Evidence map›Paper›PMID 28688741›Full record

ArticleSchizophrenia research2018

Stronger default mode network connectivity is associated with poorer clinical insight in youth at ultra high-risk for psychotic disorders.

Sarah V Clark, Vijay A Mittal, Jessica A Bernard, Aral Ahmadi, Tricia Z King, Jessica A Turner

Abstract read
In one paragraph

Article in Schizophrenia research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 40 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Sarah V ClarkGeorgia State University, Department of Psychology, Atlanta, GA, USA. Electronic address: sclark55@student.gsu.edu.
Vijay A MittalNorthwestern University, Department of Psychology, Evanston, Chicago, IL, USA; Northwestern University, Department of Psychiatry, Evanston, Chicago, IL, USA; Northwestern University, Institute for Policy Research, Evanston, Chicago, IL, USA; Northwestern University, Department of Medical Social Sciences, Evanston, Chicago, IL, USA.
Jessica A BernardTexas A&M University, Department of Psychology, College Station, TX, USA.
Aral AhmadiGeorgia State University, Department of Psychology, Atlanta, GA, USA.
Tricia Z KingGeorgia State University, Department of Psychology, Atlanta, GA, USA.
Jessica A TurnerGeorgia State University, Department of Psychology, Atlanta, GA, USA; The Mind Research Network, Albuquerque, NM, USA.
Georgia State University · USNorthwestern University · USTexas A&M University · US

Funding

Mining the Genomewide Scan: Genetic Profiles of Structural Loss in Schizophrenia: AD/ADRD supplementR01MH094524 · NIMH · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D, TURNER, JESS · 2012 to 2021
$6.3M
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
Frontal-Subcortical Development, Movement Abnormalities, and Risk for PsychosisR01MH094650 · NIMH · UNIVERSITY OF COLORADO · PI MITTAL, VIJAY A · 2011 to 2015
$2.3M
Exercise and markers of medial temporal health in youth at-risk for psychosisR33MH103231 · NIMH · NORTHWESTERN UNIVERSITY · PI BRYAN, ANGELA, MITTAL, VIJAY A · 2016 to 2018
$689k
Exercise and markers of medial temporal health in youth at-risk for psychosisR21MH103231 · NIMH · UNIVERSITY OF COLORADO · PI BRYAN, ANGELA, MITTAL, VIJAY A · 2014 to 2015
$489k
NIBIB NIH HHS R01 EB020407NIMH NIH HHS R01 MH094524NIMH NIH HHS R01 MH094650NIMH NIH HHS R21 MH103231NIMH NIH HHS R33 MH103231
6 · The paper itself

Abstract

Impaired clinical insight (CI) is a common symptom of psychotic disorders and a promising treatment target. However, to date, our understanding of how variability in CI is tied to underlying brain dysfunction in the clinical high-risk period is limited. Developing a stronger conception of this link will be a vital first step for efforts to determine if CI can serve as a useful prognostic indicator. The current study investigated whether variability in CI is related to major brain networks in adolescents and young adults at ultra high-risk (UHR) of developing psychosis. Thirty-five UHR youth were administered structured clinical interviews as well as an assessment for CI and underwent resting-state magnetic resonance imaging scans. Functional connectivity was calculated in the default mode network (DMN) and fronto-parietal network (FPN), two major networks that are dysfunctional in psychosis and are hypothesized to affect insight. Greater DMN connectivity between the posterior cingulate/precuneus and ventromedial prefrontal cortex (DMN) was related to poorer CI (R

Indexed as

Models, NeurologicalAdolescentBrain MappingFemaleFrontal LobeHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleNerve NetNeural PathwaysOxygenParietal LobePsychiatric Status Rating ScalesPsychotic DisordersYoung AdultOxygenDefault mode networkInsightProdromeUltra high-risk

Identifiers

PMID28688741
PMCPMC5756141
OpenAlexW2728887871

What OpenQuestion holds

Textmetadata
LicenceTDM
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.