Evidence map›Paper›PMID 33313506›Full record

ArticleSchizophrenia bulletin open2020

Structural and Functional Connectivity of Visual Cortex in Schizophrenia and Bipolar Disorder: A Graph-Theoretic Analysis.

Eric A Reavis, Junghee Lee, Lori L Altshuler, Mark S Cohen, Stephen A Engel, David C Glahn, Amy M Jimenez, Katherine L Narr, Keith H Nuechterlein, Philipp Riedel and 2 more

Open access · goldAbstract read
In one paragraph

Article in Schizophrenia bulletin open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 20 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

12 authors at 3 institutions in 2 countries.

Eric A ReavisSemel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.ORCID 0000-0002-9843-9139
Junghee LeeSemel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.
Lori L AltshulerSemel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.
Mark S CohenDepartment of Psychology, University of California, Los Angeles, Los Angeles, CA.
Stephen A EngelDepartment of Psychology, University of Minnesota, Minneapolis, MN.
David C GlahnTommy Fuss Center for Neuropsychiatric Disease Research, Department of Psychiatry Boston Children's Hospital and Harvard Medical School, Boston, MA.
Amy M JimenezSemel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.ORCID 0000-0001-6077-1307
Katherine L NarrSemel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.
Keith H NuechterleinSemel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.
Philipp RiedelSemel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.
Jonathan K WynnSemel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.
Michael F GreenSemel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA.
University of California, Los Angeles · USBoston Children's Hospital · USUniversity of Minnesota · US

Funding

Visual tuning and performance in schizophrenia and bipolar disorderR01MH095878 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GREEN, MICHAEL F. · 2012 to 2016
$2.4M
Perceptual learning in schizophreniaF32MH108317 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REAVIS, ERIC ANDREW · 2016 to 2018
$173k
NIMH NIH HHS F32 MH108317NIMH NIH HHS R01 MH095878
6 · The paper itself

Abstract

Visual processing abnormalities in schizophrenia (SZ) are poorly understood, yet predict functional outcomes in the disorder. Bipolar disorder (BD) may involve similar visual processing deficits. Converging evidence suggests that visual processing may be relatively normal at early stages of visual processing such as early visual cortex (EVC), but that processing abnormalities may become more pronounced by mid-level visual areas such as lateral occipital cortex (LO). However, little is known about the connectivity of the visual system in SZ and BD. If the flow of information to, from, or within the visual system is disrupted by reduced connectivity, this could help to explain perceptual deficits. In the present study, we performed a targeted analysis of the structural and functional connectivity of the visual system using graph-theoretic metrics in a sample of 48 SZ, 46 BD, and 47 control participants. Specifically, we calculated parallel measures of local efficiency for EVC and LO from both diffusion weighted imaging data (structural) and resting-state (functional) imaging data. We found no structural connectivity differences between the groups. However, there was a significant group difference in functional connectivity and a significant group-by-region interaction driven by reduced LO connectivity in SZ relative to HC, whereas BD was approximately intermediate to the other 2 groups. We replicated this pattern of results using a different brain atlas. These findings support and extend theoretical models of perceptual dysfunction in SZ, providing a framework for further investigation of visual deficits linked to functional outcomes in SZ and related disorders.

Indexed as

bipolar disorderfunctional connectivitygraph theoryschizophreniastructural connectivityvisual processing

Identifiers

PMID33313506
PMCPMC7712743
OpenAlexW3093826148

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.