Evidence map›Paper›PMID 36754677›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2023

Dysfunctional Cortical Gradient Topography in Treatment-Resistant Major Depressive Disorder.

Lorenzo Pasquini, Susanna L Fryer, Stuart J Eisendrath, Zindel V Segal, Alex J Lee, Jesse A Brown, Manish Saggar, Daniel H Mathalon

Open access · hybridAbstract read
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 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
2.9field-weighted citation impact, top 8% 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, 25 citations in OpenAlex.

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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 2 institutions in 1 country.

Lorenzo PasquiniDepartment of Neurology, University of California, San Francisco, San Francisco, California. Electronic address: lorenzo.pasquini@ucsf.edu.
Susanna L FryerDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, California; San Francisco Veteran Affairs Health Care System, San Francisco, California.
Stuart J EisendrathDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, California.
Zindel V SegalDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, California.
Alex J LeeDepartment of Neurology, University of California, San Francisco, San Francisco, California.
Jesse A BrownDepartment of Neurology, University of California, San Francisco, San Francisco, California.
Manish SaggarDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California.
Daniel H MathalonDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, California; San Francisco Veteran Affairs Health Care System, San Francisco, California.
University of California, San Francisco · USStanford University · US

Funding

Applying Mindfulness-Based Cognitive Therapy to Treatment-Resistant DepressionR01AT004572 · NCCIH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EISENDRATH, STUART JAMES · 2009 to 2014
$3.5M
Only time will tell: a computational psychiatry approach to model temporal transitions in brain activity as a lens towards developing better diagnostic nosology for psychiatric illnessDP2MH119735 · NIMH · STANFORD UNIVERSITY · PI SAGGAR, MANISH · 2018 to 2018
$2.4M
Dynamic neural systems underlying socioemotional functionR00AG065457 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PASQUINI, LORENZO · 2022 to 2024
$898k
Dynamic neural systems underlying socioemotional functionK99AG065457 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PASQUINI, LORENZO · 2020 to 2021
$250k
NCCIH NIH HHS R01 AT004572NIA NIH HHS K99 AG065457NIA NIH HHS R00 AG065457NIMH NIH HHS DP2 MH119735
6 · The paper itself

Abstract

backgroundTreatment-resistant depression (TRD) refers to patients with major depressive disorder who do not remit after 2 or more antidepressant trials. TRD is common and highly debilitating, but its neurobiological basis remains poorly understood. Recent neuroimaging studies have revealed cortical connectivity gradients that dissociate primary sensorimotor areas from higher-order associative cortices. This fundamental topography determines cortical information flow and is affected by psychiatric disorders. We examined how TRD impacts gradient-based hierarchical cortical organization.

methodsIn this secondary study, we analyzed resting-state functional magnetic resonance imaging data from a mindfulness-based intervention enrolling 56 patients with TRD and 28 healthy control subjects. Using gradient extraction tools, baseline measures of cortical gradient dispersion within and between functional brain networks were derived, compared across groups, and associated with graph theoretical measures of network topology. In patients, correlation analyses were used to associate measures of cortical gradient dispersion with clinical measures of anxiety, depression, and mindfulness at baseline and following the intervention.

resultsCortical gradient dispersion was reduced within major intrinsic brain networks in patients with TRD. Reduced cortical gradient dispersion correlated with increased network degree assessed through graph theory-based measures of network topology. Lower dispersion among default mode, control, and limbic network nodes related to baseline levels of trait anxiety, depression, and mindfulness. Patients' baseline limbic network dispersion predicted trait anxiety scores 24 weeks after the intervention.

conclusionsOur findings provide preliminary support for widespread alterations in cortical gradient architecture in TRD, implicating a significant role for transmodal and limbic networks in mediating depression, anxiety, and lower mindfulness in patients with TRD.

Indexed as

Major Depressive DisorderAntidepressive AgentsBrainCerebral CortexHumansMagnetic Resonance ImagingAntidepressive AgentsConnectivity gradientsDefault mode networkFunctional connectivityGraph theoryTreatment-resistant major depressive disorder

Identifiers

PMID36754677
PMCPMC10150583
OpenAlexW4307905419

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.