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Cortical and basal ganglia beta oscillations and frequency-dependent DBS effects in the A53T Parkinson’s disease rat model
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  • Published: 19 March 2026

Cortical and basal ganglia beta oscillations and frequency-dependent DBS effects in the A53T Parkinson’s disease rat model

  • Laura Kondrataviciute1,2,
  • Minesh Kapadia2,
  • Ivan Skelin2,3,
  • Srdjan Sumarac1,2,
  • Luka Zivkovic1,2,
  • Luis Antonio Franco Vergara1,2,
  • Sabika Jafri2,
  • Cherisse Tan2,4,
  • Hien Chau2,
  • Yuhan Hou5,
  • Savanna Blade5,
  • Xilin Liu3,5,
  • Clement Hamani6,
  • Taufik Valiante1,2,3,7,8,
  • William D. Hutchison2,8,
  • Luka Milosevic1,2,3,7 na1,
  • Lorraine V. Kalia2,9,10 na1 &
  • …
  • Suneil K. Kalia2,3,7,8 na1 

npj Parkinson's Disease , 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

  • Neurology
  • Neuroscience

Abstract

Parkinson’s disease (PD) is a movement disorder characterized by alpha-synuclein (a-Syn) aggregation, dopaminergic degeneration, and pathological beta oscillations (13–30 Hz) in the basal ganglia circuit. Deep brain stimulation (DBS) is an effective neurosurgical treatment for the motor symptoms of PD. However, the extent to which mitigation of beta oscillations mediates DBS therapeutic effects remains uncertain. Using an adeno-associated virus-mediated nigral A53T a-Syn overexpression rat model, we examined basal ganglia-thalamo-cortical electrophysiology and the model’s responsiveness to DBS. In vivo recordings revealed early beta emergence in the motor cortex (MCx), spreading to the subthalamic nucleus (STN) and entopeduncular nucleus (EP) with neurodegeneration. This was accompanied by alterations in STN and EP single-unit activity. Awake-state beta oscillations manifested as transient bursts. Low- and high-frequency DBS differentially modulated beta bursts and motor performance. Our results demonstrate that the A53T a-Syn model replicates key PD-like electrophysiological features, providing a platform to investigate DBS mechanisms and optimize therapies targeting aberrant beta activity.

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Data availability

All data generated or analyzed in this study are included in this article and supplementary files, or are available from the corresponding author upon reasonable request. The underlying code for this study is not publicly available but may be made available to qualified researchers on reasonable request from the corresponding author.

Code availability

The underlying code for this study is not publicly available but may be made available to qualified researchers on reasonable request from the corresponding author.

References

  1. Ben-Shlomo, Y. et al. The epidemiology of Parkinson’s disease. Lancet 403, 283–292 (2024).

    Google Scholar 

  2. Dorsey, E. R. et al. Projected number of people with Parkinson disease in the most populous nations, 2005 through 2030. Neurology 68, 384–386 (2007).

    Google Scholar 

  3. Lee, L.-H. N. et al. An electrophysiological perspective on Parkinson’s disease: symptomatic pathogenesis and therapeutic approaches. J. Biomed. Sci. 28, 85 (2021).

    Google Scholar 

  4. DeLong, M. R. & Wichmann, T. Circuits and circuit disorders of the basal ganglia. Arch. Neurol. 64, 20 (2007).

    Google Scholar 

  5. Little, S. & Brown, P. The functional role of beta oscillations in Parkinson’s disease. Parkinsonism Relat. Disord. 20, S44–S48 (2014).

    Google Scholar 

  6. Brown, P. Oscillatory nature of human basal ganglia activity: Relationship to the pathophysiology of Parkinson’s disease. Mov. Disord. 18, 357–363 (2003).

    Google Scholar 

  7. Feldmann, L. K. et al. Toward therapeutic electrophysiology: beta-band suppression as a biomarker in chronic local field potential recordings. NPJ Parkinsons Dis. 8, 44 (2022).

    Google Scholar 

  8. Haumesser, J. K. et al. Subthalamic beta oscillations correlate with dopaminergic degeneration in experimental Parkinsonism. Exp. Neurol. 335, 113513 (2021).

    Google Scholar 

  9. Beudel, M. et al. Oscillatory beta power correlates with akinesia-rigidity in the Parkinsonian subthalamic nucleus. Mov. Disord. 32, 174–175 (2017).

    Google Scholar 

  10. Kühn, A. A. et al. Event-related beta desynchronization in human subthalamic nucleus correlates with motor performance. Brain 127, 735–746 (2004).

    Google Scholar 

  11. Sumarac, S. et al. Interrogating basal ganglia circuit function in people with Parkinson’s disease and dystonia. Elife 12, RP90454 (2024).

    Google Scholar 

  12. Engel, A. K. & Fries, P. Beta-band oscillations—signalling the status quo? Curr. Opin. Neurobiol. 20, 156–165 (2010).

    Google Scholar 

  13. Brown, P. Bad oscillations in Parkinson’s disease. J. Neural Transm. Suppl. 70, 27–30 (2006).

    Google Scholar 

  14. Iskhakova, L. et al. Modulation of dopamine tone induces frequency shifts in cortico-basal ganglia beta oscillations. Nat. Commun. 12, 7026 (2021).

    Google Scholar 

  15. David, F. J., Munoz, M. J. & Corcos, D. M. The effect of STN DBS on modulating brain oscillations: consequences for motor and cognitive behavior. Exp. Brain Res. 238, 1659–1676 (2020).

    Google Scholar 

  16. Neumann, W.-J., Steiner, L. A. & Milosevic, L. Neurophysiological mechanisms of deep brain stimulation across spatiotemporal resolutions. Brain 146, 4456–4468 (2023).

    Google Scholar 

  17. Wang, D. D. et al. Pallidal deep-brain stimulation disrupts pallidal beta oscillations and coherence with primary motor cortex in Parkinson’s disease. J. Neurosci. 38, 4556–4568 (2018).

    Google Scholar 

  18. Piña-Fuentes, D. et al. The characteristics of pallidal low-frequency and beta bursts could help implementing adaptive brain stimulation in the Parkinsonian and dystonic internal globus pallidus. Neurobiol. Dis. 121, 47–57 (2019).

    Google Scholar 

  19. Davidson, B., Milosevic, L., Kondrataviciute, L., Kalia, L. V. & Kalia, S. K. Neuroscience fundamentals relevant to neuromodulation: Neurobiology of deep brain stimulation in Parkinson’s disease. Neurotherapeutics 21, e00348 (2024).

    Google Scholar 

  20. Musacchio, T., Koprich, J. B. & Ip, C. W. Modeling with the A53T α-synuclein model of Parkinson’s disease. Genet. Neurol. Behav. Diet. Parkinson’s. Dis. 2, 677–687 (2020).

    Google Scholar 

  21. Koprich, J. B., Kalia, L. V. & Brotchie, J. M. Animal models of α-synucleinopathy for Parkinson disease drug development. Nat. Rev. Neurosci. 18, 515–529 (2017).

    Google Scholar 

  22. Chung, C. Y., Koprich, J. B., Siddiqi, H. & Isacson, O. Dynamic changes in presynaptic and axonal transport proteins combined with striatal neuroinflammation precede dopaminergic neuronal loss in a rat model of AAV α-synucleinopathy. J. Neurosci. 29, 3365–3373 (2009).

    Google Scholar 

  23. Koprich, J. B. et al. Progressive neurodegeneration or endogenous compensation in an animal model of Parkinson’s disease produced by decreasing doses of alpha-synuclein. PLoS One 6, e17698 (2011).

    Google Scholar 

  24. Koprich, J. B., Johnston, T. H., Reyes, M. G., Sun, X. & Brotchie, J. M. Expression of human A53T alpha-synuclein in the rat substantia nigra using a novel AAV1/2 vector produces a rapidly evolving pathology with protein aggregation, dystrophic neurite architecture and nigrostriatal degeneration with potential to model the pathology of Parkinson’s disease. Mol. Neurodegener. 5, 43 (2010).

    Google Scholar 

  25. Hofman, K. et al. Low β predicts motor output and cell degeneration in the A53T Parkinson’s disease rat model. Brain 148, 4058–4071 (2025).

    Google Scholar 

  26. Musacchio, T. et al. Subthalamic nucleus deep brain stimulation is neuroprotective in the A53T α-synuclein Parkinson’s disease rat model. Ann. Neurol. 81, 825–836 (2017).

    Google Scholar 

  27. Musacchio, T. et al. Temporal, spatial and molecular pattern of dopaminergic neurodegeneration in the AAV-A53T α-synuclein rat model of Parkinson’s disease. Behav. Brain Res. 432, 113968 (2022).

    Google Scholar 

  28. Benhamou, L. & Cohen, D. Electrophysiological characterization of entopeduncular nucleus neurons in anesthetized and freely moving rats. Front. Syst. Neurosci. 8, 7 (2014).

    Google Scholar 

  29. Nim, S. et al. Disrupting the α-synuclein-ESCRT interaction with a peptide inhibitor mitigates neurodegeneration in preclinical models of Parkinson’s disease. Nat. Commun. 14, 2150 (2023).

    Google Scholar 

  30. Hui, S. et al. Mitophagy upregulation occurs early in the neurodegenerative process mediated by α-synuclein. Mol. Neurobiol. 61, 9032–9042 (2024).

    Google Scholar 

  31. Lee, E. J. et al. Reduction of alpha-synuclein oligomers in preclinical models of Parkinson’s disease by electrical stimulation in vitro and deep brain stimulation in vivo. Brain Stimul. 17, 166–175 (2024).

    Google Scholar 

  32. Kondrataviciute, L. et al. Characterization of motor and non-motor features associated with bilateral nigral degeneration due to A53T alpha-synuclein in female rats. Sci. Rep. (2026).

  33. Feingold, J., Gibson, D. J., DePasquale, B. & Graybiel, A. M. Bursts of beta oscillation differentiate postperformance activity in the striatum and motor cortex of monkeys performing movement tasks. Proc. Natl. Acad. Sci. USA 112, 13687–13692 (2015).

    Google Scholar 

  34. Tinkhauser, G. et al. The modulatory effect of adaptive deep brain stimulation on beta bursts in Parkinson’s disease. Brain 140, 1053–1067 (2017).

    Google Scholar 

  35. Yu, Y. et al. Parkinsonism alters beta burst dynamics across the basal ganglia–motor cortical network. J. Neurosci. 41, 2274–2286 (2021).

    Google Scholar 

  36. Little, S., Bonaiuto, J., Barnes, G. & Bestmann, S. Human motor cortical beta bursts relate to movement planning and response errors. PLoS Biol. 17, e3000479 (2019).

    Google Scholar 

  37. Sumarac, S. et al. Clinico-physiological correlates of Parkinson’s disease from multi-resolution basal ganglia recordings. NPJ Parkinsons Dis. 10, 175 (2024).

    Google Scholar 

  38. Tinkhauser, G. et al. Beta burst coupling across the motor circuit in Parkinson’s disease. Neurobiol. Dis. 117, 217–225 (2018).

    Google Scholar 

  39. Avila, I. et al. Beta frequency synchronization in basal ganglia output during rest and walk in a hemiparkinsonian rat. Exp. Neurol. 221, 307–319 (2010).

    Google Scholar 

  40. Polar, C. A., Gupta, R., Lehmkuhle, M. J. & Dorval, A. D. Correlation between cortical beta power and gait speed is suppressed in a Parkinsonian model, but restored by therapeutic deep brain stimulation. Neurobiol. Dis. 117, 137–148 (2018).

    Google Scholar 

  41. Lofredi, R. et al. Subthalamic beta bursts correlate with dopamine-dependent motor symptoms in 106 Parkinson’s patients. NPJ Parkinsons Dis. 9, 2 (2023).

    Google Scholar 

  42. West, T. O. et al. Propagation of beta/gamma rhythms in the cortico-basal ganglia circuits of the Parkinsonian rat. J. Neurophysiol. 119, 1608–1628 (2018).

    Google Scholar 

  43. Pavlides, A., Hogan, S. J. & Bogacz, R. Computational models describing possible mechanisms for generation of excessive beta oscillations in Parkinson’s disease. PLoS Comput. Biol. 11, e1004609 (2015).

    Google Scholar 

  44. Connolly, A. T. et al. Modulations in oscillatory frequency and coupling in Globus Pallidus with increasing Parkinsonian severity. J. Neurosci. 35, 6231–6240 (2015).

    Google Scholar 

  45. Muralidharan, A. et al. Physiological changes in the pallidum in a progressive model of Parkinson’s disease: Are oscillations enough? Exp. Neurol. 279, 187–196 (2016).

    Google Scholar 

  46. Lundqvist, M., Miller, E. K., Nordmark, J., Liljefors, J. & Herman, P. Beta: bursts of cognition. Trends Cogn. Sci. 28, 662–676 (2024).

    Google Scholar 

  47. Bos, M. J. et al. Effect of anesthesia on microelectrode recordings during deep brain stimulation surgery: a narrative review. J. Neurosurg. Anesthesiol. 33, 300–307 (2021).

    Google Scholar 

  48. Janssen, M. L. F. & Bos, M. J. Microelectrode assisted deep brain stimulation: Considerations for anesthesia. Deep Brain Stimulation 4, 13–23 (2024).

    Google Scholar 

  49. Huang, P.-H., Pan, Y.-S., Chen, S.-Y. & Lin, S.-H. Anesthetic effect on the subthalamic nucleus in microelectrode recording and local field potential of Parkinson’s disease. Neuromodulation Technol. Neural Interface 28, 414–424 (2025).

    Google Scholar 

  50. Devlin-Hegedus, J. A., McGain, F., Harris, R. D. & Sherman, J. D. Action guidance for addressing pollution from inhalational anaesthetics. Anaesthesia 77, 1023–1029 (2022).

    Google Scholar 

  51. Aksenov, D. P., Miller, M. J., Dixon, C. J. & Wyrwicz, A. M. The effect of sevoflurane and isoflurane anesthesia on single unit and local field potentials. Exp. Brain Res. 237, 1521–1529 (2019).

    Google Scholar 

  52. Eisinger, R. S. et al. Parkinsonian beta dynamics during rest and movement in the dorsal pallidum and subthalamic nucleus. J. Neurosci. 40, 2859–2867 (2020).

    Google Scholar 

  53. Foffani, G. & Alegre, M. Brain oscillations and Parkinson disease. Handb. Clin. Neurol. 184, 259–271 (2022).

    Google Scholar 

  54. Scherer, M. et al. Single-neuron bursts encode pathological oscillations in subcortical nuclei of patients with Parkinson’s disease and essential tremor. Proc. Natl. Acad. Sci. USA 119, e2205881119 (2022).

    Google Scholar 

  55. Binns, T. S. et al. Shared pathway-specific network mechanisms of dopamine and deep brain stimulation for the treatment of Parkinson’s disease. Nat. Commun. 16, 3587 (2025).

    Google Scholar 

  56. Stein, E. & Bar-Gad, I. Beta oscillations in the cortico-basal ganglia loop during Parkinsonism. Exp. Neurol. 245, 52–59 (2013).

    Google Scholar 

  57. Brazhnik, E., Novikov, N., McCoy, A. J., Cruz, A. V. & Walters, J. R. Functional correlates of exaggerated oscillatory activity in basal ganglia output in hemiparkinsonian rats. Exp. Neurol. 261, 563–577 (2014).

    Google Scholar 

  58. Marceglia, S. et al. Gender-related differences in the human subthalamic area: a local field potential study. Eur. J. Neurosci. 24, 3213–3222 (2006).

    Google Scholar 

  59. Yin, Z. et al. Local field potentials in Parkinson’s disease: a frequency-based review. Neurobiol. Dis. 155, 105372 (2021).

    Google Scholar 

  60. Khan, H. F. et al. Site-specific seeding of Lewy pathology induces distinct pre-motor cellular and dendritic vulnerabilities in the cortex. Nat. Commun. 15, 10775 (2024).

    Google Scholar 

  61. Khanna, P. & Carmena, J. M. Neural oscillations: beta band activity across motor networks. Curr. Opin. Neurobiol. 32, 60–67 (2015).

    Google Scholar 

  62. Bonaiuto, J. J. et al. Laminar dynamics of high amplitude beta bursts in human motor cortex. Neuroimage 242, 118479 (2021).

    Google Scholar 

  63. Ni, Z.-G., Bouali-Benazzouz, R., Gao, D.-M., Benabid, A.-L. & Benazzouz, A. Time-course of changes in firing rates and firing patterns of subthalamic nucleus neuronal activity after 6-OHDA-induced dopamine depletion in rats. Brain Res. 899, 142–147 (2001).

    Google Scholar 

  64. Park, S. E., Song, K.-I., Kim, H., Chung, S. & Youn, I. Graded 6-OHDA-induced dopamine depletion in the nigrostriatal pathway evokes progressive pathological neuronal activities in the subthalamic nucleus of a hemi-Parkinsonian mouse. Behav. Brain Res. 344, 42–47 (2018).

    Google Scholar 

  65. Bezard, E. & Gross, C. E. Compensatory mechanisms in experimental and human Parkinsonism: towards a dynamic approach. Prog. Neurobiol. 55, 93–116 (1998).

    Google Scholar 

  66. Zigmond, M. J., Abercrombie, E. D., Berger, T. W., Grace, A. A. & Stricker, E. M. Compensations after lesions of central dopaminergic neurons: some clinical and basic implications. Trends Neurosci. 13, 290–296 (1990).

    Google Scholar 

  67. Detsch, O., Kochs, E., Siemers, M., Bromm, B. & Vahle-Hinz, C. Differential effects of isoflurane on excitatory and inhibitory synaptic inputs to thalamic neurones in vivo. Br. J. Anaesth. 89, 294–300 (2002).

    Google Scholar 

  68. Ellens, D. J. & Leventhal, D. K. Review: electrophysiology of basal ganglia and cortex in models of Parkinson disease. J. Parkinsons Dis. 3, 241–254 (2013).

    Google Scholar 

  69. Hamani, C. The subthalamic nucleus in the context of movement disorders. Brain 127, 4–20 (2004).

    Google Scholar 

  70. Hamani, C. et al. Insertional effect following electrode implantation: an underreported but important phenomenon. Brain Commun. 6, fcae093 (2024).

    Google Scholar 

  71. Paxinos, G. & Watson, C. The Rat Brain in Stereotaxic Coordinates (2013).

  72. Fim Neto, A. et al. Subthalamic low beta bursts differ in Parkinson’s disease phenotypes. Clin. Neurophysiol. 140, 45–58 (2022).

    Google Scholar 

  73. Hirschmann, J., Schoffelen, J. M., Schnitzler, A. & van Gerven, M. A. J. Parkinsonian rest tremor can be detected accurately based on neuronal oscillations recorded from the subthalamic nucleus. Clin. Neurophysiol. 128, 2029–2036 (2017).

    Google Scholar 

  74. Cassidy, M. et al. Movement-related changes in synchronization in the human basal ganglia. Brain 125, 1235–1246 (2002).

    Google Scholar 

  75. Underwood, C. F. & Parr-Brownlie, L. C. Primary motor cortex in Parkinson’s disease: Functional changes and opportunities for neurostimulation. Neurobiol. Dis. 147, 105159 (2021).

    Google Scholar 

  76. Verma Rodriguez, A. K., Ramírez-Jarquin, J. O., Rossi-Pool, R. & Tecuapetla, F. Basal ganglia output (entopeduncular nucleus) coding of contextual kinematics and reward in the freely moving mouse. Elife 13, RP98159 (2025).

    Google Scholar 

  77. Brys, I., Nunes, J. & Fuentes, R. Motor deficits and beta oscillations are dissociable in an alpha-synuclein model of Parkinson’s disease. Eur. J. Neurosci. 46, 1906–1917 (2017).

    Google Scholar 

  78. Gerster, M. et al. Separating neural oscillations from aperiodic 1/f activity: challenges and recommendations. Neuroinformatics 20, 991–1012 (2022).

    Google Scholar 

  79. Weinberger, M. et al. Beta oscillatory activity in the subthalamic nucleus and its relation to dopaminergic response in Parkinson’s disease. J. Neurophysiol. 96, 3248–3256 (2006).

    Google Scholar 

  80. Bouthour, W. et al. Biomarkers for closed-loop deep brain stimulation in Parkinson disease and beyond. Nat. Rev. Neurol. 15, 343–352 (2019).

    Google Scholar 

  81. Spencer, K. A. et al. Modulating inhibitory synaptic plasticity to restore basal ganglia dynamics in Parkinson’s disease. Brain 148, 2299–2305 (2025).

    Google Scholar 

  82. Feldmann, L. K. et al. Subthalamic beta band suppression reflects effective neuromodulation in chronic recordings. Eur. J. Neurol. 28, 2372–2377 (2021).

    Google Scholar 

  83. Temperli, P. et al. How do Parkinsonian signs return after discontinuation of subthalamic DBS? Neurology 60, 78–81 (2003).

    Google Scholar 

  84. Kuhn, A. A. et al. High-frequency stimulation of the subthalamic nucleus suppresses oscillatory activity in patients with Parkinson’s disease in parallel with improvement in motor performance. J. Neurosci. 28, 6165–6173 (2008).

    Google Scholar 

  85. Tai, C.-H. Subthalamic burst firing: a pathophysiological target in Parkinson’s disease. Neurosci. Biobehav. Rev. 132, 410–419 (2022).

    Google Scholar 

  86. Gage, G. J. et al. Surgical implantation of chronic neural electrodes for recording single unit activity and electrocorticographic signals. J. Vis. Exp. 60, 3565 (2012).

    Google Scholar 

  87. Chin, G. D. & Hutchison, W. D. Effects of cobalt and bicuculline on focal microstimulation of rat pallidal neurons in vivo. Brain Stimul. 1, 134–150 (2008).

    Google Scholar 

  88. McConnell, G. C., So, R. Q., Hilliard, J. D., Lopomo, P. & Grill, W. M. Effective deep brain stimulation suppresses low-frequency network oscillations in the basal ganglia by regularizing neural firing patterns. J. Neurosci. 32, 15657–15668 (2012).

    Google Scholar 

  89. Zhang, K. K., Matin, R., Gorodetsky, C., Ibrahim, G. M. & Gouveia, F. V. Systematic review of rodent studies of deep brain stimulation for the treatment of neurological, developmental and neuropsychiatric disorders. Transl. Psychiatry 14, 186 (2024).

    Google Scholar 

  90. Schor, J. S. & Nelson, A. B. Multiple stimulation parameters influence efficacy of deep brain stimulation in Parkinsonian mice. J. Clin. Investig. 129, 3833–3838 (2019).

    Google Scholar 

  91. Mottaghi, S., Buchholz, O. & Hofmann, U. G. Systematic evaluation of DBS parameters in the hemi-Parkinsonian rat model. Front. Neurosci. 14, 561008 (2020).

    Google Scholar 

  92. Barbosa, E. H., Vallim, J. H., Lachat, J.-J. & de Castro, V. L. S. S. Assessments of motor abnormalities on the grid-walking and foot-fault tests from undernutrition in Wistar rats. J. Mot. Behav. 48, 5–12 (2016).

    Google Scholar 

  93. Chao, O. Y., Pum, M. E., Li, J.-S. & Huston, J. P. The grid-walking test: assessment of sensorimotor deficits after moderate or severe dopamine depletion by 6-hydroxydopamine lesions in the dorsal striatum and medial forebrain bundle. Neuroscience 202, 318–325 (2012).

    Google Scholar 

  94. Jain, A., Nandakumar, K. & Ross, A. Score normalization in multimodal biometric systems. Pattern Recognit. 38, 2270–2285 (2005).

    Google Scholar 

  95. Nath, T. et al. Using DeepLabCut for 3D markerless pose estimation across species and behaviors. Nat. Protoc. 14, 2152–2176 (2019).

    Google Scholar 

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Acknowledgements

This study was funded by Natural Sciences and Engineering Council (NSERC) RGPIN-2022-05181 (L.M.), the Canadian Institute for Health Research (CIHR) PJT 191880 (L.M., S.K.), Canadian Foundation for Innovation (CFI) Project 42608 (L.M., S.K., T.V.) and the R.R. Tasker Chair in Stereotactic and Functional Neurosurgery (S.K.).

Author information

Author notes
  1. These authors contributed equally: Luka Milosevic, Lorraine V. Kalia, Suneil K. Kalia.

Authors and Affiliations

  1. Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada

    Laura Kondrataviciute, Srdjan Sumarac, Luka Zivkovic, Luis Antonio Franco Vergara, Taufik Valiante & Luka Milosevic

  2. Krembil Research Institute, Toronto Western Hospital, University Health Network, Toronto, ON, Canada

    Laura Kondrataviciute, Minesh Kapadia, Ivan Skelin, Srdjan Sumarac, Luka Zivkovic, Luis Antonio Franco Vergara, Sabika Jafri, Cherisse Tan, Hien Chau, Taufik Valiante, William D. Hutchison, Luka Milosevic, Lorraine V. Kalia & Suneil K. Kalia

  3. CRANIA, University Health Network and University of Toronto, Toronto, ON, Canada

    Ivan Skelin, Xilin Liu, Taufik Valiante, Luka Milosevic & Suneil K. Kalia

  4. Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada

    Cherisse Tan

  5. Department of Electrical & Computer Engineering, University of Toronto, Toronto, ON, Canada

    Yuhan Hou, Savanna Blade & Xilin Liu

  6. Division of Neurosurgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada

    Clement Hamani

  7. KITE, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada

    Taufik Valiante, Luka Milosevic & Suneil K. Kalia

  8. Department of Surgery, University of Toronto, Toronto, ON, Canada

    Taufik Valiante, William D. Hutchison & Suneil K. Kalia

  9. Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada

    Lorraine V. Kalia

  10. Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada

    Lorraine V. Kalia

Authors
  1. Laura Kondrataviciute
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  2. Minesh Kapadia
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  3. Ivan Skelin
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  13. Clement Hamani
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  16. Luka Milosevic
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  17. Lorraine V. Kalia
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  18. Suneil K. Kalia
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Contributions

Conceptualization: L.K., M.K., L.V. K., S.K.K.; Methodology: L.K., M.K., W.D.H.; Formal analysis: L.K., M.K., I.S., W.D.H., S.S., L.Z.; Investigation: L.K.; Resources: S.K.K., L.V.K., L.M., T.V., C.H., X.L.; Data curation: L.K., C.T., S.J., H.C., Y.H., S.B.; Writing–original draft: L.K.; Writing–review & editing: L.K., M.K., S.K.K., L.V.K., W.D.H.; Visualization: L.K.; Supervision: S.K.K., L.V.K., T.V., L.M; Project administration: S.K.K., L.V.K.; Funding acquisition: S.K.K., L.V.K., T.V., L.M. All authors reviewed the manuscript.

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Correspondence to Luka Milosevic, Lorraine V. Kalia or Suneil K. Kalia.

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Kondrataviciute, L., Kapadia, M., Skelin, I. et al. Cortical and basal ganglia beta oscillations and frequency-dependent DBS effects in the A53T Parkinson’s disease rat model. npj Parkinsons Dis. (2026). https://doi.org/10.1038/s41531-026-01304-z

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  • Received: 28 July 2025

  • Accepted: 18 February 2026

  • Published: 19 March 2026

  • DOI: https://doi.org/10.1038/s41531-026-01304-z

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