Evidence map›Paper›PMID 42176687›Full record

ArticleSchizophrenia research2026

Motivation and pleasure deficits reflect altered network embedding of normal brain deviations in schizophrenia.

Jacob Holker, Aaron Clouse, Sierra Ann J Gilday, Jacob Jensen, Delaina Cimmino, Barrett Humble, Jacob Johnston, Kennedy Madrid, Madeleine Reading, Sam Johnson and 5 more

Abstract read
In one paragraph

Article in Schizophrenia research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Jacob HolkerDepartment of Psychology, Brigham Young University, Provo, UT, USA.
Aaron ClouseThe Neuroscience Center, Brigham Young University, Provo, UT, USA.
Sierra Ann J GildayDepartment of Psychology, Brigham Young University, Provo, UT, USA.
Jacob JensenDepartment of Psychology, Brigham Young University, Provo, UT, USA.
Delaina CimminoDepartment of Psychology, Brigham Young University, Provo, UT, USA.
Barrett HumbleDepartment of Psychology, Brigham Young University, Provo, UT, USA.
Jacob JohnstonThe Neuroscience Center, Brigham Young University, Provo, UT, USA.
Kennedy MadridThe Neuroscience Center, Brigham Young University, Provo, UT, USA.
Madeleine ReadingDepartment of Psychology, Brigham Young University, Provo, UT, USA.
Sam JohnsonThe Neuroscience Center, Brigham Young University, Provo, UT, USA.
Braydon LeeThe Neuroscience Center, Brigham Young University, Provo, UT, USA.
Stefan EhrlichDivision of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Germany.
Matthew J SmithSchool of Social Work, University of Michigan, Ann Arbor, MI, USA.
Lei WangRotman Research Institute, Baycrest Academy for Research and Education, Toronto, ON, Canada.
Derin CobiaDepartment of Psychology, Brigham Young University, Provo, UT, USA; The Neuroscience Center, Brigham Young University, Provo, UT, USA. Electronic address: derin_cobia@byu.edu.

Funding

FUNCTION BIRNU24RR021992 · NCRR · UNIVERSITY OF CALIFORNIA-IRVINE · PI POTKIN, STEVEN G · 2006 to 2010
$25.0M
STRUCTURE, FUNCTION AND COGNITION IN SCHIZOPHRENIAP50MH071616 · NIMH · WASHINGTON UNIVERSITY · PI CSERNANSKY, JOHN G · 2004 to 2008
$11.2M
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
Informed Data-Driven Fusion of Behavior, Brain Function, and GenesR01EB005846 · NIBIB · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D · 2005 to 2016
$5.5M
NEUROMORPHOMETRY IN SCHIZOPHRENIA BY COMPUTER ALGORITHMR01MH056584 · NIMH · WASHINGTON UNIVERSITY · PI CSERNANSKY, JOHN G · 1998 to 2011
$4.2M
Multi-group semi-blind ICA of fMRIR01EB000840 · NIBIB · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D · 2003 to 2011
$3.2M
Neurodegenerative and Neurodevelopmental Subcortical Shape DiffeomorphometryR01EB020062 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI MILLER, MICHAEL I, MOSTOFSKY, STEWART H · 2016 to 2019
$2.8M
SchizConnect: Large-Scale Schizophrenia Neuroimaging Data Mediation & FederationU01MH097435 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI AMBITE, JOSE LUIS, POTKIN, STEVEN G · 2013 to 2016
$2.0M
Brain Glutamate and Outcome in SchizophreniaR01MH084898 · NIMH · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI BUSTILLO, JUAN RICARDO · 2009 to 2013
$1.7M
Genetic markers of white matter integrity in schizophrenia: Relationship to cliniRC1MH089257 · NIMH · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D · 2009 to 2010
$985k
Schizophrenia Data and Software Tool Federation using BIRN InfrastructureR01MH084803 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI WANG, LEI · 2009 to 2011
$933k
Functional Connectivity in SchizophreniaK08MH068540 · NIMH · UNIVERSITY OF MINNESOTA TWIN CITIES · PI WHITE, TONYA · 2004 to 2008
$896k
NCRR NIH HHS U24 RR021992NIBIB NIH HHS R01 EB000840NIBIB NIH HHS R01 EB005846NIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01 EB020062NIMH NIH HHS K08 MH068540NIMH NIH HHS P50 MH071616NIMH NIH HHS R01 MH056584NIMH NIH HHS R01 MH084803NIMH NIH HHS R01 MH084898NIMH NIH HHS RC1 MH089257NIMH NIH HHS U01 MH097435
6 · The paper itself

Abstract

backgroundNegative symptoms in schizophrenia are associated with significantly worse outcomes, and their factor structure (i.e., diminished motivation and pleasure [MAP] and diminished expressivity [EXP]) has only recently been clarified. Studies investigating structural imaging correlates of negative symptoms have largely focused on cortical regions involved in motivation, reward processing, affect expression, and language. Structural covariance network modeling provides a framework for examining covariance among these cortical regions in a network-like manner.

methodsClinical and imaging data from 203 individuals with schizophrenia were obtained from three independent data sites. Cortical thickness measures based on the Desikan-Killiany atlas were standardized using a normative modeling algorithm developed by the ENIGMA Lifespan Working Group. Structural covariance networks were constructed using a priori cortical regions of interest related to MAP and EXP. Linear regression models tested whether MAP and EXP severity predicted network embeddedness.

resultsBoth the MAP-related (F DISCUSSION: Results suggest that MAP is selectively associated with network-level over-coupling of cortical morphology, whereas EXP may reflect more distributed network properties. These findings underscore the potential role of cortical network rigidity in the pathophysiology of negative symptoms.

Indexed as

BrainCerebral CortexMotivationPleasureSchizophreniaSchizophrenic PsychologyAdultFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNegative symptomsNeuroimagingPsychosisStructural covariance

Identifiers

PMID42176687
PMCPMC13336550

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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.