Evidence map›Paper›PMID 33340977›Full record

ArticleNeuroImage. Clinical2021

Temporal-thalamic and cingulo-opercular connectivity in people with schizophrenia.

Adam J Culbreth, Qiong Wu, Shuo Chen, Bhim M Adhikari, L Elliot Hong, James M Gold, James A Waltz

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. GLACIER: GLASS-BOX TRANSFORMER FOR INTERPRETABLE DYNAMIC NEUROIMAGING.Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference) · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Thalamocortical Mechanisms for Nostalgia-Induced Analgesia.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
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.

Adam J CulbrethMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland, School of Medicine, United States. Electronic address: aculbreth@som.umaryland.edu.
Qiong WuDepartment of Mathematics, University of Maryland, College Park, United States.
Shuo ChenMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland, School of Medicine, United States; Division of Biostatistics and Bioinformatics, University of Maryland, Baltimore, United States.
Bhim M AdhikariMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland, School of Medicine, United States.
L Elliot HongMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland, School of Medicine, United States.
James M GoldMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland, School of Medicine, United States.
James A WaltzMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland, School of Medicine, United States.

Funding

Multidisciplinary Schizophrenia Research TrainingT32MH067533 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI CARPENTER, WILLIAM T., ELMER, GREGORY I · 2004 to 2025
$4.3M
Reward System Function as a Potential Mediator of the Impact of Stress on Psychopathology: A Computational Neuroimaging StudyR01MH115031 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI WALTZ, JAMES A · 2018 to 2022
$2.6M
Shared Neural Circuitry in Comorbid Schizophrenia and Nicotine AddictionR01DA027680 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT · 2010 to 2014
$2.4M
A Multivariate Mediation and Deep Learning Framework for Genome-Connectome -Substance Use ResearchDP1DA048968 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI CHEN, SHUO · 2019 to 2023
$2.3M
Neural Oscillatory Biomarkers for Genetics and Animal Models of SchizophreniaR01MH085646 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT · 2010 to 2013
$2.2M
Neurocomputational and fMRI Studies of Motivational Deficits in SchizophreniaR01MH094460 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI WALTZ, JAMES A · 2012 to 2016
$1.7M
The Role of Stress-Immune-Connectome Disruption in Mechanisms of Chinese Early Schizophrenia SpectrumR01MH112180 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT · 2017 to 2021
$1.0M
NIDA NIH HHS DP1 DA048968NIDA NIH HHS R01 DA027680NIMH NIH HHS R01 MH085646NIMH NIH HHS R01 MH094460NIMH NIH HHS R01 MH112180NIMH NIH HHS R01 MH115031NIMH NIH HHS T32 MH067533
6 · The paper itself

Abstract

A growing body of research has suggested that people with schizophrenia (SZ) exhibit altered patterns of functional and anatomical brain connectivity. For example, many previous resting state functional connectivity (rsFC) studies have shown that, compared to healthy controls (HC), people with SZ demonstrate hyperconnectivity between subregions of the thalamus and sensory cortices, as well as hypoconnectivity between subregions of the thalamus and prefrontal cortex. In addition to thalamic findings, hypoconnectivity between cingulo-opercular brain regions thought to be involved in salience detection has also been commonly reported in people with SZ. However, previous studies have largely relied on seed-based analyses. Seed-based approaches require researchers to define a single a priori brain region, which is then used to create a rsFC map across the entire brain. While useful for testing specific hypotheses, these analyses are limited in that only a subset of connections across the brain are explored. In the current manuscript, we leverage novel network statistical techniques in order to detect latent functional connectivity networks with organized topology that successfully differentiate people with SZ from HCs. Importantly, these techniques do not require a priori seed selection and allow for whole brain investigation, representing a comprehensive, data-driven approach to determining differential connectivity between diagnostic groups. Across two samples, (Sample 1: 35 SZ, 44 HC; Sample 2: 65 SZ, 79 HC), we found evidence for differential rsFC within a network including temporal and thalamic regions. Connectivity in this network was greater for people with SZ compared to HCs. In the second sample, we also found evidence for hypoconnectivity within a cingulo-opercular network of brain regions in people with SZ compared to HCs. In summary, our results replicate and extend previous studies suggesting hyperconnectivity between the thalamus and sensory cortices and hypoconnectivity between cingulo-opercular regions in people with SZ using data-driven statistical and graph theoretical techniques.

Indexed as

SchizophreniaCerebral CortexHumansMagnetic Resonance ImagingNeural PathwaysThalamusGraph theoryNeuroimagingResting state functional connectivitySchizophrenia

Identifiers

PMID33340977
PMCPMC7750447

What OpenQuestion holds

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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.