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Separating lexical access from decision: an MEG study

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Title: Separating lexical access from decision: an MEG study


1
Separating lexical access from decision an MEG
study
KIT/MIT MEG LAB
  • L. Pylkkänen1,2, A. Stringfellow1,2, M. Kelepir1,
  • A. Marantz1,2
  • 1Department of Linguistics and Philosophy,
  • KIT-MIT MEG Laboratory,
  • Massachusetts Institute of Technology
  • 2Mind Articulation Project, International
    Cooperative Research Project, Japan Science and
    Technology Corporation

2
Introduction
  • What is the timing and location of lexical
    activation in the brain?
  • Evidence from electrophysiological measures
  • There is a response component at 300-400ms (the
    N400 in ERPs or the M350/N400m in MEG) whose
    latency and/or amplitude are affected by some of
    the same stimulus properties that affect reaction
    times (RTs) in various word recognition tasks.
  • Question Does this component reflect a lexical
    or a postlexical process?
  • Goal of the present study
  • To study the M350 elicited by stimuli that make
    lexical activation fast but postlexical processes
    slow. With such stimuli, does the M350 occur
    early or late?

3
What is MEG?
  • Electric activity in the brain (produced by
    neurons firing) can be measured noninvasively
    outside the skull by measuring either the
    electric potential or the magnetic field produced
    by the current.
  • MEG (magnetoencephalography) measures the
    magnetic field. EEG (electroencephalography)
    measures the electric potential.
  • Both MEG and EEG have millisecond by millisecond
    temporal resolution. The spatial resolution of
    MEG is, however, better than the one of EEG since
    electric fields get distorted by the scalp and
    tissue while magnetic fields do not.
  • Of existing brain imaging techniques, MEG has the
    best combination of spatial and temporal
    resolution.
  • The brain's magnetic fields are very weak, and
    therefore sensors employing extremely sensitive
    magnetic detectors known as SQUIDs
    (Superconducting Quantum Interference Devices)
    are used to pick up the signal. Also, MEG
    measurements are carried out inside a special
    magnetically shielded metal room, to reduce the
    amount of environmental noise.
  • Each MEG sensor measures changes in the magnetic
    flux that is either coming out of the skull or
    going into the skull (see picture on left).

A waveform showing the average strength of the
magnetic field in the left hemisphere sensors for
a stimulus-locked epoch of 500 ms. Each line
represents activity in one sensor.
A view of a magnetic field from outside the scalp
for one point in time. An outgoing and ingoing
magnetic flux shows up as a bipolar pattern here
red indicates outgoing and blue ingoing flux.
4
What is the M350?
  • The M350 is an response component in the left
    hemisphere at 300-400 ms after the presentation
    of a word (or a word-like string) (Embick et al
    2000, Pylkkänen et al, 2000).

M350 waveform showing an average of the responses
to 70 visually presented words. The lines
represent the magnetic field strengths in 11 left
hemisphere sensors in a time period starting from
stimulus presentation (0 ms) to 500 ms post
stimulus. The cursor is pointed at 400 ms which
is the time of the M350 peak for this subject.
M350 contour map showing a view of the M350
magnetic field from outside the skull at the time
of the M350 signal maximum. The M350 has a
dipolar pattern in the left hemisphere oriented
along the anterior posterior axis with the
negative field on the left and the positive field
on the right.
M350
The M350 source is located in the left temporal
lobe below and in front of the auditory cortex.
The picture above shows four M350 localizations
(the four dipole cluster) and a localization of
the M100, an auditory evoked response, for one of
the subjects in the present study. 300-400 ms
activity post word presentation is consistently
localized in the temporal lobe across the
literature although there is variation in exactly
how much below the auditory cortex the source is
(e.g. in the present study the activity is
approx. 4 cm below the auditory cortex while
Helenius et al. 1999 report the difference to be
2 cm).
5
Stimulus properties affecting reaction times and
the latency of the M350 in lexical decision tasks
  • Frequency RTs and M350 latencies are shorter for
    frequent than for infrequent words (Embick et al
    2000).
  • Repetition RTs and M350 latencies are shorter
    for repeated than for nonrepeated words
    (repetition priming effect) (Pylkkänen et al
    2000).
  • The M350 is earliest MEG component whose latency
    can serve as a predictor of the frequency and
    repetition priming effects on behavior.
  • Two interpretations of the data between which the
    present study is designed to distinguish
  • The M350 reflects automatic activation of the
    lexicon and shows the frequency and repetition
    priming effects since frequent and repeated
    stimuli activate lexical representations faster
    than infrequent and nonrepeated stimuli.
  • The M350 reflects a post-lexical process, such as
    the word/nonword decision which occurs earlier in
    the frequent and repeated conditions because
    lexical activation, and hence all subsequent
    processing, is faster in these conditions. In the
    above studies, the M350 is only indirectly
    affected by the stimulus manipulations the
    frequency and priming effects really occur in
    some other, earlier, component, not discovered in
    these experiments.

6
BackgroundActivation and Competition
  • We make the (standard) assumption that lexical
    processing is a combination of activation and
    competition a stimulus activates its own entry
    and a family of related representations (its
    neighbors), which then compete for selection
    (e.g. Marslen-Wilson et al, 1994).
  • The more active entries there are, the more
    competition.
  • The more competition, the slower the RTs in a
    lexical decision task (Vitevich and Luce 1999).
  • A way to separate lexical activation from
    subsequent processes
  • In a lexical decision task, present subjects with
    stimuli which
  • are easy to process (because of some stimulus
    property), and hence invoke early lexical
    activation
  • activate a lot of competitors, which causes late
    selection/decision.

7
Phonological density/probability
  • Vitevich and Luce (1997, 1999)
  • Nonwords with common sounds and sequences, i.e. a
    high phonotactic probability (MIDE, PAKE) elicit
    shorter RTs than nonwords with a low phonotactic
    probability (JIZE, YUSH) in tasks such as the
    same-different task or a reading task.
  • A sublexical frequency effect The processing of
    high probability nonwords is facilitated because
    they involve feature combinations that are common
    in the language and that are, therefore,
    activated often.
  • However, if the task is lexical decision, high
    probability nonwords elicit longer RTs than low
    probability nonwords.
  • Because the feature combinations of high
    probability nonwords are common, they activate
    many actual lexical entries, i.e. a dense
    similarity neighborhood. The more representations
    are activated, the longer lexical decision takes
    because it requires determining which, if any,
    actual lexical entry the stimulus matches to.
  • High phonotactic probability speeds activation.
  • A dense similarity neighborhood slows down
    decision.

8
Hypothesis
  • If the M350 reflects automatic lexical
    activation, a stimulus with a high phonotactic
    probability/density should elicit
  • a fast M350 but a slow RT.
  • If the M350 and RT can be pushed in opposite
    directions for the same stimulus in this way, the
    M350 must reflect a process prior to
    selection/decision.

9
Stimuli
  • Materials of Vitevich and Luce 1999 converted
    into orthographic stimuli to permit direct
    comparison of the brain responses to previous
    M350 studies (Embick et al 2000, Pylkkänen et al
    2000).
  • Four categories of 70 stimuli
  • high probability/density words BELL, LINE
  • low probability/density words PAGE, DISH
  • high probability/density nonwords MIDE, PAKE
  • low probability/density nonwords JIZE, YUSH
  • All stimuli were monosyllabic, and high and low
    density words were matched for visual word
    frequency.
  • The measures for phonotactic probability were
    positional segment frequency and biphone
    frequency and phonological neighbors were defined
    as any item that could be converted to the
    stimulus by one phoneme substitution, deletion,
    or addition in any position, as in Vitevich and
    Luce 1999 .

10
Procedure
  • Task Lexical Decision
  • Stimuli were presented in a randomized order in
    two blocks of 140 stimuli with an intervening
    pause allowing subjects to rest.
  • Subjects made lexical decisions on the stimuli by
    pressing a button. In block 1, word-decisions
    were indicated with the index finger and non-word
    decisions with the middle finger. In block 2,
    this was reversed. Subjects were instructed to be
    as fast and as accurate as possible.
  • MEG Recording
  • During the experiment, subjects lay in a dimly
    lit magnetically shielded room in the KIT/MIT MEG
    laboratory while neuromagnetic fields were
    recorded using a 64-channel axial gradiometer
    whole-head system (Kanazawa Institute of
    Technology, Japan).


500 ms
time
LINE
real word?
500-1500 ms

500 ms
JIZE
real word?
  • Subjects
  • Nine right-handed (2 F, 7 M), English-speaking
    adults with normal or corrected-to-normal vision

11
Results
P lt 0.05
P lt 0.05
P lt 0.05
P lt 0.05
  • As predicted,
  • RTs to high probability/density stimuli were
    slower than RTs to stimuli with low
    probability/density both in the word and nonword
    conditions (P lt 0.05).
  • Probability/density had the opposite effect on
    M350 latencies the M350 peaked approximately 20
    ms earlier in the high probability/density
    conditions (P lt 0.05).

12
Effect of phonotactic probability on the M350
(positive and negative signal maxima for one
subject)
M350 positive maximum
M350
M350 negative maximum
M350
13
Discussion
  • The latencies of the M350 reflect RTs as long as
    the stimuli are not varied in a way that affects
    postlexical processing (as shown by the frequency
    and repetition priming studies).
  • The M350 and RTs can be pushed in opposite
    directions by stimuli that facilitate lexical
    activation but make subsequent processing, such
    as selection/decision, harder.
  • The M350 cannot reflect the post-lexical
    word/nonword decision since in that case M350
    latencies should reflect RTs also in this type of
    manipulation.
  • Further predictions of the M350 lexical
    activation hypothesis
  • The M350 should be sensitive both to phonological
    and semantic priming (as lexical entries are the
    connection between sounds and meaning).
  • The M350 should be the first shared component
    between auditory and visual word processing.
  • Hypotheses which associate the M350 with semantic
    processing or integration (following much of the
    N400 literature) do not predict (i) or (ii) nor
    the results of the present study.

14
Summary From stimulus onset to RT
M350 The first MEG component sensitive to
manipulations of stimulus properties affecting
lexical activation. Working hypothesis this
component reflects automatic spreading activation
of the lexicon at signal maximum all the
competitors are activated.
stimulus
RT
BELL
M250 A component between the M180 and M350. Also
insensitive to variations in stimulus properties
that affect lexical access. Clearly distinct from
the M350 as these two responses have opposite
polarities. Processing of orthographic forms?
Postlexical processes including the word/nonword
decision of the lexical decision task.
M180 A visual response unaffected by stimulus
properties such as frequency (Hackl et al, 2000),
repetition (Sekiguchi et al, 2000, Pylkkänen et
al 2000) and phonotactic probability/density.
Clearly posterior dipolar pattern.
15
References
  • D. Embick, M. Hackl, J. Schaeffer, M. Kelepir
    and A. Marantz. A magnetoencephalographic
    component whose latency reflects lexical
    frequency to appear in Brain Research.
  • P. Helenius, R. Salmelin, E. Service, J. F.
    Connolly, Semantic Cortical Activation in
    Dyslexic Readers in Journal of Cognitive
    Neuroscience, 115, pp. 535-550. 1999.
  • S. Kuriki, Y. Hirata, N. Fujimaki and T.
    Kobayashi, Magnetoencephalographic study on the
    cerebral neural activities related to the
    processing of visually presented characters in
    Cognitive Brain Research, 4, 1996, 185-199.
  • L. Pylkkänen, A. Stringfellow, E. Flagg, A.
    Marantz. A Neural Response Sensitive to
    Repetition and Phonotactic Probability MEG
    Investigations of Lexical Access. Proceedings of
    Biomag 2000, 12th International Conference on
    Biomagnetism. 2000.
  • T. Sekiguchi, S. Koyama and R. Kakigi, The
    effect of word repetition on evoked magnetic
    responses in the human brain in Japanese
    Psychological Research, 42, 2000, 3-14.
  • M. Taft, Reading and the mental lexicon. Hove,
    England Lawrence Erlbaum Associates, 1991.
  • M. S. Vitevitch and P. Luce, Probabilistic
    Phonotactics and Neighborhood Activation in
    Spoken Word Recognition in Journal of Memory and
    Language 40 374-408, 1999.
  • M.S. Vitevitch, P. A. Luce, J. Charles-Luce and
    D. Kemmerer, Phonotactics and syllable stress
    Implications for the processing of spoken
    nonsense words in Language and Speech, 40,
    47-62, 1997.
  • Correspondence to liina_at_mit.edu
  • Poster available at http//web.mit.edu/liina/www
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