Evidence map›Paper›PMID 29942132›Full record

ArticleNeuropsychiatric disease and treatment2018

Structural equation modeling approach between salience network dysfunction, depressed mood, and subjective quality of life in schizophrenia: an ICA resting-state fMRI study.

Masashi Ohta, Masahito Nakataki, Tomoya Takeda, Shusuke Numata, Takeo Tominaga, Naomi Kameoka, Hiroko Kubo, Makoto Kinoshita, Kanae Matsuura, Maki Otomo and 3 more

Abstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Triple-Network Functional Connectivity in Adolescents With Autism Spectrum Disorder Compared to Early-Onset Psychosis.Autism research : official journal of the International Society for Autism Research · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Enhancing ERP Responsiveness Through Big Data Technologies: An Empirical Investigation.Information systems frontiers : a journal of research and innovation · 2023
    Article
  7. Article
  8. Review
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

13 authors.

Masashi OhtaDepartment of Psychiatry, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Masahito NakatakiDepartment of Psychiatry, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Tomoya TakedaDepartment of Psychiatry, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Shusuke NumataDepartment of Psychiatry, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Takeo TominagaDepartment of Psychiatry, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Naomi KameokaDepartment of Psychiatry, Tokushima University Hospital, Tokushima, Japan.
Hiroko KuboDepartment of Psychiatry, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Makoto KinoshitaDepartment of Psychiatry, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Kanae MatsuuraDepartment of Psychiatry, Tokushima University Hospital, Tokushima, Japan.
Maki OtomoDepartment of Radiology and Radiation Oncology, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Naoya TakeichiDepartment of Radiology, Tokushima University Hospital, Tokushima, Japan.
Masafumi HaradaDepartment of Radiology and Radiation Oncology, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Tetsuro OhmoriDepartment of Psychiatry, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeQuality of life (QOL) is an important clinical outcome for patients with schizophrenia, and recent studies have focused on subjective QOL. We evaluated the causal relationship between psychosocial aspect of subjective QOL, symptoms, cognitive functions, and salience network (SN) dysfunction in schizophrenia using structural equation modeling (SEM). PATIENTS AND

methodsWe performed a cross-sectional study of 21 patients with symptomatically stabilized schizophrenia and 21 age-, sex-, and education level-matched healthy controls who underwent resting-state functional magnetic resonance imaging. We evaluated SN dysfunction in schizophrenia using independent component analysis (ICA). We rated participant psychopathology using the Positive and Negative Syndrome Scale (PANSS), the Brief Assessment of Cognition in Schizophrenia (BACS), and the Calgary Depression Scale for Schizophrenia (CDSS). We rated psychosocial aspect of subjective QOL using the Schizophrenia Quality of Life Scale (SQLS) psychosocial subscale. We applied SEM to examine the relationships between SN dysfunction, PANSS positive and negative scores, CDSS total scores, BACS composite scores, and SQLS psychosocial subscale scores.

resultsIn second-level analysis after group ICA, patient group had significant lower right pallidum functional connectivity (FC) within the SN than the controls did (Montreal Neurological Institute [MNI] [

conclusionWe found a continuous process by which SN dysfunction causes depressed moods that determine psychosocial aspect of subjective QOL in schizophrenia. This is the first report that offers a unified explanation of functional neuroimaging, symptoms, and outcomes. Future studies combining neuroimaging techniques and clinical assessments would elucidate schizophrenia's pathogenesis.

Indexed as

depressed moodresting-state fMRIsalience networkschizophreniastructural equation modelingsubjective quality of life

Identifiers

PMID29942132
PMCPMC6007191

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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.