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Overview of Cognitive Neuroscience

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Title: Overview of Cognitive Neuroscience


1
Overview of Cognitive Neuroscience
  • Russell A. Poldrack
  • UCLA Department of Psychology and Brain Research
    Institute

2
What is cognitive neuroscience?
  • The science of how the brain creates the mind
  • The questions of cognitive neuroscience are
  • What are the neural building blocks of cognition?
  • What is the computational function of these
    building blocks, and how do they relate to one
    another
  • There are many possible levels of analysis in
    neuroscience
  • We need to choose the right level for the
    question at hand

3
Levels of analysis in neuroscience
1 m
CNS
systems
10 cm
maps
1 cm
networks
1 mm
neurons
100 µm
synapses
1 µm
molecules
10 nm
After Churchland Sejnowski, 1992
4
How might we study the brain?
  • What are the experimental methods of
    neuroscience?

5
How might we study the brain?
  • Phrenology
  • Studied brain function by measuring the size of
    bumps on the skull
  • Early phrenologists were true scientists, but
    later it was adopted by charlatans

Source History of Phrenology on the Web
6
The fate of phrenology
  • What it got right
  • Mental functions can be localized to particular
    regions in the brain
  • What it got wrong
  • Method was subjective and qualitative
  • Open to bias, both intentional and unintentional
  • One basic assumption was incorrect
  • The shape of the skull does not reflect the shape
    of the brains surface
  • Another basic assumption was mostly wrong
  • Size of region does not reflect the function of
    that region
  • However, the size of cortical regions does
    reflect experience
  • Basic psychology was incorrect
  • Localization is not based on the kind of mental
    faculties identified by phrenologists (e.g.,
    philoprogenitiveness)

7
How might we study the brain?
  • Lesion method
  • Study of patients with brain lesions
  • Due to stroke, tumor, injury
  • Came to prominence in late 1800s with work of
    Broca, Wernicke, and others
  • Also used to study brain function in experimental
    animals

8
Virtual lesions using TMS
  • Transcranial magnetic stimulation
  • Allows disruption or alteration of cortical
    function by induced electrical activity

9
Lesion method
  • Strengths
  • Allows determination of whether a particular
    brain region is necessary for a particular
    cognitive function
  • Lesions can be verified (using imaging or
    post-mortem analysis)
  • Can be used in animals to produce very
    anatomically precise lesions
  • Weaknesses
  • In humans, lesions are usually large messy
  • Some regions are more susceptible than others
  • Lesions usually affect underlying passing fibers
  • Does the lesion effect reflect destruction or
    disconnection?

10
How might we study the brain?
  • Neurophysiology
  • Measurement of electrical activity
  • In humans, implanted electrodes are used in
    neurosurgical planning
  • Either implanted or on cortical surface during
    craniotomy
  • In animals, arrays of electrodes can be implanted
    for extended periods for recording

Source Penfield Rasumussen (1952)
11
Neurophysiology
  • Strengths
  • Allows direct measurement of neural activity
  • High temporal and spatial resolution
  • Weaknesses
  • Limited to a small number of neurons
  • In humans, use is limited to patients who have
    brain pathology
  • The region being investigated is often abnormal

12
How might we study the brain?
  • Neuroimaging
  • Noninvasive techniques for measurement of brain
    activity
  • What aspects of brain function can be measured
    non-invasively?
  • Electrical activity
  • Electroencephalography (EEG)
  • Magnetoencephalograhy (MEG)
  • Blood flow
  • Positron Emission Tomography (PET)
  • Functional magnetic resonance imaging (fMRI)
  • Optical imaging

13
Behavior (accuracy, RT)
14
The goal of cognitive neuroscience is to
establish these links - But how?
15
Forward inference
16
Reverse inference
17
Assessing reverse inference using the BrainMap
database
  • Does activation in Brocas area imply that
    language is engaged?
  • Searched for studies showing activation in
    Brocas area
  • Look for all studies coded as Language studies

Poldrack, 2006, TICS
18
P(Brocas)0.113
P(BrocasLang)166/(166703)0.191
P(BrocasLang)199/(199 2154)0.085
P(
e.g. P(LangTaskJ)0.5 P(LangTaskJ,
Brocas)0.69
Bayes Factorposterior odds/prior odds2.3 (BFlt 4
considered weak)
Poldrack, 2006, TICS
19
Experimental designs
  • Goal
  • Determine how cognitive processes relate to brain
    systems
  • How can we do this?
  • Simple approach
  • Subtraction
  • More complex approaches

20
Simplest approach The subtraction method
  • Acquire data under two conditions
  • These conditions should differ only in the
    cognitive process(es) of interest
  • Compare brain images acquired during those
    conditions
  • Regions of difference reflect activation due to
    the process of interest

Petersen et al., 1988
21
The pure insertion assumption
  • Subtraction requires a strong assumption of pure
    insertion
  • Insertion of a single cognitive process does not
    affect any of the other processes
  • Cf. Additive factors logic for reaction time
    (Donders/Sternberg)
  • Failure of PI means that the results may not
    actually reflect the specific cognitive process
    being manipulated
  • There are many examples of how this might fail

22
Failure of the PI assumption
  • Jennings et al. (1997)
  • Compared semantic and letter judgment tasks with
    three different response modalities (mouse,
    vocal, and silent mental)
  • Task and response modality interacted in left
    prefrontal cortex

LIPC
23
More complex designs
  • Parametric designs
  • Vary a single parameter over a range of values
  • Factorial design
  • Combine several variables factorially and examine
    their interaction
  • Repetition designs
  • Examine the effects of repeating the same
    stimulus/task

24
Things to keep in mind
  • Task design is critical
  • Lack of proper control can lead to confounds that
    make interpretation of results difficult or
    impossible
  • Behavior is critical
  • Differences in task difficulty can lead to
    non-specific differences in activation

25
Overview of course
  • Morning
  • Basics of neurobiology, computation, and
    development
  • Afternoon
  • Review of specific systems
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