Evidence map›Paper›PMID 38422833›Full record

ArticleNeuroImage. Clinical2024

A whole-brain neuromark resting-state fMRI analysis of first-episode and early psychosis: Evidence of aberrant cortical-subcortical-cerebellar functional circuitry.

Kyle M Jensen, Vince D Calhoun, Zening Fu, Kun Yang, Andreia V Faria, Koko Ishizuka, Akira Sawa, Pablo Andrés-Camazón, Brian A Coffman, Dylan Seebold and 3 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
6.5field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  13. Causal Central Network Remodeling in Diabetic Neuropathy: An Integrated MR-fMRI Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 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

13 authors at 6 institutions in 2 countries.

Kyle M JensenGeorgia State University, Atlanta, GA, USA; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Atlanta, GA, USA. Electronic address: kjensen7@gsu.edu.
Vince D CalhounGeorgia State University, Atlanta, GA, USA; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Atlanta, GA, USA.
Zening FuGeorgia State University, Atlanta, GA, USA; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Atlanta, GA, USA.
Kun YangJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Andreia V FariaJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Koko IshizukaJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Akira SawaJohns Hopkins University School of Medicine, Baltimore, MD, USA; Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Pablo Andrés-CamazónTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Atlanta, GA, USA; Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, Madrid, Spain.
Brian A CoffmanUniversity of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Dylan SeeboldUniversity of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Jessica A TurnerWexner Medical Center, The Ohio State University, Columbus, OH, USA.
Dean F SalisburyUniversity of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Armin IrajiGeorgia State University, Atlanta, GA, USA; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Atlanta, GA, USA.
Georgia State University · USUniversity of Pittsburgh · USJohns Hopkins Medicine · USJohns Hopkins University · USCenter for Translational Research in Neuroimaging and Data Science · USThe Ohio State University Wexner Medical Center · US

Funding

Project 3P50MH094268 · NIMH · JOHNS HOPKINS UNIVERSITY · PI SAWA, AKIRA · 2011 to 2020
$19.9M
Statistics and Data Management CoreP50MH103204 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEWIS, DAVID A · 2014 to 2018
$10.8M
Male/Female differences in psychosis and mood disorders:Dynamic imaging-genomic models for characterizing and predicting psychosis and mood dR01MH118695 · NIMH · GEORGIA STATE UNIVERSITY · PI ADALI, TULAY, CALHOUN, VINCE D · 2019 to 2023
$3.8M
Auditory Cortex Connectivity in Emerging PsychosisR01MH113533 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SALISBURY, DEAN F · 2017 to 2021
$3.4M
Auditory Attention in First Episode PsychosisR01MH108568 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SALISBURY, DEAN F · 2016 to 2021
$3.1M
DISC1-dependent defects in neural fate, corticogenesis and cognition in psychosisR01MH105660 · NIMH · JOHNS HOPKINS UNIVERSITY · PI ISHIZUKA, KOKO, SAWA, AKIRA · 2014 to 2018
$2.8M
Oxidative stress and schizophrenia: combination of cell biology and brain imagingR01MH092443 · NIMH · JOHNS HOPKINS UNIVERSITY · PI SAWA, AKIRA · 2011 to 2015
$1.8M
Mapping the Infant Brain Developmental Connectome: Temporally Precise Growth Trajectories of Changing Infant Brain TopologyR01MH119251 · NIMH · EMORY UNIVERSITY · PI IRAJI, ARMIN, SHULTZ, SARAH · 2020 to 2023
$1.0M
NIMH NIH HHS P50 MH094268NIMH NIH HHS P50 MH103204NIMH NIH HHS R01 MH092443NIMH NIH HHS R01 MH105660NIMH NIH HHS R01 MH108568NIMH NIH HHS R01 MH113533NIMH NIH HHS R01 MH118695NIMH NIH HHS R01 MH119251Wellcome Trust MH107730
6 · The paper itself

Abstract

Psychosis (including symptoms of delusions, hallucinations, and disorganized conduct/speech) is a main feature of schizophrenia and is frequently present in other major psychiatric illnesses. Studies in individuals with first-episode (FEP) and early psychosis (EP) have the potential to interpret aberrant connectivity associated with psychosis during a period with minimal influence from medication and other confounds. The current study uses a data-driven whole-brain approach to examine patterns of aberrant functional network connectivity (FNC) in a multi-site dataset comprising resting-state functional magnetic resonance images (rs-fMRI) from 117 individuals with FEP or EP and 130 individuals without a psychiatric disorder, as controls. Accounting for age, sex, race, head motion, and multiple imaging sites, differences in FNC were identified between psychosis and control participants in cortical (namely the inferior frontal gyrus, superior medial frontal gyrus, postcentral gyrus, supplementary motor area, posterior cingulate cortex, and superior and middle temporal gyri), subcortical (the caudate, thalamus, subthalamus, and hippocampus), and cerebellar regions. The prominent pattern of reduced cerebellar connectivity in psychosis is especially noteworthy, as most studies focus on cortical and subcortical regions, neglecting the cerebellum. The dysconnectivity reported here may indicate disruptions in cortical-subcortical-cerebellar circuitry involved in rudimentary cognitive functions which may serve as reliable correlates of psychosis.

Indexed as

Psychotic DisordersSchizophreniaBrainBrain MappingCerebellumHumansMagnetic Resonance ImagingEarly psychosis (EP)First-episode psychosis (FEP)Functional network connectivity (FNC)Independent component analysis (ICA)Resting-state fMRISchizophrenia

Identifiers

PMID38422833
PMCPMC10944191
OpenAlexW4392252331

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.