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PreprintCC BY-NC-NDbioRxiv

Synaptic density imaging associates with performance but not self-report in autism

  1. 1Center for Brain and Mind Health, Yale University, New Haven, CT; Child Study Center, Yale University, New Haven, CT

Abstract

Autism is a common neurodevelopmental condition with considerable between-person variability and unknown biological etiology. Diagnosis of autism in adults relies on measurement of performance (e.g., clinician rating of social behavior, standardized assessment of cognition) and self-report of autism features. Our prior work revealed a strong relationship between clinician ratings of social function in autism and in vivo measures of synaptic density as measured by [11C]UCB-J PET (Matuskey et al., 2025). However, it is not understood how the measured aspects of the autism phenotype index underlying biology. Here, in a sample of 12 autistic adults, we address this question by relating synaptic density imaging to a range of performance measures, such as cognition and face recognition, in contrast to self-report measures. Our results identify a dissociation between these measurement types in that synaptic density correlates strongly with measures of performance but shows virtually no relationship with self-report. These findings suggest that, while self-report and performance measures share variance in characterizing phenotypes in autism, they diverge when mapping onto the underlying biology. Results suggest that higher synaptic density may index a general mechanism that facilitates social and cognitive performance across a range of tasks. These data also indicate that performance and self-report measures are not interchangeable in capturing brain-behavior correspondences in autism, a finding that can guide measure selection in future biomarker studies and clinical research.

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BibTeX
@misc{naples2026synaptic,
  title = {{Synaptic density imaging associates with performance but not self-report in autism}},
  author = {A. J. Naples and S. Cayir and C. cukar-capizzi and J. M. Wolf and J. E. Mcclelland and E. C. Robertson and S. S. Sawant and D. Matuskey and J. McPartland},
  howpublished = {bioRxiv},
  year = {2026},
  month = oct,
  doi = {10.64898/2026.10.05.755105},
  url = {https://www.biorxiv.org/content/10.64898/2026.10.05.755105v1},
  note = {CC BY-NC-ND},
}
RIS
TY  - UNPB
TI  - Synaptic density imaging associates with performance but not self-report in autism
AU  - A. J. Naples
AU  - S. Cayir
AU  - C. cukar-capizzi
AU  - J. M. Wolf
AU  - J. E. Mcclelland
AU  - E. C. Robertson
AU  - S. S. Sawant
AU  - D. Matuskey
AU  - J. McPartland
PY  - 2026
DA  - 2026/10/05
PB  - bioRxiv
DO  - 10.64898/2026.10.05.755105
UR  - https://www.biorxiv.org/content/10.64898/2026.10.05.755105v1
AB  - Autism is a common neurodevelopmental condition with considerable between-person variability and unknown biological etiology. Diagnosis of autism in adults relies on measurement of performance (e.g., clinician rating of social behavior, standardized assessment of cognition) and self-report of autism features. Our prior work revealed a strong relationship between clinician ratings of social function in autism and in vivo measures of synaptic density as measured by [11C]UCB-J PET (Matuskey et al., 2025). However, it is not understood how the measured aspects of the autism phenotype index underlying biology. Here, in a sample of 12 autistic adults, we address this question by relating synaptic density imaging to a range of performance measures, such as cognition and face recognition, in contrast to self-report measures. Our results identify a dissociation between these measurement types in that synaptic density correlates strongly with measures of performance but shows virtually no relationship with self-report. These findings suggest that, while self-report and performance measures share variance in characterizing phenotypes in autism, they diverge when mapping onto the underlying biology. Results suggest that higher synaptic density may index a general mechanism that facilitates social and cognitive performance across a range of tasks. These data also indicate that performance and self-report measures are not interchangeable in capturing brain-behavior correspondences in autism, a finding that can guide measure selection in future biomarker studies and clinical research.
ER  -