The resting-state EEG correlates of delusion-prone experiences in healthy young adults

Poster No:

830 

Submission Type:

Abstract Submission 

Authors:

Wei-Lun Chang1,2, Hoi Yan Mak3, Hsu-Wen Huang2,3, Chih-Mao Huang1,3

Institutions:

1Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Taiwan, 2Center for intelligent Drug Systems and Smart Bio-devices (IDS2B), National Yang Ming Chiao Tung University, Taiwan, 3National Center for Geriatrics and Welfare Research, National Health Research Institutes, Taiwan

First Author:

Wei-Lun Chang  
Department of Biological Science and Technology, National Yang Ming Chiao Tung University|Center for intelligent Drug Systems and Smart Bio-devices (IDS2B), National Yang Ming Chiao Tung University
Taiwan|Taiwan

Co-Author(s):

Hoi Yan Mak  
National Center for Geriatrics and Welfare Research, National Health Research Institutes
Taiwan
Hsu-Wen Huang  
Center for intelligent Drug Systems and Smart Bio-devices (IDS2B), National Yang Ming Chiao Tung University|National Center for Geriatrics and Welfare Research, National Health Research Institutes
Taiwan|Taiwan
Chih-Mao Huang  
Department of Biological Science and Technology, National Yang Ming Chiao Tung University|National Center for Geriatrics and Welfare Research, National Health Research Institutes
Taiwan|Taiwan

Introduction:

Delusion is a mental state of fixed false beliefs that conflict with an external reality. Delusions have been identified as one of the main symptoms in the assessment of mental illness. Previous studies investigating neurocognitive mechanisms associated with delusions have focused on patients with mental disorders, but research focusing on healthy individuals who may have delusion-prone experiences remains limited. This study aims to examine whether and how delusion-prone experiences modulate neurophysiological signals in healthy young adults using behavioral task and resting-state electroencephalogram (EEG) technique.

Methods:

Twelve healthy young adults (4 females, 8 males; age range 20-27 years, mean = 24 ± 1.74 years; education, 16.6 ± 1.59 years) participated in this EEG study. All participants completed the 21-item version of the Peters Delusional Inventory to assess their level of delusional ideation (Peters et al., 1999). Each item is answered with a yes or no, and participants rate their responses along three dimensions: distress (1 = not at all distressing, 5 = very distressing), preoccupation (1 = hardly ever think about it, 5 = think about it all the time), and conviction (1 = don't believe it's true, 5 = absolutely believe it's true). Based on the median yes/no score of the PDI, participants were divided into two groups: high delusional ideation group (DLE, n = 5; mean = 146.57 ± 42.94) and low delusional ideation group (NDLE, n = 7;mean = 24 ± 5.22).
A behavioral task using the modified Mnemonic Similarity Task (MST) was designed to assess false memory performance(Leger et al., 2024). In the encoding phase, participants viewed 128 images of real objects and categorized them as 'inside' or 'outside'. After 30 min of rest, a surprise recognition test was administered in which participants identified 192 images as 'old' or 'new'.
Resting-state EEG was recorded from each participant with a 32-electrode cap using the CURRY9 system. Each EEG recording lasted 10 minutes at a sampling rate of 1024 Hz. EEG signals were amplified, filtered, and digitized with impedances maintained below 5 kΩ. EEG data were preprocessed using EEGLAB v.2024.2.1 and analyzed for spectral power in frequency band using Fast Fourier Transform (FFT).

Results:

The resting-state EEG results showed that the DLE group had significantly increased resting-state EEG activity across several frequency spectrums, including theta, alpha, beta, and gamma bands. In particular, hyperactivity in the theta and gamma bands was observed in frontal, central, and occipital regions in the DLE group (Figure. 1).
The analysis of the MST task followed the methods described by Stark et al. (2015), in which three d' and c response bias types (target-foil, lure-foil, and target-lure) were calculated. In the regression analysis, the P value for the lure-foil c response bias was 0.048 (p < 0.05), indicating a conservative bias towards responding "new" between lure and foil in the DLE group. All other variables had P values greater than 0.05 and did not reach statistical significance.
Supporting Image: fig1_OHBM.png
   ·Figure. 1. The EEG spectral power for DLE and NDLE subjects is presented.
 

Conclusions:

These preliminary results provide neurophysiological evidence that the resting state EEG frequency power spectrum may serve as a psychological and/or neurocognitive marker to assess delusion-prone experiences in the healthy populations and suggest a differential mechanism between delusional experiences and false memory, both of which involve the endorsement of distorted representations of external reality.

Learning and Memory:

Learning and Memory Other 1

Novel Imaging Acquisition Methods:

EEG 2

Keywords:

Electroencephaolography (EEG)
Memory
Other - delusion

1|2Indicates the priority used for review

Abstract Information

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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):

Healthy subjects

Was this research conducted in the United States?

No

Were any human subjects research approved by the relevant Institutional Review Board or ethics panel? NOTE: Any human subjects studies without IRB approval will be automatically rejected.

Yes

Were any animal research approved by the relevant IACUC or other animal research panel? NOTE: Any animal studies without IACUC approval will be automatically rejected.

Not applicable

Please indicate which methods were used in your research:

EEG/ERP
Behavior

Provide references using APA citation style.

Çetin, O. G., & Irak, M. (2021). Relationships between delusion-like experiences, lack of control, pattern perception, and decision making. Imagination, Cognition and Personality, 41(1), 105-129.
Filosa, M., De Rossi, E., Carbone, G. A., Farina, B., Massullo, C., Panno, A., Adenzato, M., Ardito, R. B., & Imperatori, C. (2024). Altered connectivity between the central executive network and the salience network in delusion-prone individuals: A resting state eLORETA report. Neuroscience Letters, 825, 137686.
Laws, K. R., & Bhatt, R. (2005). False memories and delusional ideation in normal healthy subjects. Personality and Individual Differences, 39(4), 775-781.
Leger, K. R., Cho, I., Valoumas, I., Schwartz, D., Mair, R. W., Goh, J. O. S., & Gutchess, A. (2024). Cross-cultural comparison of the neural correlates of true and false memory retrieval. Memory, 1-18.
Peters, E. R., Joseph, S. A., & Garety, P. A. (1999). Measurement of delusional ideation in the normal population: introducing the PDI (Peters et al. Delusions Inventory). Schizophrenia bulletin, 25(3), 553-576.
Stark, S. M., Stevenson, R., Wu, C., Rutledge, S., & Stark, C. E. (2015). Stability of age-related deficits in the mnemonic similarity task across task variations. Behavioral neuroscience, 129(3), 257.

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