Evidence map›Paper›PMID 31179620›Full record

ArticleHuman brain mapping2019

Multimodal imaging reveals a complex pattern of dysfunction in corticolimbic pathways in major depressive disorder.

Allison C Nugent, Cristan Farmer, Jennifer W Evans, Sam L Snider, Dipavo Banerjee, Carlos A Zarate

Open access · greenAbstract read
In one paragraph

Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
3.8field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 45 citations in OpenAlex.

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  15. Neuroimaging-Derived Biomarkers of the Antidepressant Effects of Ketamine.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023
    Review
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  19. Frontiers in psychiatry · 2022
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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

6 authors at 1 institution in 1 country.

Allison C NugentSection on the Neurobiology and Treatment of Mood Disorders, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0003-2569-2480
Cristan FarmerSection on the Neurobiology and Treatment of Mood Disorders, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland.
Jennifer W EvansSection on the Neurobiology and Treatment of Mood Disorders, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland.
Sam L SniderSection on the Neurobiology and Treatment of Mood Disorders, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland.
Dipavo BanerjeeSection on the Neurobiology and Treatment of Mood Disorders, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland.
Carlos A ZarateSection on the Neurobiology and Treatment of Mood Disorders, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland.
National Institutes of Health · US

Funding

Glutamatergic Modulators for Rapid & Sustained Antidepressant EffectZIAMH002857 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI ZARATE, CARLOS · 2009 to 2025
$55.0M
NIMH MEG Core FacilityZICMH002889 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI NUGENT, ALLISON · 2009 to 2025
$31.4M
Glutamatergic Modulators--Rapid Sustained AntidepressantZ01MH002857 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MANJI, HUSSEINI K · 2005 to 2008
$621k
Intramural NIH HHS Z01 MH002857Intramural NIH HHS Z99 MH999999Intramural NIH HHS ZIA MH002857Intramural NIH HHS ZIC MH002889NIMH NIH HHS ZIA MH002857
6 · The paper itself

Abstract

Major depressive disorder (MDD) is highly prevalent and associated with considerable morbidity, yet its pathophysiology remains only partially understood. While numerous studies have investigated the neurobiological correlates of MDD, most have used only a single neuroimaging modality. In particular, diffusion tensor imaging (DTI) studies have failed to yield uniform results. In this context, examining key tracts and using information from multiple neuroimaging modalities may better characterize potential abnormalities in the MDD brain. This study analyzed data from 30 participants with MDD and 26 healthy participants who underwent DTI, magnetic resonance spectroscopy (MRS), resting-state functional magnetic resonance imaging (fMRI), and magnetoencephalography (MEG). Tracts connecting the subgenual anterior cingulate cortex (sgACC) and the left and right amygdala, as well as connections to the left and right hippocampus and thalamus, were examined as target areas. Reduced fractional anisotropy (FA) was observed in the studied tracts. Significant differences in the correlation between medial prefrontal glutamate concentrations and FA were also observed between MDD and healthy participants along tracts connecting the sgACC and right amygdala; healthy participants exhibited a strong correlation but MDD participants showed no such relationship. In the same tract, a correlation was observed between FA and subsequent antidepressant response to ketamine infusion in MDD participants. Exploratory models also suggested group differences in the relationship between DTI, fMRI, and MEG measures. This study is the first to combine MRS, DTI, fMRI, and MEG data to obtain multimodal indices of MDD and antidepressant response and may lay the foundation for similar future analyses.

Indexed as

CerebrumMajor Depressive DisorderMultimodal ImagingNeuroimagingAdultConnectomeDiffusion Tensor ImagingFemaleHumansMagnetic Resonance SpectroscopyMagnetoencephalographyMaleMiddle AgedRandomized Controlled Trials as Topicdiffusion tensor imagingfunctional magnetic resonance imagingmagnetic resonance spectroscopymagnetoencephalographymajor depressive disordermultimodal

Identifiers

PMID31179620
PMCPMC6677619
OpenAlexW2951314382

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.