Week 4

Eye-tracking with Neuroimaging

Today's roadmap

  • Neuroimaging in language research: an overview
  • Eye movement data vs. Neuroimaging data
  • Co-registration of eye movements and neuroimaging data
  • Case: In Search of Prediction during Language Processing

Neuroimaging in language research

Neuroimaging in language research

Electroencephalography (EEG)

  • Recording of spontaneous electrical activity of the brain

Neuroimaging in language research

Electroencephalography (EEG)

  • Recording of spontaneous electrical activity of the brain
  • High temporal resolution: data at millisecond scale
  • Low spatial resolution: difficult to locate the signal's origin
  • Non-invasive: safe for the participant

Neuroimaging in language research

Event-related Potentials (ERPs)

  • EEG signals time-locked to the onset of an event
  • Averaged ERP response consist of components

Neuroimaging in language research

The N400 and lexical/semantic processing

  • A negative-going ERP component peaking around 400ms after stimulus onset
  • Larger N400 response to unexpected than expected words
  • (1a) I take coffee with cream and sugar.
  • (1b) I take coffee with cream and socks.

Neuroimaging in language research

The N400 and lexical/semantic processing

  • A negative-going ERP component peaking around 400ms after stimulus onset
  • Larger N400 response to unexpected than expected words

Neuroimaging in language research

Functional Magnetic Resonance Imaging (fMRI)

Neuroimaging in language research

Magnetic Resonance Imaging (MRI)

  • Strong magnetic fields causing hydrogen protons to align
  • Radio frequency (RF) pulses excite the protons
  • Protons emit a signal when returning from excited to equilibrium state
  • Scanner captures this signal and computes images

Neuroimaging in language research

Magnetic Resonance Imaging (MRI)

Neuroimaging in language research

Functional Magnetic Resonance Imaging (fMRI)

  • A way to acquire MRI images that measures blood-oxygen-level dependent (BOLD) signals
  • Provides indirect measure of neural activity:
  • When a brain region is activated, it calls for more blood flow
  • Which can be measured by the scanner

Neuroimaging in language research

Functional Magnetic Resonance Imaging (fMRI)

  • High spatial resolution: images at millimetre scale
  • Low temporal resolution: blood reactions are slow
  • Non-invasive: safe for the participant

Neuroimaging in language research

Functional Magnetic Resonance Imaging (fMRI)

  • The language network:

Eye movement vs. Neuroimaging

Eye movement vs. Neuroimaging

  • Research benefits from the complementarity of different methods
  • Eye movement data can be discussed alongside neuroimaging data
  • For example, comparing predictable and unpredictable words, we find:
    • Shorter reading times
    • Smaller barin responses (N400)

Co-registration

Co-registration

  • Advances in technology allows direct combination of eye-tracking and neuroimaging
  • In this case, eye-tracking serves as an index of what is being processsed
  • And neuroimaging provides information about how the visual information is processed

Co-registration

Eye-tracking with EEG

  • Traditional ERP experiment use rapid serial visual presentation (RSVP)
  • (Because eye movements can distort EEG signals)
  • But RSVP differs from natural reading experiences

Co-registration

Eye-tracking with EEG

  • Eye-tracking-EEG coregistration allows EEG recording in natural reading tasks
  • Fixation-related potentials (FRPs)

Co-registration

Eye-tracking with fMRI

  • Although traditional fMRI experiments use block designs
  • Event-related fMRI allows more subtle manipulations
  • But without eye-tracking, event-related fMRI suffer from the same limitations of RSVP

Case: In Search of Prediction during Language Processing

FRPs and the Effect of Predictability

Effects of predictability is well-documented.

Pre- vs. Post-lexical effects:

Are predictable words simply easier to integrate, or

Do people actively predict upcoming language?

FRPs and the Effect of Predictability

Kretzschmar et al. (2009)

(2a) The opposite of black is white. (Expected/ANT)

(2b) The opposite of black is green. (Related-unexpected/REL)

(2c) The opposite of black is cold. (Unrelated-unexpected/NON)

FRPs and the Effect of Predictability

Kretzschmar et al. (2009)

An N400 effect is observed at the last fixation before the target word (cold > green = white).

At which point lexical processing of the target word hadn't begun (only parafoveal preview).

Supporting active prediction of the expected word during reading.

FRPs and the Effect of Predictability

Fixation-related fMRI and Syntactic Prediction

Bonhage et al. (2015)

Predictive gaze reading task:

  • RSVP up to the pre-final word
  • Delayed display of final word associated with grammatical category

Fixation-related fMRI and Syntactic Prediction

Bonhage et al. (2015)

Predictive gaze reading task:

  • RSVP up to the pre-final word
  • Delayed display of final word associated with grammatical category
  • Anticipatory eye movements toward target location accompanying syntactic prediction

Fixation-related fMRI and Syntactic Prediction

Bonhage et al. (2015)

(3a) Er wollte das wilde Pferd ohne sattel. (Sentence)

          He wanted the wild horse without saddle.

(3b) Er wollte das pfirde Sit ohne Wilttel. (Jabberwacky)

(3a) Te Teloh wull Pfirter sit nede wildas. (Non-words)

Fixation-related fMRI and Syntactic Prediction

Bonhage et al. (2015)

  • Anticipatory eye movements to the correct grammatical category observed for both Sentence and Jabberwacky, supporting syntactic prediction.
  • Fixation-related fMRI reveals brain regions associated with syntactic prediction:

Fixation-related fMRI and Syntactic Prediction

Bonhage et al. (2015)

  • Fixation-related fMRI reveals brain regions associated with syntactic prediction.
  • Identified regions are associated with linguistic and non-linguistic processing of sequential information.

Today's roadmap

  • Neuroimaging in language research: an overview
  • Eye movement data vs. Neuroimaging data
  • Co-registration of eye movements and neuroimaging data
  • Case: In Search of Prediction during Language Processing