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@ARTICLE{Popovych:843673,
      author       = {Popovych, Oleksandr and Tass, Peter A.},
      title        = {{M}ultisite {D}elayed {F}eedback for {E}lectrical {B}rain
                      {S}timulation},
      journal      = {Frontiers in physiology},
      volume       = {9},
      issn         = {1664-042X},
      address      = {Lausanne},
      publisher    = {Frontiers Research Foundation},
      reportid     = {FZJ-2018-01242},
      pages        = {46},
      year         = {2018},
      abstract     = {Demand-controlled deep brain stimulation (DBS) appears to
                      be a promising approach for the treatment of Parkinson's
                      disease (PD) as revealed by computational, pre-clinical and
                      clinical studies. Stimulation delivery is adapted to brain
                      activity, for example, to the amount of neuronal activity
                      considered to be abnormal. Such a closed-loop stimulation
                      setup might help to reduce the amount of stimulation
                      current, thereby maintaining therapeutic efficacy. In the
                      context of the development of stimulation techniques that
                      aim to restore desynchronized neuronal activity on a
                      long-term basis, specific closed-loop stimulation protocols
                      were designed computationally. These feedback techniques,
                      e.g., pulsatile linear delayed feedback (LDF) or pulsatile
                      nonlinear delayed feedback (NDF), were computationally
                      developed to counteract abnormal neuronal synchronization
                      characteristic for PD and other neurological disorders. By
                      design, these techniques are intrinsically demand-controlled
                      methods, where the amplitude of the stimulation signal is
                      reduced when the desired desynchronized regime is reached.
                      We here introduce a novel demand-controlled stimulation
                      method, pulsatile multisite linear delayed feedback (MLDF),
                      by employing MLDF to modulate the pulse amplitude of
                      high-frequency (HF) DBS, in this way aiming at a specific,
                      MLDF-related desynchronizing impact, while maintaining
                      safety requirements with the charge-balanced HF DBS.
                      Previously, MLDF was computationally developed for the
                      control of spatio-temporal synchronized patterns and cluster
                      states in neuronal populations. Here, in a physiologically
                      motivated model network comprising neurons from subthalamic
                      nucleus (STN) and external globus pallidus (GPe), we compare
                      pulsatile MLDF to pulsatile LDF for the case where the
                      smooth feedback signals are used to modulate the amplitude
                      of charge-balanced HF DBS and suggest a modification of
                      pulsatile MLDF which enables a pronounced desynchronizing
                      impact. Our results may contribute to further clinical
                      development of closed-loop DBS techniques.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {573 - Neuroimaging (POF3-573)},
      pid          = {G:(DE-HGF)POF3-573},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:29449814},
      UT           = {WOS:000423823500001},
      doi          = {10.3389/fphys.2018.00046},
      url          = {https://juser.fz-juelich.de/record/843673},
}