Disruptions Functional Connectivity and Information Processing in Antisocial Personality Disorder
Poster No:
446
Submission Type:
Abstract Submission
Authors:
shuaiqi Li1, Lin Li1, Huayun Li2, Xiangyu Wu3, Gang Li1, Shoujun Huang1, Sailing He1, Dexing Kong1, Wei Wang4, Weixiong Jiang1,2,5
Institutions:
1College of Mathematical Medicine, Zhejiang Normal University, Jinhua, Zhejiang 321004, China, 2School of Psychology, Zhejiang Normal University, Jinhua, Zhejiang 321004, China, 3The Research Center for Children's Literature, Zhejiang Normal University, Jinhua, Zhejiang 321004, China, 4Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, China, 5Nanbei Lake Institute for Artificial Intelligence in Medicine, Hanyan, 314300
First Author:
shuaiqi Li
College of Mathematical Medicine, Zhejiang Normal University
Jinhua, Zhejiang 321004, China
College of Mathematical Medicine, Zhejiang Normal University
Jinhua, Zhejiang 321004, China
Co-Author(s):
Xiangyu Wu
The Research Center for Children's Literature, Zhejiang Normal University
Jinhua, Zhejiang 321004, China
The Research Center for Children's Literature, Zhejiang Normal University
Jinhua, Zhejiang 321004, China
Shoujun Huang
College of Mathematical Medicine, Zhejiang Normal University
Jinhua, Zhejiang 321004, China
College of Mathematical Medicine, Zhejiang Normal University
Jinhua, Zhejiang 321004, China
Sailing He
College of Mathematical Medicine, Zhejiang Normal University
Jinhua, Zhejiang 321004, China
College of Mathematical Medicine, Zhejiang Normal University
Jinhua, Zhejiang 321004, China
Dexing Kong
College of Mathematical Medicine, Zhejiang Normal University
Jinhua, Zhejiang 321004, China
College of Mathematical Medicine, Zhejiang Normal University
Jinhua, Zhejiang 321004, China
Wei Wang
Department of Radiology, The Third Xiangya Hospital, Central South University
Changsha, Hunan, 410013, China
Department of Radiology, The Third Xiangya Hospital, Central South University
Changsha, Hunan, 410013, China
Weixiong Jiang
College of Mathematical Medicine, Zhejiang Normal University|School of Psychology, Zhejiang Normal University|Nanbei Lake Institute for Artificial Intelligence in Medicine
Jinhua, Zhejiang 321004, China|Jinhua, Zhejiang 321004, China|Hanyan, 314300
College of Mathematical Medicine, Zhejiang Normal University|School of Psychology, Zhejiang Normal University|Nanbei Lake Institute for Artificial Intelligence in Medicine
Jinhua, Zhejiang 321004, China|Jinhua, Zhejiang 321004, China|Hanyan, 314300
Introduction:
Antisocial personality disorder (APD) is characterized by behaviors that violate social norms and infringe on the rights of others, disrupting social order and public interests (Azevedo, 2020). These behaviors are often aggressive and destructive, sometimes escalating to criminal acts (McKinley, 2018). Research has identified disruptions in key brain regions involved in emotional regulation and social cognition, such as the prefrontal cortex and temporal lobe (Dugr, 2021). APD is also associated with reduced efficiency in the frontoparietal network (FPN) (Tillem, 2023) and abnormal functional connectivity, which may impair emotional regulation and decision-making (Jiang, 2017). Recent research classified brain functional interactions as synergistic or redundant, offering a novel perspective on APD through the lens of information processing (Luppi, 2022). This study employs information decomposition to investigate these interactions, aiming to uncover deeper insights into the neural mechanisms underlying APD.
Methods:
We recruited 49 participants (mean age: 22.38 ± 3.25) from Hunan Juvenile Delinquent School: 33 with APD and 16 normal controls (NC). APD was screened using the PDQ-4+ and diagnosed using the PDI-IV by two senior psychiatrists (Widiger, 1995). Resting-state fMRI data were preprocessed and segmented into 268 regions (Shen, 2013). Using the Integrated Information Decomposition method, interactions were decomposed into 16 distinct elements (Mediano, 2021), focusing on redundant (shared information) and synergistic (joint information) interactions. We analyzed these interactions and their distribution through groups comparisons. Gradients representing the balance between synergistic and redundant interactions were computed using Procrustes analysis (Xia, 2022). Group differences in connectivity and gradients were assessed at the connection and region levels using two-sample t-tests (P<0.001 for connectivity, P<0.05 for regions, uncorrected).
Results:
Significant alterations in synergistic and redundant interactions, and their balance, were found between the APD and NC groups (Fig.1). The distribution of both interaction types showed significant reductions (P<1.0e-300) in APD. Synergistic interactions exhibited greater changes, with 117 reduced connections, compared to 35 out of 36 significantly reduced redundant interactions. These changes were primarily in inter-network connections, constituting 78.63% of altered synergistic and 91.67% of altered redundant connections. Abnormal synergistic connectivity was notable within the intra-subcortical-cerebellum network and across multiple inter-network connections, excluding more connections with subcortical-cerebellum network. In contrast, redundant connectivity changes spanned four specialized networks.
The balance between synergistic and redundant interactions was also disrupted in APB (Fig.2). Nineteen connections showed reduced gradients, indicating a lower rank of synergistic compared to redundant interactions, particularly in visual association and subcortical-cerebellum areas. Conversely, 19 connections exhibited increased gradients, reflecting higher ranks of synergistic interactions, primarily in frontoparietal, motor and subcortical-cerebellum networks. Additionally, eight regions, including the hippocampus, prefrontal-parietal areas, and occipital cortex, exhibited significantly lower gradients in APD, while five regions, including the insula, precuneus, and supramarginal areas, showed higher gradients.
The balance between synergistic and redundant interactions was also disrupted in APB (Fig.2). Nineteen connections showed reduced gradients, indicating a lower rank of synergistic compared to redundant interactions, particularly in visual association and subcortical-cerebellum areas. Conversely, 19 connections exhibited increased gradients, reflecting higher ranks of synergistic interactions, primarily in frontoparietal, motor and subcortical-cerebellum networks. Additionally, eight regions, including the hippocampus, prefrontal-parietal areas, and occipital cortex, exhibited significantly lower gradients in APD, while five regions, including the insula, precuneus, and supramarginal areas, showed higher gradients.
Conclusions:
This study reveals significant reductions in synergistic and redundant interactions in APD subjects compared to NC. Gradient analysis highlights disruptions in the balance between these interactions, suggesting altered information processing in APD. These findings provide a detailed depiction of connectivity changes and regional signal disruptions in APD, offering new insights into the neural mechanisms underlying cognitive and social dysfunction in this disorder.
Disorders of the Nervous System:
Psychiatric (eg. Depression, Anxiety, Schizophrenia) 1
Emotion, Motivation and Social Neuroscience:
Social Cognition 2
Keywords:
Other - Antisocial behavior; synergistic interaction; redundant interaction; network metrics; brain dynamics
1|2Indicates the priority used for review
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2. Dugré, J. (2021). Impaired attentional and socio-affective networks in subjects with antisocial behaviors: a meta-analysis of resting-state functional connectivity studies. Psychological medicine, 51(8), 1249-1259.
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4. Luppi, A. I. (2022). A synergistic core for human brain evolution and cognition. Nature Neuroscience, 25(6), 771-782.
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