Evidence map›Paper›PMID 32372508›Full record

ArticleHuman brain mapping2020

Aberrant static and dynamic functional patterns of frontoparietal control network in antipsychotic-naïve first-episode psychosis subjects.

Frederic Briend, William P Armstrong, Nina V Kraguljac, Shella D Keilhloz, Adrienne C Lahti

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

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  6. Connectome-based predictive modeling of early and chronic psychosis symptoms.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 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

5 authors at 2 institutions in 1 country.

Frederic BriendDepartment of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID 0000-0002-4290-1478
William P ArmstrongDepartment of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Nina V KraguljacDepartment of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Shella D KeilhlozDepartment of Biomedical Engineering, Georgia Tech and Emory University, Atlanta, Georgia, USA.
Adrienne C LahtiDepartment of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID 0000-0002-5565-7662
University of Alabama at Birmingham · USGeorgia Institute of Technology · US

Funding

Trajectories of treatment response as window into the heterogeneity of psychosis: a longitudinal multimodal imaging study in medication-naieve first episode psychosis patientsR01MH113800 · NIMH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LAHTI, ADRIENNE C · 2018 to 2022
$3.9M
Glutamate, brain connectivity and duration of untreated psychosisR01MH102951 · NIMH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LAHTI, ADRIENNE C · 2014 to 2018
$2.9M
Spatiotemporal signatures of neural activity and neurophysiology in the BOLD signalR01MH111416 · NIMH · EMORY UNIVERSITY · PI KEILHOLZ, SHELLA D · 2016 to 2020
$1.9M
Structural and Neurometabolic White Matter Integrity in the Deficit SyndromeK23MH106683 · NIMH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KRAGULJAC, NINA VANESSA · 2015 to 2019
$883k
NIMH NIH HHS K23MH106683NIMH NIH HHS MH111416NIMH NIH HHS MH113800NIMH NIH HHS R01 MH102951NIMH NIH HHS R01 MH113800
6 · The paper itself

Abstract

Psychotic disorders are disabling clinical syndromes characterized by widespread alterations in cortical information processing. Disruption of frontoparietal network (FPN) connectivity has emerged as a common footprint across the psychosis spectrum. Our goal was to characterize the static and dynamic resting-state functional connectivity (FC) of the FPN in antipsychotic-naïve first-episode psychosis (FEP) subjects. We compared the static FC of the FPN in 40 FEP and 40 healthy control (HC) subjects, matched on age, sex, and socioeconomic status. To study the dynamic FC, we measured quasiperiodic patterns (QPPs) that consist of infraslow spatioemporal patterns embedded in the blood oxygen level-dependent signal that repeats over time, exhibiting alternation of high and low activity. Relative to HC, we found functional hypoconnectivity between the right middle frontal gyrus and the right middle temporal gyrus, as well as the left inferior temporal gyrus and the left inferior parietal gyrus in FEP (p < .05, false discovery rate corrected). The correlation of the QPP with all functional scans was significantly stronger for FEP compared to HC, suggesting a greater impact of the QPPs to intrinsic brain activity in psychotic population. Regressing the QPP from the functional scans erased all significant group differences in static FC, suggesting that abnormal connectivity in FEP could result from altered QPP. Our study supports that alterations of cortical information processing are not a function of psychotic chronicity or antipsychotic medication exposure and may be regarded as trait specific. In addition, static connectivity abnormality may be partly related to altered brain network temporal dynamics.

Indexed as

AdolescentAdultConnectomeFemaleFrontal LobeHumansMagnetic Resonance ImagingMaleNerve NetParietal LobePattern Recognition, AutomatedPsychotic DisordersYoung Adultantipsychotic-naïve functional connectivitydynamic functional connectivityfirst-episode psychosisquasiperiodic patterns

Identifiers

PMID32372508
PMCPMC7336157
OpenAlexW3020940445

What OpenQuestion holds

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LicenceCC BY
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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.