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@INPROCEEDINGS{Voges:819534,
      author       = {Voges, Nicole and Sukiban, Jeya and Pauli, Robin and
                      Denker, Michael and Timmermann, Lars and Grün, Sonja},
      title        = {{E}valuation of spike sorting results obtained from
                      neuronal activity in the {S}ubthalamic {N}ucleus of
                      {P}arkinson patients},
      school       = {Uniklinik Koeln},
      reportid     = {FZJ-2016-05177},
      year         = {2016},
      abstract     = {In Parkinson’s disease (PD) the STN plays an important
                      role in the formation of pathological oscillatoryactivity
                      within the basal ganglia-cortex loop. The primary measure to
                      reveal such oscillations is the localfield potential (LFP).
                      While it is assumed that the LFP reflects synaptic input to
                      groups of neurons, therelationship between this population
                      signal and the single neuron activity is still a matter of
                      debate [1, 2].Our long-term goals are to investigate the
                      spike-LFP relationship in STN recordings obtained during
                      deepbrain stimulation surgery, as well as to assess the
                      amount of synchrony between individual neurons in orderto
                      elucidate how oscillations on the population level translate
                      to neuronal synchrony.A critical step to achieve this goal
                      is to correctly isolate the spiking activity of single units
                      in extracellularSTN recordings from Parkinson patients
                      measured with a Ben Gun five channel
                      micro-marcro-electrodeholder. We employed a number of spike
                      sorting algorithms [e.g., 3] and found that different spike
                      sortingmethods yield inconsistent results. We quantify these
                      differences by the number of detected single unitsand the
                      individual assignment of spikes to the detected units. Our
                      long-term goal critically depends onthe spike sorting
                      quality [4], as, e.g., spike synchrony evaluation depends on
                      the percentage of correctlyidentified spikes [5]. Hence, we
                      introduced two additional approaches. Firstly, we developed
                      a set of toolsthat estimates the isolation quality of single
                      units [6]. These tools calculate the similarity of the spike
                      shapeswithin one unit compared to other units. Secondly, we
                      generated synthetic ground truth spike data of mixedunits
                      with the statistical features of the STN recordings: We
                      selected the two most different spike shapeswhich we
                      combined linearly to obtain pairs of spikes with a
                      controlled distinctness. Assuming Poisson spikerates we
                      generated spike trains by inserting such spike pairs into a
                      noisy background obtained by phaseshifting the original
                      noise. These data enable us to calibrate and verify our
                      spike sorting results, i.e., tocheck if the number of
                      extracted units and the spike-to-unit assignment is correct.
                      By use of these twoapproaches, we compare and evaluate
                      various spike sorting methods to finally select and apply
                      the mostappropriate one for the analysis of our STN
                      recordings.},
      month         = {Jul},
      date          = {2016-07-05},
      organization  = {INM6 retreat, FZJ (Germany), 5 Jul
                       2016 - 6 Jul 2016},
      subtyp        = {Other},
      cin          = {INM-6 / IAS-6},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)IAS-6-20130828},
      pnm          = {574 - Theory, modelling and simulation (POF3-574) / DFG
                      project 147522227 - Charakterisierung der effektiven
                      Konnektivität motorischer Basalganglien-Kortex-Schleifen
                      durch loklale Feldpotentiale im Nucelus Subthalamicus und
                      EEG-Ableitungen bei Morbus Parkinson (147522227)},
      pid          = {G:(DE-HGF)POF3-574 / G:(GEPRIS)147522227},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/819534},
}