in Borderline Personality Disorder.

Sarah K Fineberg, Dylan Stahl, Philip Corlett

Abstract read
In one paragraph

Article in Current behavioral neuroscience reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

3 authors.

Sarah K FinebergYale University Department of Psychiatry.
Dylan StahlYale University Department of Psychiatry.
Philip CorlettYale University Department of Psychiatry.

Funding

Yale University Clinical and Translational Science Award ProgramUL1TR000142 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$31.8M
Pathophysiology of Auditory HallucinationsR01MH067073 · NIMH · YALE UNIVERSITY · PI CORLETT, PHILIP · 2003 to 2015
$3.0M
NCATS NIH HHS UL1 TR000142NIMH NIH HHS R01 MH067073
6 · The paper itself

Abstract

purpose of reviewWe review the literature on the use and potential use of computational psychiatry methods in Borderline Personality Disorder. RECENT

findingsComputational approaches have been used in psychiatry to increase our understanding of the molecular, circuit, and behavioral basis of mental illness. This is of particular interest in BPD, where the collection of ecologically valid data, especially in interpersonal settings, is becoming more common and more often subject to quantification. Methods that test learning and memory in social contexts, collect data from real-world settings, and relate behavior to molecular and circuit networks are yielding data of particular interest. SUMMARY: Research in BPD should focus on collaborative efforts to design and interpret experiments with direct relevance to core BPD symptoms and potential for translation to the clinic.

Indexed as

Bayesian learningBorderline Personality Disordercomputational psychiatryneural circuitsocial cognitionsocial rejectiontrust

Identifiers

PMID28690972
PMCPMC5499688

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.