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Functional Brain Connectivity and Systemizing Aptitude in High-Functioning Autism: A Neuro-Cognitive Framework
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1
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| Subject:
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Autism and Brain Mapping
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Presenter Author:
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| Name:
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Arada Sarkisian
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Author:
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| Name 1:
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Arada Sarkisian - Presenter
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| Affiliation 1:
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Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
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| Name 2:
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Hamed Shafaroodi - Corresponding
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| Affiliation 2:
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Department of Pharmacology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
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Abstract
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Original Research
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introduction :
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The neurodiversity paradigm frames Autism Spectrum Disorder (ASD) not as a deficit, but as a variation in cognitive style. Despite this shift, a cohesive neuroscientific model linking functional brain mapping to specific cognitive strengths—particularly enhanced analytical and systemizing abilities—remains limited.
This study introduces a testable framework proposing that distinct patterns of functional connectivity (FC) may underlie heightened “hyper-systemizing” aptitude in adults with high-functioning ASD.
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Methods:
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Through thematic synthesis and secondary analysis of existing literature, we reviewed resting-state and task-based fMRI studies involving adults with Level 1 ASD (without intellectual disability). Special focus was placed on connectivity alterations within and across large-scale networks, emphasizing hyperconnectivity in the Dorsal Attention Network (DAN) and hypoconnectivity in the Default Mode Network (DMN).
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Results:
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Evidence suggests a consistent connectivity profile: a strengthened DAN supports sustained attention and rule-based pattern detection, while reduced DMN interference minimizes socially oriented cognitive load. Together, these dynamics may provide a neural basis for enhanced systemizing, aligning with observed strengths in domains such as data science, engineering, and other STEM fields.
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Conclusion:
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This framework suggests a shift from viewing brain mapping solely as a diagnostic tool toward its potential role in predicting cognitive strengths. The implications include designing strength-based educational approaches and exploring future applications such as personalized guidance or neurotechnologies that leverage these cognitive profiles.
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| Attachment:
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| Keywords:
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Autism Spectrum Disorder, Brain Mapping, Biomarkers, Neuropsychology, Functional Magnetic Resonance Imaging, Electroencephalography
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| Key message:
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