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@ARTICLE{Schiffer:255903,
      author       = {Schiffer, A. M. and Nevado-Holgado, A. and Johnen, A. and
                      Schönberger, A. R. and Fink, G. R. and Schubotz, R. R.},
      title        = {{I}ntact action segmentation in {P}arkinson's disease:
                      hypothesis testing using a novel computational approach.},
      journal      = {Neuropsychologia},
      volume       = {78},
      issn         = {0028-3932},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2015-06005},
      pages        = {29-40},
      year         = {2015},
      abstract     = {Action observation is known to trigger predictions of the
                      ongoing course of action and thus considered a hallmark
                      example for predictive perception. A related task, which
                      explicitly taps into the ability to predict actions based on
                      their internal representations, is action segmentation; the
                      task requires participants to demarcate where one action
                      step is completed and another one begins. It thus benefits
                      from a temporally precise prediction of the current action.
                      Formation and exploitation of these temporal predictions of
                      external events is now closely associated with a network
                      including the basal ganglia and prefrontal cortex.Because
                      decline of dopaminergic innervation leads to impaired
                      function of the basal ganglia and prefrontal cortex in
                      Parkinson's disease (PD), we hypothesised that PD patients
                      would show increased temporal variability in the action
                      segmentation task, especially under medication withdrawal
                      (hypothesis 1).Another crucial aspect of action segmentation
                      is its reliance on a semantic representation of actions.
                      There is no evidence to suggest that action representations
                      are substantially altered, or cannot be accessed, in
                      non-demented PD patients. We therefore expected action
                      segmentation judgments to follow the same overall patterns
                      in PD patients and healthy controls (hypothesis 2),
                      resulting in comparable segmentation profiles. Both
                      hypotheses were tested with a novel classification
                      approach.We present evidence for both hypotheses in the
                      present study: classifier performance was slightly decreased
                      when it was tested for its ability to predict the identity
                      of movies segmented by PD patients, and a measure of
                      normativity of response behaviour was decreased when
                      patients segmented movies under medication-withdrawal
                      without access to an episodic memory of the sequence. This
                      pattern of results is consistent with hypothesis 1. However,
                      the classifier analysis also revealed that responses given
                      by patients and controls create very similar action-specific
                      patterns, thus delivering evidence in favour hypothesis 2.In
                      terms of methodology, the use of classifiers in the present
                      study allowed us to establish similarity of behaviour across
                      groups (hypothesis 2). The approach opens up a new avenue
                      that standard statistical methods often fail to provide and
                      is discussed in terms of its merits to measure hypothesised
                      similarities across study populations},
      cin          = {INM-3},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-3-20090406},
      pnm          = {572 - (Dys-)function and Plasticity (POF3-572)},
      pid          = {G:(DE-HGF)POF3-572},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000365053800004},
      pubmed       = {pmid:26432343},
      doi          = {10.1016/j.neuropsychologia.2015.09.034},
      url          = {https://juser.fz-juelich.de/record/255903},
}