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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
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  • Published: 01 April 2026

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

  • Lisa A. De Stefano1,
  • Hyeonseok Kim1,
  • Craig A. Erickson1,2,
  • Ernest V. Pedapati1,2,
  • Kelli C. Dominick1,2,
  • Rebecca Shaffer3,4,
  • Logan K. Wink5,
  • Lauren M. Schmitt6 &
  • …
  • Makoto Miyakoshi1,2 

Scientific Reports , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Medical research
  • Neurology
  • Neuroscience

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.

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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

  1. 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).

    Google Scholar 

  2. Pedapati, E. V. et al. Neocortical localization and thalamocortical modulation of neuronal hyperexcitability contribute to Fragile X Syndrome. Commun. Biol. 5, 442 (2022).

    Google Scholar 

  3. 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).

    Google Scholar 

  4. 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).

    Google Scholar 

  5. 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).

    Google Scholar 

  6. 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).

    Google Scholar 

  7. D’Hulst, C. et al. Decreased expression of the GABAA receptor in Fragile X Syndrome. Brain Res. 1121, 238–245 (2006).

    Google Scholar 

  8. 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).

    Google Scholar 

  9. 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).

    Google Scholar 

  10. 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).

    Google Scholar 

  11. 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).

    Google Scholar 

  12. Jonak, C. R. et al. Baclofen-associated neurophysiologic target engagement across species in Fragile X syndrome. J. Neurodev. Disord. 14, 52 (2022).

    Google Scholar 

  13. 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).

    Google Scholar 

  14. 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).

  15. 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).

    Google Scholar 

  16. 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).

    Google Scholar 

  17. Miyakoshi, M. et al. Hyper-extralemniscal model of Fragile X Syndrome. Cereb. Cortex https://doi.org/10.1093/cercor/bhaf141 (2025).

    Google Scholar 

  18. 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).

    Google Scholar 

  19. 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).

    Google Scholar 

  20. Guy, W. Clinical global impression. Assessment manual for Psychopharmacology 217–222 (1976).

  21. Roid, G. H. & Pomplun, M. The Stanford-Binet Intelligence Scales 654 (The Guilford Press, 2012).

    Google Scholar 

  22. 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).

    Google Scholar 

  23. Woodcock, R. W., McGrew, K. S. & Mather, N. Woodcock-Johnson Tests of Cognitive Abilities (Riverside, 2001).

    Google Scholar 

  24. Zimmermann, P., Gondan, M. & Fimm, B. KITAP Testbatterie Zur Aufmerksamkeitsprüfung Für Kinder. Handbuch. (Freiburg: Psytest, 2004).

  25. 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).

    Google Scholar 

  26. 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).

  27. 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).

    Google Scholar 

  28. Hessl, D. et al. The NIH Toolbox Cognitive Battery for intellectual disabilities: Three preliminary studies and future directions. J Neurodevelop Disord. 8, 35 (2016).

    Google Scholar 

  29. 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).

    Google Scholar 

  30. Schmitt, L. M. et al. Altered frontal connectivity as a mechanism for executive function deficits in Fragile X syndrome. Mol. Autism. 13, 47 (2022).

    Google Scholar 

  31. 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).

    Google Scholar 

  32. 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).

    Google Scholar 

  33. 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).

    Google Scholar 

  34. Mullen, T. CleanLine. (2012).

  35. Kothe, C. A. & Makeig, S. BCILAB: A platform for brain–computer interface development. J. Neural Eng. 10, 056014 (2013).

    Google Scholar 

  36. 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).

    Google Scholar 

  37. Mullen, T. R. et al. Real-time neuroimaging and cognitive monitoring using wearable dry EEG. IEEE Trans. Biomed. Eng. 62, 2553–2567 (2015).

    Google Scholar 

  38. 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).

    Google Scholar 

  39. 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).

    Google Scholar 

  40. Bates, D., Mächler, M., Bolker, B. & Walker, S. Fitting linear mixed-effects models using lme4. J. Stat. Softw. 67, 1–48 (2015).

    Google Scholar 

  41. Lenth, R. emmeans: Estimated Marginal Means, aka Least-Squares Means. R package version 1.11.1. (2025).

  42. R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing (2024).

  43. Wickham, H. Data analysis. In ggplot2: Elegant Graphics for Data Analysis 189–201 (Springer, 2016).

    Google Scholar 

  44. Gamer, M., Lemon, J., & IFPS. irr: Various Coefficients of Interrater Reliability and Agreement. R package version 0.84.1. (2019).

  45. Melman, T. & Victor, J. D. Robust power spectral estimation for EEG data. J. Neurosci. Methods. 268, 14–22 (2016).

    Google Scholar 

  46. 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).

    Google Scholar 

  47. 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).

    Google Scholar 

  48. Liu, R. et al. Reliability of resting-state electrophysiology in Fragile X syndrome. Biomark. Neuropsychiatry 9, 100070 (2023).

    Google Scholar 

  49. 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).

    Google Scholar 

  50. 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

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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

  1. Division of Child and Adolescent Psychiatry, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA

    Lisa A. De Stefano, Hyeonseok Kim, Craig A. Erickson, Ernest V. Pedapati, Kelli C. Dominick & Makoto Miyakoshi

  2. Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA

    Craig A. Erickson, Ernest V. Pedapati, Kelli C. Dominick & Makoto Miyakoshi

  3. Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA

    Rebecca Shaffer

  4. Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA

    Rebecca Shaffer

  5. Logan K Wink MD LLC, Cincinnati, USA

    Logan K. Wink

  6. Phelan-McDermid Syndrome Foundation, Osprey, FL, 34229, USA

    Lauren M. Schmitt

Authors
  1. Lisa A. De Stefano
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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

Correspondence to Craig A. Erickson.

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.

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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

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  • Received: 15 November 2025

  • Accepted: 11 March 2026

  • Published: 01 April 2026

  • DOI: https://doi.org/10.1038/s41598-026-44380-0

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Keywords

  • Fragile X syndrome
  • GABA
  • EEG biomarkers
  • Neurophysiology
  • Clinical trial
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