| Title |
Structural equation modeling approach between salience network dysfunction, depressed mood, and subjective quality of life in schizophrenia: an ICA resting-state fMRI study
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, June 2018
|
| DOI | 10.2147/ndt.s163132 |
| Pubmed ID | |
| Authors |
Masashi Ohta, Masahito Nakataki, Tomoya Takeda, Shusuke Numata, Takeo Tominaga, Naomi Kameoka, Hiroko Kubo, Makoto Kinoshita, Kanae Matsuura, Maki Otomo, Naoya Takeichi, Masafumi Harada, Tetsuro Ohmori |
| Abstract |
Quality 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). We 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. In 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] [x y z] = [22 -2 -6]) (p = 0.027, family-wise error [FWE] corrected). In SEM, we obtained a good fit for an SEM model in which SN dysfunction causes depressed mood, which in turn determines psychosocial aspect of subjective QOL (chi-squared p = 0.9, root mean square error of approximation (RMSEA) < 0.001, comparative fit index [CFI] = 1.00, and standardized root mean square residual [SRMR]= 0.020). We 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. |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 19% |
| Student > Master | 6 | 13% |
| Student > Bachelor | 6 | 13% |
| Researcher | 4 | 9% |
| Student > Doctoral Student | 3 | 6% |
| Other | 5 | 11% |
| Unknown | 14 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 12 | 26% |
| Medicine and Dentistry | 5 | 11% |
| Neuroscience | 4 | 9% |
| Computer Science | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 17 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 June 2018.
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#22,767,715
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Outputs from Neuropsychiatric Disease and Treatment
#2,583
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#301,103
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Outputs of similar age from Neuropsychiatric Disease and Treatment
#63
of 78 outputs
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