% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Popovych:863805,
      author       = {Popovych, Oleksandr V. and Tass, Peter A.},
      title        = {{A}daptive delivery of continuous and delayed feedback deep
                      brain stimulation - a computational study},
      journal      = {Scientific reports},
      volume       = {9},
      number       = {1},
      issn         = {2045-2322},
      address      = {[London]},
      publisher    = {Macmillan Publishers Limited, part of Springer Nature},
      reportid     = {FZJ-2019-03792},
      pages        = {10585},
      year         = {2019},
      abstract     = {Adaptive deep brain stimulation (aDBS) is a closed-loop
                      method, where high-frequency DBS is turned on and off
                      according to a feedback signal, whereas conventional
                      high-frequency DBS (cDBS) is delivered permanently. Using a
                      computational model of subthalamic nucleus and external
                      globus pallidus, we extend the concept of adaptive
                      stimulation by adaptively controlling not only continuous,
                      but also demand-controlled stimulation. Apart from aDBS and
                      cDBS, we consider continuous pulsatile linear delayed
                      feedback stimulation (cpLDF), specifically designed to
                      induce desynchronization. Additionally, we combine adaptive
                      on-off delivery with continuous delayed feedback modulation
                      by introducing adaptive pulsatile linear delayed feedback
                      stimulation (apLDF), where cpLDF is turned on and off using
                      pre-defined amplitude thresholds. By varying the stimulation
                      parameters of cDBS, aDBS, cpLDF, and apLDF we obtain optimal
                      parameter ranges. We reveal a simple relation between the
                      thresholds of the local field potential (LFP) for aDBS and
                      apLDF, the extent of the stimulation-induced
                      desynchronization, and the integral stimulation time
                      required. We find that aDBS and apLDF can be more efficient
                      in suppressing abnormal synchronization than continuous
                      simulation. However, apLDF still remains more efficient and
                      also causes a stronger reduction of the LFP beta burst
                      length. Hence, adaptive on-off delivery may further improve
                      the intrinsically demand-controlled pLDF.},
      cin          = {INM-7},
      ddc          = {600},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {574 - Theory, modelling and simulation (POF3-574)},
      pid          = {G:(DE-HGF)POF3-574},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:31332226},
      UT           = {WOS:000476713900049},
      doi          = {10.1038/s41598-019-47036-4},
      url          = {https://juser.fz-juelich.de/record/863805},
}