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Effect of finger tapping frequency on abnormal subthalamic nucleus oscillations in Parkinson’s disease

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Effect  of  finger  tapping  frequency  on  abnormal  

subthalamic  nucleus  oscilla8ons  in  Parkinson’s  disease  

Julien  Stamatakis

1,2

,  Quen2n  Noirhomme

1

,  Jonathan  Orban

2

,  Benoit  Macq

2

,  Bruno  Kaschten

1

 and  Gaëtan  Garraux

1  

1  Cyclotron  Research  Centre,  Université  de  Liège,  Liège,  Belgium  

2  Ins2tute  of  Informa2on  and  Communica2on  Technologies,  Electronics  and  Applied  Mathema2cs,  Université  Catholique  de  Louvain,  Louvain-­‐la-­‐Neuve,  Belgium  

•  The  clinical  hallmarks  of  Parkinson’s  disease  (PD)  are  movement  

poverty   and   slowness   (i.e.   bradykinesia),   muscle   rigidity   and  

limb  tremor1.  

•  Abnormal  synchrony  in  the  basal  ganglia  (BG)  cor8cal  loops  may  

contribute  to  the  PD  motor  symptoms  such  as  bradykinesia2.  

•  The   most   popular   test   to   evaluate   bradykinesia   is   the   Unified  

Parkinson’s  Disease  Ra8ng  Scale  (UPDRS)  finger  tapping  test3.    

•  In  prac8ce,  pa8ents  tend  to  adopt  compensatory  strategies,  i.e.  

slow  but  wide  movements  or  rapid  but  narrow  movements.      

•  In   healthy   pa8ents,   slow   movements   (<2Hz)   are   controlled  

separately   while   for   fast   movements   (>2Hz),   the   movement   is  

con8nuous  and  only  the  rhythm  is  controlled4.  

1.  Context  

2.  Material  

•  The   Clinical   Cerebral   Movement   Assessment   Tool   (CCMAT),  

based  on  accelerometers.  

•  Eight  subthalamic  nucleus  (STN)  local  field  poten8als  (LFP)  from  

two   deep   brain   s8mula8on   (DBS)   electrodes,   eight-­‐channel   surface  EEG  and  surface  EMG  of  the  extensor  digitorum.  

•  All  data  8me-­‐locked  and  synchronized  on  a  V-­‐amp  amplifier.  

4.  Results  

3.  Method  

5.  Conclusion  &  future  work  

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6.  References  

1  Bartels,  A.  and  Leenders,  K.,  “Parkinson’s  disease:  The  syndrome,  the  pathogenesia  and          

     pathophysiology”,  Cortex,  2009,  doi:10.1016/j.cortex.2008.11.010.  

2  Schnitzler,  A.  and  Gross  J.  “Normal  and  pathological  oscillatory  communica2on  in  the  

     brain”.  Nature  reviews  neuroscience,  vol.  6  (4),  pp.  285–296,  2005.    

3  Goetz,  C.G.  et  al.,  “Movement  Disorder  Society-­‐sponsored  revision  of  the  Unified  

     Parkinson's  Disease  Ra2ng  Scale  (MDS-­‐UPDRS):  Scale  presenta2on  and  clinimetric  tes2ng          results”,  Movement  Disorders,  vol.  23  (15),  pp.  2129-­‐2170,  2008.  

4  Stegemöller,  E.  et  al.,  “Effect  of  Movement  Frequency  on  Repe22ve  Finger  Movements  in    

     Pa2ents  with  PD”.  Movement  Disorders,  vol.  24  (8),  pp.  1162–1169,  2009.  

•  Preliminary   analysis   suggests   that   abnormal   oscilla8ons   in   the  

STN  are  modulated  by  movement  frequency  during  a  FT  task.  

•  However,  those  results  are  not  reproducible  for  all  pa8ents.    

•  Less  and  slower  FT  frequencies  should  be  evaluated,  with  more  

trials  in  order  to  improve  the  resolu8on  of  the  MRPs.  

•  Frequency-­‐specific  rela8onship  between  STN,  EEG  and  EMG.  

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•  Four  parkinsonian  pa8ents  included  5  days  a_er  DBS  surgery.  

•  Pa8ents  performed  nine  30  seconds-­‐long  auditory-­‐paced  finger  

tapping   trials   at   various   frequencies   ranging   from   1   to   3   Hz   broken  down  into  0.25  Hz  steps.      

•  Accelerometer   recordings   were   used   to   define   each   finger  

tapping  movement  and  extract  several  movement  features  such   as  movement  frequency,  amplitude  or  phase-­‐shi_  from  tone.    

•  Accelerometer   recordings   were   also   used   in   the   movement-­‐

related  poten8al  (MRP)  analysis  of  STN  LFP.  

•  For   each   epoch   of   the   LFP   signal,   the   complex   Morlet   wavelet  

transform   was   computed   and   the   coefficients   were   averaged   over  all  the  epochs  to  present  the  power  of  the  averaged  MRPs.    

•  Parkinsonian  pa8ent  performing  FT  at  3Hz        

•  The   pa8ents   were   able   to   perform   the   FT   at   the   imposed  

frequency  and  did  not  show  any  decrease  in  performance  as  the   movement  frequency  increased.  

•  For  slow  movements,  the  8me-­‐frequency  analysis  of  the  MRPs  

revealed   a   decrease   in   beta   band   power   during   each   FT   movement,  followed  by  a  beta  band  post-­‐movement  rebound.  

•  The  8me  needed  to  perform  the  FT  movement,  from  finger  li_  

to  tap,  decreased  significantly  in  parallel  to  increased  auditory-­‐ paced  frequency  (r=-­‐0.79).  

•  For   faster   movements,   no   paeern   of   synchroniza8on-­‐

desynchroniza8on   were   observed,   but   rather   a   STN   ac8vity   modula8on  dephased  compared  to  movements.  

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