bioRxiv Science⌕ Search

bioRxiv · 10.1101/2025.07.07.662836

Alterations in Electroencephalography Signals in Female Fragile X Syndrome Mouse Model on a C57Bl/6J Background

Abstract

BackgroundFragile X Syndrome (FXS), the most common monogenic cause of autism spectrum disorder, arises from FMR1 gene silencing and exhibits pronounced sex differences in prevalence and phenotypic severity. Electroencephalography (EEG) has emerged as a promising translational biomarker for FXS pathophysiology, yet prior research has predominantly focused on male cohorts. In the widely used C57Bl/6J (B6) mouse strain, male Fmr1 knockout (KO) models show increased absolute gamma power at both juvenile and adult stages, which may reflect cortical hyperexcitability. In contrast, little is known about female Fmr1 KO mice, except that they exhibit no gamma alterations in adulthood. This gap hinders understanding of sex-specific neurodevelopmental trajectories of EEG profile in FXS. Leveraging the genetic stability and translational relevance of the B6 strain, this study compares EEG profiles between juvenile female Fmr1 KO and wild-type (WT) B6 mice to address this critical gap. MethodsFrontal-parietal differential EEG was recorded in freely behaving mice using the Open-Source Electrophysiology Recording system for Rodents. Neural activity was analyzed across three recording conditions: in the home cage, light-dark arena, and open field arena. Computed metrics included absolute/relative power, peak alpha frequency, theta-beta ratio, phase-amplitude coupling, amplitude-amplitude coupling, and multiscale entropy to assess signal complexity. ResultsIn all recording conditions, Fmr1 KO mice exhibited reduced absolute power in theta, alpha, and beta frequency bands compared to WT controls. Relative power analysis revealed decreased alpha activity alongside increased gamma-band power, including both low and high gamma, in the KO mice. Cross-frequency coupling was disrupted, with diminished alpha-gamma phase-amplitude coupling. Amplitude-amplitude coupling between theta or alpha and gamma power displayed distinct changes in different recording conditions. Peak alpha frequency and theta-beta ratio were both reduced or unchanged in the KO mice, depending on the recording condition. Finally, EEG signal complexity remained comparable between the two genotypes across the conditions. Behaviorally, KO mice displayed hyper-exploration in the open field test, characterized by increased center time and entries. However, no overall robust correlations between EEG power in different frequency bands and behavioral parameters in the open field test were observed. Discussion and ConclusionOur results demonstrate that juvenile female Fmr1 KO mice on a B6 background exhibit EEG alterations highly consistent with those reported in FXS patients, particularly increased gamma and reduced alpha power. The robust increase in gamma activity reinforces its status as a reliable biomarker across preclinical and clinical studies, while alpha reductions and slowed peak alpha frequency implicate thalamocortical network involvement. Together, these findings highlight the translational value of this model for studying core circuit dysfunctions in FXS.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Wang, B., Ahmed, A., Murari, K., Cheng, N.. 2025-07-10. Alterations in Electroencephalography Signals in Female Fragile X Syndrome Mouse Model on a C57Bl/6J Background. https://doi.org/10.1101/2025.07.07.662836

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Attention Across Scales: From Individual Variation to Social Hierarchies and Brain Networks in Semi-Free-Ranging Macaques

Attention is a fundamental brain function supporting perception, decision-making, and social behavior, and its dysfunction profoundly impairs daily life. It is both dynamic and stable, varying across observations and individuals, changing across the lifespan, and being shaped by social and environmental experience. Yet capturing this complexity remains a central challenge in neuroscience. Here, we integrated longitudinal behavioral assessments of semi-free-ranging macaques living in naturalistic social groups with resting-state fMRI. We quantified performance across days, ages, and social hierarchies and related it to intrinsic brain organization. Distinct attentional phenotypes emerged, including individuals with reduced attentional control. Performance followed an inverted-U lifespan trajectory, improving from childhood to adulthood before declining. Social status modulated attentional performance. Critically, nonlinear lifespan trajectories and associations with individual attentional differences were most clearly expressed in frontoparietal connectivity. Together, these findings reveal how sustained attention is organized across scales, providing a biological framework for its individual diversity, social modulation, and neural basis.

neuroscience↗

Decoding natural scenes from patterned optogenetic responses in mouse visual cortex

A central challenge in developing visual cortical prostheses is to determine how visual stimuli should be transformed into effective patterns of cortical stimulation. Although advances in stimulation technologies, including optogenetics, provide increasingly precise control over cortical activity, it remains unclear whether artificially evoked activity can reproduce the information content of naturally evoked visual representations. Here we establish a quantitative framework for evaluating visual encoding strategies by decoding cortical responses evoked by natural vision and patterned optogenetic stimulation. We developed a novel dual-modal paradigm in awake mice to bridge the gap between endogenous photostimulation and artificial network driving. By co-expressing the high-performance calcium indicator GCaMP6s and the red-shifted, ultra-sensitive opsin rsChRmine-oScarlet in the primary visual cortex (V1), we successfully translated dynamic natural movie frames into patterned, spatiotemporal optogenetic stimulation. Quantitative comparisons of macro-scale dynamics demonstrated that this patterned optogenetic injection evokes cortical states highly comparable and representationally aligned with those driven by actual visual photostimulation. To systematically evaluate the fidelity of these responses, we developed STAR, a deep learning model featuring spatial and temporal attention mechanisms, and successfully reconstructed the frames of natural movies from V1 signals under both experimental modalities. Collectively, our results demonstrate that complex sensory information can be both naturally encoded and synthetically injected into V1 circuits with high decoding fidelity. This work provides an empirical and computational proof-of-concept for intelligent, closed-loop biomimetic encoders, establishing a robust framework for next-generation cortical visual neuroprostheses and bidirectional brain-machine interfaces.

neuroscience↗

Why Is Spontaneous Blink Timing Informative? An Adaptive Scheduling Perspective

Spontaneous eye blinks have long been linked to cognitive processing, yet how task demands shape blink timing and its relationship to behavioral performance remains unclear. We examined spontaneous blink behavior in 576 adults performing two variants of the Continuous Performance Task (CPT). Blink occurrence and timing were most strongly modulated by the experimental condition in the more demanding CPT-AX task, whereas their association with response time was stronger in the CPT-X task, where more consistent blink timing predicted faster responses. This dissociation suggests that task structure changes not only blink behavior but also the behavioral relevance of blink timing. These findings are consistent with an adaptive scheduling account of spontaneous blinking and provide a conceptual framework for understanding when and why blink timing contains chronometric information about ongoing cognition.

neuroscience↗