Evidence map›Paper›PMID 37001298›Full record

ArticlePsychiatry research. Neuroimaging2023

Structural connectivity of an interoception network in schizophrenia.

Beier Yao, Pan Gu, Carly A Lasagna, Scott Peltier, Stephan F Taylor, Ivy F Tso, Katharine N Thakkar

Open access · greenAbstract read
In one paragraph

Article in Psychiatry research. Neuroimaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 12 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

7 authors at 6 institutions in 1 country.

Beier YaoSchizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA. Electronic address: byao2@partners.org.
Pan GuDepartment of Neuroscience, University of Texas at Dallas, Richardson, TX, USA.
Carly A LasagnaDepartment of Psychology, University of Michigan, Ann Arbor, MI, USA.
Scott PeltierFunctional MRI Laboratory, University of Michigan, Ann Arbor, MI, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Stephan F TaylorDepartment of Psychology, University of Michigan, Ann Arbor, MI, USA; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
Ivy F TsoDepartment of Psychiatry & Behavioral Health, Ohio State University, Columbus, OH, USA.
Katharine N ThakkarDepartment of Psychology, Michigan State University, East Lansing, MI, USA; Division of Psychiatry and Behavioral Medicine, Michigan State University, Grand Rapids, MI, USA.
University of Michigan–Ann Arbor · USMcLean Hospital · USMichigan Medicine · USMichigan State University · USThe Ohio State University · USThe University of Texas at Dallas · US

Funding

Multi-modal assessment of GABA function in psychosisR01MH118634 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TAYLOR, STEPHAN F · 2019 to 2023
$3.3M
Disrupted eye gaze perception as a biobehavioral marker of social dysfunction: An RDoC investigationR01MH122491 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TSO, IVY FEI · 2020 to 2024
$2.9M
Visual perception as a window onto prediction anomalies in schizophreniaR01MH121417 · NIMH · MICHIGAN STATE UNIVERSITY · PI THAKKAR, KATHARINE NATASHA · 2021 to 2025
$2.3M
Michigan Institute for Clinical and Health Research (MCHR)KL2TR000434 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$1.7M
Uncovering pathophysiological mechanisms of psychosis using the oculomotor system.R01MH112644 · NIMH · MICHIGAN STATE UNIVERSITY · PI THAKKAR, KATHARINE NATASHA · 2017 to 2020
$1.5M
Neural mechanisms of eye gaze perception in schizophreniaK23MH108823 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TSO, IVY FEI · 2016 to 2020
$894k
NCATS NIH HHS KL2 TR000434NIMH NIH HHS K23 MH108823NIMH NIH HHS R01 MH112644NIMH NIH HHS R01 MH118634NIMH NIH HHS R01 MH121417NIMH NIH HHS R01 MH122491
6 · The paper itself

Abstract

Interoception refers to the processing, integration, and interpretation of bodily signals by the brain. Interoception is key to not only basic survival, but also motivational and affective functioning. There is emerging evidence suggesting altered interoception in schizophrenia, but few studies have explored potential neural underpinnings. The current study aims to investigate the anatomical connectivity of a previously identified interoception network in individuals with schizophrenia, and the relationship between network structural connectivity and both emotional functioning and clinical symptoms. Thirty-five participants with schizophrenia (SZ) and 36 healthy control participants (HC) underwent diffusion tensor imaging (DTI) and performed tasks measuring emotional functioning. Probabilistic tractography was used to identify white matter tracts connecting key hubs in an interoception network. Microstructural integrity of these tracts was compared across groups and correlated with measures of emotional functioning and symptom severity. Compared with HC, SZ exhibited altered structural connectivity in the interoception network. In HC, the structural connectivity of the network was significantly correlated with emotion recognition, supporting a link between the interoception network and emotional functioning. However, this correlation was much weaker in SZ. These findings suggest that altered interoception may have implications for illness mechanisms of schizophrenia, especially in relation to emotional deficits.

Indexed as

InteroceptionSchizophreniaBrainDiffusion Tensor ImagingHumansMagnetic Resonance ImagingAllostasisAmygdalaAnterior cingulate cortexDTIFacial emotion recognitionInsula

Identifiers

PMID37001298
PMCPMC10133183
OpenAlexW4361278540

What OpenQuestion holds

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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.