Evidence map›Paper›PMID 36715291›Full record

ArticleHuman brain mapping2023

Changes in white matter microstructure following serial ketamine infusions in treatment resistant depression.

Brandon Taraku, Roger P Woods, Michael Boucher, Randall Espinoza, Mayank Jog, Noor Al-Sharif, Katherine L Narr, Artemis Zavaliangos-Petropulu

Open access · goldFull text read
In one paragraph

Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

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  8. A review of diffusion MRI in mood disorders: mechanisms and predictors of treatment response.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
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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

8 authors at 1 institution in 1 country.

Brandon TarakuDepartment of Neurology, University of California Los Angeles, Los Angeles, California, USA.ORCID 0000-0001-7998-1128
Roger P WoodsDepartment of Neurology, University of California Los Angeles, Los Angeles, California, USA.
Michael BoucherDepartment of Psychiatry and Behavioral Sciences, University of California Los Angeles, Los Angeles, California, USA.
Randall EspinozaDepartment of Psychiatry and Behavioral Sciences, University of California Los Angeles, Los Angeles, California, USA.
Mayank JogDepartment of Neurology, University of California Los Angeles, Los Angeles, California, USA.ORCID 0000-0003-2519-1192
Noor Al-SharifDepartment of Neurology, University of California Los Angeles, Los Angeles, California, USA.
Katherine L NarrDepartment of Neurology, University of California Los Angeles, Los Angeles, California, USA.
Artemis Zavaliangos-PetropuluDepartment of Neurology, University of California Los Angeles, Los Angeles, California, USA.
University of California, Los Angeles · US

Funding

Training Grant in Neurobehavioral GeneticsT32NS048004 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEARDEN, CARRIE E, OPHOFF, ROEL A · 2004 to 2025
$5.8M
Perturbation of the treatment resistant depression connectome by fast-acting therapiesU01MH110008 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ESPINOZA, RANDALL, NARR, KATHERINE L · 2016 to 2019
$5.5M
Biomarkers of fast acting therapies in major depressionK24MH102743 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NARR, KATHERINE L · 2014 to 2018
$889k
NIMH NIH HHS K24 MH102743NIMH NIH HHS U01 MH110008NINDS NIH HHS T32 NS048004
6 · The paper itself

Abstract

Ketamine produces fast-acting antidepressant effects in treatment resistant depression (TRD). Though prior studies report ketamine-related changes in brain activity in TRD, understanding of ketamine's effect on white matter (WM) microstructure remains limited. We thus sought to examine WM neuroplasticity and associated clinical improvements following serial ketamine infusion (SKI) in TRD. TRD patients (N = 57, 49.12% female, mean age: 39.9) received four intravenous ketamine infusions (0.5 mg/kg) 2-3 days apart. Diffusion-weighted scans and clinical assessments (Hamilton Depression Rating Scale [HDRS-17]; Snaith Hamilton Pleasure Scale [SHAPS]) were collected at baseline and 24-h after SKI. WM measures including the neurite density index (NDI) and orientation dispersion index (ODI) from the neurite orientation dispersion and density imaging (NODDI) model, and fractional anisotropy (FA) from the diffusion tensor model were compared voxelwise pre- to post-SKI after using Tract-Based Spatial Statistics workflows to align WM tracts across subjects/time. Correlations between change in WM metrics and clinical measures were subsequently assessed. Following SKI, patients showed significant improvements in HDRS-17 (p-value = 1.8 E-17) and SHAPS (p-value = 1.97 E-10). NDI significantly decreased in occipitotemporal WM pathways (p < .05, FWER/TFCE corrected). ΔSHAPS significantly correlated with ΔNDI in the left internal capsule and left superior longitudinal fasciculus (r = -0.614, p-value = 6.24E-09). No significant changes in ODI or FA were observed. SKI leads to significant changes in the microstructural features of neurites within occipitotemporal tracts, and changes in neurite density within tracts connecting the basal ganglia, thalamus, and cortex relate to improvements in anhedonia. NODDI may be more sensitive for detecting ketamine-induced WM changes than DTI.

Indexed as

Depressive Disorder, Treatment-ResistantKetamineWhite MatterAdultBrainDiffusion Tensor ImagingFemaleHumansMaleNeuritesKetamineantidepressant treatmentdiffusion weightedketaminemagnetic resonance imagingmajor depressive disorderNODDIstructural connectivity

Identifiers

PMID36715291
PMCPMC10028677
OpenAlexW4318479216

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read5
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 Socratic graph.