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Lack of sleep Lack of learning in Williams Syndrome

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Reiss et al, J Cog Neurosci volume 12 Suppl 1 ... Cell measures differ in peripheral visual cortical fields of WS ... achromatopsia. topographical impairments ... – PowerPoint PPT presentation

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Title: Lack of sleep Lack of learning in Williams Syndrome


1
Lack of sleep- Lack of learning in Williams
Syndrome?
INTERNATIONAL WILLIAMS SYNDROME SYMPOSIUM25th
June 2005, Fonyod
Ilona Kovács, Budapest U. of Technology Gábor
Pogány, Budapest U. of Technology Ákos Fehér,
Rutgers U., USA Petra Kozma, Retina Foundation,
USA
2
Reiss et al, J Cog Neurosci volume 12 Suppl 1
3
area 17 histometric resultssigns of abnormal
connectivity
  • Cell measures differ in peripheral visual
    cortical fields of WS
  • Smaller, more tightly packed cells in most layers
    on the left side
  • Cell packing density and neuronal size
    differences may be related to visual spatial
    deficits in WS
  • Galaburda and
    Bellugi, J Cog Neurosci vol 12 Suppl 1

4
Primary visual cortex (V1)
  • Local input analysis
  • L contrast (1 yr)
  • disparity (4 mo)
  • motion (2 mo)
  • color (2 mo)
  • orientation

5
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6
Local cortical filters in V1
On multiple scales
7
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8
D gt 1 D lt 1
D noise spacing / contour spacing
9
(Kovács and Julesz, PNAS, 1993)
10
  • Contour integration in 3-month-olds
  • 60 infants, operant conditioning
  • poor contour integration
  • lack of global integration (closure)

(Gerhardstein, Kovács, Ditre, Fehér Vision
Research, 2004)
11
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12
contour integration card test
13
Contour integration in children
(Kovács, Kozma, Fehér, Benedek, PNAS, 1999)
D
  • 510 children, 60 adults
  • Surprisingly slow curve!!

5-6 y
6-7 y
9-10 y
10-11 y
13-14 y
19-30 y
D noise spacing / contour spacing
14
  • contour integration in children
  • cue specific (no transfer of learning across
    orientation and color)
  • visual immaturity
  • (not the lack of attention or
    motivation)
  • dependent on contour spacing
  • limited cortical connectivity?

15
limited cortical connectivity in children
  • long axonal connections in V1
  • Burkhalter et al, 1993 late maturation of V1
    superficial layers horizontal, and V2-V1
    feedback connections in humans

16
Reiss et al, J Cog Neurosci volume 12 Suppl 1
17
area 17 histometric resultssigns of abnormal
connectivity
  • Cell measures differ in peripheral visual
    cortical fields of WMS
  • Smaller, more tightly packed cells in most layers
    on the left side
  • Cell packing density and neuronal size
    differences may be related to visual spatial
    deficits in WMS
  • Galaburda and
    Bellugi, J Cog Neurosci vol 12 Suppl 1

18
contour integration in Williams Syndrome
  • with
  • C. Pleh, A. Lukacs M. Racsmany
  • Technical U., Budapest
  • P. Kozma
  • Rutgers U., NJ

0.6
0.65
0.7
0.75
0.8
0.85
0.9
  • poor contour integration
  • poor orientation discrimination
  • lack of oblique effect

19
visual skill (procedural, habit) learning
0 º
11-12º
  • shape identification task
  • orientation jitter
  • 5 practice sessions
  • (30 minutes each)

23-24º
with P Kozma, and A Feher Rutgers University
20
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21
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22
Day 1. C
Day 1. W
Day 3. C
Day 3. W
Day 5. C
Day 5. W
Day 7. W
23
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24
  • Basic skill (implicit, procedural) learning
  • Time-course of learning (behavioral studies)
  • Plastic changes in the brain (imaging)
  • behaviorally relevant degree of plasticity is
    retained in the adult mammalian cortex

25
  • perceptual learning in WS
  • abnormalities in the occipital lobe
  • sleep disorders
  • lack of visual skill learning

26
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27
color defined card
28
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29
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30
contour integration in 3-month-old babies
  • lack of closure superiority
  • poor contour integration

31
  • Professional musicians - a good model to
    investigate plastic changes in the human brain
  • Complexity of stimulus
  • Extent of exposure
  • Two steps
  • fast initial phase
  • consolidation, and
  • gradual increase in
  • performance
  • Anatomical changes
  • Planum temporale
  • Anterior corpus callosum
  • Primary hand motor and somatosensory
  • Cerebellum

32
visual development Things start out badly,
then they get better then, after a long time,
they get worse again. (Movshons general law on
visual development, Teller Movshon, 1986)
33
visual development should follow the
maturational pattern of participating cortical
structures
  • connectivity supporting low-level
  • spatial integration is immature
  • connectivity supporting the switch
  • between perceptual interpretations is
  • immature
  • top-down connectivity is immature

34
visual development Things start out badly, then
they get better then, after a long time, they
get worse again. (Movshons general law on
visual development, Teller Movshon,
1986) Visual development is not a homogeneous
process. It might be possible to map it in terms
of the maturational pattern of cortical
connectivity.
35
Stages of myelination
1 mo 2 mo
3-6 mo 7-9 mo gt
9 mo (Knaap and Valk, 1990)
36
Growth patterns in the developing brain
(Thompson et al, 2000)
37
visual development should follow the
maturational pattern of participating cortical
structures
38
  • Patient H.J.A. (Humphreys and Riddoch, 1984,
    1987b Riddoch and Humphreys, 1987a)
  • posterior cerebral artery stroke
  • bilateral lesions of the occipital lobe
    extending anteriorly towards the temporal lobes
  • dense visual agnosia
  • prosopagnosia
  • alexia without agraphia
  • achromatopsia
  • topographical impairments

MRI (1989) bilateral lesions of inferior
temporal gyrus, lateral occipitotemporal gyrus,
fusiform gyrus, lingual gyrus (Riddoch et al,
Brain, Vol. 122, No. 3, 1999)
39
Eric R. Kandel Nobel in 2000 signal
transduction in the nervous system
  • Two steps in synaptic plasticity
  • short-term memory (protein phosphorylation in
    synapses)
  • long-term memory (protein synthesis, which can
    lead to alterations in shape and function of the
    synapse)

The switch from short- to long-term memory
requires gene expression.
(modification of chromatin structure, chromatin
is the DNA-protein complex that constitutes
chromosomes)
40
  • Switch from short- to long-term memory in humans
  • Animal models are limited in terms of stimulus
  • complexity and the duration of training.
  • Not clear how mechanisms governing synaptic
    plasticity
  • at the cellular level are related to the
    flexibility of operations
  • seen for large-scale neuronal networks.
  • Big questions
  • Is there plasticity in the adult brain?
  • Are more complex functions relying on
    the same
  • mechansims of learning?
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