Evidence map›Paper›PMID 29034354›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2017

Prefrontal Connectivity and Glutamate Transmission: Relevance to Depression Pathophysiology and Ketamine Treatment.

Chadi G Abdallah, Christopher L Averill, Ramiro Salas, Lynnette A Averill, Philip R Baldwin, John H Krystal, Sanjay J Mathew, Daniel H Mathalon

Open access · greenAbstract read
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 5 pooled it
6.5field-weighted citation impact, top 3% 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

75 citing papers in PubMed, 5 syntheses or guidelines pooled it, 112 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Trial
  8. Trial
  9. A robust and reproducible connectome fingerprint of ketamine is highly associated with the connectomic signature of antidepressants.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021
    Trial
  10. Trial
  11. Ketamine-induced analgesia and dissociation show distinct behavioral and neural correlates.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Chadi G AbdallahNational Center for PTSD - Clinical Neurosciences Division, US Department of Veterans Affairs, West Haven, Connecticut.
Christopher L AverillNational Center for PTSD - Clinical Neurosciences Division, US Department of Veterans Affairs, West Haven, Connecticut.
Ramiro SalasMenninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA.
Lynnette A AverillNational Center for PTSD - Clinical Neurosciences Division, US Department of Veterans Affairs, West Haven, Connecticut.
Philip R BaldwinMenninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA.
John H KrystalNational Center for PTSD - Clinical Neurosciences Division, US Department of Veterans Affairs, West Haven, Connecticut.
Sanjay J MathewMenninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA.
Daniel H MathalonUniversity of California, San Francisco; San Francisco Veterans Affairs Medical Center.
United States Department of Veterans Affairs · USMichael E. DeBakey VA Medical Center · USSan Francisco VA Medical Center · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Optimization of IV Ketamine for Treatment Resistant Major DepressionR01MH081870 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MATHEW, SANJAY J · 2009 to 2012
$1.4M
Examining The Effect Of Ketamine On Glutamate/Glutamine CyclingK23MH101498 · NIMH · YALE UNIVERSITY · PI ABDALLAH, CHADI · 2013 to 2017
$879k
Multimodal Imaging of Reward Brain Centers in Tobacco Smoking VeteransI01CX000994 · VA · MICHAEL E DEBAKEY VA MEDICAL CENTER · PI SALAS, RAMIRO · 2014 to 2016
–
CSRD VA I01 CX000994NCATS NIH HHS UL1 TR001863NIMH NIH HHS K23 MH101498NIMH NIH HHS R01 MH081870
6 · The paper itself

Abstract

backgroundPrefrontal global brain connectivity with global signal regression (GBCr) was proposed as a robust biomarker of depression, and was associated with ketamine's mechanism of action. Here, we investigated prefrontal GBCr in treatment-resistant depression (TRD) at baseline and following treatment. Then, we conducted a set of pharmacological challenges in healthy subjects to investigate the glutamate neurotransmission correlates of GBCr.

methodsIn study A, we used functional magnetic resonance imaging (

resultsIn study A, TRD patients showed significant reduction in dorsomedial and dorsolateral prefrontal GBCr compared to healthy control. In TRD patients, GBCr in the altered clusters significantly increased 24h following ketamine (

conclusionsThis study provides first replication of the ability of ketamine to normalize depression-related prefrontal dysconnectivity. It also provides indirect evidence that these effects may be triggered by the capacity of ketamine to enhance glutamate neurotransmission.

Indexed as

functional MRIglobal brain connectivityglutamateketaminerapid acting antidepressantsTreatment resistant depression

Identifiers

PMID29034354
PMCPMC5635826
OpenAlexW2607285009

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.