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Effects of learning on somatosensory and auditory decisionmaking and experiences: Implica:ons for medically unexplained symptoms Akib Ul Huque 1* , Dr Ellen Poliakoff 1 , and Dr Richard Brown 1 1 University of Manchester * University of Dhaka 1

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Page 1: Effectsoflearningonsomatosensoryandauditory decision4making ...cscuk.dfid.gov.uk/wp-content/uploads/2015/07/Akib... · Effectsoflearningonsomatosensoryandauditory decision4making’and’experiences:’Implica:ons’for’

Effects  of  learning  on  somatosensory  and  auditory  decision-­‐making  and  experiences:  Implica:ons  for  

medically  unexplained  symptoms    

Akib  Ul  Huque1*,  Dr  Ellen  Poliakoff1,  and  Dr  Richard  Brown1  1University  of  Manchester  

*University  of  Dhaka  

1  

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Have  you  ever  

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thought  someone  was  calling  your  name  only  to  find  that  no-­‐one  was  there?  

felt  a  vibraIon  and  thought  you  received  a  text  when  you  didn’t?    

Vibration ??

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Somatosensory  signal  detecIon  task  (SSDT)  

Reference:  Lloyd,   D.  M.,  Mason,   L.,   Brown,   R.   J.,   &   Poliakoff,   E.   (2008).   Journal   of   Psychosoma1c   Research,  64(1),  21–24  

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STIMULUS  (VibraIon)  

HIT  

MISS  

FALSE  ALARM  

CORRECT  REJECTION  

RESPONSE   OUTCOME  

YES  

NO  

YES  

NO  

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References:  1.  McKenzie  et  al.  (2010).  Percep1on,  39(6),  839  –  850.  2.  Brown  et  al.  (2012).  Psychosoma1c  Medicine,  74(6),  648–655.  3.  Katzer  et  al.  (2012).  Journal  of  Abnormal  Psychology,  121(2),  530–543.    4.  Lloyd,  D.  M.,  Mason,  L.,  Brown,  R.  J.,  &  Poliakoff,  E.  (2008).  Journal  of  Psychosoma1c  Research,  64(1),  21–24.  

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FAs  on  the  SSDT  

Correlate  with  symptom  reporIng2,  3  

Stable  over  Ime1  

Experimental  analogue  of  

MUS4  

MUS  =  Medically  unexplained  symptoms  

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Reference:  Brown,  R.  J.  (2007).  Clinical  Psychology  Review,  27(7),  769–780.    

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MUS  

Persistent  

Defy  medical  explanaIons  

DebilitaIng  

Bodily  pain  

GastrointesInal  problems  

Cardiovascular  symptoms    

Pseudoneurological  problems  

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References:  1.  Nimnuan,  C.,  Hotopf,  M.,  &  Wessely,  S.  (2001).  Journal  of  Psychosoma1c  Research,  51(1),  361–367.  2.  Bermingham,  S.  L.,  Cohen,  A.,  Hague,  J.,  &  Parsonage,  M.  (2010).  Mental  Health  in  Family  Medicine,  7(2),  71–84.  

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Prevalence  rate  of  MUS:  §  Survey   in   two   general   hospitals   in   southeast   London:  

52%  (1)  

Treatment  cost:  §  £3  billion  in  2008-­‐2009  (10%  of  total  NHS  expenditure;  2)  

§  Total:  Over  £14  billion  

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Background:  

References:  1.  Brown,  R.  J.  (2004).  Psychological  Bulle1n,  130(5),  793–812.    2.  Nagarajan,  S.  S.  et  al.  (1998).  The  Journal  of  Neuroscience,  18(4),  1559–1570.  3.  Meegan,  D.  V.,  Aslin,  R.  N.,  &  Jacobs,  R.  A.  (2000).  Nature  Neuroscience,  3(9),  860–862.    4.  Lapid,  E.,  Ulrich,  R.,  &  Rammsayer,  T.  (2009).  .  Psychonomic  Bulle1n  &  Review,  16(2),  382–389.    5.  Grondin,  S.,  &  Ulrich,  R.  (2011).  Mul1disciplinary  Aspects  of  Time  and  Time  Percep1on  (pp.  92–100).    8  

Decrease  symptom  reporIng  (1)  Training  

Reduces  somatosensory  false  alarms  

Transferred  within  the  same  modality  (2,  4)  

Transferred  across  different  modality  (2,  3)  

Cross-­‐modal  transfer  did  not  occur  (4,  5)  

Perceptual  learning  

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Research  questions:  

1.  Can  people  be  trained  to  make  more  false  alarms  on  the  SSDT?  

2.  Can   the   tendency   to   false   alarm   on   the   SSDT   be  reduced?  

3.  Will   training-­‐induced   change   in   false   alarm   rate  persist  over  Ime?  

4.  Will   changes   in   false   alarm   rate   affect   similar  perceptual   experiences   such   as   spontaneous  sensaIons  in  the  body  and  voice  hearing?  

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§  McKenzie   et   al.   (2012)   used   associaIve   learning  paradigm   to   train   parIcipants   but   failed   to   increase  the  false  alarm  rate  on  the  SSDT.  

§  An   alternaIve   approach   would   be   to   use   operant  condiIoning  principles.    

Previous  research  findings:  

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Reference:  McKenzie,  K.  J.  et  al.  (2012).  Acta  Psychologica,  139(1),  46–53.  

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Conditioning  Procedure:  

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To  increase  FAs:  •  Reward  hits  •  Punish  misses  

To  decrease  FAs:  •  Reward  correct  rejecIons  •  Punish  false  alarms  

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Spontaneous  sensation  test:  §  Be  relaxed;  focus  all  over  your  body;  try  to  idenIfy  if  

you  feel  any  automaIc  sensaIon.  §  DuraIon  of  a  trial:  20  seconds      

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2.  VibraIon  

1.  Tickling  

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Please  press  the  spacebar    if    you  hear  a  voice  

Voice  Detection  Task:  §  Nonsense   Voices   appeared   randomly   against   a  

conInuous  background  white  noise.    §  Amplitude:  both  threshold  and  suprathreshold  (based  

on  a  pilot  study).  

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§  ParIcipants   pressed   the   spacebar   every  Ime  they  thought  they  heard  a  voice.      

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Study  1  &  2:  Design  and  Procedure  

7.  Follow-­‐up  SSDT  (2  x  80  trials)  

6.  Follow  up  Spontaneous  SensaIon  Test    

5.  Follow-­‐up  voice  detecIon  task    

4.  ManipulaIon  SSDT  (4  x  80  trials)    • Won  5  points  for  hits    • Lost  5  points  for  misses      

4.  ManipulaIon  SSDT  (4  x  80  trials)  • Won  5  points  for  correct  rejecIons  • Lost  5  points  for  false  alarms  

STUDY  2  (False  alarm  decreasing  study)  Baseline  false  alarm  rate  ≥  .15  

STUDY  1  (False  alarm  increasing  study)  Baseline  false  alarm  rate  <  .15  

EXPERIMENTAL  condi:on  IdenIficaIon  of  high  and  low  false  alarmers  

3.  Baseline  SSDT  (2  x  80  trials)    

2.  Baseline  Spontaneous  SensaIon  Test    

1.  Baseline  voice  detecIon  task    

4.  Sham  SSDT  training  (4  x  80  trials  ;  pseudo  winning  and  losing  of  

points)  

CONTROL  condi:on    (both  studies)  

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Study  1:  n  =  75  (41  control  parIcipants)  Study  2:  n  =  76  (37  control  parIcipants    

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SSDT  Findings  of  Study  1  (Training  to  Increase  False  Alarms):  

F  (1.54,112.17)  =  18.21,  p  <  .0001,  η2p  =  .20  

-1.5

-1.3

-1.1

-0.9

-0.7

-0.5

Baseline Manipulation Follow-up

Log

tran

sfor

med

fal

se a

larm

rat

e

Phase

Control condition

Experimental condition

* *

F(1.84,134.38)  =  .386,  p  =  .663,  η2p  =  .005  

0.84

0.85

0.86

0.87

0.88

0.89

Baseline Manipulation Follow-up

Log

tran

sfor

med

sen

sitiv

ity

Phase

Control condition

Experimental condition

15  

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SSDT  findings  of  Study  2  (Training  to  decrease  false  alarms):  

F(1.78,131.56)  =  32.62,  p  <  .0001,  η2p =  .306  

-1.5

-1.35

-1.2

-1.05

-0.9

-0.75

-0.6

Baseline Manipulation Follow-up

Log

tran

sfor

med

fal

se a

larm

rat

e

Phase

Control condition

Experimental condition

* *

F(1.72,127.60)  =  2.00,  p  =  .146,  η2p  =  .03  

1.25

1.3

1.35

1.4

1.45

1.5

1.55

Baseline Manipulation Follow-up

Squ

are

root

tra

nsfo

rmed

sen

sitiv

ity

Phase

Control condition

Experimental condition

16  

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4.3

4.5

4.7

4.9

5.1

5.3

5.5

Baseline Follow-up

Squ

are

root

tra

nsfo

rmed

tot

al v

oice

Phase

Control condition

Experimental condition

Voice  detection  task:  Study  1    

(False  alarm  increasing  study)  

*

F(1,  73)  =  4.495,  p  <  .05,  η2p  =  .058    

4.6

4.7

4.8

4.9

5

5.1

5.2

5.3

5.4

Baseline Follow-up

Squ

are

root

tra

nsfo

rmed

tot

al v

oice

Phase

Control condition

Experimental condition

Study  2  (False  alarm  decreasing  study)  

F(1,  74)  =  .665,  p  =  .417,  η2p  =  .009    

§  There   was   no   effects   of   the   training   on   the   spontaneous  sensaIon  task  performance.  

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Correlational  Analyses:  

Variables SSDT baseline FA in light present condition

SSDT baseline FA in light absent condition

Total voice

SSDT baseline FA in light absent condition

.651****

Total voice .164* .262***

Voice FAs .171* .214** .514****

Note. * p < .05, **p < .01, *** p < .005, **** p < .001.

§  The   spontaneous   sensaIon   task   did   not   correlate   significantly  with  the  SSDT  or  voice  detecIon  task.      

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§  Somatosensory misperception can be changed with training.

§  Sensory modalities seem to share common perceptual decision-making processes.

§  The findings that perceptual distortions and decision-making processes underlying cross-modal perception could be changed with training might have important implications for the management of medically unexplained symptoms.

Conclusion:  

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Thank  You  

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