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Neuroscience and neuromythology

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Title: Neuroscience and neuromythology


1
Neuroscience and neuromythology
Australian Guidance Counsellors Association
Annual Conference Hobart, April 2009
  • John Geake
  • School of Education
  • The University of New England
  • Armidale, NSW

2

Daily Telegraph, December 1997
3
1 neuroimage 1K words?
  • ve media and political recognition of a role
    for neuroscience in social policy education,
    criminology, age-care ...
  • -ve misinterpretations that these areas which
    light up are solely responsible for a
    particular type of mental activity

4
General Limitations of Neuroimaging
  • Structure function mappings are not one to one
    no unambiguous neural correlates of learning
    difficulties, styles
  • Surrogate measures of brain activation
    activation models may be incomplete
  • Individual differences in brain structure
    function activation maps are statistical
  • The brain is structurally very complex brain
    function is nonlinear its a tough problem

5
Positron Emission Tomography (PET)
PET images metabolism in active areas of the
brain using emissions of a radioactive tracer
(oxygen in glucose) in the blood.
Posner Raichle, 1994
6
Fischbach, Scientific American, 1992, courtesy M.
Raichle
all of which we do simultaneously and in synchrony
7
EEG measures electrical activity of active areas
of the brain using multiple electrodes placed
over the scalp
Quik-Cap, NeuroMedical Supplies
8
Event-related potentials (ERP)
ERP data consist of changes in the EEG in
response to experimental stimuli. The waveforms
of interest typically occur 100, 300 or 400
milliseconds after the stimulus onset. In other
words, ERP data is temporally sensitive.
However, as the extra-scalp electrical
field is a result of widespread neural activity,
the technique is insensitive to spatial
correlates.
9
MEG Aston University neuroimaging lab
The tiny magnetic fields produced by brain
activity can be measured using Superconducting
Quantum Interference Devices or SQUIDs
The SQUIDs operate at superconducting
temperatures. The sensors are therefore placed in
a dewar containing liquid helium.
CTF 151 channel system
10
The first half-second of visual word recognition
Morten Kringelbach in collaboration with Kristen
Pammer, Peter Hansen, Piers Cornelissen, Gareth
Barnes, Krish Singh Arjan Hillebrand,
Neuroimage, (2004).
11
Ecological validity inside a scanner vs. inside
a classroom
FMRIB Centre, Oxford
Functional magnetic resonance imaging (fMRI)
images blood oxygen level changes in active areas
of the brain using the interaction of pulsed (RF)
resonant energy with a very strong magnetic field
(3.0 T)
12
MRI creates structural brain images
Insert time fmri series
13
Foetal brain growth
14
(No Transcript)
15
(ADR high)
(ADR lowest)
The red areas are statistical mountain peaks
(histograms) Z 2.3
Experimental areas of interest found by
contrasting criterion with control activations
16
BOLD signal vs stimulus change in one active
voxel
17
fMRI data are mostly group averages
MRI - sagittal orientation 2-3mm off the
midline left hemisphere
18
fMRI - individual activation vs group map
19
interpretation
20
When a brain lights up in response to a task X
...
  • ... a statistical map (coloured histogram, z gt
    2.3) on an ideal brain image (computer generated)
  • of a group average (N 12 15) of right-handed
    subjects (not too old, not too young, not too
    big, not myopic, not pregnant, not
    claustrophobic, no metal, no pacemaker ...)
  • doing multiple X (variations or repeats gt 40
    times )
  • differential activation (X vs control task, X
    control task)
  • measured by BOLD (blood oxygen level dependent)
    signal ( reduction in deoxygenated haemoglobin
    concentration) from (assumed) neurally-induced
    local increased blood flow due to enhanced
    vasculature dilation
  • in contiguous clusters of most (?) (but not all
    of) the voxels (1 - 3 mm3) of brain tissue (2.5
    7 x 106 neurons) where the majority of neurons
    are active (excitatory and/or inhibitory)
  • assumed to be associated with task X.

21
Cognitive neuroscience as bootstrapping
  • There is no
  • Users Manual of the Brain

22
The mapping problem
  • Relationships between
  • brain functional modularity
  • and
  • cognitive behavioural categories
  • are not one to one

23
Abandonment of old phrenology
  • To suppose the roof-brain consists of point to
    point centres identified each with a particular
    item of intelligent concrete behaviour is a
    scheme over simplified and to be abandoned.
  • Rather, the contributions which the roof-brain
    makes toward integrated behaviour will resolve
    into components for which we at present have no
    names.
  • Sir Charles Sherrington, Man on His Nature,1938

24
fMRI of subtraction - interconnectivity
Dehaene, 1997
Dehaene Naccache, Cognition, 2001
25
Common brain functions for all acts of
intelligence NB school learning
  • Working memory lt lateral frontal cortex
  • Long term memory lt hippocampus
  • Decision making lt orbitofrontal cortex
  • Emotional mediation lt limbic subcortex ofc
  • Sequencing of symbolic representation lt fusiform
    gyrus temporal lobe
  • Conceptual inter-relationships lt parietal lobe
  • Conceptual rehearsal lt cerebellum

26
Diffusion Weighted MRI or Diffusion Tensor
Imaging (DTI)
Diffusion Weighted MRI or Diffusion Tensor
Imaging (DTI) is an MRI technique in which the
directions of movement of water in white matter
tracts are compared. Significant
directional biases (fractional anisotropy) are
indicative of a more robust interconnectivity of
those tracts.
27
Fibre connectivity from Diffusion Weighted MRI
Connectivity maps of grey matter in pre-motor and
motor cortex Johansen-Berg Behrens, FMRIB
Oxford
Function is determined by input and output
connectivity
28
Can neural cartography inform us about
mathematical thinking in schools?
  • The functional modularity of brain organisation
    predicts that where necessary connections are not
    robust, there will be breakdowns in mathematical
    understanding.

29
Correlation vs Causation
  • Most neuroimaging data (fMRI) inform correlations
    between levels of neural activation and
    behaviour.
  • Opportunistic neuropsychological analyses of
    neural lesions or trauma inform necessity
    conjectures of causation.
  • But, the location and extent of lesions is
    obviously uncontrolled, and due to the
    distribution of major vasculature tracts, spare
    some areas of brain more than others.
  • And, functional interconnectivity and plasticity
    in recovery can limit interpretation of lesion
    data.

30
Transcranial Magnetic Stimulation (TMS)
TMS temporarily disables a small area of brain to
test its necessity for an aspect of behaviour.
31
TMS fMRI gt interconnectivity
Mapping causal interregional influences with
concurrent TMSfMRI. Bestmann, Ruff,
Blankenburg, Weiskopf, Driver, Rothwell Exp
Brain Res (2008) 191383402
32
Neuromyths
  • Neuromytholgies of quantity
  • If we can get more of the brain to light up
    then learning will improve ...
  • using only 10 percent of our brains
  • brain gym
  • Neuromytholgies of quality
  • If we concentrate teaching on the lit-up brain
    areas then learning will improve ...
  • left and right brain thinking
  • VAK learning styles

33
AGCA 2009Neuroscience and neuromythology
  • We only use 10 of our brains

34
Sources of the 10 myth
  • Italian neuro-surgery removing scoops of brains
    of psychiatric patients (1890)
  • Einstein imploring us to think more (1920)
  • American advertisers of home-help manuals (1930)
  • Wishful thinking educationists (1980 - 2000)

35
The absurdity of the 10 myth
  • Evolution does not produce excess, much less 90
    excess.
  • In the millions of neurological studies ever
    conducted, no one has ever found an unused
    portion of the brain!
  • Beyerstein, 2004

36
AGCA 2009Neuroscience and neuromythology
  • There is left- and right-brain thinking, and
    left- and right-brained people

37
Kolb Wishaw, 1996
38
Semantic system is left lateralised
  • language left hemisphere
  • graphic emotional right hemisphere
  • A significant quantitative bias found in the
    brains of extremely right-handed subjects.
  • It is dangerous to suppose that language
    processing only occurs in the left hemisphere of
    all people.

Thierry, Giraud Price, Neuron, 2003
39
AGCA 2009Neuroscience and neuromythology
  • There are individual sensory learning styles
    visual, auditory, kinaesthetic

40
Brain interconnectivity includes the senses
  • All primates are V A K
  • including humans
  • All primates construct spatial maps
  • including blind humans!

41
Visual-auditory cross-modal binding
reinforcing additive interfering
subtractive
42
5 year olds can reliably distinguish different
sized groups (V x V)
?
vs
43
5 year olds can reliably distinguish different
sized groups (V x V)
?
vs
What happens when one group is replaced by as
many sounds (V x A)?
?
vs
44
5 year olds can reliably distinguish different
sized groups (V x V)
?
vs
What happens when one group is replaced by as
many sounds (V x A)?
?
vs
No change in accuracy!
45
VAK not learning styles but pre-learning
perceptual acuities
  • Input modalities in the brain are inter-linked
  • visual auditory
  • visual motor
  • motor auditory
  • visual taste
  • Input information is abstracted to be processed
    and learnt, mostly unconsciously, through the
    brains interconnectivity

46
VAK classroom paradoxes
  • The V and K learners at a concert
  • The A and K learners at an art gallery
  • The V and A learners in a craft practical lesson

VAK research
  • 121 different learning style inventories
  • Commercially available
  • Independent research no learning benefit from
    any
  • No improvement of learning outcomes with V, A,
    K above teacher enthusiasm
  • attempts to focus on learning styles were wasted
    effort Kratzig Arbuthnott (2006)

47
Why do VAK and other learning-styles seem so
attractive?
  • folk psychology we seem to learn differently
    from each other, and we have 5 senses
  • has created
  • folk neuroscience the working of our brains
    directly reflects our folk psychology
  • BUT
  • if our brains were that simple we wouldnt be
    here today!

48
Visual learners convert words to pictures in
the brain, and vice versa
Kraemer et al, 2009, University Pennsylvania
49
AGCA 2009Neuroscience and neuromythology
  • There are multiple intelligences

50
Nothing new here ...
  • Plato (500 BC)
  • logic
  • rhetoric
  • arithmetic
  • geometry-astronomy
  • music
  • dance-physical
  • meditation
  • Gardner (1980 AD)
  • logic-mathematics
  • verbal
  • interpersonal
  • spatial
  • music
  • movement
  • intrapersonal

51
Nothing new here ...
  • Plato (500 BC)
  • logic
  • rhetoric
  • arithmetic
  • geometry-astronomy
  • music
  • dance-physical
  • meditation
  • Gardner (1980 AD)
  • logic-mathematics
  • verbal
  • interpersonal
  • spatial
  • music
  • movement
  • intrapersonal

52
Common brain functions for all acts of
intelligence NB school learning
  • Working memory lt lateral frontal cortex
  • Long term memory lt hippocampus
  • Decision making lt orbitofrontal cortex
  • Emotional mediation lt limbic subcortex ofc
  • Sequencing of symbolic representation lt fusiform
    gyrus temporal lobe
  • Conceptual inter-relationships lt parietal lobe
  • Conceptual rehearsal lt cerebellum

53
AGCA 2009Neuroscience and neuromythology
  • There are structural and functional differences
    between male and female brains

54
Sex differences in neurogenesis
  • Differing relative concentrations of
    testosterone and oestrogen as neurotaxic agents
    produce sex differences in neuroanatomy
  • e.g. females - larger corpus callosum
  • males - denser parietal areas

55
Males larger parietal areasFemales - larger
corpus callosum
  • Sex-linked preferences for processing
    different types of information

Posner Raichle, 1994
56
Each brain has a unique configuration of gyri and
sulci
  • Secondary and tertiary sulci are not found in
    all individuals.
  • In addition, the sulci can have very different
    configurations.
  • Cortical structures are individual, like
    fingerprints.

Rorden Brett, MRC Brain and Cognition Unit
Cambridge, UK, 2005
57
AGCA 2009Neuroscience and neuromythology
  • There are specific physical activities which
    cause enhanced activation of specific brain
    functions

58
Brain vasculature is bilateral and fractal
Close
  • Exercise that increases blood flow anywhere,
  • increases blood flow everywhere.

59
(No Transcript)
60
If anyone approaches your school with an offer of
a brain-based learning programme, ask them
which neuroscience laboratory they are associated
with.(You dont necessarily want a brain
scientist, but you do need someone who
understands brain science, and the best way to
understand brain science is to work with brain
scientists.)
61
Educational neurosciencecurriculum sequencing
Australian Guidance Counsellors Association
Annual Conference Hobart, April 2009
62
Does abstract mathematical thinking develop from
concrete mathematical thinking?
  • Provocative answer NO!

63
The watershed of fractions
  • The important analogies for understanding
    fractions are initially between abstract quantity
    ratios, not blocks of chocolate.
  • Hence the dissociation between concrete and
    abstract performance, e.g., street sellers.
  • The converse dissociation of kids who get the
    abstract but not the concrete is probably very
    rare since making post hoc analogies with
    concrete examples would be easy once you have the
    abstract.

64
Neural representations of abstract symbols
  • The function of a specific sub-region of the left
    fusiform gyrus (LFG) is the detection of generic
    symbolic sequences.
  • Contrast with the function of specific
    sub-regions of the right fusiform gyrus (RFG) to
    detect faces, and familiar objects.

65
Educational neuroscienceexecutive attention
Australian Guidance Counsellors Association
Annual Conference Hobart, April 2009
66
Complex reasoning in Euclidean geometric
proofKao Anderson, IES, 2006
15 adults, fMRI, 2 x 3 factorial design
67
Complex reasoning in Euclidean geometric
proofKao Anderson, IES, 2006
The critical process to understand appears to be
how proficient problem-solvers integrate problem
givens and diagram information to support their
logical inferences, and how this process differs
in experts, proficient problem solvers, and
novices
68
Educational neurosciencepedagogy
Australian Guidance Counsellors Association
Annual Conference Hobart, April 2009
69
Intraparietal cortex as a potential substrate for
a number sense Eger et al, Neuron, 2003
In an event-related fMRI study, we presented
numbers, letters, and colours in the visual and
auditory modality, asking subjects to respond to
target items within each category. In the
absence of explicit magnitude processing, numbers
compared with letters and colours across
modalities activated a bilateral region in the
horizontal intraparietal sulcus. This
stimulus-driven number-specific intraparietal
response supports the idea of a supramodal number
representation that is automatically accessed by
presentation of numbers and may code magnitude
information.
70
Why the parietal cortex for magnitude AND
visualisation?
Path integration in mammals and its interaction
with visual landmarks Etienne, Maurer and
Seguinot, Journal of Experimental Biology, 1996
During locomotion, mammals update their position
with respect to a fixed point of reference, such
as their point of departure, by processing
inertial cues, proprioceptive feedback and stored
motor commands generated during locomotion. This
so-called path integration system (dead
reckoning) allows the animal to return to its
home, or to a familiar feeding place, even when
external cues are absent or novel.
However, without the use of external cues,
the path integration process leads to rapid
accumulation of errors involving both the
direction and distance of the goal. Therefore,
even nocturnal species such as hamsters and mice
rely more on previously learned visual references
than on the path integration system when the two
types of information are in conflict. Recent
studies investigate the extent to which path
integration and familiar visual cues cooperate to
optimize the navigational performance.
71
Why the parietal cortex for magnitude AND
visualisation?
Parietal cortex evolved to help us find our way
home Whole-body propriocentrism Geometry and
trigonometry in the real world
Classroom application LOGO Turtle!
72
Educational neuroscienceassessment
Australian Guidance Counsellors Association
Annual Conference Hobart, April 2009
73
Nuclear Magnetic Resonance MObile Universal
Surface Explorer NMR-MOUSE
74
Wearable (near) optical topography headsets
75
Chinese dyslexia differences in brain structure
and function
Wai Ting Siok , Zhendong Niu , Zhen Jin , Charles
A. Perfetti, and Li Hai Tan, 2008
  • Conclusion structural and functional basis for
    dyslexia varies between alphabetic and
    nonalphabetic languages.

76
Educational neuroscienceinterdisciplinary
engagement
Australian Guidance Counsellors Association
Annual Conference Hobart, April 2009
77
Importance of involving educators in helping set
the educational neuroscience research agenda
  • Is there a critical period for learning a second
    language? Music? Physics?
  • Should boys and girls be taught separately in
    some subjects?
  • Are the brains of children today different from
    those of previous eras due to high levels of IT
    usage?
  • Are there any predictive correlations between
    differences in brain structure and school
    outcomes?

78
  • Establishment of a methodology for educational
    neuroscience
  • education problem
  • science research question
  • science finding
  • education implication / application

Professional Development in Educational
Neuroscience Gloucestershire Advanced Skills
Teachers Institute for the Future of the Mind,
21st Century School, University of Oxford
79
McGraw-Hill / Open University Press, 2009
80
References academic articles
  • Byrnes, JP Fox, NA (1998) The educational
    relevance of research in cognitive neuroscience,
    Educational Psychology Review, 10(3), 297-342
    (and following commentaries to p412).
  • Coffield, F., Moseley, D., Hall, E.,
    Ecclestone, K. (2004).. Learning styles and
    pedagogy in post-16 learning A systematic and
    critical review (Report No. 041543). London
    Learning and Skills Research Centre.
  • Geake, JG (2004) Cognitive neuroscience and
    education two-way traffic or one-way street?
    Westminster Studies in Education, 27(1), 87-98.
  • Geake, JG (2005) Educational neuroscience and
    neuroscientific education In search of a mutual
    middle way. Research Intelligence, 92, 10-13.
  • Geake, JG Cooper, PW (2003) Implications of
    cognitive neuroscience for education. Westminster
    Studies in Education, 26(10), 7-20.
  • Goswami, U (2004) Neuroscience and education.
    British Journal of Educational Psychology, 74,
    1-14.
  • Goswami, U (2006) Neuroscience and education
    from research to practice? Nature Reviews
    Neuroscience, 7, 406-413
  • Gura, T (2005) Big plans for little brains.
    Nature, 435, 1156-1158.
  • Kratzig, G.P. Arbuthnott, K.D. (2006)
    Perceptual learning style and learning
    proficiency A test of the hypothesis, Journal of
    Educational Psychology, 98(1), p238-246.
  • OECD (2002) Understanding The Brain Towards a
    New Learning Science.
  • OECD (2007) Understanding The Brain Birth of a
    Learning Science.
  • Sharp, JG, Byrne, J Bowker, R. (2007) VAK or
    VAK-uous? Lessons in the trivialisation of
    learning and the death of scholarship. Research
    Papers in Education (in press)
  • Kayser, C. (2007) Listening with Your Eyes.
    Scientific American Mind, April.

81
References for teachers
  • Beyerstein, BL (2004) Ask the Experts Do we
    really use only 10 of our brains? Scientific
    American, 290(6), 86.
  • Blakemore, S-J Frith, U (2005) The Learning
    Brain Lessons for Education, Blackwell
    Publishing.
  • British Neuroscience Association European Dana
    Alliance For The Brain (2003) Neuroscience
    Science of the Brain An Introduction for Young
    Students. Liverpool, BNA.
  • Byrnes, JP (2001) Minds, Brains, and Learning
    Understanding the Psychological and Educational
    Relevance of Neuroscientific Research, Guilford
    Press.
  • Geake, JG (2000) Knock down the fences
    Implications of brain science for education.
    Principal Matters, April, 41-43.
  • Geake, JG (2003) Adapting Middle Level
    educational practices to current research on
    brain functioning. Journal of the New England
    League of Middle Schools, 15(2), 6-12.
  • Geake, JG (2004) How Childrens Brains Think Not
    left or right but both together. Education 3-13,
    32(3), 65-72.
  • Geake, JG (2006) The neurological basis of
    intelligence A contrast with 'brain-based'
    education. Education-Line, www.leeds.ac.uk/educol/
    documents/156074.htm.
  • Geake, JG (2007) A Brainy School Of The Future?
    Learning Matters (in press)
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