Evidence map›Paper›PMID 29440404›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Multivariate resting-state functional connectivity predicts response to cognitive behavioral therapy in obsessive-compulsive disorder.

Nicco Reggente, Teena D Moody, Francesca Morfini, Courtney Sheen, Jesse Rissman, Joseph O'Neill, Jamie D Feusner

Registry-linked trialAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07278206 (Mitigating Cognitive Problems and Fatigue With Brain Stimulation in Long COVID), which is not on this map. Cited by 73 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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.

NCT07278206 narecruitingnot on this mapstarted 2025, after this paper: background citation

Mitigating Cognitive Problems and Fatigue With Brain Stimulation in Long COVID

TypeinterventionalSponsorAmsterdam UMC, location VUmcRan2025 to 2029Enrolled66ConditionsLong COVID, PASC Post Acute Sequelae of COVID 19, Post COVID-19 Condition (PCC)ArmsRepetitive Transcranial Magnetic Stimulation, Sham device
3 · Its place in the literature

Who cites it

73 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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

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

7 authors.

Nicco ReggenteDepartment of Psychology, University of California, Los Angeles, CA 90095; nreggente@psych.ucla.edu.
Teena D MoodyDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California, Los Angeles, CA 90095.
Francesca MorfiniDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California, Los Angeles, CA 90095.
Courtney SheenDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California, Los Angeles, CA 90095.
Jesse RissmanDepartment of Psychology, University of California, Los Angeles, CA 90095.ORCID 0000-0001-8889-5539
Joseph O'NeillDivision of Child and Adolescent Psychiatry, David Geffen School of Medicine at University of California, Los Angeles, CA 90095.
Jamie D FeusnerDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California, Los Angeles, CA 90095.

Funding

Anxiety and reward interaction and prediction of outcomes in anorexia nervosaR01MH105662 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FEUSNER, JAMIE · 2015 to 2019
$2.3M
Cognitive-Behavioral Therapy and Glutamate in Cingulate Gyrus in OCDR01MH085900 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FEUSNER, JAMIE, O'NEILL, JOSEPH · 2011 to 2014
$1.8M
Understanding the dynamics of visual processing abnormalities in body dysmorphic disorderR21MH110865 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FEUSNER, JAMIE · 2017 to 2018
$454k
NIMH NIH HHS R01 MH085900NIMH NIH HHS R01 MH105662NIMH NIH HHS R21 MH110865
6 · The paper itself

Abstract

Cognitive behavioral therapy (CBT) is an effective treatment for many with obsessive-compulsive disorder (OCD). However, response varies considerably among individuals. Attaining a means to predict an individual's potential response would permit clinicians to more prudently allocate resources for this often stressful and time-consuming treatment. We collected resting-state functional magnetic resonance imaging from adults with OCD before and after 4 weeks of intensive daily CBT. We leveraged machine learning with cross-validation to assess the power of functional connectivity (FC) patterns to predict individual posttreatment OCD symptom severity. Pretreatment FC patterns within the default mode network and visual network significantly predicted posttreatment OCD severity, explaining up to 67% of the variance. These networks were stronger predictors than pretreatment clinical scores. Results have clinical implications for developing personalized medicine approaches to identifying individual OCD patients who will maximally benefit from intensive CBT.

Indexed as

Cognitive Behavioral TherapyAdolescentAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMultivariate AnalysisNeural PathwaysObsessive-Compulsive DisorderPattern Recognition, PhysiologicalTreatment OutcomeYoung AdultCBTfunctional connectivitymachine learningOCDresting state

Identifiers

PMID29440404
PMCPMC5834692

What OpenQuestion holds

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Registered trials

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.