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@ARTICLE{Feldmann:280961,
      author       = {Feldmann, Lucia K and Soriano, Diogo Coutinho and Habets,
                      Jeroen and D'Onofrio, Valentina and Kaplan, Jonathan and
                      Mathiopoulou, Varvara and Faust, Katharina and Schneider,
                      Gerd-Helge and Gruber, Doreen and Ebersbach, Georg and
                      Cagnan, Hayriye and Kühn, Andrea A},
      title        = {{E}lectrophysiological changes in the acute phase after
                      deep brain stimulation surgery.},
      journal      = {Brain stimulation},
      volume       = {18},
      number       = {5},
      issn         = {1935-861X},
      address      = {New York, NY [u.a.]},
      publisher    = {Elsevier},
      reportid     = {DZNE-2025-01043},
      pages        = {1579 - 1586},
      year         = {2025},
      abstract     = {With the introduction of sensing-enabled deep brain
                      stimulation devices, characterization of long-term biomarker
                      dynamics is of growing importance for treatment
                      optimization. The microlesion effect is a well-known
                      phenomenon of transient clinical improvement in the acute
                      post-operative phase. While beta band activity is confirmed
                      as a reliable biomarker for bradykinesia using chronic
                      recordings, little is known about the ideal time point for
                      initial electrophysiology-based programming.To investigate
                      the microlesion effect impact in chronic biomarker
                      recordings.Subthalamic peak biomarker power was continuously
                      recorded during the first 40 post-operative days in 12
                      Parkinson's disease patients implanted with a
                      sensing-enabled neurostimulator. Daily change in mean peak
                      power and complexity was analyzed. Additionally, power
                      spectral density at rest was compared between immediate
                      postoperative period and three-months-follow-up. We
                      additionally present continuous pallidal recordings in 2
                      dystonia patients.Mean peak power increased postoperatively,
                      and the rate of change stabilized at 22-29 days. Peak power
                      complexity showed a decrease in the number of recurrence
                      states and laminarity, stabilizing around the same time
                      point. Biomarker activity showed a significant increase at
                      3-month-follow up compared to the early post-operative
                      phase. The microlesion effect was clinically reflected as a
                      decrease in pre-vs. postoperative medication before setting
                      of chronic stimulation parameters.The transient
                      postoperative microlesional effect is characterized by
                      reduced beta band power and reduced neural signal complexity
                      that gradually stabilize towards the end of the first month
                      after surgery and most likely reflect local neuronal
                      adaptation. These findings are important for the timing of
                      electrophysiology-supported DBS programming, such as contact
                      selection or adaptive algorithms.},
      cin          = {AG Kühn},
      ddc          = {610},
      cid          = {I:(DE-2719)5000008},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40803530},
      doi          = {10.1016/j.brs.2025.08.002},
      url          = {https://pub.dzne.de/record/280961},
}