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Maps and metaphors the perils of functional neuroimaging

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Title: Maps and metaphors the perils of functional neuroimaging


1
Maps and metaphors the perils of functional
neuroimaging
  • Paul Fletcher
  • pcf22_at_cam.ac.uk

2
The basis of the functional imaging signal
rest
rest
3
The basis of the functional imaging signal
P.E.T.
Task
4
The basis of the functional imaging signal fMRI
5
Why is brain mapping difficult?
Y(1-n) c ß.X (1-n) ?
  • Heterogeneity of macrostructure across
    individuals?
  • Heterogeneity of microstructure across
    individuals?
  • Heterogeneity of macrostructure-microstructure
    relationship across individuals?
  • Assumption of parcellated function not entirely
    predicted by structural observation

6
Implications of macro- and microstructural
patterns
  • Group maps of task-related activation are likely
    to produce type II error
  • Type I error feasible though unlikely
  • Problems addressable through probabilistic brain
    maps
  • The search for a neat functional parcellation,
    however, may be misconceived

7
Why might brain mapping be impossible?
Y (1-n) c ß.X (1-n) ?
  • The relationship may not exist with Y as measured
    by functional neuroimaging.
  • Relationship between X and Y (ß) may be
    context-dependent/non-stationary. Adaptive
    Coding? Equipotentiality?
  • Relationship between X and Y may be expressed as
    a change in relationship between Y1 and Y2-x
    i.e. connectivity change.
  • X specifies a task/setting that is usually
    formulated in terms of a manipulation of a
    cognitive process. Ultimately, therefore, brain
    mapping is predicated upon a belief that
    cognition is accessible and analysable.

8
Why might brain mapping be impossible?
Y (1-n) c ß.X (1-n) ?
  • The relationship may not exist with Y as measured
    by functional neuroimaging.
  • Relationship between X and Y (ß) may be
    context-dependent/non-stationary. Adaptive
    Coding? Equipotentiality?
  • Relationship between X and Y may be expressed as
    a change in relationship between Y1 and Y2-x
    i.e. connectivity change.
  • X specifies a task/setting that is usually
    formulated in terms of a manipulation of a
    cognitive process. Ultimately, therefore, brain
    mapping is predicated upon a belief that
    cognition is accessible and analysable.

9
rest
rest
10
Why might brain mapping be impossible?
Y (1-n) c ß.X (1-n) ?
  • The relationship may not exist with Y as measured
    by functional neuroimaging.
  • Relationship between X and Y (ß) may be
    context-dependent/non-stationary. Adaptive
    Coding? Equipotentiality?
  • Relationship between X and Y may be expressed as
    a change in relationship between Y1 and Y2-x
    i.e. connectivity change.
  • X specifies a task/setting that is usually
    formulated in terms of a manipulation of a
    cognitive process. Ultimately, therefore, brain
    mapping is predicated upon a belief that
    cognition is accessible and analysable.

11
Is cognitive function accessible/analysable? (is
brain mapping possible?)
  • Are we confident that we can describe brain
    function in terms of a set of cognitive
    processes?
  • Are we able to design tasks that will isolate and
    manipulate these sub-processes?
  • Do we have sufficient knowledge of process
    inter-relationships to predict accurately
    interactions at the cognitive and functional
    anatomical level?

12
Respond
Process x y z
Process x y z A
Perceive
  • I didnt realise how many ants spontaneously
    combust until I started to look at them closely
    through a magnifying glass on bright, sunny days
  • Harry Hill

13
Describing cognitive processes
  • A description of cognitive functions involves the
    adoption of a high level figurative terminology
  • Metaphor
  • Monitoring?
  • Error checking?
  • Strategy selection?
  • Metonymy
  • a series of working memory studies
  • memory encoding tasks

14
The dangers
  • Pseudo-insight through terminology
  • Jaspers, 1963
  • Assumption that a figurative description
    represents a neurobiological reality
  • Circularity
  • You can tell a lot about someones personality by
    what theyre like
  • Harry Hill

15
  • With possible exceptions, it appears highly
    unlikely that any single study will unambiguously
    identify a one-to-one mapping of cognitive
    process to brain region because our functional
    architecture is incomplete.
  • At present, brain mapping in its most widely
    used sense is inappropriate as an end in itself
  • Our initial goal must be to establish, where
    possible, a more complete taxonomy of cognitive
    function.
  • How may functional neuroimaging participate in
    this?

16
Functional neuroimaging as part of the
development of a cognitive taxonomy
  • 1. To indicate where differing tasks engage same
    processes or where apparently identical tasks
    engage different processes
  • meta-analyses
  • family resemblances
  • 2. Establishing a neurobiological marker for a
    theoretical model
  • Linking brain to theory and behaviour

17
1. Same tasks differing processes
Post-scan recognition task.
18
Subsequent recognition success
19
1. Differing tasks same processes
Left IFC and encoding -Predictive of subsequent
retrieval -necessary (?) to subsequent
retrieval -Encoding instructions are incidental
Shallice et al, Nature 1994
20
Activation of left IFG seen across many tasks
  • Semantic tasks
  • Raichle et al C Cort 1994
  • Peterson et al Nature 1988
  • Demb et al J Neurosci 1995
  • Vandenberghe et al, Nature 1996
  • Binder et al J Neurosci, 1997
  • Gabrieli et al PNAS 1998
  • Poldrack et al NeuroImage 1999
  • Wiggs et al Neuropsychologia 1999
  • Encoding tasks
  • Kapur et al, PNAS 1994
  • Shallice et al, Nature 1994
  • Haxby et al,PNAS 1996
  • Kelley et al, Neuron 1998
  • Wagner et al, Science 1998
  • Kopelman et al, Brain 1998
  • Fletcher et al, Brain 1998
  • Otten et al, Brain 2000

21
Episodic Encoding and semantic tasks family
resemblance?
Event-related fMRI study of paired associate
encoding 120 items (word associate pairs) -60
closely related KingQueen DogCat -60
distantly related BoatNet PrinceSkull F
letcher, Shallice Dolan NeuroImage, 2000
22
Distant versus close pairings
23
L IFC effects Distant vs Close pairs
24
Episodic encoding and semantic processing are
therefore associated with left IFG. Can we
dissociate these two sets of processes in
neuronal terms?
25
  • A proactive interference task may engage semantic
    processes while suppressing episodic encoding
  • An increased left IFG response in the face of
    proactive interference therefore links this
    region more strongly to semantic processing

26
Pre-scan
Scan
List 3 Old-Old GameBridge DogBoxer New-New Ston
eGranite ClothVelvet Old-New GameFootball Dog
Dalmation NewOld StructureBridge AthleteBoxer
List 1 GameBridge DogBoxer
List 2 GameBridge DogBoxer
27
Proactive interference (PET study)- Dolan
Fletcher, Nature 1997
28
Proactive interference fMRI study Fletcher,
Shallice Dolan NeuroImage, 2000
  • LabourBaby
  • ChickBird
  • NotesStudy
  • PartyBallroom
  • X 4
  • PartyLabour
  • BirdNotes
  • ChickBaby
  • BallroomStudy

29
Increasing familiarity across first four
repetitions
30
Rearranged versus novel pairs
31
L IFG an emerging pattern?
  • Tulving et al - Retrieval of semantic information
  • Gabrieli et al - Maintenance of semantic
    information
  • Thompson-Schill et al- Selection from among
    competing semantic attributes
  • Wagner et al- Control of semantic retrieval
  • Ultimately, one intriguing thing to emerge across
    the family of tasks showing left IFG activation
    is that they may be explained without recourse to
    episodic memory encoding

32
2. A neurobiological marker for a theoretical
model Associative learning (Fletcher et al,
Nature Neuroscience 2001)
Advantage existence of a theoretical model that
adequately reflects human behaviour. Does this
model have a neurobiological plausibility? Can
we use the specificity of this model to explore
frontal function in a way that minimises the
uncertainties arising from figurative language
and inexact process specification?
?V a ß (? SV)
33
?V a ß (? SV)
Unpredictability Learning
34
?V a ß (? SV)
Learning modulated by configuration of
unpredictable event
35
?V a ß (? SV)
36
(No Transcript)
37
(No Transcript)
38
Brain
Behaviour
Theoretical Model
?V a ß (? SV)
Subsequent Predictive responses
39
In brief
  • Mapping of cognitive processes onto brain
    structure is rendered ambiguous by
  • Heterogeneity of micro- and macro-structure
  • An incomplete knowledge of functional
    architecture

40
Functional neuroimaging may contribute to the
development of a functional architecture -
  • Through identification of neurobiological
    similarities across apparently different tasks
  • Through identification of neurobiological
    differences across apparently similar tasks
  • Neuroimaging as an extra-sensitive behavioural
    measure?
  • e.g. Dm effects
  • Through establishment of the plausibility of
    cognitive models of behaviour at the level of
    brain function

41
Future for functional neuroimaging
  • Psychopharmacological manipulations
  • Measures of functional integration

42
Acknowledgements
London R Dolan K Friston C Frith R Frackowiak R
Henson M Rugg T Shallice W.D.C.N
Perth R Honey P Michie
Cambridge J Anderson E Bullmore Caroline
Stephenson W.B.I.C
Düsseldorf G Fink N Palomero-Gallagher K
Zilles I.M.E.
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