Abstract
Fragile X syndrome (FXS) is characterized by sensory hypersensitivity and neural hyperexcitability linked to GABAergic dysfunction. BAER-101, formerly known as AZD7325, is a positive allosteric modulator of GABAA receptors with functional selectivity for α2/α3 subunits, designed to enhance inhibitory tone while minimizing sedation associated with α1 activation. This study evaluated the acute and chronic effects of BAER-101 on behavioral and electrophysiological outcomes in individuals with FXS. The study employed a within-subject 3 × 2 factorial design, with three dosing conditions (Low Dose: 5 mg; High Dose: 15 mg; Placebo, all twice a day) and two time factors (Acute: same-day pre-/post-dose comparison; Chronic: after two weeks of consecutive dosing). Behavioral endpoints included clinician- and parent-rated symptom severity and laboratory measures of attention and memory, while electrophysiological endpoints comprised resting-state and auditory-evoked scalp-recorded 128-channel EEG metrics including bandpower, inter-trial coherence, and event-related potentials. Behavioral results showed limited evidence for improvements: across tasks, most effects were nonsignificant, with only marginal dose-related trends. The isolated findings lacked consistency or dose-dependence and are likely attributable to random variation. Test–retest reliability of behavioral measures was generally lower than published estimates (ICC ≈ 0.4–0.75), suggesting that measurement noise and small sample size may have obscured true drug effects. EEG spectral power analysis showed significant drug × time interactions, but follow-up comparisons did not support consistent pre-/post-drug changes, suggesting these effects reflected noise rather than drug response. ERP analyses indicated small, nonsystematic reductions in amplitude of onset-evoked potentials during chirp and habituation paradigms following BAER-101 treatment, without clear dose dependency. Test–retest reliability for EEG measures was lower than previously reported, with intraclass correlation coefficients ≈ 0.6 relative to prior work. Overall, no robust behavioral or electrophysiological improvements were observed with BAER-101 at the tested doses and durations.
Similar content being viewed by others
Data availability
The data that support the findings of this study are available on request from the corresponding author, [CAE]. The data are not publicly available due to restrictions due to their containing information that could compromise the privacy of research participants.
References
Jonak, C. R., Lovelace, J. W., Ethell, I. M., Razak, K. A. & Binder, D. K. Multielectrode array analysis of EEG biomarkers in a mouse model of Fragile X Syndrome. Neurobiol. Dis. 138, 104794 (2020).
Pedapati, E. V. et al. Neocortical localization and thalamocortical modulation of neuronal hyperexcitability contribute to Fragile X Syndrome. Commun. Biol. 5, 442 (2022).
Wang, J. et al. A resting EEG study of neocortical hyperexcitability and altered functional connectivity in fragile X syndrome. J Neurodevelop. Disord. 9, 11 (2017).
Ethridge, L. E. et al. Reduced habituation of auditory evoked potentials indicate cortical hyper-excitability in Fragile X Syndrome. Transl. Psychiatry 6, e787–e787 (2016).
Ethridge, L. E. et al. Neural synchronization deficits linked to cortical hyper-excitability and auditory hypersensitivity in Fragile X Syndrome. Mol. Autism 8, 22 (2017).
Lovelace, J. W., Ethell, I. M., Binder, D. K. & Razak, K. A. Translation-relevant EEG phenotypes in a mouse model of Fragile X Syndrome. Neurobiol. Dis. 115, 39–48 (2018).
D’Hulst, C. et al. Decreased expression of the GABAA receptor in Fragile X Syndrome. Brain Res. 1121, 238–245 (2006).
Gonçalves, J. T., Anstey, J. E., Golshani, P. & Portera-Cailliau, C. Circuit level defects in the developing neocortex of Fragile X mice. Nat. Neurosci. 16, 903–909 (2013).
Martin, B. S., Corbin, J. G. & Huntsman, M. M. Deficient tonic GABAergic conductance and synaptic balance in the Fragile X Syndrome Amygdala. J. Neurophysiol. 112, 890–902 (2014).
Olmos-Serrano, J. L. et al. Defective GABAergic neurotransmission and pharmacological rescue of neuronal hyperexcitability in the Amygdala in a mouse model of Fragile X Syndrome. J. Neurosci. 30, 9929–9938 (2010).
Selby, L., Zhang, C. & Sun, Q.-Q. Major defects in neocortical GABAergic inhibitory circuits in mice lacking the Fragile X mental retardation protein. Neurosci. Lett. 412, 227–232 (2007).
Jonak, C. R. et al. Baclofen-associated neurophysiologic target engagement across species in Fragile X syndrome. J. Neurodev. Disord. 14, 52 (2022).
Olmos-Serrano, J. L., Corbin, J. G. & Burns, M. P. The GABAA receptor agonist THIP ameliorates specific behavioral deficits in the mouse model of Fragile X Syndrome. Dev. Neurosci. 33, 395–403 (2011).
De Stefano, L. A. et al. Gaboxadol Increases Resting Theta and Alpha Power without Affecting Evoked Responses in Fragile X Syndrome in a Home-based Setting. Preprint at https://doi.org/10.21203/rs.3.rs-7871579/v1 (2025).
Janz, P., Bainier, M., Marashli, S., Gross, S. & Redondo, R. L. Clinically-probed mechanisms of action in Fragile-X syndrome fail to normalize translational EEG phenotypes in Fmr1 knockout mice. Neuropharmacology 262, 110182 (2025).
Pirker, S., Schwarzer, C., Wieselthaler, A., Sieghart, W. & Sperk, G. GABAA receptors: Immunocytochemical distribution of 13 subunits in the adult rat brain. Neuroscience 101, 815–850 (2000).
Miyakoshi, M. et al. Hyper-extralemniscal model of Fragile X Syndrome. Cereb. Cortex https://doi.org/10.1093/cercor/bhaf141 (2025).
Schaefer, T. L. et al. GABAA Alpha 2,3 modulation improves select phenotypes in a mouse model of fragile X syndrome. Front. Psychiatry 12, 678090 (2021).
Aman, M. G., Burrow, W. H. & Wolford, P. L. The Aberrant Behavior Checklist-Community: Factor validity and effect of subject variables for adults in group homes. Am. J. Ment. Retard. 100, 283–292 (1995).
Guy, W. Clinical global impression. Assessment manual for Psychopharmacology 217–222 (1976).
Roid, G. H. & Pomplun, M. The Stanford-Binet Intelligence Scales 654 (The Guilford Press, 2012).
Randolph, C., Tierney, M. C., Mohr, E. & Chase, T. N. The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS): Preliminary clinical validity. J. Clin. Exp. Neuropsychol. 20, 310–319 (1998).
Woodcock, R. W., McGrew, K. S. & Mather, N. Woodcock-Johnson Tests of Cognitive Abilities (Riverside, 2001).
Zimmermann, P., Gondan, M. & Fimm, B. KITAP Testbatterie Zur Aufmerksamkeitsprüfung Für Kinder. Handbuch. (Freiburg: Psytest, 2004).
Berry-Kravis, E. et al. A double-blind, randomized, placebo-controlled clinical study of Trofinetide in the treatment of Fragile X Syndrome. Pediatr. Neurol. 110, 30–41 (2020).
Snape, M., Horrigan, J. & Glass, L. Improving outcome measures for fragile X syndrome clinical trials: Development of fragile X syndrome specific rating scales. Society for the Study of Behavioral Phenotypes New York City (2014).
Sansone, S. M. et al. Psychometric study of the Aberrant Behavior Checklist in Fragile X Syndrome and implications for targeted treatment. J. Autism Dev. Disord. 42, 1377–1392 (2012).
Hessl, D. et al. The NIH Toolbox Cognitive Battery for intellectual disabilities: Three preliminary studies and future directions. J Neurodevelop Disord. 8, 35 (2016).
McKinney, W. S. et al. Results from a double-blind, randomized, placebo-controlled, single-dose, crossover trial of lovastatin or minocycline in fragile X syndrome. J. Child Adolescent Psychopharmacol. https://doi.org/10.1089/cap.2024.0103 (2024).
Schmitt, L. M. et al. Altered frontal connectivity as a mechanism for executive function deficits in Fragile X syndrome. Mol. Autism. 13, 47 (2022).
Delorme, A. & Makeig, S. EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J. Neurosci. Methods. 134, 9–21 (2004).
Bigdely-Shamlo, N., Mullen, T., Kothe, C., Su, K.-M. & Robbins, K. A. The PREP pipeline: Standardized preprocessing for large-scale EEG analysis. Front. Neuroinform. 9, 16 (2015).
Miyakoshi, M., Schmitt, L. M., Erickson, C. A., Sweeney, J. A. & Pedapati, E. V. Can we push the “quasi-perfect artifact rejection” even closer to perfection?. Front. Neuroinform. https://doi.org/10.3389/fninf.2020.597079 (2021).
Mullen, T. CleanLine. (2012).
Kothe, C. A. & Makeig, S. BCILAB: A platform for brain–computer interface development. J. Neural Eng. 10, 056014 (2013).
Miyakoshi, M. Artifact subspace reconstruction: A candidate for a dream solution for EEG studies, sleep or awake. Sleep https://doi.org/10.1093/sleep/zsad241 (2023).
Mullen, T. R. et al. Real-time neuroimaging and cognitive monitoring using wearable dry EEG. IEEE Trans. Biomed. Eng. 62, 2553–2567 (2015).
Kim, H., Chang, C.-Y., Kothe, C., Iversen, J. R. & Miyakoshi, M. Juggler’s ASR: Unpacking the principles of artifact subspace reconstruction for revision toward extreme MoBI. J. Neurosci. Methods. 420, 110465 (2025).
Kim, H. et al. ICA’s bug: How ghost ICs emerge from effective rank deficiency caused by EEG electrode interpolation and incorrect re-referencing. Front. Signal Process. 3, 1064138 (2023).
Bates, D., Mächler, M., Bolker, B. & Walker, S. Fitting linear mixed-effects models using lme4. J. Stat. Softw. 67, 1–48 (2015).
Lenth, R. emmeans: Estimated Marginal Means, aka Least-Squares Means. R package version 1.11.1. (2025).
R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing (2024).
Wickham, H. Data analysis. In ggplot2: Elegant Graphics for Data Analysis 189–201 (Springer, 2016).
Gamer, M., Lemon, J., & IFPS. irr: Various Coefficients of Interrater Reliability and Agreement. R package version 0.84.1. (2019).
Melman, T. & Victor, J. D. Robust power spectral estimation for EEG data. J. Neurosci. Methods. 268, 14–22 (2016).
Berry-Kravis, E., Sumis, A., Kim, O.-K., Lara, R. & Wuu, J. Characterization of potential outcome measures for future clinical trials in Fragile X syndrome. J. Autism Dev. Disord. 38, 1751–1757 (2008).
Knox, A. et al. Feasibility, reliability, and clinical validity of the Test of Attentional Performance for Children (KiTAP) in Fragile X syndrome (FXS). J. Neurodev. Disord. 4, 2 (2012).
Liu, R. et al. Reliability of resting-state electrophysiology in Fragile X syndrome. Biomark. Neuropsychiatry 9, 100070 (2023).
Miyakoshi, M. et al. Automated preprocessing and phase-amplitude coupling analysis of scalp EEG discriminates infantile spasms from controls during wakefulness. Epilepsy Res. 178, 106809 (2021).
Xia, Chen Gabriël, Jacobs Marieke, de Kam Judith, Jaeger Jaakko, Lappalainen Paul, Maruff Mark A., Smith Alan J., Cross Adam, Cohen Joop, van Gerven (2014) The central nervous system effects of the partial GABA‐ Aα23‐selective receptor modulator AZD7325 in comparison with lorazepam in healthy males British Journal of Clinical Pharmacology 78(6) 1298-1314 10.1111/bcp.2014.78.issue-6 10.1111/bcp.12413
Funding
The work was supported by the FRAXA Research Foundation, the Cincinnati Children’s Research Foundation, and the State of Ohio Third Frontier Fund.
Author information
Authors and Affiliations
Contributions
CAE and EVP conceptualized the experiments. LKW, CAE, EVP, RS, LMS, and KCD all participated in data collection. LAD, HK, and MM conducted the primary data analyses and data modeling and wrote the major portions of the manuscripts. All authors reviewed and edited the manuscript and agree with the contents as written.
Corresponding author
Ethics declarations
Competing interests
This study was funded by the Cincinnati Children’s Hospital Research Foundation, the State of Ohio’s Ohio Development Services Agency, and the FRAXA Research Foundation. Drug and matching placebo were provided by Baergic Bio, Inc. CAE is a co-inventor on a patent describing the method of use of BAER-101 in fragile X syndrome with the patent held by the Cincinnati Children’s Hospital Research Foundation. The authors otherwise have no conflicts or financial agreements in direct conflict with any information reported in this manuscript.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
About this article
Cite this article
De Stefano, L.A., Kim, H., Erickson, C.A. et al. Acute and chronic dosing of the GABA A alpha 2,3 selective agonist BAER-101 do not alter behavior but may impact auditory-evoked EEG responses in adults with fragile X syndrome. Sci Rep (2026). https://doi.org/10.1038/s41598-026-44380-0
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-026-44380-0


