Posterior default mode network is associated with the social performance in male children with autism spectrum disorder: A dynamic causal modeling analysis based on triple network model



Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by a range of challenges, including difficulties with social interaction and communication. Understanding the underlying mechanisms of these social struggles is crucial for developing effective interventions. A recent study published in June 2024 in the journal “Human Brain Mapping” offers new insights into this area. The title of the research paper is “Posterior default mode network is associated with the social performance in male children with autism spectrum disorder: A dynamic causal modeling analysis based on triple network model.”


Unveiling the Brain’s Functional Networks


Our brains are intricate networks of interconnected regions that work together to control various functions. The study utilizes the concept of the “triple network model,” which proposes three key networks involved in distinct cognitive processes. These networks are:

  • Default Mode Network (DMN): Active during introspection and self-referential processing, including tasks related to social cognition, such as theory of mind (understanding the mental states of others). The DMN can be further divided into anterior (aDMN) and posterior (pDMN) sections.
  • Salience Network (SN): Responsible for detecting important stimuli and directing attentional resources.
  • Executive Control Network (ECN): Involved in planning, decision-making, and inhibitory control.

Decoding Brain Connectivity in ASD


The researchers recruited 81 male children diagnosed with ASD and 80 typically developing males. To investigate the functional connectivity within these networks, they employed a technique called dynamic causal modeling (DCM). This technique analyzes resting-state functional magnetic resonance imaging (fMRI) data. fMRI measures brain activity indirectly by detecting blood flow changes in different brain regions. DCM goes beyond simply measuring activity; it explores the causal interactions and information flow between brain regions.

Weaker Self-Regulation and Network Imbalance in ASD


The study’s core finding revolves around the differences observed in brain network connectivity between the ASD and control groups. The ASD group exhibited weaker self-regulation within the pDMN compared to the control group. This suggests that the pDMN in individuals with ASD might be less efficient in managing its own activity. Additionally, the communication between the DMN and other networks, specifically the Salience Network (SN) and Executive Control Network (ECN), was imbalanced in the ASD group. This imbalanced communication could potentially disrupt the flow of information necessary for social cognition and interaction.

The pDMN and Social Performance: A Potential Connection


Interestingly, the research revealed a significant correlation between the strength of self-regulation within the pDMN and social performance scores in the ASD group. There was a negative correlation, meaning weaker self-regulation in this brain region was associated with greater social difficulties. This suggests that the pDMN’s ability to manage its own activity might play a crucial role in social interaction skills in ASD.

A Piece of the Puzzle: The pDMN’s Potential Role in ASD


This research provides valuable insights into the potential role of the posterior default mode network (pDMN) in social challenges faced by individuals with ASD. The observed weaker self-regulation and imbalanced communication within the network in the ASD group could be underlying mechanisms for these difficulties. It’s important to remember that correlation doesn’t necessarily imply causation. More research is needed to solidify these findings and explore whether improving the pDMN’s function could lead to better social outcomes in ASD.


Looking Forward: Exploring the Broader Landscape


While the study sheds light on potential brain mechanisms in male children with ASD, some limitations need to be considered. The research focused on a specific group and future studies should explore if similar patterns hold true for females and adults with ASD. Additionally, more investigation is required to understand the causal nature of the observed relationships. Can interventions targeting the pDMN improve social skills in ASD? These are crucial questions that future research needs to address.

Overall, this study offers a promising step forward in understanding the neurological basis of social challenges in ASD. By unraveling the intricate workings of brain networks, researchers are paving the way for developing more targeted interventions to improve social interaction skills in individuals with ASD.



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