Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
Altered Sensorimotor-Association Axis Patterning of Global Functional Connectivity in an Autism Subtype With Low Levels of Language, Intellectual, and Adaptive Functioning.
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Severino Ines, Mandelli Veronica, Bertelsen Natasha, Lombardo Michael V
Аннотация
BACKGROUND: During early development, autism can be stratified into subtypes differentiated by non-core language, intellectual, motor, and adaptive functioning features. During toddlerhood, these subtypes show different genomic patterning effects on brain structure and function that follow early primary axes of neurodevelopmental organization. This leads to the hypothesis that early cortical patterning differences may continue to be evident between subtypes in later development within hierarchical organization along the sensorimotor-association (S-A) axis.
METHODS: Standardized phenotypic measures from the National Institute of Mental Health Data Archive (n = 419) were used in unsupervised data-driven clustering analyses to build a phenotypic stratification model based on language, intellectual, and adaptive functioning (LIAF) features. This stratification model was then applied to independent multi-site resting-state functional magnetic resonance imaging datasets (autism n = 174; typically developing [TD] n = 185) to test for subtype differences in global functional connectivity. Mass univariate and multivariate patterning analyses were used to test for differences between TD and autism subtypes.
RESULTS: Clustering revealed 2 phenotypically distinct autism subtypes (high vs. low) in late childhood to adulthood that generalized in independent data with 92% accuracy. Autism was associated with hyper-connectivity in association areas alongside hypo-connectivity in sensorimotor areas. However, these differences were most pronounced in the TD versus autism low LIAF group comparison and resembled patterning effects that follow the SA axis.
CONCLUSIONS: These findings suggest that cortical patterning of global functional connectivity along the S-A axis is different in autistic children compared with TD children and may be relatively more pronounced in autism with low LIAF features.
METHODS: Standardized phenotypic measures from the National Institute of Mental Health Data Archive (n = 419) were used in unsupervised data-driven clustering analyses to build a phenotypic stratification model based on language, intellectual, and adaptive functioning (LIAF) features. This stratification model was then applied to independent multi-site resting-state functional magnetic resonance imaging datasets (autism n = 174; typically developing [TD] n = 185) to test for subtype differences in global functional connectivity. Mass univariate and multivariate patterning analyses were used to test for differences between TD and autism subtypes.
RESULTS: Clustering revealed 2 phenotypically distinct autism subtypes (high vs. low) in late childhood to adulthood that generalized in independent data with 92% accuracy. Autism was associated with hyper-connectivity in association areas alongside hypo-connectivity in sensorimotor areas. However, these differences were most pronounced in the TD versus autism low LIAF group comparison and resembled patterning effects that follow the SA axis.
CONCLUSIONS: These findings suggest that cortical patterning of global functional connectivity along the S-A axis is different in autistic children compared with TD children and may be relatively more pronounced in autism with low LIAF features.