Ventral temporal and posteromedial sulcal morphology in autism spectrum disorder
Bibliographic record
Abstract
Abstract Two recent parallel research tracks link tertiary sulcal morphology—sulci that emerge last in gestation and continue to develop after birth—with functional features of the cerebral cortex and cognition, respectively. The first track identified a relationship between the mid-fusiform sulcus (MFS) in ventral temporal cortex (VTC) and cognition in individuals with Autism Spectrum Disorder (ASD). The second track identified a new tertiary sulcus, the inframarginal sulcus (IFRMS), that serves as a tripartite landmark within the posteromedial cortex (PMC). As VTC and PMC are structurally and functionally different in individuals with ASD compared to neurotypical controls (NTs), here, we integrated these two tracks with a twofold approach. First, we tested if there are morphological differences in VTC and PMC sulci between 50 NTs and 50 individuals with ASD. Second, we tested if tertiary sulcal morphology was linked to cognition in ASD individuals. Our twofold approach replicates and extends recent findings in five ways. First, in terms of replication, the standard deviation (STD) of MFS cortical thickness (CT) was increased in ASDs compared to NTs. Second, MFS length was shorter in ASDs compared to NTs. Third, the CT STD effect extended to other VTC and PMC sulci. Fourth, a subset of VTC and PMC morphological features were correlated between regions in ASD. Fifth, IFRMS depth was negatively associated with ADOS-GS score. These results empirically support a relationship between later-developing, tertiary sulci and ASD, providing a novel framework to study the relationship between brain structure and cognition in additional neurodevelopmental disorders in future studies. Lay Summary We observed that some, but not all, morphological features of later-developing tertiary indentations (sulci) in the cerebral cortex differed significantly between neurotypical controls and individuals with autism spectrum disorder (ASD). In ASD, a subset of sulcal morphological features also correlated between brain areas and one feature reflected differences in cognition. Thus, studying these structures provides insight into how individual variability in structure is related to individual variability in cognition in ASD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".