Evidence map›Paper›PMID 29892518›Full record

ArticleCurrent behavioral neuroscience reports2018

Pathways to Neuroprediction: Opportunities and challenges to prediction of treatment response in depression.

Scott A Langenecker, Natania A Crane, Lisanne M Jenkins, K Luan Phan, Heide Klumpp

Open access · greenAbstract read
In one paragraph

Article in Current behavioral neuroscience reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Multidimensional imaging techniques for prediction of treatment response in major depressive disorder.Progress in neuro-psychopharmacology & biological psychiatry · 2019
    Article
  10. 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

5 authors at 1 institution in 1 country.

Scott A LangeneckerThe University of Illinois at Chicago.
Natania A CraneThe University of Illinois at Chicago.
Lisanne M JenkinsThe University of Illinois at Chicago.
K Luan PhanThe University of Illinois at Chicago.
Heide KlumppThe University of Illinois at Chicago.
University of Illinois Chicago · US

Funding

Training in the Neuroscience of Mental HealthT32MH067631 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI RASENICK, MARK M. · 2004 to 2024
$4.8M
Transdiagnostic Brain-Behavior Profiling to Enhance Cognitive Behavioral Therapy ResponseR01MH112705 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI KLUMPP, HEIDE · 2017 to 2021
$3.8M
Negative Valence Brain Targets and Predictors of Anxiety and Depression TreatmentR01MH101497 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI PHAN, K. LUAN · 2013 to 2016
$2.6M
Dimensional RDoC Modeling across the Range of Negative Mood DysfunctionR01MH101487 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LANGENECKER, SCOTT A · 2013 to 2016
$2.5M
NIMH NIH HHS R01 MH101487NIMH NIH HHS R01 MH101497NIMH NIH HHS R01 MH112705NIMH NIH HHS T32 MH067631
6 · The paper itself

Abstract

purpose of reviewWe set out to review the current state of science in neuroprediction, using biological measures of brain function, with task based fMRI to prospectively predict response to a variety of treatments. RECENT

findingsTask-based fMRI neuroprediction studies are balanced between whole brain and ROI specific analyses. The predominant tasks are emotion processing, with ROIs based upon amygdala and subgenual anterior cingulate gyrus, both within the salience and emotion network. A rapidly emerging new area of neuroprediction is of disease course and illness recurrence. Concerns include use of open-label and single arm studies, lack of consideration of placebo effects, unbalanced adjustments for multiple comparisons (over focus on type I error), small sample sizes, unreported effect sizes, overreliance on ROI studies. SUMMARY: There is a need to adjust neuroprediction study reporting so that greater coherence can facilitate meta analyses, and increased funding for more multiarm studies in neuroprediction.

Indexed as

cognitive behavioral therapyDepressionfMRInetworkspredictionpsychopharmacology

Identifiers

PMID29892518
PMCPMC5992916
OpenAlexW2793930622

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.