Poster No:
654
Submission Type:
Abstract Submission
Authors:
Yifan Wang1, Wanyi Li1, Wenjuan Fu1, Yujia Meng1, SH Annabel Chen2, Haijun Duan1
Institutions:
1Shaanxi Normal University, Xi'an, Shaanxi, 2Nanyang Technological University, Singapore, Not applicable
First Author:
Yifan Wang
Shaanxi Normal University
Xi'an, Shaanxi
Co-Author(s):
Wanyi Li
Shaanxi Normal University
Xi'an, Shaanxi
Wenjuan Fu
Shaanxi Normal University
Xi'an, Shaanxi
Yujia Meng
Shaanxi Normal University
Xi'an, Shaanxi
Introduction:
Throughout evolution, humans have developed a pronounced social nature. The instinct for social cooperation is essential for forming bonds that address challenges and fulfill needs for belongingness and intimacy. Degeneration of social behavior is typically a concomitant symptom in various psychiatric disorders, closely associated with the progression of the disease. Among these disorders, drug addiction induces uncontrollable and compulsive drug-seeking behavior, while suppressing engagement in social or recreational activities. Clinical cases frequently revealed that individuals with addiction exhibited diminished social engagement, disrupted interpersonal relationships, and increased social isolation, alongside heightened impulsivity and aggression, posing a substantial threat to social stability. These symptoms of social dysfunction led by recurrent intoxication are well-established diagnostic criteria for drug dependence. Despite this, the precise nature of social interaction deficits and cooperative behavior abnormalities underlying social deterioration, along with their neural correlates, remains poorly understood. This gap in understanding limits the development of effective clinical treatment and obscures the broader societal impact of addiction.
Methods:
Taking heroin use disorder (HUD) as the typical representative, the objective assessment of the collaborative behaviors was conducted in a joint drawing task focusing on social interaction in a dyadic context. The cortical activities over the right temporoparietal junction (rTPJ) would be detected using functional near-infrared spectroscopy (fNIRS). To further clarify the direct correspondence between the aberrant TPJ activity and collaborative difficulties, we applied multiple-session transcranial direct current stimulation (tDCS) to activate the rTPJ and tracked the behavioral and neurophysiological changes during cooperative interactions after treatment. 32 individuals from the HUD group and 30 healthy controls were enrolled. In the tDCS sessions, 40 patients with HUD were retained and randomly assigned to either the active group or the sham group. All participants were paired with a confederate to form two-person dyads. A stimulus intensity of 1.5 mA was used. The true stimulus lasted for 20 min with a 30-s fade-in and a 30-s fade-out. HUD patients received five stimulation sessions within one week, with a minimum interval of 24 hours between each session.
Results:
Compared to the healthy controls, HUD patients exhibited poor performance in interpersonal collaboration. Abnormal activation and disrupted neural synchronization centered on the rTPJ underlie impaired cooperative performance in HUD patients. These features served as reliable potential neurophysiological markers for classification and prediction. Activating rTPJ through tDCS effectively improved the interpersonal collaborative behavior of HUD patients by improving abnormal neural activity patterns and enhancing interpersonal neural synchronization. tDCS targeting the rTPJ enhanced intra-brain and inter-brain dynamic connectivity between the rTPJ and the PFC to achieve the interaction between intention perception and action execution.
Conclusions:
This study explored the cooperative behavior in HUD during interpersonal interactions and its neural correlates associated with damage centered on the rTPJ. These findings demonstrate the detrimental impact of HUD on cooperative behavior and highlight the TPJ as a promising target for clinical intervention in social behavior. Additionally, the results support network-based modulation in neuroregulatory interventions and validate the neural computational model of interpersonal dysfunction in psychiatric disorders, marking a significant step forward in the diagnosis and intervention of social functioning in neurological diseases.
Brain Stimulation:
TDCS
Disorders of the Nervous System:
Psychiatric (eg. Depression, Anxiety, Schizophrenia) 2
Emotion, Motivation and Social Neuroscience:
Social Interaction 1
Novel Imaging Acquisition Methods:
NIRS
Physiology, Metabolism and Neurotransmission:
Cerebral Metabolism and Hemodynamics
Keywords:
Addictions
Near Infra-Red Spectroscopy (NIRS)
Social Interactions
Other - Noninvasive brain stimulation
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.
Task-activation
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?
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.
Yes
Please indicate which methods were used in your research:
Other, Please specify
-
fNIRS, tDCS
For human MRI, what field strength scanner do you use?
If Other, please list
-
Not use of human MRI
Which processing packages did you use for your study?
Other, Please list
-
matlab
Provide references using APA citation style.
Christie, N. C. (2021). The role of social isolation in opioid addiction. Social cognitive and affective neuroscience, 16(7), 645-656.
Pan, Y. (2023). The interpersonal computational psychiatry of social coordination in schizophrenia. The Lancet Psychiatry, 10(10), 801-808.
Schilbach, L., & Redcay, E. (2024). Synchrony Across Brains. Annual Review of Psychology, 76.
Xie, H., Karipidis, I. I., Howell, A., Schreier, M., Sheau, K. E., Manchanda, M. K., ... & Saggar, M. (2020). Finding the neural correlates of collaboration using a three-person fMRI hyperscanning paradigm. Proceedings of the National Academy of Sciences, 117(37), 23066-23072.
No