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Neuropsychology, Delusions and Modularity:

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Title: Neuropsychology, Delusions and Modularity:


1
Neuropsychology, Delusions and Modularity The
Curious Problem of Belief
www.neuro.spc.org/psypag
Vaughan Bell vaughan_at_backspace.org
Hadyn Ellis Peter Halligan
2
Outline
  • Delusions and Belief.
  • Cognitive Neuropsychology and Current Conceptual
    Tools.
  • Problems with modular approaches to belief.
  • Approaches for crossing the divide.

3
Notable Delusions
  • Shot by John Hinckley, who believed that this
    would cause Jodie Foster fall in love with him.

4
Notable Delusions
Philip K Dicks writing often drew on delusional
experiences.
5
Clinical Definition
  • Delusions, as defined by psychiatrists are
  • fixed false beliefs based on an incorrect
    inference about external reality that is firmly
    sustained despite what almost everyone else
    believes and despite what constitutes
    incontrovertible and obvious proof or evidence to
    the contrary
  • (DSM-IV-TR)

6
Delusion / Belief Relationship
  • Despite the fact that almost every one of these
    points can be argued with (Spitzer, 1990 David,
    1999)
  • Delusions are, by and large, considered as
    beliefs (albeit pathological ones).
  • Therefore an attempt to understand the
    neuropsychology of delusions, needs to be able to
    tackle the neuropsychology of belief.
  • As is the explicit objective of Cognitive
    Neuropsychiatry in this area.

7
Traditional CN Approach
  • Traditionally, cognitive neuropsychology has
    relied on several assumptions to allow the study
    of pathology to uncover normal functioning.
  • Modularity is one such assumption.
  • It assumes that fundamental cognitive process are
    independent and encapsulated within the brain.
  • With these assumptions we can uncover previously
    unknown modules by studying differences in
    behaviour after pathology.

8
The Belief Stumbling Block
  • Fodor (1983) the originator of the modularity
    hypothesis says that belief is a central
    process.
  • That is, is does not exist as a modular entity
    within the brain.
  • Indeed the relation of brain function to belief
    is still particularly controversial.
  • For example, Churchland (1999) argues that
    belief is an outdated concept.
  • And we will not be successful in determining its
    relation to brain function.

9
The Belief Stumbling Block
  • This would suggest methods that rely on
    modularity assumptions will less useful in
    understanding belief.
  • e.g. The lesion method.
  • Which seems to suggest a bleak future for
    Cognitive Neuropsychiatry in this area
  • and its researchers who wish to study delusions
    as a way of understanding normal belief
    processes.

10
Possible Solutions
  • Luckily, a similar problem has been encountered
    before.
  • Burgess (1997) has argued that the executive
    system is also a central process.
  • And has identified particular techniques for a
    successful cognitive neuropsychological approach
  • ..which could be used in cognitive
    neuropsychiatry to understand the significance of
    delusions.

11
Heterogeneous Samples
  • Heterogeneous patient samples can be used.
  • Rather than grouping similar patients, by either
    syndrome (e.g. schizophrenia) or by delusion type
    (e.g. persecutory)
  • we can select a symptom (delusion) and aim to
    include multiple aetiologies in the group.
  • Common behavioural effects can then be extracted
    post-hoc
  • ..and related to the common psychopathology (in
    this case pathologies of belief).

12
Holistic Belief Models
  • Many theories talk about the web of belief but
    at the moment this is still a black box.
  • Coherence Theory (Thagard, 2000) gives one
    possible way of modelling this.
  • Element (beliefs) have constraints between them
    to either encourage connected beliefs to be
    accepted or rejected.
  • Elvis lives vs Elvis is buried at Graceland
  • We aim for maximum coherence in our belief set.

13
Coherence Theory Approach
  • Computing maximum coherence is a computationally
    intractable problem.
  • But Hopfield style interconnected neural nets are
    very good at creating best fit solutions.
  • This allows for dynamic and holistic modelling of
    belief states.
  • As well as the ability to test theories of
    pathology on the network, leading to testable
    predictions.

14
Conclusion
  • Cognitive neuropsychiatry as applied to belief
    presents some unique challenges.
  • The neuropsychological approaches derived from
    theories of modularity may not be as useful.
  • Work from similar challenges in executive system
    research may be fruitful.
  • Novel approaches (such as coherence theory) may
    be needed to understand wider issues in the
    neuropsychology of belief and pathologies of
    belief.
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