Evidence map›Paper›PMID 31313441›Full record

ArticleHuman brain mapping2019

Functional network connectivity impairments and core cognitive deficits in schizophrenia.

Bhim M Adhikari, L Elliot Hong, Hemalatha Sampath, Joshua Chiappelli, Neda Jahanshad, Paul M Thompson, Laura M Rowland, Vince D Calhoun, Xiaoming Du, Shuo Chen and 1 more

Open access · bronzeAbstract 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 55 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 3 pooled it
4.2field-weighted citation impact, top 5% 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

55 citing papers in PubMed, 3 syntheses or guidelines pooled it, 93 citations in OpenAlex.

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  17. Altered Brain-Behavior Association During Resting State is a Potential Psychosis Risk Marker.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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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

11 authors at 2 institutions in 1 country.

Bhim M AdhikariMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
L Elliot HongMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
Hemalatha SampathMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
Joshua ChiappelliMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
Neda JahanshadImaging Genetics Center, Mark & Mary Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine of USC, Marina del Rey, California.
Paul M ThompsonImaging Genetics Center, Mark & Mary Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine of USC, Marina del Rey, California.
Laura M RowlandMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
Vince D CalhounDepartment of Electrical and Computer Engineering, The Mind Research Network, Albuquerque, New Mexico.
Xiaoming DuMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.
Shuo ChenMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.ORCID 0000-0002-7990-4947
Peter KochunovMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland.ORCID 0000-0003-3656-4281
University of Maryland, Baltimore · USMind Research Network · US

Funding

Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
Multidisciplinary Schizophrenia Research TrainingT32MH067533 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI CARPENTER, WILLIAM T., ELMER, GREGORY I · 2004 to 2025
$4.3M
Amish Connectome Project on Mental IllnessU01MH108148 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT, KOCHUNOV, PETER V. · 2015 to 2018
$4.3M
Shared Neural Circuitry in Comorbid Schizophrenia and Nicotine AddictionR01DA027680 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT · 2010 to 2014
$2.4M
A Multivariate Mediation and Deep Learning Framework for Genome-Connectome -Substance Use ResearchDP1DA048968 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI CHEN, SHUO · 2019 to 2023
$2.3M
Neural Oscillatory Biomarkers for Genetics and Animal Models of SchizophreniaR01MH085646 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT · 2010 to 2013
$2.2M
The Role of Stress-Immune-Connectome Disruption in Mechanisms of Chinese Early Schizophrenia SpectrumR01MH112180 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT · 2017 to 2021
$1.0M
NIBIB NIH HHS R01 EB015611NIBIB NIH HHS U54 EB020403NIDA NIH HHS DP1 DA048968NIDA NIH HHS R01 DA027680NIH Blueprint for Neuroscience Research 2R01EB015611NIH Blueprint for Neuroscience Research R01DA027680NIH Blueprint for Neuroscience Research R01MH085646NIH Blueprint for Neuroscience Research R01MH112180NIH Blueprint for Neuroscience Research T32MH067533NIH Blueprint for Neuroscience Research U01MH108148NIH Blueprint for Neuroscience Research U54EB020403NIMH NIH HHS R01 MH085646NIMH NIH HHS R01 MH112180NIMH NIH HHS T32 MH067533NIMH NIH HHS U01 MH108148
6 · The paper itself

Abstract

Cognitive deficits contribute to functional disability in patients with schizophrenia and may be related to altered functional networks that serve cognition. We evaluated the integrity of major functional networks and assessed their role in supporting two cognitive functions affected in schizophrenia: processing speed (PS) and working memory (WM). Resting-state functional magnetic resonance imaging (rsfMRI) data, N = 261 patients and 327 controls, were aggregated from three independent cohorts and evaluated using Enhancing NeuroImaging Genetics through Meta Analysis rsfMRI analysis pipeline. Meta- and mega-analyses were used to evaluate patient-control differences in functional connectivity (FC) measures. Canonical correlation analysis was used to study the association between cognitive deficits and FC measures. Patients showed consistent patterns of cognitive and resting-state FC (rsFC) deficits across three cohorts. Patient-control differences in rsFC calculated using seed-based and dual-regression approaches were consistent (Cohen's d: 0.31 ± 0.09 and 0.29 ± 0.08, p < 10

Indexed as

Brain MappingSchizophrenic PsychologyAdultAntipsychotic AgentsCognitive DysfunctionFemaleHumansMagnetic Resonance ImagingMaleMemory, Short-TermNerve NetPsychiatric Status Rating ScalesPsychotic DisordersSchizophreniaYoung AdultAntipsychotic Agentseffect sizeprocessing speedresting-state functional connectivityworking memory

Identifiers

PMID31313441
PMCPMC6865503
OpenAlexW2958415980

What OpenQuestion holds

Textmetadata
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.