Evidence map›Paper›PMID 23746539›Full record

ArticleBiological psychiatry2013

Is aberrant functional connectivity a psychosis endophenotype? A resting state functional magnetic resonance imaging study.

Sabin Khadka, Shashwath A Meda, Michael C Stevens, David C Glahn, Vince D Calhoun, John A Sweeney, Carol A Tamminga, Matcheri S Keshavan, Kasey O'Neil, David Schretlen and 1 more

Open access · greenAbstract read
In one paragraph

Article in Biological psychiatry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
128citing papers in PubMed, 7 pooled it
12.4field-weighted citation impact, top 1% 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

128 citing papers in PubMed, 7 syntheses or guidelines pooled it, 226 citations in OpenAlex.

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  16. Altered Brain-Behavior Association During Resting State is a Potential Psychosis Risk Marker.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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68 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

11 authors at 5 institutions in 1 country.

Sabin KhadkaOlin Neuropsychiatry Research Center, Hartford Hospital/Institute of Living, Hartford, CT 06106, USA. skhadka@harthosp.org
Shashwath A Meda
Michael C Stevens
David C Glahn
Vince D Calhoun
John A Sweeney
Carol A Tamminga
Matcheri S Keshavan
Kasey O'Neil
David Schretlen
Godfrey D Pearlson
Hartford Hospital · USThe University of Texas Southwestern Medical Center · USYale University · USHarvard University · USJohns Hopkins Hospital · US

Funding

Multivariate methods for identifying multitask/multimodal brain imaging biomarkersR01EB006841 · NIBIB · THE MIND RESEARCH NETWORK · PI VINCE D CALHOUN, Sergey Plis · 2007 to 2026
$9.8M
NEURAL MECHANISMS OF SCHIZOPHRENIAP20RR021938 · NCRR · THE MIND RESEARCH NETWORK · PI HANLON, FAITH MARIE · 2008 to 2011
$9.4M
Bipolar & Schizophrenia Consortium for Parsing Intermediate PhenotypesR01MH077851 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI TAMMINGA, CAROL A · 2007 to 2019
$7.8M
Bipolar & Schizophrenia Consortium for Parsing Intermediate PhenotypesR01MH077945 · NIMH · YALE UNIVERSITY · PI PEARLSON, GODFREY D · 2007 to 2019
$7.6M
Stability of Biotypes: a Longitudinal EvaluationR01MH078113 · NIMH · WAYNE STATE UNIVERSITY · PI KESHAVAN, MATCHERI S. · 2007 to 2019
$6.2M
Quantitative Neuroimaging in Psychosis; DTI StudiesR37MH043775 · NIMH · HARTFORD HOSPITAL · PI PEARLSON, GODFREY D · 2005 to 2012
$4.8M
Multi-group semi-blind ICA of fMRIR01EB000840 · NIBIB · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D · 2003 to 2011
$3.2M
Bipolar & Schizophrenia Consortium for Parsing Intermediate PhenotypesR01MH077862 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI SWEENEY, JOHN A · 2007 to 2010
$3.1M
Unified multivariate data-driven solutions for static and dynamic brain connectivityR01EB020407 · NIBIB · THE MIND RESEARCH NETWORK · PI ADALI, TULAY, CALHOUN, VINCE D · 2015 to 2018
$2.7M
Schizophrenia Biomarkers: Memory, Genes and fMRIR01MH074797 · NIMH · HARTFORD HOSPITAL · PI PEARLSON, GODFREY D · 2007 to 2010
$1.5M
NCRR NIH HHS 5P20RR021938NCRR NIH HHS P20 RR021938NIBIB NIH HHS 2R01 EB000840NIBIB NIH HHS R01 EB000840NIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01 EB020407NIMH NIH HHS MH077851NIMH NIH HHS MH077862NIMH NIH HHS MH077945-03NIMH NIH HHS MH78113NIMH NIH HHS R01 MH074797NIMH NIH HHS R01MH074797NIMH NIH HHS R01 MH077851NIMH NIH HHS R01 MH077862NIMH NIH HHS R01 MH077945NIMH NIH HHS R01 MH078113NIMH NIH HHS R37 MH043775NIMH NIH HHS R37MH43375
6 · The paper itself

Abstract

backgroundSchizophrenia and bipolar disorder share overlapping symptoms and risk genes. Shared aberrant functional connectivity is hypothesized in both disorders and in relatives.

methodsWe investigated resting state functional magnetic resonance imaging in 70 schizophrenia and 64 psychotic bipolar probands, their respective first-degree relatives (n = 70 and 52), and 118 healthy subjects. We used independent component analysis to identify components representing various resting state networks and assessed spatial aspects of functional connectivity within all networks. We first investigated group differences using five-level, one-way analysis of covariance (ANCOVA), followed by post hoc t tests within regions displaying ANCOVA group differences and correlation of such functional connectivity measures with symptom ratings to examine clinical relationships.

resultsSeven networks revealed abnormalities (five-level one-way ANCOVA, family-wise error correction p < .05): A) fronto-occipital, B) midbrain/cerebellum, C) frontal/thalamic/basal ganglia, D) meso/paralimbic, E) posterior default mode network, F) fronto-temporal/paralimbic and G) sensorimotor networks. Abnormalities in networks B and F were unique to schizophrenia probands. Furthermore, abnormalities in networks D and E were common to both patient groups. Finally, networks A, C, and G showed abnormalities shared by probands and their relative groups. Negative correlation with Positive and Negative Syndrome Scale negative and positive scores were found in regions within network C and F respectively, and positive correlation with Positive and Negative Syndrome Scale negative scores was found in regions in network D among schizophrenia probands only.

conclusionsSchizophrenia, psychotic bipolar probands, and their relatives share both unique and overlapping within-network brain connectivity abnormalities, revealing potential psychosis endophenotypes.

Indexed as

Brain MappingEndophenotypesAdultBipolar DisorderBrainFemaleHumansMagnetic Resonance ImagingMaleNerve NetRestSchizophreniaBipolarendophenotyperelativesresting stateschizophreniawithin-network connectivity

Identifiers

PMID23746539
PMCPMC3752322
OpenAlexW2044477259

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Registered trials

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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.