Frame-shifting:
Event-Related Brain Response to Jokes
Seana
Coulson, University of California San Diego
Marta
Kutas, University of California, San Diego
Correspondence to:
Seana Coulson
Cognitive Science 0515
9500 Gilman Drive
La Jolla, CA 92093-0515
Voice: (858) 822-4037
Fax: (858) 534-1228
Acknowledgments
SC received support from
National Research Service Award F32 DC00355. Research supported by the
following grants to MK: HD22614; MH52893; AG08313.
ABSTRACT
Joke
comprehension has been decomposed into two components: the registration of
surprise, and a coherence stage, hypothesized to involve frame-shifting,
in which the listener activates a new frame or schema from long-term memory to
reinterpret information active in working memory. To find electrophysiological manifestations of frame-shifting,
event-related brain potentials (ERPs) were recorded from the scalp as healthy
adults read sentences that ended either as jokes that required frame-shifting,
or with equally surprising nonjoke endings that were consistent with the
contextually evoked frame. Because
performance on comprehension questions indicated not all participants
understood the jokes, participants were divided into good (83% correct) and poor
(63% correct) joke comprehenders. In all
participants, jokes elicited more negative ERPs 300-500 ms post-stimulus
(N400), though in poor joke comprehenders the effect had a right anterior
focus. Among good joke comprehenders
only, the registration of surprise was indexed by late positivities 500-900 ms,
while frame-shifting was indexed by a sustained negativity 500-900 ms focused over left lateral electrode
sites. Temporal overlap of the ERP
indices of surprise- and coherence- related joke processing suggests these two
stages may not be as distinct from one another as traditionally assumed.
KEYWORDS: ERPs
comprehension jokes language
INTRODUCTION
The ability to appreciate humor is one of the most
intriguing aspects of human behavior, considered by many to be a defining human
attribute (Nahemow, 1986). Though it
recruits a number of cognitive processes, analysts have decomposed joke
comprehension into two major components: the registration of surprise
and the reestablishment of coherence (Suls, 1972). For example, the word "years" is
surprising when it occurs in "I let my accountant do my taxes because it
saves time: last spring it saved me ten years." However, to really "get" the joke, the listener must go
beyond her surprise and formulate a new, coherent, interpretation in which the
speaker is worried about going to jail, and pays an accountant to conceal
illegal business practices. The
coherence stage involves a process known as frame-shifting, in which the
listener activates a new frame, or schema, from long-term memory to reinterpret
information already active in working memory (Coulson, 2000). The present study uses event-related brain
potentials (ERPs) recorded from the scalps of healthy adults to assess the
psychological reality of frame-shifting, and differentiate it from the surprise
component of joke comprehension.
Dissociation
between the surprise and coherence components of joke comprehension is
supported principally by data from patients with damage to either the left
(LHD) or the right (RHD) cerebral hemisphere.
Difficulty understanding jokes has long been associated with RHD,
especially to the anterior portion of the right frontal lobe (Bihrle, Brownell,
& Gardner, 1986; Brownell, Michel, Powelson, & Gardner, 1983; Gardner,
Ling, Flamm, & Silverman, 1975; Shammi & Stuss, 1999). Moreover, subsequent research has suggested
that the joke comprehension deficits associated with RHD involve the conceptual
demands of frame-shifting (Bihrle et al., 1986; Brownell et al., 1983). For example, Bihrle and colleagues (1986)
presented patients with jokes either verbally, or in a four-frame cartoon, and
asked them to pick the punchline or "punch-frame" from an array of
four choices: a straightforward ending, a neutral non sequitur, a humorous non
sequitur, or the correct punchline. While
both patient groups were impaired on this task, their errors were qualitatively
different. The RHD patients erred by
picking non sequitur endings, while LHD patients erred by picking the
straightforward endings.
Drawing on Suls' (1983) two-stage model of humor, Brownell
and colleagues (1983) argued that RHD patients retained the surprise component
of joke processing, but were disproportionately impaired on the second stage in
which coherence is reestablished between the narrative and the punchline. Bihrle et al. (1986) have also demonstrated
that RHD patients have difficulty interpreting nonjoke materials that
require frame-shifting. Given examples
like the following,
Sally brought a pen and paper with her to meet the famous
movie star. The article would include
comments on nuclear power by well-known people.
RHD patients persisted in the
original AUTOGRAPH interpretation, and seemed unable to incorporate information
from the first sentence into the INTERVIEW interpretation suggested by the second. RHD patients' comprehension of these
materials improved considerably, however, when misleading information was
presented in the second sentence. These
data seem to suggest that the deficits RHD patients experience in the
comprehension and production of humor is cognitive rather than emotional, and
involves inferential reanalysis.
While differences in RHD and LHD patients' behavior suggest
that the surprise component of joke comprehension can be dissociated from the
frame-shifting necessary to reestablish coherence, the implication for
processing in normals is less obvious.
First, brain damage often engenders functional reorganization and
compensatory strategies that complicate inferences about the division of labor
in the healthy brain (Farah & Feinberg, 2000). Further, the patient data do not address the time course of the
two stages of joke comprehension, or the relationship between processes that
subserve frame-shifting, and processes that subserve the comprehension of other
sorts of surprising events. We
addressed these questions by recording ERPs from normal adults as they read
jokes and nonjoke control stimuli.
ERPs are the scalp reflections of sychronous synaptic
activity, and afford an on-line measure of brain function with millisecond
resolution. ERPs are also known to be
sensitive to various aspects of language processing that are likely to be
important for joke comprehension. For
example, surprising events, both linguistic and nonlinguistic, are often
associated with a late positive response in the ERP which is a member of the P3
family of components. In ERP language
research, late positivities have been elicited by linguistic violations at the
level of syntax, semantics, and even orthography (Coulson, King, & Kutas,
1998a, 1998b; Kutas & Hillyard, 1983; Muente, Heinze, Matzke, Wieringa,
& Johannes, 1998). Although the P3
is not a unitary phenomenon, arising from the activity of multiple neural
generators active in a variety of tasks, this well-studied ERP component can
serve, nonetheless, as a useful measure of cognitive brain activity. Given that P3 amplitude varies with the
subjective probability of a stimulus, stimulus meaning, and the amount of
information the stimulus transmits (Johnson, 1986), late positivities in the
ERP might be expected to reflect the extent that people find jokes surprising.
Although frame-shifting is not unique to jokes, this genre
is unique in the extent to which the cue to shift is clearly demarcated by a disjunctor,
or "punch-word," such as years in the joke about the
accountant (Attardo et al., 1994).
Moreover, from one perspective the disjunctor in a joke is merely an
unexpected word whose occurrence initiates contextual integration. Previous research has linked general
processes of contextual integration to the elicitation of a posterior
negativity in the ERPs known as the N400. This component is evident between 200
and 600 ms after the onset of words presented in lists, sentences, and
paragraphs (see Kutas, Federmeier, Coulson, King, & Muente, 2000 for
review). Because the N400 was initially
discovered in an experiment comparing congruous sentences with incongruous ones
(Kutas & Hillyard, 1980), many view it as a marker of semantic anomaly.
However,
subsequent research indicates that N400 is elicited by all words, congruous and
incongruous, and is sensitive to the predictability of words in context. Approximately 90% of N400 amplitude is
predicted by cloze probability, the percentage of people who produce a
given word on a sentence completion ("cloze") task in which the
target word has been omitted from the sentences. N400 amplitude and cloze
probability are inversely correlated, being larger for unexpected words. In congruous sentences, N400 amplitude
declines across the course of the sentence, as it becomes smaller with each
open class word (Van Petten & Kutas, 1991). Because a similar decline does not occur in syntactic prose
(grammatically well-formed sentences that make no sense), N400 amplitude has
been interpreted as an index of the integrative demands posed by a particular
word in a particular context (Kutas & Van Petten, 1994; Van Petten &
Kutas, 1991).
To differentiate the brain processes involved in
frame-shifting from the surprise component of joke comprehension, we recorded
ERPs as neurologically intact participants read sentences that ended either as
jokes or with an equally surprising nonjoke ending. Surprise was operationalized as cloze probability, and nonjoke
endings were words that were unexpected in the context, but still consistent
with the contextually evoked frame (see table 1). Both sorts of endings were unexpected, but only the jokes
required frame-shifting. Further,
because contextual constraint is thought to affect the specificity of people's
semantic expectations (Schwanenflugel, 1991; Titone, 1998), stimuli were
divided into high and low constraint sentences. High constraint stimuli were those sentences in which the best
completion on the cloze task had a cloze probability of greater than 40%. Low constraint stimuli were sentences for
which there really was no "best" completion, as even the most popular
response for these items was offered by less than 40% of the respondents.
Because contextual constraint increases the specificity
of readers' semantic expectations, the demands of joke comprehension might be
more pronounced for high constraint jokes.
Frame-shifting is important for the comprehension of both high and low
constraint jokes, though, and only an ERP effect of ending (joke versus nonjoke)
evident in both sorts of sentence contexts could be said to be a valid index of
frame-shifting.
METHODS
Participants were 28 right-handed, monolingual English
speakers. 10 were male, 9 had
left-handed relatives, and all were healthy, college-aged adults with normal,
or corrected to normal, vision. Participants' task was to read sentences and
answer true/false questions while their on-going electroencephalagram (EEG) was
recorded. EEG, sampled at 250 Hertz,
was collected from 26 tin electrodes arranged in a geodesic dome-like pattern
(Tucker, 1987), referenced to the left mastoid. Blinks and eye movements were monitored via electrodes beneath
each eye and at the outer canthi. Informed consent was obtained, and all
procedures conformed to the ethical requirements of the University of
California, San Diego.
Materials included 60 experimental sentences that ended
either as jokes (30), or as nonjokes (30), and 100 filler sentences. Jokes were assembled from various
anthologies of one-line jokes, chosen so that understanding the joke required
frame-shifting. In all cases, the
disjunctor (the point at which the reader could, in principle understand the
joke) was a sentence-final noun. Jokes
that fit these criteria were normed on an off-line cloze task administered to
45 people from the same population as participants in the ERP experiment.
Results of the cloze task enabled us to choose nonjoke endings by replacing the
last word of jokes with contextually congruent completions that matched the
joke endings for length (6.5 characters, sd=2), frequency (87 per million,
sd=146), and cloze probability (3%, sd=2.5).
Experimental sentences in joke and nonjoke conditions
were thus identical until the sentence-final word. However, joke endings required frame-shifting, while nonjoke
controls were low-cloze items consistent with the contextually evoked
frame. Experimental sentences were
further divided into two classes of sentence constraint, determined by the
probability of the most popular response for each sentence on the cloze
task. This value was 40% or less for
low constraint sentences, and greater than 40% for high constraint
sentences. Examples of each of the
sentence types can be found in table 1.
-----------------------------------------------------------
Insert
Table 1 Here
-----------------------------------------------------------
Sentences were
presented one word at a time at a rate of 2 per second. Duration for
sentence-final words was 500 ms, while duration for all other words was 200
ms. ERPs were timelocked to the onset
of sentence-final words. Each sentence
was followed by a true/false question assessing comprehension, especially
whether or not participants were getting the jokes. Response was signalled via a button press and response hands were
counterbalanced across participants.
RESULTS
As can be seen in
figures 1a and 1b,
ERPs elicited by
sentence final words displayed the P1/N1/P2 complex typical of visually
presented words, a negative-going wave evident from 300-700 ms post-onset
(N400), and a late positivity. ERPs
were quantified by measuring the mean amplitude 300-500 ms, 500-700 ms, and
700-900 ms post-word onset relative to 100 ms pre-stimulus baseline. Measurements were subjected to repeated
measures ANOVA with ending (Joke/Nonjoke), constraint (Low/High), and three
factors that index scalp topography: hemisphere (Left/Right), laterality
(Dorsal/Lateral), and anterior/posterior (4 levels). All p-values were corrected using the Huhyn-Feldt correction. However, for clarity we report original
degrees of freedom.
Mean Amplitude 300-500 ms. Overall analysis of
ERPs elicited 300-500 ms post-onset, the latency range in which N400 effects
are typically most prominent, revealed a main effect of ending, and an
interaction between ending and constraint (Ending F(1,27)=7.98; p<0.01;
Ending x Constraint F(1,27)=4.34;p<0.05; Ending x Constraint x Anteriority
F(3,78)=4.68, p<0.05, e=.42; Ending x Constraint x Laterality F(1,26)=4.26,
p<0.05; Ending x Constraint x Laterality x Hemisphere F(1,26)=5.16,
p<0.05). The main effect of ending
results because ERPs to jokes were more negative than ERPs to nonjokes. This negative-going joke effect was
characteristic of the N400 component: broadly distributed, but most evident
over centro-parietal scalp regions, and slightly larger over the right side of
the head (see figure 1). The
interactions between ending, constraint, and various scalp topography factors
result because N400 joke effects were reliable only in the high constraint
sentences. Post hoc analysis revealed that among the high constraint stimuli,
joke endings elicited greater amplitude N400 (Ending F(1,27)=14.55, p<0.001)
whereas among low constraint stimuli, ERPs to jokes and nonjokes did not differ
(F<1).
Mean amplitude 500-700 ms. A restricted effect of
sentence constraint was observed over anterior regions of scalp, as indicated
by a reliable interaction between constraint and anteriority (F(3,81)=6.01,
p<0.05, e=.42) in the latency range 500-700 ms post-onset. This followed a
similar marginal trend in the earlier 300-500 ms window (F(3,81)=3.44, p=0.07).
As can be seen in figure 2,
sentence final words in high constraint sentences
were less positive than their low constraint counterparts over anterior scalp
and slightly more positive over posterior (occipital and parietal) sites. This
effect was qualified by a three-way interaction between ending, constraint, and
anteriority (F(3,81)=7.07, p<0.05, e=.46), as constraint effects are driven
more by participants' brain response to jokes rather than to nonjoke
endings. Post hoc analyses of high and
low constraint sentences indicate joke effects were reliable only in high
constraint sentences, where ERPs to jokes were less positive over anterior
scalp sites (Ending x Laterality x Anteriority F(3,81)= 4.9, p<0.05, e=.81).
Mean amplitude 700-900 ms. ERPs elicited by jokes 700-900 ms
post-stimulus onset were more positive than those to nonjokes over posterior
sites, and more negative over a few left anterior lateral sites, suggested by
reliable interactions between ending, hemisphere, and anteriority
(F(3,81)=3.64, p<0.05, e=.80) and between ending, laterality, and
anteriority (F(3,81)=3.38, p<0.05, e=.95).
To summarize,
joke effects were more pronounced for high than low constraint sentences. Relative
to nonjoke controls, high constraint jokes elicited (1) greater amplitude N400s
and (2) less positive ERPs over frontal scalp between 500 and 700 ms. Between
700 and 900 ms, in both high and low constraint sentences, relative to
nonjokes, jokes elicited (3) greater negativity over left anterior sites and
greater positivity over posterior scalp sites.
Spatial Analysis
Given our prior hypothesis that jokes might elicit
qualitatively different ERPs than nonjokes, we conducted additional analyses in
each of the three latency ranges using measurements normalized by the vector
scaling method (McCarthy & Wood, 1985).
Analysis of ERPs elicited by high constraint stimuli in the 300-500 ms
window revealed no interactions among ending and any of the factors indexing
scalp topography (all F's <= 1.05).
This suggests the same neural generators were active in the processing
of jokes and nonjoke controls between 300 and 500 ms.
In contrast, between 500-700 ms there was a reliable
constraint by anteriority interaction
(F(3,81)=6.21, p<0.05, e=.43), as well as three-way interactions between ending, hemisphere, and
anteriority (F(3,81)=2.91, p<0.05,
e=.94), and ending, constraint, and anteriority (F(3,81)=3.52, p<0.05, e=.56). The three-way interaction between ending, hemisphere, and anteriority reflects the left anterior focus
of the joke effects between 500-700 ms, and suggests that a different
configuration of neural sources may
have been active during the processing of jokes and nonjoke controls. The interaction between ending, constraint,
and anteriority results because
apparent joke effects differed in high and low constraint sentences.
In high constraint sentences, jokes
were more negative over anterior scalp sites.
In low constraint sentences, jokes were more positive than
nonjokes over anterior dorsal sites,
and more negative over posterior sites, especially on the right side of the head.
Post hoc analysis suggested that the
topographic differences between joke and nonjoke endings were real in
low constraint stimuli (Low Constraint:
Ending x Hemisphere x Laterality x
Anteriority F(3,81)=2.58, p=.059, e=1), but were likely due to amplitude
differences in the ERPs to high constraint stimuli (all F's<=1.93).
Analysis of
ERPs elicited 700-900 ms post-onset revealed a reliable interaction between
ending, laterality, and anteriority (F(3,81)=5.15, p<0.01), reflecting the
fact that, relative to nonjoke control stimuli, jokes were more negative over
anterior lateral sites and slightly more positive over more dorsal, occipital
and parietal electrodes. Topographic
differences in this latency range are indicative of differences in the neural
sources of ERPs elicited by joke and nonjoke endings.
In sum, between 300-500 ms (N400), the same set of neural
sources were active for jokes and nonjokes. However, between 500 and 700 ms,
the analyses indicate differences in the neural generators active both in the
processing of high versus low constraint stimuli, as well as between joke and
nonjoke endings for low constraint stimuli.
Finally, analyses implicated the involvement of different neural sources
in joke vs nonjoke processing between 700-900 ms.
Good and Poor Joke
Comprehenders
Because we observed a wide range of performance on the comprehension
questions, participants were separated into two comprehension groups based on a
median split of their comprehension scores.
The good joke comprehenders averaged 83% correct on the true/false
questions that followed the joke stimuli, while the poor joke comprehenders
averaged only 64% correct on the same questions. On questions that followed nonjoke stimuli, however, all but one
participant scored 83% correct or better.
The distinction between good and poor comprehenders thus reflects
difficulty understanding the joke stimuli, and not with reading per se. To evaluate ERP differences related to
participants' comprehension of the materials, we conducted additional analyses
of mean ERP amplitudes measured 300-500 ms, 500-700 ms, and 700-900 ms post-word
onset with between-participants factor comprehension group, and
within-participants factors ending, constraint, and various scalp topography
factors as above.
Between 300-500
ms post-word onset there was a null effect
of comprehension group (F<1), but indications of differences in the
distribution of the two groups' ERPs (Comprehenders x Hemisphere x Laterality x Anteriority
F(3,78)=2.93;p<0.05, e=.86; Comprehenders x
Ending x Hemisphere x Laterality F(1,26)=2.58;p<0.05). The latter
reflects a more anterior distribution
of the joke-related N400 among poor joke comprehenders, slightly larger over
right hemisphere scalp sites (see
figure 3.
Good joke
comprehenders had generally more positive ERPs than poor joke comprenders
throughout the rest of the recording epoch
(500-700ms: F(1,26)=5.82, p<0.05; 700-900ms: F(1,26)=9.11,
p<0.01). Between 500-700 ms, this
effect was qualified by an interaction with ending, constraint, and various
factors indexing scalp topography (Comprehenders x Ending x Constraint x
Hemisphere x Laterality x Anterior/Posterior F(3,78)=3.43, p<0.05, e=.71).
Good
Joke Comprehenders. Post hoc testing of the good joke
comprehenders' ERPs between 500-700 ms
post-stimulus onset revealed spatially restricted effects of ending
(Ending x Laterality x
Anterior/Posterior F(3,39)=3.26, p<0.05, e=.83), and of constraint (Constraint x Anterior/Posterior
F(3,39)=5.99, p<0.05, e=.41). ERPs
to jokes were less positive than those to nonjokes over left lateral anterior sites. And, collapsed across joke
and nonjoke endings, low constraint
stimuli elicited a fronto-central positivity, while high constraint stimuli elicited a positivity
largest over occipito-parietal scalp.
Visual
inspection of the data suggests constraint effects are due primarily to
differences in ERPs to joke endings. Analysis reveals a marginal interaction
between constraint, ending, and anteriority (Constraint x Ending x
Anterior/Posterior F(3,39)=3.42, p=0.08, e=.48). The interaction also may reflect a slightly larger joke effect
over anterior left lateral sites in the high than the low constraint sentences.
Post hoc
analysis of good joke comprehenders' ERPs 700-900 ms post-onset revealed a
three-way interaction between ending, laterality, and anteriority reflecting
the negative-going joke effect over a few anterior lateral electrode sites and
the small positivity over more medial, posterior sites (Ending x Laterality x
Anterior/Posterior F(3,39)=3.22, p<0.05, e=.83).
Poor
Joke Comprehenders. Post hoc analyses of the poor
comprehenders' ERPs 500-700 ms post-onset revealed an interaction between
ending, constraint, and various topographic factors (Constraint x Ending x
Hemisphere x Laterality x Anterior/Posterior F(3,39)=3.4, p<0.05, e=.97). Jokes elicited less positive ERPs than
nonjokes regardless of constraint; however, for high constraint stimuli, joke
effects were bilateral and most evident over anterior scalp, while for low
constraint stimuli, joke effects were evident only over posterior scalp sites, and
were larger on the right side. Post hoc
analysis of poor joke comprehenders' ERPs between 700-900 ms revealed only an
interaction between constraint, hemisphere, and laterality reflecting the
bilateral distribution of the ERPs to high constraint stimuli, and more right
lateralized distribution of the ERPs to low constraint stimuli (Constraint x
Hemisphere x Laterality F(1,13)=9.22, p<0.01).
Summary. A
median split on comprehension scores for questions following the jokes resulted
in a good and a poor joke comprehender group. Though the amplitude of ERPs in
the N400 latency range did not vary with group membership, the scalp
distribution of the joke effect did: the negative-going joke effect between
300-500 ms post-onset was more anteriorly distributed among poor comprehenders,
especially over the right side of the head (see figure 3).
Between 500-700 ms, good comprehenders' ERPs were generally
more positive than poor comprehenders', and displayed a different pattern of
experimental effects. In the grand average, high constraint jokes apparently
elicited less positive ERPs than nonjokes over frontal scalp sites. However, this particular pattern was not
observed in the ERPs of either of the comprehension groups. Among good comprehenders, ERPs to high
constraint jokes were less positive than nonjokes over anterior sites, and more
positive over a few (occipital) posterior sites. Among poor comprehenders, ERPs to high constraint jokes were less
positive than nonjokes over almost all the electrode sites. The ERPs of good
and poor joke comprehenders thus cancel each other out over posterior sites
(see figure 4a).
Similarly, the overall pattern of results for low
constraint stimuli is not representative of either group's ERPs between 500 and
700 ms. Relative to nonjoke controls,
low constraint jokes exhibited a nonsignificant trend for a frontally distributed positive-going joke effect, and a
negative-going one over posterior
sites: this is a composite of the frontally distributed positive-going joke effect in the good joke
comprehenders' ERPs and the posterior
negativity of poor joke comprehenders' ERPs (see figure 4b).
The overall ERP effects observed between 700-900 ms were
representative of the good but not poor joke comprehenders' ERPs. As in the overall analysis, among good
comprehenders jokes elicited less positive (more negative) ERPs than nonjokes
over anterior left lateral sites, and more positive ERPs over posterior
(occipital) sites. Among poor
comprehenders, ERPs were modulated by sentence constraint, but not by ending
(joke versus nonjoke).
DISCUSSION
Analysts have argued that joke comprehension involves two
major components: the registration of surprise and the reestablishment of
coherence (Suls, 1972). For example, in
the following joke about a bartender, the last word is surprising because we
expect the bartender to recommend a drink: "When I asked the bartender for
something cold and full of rum, he recommended his wife." To fully comprehend this joke we need to
establish a coherent interpretation of the bartender's
"recommendation" as a complaint about his alcoholic wife. Because
this reinterpretation process seems to require background knowledge, it has
been hypothesized to involve frame-shifting, or, semantic reanalysis
that results when the listener activates a new frame, or schema, from long-term
memory to reinterpret information already active in working memory (Coulson,
2000). The present study was intended
to assess the psychological reality of frame-shifting, and differentiate it
from the surprise component of joke comprehension.
Accordingly, we
recorded ERPs as participants read sentences that ended either as jokes, or
with an equally surprising nonjoke ending. Stimuli were further divided into
high and low constraint sentences as determined by the results of a separately
administered cloze task. Sentences in which the best completion on the cloze
task had a cloze probability of greater than 40% were deemed "high"
constraint; sentences in which the most popular response on the cloze task was
offered by less than 40% of respondents were deemed "low" constraint.
Jokes and nonjoke controls were identical until the last word of the sentence,
and care was taken to equate sentence final words for variables known to affect
ERP indices of word processing: word length, word frequency, and cloze
probability. The main difference
between jokes and nonjoke controls was that while nonjoke endings were
consistent with the contextually evoked frame, joke endings were intended to
trigger frame-shifting.
Because the
endings were designed to be equally surprising, ERP effects of ending should
index the frame-shifting needed to establish a coherent interpretation of a
joke. However, our results are
complicated by the finding that the joke effects between 300-700 ms post-onset
were reliable only in the high constraint sentences, and by the fact that some
participants failed to get the jokes.
Naturally, we would expect valid indices of frame-shifting to be present in both high and low constraint
contexts, but absent from ERPs of poor
joke comprehenders as they apparently failed to establish a coherent interpretation of the information
presented.
N400 Effects
As reported in the previous section, ERP patterns differed as
a function of ending type, sentence constraint, and comprehension group. Both
joke and nonjoke endings elicited a negative-going response between 300-500 ms (N400). In low constraint
stimuli, ending type did not modulate N400 amplitude; however, in high
constraint stimuli, jokes elicited greater amplitude N400 than did the nonjoke
controls. A negative-going ERP effect was observed in both good and
poor comprehenders, though its scalp distribution differed as a function of
comprehension group.
The presence of an N400 effect in poor comprehenders' ERPs
and its absence in ERPs to low constraint sentences suggest this effect indexes
the surprise stage of joke comprehension rather than the coherence
stage. One might object that all of the
stimuli were equally surprising -- given that joke and nonjoke endings were
both unexpected words. However, because
nonjoke endings were designed to be congruent with the contextually evoked
frame, the ending type manipulation affected consistency with discourse-level
expectancies. The observed differences in ERPs elicited by jokes and nonjoke
controls thus demonstrate the brain's sensitivity to high level expectations
such as those based on frames, scripts, or schemas
retrieved from long-term memory (Barsalou, 1992; Rumelhart & Ortony, 1977;
Schank & Abelson, 1977). These data
structures contain causal and relational information, are organized
hierarchically, and can be used to represent knowledge about a wide variety of
objects, actions, and events (Fillmore, 1982; Minsky, 1975; Sanford &
Garrod, 1981).
Though not unique to frame-shifting, our finding of joke
effects on the N400 component indicates that joke comprehension engages neural processes generally associated with
the processing of meaningful events.
Our findings with joke processing mirror those of other researchers
whose results also suggest N400 is sensitive to more global aspects of context.
For example, St. George, Mannes, & Hoffman (1994) recorded participants'
ERPs as they read ambiguous paragraphs that either were or were not preceded by
a disambiguating title. Although the
local contextual clues provided by the paragraphs were identical in the titled
and untitled conditions, words in the untitled paragraphs elicited greater
amplitude N400s. Similarly, Van Berkum, Hagoort, & Brown (1999) found that
words which elicit N400s of approximately equal amplitude in an isolated
sentence, do not elicit equivalent N400s when they occur in a 2-sentence
context that makes one version more plausible than the other. For instance "quick" and
"slow" elicit similar N400s in "Jane told her brother that he
was exceptionally quick/slow."
However, "slow" elicits a much larger N400 when this same sentence
is preceded by "By five in the morning, Jane's brother had already
showered and had even gotten dressed."
These demonstrations of the brain's relatively early
sensitivity to discourse-level manipulations is consistent with the dynamic
inferencing mechanisms assumed in many frame-based models of comprehension. In such models, comprehension is achieved by
binding elements of the discourse representation to frames from long-term
memory (Coulson, 2000; Lange & Dyer, 1989). Such models help explain how speakers are able to rapidly and routinely
compute predictions, explanations, and speaker intentions (Shastri &
Ajjangadde, 1993). Computational
considerations led Shastri & Mani (1998) to propose that frame-based
inferences necessary for language comprehension occur in a time frame on the
order of hundreds of milliseconds. The
onset of joke effects in the present study at 300 ms post-onset is consistent
with their prediction.
The topography of the N400 effect differed across the
two comprehension groups: the poor
comprehenders' ERPs were more broadly
distributed and had a right anterior focus (see figure 3). The
right anterior distribution of this
effect in the poor comprehenders' ERPs may reflect the recruitment of
additional brain areas engendered by processing difficulty. In a systematic review of frontal
activations revealed by PET and fMRI, Duncan and Owens (2000) report that
particular regions in mid-dorsolateral and mid-ventrolateral areas of frontal
cortex are activated by a broad range of cognitive demands, including
perception, response selection, executive control and working memory. In all these cases, tasks that impose more
taxing cognitive demands were associated with bilateral increases in blood flow
to restricted areas of frontal cortex, and right hemisphere increases in blood
flow to mid-ventrolateral areas (Duncan & Owens, 2000). Further, in fMRI studies of high level
language processing, increasing the difficulty of discourse comprehension often
results in increased right hemisphere activation (Robertson & Gernsbacher,
2000; St. George, Kutas, & Sereno, 1999). If the right anterior focus of
the joke effect in our poor joke comprehenders can be taken at face value, it
may reflect the importance of activation in right frontal regions for
discourse-level processing. Clearly,
however, such activation does not ensure successful comprehension, however, as the poor comprehenders did not always
get the joke.
Sentence Constraint
We observed no effects of
constraint on the N400, consistent with
Kutas and Hillyard's (1984) finding that N400 amplitude does not index the violation of expectancy per se,
but the congruence between the word and its preceding context. Rather, we observed a restricted effect of sentence constraint,
in which sentence final words in high
constraint sentences were less positive than their low constraint counterparts over anterior scalp, and slightly
more positive over posterior scalp (see
figure 2).
Differences in ERPs elicited by high and low constraint
stimuli could reflect a variety of differences in the processing demands
involved in the comprehension of each.
For one thing, high constraint sentences are more likely to engender
particular expectations about the features evoked by the last word of the
sentence than are the relatively open-ended low constraint sentences. High constraint sentences are also more
likely to describe a scenario that admits of a particular interpretation, thus
allowing readers to commit to a particular frame to structure their
interpretation of incoming words. Overall
constraint effects may reflect the demands of the development of more or less
concrete expectations about the overall scenario, the development of more or
less definite expectations about the object named by the sentence-final word,
as well as the violation of those expectations.
Although sentence constraint per se did not modulate N400
amplitude, N400 joke effects were overall larger and more robust in high
constraint stimuli. Apparently, these
stimuli more readily allow the reader to commit to a frame to structure her
interpretation. It is this high-level
commitment that we propose facilitates the processing of the nonjoke endings, on the one hand, and makes
it more difficult to process the joke
endings, on the other. Not only must
the information active in working
memory be reinterpreted in light of the new frame, but aspects of the initial interpretation will need to
be suppressed. In low constraint sentences, by contrast, the general nature
of the scenario may be somewhat unclear
until the last word. As a result, the
nonjoke endings to these low constraint
sentences are less likely to be facilitated, either because readers do not completely commit to a particular
frame, or because they commit to a frame that differs somewhat from the nonjoke
frame designed by the experimenters.
The surprise
component of joke processing was also indexed by a late positivity between 500
and 900 ms post-onset. In good
comprehenders, joke endings elicited a posterior positivity in high constraint
sentences (see figure 4a)
and a fronto-central positivity in low constraint
sentences (see figure 4b).
Although we have operationalized sentence constraint so that it can be
construed as a continuous phenomenon,
differences in the scalp distribution of the positivities elicited by
high versus low constraint jokes argue
against this conventient construal.
A number of factors presumably
contribute to sentence constraint, and the current study suggests that
different neural generators may mediate the processing, at least, of low versus
high constraint jokes.
The scalp
distribution of the posterior positivity elicited by high constraint jokes is
characteristic of the P3b. One possible
interpretation of this effect then is that the P3b elicited in the
current study merely signifies the good comprehenders' classification of the
sentence as a joke. However, such an
interpretation is unlikely in view of the fact that low constraint jokes did
not elicit this component even in good comprehenders. Instead, we suggest the
posterior positivity elicited by high
constraint joke endings reflects the violation
of frame-level expectations, and perhaps the need to suppress the
reader's initial interpretation, both of which may contribute to the updating
of working memory representations. The careful reader is more likely to be surprised by the joke ending of
a high constraint sentence that promotes frame commitment, and more likely to
need to suppress the spurious inferences she made in her initial
interpretation.
Among good (although not poor) joke comprehenders, low
constraint jokes elicited a positivity over fronto-central sites. Anterior
positivities have previously been associated with completely novel items in an
oddball paradigm (e.g., Courchesne, Hillyard, & Galambos, 1975), as well as
with attempts to retrieve source information about various events from episodic
memory (Ranganath & Paller, 1999; Senkfor & Van Petten, 1998; Wilding
& Rugg, 1996). Of the two, the
latter seems less plausible, since participants are not likely to have heard
these jokes before. Moreover, there is
no reason they should attempt to retrieve an episodic trace for low but not
high constraint jokes. The
fronto-central positivity observed in the present study, however, may be
related to the novel P3 or P3a, an anterior positivity often seen in in
response to stimuli that evoke an orienting reaction, regarded as a sign of
attention switching, and thought to originate in superior temporal cortex
(Escera, Alho, Schroeger, & Winkler, 2000; Knight, 1997). Perhaps the joke endings to these relatively
vague sentence contexts were perceived as novel and attention grabbing. Indeed, many low constraint contexts
involved an appeal to an "ad hoc" category, as in "One good way
to invest in the country is to buy a," or "In the game of golf,
nothing counts as much as your," ("congressman" and
"opponent," respectively, were the joke endings for these stimuli).
These are less predictable, and thus more novel as jokes than the high
constraint ones.
Frame-shifting
The ERP effect most closely associated with the
frame-shifting process was the sustained negativity between 500-900 ms
post-onset over left lateral anterior
electrode sites. This effect was
observed only in the ERPs generated by participants who consistently got the
jokes. Further, among these good joke comprehenders, the sustained negativity
was evident for both high and low constraint stimuli, suggesting that it
reflects additional processing required for joke comprehension. Although
spatial localization of the neural sources of ERP effects is inherently difficult, the extremely focal
nature of the sustained effect is at
least consistent with a generator in dorsolateral prefrontal cortex, and may index prefrontal activation
implicated in the operation of verbal working memory (for review, see
D'Esposito, Postle, Jonides, & Smith, 1998). Event-related fMRI data suggest dorsolateral pre-frontal cortex
is part of a brain circuit that is important for the manipulation of
information in working memory (D'Esposito, Postle, Ballard, & Lease, 1999),
processing more relevant to the coherence phase of joke comprehension than to
the registration of surprise.
In an experiment in which participants read simple sentences
in a paradigm similar to that employed here, Kutas and King (1996) and Kutas
(1997) report a slow-rising cumulative positive drift that was largest at left
anterior recording sites, and which was more marked in ERPs generated by good
comprehenders. Kutas (1997) found that
the slow positive drift was also modulated by the demands of sentence
comprehension, as ERPs elicited by more difficult sentences were more negative
(less positive). Kutas and King suggest
the time course of the slow positive drift may reflect dopaminergic neuromodulatory
activity associated with with working memory processes in monkeys (e.g.,
Luciana, Collins, & Depue, 1998), and interpreted the positivity they
observed as reflecting integration between items in long-term and working
memory to form a mental model. Our
finding that successful comprehension of jokes was associated with a sustained negativity
over the same left lateral anterior electrode sites may reflect negative
modulation of this slow positive drift in response to the demands of joke
comprehension. Consistent with Kutas
and King's (1996) interpretation, we suggest that the sustained negativity
associated with joke comprehension indexes the rebinding of discourse elements
in working memory. While not unique to
joke interpretation, the presence of this ERP effect is consistent with the claim
that successful frame-shifting invoked additional processing which made greater
demands on working memory resources.
The
goal of the present study was to assess the psychological reality of
frame-shifting, and differentiate it from the surprise component of joke
comprehension. We found that the
surprise component was indexed to some extent by activity between 300-500 ms
(during N400), as high constraint joke endings elicited larger amplitude
negativities than nonjoke controls in both good and poor comprehenders' ERPs.[1]
Among good joke comprehenders only, the registration of surprise was also
indexed by later positivities between 500-900 ms. The response to high
constraint jokes was characterized by a posterior positivity reminiscent of the
P3b, while that to low constraint jokes was characterized by a fronto-central
positivity reminiscent of the P3a. We therefore suggested that the posterior
positivity may reflect the violation of frame-level expectations set up by high
constraint sentence contexts, as well as the need to suppress the reader's
initial interpretation. The fronto-central positivity, on the other hand, may
reflect the perception of a stimulus from a completely novel category set up by
low constraint sentence contexts. The absence of late positive joke effects in
poor comprehenders' ERPs may be explained by the assumption that, like RHD
patients, they do not suppress their initial interpretation (Gernsbacher &
Robertson, 1995).
Moreover,
the continued negative-going joke effects between 500-700 ms post-onset in poor
joke comprehenders' ERPs (see figures 4a and 4b may reflect vain attempts to
search semantic memory for information that might help them to make sense of
joke endings. Because the sustained negativity 500-900 ms post-stimulus onset
was elicited by both high and low constraint jokes in good, but not poor joke
comprehenders, it was argued to index frame-shifting needed to establish a
coherent interpretation of the joke. It
is important to note that although the morphology (waveshape) and scalp
topography of this sustained negativity clearly differentiate it from the
positivities in the ERP to high and low constraint jokes, the three sorts of
effects occur within the same time window.
Temporal overlap of the ERP indices of surprise- and coherence- related
processing suggest that these two stages may not be as distinct from one
another as has been assumed in traditional accounts of joke processing.
As for the role of the intact right
hemisphere in joke comprehension, our findings provide little support the
hypothesis that right hemisphere processes are somehow crucial for joke
comprehension. First, participants whose "N400" had a right anterior
focus displayed difficulty understanding the jokes. Second, the brain potential most closely associated with
frame-shifting needed for successful joke comprehension was a focal, sustained
negativity 500-900 ms post-onset recorded at left anterior scalp sites.
Without actually localizing the generators of these effects, it is impossible
to know what they indicate about the involvement of the two hemispheres, other
than that they appear to be different. However, taken at face value, these
findings indicate that while discourse-level processing difficulty can engender
RH activation, RH activation does not ensure comprehension. Perhaps the best
way to reconcile the findings in the present study with evidence that right
hemisphere stroke victims have joke comprehension deficits would be to record
ERPs as RH patients and age-matched controls read or listen to stimuli like
those employed here.
REFERENCES
Attardo,
S., D.H. Attardo, P. Baltes, and M.J.
Petray. (1994). The linear organization of jokes: Analysis of two thousand
texts. Humor: International Journal of Humor Research 7(1): 27-54.
Barsalou,
L. W. (1992). Frames, concepts, and conceptual fields. In
Adrienne Lehrer and Eva Feder Kittay (eds.), Frames, Fields, and Contrasts: New Essays in Lexical
and Semantic Organization. Hillsdale, NJ: Lawrence
Erlbaum Associates.
Bihrle,
A., H. Brownell, & H. Gardner. 1986. Comprehension of humorous and nonhumorous materials by left-
and right- brain damaged patients. Brain & Cognition 5(4): 399-411.
Brownell,
H., D. Michel, J. Powelson, & H. Gardner.
1983. Surprise but not
coherence: Sensitivity to verbal human in
right-hemisphere patients. Brain
Language 18: 20-27.
Coulson,
S. (2000). Semantic Leaps: Frame-shifting and Conceptual Blending in Meaning
Construction. Cambridge and New
York: CUP.
Coulson,
S. & Federmeier, K.D. in press. Words and context: ERPs and the
lexical/post-lexical distinction.
Journal of Psycholinguistic
Research.
Coulson,
S., King, J.W., Kutas, M. 1998a. Expect the unexpected: Event-related brain
response to morphosyntactic violations. Language and Cognitive Processes
13: 21-58.
Coulson,
S., King, J.W., Kutas, M. 1998b. ERPs and domain specificity: Beating a straw horse. Language and Cognitive Processes 13:
653-672.
Courschene,
E., Hillyard, S. & Galambos, R. (1975).
Stimulus novelty, task
relevance, and the visual evoked potential in man. Electroencephalography and Clinical Neurophysiology 39:
131-143.
D'Esposito,
M., Aguirre, G.K., Zarahn, E.K., Ballard, D.,
Shin, R.K., & Lease, J. 1998.
Functional MRI studies of
spatial and non-spatial working memory.
Cognitive Brain Research
7, 1-13.
D'Esposito,
M., Postle, B.R., Ballard, D., & Lease, J. (1999). Maintenance versus Manipulation of
information held in working memory: An
event-related fMRI study. Brain
and Cognition 41: 66-86.
Duncan,
J. & Owen, A.M. (2000). Common regions of the human frontal lobe recruited by diverse cognitive
demands. Trends in Neurosciences 23: 475-483.
Escera,
C., Alho, K., Schroeger, E., & Winkler, I. (2000). Involuntary
attention and distractibility as evaluated with event-related brain
potentials. Audiology &
Neuro-Ontology 5 (3-4): 151-166.
Farah,
M.J. & Feinberg, T.E. (Eds.) (2000). Patient-based approaches to
cognitive neuroscience. Cambridge,
MA: The MIT Press.
Fillmore,
C. J. (1982). Frame semantics. In
Linguistic Society of Korea (ed.), Linguistics in the Morning Calm. Seoul: Hanshin. 111-137.
Gardner,
H., P. Ling, L. Flamm, & J. Silverman. (1975). Comprehension and appreciation of humour in
brain-damaged patients. Brain
98: 399-412.
Gernsbacher,
M.A. & Robertson, R. (1995).
Reading skill and suppression revisited. Psychological Science 6:
165-169.
Johnson,
R. (1986). A triarchic model of P300 amplitude. Psychophysiology
23:367-384.
Knight,
R.T. (1997). Distributed cortical network for visual attention. Journal of
Cognitive Neuroscience 9: 75-91.
Kutas,
M. (1997). Views on how the electrical activity that the brain generates
reflects the functions of different language structures. Psychophysiology
34: 383-398.
Kutas,
M., Federmeier, K.D., Coulson, S., King,J.W. & Muente, T. (2000).
Language. In (Eds. J. Cacioppo,
L.G. Tassinary, G.G. Bernston), Handbook
of Psychophysiology, 2nd edition.
Cambridge and New York: Cambridge University Press.
Kutas,
M. & Hillyard, S. (1980). Reading
senseless sentences: Brain potentials reflect semantic incongruity. Science 207: 203-205.
Kutas,
M. & Hillyard, S. (1983). Event-related brain potentials to grammatical errors and semantic anomalies. Memory
& Cognition 11: 539-550.
Kutas,
M. & Hillyard, S. (1984). Brain potentials reflect word and semantic
expectancy during reading. Nature 307, 161-163.
Kutas,
M. and J.W. King. (1996). The potentials for basic sentence processing:
Differentiating integrative processes.
In T. Innue and J.
McClelland (eds.), {\it Attention and Performance XVI: Information Integration in Perception and
Communication}. Cambridge: MIT Press.
Kutas,
M. & Van Petten, C. (1994). Psycholinguistics electrified: Event-related
brain potential investigations. In Morton Ann Gernsbacher (Ed.), Handbook of
Psycholinguistics. San Diego:
Academic Press, 83-143.
Lange,
T. E. \& Dyer, M. G. (1989).
High-level inferencing in a connectionist network. Connection Science
1: 181-217.
Luciana,
M., Collins, P., & Depue, R. 1998. Opposing roles for dopamine and
serotonin in the modulation of human spatial working memory functions.
Cerebral Cortex 8: 218-226.
McCarthy,
G. & Wood, C.C. (1985). Scalp distributions of event-related potentials: An ambiguity associated with analysis of variance models. Electroencephalography and Clinical Neurophysiology
62: 203-208.
Minsky,
M. (1975). Frame system theory. In P. N. Johnson-Laird, P. C. Wason (eds.), Thinking: Readings in Cognitive Science.
Cambridge, UK: Cambridge University
Press. 355-376.
Muente,
T.F., Heinze, H.J., Matzke, M., Wieringa, B. & Johannes, S. 1998.
Brain potentials and syntactic violations revisited: No evidence for
specificity of the syntactic positive shift. Neuropsychologia 36, 217-226.
Nahemow,
L. 1986. Humor as a data base for the study of aging. In: Nahemow, L,
McCluskey-Fawcett, KA, McGhee, PE, editors.
Humor and aging. Orlando, FL:
Academic Press, pp. 3-26.
Ranganath,
C. & Paller, K.A. (1999). Frontal brain potentials during recognition are modulated by requirements to
retrieve perceptual detail. Neuron 22:605-13.
Robertson,
D.A., Gernsbacher, M.A., Guidotti, S.J., Robertson, R.R.W., Irwin, W., Mock, B.J., Campana, M.E. (2000). Functional
neuroanatomy of the cognitive process of mapping during discourse comprehension.
Psychological Science 11: 1-8.
Rumelhart,
D. E. & Ortony, A. (1977). The representation of knowledge in memory. In R. C.
Anderson, R. J. Spiro, W. E. Montague (eds.),
Schooling and the Acquisition of -
27
-Knowledge. Hillsdale, NJ: Lawrence Erlbaum Associates.
Sanford,
A. J. & Garrod, S. C. (1981). Understanding Written Language: Explorations Beyond the Sentence.
Chichester: John Wiley \&
Sons.
Schank,
R. C. & R. P. Abelson. (1977). Scripts, Plans, Goals, and Understanding: An Inquiry into Human
Knowledge Structures. Hillsdale, NJ: Lawrence Erlbaum Associates.
Schwanenflugel,
P. (1991). Contextual constraint and lexical processing. In Greg B. Simpson
(Ed.) Understanding word and sentence. Amsterdam, The Netherlands: North
Holland, pp. 23-45.
Senkfor,
A.J. & Van Petten, C. (1998). Who said what? An event-related potential investigation of source and item memory. Journal
of Experimental Psychology: Learning, Memory, & Cognition 24: 1005-1025.
Shammi,
P., & Stuss, D.T. (1999). Humour appreciation: a role of the right frontal lobe. Brain 122:
657-666.
Shastri,
L. and Ajjanagadde, V. (1993). From
simple associations to systematic reasoning: A connectionist representation of
rules, variables, and dynamic bindings using temporal synchrony. Behavioral & Brain Sciences
16(3):417-494.
Shastri,
L. & Mani, D.R. (1998). Massively parallel knowledge representation and reasoning:
Taking a cue from the brain. In (Eds.)
J. Geller, H. Kitano, and C. Suttner Parallel Processing for
Artificial Intelligence 3. Amsterdam and New York: Elsevier Science.
St.
George, M., Kutas, M., Martinez, A., Sereno, M.I. (1999). Semantic integration in reading: engagement of the
right hemisphere during discourse
processing. Brain 122: 1317-25.
St.
George, M., Mannes, S. & Hoffman, J. E. (1994). Global semantic expectancy
and language comprehension. Journal
of Cognitive Neuroscience 6: 70-83.
Suls,
JM. (1972). A two-stage model for the appreciation of jokes and cartoons: an information
processing analysis. In: Goldstein
JH, McGhee PE, editors. The psychology
of humor: theoretical perspectives and empirical issues. New York: Academic
Press, 81-100.
Titone,
D. (1998). Hemispheric differences in
context sensitivity during
lexical ambiguity resolution. Brain
& Language 65, 361-394.
Tucker,
D.M. (1993). Spatial sampling of head
electrical fields: the geodesic sensor net. Electroencephalography and
Clinical Neurophysiology 87: 154-163.
Van
Berkum, J.J.A., Hagoort, P., Brown, C.M. (1999). Semantic integration in sentences and discourse:
Evidence from the N400. Journal of Cognitive Neuroscience 11: 657-671.
Van
Petten, C. & Kutas, M. (1991). Influences of semantic and syntactic context in the processing of
open- and closed- class words. Memory
& Cognition 19: 95-112.
Wilding,
E.L. & Rugg, M.D. (1996). An
event-related potential study of recognition memory with and without retrieval
source. Brain 119: 889-905.
TABLES
Table 1. Sample Stimuli
Low Constraint: Statistics
indicate that Americans spend eighty million a year on games of chance, mostly
Joke Ending:
weddings.
Nonjoke Ending: dice.
High Constraint: She
read so much about the bad effects of smoking she decided she'd have to give up
the
Joke Ending:
reading.
Nonjoke Ending:
habit.
Table 1. Sample Stimuli
FIGURES
Figure 1a. Grand
average (n=28) ERPs to joke (dotted) and nonjoke (solid) endings from all
electrode (n=26) sites. Negative
voltage is plotted up in this and all subsequent figures.
Figure 1b. Grand average (n=28) ERPs to joke (dotted)
and nonjoke (solid) endings over a right posterior electrode site.
Figure 2. Grand
average ERPs (n=28) for the last word of low (solid) and high (dotted)
constraint sentences.
Figure 3. Voltage maps of mean amplitude of the joke
effect (jokes minus nonjokes) measured 300-500 ms in good (left) and poor joke
comprehenders.
Figure 4a. Grand
average ERPs to joke (dotted) and nonjoke (solid) endings to high constraint
sentences in good joke comprehenders (n=14) and poor joke comprehenders (n=14).
Figure 4b. Grand
average ERPs to joke (dotted) and nonjoke (solid) endings to low constraint
sentences in good (left) and poor (right) joke comprehenders.
[1] Inspection of figure 4b suggests that among good comprehenders, joke endings for low constraint sentences also elicited greater amplitude N400. Null results among this group may reflect the presence of an overlapping positivity.