Evidence of neurocognitive and resting state functional connectivity differences in carriers of NRXN1 deletions
Bibliographic record
Abstract
BACKGROUND: NRXN1 deletion (NRXN1 del) is a rare copy number variant associated with several neurodevelopmental, neuropsychiatric, and cognitive outcomes. The NRXN1 gene encodes for a pre-synaptic cell adhesion molecule that is important for synapse formation, regulation and neurotransmission. We used a gene-first approach to investigate neurocognitive and brain phenotypes in NRXN1 del carriers. METHODS: Forty-two participants (21 NRXN1 del carriers and 21 neurotypical age and sex-matched comparisons) completed IQ assessments, and a neurocognitive battery, including, executive function, attention, and social cognition tasks. Magnetic resonance imaging (MRI) data, including T1-weighted anatomical scans, resting state functional MRI and diffusion tensor imaging, were acquired in 36 participants (17 NRXN1 del carriers and 19 comparisons). RESULTS: NRXN1 del carriers had lower mean IQ and poorer spatial working memory performance compared to comparisons (p ≤ 0.05). Neuroimaging results revealed group differences in visual and ventral attention resting state networks (p < 0.05). Network-based statistical analysis showed a significant effect of group status for 28/115 connections, with poorer segregation between visual and default networks in NRXN1 del carriers relative to comparisons. No differences in brain structural volume or cortical thickness, or diffusion measures of white matter structural architecture were observed between groups. CONCLUSIONS: This exploratory study provides evidence for neurocognitive impacts and brain functional differences related to underlying synaptic mechanisms. Brain functional differences in NRXN1 del carriers may support altered excitation/inhibition dynamics within the brain. Gene-first approaches may establish brain-based translational markers to identify neurobiologically informed subgroups within neurodevelopmental and neuropsychiatric conditions, and ultimately transdiagnostic therapeutic strategies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".