Evidence map›Paper›PMID 26514163›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2017

A Computational Model of Major Depression: the Role of Glutamate Dysfunction on Cingulo-Frontal Network Dynamics.

Juan P Ramirez-Mahaluf, Alexander Roxin, Helen S Mayberg, Albert Compte

Open access · bronzeAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

27 citing papers in PubMed, 64 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Ephaptic coupling and power fluctuations in depression.bioRxiv : the preprint server for biology · 2025
    Article
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  16. Connectivity concepts in neuronal network modeling.PLoS computational biology · 2022
    Review
  17. Article
  18. Article
  19. Translational Informatics for Natural Products as Antidepressant Agents.Frontiers in cell and developmental biology · 2021
    Review
  20. 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 3 institutions in 2 countries.

Juan P Ramirez-MahalufInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
Alexander RoxinInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
Helen S MaybergSchool of Medicine, Emory University, Atlanta, GA, USA.
Albert CompteInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
Consorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESCentre de Recerca Matemàtica · ESEmory University · US

Funding

Special Scientific Procedures: Statistical Modeling CoreP50MH077083 · NIMH · EMORY UNIVERSITY · PI KUTNER, MICHAEL HENRY · 2006 to 2010
$9.3M
Testing an Imaging Biomarker for Treatment Stratification in Major DepressionR01MH073719 · NIMH · EMORY UNIVERSITY · PI DUNLOP, BOADIE W · 2006 to 2018
$5.8M
NIMH NIH HHS P50 MH077083NIMH NIH HHS R01 MH073719
6 · The paper itself

Abstract

Major depression disease (MDD) is associated with the dysfunction of multinode brain networks. However, converging evidence implicates the reciprocal interaction between midline limbic regions (typified by the ventral anterior cingulate cortex, vACC) and the dorso-lateral prefrontal cortex (dlPFC), reflecting interactions between emotions and cognition. Furthermore, growing evidence suggests a role for abnormal glutamate metabolism in the vACC, while serotonergic treatments (selective serotonin reuptake inhibitor, SSRI) effective for many patients implicate the serotonin system. Currently, no mechanistic framework describes how network dynamics, glutamate, and serotonin interact to explain MDD symptoms and treatments. Here, we built a biophysical computational model of 2 areas (vACC and dlPFC) that can switch between emotional and cognitive processing. MDD networks were simulated by slowing glutamate decay in vACC and demonstrated sustained vACC activation. This hyperactivity was not suppressed by concurrent dlPFC activation and interfered with expected dlPFC responses to cognitive signals, mimicking cognitive dysfunction seen in MDD. Simulation of clinical treatments (SSRI or deep brain stimulation) counteracted this aberrant vACC activity. Theta and beta/gamma oscillations correlated with network function, representing markers of switch-like operation in the network. The model shows how glutamate dysregulation can cause aberrant brain dynamics, respond to treatments, and be reflected in EEG rhythms as biomarkers of MDD.

Indexed as

Computer SimulationModels, NeurologicalAction PotentialsBrain WavesCognitionDeep Brain StimulationDisease ProgressionEmotionsFrontal LobeGlutamic AcidGyrus CinguliHumansMajor Depressive DisorderMemory, Short-TermNeural PathwaysNeuronsGlutamic AcidSelective Serotonin Reuptake InhibitorsSerotoninbistabilitydeep brain stimulationserotoninsubgenualtheta

Identifiers

PMID26514163
PMCPMC5939208
OpenAlexW2252841464

What OpenQuestion holds

Textmetadata
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.