1. Brian Simulator
(a draft)
Speaker : Tony Tseng, Jimmy Lu
Advisor : Hsing Mei
Web Computing Laboratory(WECO Lab)
Computer Science and Information Engineering Department
Fu Jen Catholic University
3. Graph Theoretical
Analysis in AD
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2010/6/6 3
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4. Introduction
AD as a Disconnection Syndrome
Two problems need further attention
Assessment of functional connectivity with EEG
and MEG can be biased by volume conduction
Lack a framework to discriminate between
normal and abnormal networks in the brain
Today’s talk will focus on the theoretical
framework
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2010/6/6 4
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5. Graph Analysis
Brain disease or aging gives rise to a
deviation from the small world
configuration of brain network
Weighted graph reflects
the strength of the relation
between two vertices.
WECO Lab, CSIE dept., FJU
2010/6/6 5
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6. Network Damage Models
The Random Failure Model
Network changes are due to a random decrease
in strength of edges
The Targeted Attack Model
Edges connecting hubs will be more vulnerable
to attack
Our proposed Model
Aging Model
Disease-specific network change model
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2010/6/6 6
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11. Disconnection Syndrome
The classical associationist era
Karl Wernicke’s school: associationism
Fundamental psychic elements or memory
images
Higher functions were not localized in specific
regions but were the result of associative
connections between motor and sensory
memory image area
No cortical specializations
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2010/6/6 11
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13. Disconnection Syndrome
Geschwind’s neo-associationism
Shift away from pure holism
Flechsig’s rule: association cortex acted, in
effect, as an obligatory relay between different
brain regions and that a lesion to it would serve
to disconnect them
A comparative phylogenetic perspective to the
development of associations
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2010/6/6 13
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14. Geschwind’s view of the evolution of cross-modality associations
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2010/6/6 14
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19. What is the purpose?
Short term: Provide an information about
how the Alzheimer’s disease effects brain
structural and functional connectivity
Medium term: extend the models to brain
diseases
Long term: whole brain models including
sleep
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2010/6/6 19
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20. It is based on...
Three types of brain network (structure)
Neural Darwin selection (development)
Hodotopic framwork (syndrome/function)
Default-mode network/resting state (state)
Four stage of Alzheimer’s disease (time)
Hypothesis of Alzheimer’s disease
Damage model (topology)
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2010/6/6 20
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21. Selection of brain features
Self-organized
Degeneracy
Parallel distributed processing (PDP)
Small-world, scale free, random topology
Feed forward and back
Reconfigurations toward damages
Balance and Dynamics
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2010/6/6 21
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22. How does it work?
fMRI
EEG/
MEG
psycho- Proposed Brain
metrics Simulator
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2010/6/6 22
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23. Thalamo- Polysynaptic Diffuse
cortical motif loop structure ascending Space
projections
Network Development Model
Developmental Experiential Reentrant
Selection Selection Mapping
Time
Network Aging Network
Model Damage Model
Decision Making Model Balance
&
Dynamics
Proposed brain simulator
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2010/6/6 23
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24. Reference
[1] C. J. Stam, W. de Haan, A. Daffertshofer, B. F. Jones, I. Manshanden,
A. M. van Cappellen van Walsum, T. Montez, J. P. A. Verbunt, J. C. de
Munck, B. W. van Dijk, H. W. Berendse and P. Scheltens, “Graph
theoretical analysis of magnetoencephalographic functional
connectivity in Alzheimer’s disease”, Brain 2009: 132; 213–224
[2] Marco Catani, Dominic H. ffytche, “The rises and falls of
disconnection syndromes”, Brain 2005: 128, 2224–2239
[3] “Alzheimer's disease ”, Wikipedia
http://en.wikipedia.org/wiki/Alzheimer's_disease
[4] Gerald M. Edelman, “Wider than the Sky: The Phenomenal Gift of
Consciousness”, Yale University Press (March 10, 2004)
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2010/6/6 24
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