Evidence map›Paper›PMID 33462330›Full record

ArticleMolecular psychiatry2021

Altered temporal, but intact spatial, features of transient network dynamics in psychosis.

Danhong Wang, Xiaolong Peng, Andrea Pelletier-Baldelli, Natasza Orlov, Amy Farabaugh, Shahin Nasr, Hamdi Eryilmaz, Maurizio Fava, Avram J Holmes, Joshua L Roffman and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Atypical Development of Functional Brain Networks in Neonates with Congenital Heart Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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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

12 authors at 4 institutions in 2 countries.

Danhong WangAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
Xiaolong PengAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.ORCID http://orcid.org/0000-0002-4488-9628
Andrea Pelletier-BaldelliUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Natasza OrlovAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
Amy FarabaughDepartment of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Shahin NasrAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
Hamdi EryilmazDepartment of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Maurizio FavaDepartment of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Avram J HolmesDepartment of Psychology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0001-6583-803X
Joshua L RoffmanAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
Hesheng LiuAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA. hesheng.liu@mgh.harvard.edu.
Daphne J HoltAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA. dholt@mgh.harvard.edu.ORCID http://orcid.org/0000-0002-6428-9603
Harvard University · USMedical University of South Carolina · USUniversity of North Carolina at Chapel Hill · USYale University · US

Funding

The neural network of OCD, linking NHP and human studiesP50MH106435 · NIMH · UNIVERSITY OF ROCHESTER · PI Suzanne N Haber · 2015 to 2026
$28.9M
Treating Depression and Enhancing Locomotor Recovery Post-strokeP20GM109040 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI KAUTZ, STEVEN A. · 2014 to 2024
$23.5M
Continuity of the Limbic Circuit Through the Basal GangliaR01MH045573 · NIMH · UNIVERSITY OF ROCHESTER · PI HABER, SUZANNE N · 1989 to 2024
$10.1M
COCA: Project 4. Neurocircuit Strategy to Decrease Cocaine Cue ReactivityP50DA046373 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI HANLON, COLLEEN A · 2019 to 2023
$9.9M
Neural mechanisms of social distance in psychosisR01MH109562 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI HOLT, DAPHNE J · 2016 to 2020
$4.1M
Mapping the intrinsic functional organization of auditory cortex in individual subjects using 7T MRIR01DC017991 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI AHVENINEN, JYRKI · 2019 to 2023
$4.0M
Translating The Individualized Functional Connectome To Surgical PlanningR01NS091604 · NINDS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI LIU, HESHENG · 2015 to 2019
$2.1M
Understanding Functional Connectivity Abnormalities In Individual Patients with PsychosisK01MH111802 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI WANG, DANHONG · 2017 to 2021
$931k
Contributions of MTHFR Genotype to Frontal Lobe Dysfunction in SchizophreniaK23MH084059 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI ROFFMAN, JOSHUA LAWRENCE · 2009 to 2013
$909k
Cerebro-cerebellar circuitry in the pathophysiology of auditory hallucinations: dysmetria of auditory perceptual processing?R21MH121831 · NIMH · MCLEAN HOSPITAL · PI LIU, HESHENG, SHINN, ANN KYUNGAH · 2019 to 2020
$451k
NIDA NIH HHS P50 DA046373NIDCD NIH HHS R01 DC017991NIGMS NIH HHS P20 GM109040NIMH NIH HHS K01 MH111802NIMH NIH HHS K23 MH084059NIMH NIH HHS P50 MH106435NIMH NIH HHS R01 MH045573NIMH NIH HHS R01 MH109562NIMH NIH HHS R21 MH121831NINDS NIH HHS R01 NS091604
6 · The paper itself

Abstract

Contemporary models of psychosis suggest that a continuum of severity of psychotic symptoms exists, with subthreshold psychotic experiences (PEs) potentially reflecting some genetic and environmental risk factors shared with clinical psychosis. Thus, identifying abnormalities in brain activity that manifest across this continuum can shed new light on the pathophysiology of psychosis. Here, we investigated the moment-to-moment engagement of brain networks ("states") in individuals with schizophrenia (SCZ) and PEs and identified features of these states that are associated with psychosis-spectrum symptoms. Transient brain states were defined by clustering "single snapshots" of blood oxygen level-dependent images, based on spatial similarity of the images. We found that individuals with SCZ (n = 35) demonstrated reduced recruitment of three brain states compared to demographically matched healthy controls (n = 35). Of these three illness-related states, one specific state, involving primarily the visual and salience networks, also occurred at a lower rate in individuals with persistent PEs (n = 22), compared to demographically matched healthy youth (n = 22). Moreover, the occurrence rate of this marker brain state was negatively correlated with the severity of PEs (r = -0.26, p = 0.003, n = 130). In contrast, the spatial map of this state appeared to be unaffected in the SCZ or PE groups. Thus, reduced engagement of a brain state involving the visual and salience networks was demonstrated across the psychosis continuum, suggesting that early disruptions of perceptual and affective function may underlie some of the core symptoms of the illness.

Indexed as

Psychotic DisordersSchizophreniaAdolescentBrainHumansMagnetic Resonance Imaging

Identifiers

PMID33462330
PMCPMC8286268
OpenAlexW3121577538

What OpenQuestion holds

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LicenceCC BY
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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.