Aarhus 2010-09-10 complexity brain - Aarhus Universitet · Peter].’*Ref>>Nref& [OYR Peter],[SN&...

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9/16/10 1 Syntac-c complexity and the brain Workshop on Aphasia and Syntac-c Movement Aarhus, Sept. 10, 2010 Ken Ramshøj Christensen Dept. of Language, Literatuer & Cultur, AU MINDLab, Center for Func-onelly Integra-ve Neuroscience (CFIN), AUH hPp://www.hum.au.dk/engelsk/engkrc/ [email protected] 1 Broca’s aphasia / Agramma-sm 2

Transcript of Aarhus 2010-09-10 complexity brain - Aarhus Universitet · Peter].’*Ref>>Nref& [OYR Peter],[SN&...

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Syntac-c  complexity  and  the  brain  

Workshop  on  Aphasia  and  Syntac-c  Movement      Aarhus,  Sept.  10,  2010  

Ken  Ramshøj  Christensen  Dept.  of  Language,  Literatuer  &  Cultur,  AU  

MINDLab,  Center  for  Func-onelly  Integra-ve  Neuroscience  (CFIN),  AUH  

hPp://www.hum.au.dk/engelsk/engkrc/  [email protected]  

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Broca’s  aphasia  /  Agramma-sm  

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Produc-on  deficits  in  agramma-sm  •  Non-­‐fluent,  effor\ul  speech  

•  Inability  to  organize  words  into  gramma-cal  sentences  

•  Improper  use  or  non-­‐use  of  gramma-cal  words  and  morphemes,  –  C,  P,  Aux,  Tns,  Agr…  

•  Defec-ve  ability  to  assemble  phonemes  into  words  (also  in  Wernicke’s  aphasics)  –  but  no  non-­‐words.  

•  Impaired  ability  to  repeat  sentences  they  hear.  –  Even  the  ones  they  fully  

understand,  much  to  their  own  surprise  and  dismay.  

•  NOTE:  Word  order  is  intact  

(Pinker  1994:  47)    

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Comprehension  deficits  •  Many  aspects  of  comprehension  are  not  impaired  (cf.  Grodzinsky  2000:4)  

•  No  problems  with  simple  sentences  without  movement  or  with  universal  quan-fiers  (Saddy  1995)  –  Ac-ve  (intact):  The  girl  kissed  the  boy  –  Passive  (impaired):  The  boy  was  kissed  by  the  girl  –  Passive  (intact):  Every/the  boy  was  kissed  by  every/the  girl  

•  No  impairment  to  the  part  of  LEX  that  interfaces  with  SYNTAX  –  Able  to  detect  viola-ons  of  subcategoriza-on  

•  She  ate  the  cake/*rock/*from  

–  Able  to  detect  viola-ons  of  argument  structure  •  She  bought  a  book,  *She  bought,  She  bought  him  a  book  •  *She  slept  a  book,  She  slept,  *She  slept  him  a  book,    

•  No  problems  with  certain  types  of  binding  (coreference)  (Grodzinsky  et  al.  1993)  –  Corefence  (intact):      Is  Mama  Bear  touching  herself?  –  No  coref.  (impaired):    Is  Mama  Bear  touching  her?  –  With  quan-fier  (intact):    Is  every  bear  herself  /  her?  

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Comprehension  deficits  •  Problems  with  seman-cally  reversible  sentences  with  movement.  

•  The  Trace-­‐DeleDon  Hypothesis  (Grodzinsky  2000):    In  agramma-sm,  traces  in  θ-­‐posi-ons  (structural  posi-ons  to  which  θ-­‐roles  are  assigned)  are  deleted  from  the  syntac-c  representa-ons.  

–  (Except  if  ∀  is  present,  Saddy  1995)  

•  The  Default  Strategy:    Referen-al  NPs  with  no  θ-­‐role  are  assigned  one  by  default,  by  linear  considera-ons  (NP1=AGENT).    

Example Reversible Movement Impaired The woman drove the car No No No The car was driven _ by the woman No Yes No The woman kissed the man Yes No No The man was kissed _ by the woman Yes Yes Yes

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Produc-on  deficits  in  agramma-sm  (cont.)  

•  Determined  by  +/-­‐zero-­‐morphology  –  Omission  if  the  bare  V/N-­‐stem  is  a  real  and  well-­‐formed  word  [+zero-­‐morph]  

•  English,  Japanese  –  Subs-tu-on  if  omission  results  in  nonwords  [-­‐zero-­‐morph]  

•  Russian,  Hebrew,  Italian  

•  Furthermore,  it  is  determined  by    the  structural  posi-on:  Tns  >  Agr  

•  Certain  types  of  embedded  clauses  (Friedmann  2001)  –  Finite  [+Tns]  (impaired):  I  think  [(that)  she  is  lazy].  

             Someone  [who  annoys  people]  is  not  popular.  

–  Nonfinite  [-­‐Tns]  (OK):    I  consider  [her  lazy  /  to  be  lazy].                Someone  [annoying  people]  is  not  popular  

Stem   Tns   Agr  

(Ich)  kauf   -­‐   -­‐e   PRES-­‐1ST.SG  

(Du)  kauf   -­‐   -­‐st   PRES-­‐2ST.SG  

(Ich)  kauf   -­‐t   -­‐e   PAST-­‐1ST.SG  

(Du)  kauf   -­‐t   -­‐est   PAST-­‐2ST.SG  

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Produc-on  deficits  in  agramma-sm  (cont.)  

Neg’  

CP  

C’  

NegP  

Neg°   …  

TP  

T’  

Wh-­‐word  Topic  Subj  

V-­‐fin  Conj  

NegaCon  

(Subj)  

T°  [Tense]  

•  The  Tree-­‐Pruning  Hypothesis  (TPH)  (Friedmann  &  Grodzinsky  1997;  Friedmann  2001)  –  Agramma-c  aphasic  pa-ents  produce  trees  that  are  intact  up  to  T°  and  pruned  

from  this  node  and  up.  –  In  less  severe  cases  TP  is  also  intact  while  CP  is  impaired.  

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Complexity  and  training  in  agramma-sm  

•  The  Complexity  Account  of  Treatment  Efficacy  (CATE)  –  (Thompson  &  Shapiro  2007)  

–  “Training  complex  structures  results  in  generaliza-on  to  less  complex  structures  when  untreated  structures  encompass  processes  relevant  to  (i.e.,  are  in  a  subset  rela-on  to)  treated  ones”  

•  …but  not  vice  versa  

Kompleksitetstyper  

#  proposi-ons  

#  embeddings  

(Non)-­‐canonical  word  order  

Distance  btw.  crucial  elements  

Structural  posi-on  (high  >  low)  

Complexity  &  word  order  

1   Wh-­‐move.  (“forfelt”/Spec-­‐CP)  (Rela-ve,  wh-­‐ques-on,  Topic,  …)  

2   NP-­‐move.  (Subj/Spec-­‐TP)  (Raising,  Passive)  

Com-­‐plex  

Sim-­‐plex  

Wh-­‐  move  

NP-­‐  move  

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Complexity  and  training  in  agramma-sm  

•  Training  the  (right  type  of)  complex  structure  rather  than  the  simplex  type  is  faster  and  more  efficient  than  vice  versa.  

•  It  also  works  with  Specific  Language  Impairment  (SLI)  (Levy  &  Friedmann  2009)  

OBJ-­‐relaCve  I  know  song  

[that  she  is  singing  __].  

OBJ-­‐cleV  It  is  the  song  

[that  she  is  singing  __].  

OBJ-­‐quesCon  What  is  she  singing  __?  

Raising  Peter  appears  

[__  to  ignore  the  problem].  

Passive  The  problem  is  ignored  (by  Peter).  

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Nega-on  

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Polarity  and  entailment  

•  Affirma-ve/Posi-ve  (POS)  involves  more  general  seman-c  ‘structure’  than  Nega-ve  (NEG):  

–  POS  is  upward-­‐entailing  •  (from  subset  to  superset  /  from  specific  to  general)  

–  NEG  is  downward  entailing  •  (from  superset  to  subset  /  from  general  to  specific)  

POSITIVE   NEGATIVE  

I  would  like  to  buy  some  apples.   I  would  not  like  to  buy  some  apples.  

UP   I  would  like  to  buy  some  fruit.   I  would  not  like  to  buy  some  fruit.  

DOWN   I  would  like  to  buy  some  Granny  Smith.   I  would  not  like  to  buy  some  Granny  Smith.  

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Polarity  and  structure  

•  NEG  involves  more  syntac-c  structure  than  POS  (Haegeman  1995,  Christensen  2005)  

AdvP  not  

Neg°  

NegP  

Neg’  

VP  join  the  club  

I°  will  

I’  DP  he  

IP  Cº  because  

CP  

VP  join  the  club  

I°  will  

I’  DP  he  

IP  C°  because  

CP  

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Polarity  and  structure  •  Nega-ve  islands  (Ross  1984,  Cinque  1990):  

It’s  amazing  that  you  are  (not)  more  clever  than  me  already.  

It’s  amazing  how  clever  you  are  ___  already.  *It’s  amazing  how  clever  you  are  not  ___  already.  *It’s  amazing  how  clever  you  aren’t  ___  already.  

•  The  Germanic  what-­‐for  split  (Vikner  1995:22)  

POSITIVE   NEGATIVE  

Hvad  for  studerende  har  du  inviteret  ____?  What  for  students  have  you  invited?  “Which  students  have  you  invited?”  

Hvad  for  studerende  har  du  ikke  inviteret  ____?  What  for  students  have  you  not  invited?  “Which  students  haven’t  you  invited?”  

(?)Hvad  har  du  inviteret  ____  for  studerende?  What  have  you  invited  for  students?  

*Hvad  har  du  ikke  inviteret  ____  for  studerende?  What  have  you  not  invited  for  students?  

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Polarity  and  interpreta-on  

•  NEG  is  more  difficult  than  POS    (Carpenter  &  Just  1975,  Carpenter  et  al.  1999,  Chase  &  Clark  1972,  Hasegawa  et  al.  2002)  

–  Requires  more  response  -me  –  Induces  more  errors  

•  NEG  is  ini-ally  interpreted  as  POS  (Hasson  &  Glucksberg  2006;  see  also  Carpenter  &  Just  1975,  Chase  &  Clark  1972)  

–  Both  POS  and  NEG  prime  POS-­‐related  words  up  to  ~1000  ms.  

My  lawyer  was  a  shark    POS-­‐related:  Vicious  My  lawyer  wasn’t  a  shark    POS-­‐related:  Vicious    NEG-­‐related:  Gentle  

NEG  =  NEG  [POS]  

POS   POS  

NEG   NEG  

SOA  =  0-­‐1000  ms.  

POS   POS  

NEG   NEG  

SOA  >  0-­‐1000  ms.  

SOA  =  S-mulus  Onset  Asynchrony  

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Polarity  and  interpreta-on  •  The  two-­‐step  model  (Kaup  et  al.  2006)  

–  A  door  that  is  not  open  is,  eventually,  mentally  closed  •  Sentence-­‐to-­‐picture  matching.  Read  S    SOA    Name  Pict  [Match/Mismatch]  •  A�er  750  ms:  Match  effect  (RT  x  Match)  for  AFF  but  not  NEG  a�er  750  ms.  •  A�er  1500  ms:  Match  effect  for  NEG  but  not  AFF.  

Nega-ve  sentence:  The  door  is  not  open  

Representa-on  1:  Negated  state  of  affairs  

Representa-on  2:  Actual  state  of  affairs  

Affirma-ve  sentence:  The  door  is  open  

Representa-on  1:  Actual  state  of  affairs  

SOA  (Time)  

0  ms   750  ms   1500  ms  

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fMRI  and  polarity  •  NEG:  Increased  syntac-c  complexity  

–  increased  ac-va-on  in  le�  premotor  cortex  (BA  6)  (also  found  by  Hasegawa  et  al.  2002)  –  BA  6  is  involved  in  (non-­‐motor)  rule-­‐based  computa-on  (Hanakawa  et  al.  2002)  –  Note:  No  effect  in  Broca’s  area.  

•  AFF:  Entailment  from  sub-­‐  to  superset  –  Increased  ac-va-on  in  right  SMG  (inf.  Par.,  BA  40)  –  SMG  is  involved  in  lexical  retrieval  and  (high  level  hierarchical)  mul-modal  associa-on  (Fuster  

2003)  

Neg  >  Pos   Pos  >  Neg   Pos  >  Neg  

(Christensen  2009,  J  Neurolinguis-cs,  21.2)   16  

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AFF  >  NEG  •  AFF  is  default  

–  NEG  is  ini-ally  interpreted  as  AFF  –  NEG  is  more  difficult  –  NEG  has  more  syntac-c  structure  

•  Arguably,  certain  brain  areas  has  a  default  level  of  ac-va-on  (e.g.  Raichle  et  al.  2001)  –  ‘Ac-ve’  tasks  induce  decreased  local  

ac-va-on  as  the  “default  mode”  is  temporally  suspended.  

•  AFF  >  NEG  shows  “default  mode”  ac-va-on.  –  Anterior  cingulate  cortex  (ACC)  

Raichle  et  al.  (2001:  681)  

CP  

TP  

NegP  

VP  

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Syntac-c  movement  

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Cyclic  deriva-on  and  structure-­‐to-­‐meaning  mapping  

The  proposi-on:  Pragma-c/Discourse  related  info  (Illocu-onary  Force,  Topic,  Focus)  

Subject-­‐Predicate  (”Nexus”),  Tense,  Aspect,  Voice,  Polarity  

The  predica-on:  Thema-c-­‐structure,    “Who  did  what  to  whom”  

Copy/Move  

CP  

IP  

VP  

Copy/Move  

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ARTIC

LEIN

PRESS

Table 1Summary of other fMRI studies

Targetdomain

Movement contrast Activation clusters

IFG/ant. ins VPrCG (BA6) Heschl’s(BA41/42)

pSTG Dorsal PrFG(BA6/8)

Ant. cing.(BA24/32)

CP Obj. rel4emb. decl. L — — L+R — —(Ben-Shachar et al., 2003)Wh4yes/no L L — L+R — —(Ben-Shachar et al., 2004)Topic4subj. Initial L L L L+R — —(Ben-Shachar et al., 2004)Topic4 re-serial. L L — L X X(Dogil et al., 2002)‘‘Long’’4‘‘short subj.’’ (scramblingabove subj.)

L+R — — L+R — —

(Fiebach et al., 2005)Subj–IO4IO–Subj (scrambling abovesubj.)

L+R — — — — —

(Grewe et al., 2005)Double obj. scrambling L — — — — —(Grewe et al., 2005)‘‘Easy’’4‘‘difficult’’ (scrambling abovesubj.)

L+R L — L — X

(Roder et al., 2002)

IP ‘‘Long’’4‘‘short obj.’’ (scramblingbelow subj.)

— — — — — —

(Fiebach et al., 2005)Pronominal scrambling — — — — — —(Grewe et al., 2005)

VP Dative shift R R — — — —(Ben-Shachar et al., 2004)‘‘Semantic’’4‘‘nonsemantic’’ R — — — — —(Roder et al., 2002)

IFG, inferior frontal gyrus; ant. ins., anterior insula; vPrCG, ventral precentral gyrus; Heschl’s, Heschl’s gyrus; pSTG, posterior superior temporal gyrus; PrFG,prefrontal gyrus; ant. cing., anterior cingulate gyrus; L, left, R, right; X, medial.

K.R.Christensen

/Journal

ofNeurolinguistics

21(2008)

73–103

81

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fMRI  and  syntac-c  movement  •  Two  types  of  movement,  two  different  targets    

(Christensen  2005,  2008)  

–  Hv-­‐flytning      Har  manden  ikke  fanget  nogen  fisk?    Hvilke  fisk  har  manden  ikke  fanget    ________  

–  Neg-­‐ShiW    Manden  har  ikke    fanget  nogen  fisk.    Manden  har  ingen  fisk  fanget  ________.  

IP  

NegP  

CP  

VP  ingen  

Hv   IP  

NegP  

CP  

VP  ikke  

(Christensen  2008,  J  Neurolinguis-cs  21.2)  21  

fMRI  and  syntac-c  movement  •  Movement  to  CP    Broca’s  area  

–  Wh-­‐ques-ons,  rela-ve  clauses,  topicaliza-ons,  “long”  scrambling  –  ”ac-va-on  of  the  le�  BA  44i  is  modulated  parametrically  as  a  func-on  of  the  

number  of  permuta-on  opera-ons  that  need  to  be  reconstructed.”  (Friederici  et  al.  2006:1715)  

–  Cf.  That  these  types  are  impaired  in  agramma-sm  

•  Movement  to  TP    no  Broca-­‐effect  –  ”Short”  scrambling,  passiviza-on  (!)  (Yokoyama  et  al.  2007),  Neg-­‐Shi�  –  Cf.  that  nega-on  seems  to  be  rela-vely  intact  in  agramma-sm  (Hagiwara  1995,  

Lonzi  &  Luzza�  1993)  -­‐  in  spite  of  the  level  of  complexity  

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On  nega-on  and  agramma-sm  •  Bas-aanse  et  al.  (2002):  Nega-on  is  impaired  in  languages  where  verb  

movement  and  nega-on  interact.  –  NEG  clauses  >  AFF  –  Spanish  (cli-c  neg.)  &  English  (do-­‐support)  >  Dutch  &  Norwegian  (V2)  –  Errors:  Senten-al  nega-on    “cons-tuent  nega-on”  

•  However…  –  May  in  part  account  for  English  and  Norwegian  but  not  for  Dutch  and  Spanish  

(p.  259)  –  Is  it  really  cons-tuent  (narrow  scope)  nega-on  they  produce?  –  At  least  nega-on  is  produced,  not  omiPed  

–  Target:  The  boy  does  not  read  the  book  –  Produced:  The  boy  does  read  not  the  book  

   The  boy  reads  not  the  book  

•  Maybe  placing  the  verb  is  the  problem  

The  boy   does   not   read(s)   the  book  

23  

The  Domain  Hypothesis  The  proposi-on:  Pragma-c/Discourse  related  info  (Illocu-onary  Force,  Topic,  Focus)  

Subject-­‐Predicate  (EPP/”Nexus”),  Tense,  Aspect,  Voice,  Polarity  

The  predica-on:  Thema-c  structure  

CP  

IP  

VP  

Le�  inferior  frontal  

(and  more)  

(Le�  anterior  temporal  BA21/38)  

“The  effect  of  syntac-c  movement  in  terms  of  neural  ac-va-on  is  dependent  on  the  target  domain  of  the  movement  in  ques-on.”  (Christensen  2008:76)   24  

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Crossed  mapping  

•  Animacy  (Grewe  et  al.  2006)  –  ANIMATE  >>  INANIMATE  Dann  wurde  [O-­‐A  dem  Arzt]  [S-­‐I  der  Mantel]  gestohlen.  

Dann  wurde  [S-­‐I  der  Mantel]  [O-­‐A  dem  Arzt]  gestohlen.  

•  Referen-ality  (Bornkessel-­‐Schlesewsky  et  al.  2009)  –  REFERENTIAL  (name)  >>  NON-­‐REFERENTIAL  (bare  plural)  [S-­‐R  Peter]  applauds  [O-­‐N  authors].  

[S-­‐N  Authors]  applaud  [O-­‐R  Peter].  *Ref>>Nref  

[O-­‐R  Peter],  [S-­‐N  authors]  applaud.  *Subj>>Obj  

[O-­‐N  Authors],  [S-­‐R  Peter]  applauds.  *Ref>>Nref,  *Subj>>Obj  

OASI   SIOA   OASA   SAOA  

SRON   SNOR   ORSN   ONSR  

Inanim  >>  Anim  

Non-­‐ref    >>  Ref  

25  

Anomaly  

World  knowl.  &  sem.  anom.  

(Hagoort  et  al.  2004)  

26  

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Garden  paths  &  dead  ends  

27  

Global  structural  ambiguity  •  Why  do  you  think  she  leW?  

–  “Because  someone  who  saw  her  leave  told  me.”  –  “Because  she  was  bored.”    

•  He  kissed  a  woman  in  a  pink  dress  –  kissed  [a  woman  [in  a  pink  dress]]  –  [kissed  a  woman]  [in  a  pink  dress]  

!"#

!"#

$%#

$"#

$&#

'&#

$%&&"'#

!"#

'"#

!&#

!"!"#

()*+,#

""#

!"#

"&#

%,#!&#

+#

("#

'-"&&#

!"#

!"#

!"#

$%#

$"#

$&#

'&#

$%&&"'#

!"#

!"#

!&#

(#

("#

)*+(,#

""#

"&#

%,#!&#

(#

("#

'-"&&#

!"#

!"#

28  

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Unproblema-c  local  structural  ambiguity  

•  Jack  knew  the  girl.  •  Jack  knew  the  girl  loved  Rex.  •  Jack  knew  that  the  girl  loved  Rex.  

DP  

Jack  

T’  

TP  

T°  

V°  

knew  

DP  

the  girl  

VP  

Object  

Subject  

Clausal  Object  

DP  

Jack  

T’  

TP  

T°  

V°  

knew  

CP  

VP  

DP  

the  girl  

T’  

TP  

T°  

V°  

loved  

DP  

Rex  

VP  

C°  

(that)  

29  

Garden  paths  •  Garden  path  (GP)  sentences:  

–  Local  ambiguity  –  Preferred  reading  leading  to  

ungramma-cality  –  Reanalysis  is  very  difficult  or  impossible  

•  The  coZon  shirts  are  made  from  comes  from  Arizona.  

•  Fat  people  eat  accumulates.  

•  GPs  increases  ac-va-on  in    –  Broca’s  area  and  post.  temp.  cortex  

(e.g.,  Fiebach  et  al.  2004)  –  and  premotor  cortex  (BA  6)  (Uchiyama  

et  al.  2008)  

30  

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fMRI,  garden  paths,  &  dead  ends  

•  GP:  The  toughest  men  know  love  soap  too.  •  NGP:  The  toughest  men  know  and  love  soap  too.  

•  DE:    More  people  have  been  to  Paris  than  I  have.  •  CCC:  More  people  have  been  to  Paris  than  to  Aarhus.  

Christensen  (2010)  Brain  and  CogniDon  73.1  31  

fMRI,  garden  paths,  &  dead  ends  

Reanalysis  (GP)  

Christensen  (2010)  Brain  and  CogniDon  73.1  

DP

NP

AdjP NP

Nº mænd men

Adjº sejeste toughest

Dº De The

CP

C’

Cº kender know

??? bruger

use

DP

NP

NP

Nº sejeste toughest

Dº De The

CP

C’

Cº bruger

use CP

Cº (som) (that)

C’

mænd kender men know

IP

også sæbe also soap

DP

CP Flere folk More people

CP

C’

har været i Paris have been to Paris

IP

VP

har været i Køge have been to Køge

end than

(der)

DP

CP Flere folk More people

CP

C’

har været i Paris have been to Paris

CP

CP

end (...) i Køge than to Køge

!"#$%&'('!

! !!

! !!

! !'

! !!"#$$%&%'(%)!#'!*(+#,*+#-'!.%,%.)!#'!+/%!.-(*.!0*1#0*!-$!+/%!*(+#,*+#-'!(.2)+%&)3!444!5!67389!:;<=!44!5!6738>!2'(-&&%(+%?=!5!67389!2'(3=!@4A!5!6738B!2'(3=!'3)3!5!'-+!)#C'#$#(*'+3!!!

GP DE NGP CCC

Legend

L-BA 21 R-BA 9

R-BA 4 L-BA 6

L-BA 6

L-BA 44 L-BA 45

*** **

*** (*) *** *

*** n.s. *** **

*** n.s. *** *

Figure 7

!"# $%# &!"# '''#

Reconstruc-on  (CCC)  

32  

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Summary  /  Conclusions  

•  Broca’s  area  is  neither  the  “speech  centre”,  nor  the  “syntax  centre”    –  though  clearly  crucial  to  both.  

•  Wernicke’s  area  is  neither  the  “comprehension”  centre,  nor  the  “seman-cs”  centre  –  though  clearly  crucial  to  both.  

33  

Summary  /  Conclusions  

•  Structure-­‐dependent  computa-on  involves  a  distributed  cor-cal  network  –  Including  Broca’s,  Wernicke’s,  premotor  

•  The  ac-va-on  in  the  “brain  bark”,  cortex,  depends  on  the  nature  of  the  syntac-c  tree.  

34  

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Evidence  for  a  supra-­‐syntac-c  perspec-ve.  Brain  and  Language  111,  125-­‐139.  Carpenter,  P.A.,  &  Just,  M.A.  (1975).  Sentence  comprehension:  A  psycholinguis-c  processing  model  of  

verifica-on.  Psychological  Review,  82,  45-­‐73.  Carpenter,  P.A.,  Just,  M.A.,  Keller,  T.A.,  Eddy,  W.F.,  &  Thulborn,  K.R.  (1999).  Time  course  of  fMRI-­‐

ac-va-on  in  language  and  spa-al  networks  during  sentence  comprehension.  NeuroImage,  10,  216-­‐224.  

Chase,  W.G.,  &  Clark,  H.H.  (1972).  Mental  opera-ons  in  the  comparison  of  sentences  and  pictures.  In  L.  Gregg  (Ed.),  CogniDon  in  Learning  and  Memory,  New  York:  Wiley.  

Christensen,  K.R.  (2005).  Interfaces:  NegaDon  -­‐  Syntax  -­‐  Brain.  PhD  disserta-on,  Department  of  English,  University  of  Aarhus.  

Christensen,  K.R.  (2008)  Interfaces,  syntac-c  movement,  and  neural  ac-va-on:  A  new  perspec-ve  on  the  implementa-on  of  language  in  the  brain.  Journal  of  NeurolinguisDcs  21.2,  73-­‐103.  

Christensen,  K.R.  (2009)  Nega-ve  and  affirma-ve  sentences  increase  ac-va-on  in  different  areas  in  the  Brain.  Journal  of  NeurolinguisDcs,  21.2,  73-­‐103.  

Christensen,  K.R.  (2010)  Syntac-c  Reconstruc-on  and  Reanalysis,  Seman-c  Dead  Ends,  and  Prefrontal  Cortex',  Brain  and  CogniDon  73.1,  41-­‐50.  

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Friedmann,  N.  (2001)  Agramma-sm  and  the  Psychological  Reality  of  the  Syntac-c  Tree.  Journal  of  PsycholinguisDc  Research  30.1,  71-­‐90.  

Friedmann,  N.,  &  Grodzinsky,  Y.  (1997)  Tense  and  agreement  in  agramma-c  produc-on:  Pruning  the  syntac-c  tree.  Brain  and  Language  56,  397–425.  

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