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Record W4415170283 · doi:10.1101/2025.10.13.682100

Early developmental characterization of gap-induced prepulse inhibition and habituation in the Fragile X Syndrome mouse model

2025· preprint· en· W4415170283 on OpenAlexafffund
Xiuping Liu, Kartikeya Murari, Jun Yan, Ning Cheng

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaAlberta Children's Hospital Research InstituteFRAXA Research Foundation
KeywordsHabituationPrepulse inhibitionStartle responseAcoustic Startle ReflexSensory gatingMoro reflexFragile X syndromeStartle reaction

Abstract

fetched live from OpenAlex

Abstract Introduction Atypical sensory processing, particularly auditory hypersensitivity, is a common and debilitating phenotype of Fragile X Syndrome (FXS). Electrophysiology studies in FMR1- knockout (KO) mice previously observed hyperexcitability at the auditory cortex (AC), with enhanced neuronal firing to auditory stimuli. Prepulse inhibition (PPI), a behavioral measure of sensorimotor gating, is robustly impaired in FXS individuals. Interestingly, a related paradigm called gap-induced inhibition of the acoustic startle (GPIAS) is mediated by the AC, and a previous study observed decreased GPIAS in mature FMR1- KO mice. Further, habituation is also an important sensory filtering mechanism, which has been reported to be impaired in mature FMR1- KO mice. However, not much is known about GPIAS and habituation in FMR1- KO mice during early development. Methods We evaluated GPIAS in male and female FMR1- KO mice at post-natal days 15 (P15), 20 (P20) and 30 (P30). The paradigm consisted of a prepulse stimulus (a gap in a continuous background noise) followed by a startle stimulus, with an inter-stimulus interval of 50 or 100 ms. Habituation was assessed prior to the GPIAS trials, with a series of startle only stimulus. Results We observed a trend for genotype difference in acoustic startle response (ASR) magnitude, particularly in the female mice at P30. No significant genotype differences were noted in GPIAS or latency of ASR. Response duration was significantly increased in the male FMR1 -KO mice compared to their WT counterparts during early development. Significant genotype differences were also observed in habituation and sensitization. In terms of development, we observed a significant increase in GPIAS with maturation. Furthermore, we also observed significant changes in the magnitude, response latency and duration of ASR with maturation. Finally, significant sex differences were observed in ASR magnitude and duration. Conclusion Our findings suggest that behavioral responses to auditory stimuli are dynamic during development and differ between females and males, an important consideration for future study design. Additionally, the FMR1- KO mice display habituation deficits during early development, which could be an ideal window for addressing auditory hypersensitivity in FXS.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.013
GPT teacher head0.207
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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