Evidence map›Paper›PMID 28560267›Full record

ArticleNPJ schizophrenia2017

Electroconvulsive therapy-induced brain functional connectivity predicts therapeutic efficacy in patients with schizophrenia: a multivariate pattern recognition study.

Peng Li, Ri-Xing Jing, Rong-Jiang Zhao, Zeng-Bo Ding, Le Shi, Hong-Qiang Sun, Xiao Lin, Teng-Teng Fan, Wen-Tian Dong, Yong Fan and 1 more

Erratum issuedAbstract read
In one paragraph

Article in NPJ schizophrenia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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.

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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Peng Li *Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, 100191 China.
Ri-Xing Jing *National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190 China.
Rong-Jiang ZhaoDepartment of Alcohol and Drug Dependence, Beijing Hui-Long-Guan Hospital, Peking University, Beijing, 100096 China.
Zeng-Bo DingNational Institute on Drug Dependence and Beijing Key laboratory of Drug Dependence, Peking University, Beijing, 100191 China.
Le ShiInstitute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, 100191 China.
Hong-Qiang SunInstitute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, 100191 China.
Xiao LinPeking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, 100871 China.
Teng-Teng FanInstitute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, 100191 China.
Wen-Tian DongInstitute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, 100191 China.
Yong FanDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA.
Lin LuInstitute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, 100191 China.

Funding

Personalized Functional Network Modeling to Characterize and Predict Psychopathology in YouthR01EB022573 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Yong Fan, Theodore Satterthwaite · 2016 to 2026
$6.0M
Center for the Development of Novel Medications for Cocaine DependenceU54DA039002 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI KAMPMAN, KYLE MATTHEW · 2014 to 2018
$5.1M
Cancer imaging phenomics software suite: application to brain and breast cancerU24CA189523 · NCI · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS, KONTOS, DESPINA · 2015 to 2019
$3.2M
Longitudinal multi-modal neuroimaging of irritability in youthR01MH107703 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SATTERTHWAITE, THEODORE · 2015 to 2018
$2.6M
Targeting dopamine D3 receptors in cocaine addictionR01DA039215 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI CHILDRESS, ANNA ROSE · 2016 to 2019
$2.5M
NCI NIH HHS U24 CA189523NIBIB NIH HHS R01 EB022573NIDA NIH HHS R01 DA039215NIDA NIH HHS U54 DA039002NIMH NIH HHS R01 MH107703
6 · The paper itself

Abstract

Previous studies suggested that electroconvulsive therapy can influence regional metabolism and dopamine signaling, thereby alleviating symptoms of schizophrenia. It remains unclear what patients may benefit more from the treatment. The present study sought to identify biomarkers that predict the electroconvulsive therapy response in individual patients. Thirty-four schizophrenia patients and 34 controls were included in this study. Patients were scanned prior to treatment and after 6 weeks of treatment with antipsychotics only (

Identifiers

PMID28560267
PMCPMC5441568

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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.