Poster No:
516
Submission Type:
Abstract Submission
Authors:
Ya Wang1, Xuchen Yu1, Jiali Liu2, Tao Chen3
Institutions:
1Capital Normal University, Beijing, Beijing, 2Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, 3The University of Sydney, Sydney, New South Wales
First Author:
Ya Wang
Capital Normal University
Beijing, Beijing
Co-Author(s):
Xuchen Yu
Capital Normal University
Beijing, Beijing
Jiali Liu
Affiliated Hospital of Zunyi Medical University
Zunyi, Guizhou
Tao Chen
The University of Sydney
Sydney, New South Wales
Introduction:
Balanced time perspective (BTP) refers to the ability to flexibly shift between different temporal frames (e.g., past, present and future) under an adaptive manner according to the current situations (Boniwell & Zimbardo, 2015). BTP has been suggested to be associated with neural activity in the default mode network (DMN) and the precuneus (Chen et al., 2022). Compared to healthy controls, patients with schizophrenia exhibit a reduced BTP, which can further predict a decrease in their global functioning (Stolarski et al., 2024). However, few studies have examined the underlying neural correlates related to BTP in patients with schizophrenia. To address this issue, the current study aimed to examine whether patients with schizophrenia exhibit altered patterns in resting-state functional connectivity associated with BTP.
Methods:
Fifty-six inpatients with schizophrenia (SCZ group, 12 females, Mage = 39.14, SD = 9.76) and 39 healthy controls (HC group, 9 females, Mage = 36.67, SD = 12.80) were recruited and underwent resting-state brain imaging scanning and completed a questionnaire measuring the deviation from BTP (DBTP). We selected 19 regions of interest (ROIs) with a radius of 5mm in the DMN that are distributed among bilateral hemispheres, as well as an additional ROI (Precuneus) closely related to DBTP. To investigate the disparities in functional connectivity patterns associated with DBTP between the SCZ and the HC groups, a group-level multiple regression analysis was implemented using the CONN toolbox. Fisher's Z-value maps for each ROI were included in the regression model, with Group and DBTP score serving as the predictors, and age, gender, IQ, and years of education serving as covariates.
Results:
The associations between seed-based functional connectivity and BTP were calculated in the SCZ and the HC groups. The two groups showed significant difference in four correlations. (1) the correlation between the functional connectivity of "left hippocampus formation - right central opercular cortex" and the DBTP score (t = 5.63, PFWE = .008). The association was negative in the HC group (r = −.61, P < .001), and positive in the SCZ group (r = .27, P = .047). (2) the correlation between the functional connectivity of "right hippocampus formation - left posterior cingulate gyrus" and the DBTP score (t = 4.91, PFWE = .008). There was no significant association in the SCZ group (r = .23, P = .084), but there was a negative association in the HC group (r = -.70, P < .001). (3) the correlation between the functional connectivity of "right temporal pole - right middle temporal gyrus" and the DBTP score (t = -5.26, PFWE = .002). The association was positive in the HC group (r = .54, P < .001), and negative in the SCZ group (r = -.47, P < .001). (4) the correlation between the functional connectivity of "Precuneus - right paracingulate gyrus" and the DBTP score (t = 5.53, PFWE < .001). The association was negative in the HC group (r = -.58, P < .001), and positive in the SCZ group (r = .37, P = .005).

·Fig 1. Group difference in association between DBTP and functional association between hippocampus formation and other areas

·Fig 2. Group difference in association between DBTP and functional association between temporal pole, precuneus and other areas
Conclusions:
The findings suggest that compared with HC, SCZ exhibited altered associations between BTP and functional connectivity. The functional connectivity involved key regions associated with mental time travel, processing of episodic details, mental imagery, and reality monitoring. The functional connectivity disturbances in the SCZ group may be caused by abnormal processing of emotional memory details and immersion in mental imagery, which are detrimental to BTP. The present study could enhance our understanding of the neural correlates of BTP, and aid in the selection of neural modulation intervention targets to improve BTP in patients with schizophrenia.
Disorders of the Nervous System:
Psychiatric (eg. Depression, Anxiety, Schizophrenia) 1
Higher Cognitive Functions:
Space, Time and Number Coding 2
Modeling and Analysis Methods:
fMRI Connectivity and Network Modeling
Keywords:
MRI
Psychiatric
Psychiatric Disorders
Schizophrenia
1|2Indicates the priority used for review
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Please indicate below if your study was a "resting state" or "task-activation” study.
Resting state
Healthy subjects only or patients (note that patient studies may also involve healthy subjects):
Patients
Was this research conducted in the United States?
No
Were any human subjects research approved by the relevant Institutional Review Board or ethics panel?
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Were any animal research approved by the relevant IACUC or other animal research panel?
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Please indicate which methods were used in your research:
Functional MRI
For human MRI, what field strength scanner do you use?
3.0T
Provide references using APA citation style.
Boniwell, I., & Zimbardo, P. (2015). Balancing time perspective in pursuit of optimal functioning. In P. A. Linley, & S. Joseph (Eds.). Positive psychology in practice (pp.165–178). Hoboken, NJ: John Wiley & Sons.
Chen, T., Huang, J., Cui, J., Li, Z., Wang, Y., Irish, M., & Chan, R. C. K. (2022). Functional Coupling between the Fronto-Parietal Network and Default Mode Network Is Associated with Balanced Time Perspective. Brain Sciences, 12(9), 1201. https://doi.org/10.3390/brainsci12091201
Stolarski, M., Czajkowska-Łukasiewicz, K., Styła, R., & Zajenkowska, A. (2024). Time matters for mental health: a systematic review of quantitative studies on time perspective in psychiatric populations. Current opinion in psychiatry, 37(4), 309–319. https://doi.org/10.1097/YCO.0000000000000942
No