Altered developmental profile of the cortical head-direction signal in a rat model of Fragile X Syndrome
Bibliographic record
Abstract
Abstract Fragile X Syndrome (FXS) is a common inherited monogenic cause of autism spectrum disorder and intellectual disability (ASD/ID), but the neural mechanisms underlying its symptoms remain unclear. Here, we investigate the development of the head-direction (HD) system in a rat model of FXS ( Fmr1 −/y rats) and its role in spatial cognition. Using high-density silicon probes, we recorded neuronal activity in the postsubiculum (PoSub), a cortical hub of the HD system, during exploration and sleep in juvenile and adult Fmr1 −/y and wild-type (WT) rats. Surprisingly, juvenile Fmr1 −/y rats exhibited enhanced HD tuning characterized by sharper directional tuning curves and improved stability of the HD signal in relation to the external environment. This enhancement was intrinsic to the HD circuit and persisted across behavioral and sleep states. However, by adulthood, HD tuning in Fmr1 −/y rats became unstable, with increased drift in the allocentric reference frame despite intact intrinsic HD dynamics. These findings reveal a transient enhancement of spatial coding in the HD system of juvenile Fmr1 −/y rats, followed by a degradation in adulthood, mirroring the developmental regression often observed in autism. Overall, our work reveals network-level dysfunctions in FXS and their developmental trajectories.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".