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Neuroimaging

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Title: Neuroimaging


1
Neuroimaging
  • What is neuroimaging?
  • Types of neuroimaging
  • Subtractive methodology
  • What can neuroimaging tell us about cognition?
  • Summary

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Brief History of Brain Mapping
  • In 1929 Berger first recorded brain electrical
    activity (EEG) at the human scalp suggesting it
    could be a tool to investigate mental states.
  • In the 50s the introduction of radioactive
    tracers as a quantitative measure to study blood
    flow, and later the use of X-ray CT scan and PET
    provided effective methods to study the brain.
  • The introduction of fMRI offered the use of a
    non-invasive technique which could be applied to
    the study of cognitive function in normal
    volunteers using the subtractive methodology.

4
Electro-encephalography (EEG)
  • Electric and magnetic activity occurs naturally
    in the brain and seems to encode information
    about brain functions thus allowing us to make
    some inferences about mental states.
  • In EEG, a number of electrodes are placed over
    the scalp and these record the activity of
    neurons over a period of time (temporal).
  • The EEG trace varies according to the general
    state of the brain (asleep, awake etc).

5
EEG
  • When we are quiet or asleep, EEG waves are
    synchronised, with a wave-like shape, with waves
    being of a particular amplitude and frequency
    (usually alpha waves, 8-12 Hz).
  • When we are awake and thinking, the EEG wave
    tends to be de-synchronised, which means there is
    an irregular electrical activity.
  • Electrical and magnetic activity in the brain can
    be time-locked to a specific stimulus or event,
    and event-related potentials (ERPs) or
    event-related fields (ERFs) can be measured.

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Event Related Potentials (ERP)
  • ERPs are a sequence of positive and negative
    voltage deflections or components (N400) that
    have specific time delays and wave shapes.
  • The evoked response to a single stimulus at the
    scalp is tiny and is extracted from background
    activity by means of the averaging technique
    which enhances the amount of signal and reduces
    the amount of noise to nearly zero.
  • Brain activity is revealed by ERPs with a very
    high degree of temporal precision (milliseconds)
    but with a rather poor spatial resolution.

7
Positron Emission Tomography (PET)
  • The brain stores no oxygen and little glucose so
    the energy necessary for continuous neural
    activity depends on blood supply.
  • Measures of blood flow can be obtained by means
    of a tracer in the blood which can provide
    valuable information on brain activity.
  • PET uses radioactive tracers, usually 15O2, which
    have a short half-life (approximately 2 minutes)
    and this allows the experimenter to perform
    several scans on the same subject.

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Regional cerebral blood flow (rCBF)
  • A tracer is injected into a vein and it enters
    the brain in about 30 seconds then while it is
    breaking down it gives a picture of regional
    blood flow (rCBF) in specific parts of the brain.
  • As the tracer breaks down to its stable form, it
    emits a positron, which will collide with an
    electrode to produce two annihilation photons and
    these are detectable by the imaging device.
  • The spatial resolution of PET is determined by
    the distance traveled by the positron before its
    annihilation, and is approximately 2-3 mm.

10
Data analysis
  • The classical approach to imaging techniques uses
    the so-called ROI (region-of-interest) approach
    regions that would be analysed for changes in
    blood flow or metabolic activity are chosen
    a-priori and then scanned.
  • This approach is best applied when the brain
    region is known in advance i.e. the primary
    sensorimotor cortices such as vision/audition.
  • A-priori approach not suited to higher functions
    such as language and attention because of
    individual differences in brain localisation.

11
Subtraction methodology
  • PET studies use a different approach called the
    subtraction methodology.
  • In this approach two different brain states are
    compared a control state (usually rest) which is
    subtracted from a task state (usually a decision)
    in order to create a difference image.
  • This image tells us which areas in the brain are
    involved in the task state.
  • Depends on an assumption of feed-forward
    information processing (see Van Orden, 2001).

12
Problems with subtraction methodology
  • True theories of cognition?
  • Modularity?
  • Feedback effects (interactivity)?

13
Pure insertion?
  • The assumption of "pure insertion".
  • This assumption is the main criticism leveled at
    PET studies by comparing a task state to a
    control state we assume that the differences we
    observe represent the processing components
    introduced by the task itself and do not reflect
    the processes of the control state at all.
  • This can be overcome by designing the control
    task to contain the same components as the E
    (experimental) task except for the critical
    variable of interest.

14
Averaging data
  • PET results are usually averaged across subjects
    in order to enhance the signal-to-noise
    properties of the images.
  • Averaging is a controversial procedure but the
    averaging principles that are used in PET studies
    are common to all subjects and the algorithms
    used for both across-subjects and within-subjects
    averaging are very powerful.
  • The subtraction and averaging techniques require
    a common reference system for the localisation of
    activated areas in each brain.

15
Talairach co-ordinates
  • Most researchers refer to various brain regions
    according to Brodmanns areas or classical names
    such as that of Broca's area but the use of
    standardised reference points is preferable.
  • A common reference system is provided by the
    Talairach stereotaxic space atlas of the human
    brain and software packages (e.g. SPM) have been
    developed to standardise brain images.
  • This methodology allows us to define areas of
    activation, their borders and volume in a
    commonly accepted and comprehensible way.

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Magnetic Resonance Imaging (MRI)
  • MRI is a non-invasive technique that uses a
    magnetic field in order to elicit a detectable
    signal that can create a spatial brain image.
  • The subject is placed in a uniform magnetic field
    and an appropriate radio-frequency is then
    transmitted through the field for a brief period.
  • Resonance in atomic nuclei (hydrogen atoms) are
    detected by a receiver coil around the head
  • An image of the brain can be formed in which
    tissue of different density are distinguishable
    with a spatial resolution of about 2 millimetres.

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Functional MRI (fMRI)
  • Several techniques have been developed to adapt
    MRI as a measure of brain structure to measuring
    brain activity using blood flow.
  • The most commonly technique is the Blood Oxygen
    Level Dependent (BOLD) method.
  • fMRI does not require external tracers but uses
    instead the magnetic properties of an internal
    substance (haemoglobin) in order to provide the
    tracer by which brain activity can be analysed.

20
Oxygen metabolism
  • Neural activity causes a large increase of blood
    flow but a small change in oxygen consumption
    leading to an increase in the proportion of
    oxygenated haemoglobin in brain tissue.
  • The magnetic properties of oxygenated haemoglobin
    differ from those of deoxygenated haemoglobin so
    activate areas are visible by changes in signal
    intensity measured by MRI.

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Echo planar imaging (EPI)
  • fMRI images are collected sequentially.
  • Fast data acquisition techniques such as echo
    planar imaging (EPI) are used to avoid the image
    recorded at one point in the brain reflecting
    activity occurring at a slightly different time
    in another part of the brain.
  • One property of fMRI is the opportunity to run
    correlational studies because it is possible to
    look for a temporal correlation between a
    particular input (e.g. a stimulus) and the
    resulting response in one part of the brain.

23
Data analysis
  • fMRI data are collected as a rapid sequence of
    scans making it possible to observe the changes
    occurring in brain activity in different areas at
    many different points in time.
  • Data analysis in fMRI studies is approached by
    using thresholding techniques an approach which
    proved to be powerful in PET.
  • These methods attempt to fix a-priori a threshold
    above which a response can be considered
    statistically significant.

24
Statisitical Parametric Mapping (SPM)
  • Software packages have been produced for this
    purpose among them SPM (statistical parametric
    mapping) is the best known.
  • Statistical parametric maps are images in which
    voxels are distributed according to a probability
    density function based on activity.
  • These maps are images of significance whose
    simplest forms are t scores based on repeated
    measurements of rCBF data in two different brain
    states (e.g. task vs control).

25
Block Timing Diagram
X2
PS picture semantics PB picture size
judgement CS character semantics CB character
size judgement
26
Word stimuli
Associative Semantics
Size Judgment
27
Character stimuli
Associative Semantics
Size Judgment
28
Picture stimuli
Associative Semantics
Size Judgment
29
Bold amplitude signal
change
Fig. 4
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Magnetoencephalography (MEG)
  • Magnetoelectroencephalography (MEG) can be
    performed during fMRI scans of the brain by
    deriving event-related magnetic fields (ERFs).
  • MEG has the same temporal resolution as EEG but
    also allows the experimenter to localise the
    source of the ERF quite reliably.
  • This enables direct intervention and precise
    monitoring of electrical activity in the brain
    with reliable spatial resolution (2 for the price
    of 1).

34
Problems with MEG
  • This spatial resolution is restricted to the gyri
    and sulci of the lateral surface of the brain
    that are oriented parallel (near to) the scalp.
  • Therefore MEG cannot tell us anything about the
    activity of the bulk of the human neo-cortex
    under the lateral surface at this stage.
  • It is useful for measuring the reaction time
    taken to perform a cognitive task (like reading)
    and for tracking changes in location that occur
    during brain activity over time intervals.

35
Summary
  • Different methods of brain imaging can give a
    converging picture of how the brain works.
  • Brain imaging studies may tell us about the
    regions of the brain that are used for specific
    behaviours and possibly cognitive processes.
  • Brain imaging studies can be used to test
    hypotheses derived from cognitive theories.

36
References
  • Bub, D.N. (2000). Methodological issues
    confronting pet and fMRI studies of cognitive
    function. Cognitive Neuropsychology 17(5), 467 --
    484
  • Poeppel D. (1996a) A critical review of PET
    studies of phonological processing. Brain and
    Language, 55, 317-351.
  • Poeppel, D. (1996b). Some remaining questions
    about studying phonological processing with PET
    Response to Demonet, Fiez, Paulesu, Petersen, and
    Zatorre. Brain and Language, 55, 380-385.
  • Van Orden, G.C. and Paap, K.R. (1997). Functional
    neuroimages fail to discover pieces of mind in
    the parts of the brain. Philosophy of Science, 64
    (4S)S85-S94.
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