Lecture 2 Flashcards

1
Q

Double Dissociation

A
  • allows researchers to determine whether two cognitive functions are independent of one another
  • when lesions have converse effects on two distinct cognitive functions
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2
Q

Diffusion Tensor Imaging (TDI)

A
  • variant of MRI
  • measures the movement of water molecules from the brain
  • can infer the location of white matter fibres (structural [not functional] connectivity
  • connectivity between brain regions
  • Often used to compare different individuals brain structure and neurodevelopmental disorders (e.g. ADHD/OCD/ASD
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3
Q

Functional near infrared spectroscopy (fNIRS)

A
  • optical imaging method (fitbit)
  • Shine light in to a substance from diode (brain) to a diode that measures the light coming out. What’s not coming out has been absorbed by the tissue.
  • Measures blood flow in the brain (similar to MRI)
  • works as haemoglobin and deoxyhaemoglobin have different absorption rates
  • cheaper and more straightforward that fMRI, also allows movement (good for children)
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4
Q

Electroencephalography (EEG)

A
  • EEG measures electrical signals generated by the brain via electrodes placed at the scalp
  • Produced by partial synchronisation of cortical field activity and are measured as changes in voltage, recorded at the scalp, over time
  • Summation of 10,000s of post synaptic potentials
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5
Q

International 10-20 system

A
  • international comparison for EEG
  • letters represent brain regions
  • z is middle line
  • O (occipital), P (parietal), C (central), F (frontal), T (temporal)
  • odd numbers on left side of face (looking away)
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6
Q

Event related potential (ERP)

A
  • Time domain analysis (how does the EEG change over time or to an input)
  • Provides an indication of brain response to a particular event
  • used to inform about cognitive psychology
  • The amplitude at a given point can also be plotted as a heat map (shows how ERP is distributed across the scalp)
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7
Q

Epoch

A
  • Small chunk of the data 100ms from before and after stimulus
  • Pink lines represent where you see an event/stimulus
  • hard to see difference in one epoch, so an average of many is taken
  • when averaged together the random changes (noise/artefacts) in ERP go to 0 (cancels out) as the response to the stimuli is the
  • The peaks and troughs show neurons firing at different times (even negative [below 0] still shows activity - just shows where the network is in the scalp, there is still activity)
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8
Q

components/deflections

A

Peaks and troughs in components in waveform

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9
Q

P

A

positive deflect

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10
Q

N

A

negative deflections

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11
Q

Amplitude

A
  • y axis of graphs
  • this is the size of the peak or trough in the waveform
  • It is measured in micro volts (uV)
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12
Q

Latency

A
  • this is the time when a particular feature of ERP (usually a peak or trough) is seen
  • It is measured in ms, relative to the onset of a particular event (presentation of stimulus)
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13
Q

Visual P1

A
  • generated at the lateral occipital cortex
  • peaks at around 100ms
  • reflects encoding of visual information (increases in amplitude show encoding of visual information)
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14
Q

N170

A
  • response when looking at faces
  • Amplitude of the N1 (N170) view faces compared with other stimuli
  • N170 is large over right hemisphere
  • Suggestive of a neural mechanism dedicated to detecting faces
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15
Q

P300

A
  • P3a (novel stimuli)

- P3b (salient relevance stimuli)

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16
Q

P3a

A
  • generated in the frontal cortex

- peaks at 300ms

17
Q

P3b

A
  • pariteal cortex

- peaks at 400-600ms

18
Q

N400

A
  • 400ms
  • N400 amplitude is larger when following an unexpected word
  • recorded over central parietal
  • greater over left hemisphere sites
  • unusual words elicit a bigger activation
19
Q

EEG data

A

oscillatory waveform

20
Q

Hz

A

frequency of oscillations

21
Q

Delta

A

4Hz

22
Q

Theta

A

4-8Hz

23
Q

Alpha

A

8-13Hz

24
Q

Beta

A

14-30Hz

25
Q

Gamma

A

30-90Hz

26
Q

Fourier transform

A
  • decomposes the waveform into its constituent frequencies
  • when there is mixed wavelengths, the Fourier transform separates them into single wavelengths
  • Output of transform is the amount of signal at those particular frequencies
  • highlights the different kinds of activity within an EEG signal
27
Q

Investigating power

A
  • what kind of wavelengths are being produced

- can be used to look at the likelihood of having a developmental disorder

28
Q

Magnetoencephalogram (MEG)

A
  • pyramidal cells of the cortex when active generate a significant magnetic field
  • from the magnetic field you can infer neural activity
  • requires 10’000’s of firing neurons
  • More stressful as a research method compared to EEG
  • better quality data though