Original Research ARTICLE
An investigation of semantic similarity judgments about action and non-action verbs in Parkinson's disease: implications for the Embodied Cognition Framework
- 1Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, IN, USA
- 2Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA
- 3Division of Cognitive Neuroscience, Department of Neurology, University of Iowa, Iowa city, IA, USA
- 4Department of Cognitive Science, University of California, San Diego, CA, USA
The Embodied Cognition Framework maintains that understanding actions requires motor simulations subserved in part by premotor and primary motor regions. This hypothesis predicts that disturbances to these regions should impair comprehension of action verbs but not non-action verbs. We evaluated the performances of 10 patients with Parkinson's disease (PD) and 10 normal comparison (NC) participants on a semantic similarity judgment task (SSJT) that included four classes of action verbs and two classes of non-action verbs. The patients were tested both ON and OFF medication. The most salient results involved the accuracies and reaction times (RTs) for the action verbs taken as a whole and the non-action verbs taken as a whole. With respect to accuracies, the patients did not perform significantly worse than the NC participants for either the action verbs or the non-action verbs, regardless of whether they were ON or OFF their medication. And with respect to RTs, although the patients' responses were significantly slower than those of the NC participants for the action verbs, comparable processing delays were also observed for the non-action verbs; moreover, there was again no notable influence of medication. The major dissociation was therefore not between action and non-action verbs, but rather between accuracies (relatively intact) and RTs (relatively delayed). Overall, the data suggest that semantic similarity judgments for both action and non-action verbs are correct but slow in individuals with PD. These results provide new insights about language processing in PD, and they raise important questions about the explanatory scope of the Embodied Cognition Framework.
In recent years, a great deal of research on the neural substrates of semantics has focused on theoretical and empirical issues surrounding the Embodied Cognition Framework, also known as the Grounded Cognition Framework or the Simulation Framework (for overviews see Gibbs, 2006; Barsalou, 2008; Semin and Smith, 2008; Coello and Bartolo, 2012). The central tenet of this theory is that conceptual knowledge is not purely amodal in format, but is instead anchored in modality-specific input/output systems, such that many forms of semantic processing involve transient re-enactments of various sensorimotor and affective states. When we interact with the world, complex unimodal (e.g., visual) feature patterns that are common across different presentations of the same category of stimuli are captured by conjunctive units in correspondingly unimodal memory systems, and correlations between feature patterns across different modalities (e.g., visual and auditory) are captured by higher-order conjunctive units in more integrative crossmodal memory systems. Conceptual tasks, such as processing word meanings, are assumed to involve partial re-enactments of the sensorimotor and affective states that occurred when the referents were directly experienced. According to the Embodied Cognition Framework, these recapitulations or simulations are modality-specific in format. However, because they are driven in top-down rather than bottom-up fashion, they are modulated by many task-specific factors, are rarely represented as complete images, and are not necessarily conscious. Not surprisingly, this theory is quite controversial. It has, however, received support from many sources, including studies which suggest that the comprehension of nouns for concrete entities involves the rapid activation of cortically distributed, modality-specific representations of object properties such as shape (e.g., Wheatley et al., 2005), color (e.g., Simmons et al., 2007), sound (e.g., Kiefer et al., 2008), smell (e.g., González et al., 2006), taste (e.g., Barrós-Loscertales et al., 2012), and manipulability (e.g., Hoenig et al., 2008).
Within the Embodied Cognition Framework, there has been growing interest in the domain of action concepts. One particular question that has been attracting increasing attention is whether comprehending an action verb involves simulating the kind of action to which it refers, using some of the same brain structures that underlie the execution of that action. More precisely, the question is this: are the body-part-specific motor features of the meanings of action verbs—e.g., the types of lip/tongue, arm/hand, and leg/foot actions designated by lick, pick, and kick, respectively—subserved by the corresponding body-part-specific regions of the left primary motor and/or premotor cortices? In accord with the Embodied Cognition Framework, numerous studies employing diverse brain mapping methods suggest that reading or hearing action verbs does in fact elicit motor activations that are somatotopically mapped, rapidly triggered, and functionally relevant to comprehension (for reviews see Pulvermüller, 2005, 2008; Willems and Hagoort, 2007; Fischer and Zwaan, 2008; Hauk et al., 2008; Fernandino and Iacoboni, 2010; Kemmerer and Gonzalez-Castillo, 2010; Coello and Bartolo, 2012).
At the same time, however, there are also reasons to suppose that motor simulation during the comprehension of action verbs, as well as during the recognition of directly perceived actions, is not an all-or-nothing affair, but is instead an experientially dependent, situationally variable phenomenon (Taylor and Zwaan, 2009; Willems and Casasanto, 2011). For example, a recent fMRI study showed that handedness significantly influences the hemispheric asymmetry of cortical activation patterns when subjects process manual action verbs, such that right-handers engage predominantly left-lateralized hand-related premotor areas, whereas left-handers engage predominantly right-lateralized hand-related premotor areas (Willems et al., 2010; for related data on action observation see Willems and Hagoort, 2009). Focusing on a much more specific kind of expertise, another recent fMRI study demonstrated that skilled hockey players not only understood sentences about hockey maneuvers better than novices, but also exhibited greater activation in the left dorsal premotor cortex while processing such sentences (Beilock et al., 2008; see also Lyons et al., 2010). Several other brain mapping studies have reported similar expertise effects in non-linguistic action recognition, essentially showing that greater skill at executing certain kinds of actions correlates with greater engagement of body-part-congruent frontal motor regions when those kinds of actions are perceived (Calvo-Merino et al., 2006; Cross et al., 2006, 2009; Aglioti et al., 2008; Van Elk et al., 2008; Candidi et al., 2013).
Of all the unresolved questions in this field of inquiry, perhaps the most important is the following: Under what conditions is motor simulation actually necessary for understanding linguistically represented and/or directly perceived actions? A few studies have provided some hints that damage to motor-related regions of the frontal lobes does cause deficits affecting semantic aspects of action verbs (Kemmerer and Tranel, 2003; Neininger and Pulvermüller, 2003; Bak and Hodges, 2004; Hillis et al., 2004, 2006; Grossman et al., 2008; Kemmerer et al., 2012). To take just one example, in a study involving 34 patients with amyotrophic lateral sclerosis, Grossman et al. (2008) found that atrophy in the motor cortex significantly disrupted comprehension of action verbs but not object nouns. Conversely, several investigations have generated results that appear to challenge the Embodied Cognition Framework. For instance, Arévalo et al. (2012) conducted an experiment in which 27 patients with left-hemisphere strokes were given a task that required them to judge whether a given word correctly described a picture of an action involving face-related, arm/hand-related, or leg/foot-related movement. Many of the patients had lesions that included frontal motor areas, but contrary to the predictions of the theory, significant correlations were not found between impaired performance on specific body-part-related action categories and damage to the corresponding body-part-related motor areas. In another notable study, Papeo et al. (2010) asked 12 patients with left-hemisphere strokes to not only imitate pantomimes of certain actions, but also produce and comprehend the verbs that designate them. Challenging the theory once again, double dissociations were observed between the imitation and verb processing tasks. Of greatest relevance in the current context are a few patients who could no longer imitate actions accurately, but could nevertheless understand the associated verbs without major difficulty. These results suggest that motor simulations may not always be necessary to appreciate linguistic descriptions of actions (for further discussion see Papeo and Hochmann, 2012).
Conflicting results have also been reported regarding the issue of whether non-linguistic action understanding necessarily requires motor simulation. On the one hand, a few neuropsychological studies suggest that frontally mediated motor simulation may in fact be essential for the proper recognition of visually perceived actions (Tranel et al., 2003; Saygin et al., 2004; Saygin, 2007; Serino et al., 2009; Kemmerer et al., 2012). In this context, two recent studies by Pazzaglia et al. (2008a,b) are especially noteworthy, since they indicate that some brain-damaged patients with limb apraxia have parallel production and recognition impairments for actions involving tool use, with strong deficit-lesion associations that are selective for particular action categories and particular frontal regions. On the other hand, it has also been shown that some apraxic patients have impaired knowledge of how to use tools, but can nevertheless discriminate between correct and incorrect uses of tools when they see the objects being manipulated by other people (e.g., Halsband et al., 2001; Rumiati et al., 2001; Negri et al., 2007; for theoretical discussion see Mahon and Caramazza, 2005, 2008). And in a similar vein, although rhesus monkeys are biomechanically incapable of throwing objects in an overhand manner, they can nevertheless predict quite accurately the outcomes of overhand throwing actions that they see humans perform (Wood et al., 2007; see also Wood and Hauser, 2008).
One potentially fruitful way to shed more light on the role(s) that frontal motor areas play in action verb comprehension would be to study patients with Parkinson's disease (PD), a degenerative movement disorder characterized mainly by akinesia, bradykinesia, gait abnormalities, resting tremor, and rigidity. PD is caused by progressive dopamine deficiency in the nigrostriatal pathway (Dauer and Przedborski, 2003; Bartels and Leenders, 2009). Striatal dopamine depletion reduces basal ganglia outflow to frontal motor regions (Alexander et al., 1986; Alexander and Crutcher, 1990), leading to dysregulation of the presupplementary motor area, supplementary motor area, primary motor cortex, and ventral premotor cortex (for a review of functional neuroimaging studies, see Grafton, 2004). The literature has yielded partly conflicting results regarding the exact nature of the altered activation levels in these motor cortices during movement execution; however, the most common pattern appears to be the following: (1) hypoactivation in the presupplementary motor area, supplementary motor area, and primary motor cortex (Jenkins et al., 1992; Playford et al., 1992; Rascol et al., 1992; Jahanshahi et al., 1995; Sabatini et al., 2000; Buhmann et al., 2003); and (2) hyperactivation in the ventral premotor cortex (Samuel et al., 1997; Catalan et al., 1999; Hanakawa et al., 1999; Sabatini et al., 2000), perhaps reflecting a compensatory mechanism (Sabatini et al., 2000; Rothwell and Huang, 2003). Relatively normal levels of activation in all of these cortical regions can be restored, however, by levodopa (L-DOPA) treatment (Dick et al., 1987; Ridding et al., 1995; Haslinger et al., 2001; Pierantozzi et al., 2001).
The relevance of PD to current research on the neural substrates of action verbs, and to the Embodied Cognition Framework more broadly, is as follows. If, as the strong version of the theory maintains, the motor features of the meanings of action verbs rely on left frontal motor regions, then one might expect the processing of those semantic features to be affected by the dysregulation of those cortical regions that occurs in PD. Guided by such reasoning, Boulenger et al. (2008) recently investigated how non-demented PD patients both ON and OFF their medication performed on a lexical decision task in a masked repetition priming paradigm. On each trial, participants were first shown a masked stimulus for 50 ms. Then, 100 ms later, they were shown a letter string which they had to judge as being either a real word or a non-word. The real words were either action verbs or object nouns, and the masked stimuli were either consonant strings or the same real words that were used for lexical decision. In the OFF condition, the patients' responses to nouns were significantly faster when the masked stimuli were the very same nouns, compared to when they were consonant strings; however, the patients' responses to verbs were not significantly faster when the masked stimuli were the very same verbs, compared to when they were consonant strings. In the ON condition, significant priming effects were found for both nouns and verbs. The authors argue that their study supports the Embodied Cognition Framework, claiming specifically that the results provide “compelling evidence that processing lexico-semantic information about action words depends on the integrity of the motor system” (Boulenger et al., 2008, p. 743).
Boulenger et al.'s (2008) study is not without shortcomings, however. First, Mahon and Caramazza (2008) point out that in the OFF condition relative to the ON condition, the difference between the patients' average response time for nouns and their average response time for verbs was only substantial when the masked stimuli were consonant strings; it was miniscule when the masked stimuli were identical words. According to Mahon and Caramazza (2008), this is problematic because “on the view that the observed interaction is driven by ‘deviant’ semantic processing, the expectation would be for the interaction to be carried by modulations in the identity condition, rather than the consonant string baseline condition” (p. 65). Second, even if that expectation had been borne out, such a result would not necessarily have constituted evidence for the Embodied Cognition Framework. This is because all of the verbs in the study encoded actions and all of the nouns encoded objects, making it impossible to reliably distinguish between semantic category effects and grammatical category effects.
A recent study investigating action verb comprehension in PD patients corrected for the aforementioned confounds present in Boulenger et al.'s (2008) study. Fernandino et al. (2013) administered a semantic similarity judgment task (SSJT) to non-demented PD patients and age-matched healthy controls. The majority of PD patients (17 out of 20) were ON dopaminergic medication at the time of testing. Action verbs as well as abstract verbs were organized into 40 triads for each verb type, and each triad was presented in a triangular arrangement. Subjects made judgments about which of the two verbs at the base of the arrangement was most similar in meaning to the verb at the top. Whereas no differences were found in the profiles of reaction times (RTs) between the two groups of subjects, significant differences did emerge between their accuracies. The healthy controls were equally accurate at judging action verbs and abstract verbs, but the PD patients were significantly less accurate at judging action verbs than abstract verbs. At first glance, these findings appear to confirm one of the predictions made by the Embodied Cognition Framework—specifically, that PD patients should be impaired at processing action verbs but not abstract verbs. However, there are several problems with the researchers' analyses that warrant caution when interpreting their results this way.
According to the Embodied Cognition Framework, patients with PD should be worse at comprehending action verbs compared to subjects without a motor impairment. This requires an analysis between the different groups (PD and healthy controls), namely a demonstration that there is an interaction between group type and verb type. However, Fernandino et al.'s (2013) analyses were confined almost entirely to within-group t-tests that can only expose differences in processing each verb type within a group. While an independent samples t-test was performed on the verb type accuracy differences between each group, this is an unconventional method for demonstrating an interaction. Furthermore, while a significant difference between each group was found (p = 0.031, one-tailed), it is unclear whether this difference was due to a very slight deficit in action verb comprehension (PD mean: 95.5%, control mean: 96.7%) or a very slight facilitation in abstract verb comprehension (PD mean: 97.5%, control mean: 96.9%). This can only be determined by using alternative between-group tests, which were not performed. It is also worth noting that although the researchers did not find a significant difference in RT between the two groups, this too was based on an independent samples t-test. Alternative between-group tests might have led to different outcomes, since the data indicate that the PD patients required considerably more time than the control subjects to make their judgments for both action verbs (PD mean: 2451 ms, control mean: 2022 ms) and abstract verbs (PD mean: 2332 ms, control mean: 1890 ms).
The purpose of the present study was to explore in greater detail the question of whether PD affects the semantic processing of action verbs. To that end, we employed a modified version of a task that was used in a recent fMRI study (Kemmerer et al., 2008). That study tested several predictions, all derived from the Embodied Cognition Framework, about the neural correlates of subtle conceptual distinctions between verbs belonging to the following five classes, each defined in terms of both semantic and syntactic properties (Levin, 1993): Running (e.g., run, jog, walk), Hitting (e.g., hit, poke, jab), Cutting (e.g., cut, slice, hack), Speaking (e.g., yell, whine, whisper), and Change of State (e.g., bloom, blossom, wilt). The main task was called the SSJT, and, as in Fernandino et al.'s (2013) investigation, it involved making fine-grained discriminations among triads of verbs within each class (e.g., determining that trudge is more like limp than stroll, that pound is more like pummel than prod, that hack is more like chop than carve, etc.), and the baseline task involved making comparable judgments about strings of characters in Wingdings font. Contrary to the authors' expectations, and also contrary to the previous fMRI studies by Tettamanti et al. (2005) and Aziz-Zadeh et al. (2006), Speaking verbs did not engage any lip/tongue-related motor regions1. However, in keeping with the Embodied Cognition Framework, Running verbs engaged a putatively leg/foot-related left primary motor region, Hitting verbs engaged a putatively arm/hand-related left primary motor region, Cutting verbs engaged a putatively arm/hand-related (and tool-related; see Lewis, 2006) left premotor region, and Change of State verbs did not engage any left primary motor or premotor regions, which was exactly as predicted, since they do not necessarily encode bodily actions2.
In the current study, we administered a slightly different version of the SSJT to 10 non-demented PD patients and 10 age- and education-matched normal comparison (NC) participants. In particular, this version of the task included a sixth verb class—namely, so-called Psych verbs (e.g., amuse, delight, startle; see Levin, 1993, pp. 188–193). The task therefore consisted of four classes of action verbs—Running, Hitting, Cutting, and Speaking—and two classes of non-action verbs—Change of State and Psych. The PD patients were tested both ON and OFF their dopaminergic treatment.
At the outset of our study, we made the following predictions based on the strong form of the Embodied Cognition Framework—that is, the form which maintains that motor simulations are essential for understanding actions. Relative to the NC participants, when the PD patients are OFF their medication they should exhibit significantly lower accuracies and/or significantly longer response times for the four classes of action verbs, but the two groups should not perform differently for the two classes of non-action verbs. In addition, the patients' performance on action verbs should improve when they are ON their medication, due to the increase in dopamine in the nigrostriatial pathway and the corresponding improvement in the functional afferentation of motor-related left frontal regions. Our primary goal was to test these predictions that derive from the strong form of the Embodied Cognition Framework3. In interpreting our results, however, we also took into consideration a weaker form of the Embodied Cognition Framework—that is, a form which maintains that, as suggested by some of the literature reviewed above, although motor simulations can deepen or enrich the understanding of actions, they are not always necessary for such understanding (Binder and Desai, 2011; Meteyard et al., 2012). We return to these issues in the Discussion.
The PD patients were 10 individuals with the following demographic characteristics: age (M = 75.5, SD = 6.3); education (M = 16.3, SD = 3.7); sex (5 male, 5 female); racial composition (100% white). All were right-handed as measured by the Geschwind–Oldfield Questionnaire (M = +99.0, SD = 2.0), were native speakers of English, and reported no history of neurological or psychiatric illness other than PD. Additional clinical features of the patients are shown in Table 1. They had been diagnosed with PD between 4 and 13 years prior to their participation in this study (M = 7.6, SD = 2.8), and were undergoing levodopa therapy (M = 475 mg/day, SD = 175). Although motor disability is often assessed with the Unified Parkinson's Disease Rating Scale (Fahn and Elton, 1987), we were unable to obtain such data for our patients because their neurologists do not routinely use that method of evaluation. We therefore relied on the less complex but still informative Hoehn and Yahr (1967) system for determining each patient's stage of PD (M = 2.8, SD = 0.4). In addition, we used the Beck Depression Inventory (Beck et al., 1961) to assess each patient's mood (M = 13.3, SD = 7.5).
To ensure that all of the patients were non-demented and had adequate cognitive function to support performance on the verb processing task described below, the Cognitive Linguistic Quick Test (CLQT; Helm-Estabrooks, 2001) was administered. It screens an individual's mental capacities in the domains of attention, memory, executive function, language, and visuospatial skills, and it provides a “composite” measure of overall cognitive function; in addition, it includes a clock drawing task. For each separate domain, as well as for the composite measure and the clock drawing task, scores are interpreted as indicating one of four levels of severity: within normal limits, mildy impaired, moderately impaired, or severely impaired. We established the following exclusionary criteria for participation in our study. No patient could be classified as more than mildly impaired on the composite measure or the clock drawing task; furthermore, no patient could be classified as severely impaired in any of the separate cognitive domains. Based on these criteria, two patients were excluded from the study prior to forming the final group of 10 patients. While our exclusionary criteria are admittedly somewhat arbitrary, we suspect that no approach is perfect, and the particular method we employed was sufficient for our unique purposes because it allowed us to be confident that all of the patients who we ultimately selected were fully capable of understanding and following the instructions for the verb task. The CLQT results for each of the 10 patients are shown in Table 2.
A group of NC participants was also studied. These were 10 native English speakers, selected so as to be free of neurological or psychiatric illness yet closely matched with the PD patients in terms of both age and education. They had the following demographic characteristics: age (M = 71.5, SD = 9.6); education (M = 16.5, SD = 3.4); sex (6 male, 4 female); racial composition (100% white). Nine of the participants were fully right-handed (+100), and one was predominantly left-handed (−70), as measured by the Geschwind–Oldfield Questionnaire.
All of the PD patients and NC participants gave written informed consent in accordance with the Human Subjects Committee of Purdue University and federal regulations. They enrolled in the study on a voluntary basis and were financially compensated for their time.
All of the participants performed the SSJT. It requires the participant to compare relatively subtle aspects of the meanings of verbs. Each item consists of three verbs in a triangular array—one at the top and two at the bottom—and the task is to indicate, as quickly and accurately as possible, which of the two bottom verbs is more similar in meaning to the one on top. For example:
For each item, all three verbs come from the same semantic class, and the “odd one out” is only moderately different from the other two, so performing the task requires the participant to think carefully about how the verbs relate to each other.
The SSJT contains a total of 144 items—24 from each of the six classes mentioned in the Introduction, namely Running, Hitting, Cutting, Speaking, Change of State, and Psych (for details concerning these verb classes, see Levin, 1993). As noted by Kemmerer et al. (2008), the verbs comprising the items based on the first five classes are not significantly different with respect to either frequency (M = 44.9, SD = 8.0, p = 0.24, frequency data drawn from Carroll et al., 1971) or letter length (M = 5.0, SD = 1.2, p = 0.14). The verbs comprising the items in the Psych condition are closely matched with the verbs comprising the items in the other conditions in terms of frequency (M = 43.4, SD = 5.8), but they are somewhat longer in terms of letters (M = 6.9, SD = 1.3).
The SSJT was administered to each participant in 4 separate runs. Each run lasted 4 min and 54 s and contained 6 blocks of items from the SSJT. At the beginning of each block, the word “Verbs” was presented for 5 s followed by 1 s of blank screen. Then 6 items from the SSJT were presented, with each item being shown for 5 s followed by 1 s of blank screen. The verbs comprising the 6 items within a given block were all from the same class (e.g., 6 consecutive items involving Cutting verbs). Each of the 6 classes was represented by 1 block in each run, but the order of class-specific blocks varied across the 4 runs in an unpredictable way. The 6 blocks in each run were separated from each other by 6-s periods during which the participant viewed a flashing fixation cross. In addition, each run began and ended with a 6-s period during which the participant viewed a flashing fixation cross. A complete list of the items is provided in the Appendix.
The SSJT was administered via a laptop computer, and stimulus presentation and response collection were controlled using MacStim (http://www.brainmapping.org/WhiteAnt). The participants responded to each item either by pushing the “m” key with the right index finger to indicate that the verb on the right side of the triangular array was more similar to the one on top, or by pushing the “v” key with the left index finger to indicate that the verb on the left side of the triangular array was more similar to the one on top.
PD patients one through nine were visited at their homes on three separate occasions. (The scheduling of visits for the tenth patient is described below.) On the first visit, each patient received just one run of the SSJT while ON his or her medication. This was done both to familiarize the patient with the task and to obtain an initial baseline measure of performance. The CLQT, Beck Depression Inventory, and Geschwind–Oldfield Questionnaire were administered during the first visit as well, with the following exceptions: the fifth patient (PD5) received the CLQT 15 days prior to the first visit; the sixth patient (PD6) received the CLQT 56 days prior to the first visit; the eighth patient (PD8) received the CLQT 15 days after the first visit; and the ninth patient (PD9) received the CLQT 248 days prior to the first visit. On the second and third visits, each patient received the entire SSJT. The single run of the SSJT that the patient received during the first visit was always the last of the four runs that he or she received during the second and third visits. Moreover, during the second and third visits, the patient received the same sequence of four runs. However, over the course of the study, we employed a Latin-square design such that PD1 received run sequence 1,2,3,4, PD2 received run sequence 2,3,4,1, PD3 received run sequence 3,4,1,2, and so on. One half of the patients were ON their medication during the second visit and OFF it (for at least 12 h) during the third visit, whereas the other half were OFF their medication during the second visit and ON it during the third visit. Across patients one through nine, the first and second visits were separated by an average of 14.3 days (range = 2–44, SD = 12.9), and the second and third visits were separated by an average of 19.9 days (range = 14–30, SD = 7.1). On each of the three visits, the patients received a practice block of six items before receiving the SSJT. None of the items in this practice block was also included in the SSJT. Finally, with regard to the tenth patient (PD10), she was only visited twice at her home. She was ON her medication during the first visit, and received the entire SSJT as well as the CLQT, Beck Depression Inventory, and Geschwind–Oldfield Questionnaire. She was OFF her medication during the second visit (19 days later), and received the entire SSJT again.
Some participants failed to respond to certain items in the SSJT within the allotted 5-s period. These trials were excluded from the analyses of accuracy and RT presented below. Table 3 indicates the number and proportion of such trials in each verb class for the NC participants, the PD patients in the ON condition, and the PD patients in the OFF condition. Although very few trials were excluded, a t-test revealed that the PD patients failed to respond to significantly more items in the OFF condition than in the ON condition (p < 0.05).
Table 3. Number (and proportion) of trials in the Semantic Similarity Judgment Task (SSJT) to which participants failed to respond within the allotted 5-s period.
Figure 1. Accuracy results for the Semantic Similarity Judgment Task (SSJT). Verb classes are plotted on the horizontal axis, and percent correct is plotted on the vertical axis. Bars represent means and standard deviations. C.o.S., Change of State; NC, normal comparison participants; PD ON, PD patients ON medication; PD OFF, PD patients OFF medication.
Three repeated measures analyses of variance (ANOVAs) were used to explore the performance patterns of the NC participants, the PD patients ON medication, and the PD patients OFF medication for the four classes of verbs that collectively fall under the rubric of “action verbs.”
In the first analysis, the between-subjects factor was group—NC vs. PD-ON—and the within-subjects factor was action verb class—Running vs. Hitting vs. Cutting vs. Speaking. There was no effect of group, indicating that the PD patients ON medication did not perform significantly worse than the NC participants. However, there was an effect of action verb class, F(3, 54) = 8.873, p < 0.001. Follow-up Bonferroni-corrected pairwise comparisons revealed that this effect was driven by significant differences between Cutting verbs and the other three classes of action verbs (all ps < 0.05).
In the second analysis, the between-subjects factor was group—NC vs. PD-OFF—and the within-subjects factor was action verb class—Running vs. Hitting vs. Cutting vs. Speaking. There was no effect of group, indicating that the PD patients OFF medication did not perform significantly worse than the NC participants. However, there was again an effect of action verb class, F(3, 54) = 8.261, p < 0.001. Follow-up Bonferroni-corrected pairwise comparisons identified significant differences between Cutting verbs and two of the other three classes of action verbs, specifically Hitting verbs and Speaking verbs (all ps < 0.05).
In the third analysis, the between-subjects factor was group—PD-ON vs. PD-OFF—and the within-subjects factor was action verb class—Running vs. Hitting vs. Cutting vs. Speaking. There was no effect of group, indicating that the PD patients did not perform worse OFF than ON their dopaminergic medication. But once more there was an effect of action verb class. Follow-up Bonferroni-corrected pairwise comparisons pointed again to significant differences between verbs of Cutting and verbs of both Hitting and Speaking (all ps < 0.05).
We also conducted three repeated measures ANOVAs analogous to those described above, only with reference to the two classes of non-action verbs. Across these three analyses, the between-subjects factor was always group, but the particular variables shifted as follows: (1) NC vs. PD-ON; (2) NC vs. PD-OFF; (3) PD-ON vs. PD-OFF. The within-subjects factor was always non-action verb class: Change of State vs. Psych. No significant effects emerged for either factor.
Action verbs vs. non-action verbs
Finally, we investigated whether the NC participants, the PD patients in the ON condition, and the PD patients in the OFF condition exhibited significantly different degrees of accuracy on the action verbs taken as a whole compared to the non-action verbs taken as a whole. First we generated for each subject a mean percentage correct score for all four classes of action verbs and another mean percentage correct score for both classes of non-action verbs. This was done twice for the PD patients, once for the ON condition and again for the OFF condition. Then we entered those scores into a repeated measures ANOVA with two factors—group (NC vs. PD-ON vs. PD-OFF) and verb type (action vs. non-action). The analysis revealed no significant effects, indicating that for each of the three groups of interest—namely, NC participants, PD patients ON medication, and PD patients OFF medication—action and non-action verbs elicited comparable levels of accuracy.
Figure 2. Reaction time results for the Semantic Similarity Judgment Task (SSJT). Verb classes are plotted on the horizontal axis, and reaction time in seconds is plotted on the vertical axis. Bars represent means and standard deviations. C.o.S., Change of State; NC, normal comparison participants; PD ON, PD patients ON medication; PD OFF, PD patients OFF medication.
As before, three repeated measures ANOVAs were used to explore the performance patterns of the NC participants, the PD patients ON medication, and the PD patients OFF medication for the four classes of action verbs.
In the first analysis, the between-subjects factor was group—NC vs. PD-ON—and the within-subjects factor was action verb class—Running vs. Hitting vs. Cutting vs. Speaking. There was an effect of group, F(1, 18) = 4.545, p < 0.05, indicating that the PD patients in the ON condition responded to the action verbs significantly more slowly than the NC participants. There was also an effect of action verb class, F(3, 54) = 14.246, p < 0.001, and follow-up Bonferroni-corrected pairwise comparisons revealed significant differences between the following classes (all ps < 0.05): Running vs. Speaking; Hitting vs. Cutting; and Cutting vs. Speaking.
In the second analysis, the between-subjects factor was group—NC vs. PD-OFF—and the within-subjects factor was action verb class—Running vs. Hitting vs. Cutting vs. Speaking. Again, there was an effect of group, F(1, 18) = 4.575, p < 0.05, indicating that the PD patients in the OFF condition responded to the action verbs significantly more slowly than the NC participants. In addition, there was an effect of verb class, F(3, 54) = 8.920, p < 0.001, and follow-up Bonferroni-corrected pairwise comparisons revealed significant differences between Hitting and Cutting verbs as well as between Cutting and Speaking verbs (all ps < 0.05).
In the third analysis, the between-subjects factor was group—PD-ON vs. PD-OFF—and the within-subjects factor was action verb class—Running vs. Hitting vs. Cutting vs. Speaking. No effect of group emerged, indicating that the PD patients were not markedly slower in the OFF than the ON condition. However, an effect of action verb class appeared once more, F(3, 54) = 18.685, p < 0.001, and follow-up Bonferroni-corrected pairwise comparisons revealed significant differences between all of the classes except Running vs. Hitting (all ps < 0.05).
Another set of repeated measures ANOVAs focused on the RT results pertaining to the two classes of non-action verbs.
In the first analysis, the between-subjects factor was group—NC vs. PD-ON—and the within-subjects factor was non-action verb class—Change of State vs. Psych. There was an effect of group, F(1, 18) = 4.225, p < 0.05, indicating that the PD patients in the ON condition were significantly slower than the NC participants. In addition, there was an effect of non-action verb class, F(1, 18) = 8.679, p < 0.01, and follow-up analyses confirmed that response latencies for Change of State verbs were significantly longer than for Psych verbs.
In the second analysis, the between-subjects factor was group—NC vs. PD-OFF—and the within-subjects factor was non-action verb class—Change of State vs. Psych. Again, there was an effect of group, F(1, 18) = 2.116, p < 0.05, indicating that the PD patients in the OFF condition were slower than the NC participants. Moreover, there was an effect of non-action verb class, F(1, 18) = 11.758, p < 0.01, with follow-up analyses demonstrating once again that RTs for Change of State verbs were significantly longer than for Psych verbs.
In the third analysis, the between-subjects factor was group—PD-ON vs. PD-OFF—and the within-subjects factor was non-action verb class—Change of State vs. Psych. No significant effects were found.
Action verbs vs. non-action verbs
Finally, we investigated whether the NC participants, the PD patients in the ON condition, and the PD patients in the OFF condition displayed significantly different RTs for the action verbs taken as a whole compared to the non-action verbs taken as a whole. As in the treatment of accuracy data described in section Action Verbs vs. Non-Action Verbs, we first generated for each subject a mean RT for all four classes of action verbs and another mean RT for both classes of non-action verbs. This was done twice for the PD patients, once for the ON condition and again for the OFF condition. Then we entered those data into a repeated measures ANOVA with two factors—group (NC vs. PD-ON vs. PD-OFF) and verb type (action vs. non-action). Although the analysis revealed no effect of verb type, it did yield an effect of group, F(1, 2) = 4.31, p < 0.05. However, none of the follow-up adjusted Tukey-Kramer tests reached significance: NC vs. PD-ON, p = 0.098; NC vs. PD-OFF, p = 0.059; PD-ON vs. PD-OFF, p = 0.981. Overall, the most important finding is that for each of the three groups of interest—namely, NC participants, PD patients ON medication, and PD patients OFF medication—RTs for action verbs were comparable to those for non-action verbs.
Given the relatively small samples of subjects in this study, one might argue that non-parametric statistical analyses are more appropriate than parametric ones. For this reason, we also conducted analyses similar to those presented above, only employing Wilcoxon tests. The results of those analyses are consistent with the results of the aforementioned ANOVAs.
In addition, we investigated whether the PD patients' disease durations significantly correlated with their accuracies and/or RTs for the different classes of action and non-action verbs. Regarding accuracies, we did not find any significant correlations when the patients were ON medication; however, we did find two significant correlations when they were OFF medication. Specifically, accuracies for Cutting verbs [r(9) = −0.81, p < 0.01] and Psych verbs [r(9) = −0.61, p < 0.05] were negatively correlated with disease duration. Thus, longer disease duration led to decreased performance for these verb classes. As for RTs, no significant correlations emerged in either the ON or OFF condition.
In this study we evaluated the ability of 10 non-demented PD patients and 10 NC participants to make fine-grained semantic similarity judgments about four classes of action verbs—Running, Hitting, Cutting, and Speaking—and two classes of non-action verbs—Change of State and Psych. Some interesting effects emerged for one specific class, namely Cutting verbs, and we will briefly consider those findings below. However, the most salient and theoretically relevant results involved the accuracies and RTs for the action verbs taken as a whole and the non-action verbs taken as a whole. With respect to accuracies, the PD patients did not perform significantly worse than the NC participants for either the action verbs or the non-action verbs, regardless of whether they were ON or OFF their dopaminergic medication. And with respect to RTs, although the PD patients' responses were significantly slower than those of the NC participants for the action verbs, comparable processing delays were also observed for the non-action verbs; moreover, there was again no notable influence of medication status. The most pronounced dissociation was therefore not between action and non-action verbs, but rather between accuracies (relatively intact) and RTs (relatively delayed). Overall, the data suggest that semantic similarity judgments for both action and non-action verbs are, for the most part, correct but slow in individuals with PD.
As we pointed out in the Introduction, a similar study was recently reported by Fernandino et al. (2013), and although their statistical analyses had some non-trivial limitations, it is noteworthy that several aspects of their results are comparable to our findings. To briefly reiterate: with respect to accuracies, their patients, like ours, performed at virtually the same level as the healthy control subjects for both action verbs (PD mean: 95.5%, control mean: 96.7%) and abstract verbs (PD mean: 97.5%, control mean: 96.9%). And with respect to RTs, their patients, like ours, took considerably longer than the healthy control subjects to make their judgments for both action verbs (PD mean: 2451 ms, control mean: 2022 ms) and abstract verbs (PD mean: 2332 ms, control mean: 1890 ms).
These behavioral patterns are important not only because they add to the literature on language processing in PD, but also because they are relevant to recent debates surrounding the Embodied Cognition Framework. In what follows, we elaborate several alternative explanations of our results, focusing first on the finding of relatively preserved comprehension of both action and non-action verbs, and then on the finding of relatively delayed semantic processing of both action and non-action verbs. Throughout the discussion, we explore some of the ways in which our study might bear on the Embodied Cognition Framework.
PD Patients have Relatively Preserved Comprehension of both Action and Non-Action Verbs
As already noted, the strong form of the Embodied Cognition Framework maintains that understanding actions—both directly perceived and linguistically represented—necessarily requires motor simulations that are mediated in part by left frontal regions, particularly the primary motor and premotor cortices. Because these regions are dysfunctional in PD due to altered afferentation from the basal ganglia, one might suppose that they would no longer be able to support normal motor simulations of the kinds of bodily actions that are typically encoded by verbs. Such a view predicts that PD patients OFF medication would be at least moderately impaired on a task like the SSJT, which forces participants to make subtle semantic similarity judgments about action verbs. We found, however, that when the four classes of action verbs in the SSJT were analyzed as a whole, the PD patients OFF medication performed just as accurately as the control subjects. This discovery therefore seems to pose a challenge to the strong form of the Embodied Cognition Framework.
It is important to recognize, though, that this line of argumentation hinges on the key assumption that the capacity for motor simulation is in fact disrupted in PD. To be sure, there are a few hints that in this population implicit motor simulations are abnormal during the observation of actions. Specifically, two recent studies have shown that, relative to control subjects, PD patients do not exhibit normal corticomotor facilitation (Tremblay et al., 2008) or behavioral facilitation (Castiello et al., 2009) during the observation of actions performed by neurologically healthy adults. In addition, a few studies have revealed abnormalities involving explicit motor imagery in PD patients (Dominey et al., 1995; Cunnington et al., 2001; Thobois et al., 2002; Amick et al., 2006; Helmich et al., 2007). To the best of our knowledge, however, nothing else is currently known about the capacity for motor simulation in PD, and this raises difficult questions about whether it is really possible, at this stage of inquiry, to use the Embodied Cognition Framework to formulate clear predictions regarding the status of verb comprehension in PD.
Several possibilities are worth considering. One is that PD does disrupt motor simulations during verb comprehension, but only to a mild degree, so that such simulations can still help patients determine the semantic relations among the action verbs in the SSJT. This view is still compatible with the strong form of the Embodied Cognition Framework; however, it predicts that PD patients would exhibit lower accuracies on a task that required substantially more attention to the motor features of verb meanings. In addition, it predicts that stroke patients who have suffered direct focal lesions to body-part-specific motor areas would have, relative to PD patients, more severely disrupted capacities for motor simulation, and hence would be more likely to perform poorly on the action verbs in the SSJT. Further research is needed to test these hypotheses.
Yet another possibility is that the capacity for motor simulation is impaired to a non-trivial extent in PD; however, this disturbance is not sufficient to prevent patients from achieving a high level of accuracy on the action verbs in the SSJT. This view cannot easily be reconciled with the strong form of the Embodied Cognition Framework, but it is consistent with a weaker form of the theory which maintains that it is not always necessary to run motor simulations in left frontal regions in order to appreciate the nuances of action verbs; instead, other types of modality-specific semantic representations subserved by other cortical areas may be adequate for many comprehension tasks, including the SSJT (Taylor and Zwaan, 2009). For example, it is noteworthy that in Kemmerer et al.'s (2008) fMRI study, verbs of Running, Hitting, and Cutting engaged not only somatotopically mapped motor areas in the left frontal lobe, but also a number of additional regions, one of which was the left posterolateral temporal cortex (encompassing the posterior superior temporal sulcus and the adjacent posterior middle temporal gyrus), an area that may contribute to representing, at least in a schematic manner, the types of visual motion patterns that are encoded by verbs (see also Kable et al., 2002, 2005; Tranel et al., 2003, 2005, 2008; Deen and McCarthy, 2010; Wallentin et al., 2011; Kemmerer et al., 2012; Humphreys et al., 2013; Peelen et al., 2013; for a review see Gennari, 2012). Importantly, the fact that all of these areas were engaged does not mean that all of them are essential for successful task performance. Indeed, taken by themselves, the fMRI results are compatible with the possibility that healthy individuals—and also, crucially, the PD patients in the current study—might be able to perform fairly well on the SSJT by relying more on visual information represented in the left posterolateral temporal cortex than on motor information represented in the left frontal cortex.
Although this account is internally coherent, its explanatory power is also limited. As we mentioned in the Introduction, there is independent evidence that directly affecting the operations of the left primary motor and/or premotor cortices does, at least in some circumstances, have functional consequences for understanding action verbs. For example, single-pulse TMS applied to hand-related left primary motor cortex facilitates lexical decisions for hand-related verbs but not leg-related verbs, and conversely, stimulation of leg-related left primary motor cortex facilitates lexical decisions for leg-related verbs but not hand-related verbs (Pulvermüller, 2005). In addition, repetitive TMS applied to hand-related left primary motor cortex delays the process of making morphological transformations of both action verbs and action nouns, but does not influence this process for either state verbs or state nouns (Gerfo et al., 2008). Furthermore, a few neuropsychological studies suggest that damage to left motor areas can impair the understanding of not only action verbs (Kemmerer and Tranel, 2003; Bak and Hodges, 2004; Hillis et al., 2004, 2006; Grossman et al., 2008; Kemmerer et al., 2012) but also non-linguistic action concepts (Tranel et al., 2003; Saygin et al., 2004; Saygin, 2007; Pazzaglia et al., 2008a,b; Serino et al., 2009; Kemmerer et al., 2012). Nevertheless, it is also worth recalling from the Introduction that the neuropsychological literature on this topic is somewhat mixed, since some patients with action production deficits can still appreciate the corresponding verbs (Papeo et al., 2010) and/or still visually discriminate between correct and incorrect object-directed movements (e.g., Halsband et al., 2001; Rumiati et al., 2001; Negri et al., 2007).
So far we have been dealing with action verbs in general, but at this juncture it is worth recalling that our study did reveal some relatively small but nevertheless statistically significant accuracy differences between the four classes of action verbs in the SSJT. In particular, Cutting verbs elicited lower scores than the other types of verbs, and performance differences emerged not only between the NC participants and the PD patients, but also between the PD patients in the ON and OFF conditions. Converging with this finding is the additional discovery that the patients' accuracies on Cutting verbs, but not on any of the other types of action verbs, correlated significantly with their disease duration such that the lowest scores were obtained by those patients with the longest histories of PD. In keeping with these results, it is also notable that in Kemmerer et al.'s (2008) fMRI study, Cutting verbs engaged by far the largest cluster of voxels in the left frontal lobe, encompassing portions of the hand-related ventral premotor region that is well-established as being dysfunctional in PD (Samuel et al., 1997; Catalan et al., 1999; Hanakawa et al., 1999; Sabatini et al., 2000). Taken together, these considerations suggest that if we restrict our attention to just this one narrow class of action verbs, the accuracy data can in fact be accommodated by the strong form of the Embodied Cognition Framework. At the same time, however, we would like to emphasize that in the broader context of the study as a whole, this is a fairly minor result that should not be over-interpreted.
More generally, it remains puzzling why the PD patients in the current study manifested relatively intact comprehension of the other three classes of action verbs, and it is hard to determine precisely what this finding implies about the Embodied Cognition Framework. We submit that the correct interpretation is uncertain mainly because of the following two factors, both of which we elaborated above: first, it is not clear how much PD affects the ability of the frontal lobes to support motor simulations during action observation and action verb comprehension; and second, there are different forms of the Embodied Cognition Framework—strong and weak—that make different claims about the functional importance of motor simulations during action observation and action verb comprehension.
Before moving on to discuss the RT results, it may be worthwhile to step back for a moment and take a broader theoretical perspective on the issues surrounding the accuracy data. According to recent research on the neural substrates of semantic knowledge, the meanings of words depend not only on modality-specific brain systems for perception and action, but also on higher-order integrative mechanisms in the anterior temporal lobes (ATLs) that serve to bind and organize the multifarious crossmodal features of concepts (e.g., Simmons and Barsalou, 2003; Patterson et al., 2007; Binney et al., 2010; Lambon Ralph et al., 2010; Visser et al., 2010; Peelen and Caramazza, 2012; note that the left angular gyrus may have similar integrative functions, as suggested by Binder et al., 2009, Bonner et al., 2013 and Seghier, 2013). Although most of this work has focused on object concepts, there is growing evidence that the ATLs also contribute to the representation of action concepts (Cotelli et al., 2006; Hillis et al., 2006; Murray et al., 2007; Pulvermüller et al., 2009) and abstract concepts (Jefferies et al., 2009; Pobric et al., 2009; Wang et al., 2010; Hoffman and Lambon Ralph, 2011). Now, some investigators—see especially the work of Matthew Lambon Ralph and his colleagues—have argued that the semantic representations in the ATLs are completely amodal in character. This proposal has been challenged (Skipper et al., 2011; Gainotti, 2012), but even if we assume, for the sake of argument, that it is correct, we are not necessarily forced to accept a theory that accounts for conceptual processing entirely in terms of amodal representations. Instead, the possibility opens up for a theory that posits rich interactions between amodal representations on the one hand and modality-specific representations on the other, along the lines of the so-called “hub and spoke” model that Lambon Ralph and his colleagues have been developing (e.g., Lambon Ralph et al., 2010; Pobric et al., 2010; Hoffman and Lambon Ralph, 2013). This type of hybrid approach builds on the Embodied Cognition Framework in important ways, and it suggests that the PD patients in the current study may have benefited from having intact amodal representations of verb meanings in the ATL. It is also possible that these amodal representations are accessed rapidly and automatically, whereas the related modality-specific representations are accessed more slowly and strategically, but further research is required to determine whether this is really the case (for theoretical discussion see Mahon and Caramazza, 2008, and Tomasino and Rumiati, 2013; and for related electrophysiological data involving object concepts see Chan et al., 2011 and Naci et al., 2012).
PD Patients have Relatively Slow Semantic Processing of both Action and Non-Action Verbs
We turn now to the RT results. Based on the strong form of the Embodied Cognition Framework, together with the fact that PD reduces basal ganglia outflow to the frontal lobes and thereby leads to hypoactivation of the majority of motor cortices, one could reasonably predict that PD patients OFF medication would have abnormally long RTs for the action verbs, but not the non-action verbs, in the SSJT. What we found, however, is that the patients' responses were markedly delayed for both of these general categories of verbs. In addition, these delays were not significantly reduced when the patients performed the task while ON medication. These results therefore appear to challenge the strong form of the Embodied Cognition Framework.
One way to explain the RT results, in a manner that would still be compatible with the weak form of the Embodied Cognition Framework, would be to assume that PD prolongs either or both of the following two phases of the comprehension process that is tapped by all of the items, action-related as well as non-action-related, in the SSJT: (1) the initial activation of the idiosyncratic semantic features of particular verbs; and (2) the subsequent analysis and comparison of the semantic features of different verbs through the deliberate use of working memory and attentional control. Regarding phase 1, as indicated in the Introduction, Boulenger et al. (2008) ostensibly demonstrated that immediate semantic activation is more impaired for action verbs than object nouns in PD. However, we pointed out several limitations of that study, and it is noteworthy that several other studies suggest that dopamine and the basal ganglia exert an influence on semantic activation for not just action verbs but also object nouns (Kischka et al., 1996; Copland, 2003; Angwin et al., 2004, 2009; Pederzolli et al., 2008; Copland et al., 2009; see also Crosson et al., 2007). It is therefore conceivable that the patients in our study suffered from delays in initial semantic activation for many kinds of words, and that these delays contributed to their abnormally long response times for both the action verbs and the non-action verbs in the SSJT.
Regarding phase 2 of the comprehension process, it is also possible that the patients' abnormally long response times for both types of verbs reflect delays in carrying out the voluntarily controlled semantic analyses and comparisons that are necessary for explicitly judging the different degrees of similarity among the three verbs comprising each item in the SSJT, regardless of whether those verbs do or do not designate actions. Recent research suggests that semantic working memory depends on certain sectors of the left inferior frontal gyrus, with the pars orbitalis (~BA47) supporting mainly the retrieval of specific semantic structures stored in other brain regions, and the pars triangularis (~BA45) supporting mainly the post-retrieval resolution of competitions among activated representations (for a review see Badre and Wagner, 2007; see also, e.g., Thompson-Schill et al., 1998, 1999; Moss et al., 2005; Gold et al., 2006; Bedny et al., 2008). These left inferior frontal areas were engaged by all of the verb classes in Kemmerer et al.'s (2008) fMRI study, and from the perspective of the Embodied Cognition Framework, they may play important roles in the strategic process of guiding and manipulating simulations of various modality-specific aspects of verb meaning in other cortical regions. Importantly, these areas may be involved in circuits with the basal ganglia (Ullman, 2006), and hence they may be dysfunctional in PD, leading to a general slowing of strategic semantic processing. The hypothesis that PD affects phase 2 of the comprehension process tapped by the SSJT has the additional virtue of converging with a large literature pointing to deficits in working memory and attentional control in PD (e.g., Lees and Smith, 1983; Taylor et al., 1986; Cooper et al., 1991; Gabrieli et al., 1996; Lewis et al., 2003; Moustafa et al., 2008; for a review see Owen, 2004).
Might slowness in the initiation and/or execution of button pressing be another factor contributing to the patients' abnormally long RTs for both action and non-action verbs in the SSJT? This is certainly possible. Unfortunately, we did not include in our experiment an independent measure of the speed of cued button pressing. However, we suspect that even if slowness in this domain were present, it would only account for a relatively small proportion of the patients' response delays when performing the SSJT. For instance, in Boulenger et al.'s (2008) study of lexical decisions in a masked repetition priming paradigm, when PD patients pressed buttons in response to nouns while ON their medication, their RTs were only about 70 ms slower than those of the control subjects, and of course some of that delay could have reflected slowness in the lexical decision process itself, rather than in the planning and/or execution of button pressing. In our study, if one averages across all six classes of verbs, the PD patients ON medication were about 400 ms slower than the NC participants (consistent with the results reported by Fernandino et al., 2013), and the PD patients OFF medication were about 500 ms slower. Thus, while slowness in button pressing may have contributed slightly to the patients' response delays, those delays were most likely due primarily to protracted semantic processing.
Finally, although the PD patients failed to meet the 5-s response time cutoff for significantly more trials in the OFF condition than in the ON condition (see section Excluded Trials), it is noteworthy that for the trials that they did complete, they were not significantly slower at making judgments in the OFF condition than in the ON condition. This outcome goes against our expectation that dopaminergic treatment would significantly facilitate semantic processing in the ON condition. However, while such treatment is known to improve the motor symptoms of PD, its effects on cognition are more complex, and a wide range of positive, negative, and neutral influences have been observed, depending on a variety of factors such as task demands and basal dopamine levels (for a review see Cools, 2006). For example, at least two studies have found that L-DOPA does not change PD patients' performance on the Wisconsin Card Sorting Task (Gotham et al., 1988; Lange et al., 1995). Consequently, one cannot simply assume that cortical activity levels are completely “normal” when patients are ON medication. Our findings suggest that current medications may not be very effective at ameliorating delayed semantic processing in PD. Further investigation will hopefully shed more light on this topic.
We investigated the ability of PD patients to make subtle semantic similarity judgments about action and non-action verbs. Our results indicate that such judgments are, for the most part, accurate but slow for both types of verbs, regardless of whether the patients are ON or OFF medication. We have interpreted these findings largely in the context of one of the most controversial theories of knowledge representation, namely the Embodied Cognition Framework, which maintains that concepts are grounded in modality-specific input/output systems, such that many forms of semantic processing involve transient re-enactments or simulations of sensory, motor, and affective states. After considering the relevant issues from several perspectives, we have concluded that, at this stage of inquiry, it is very difficult to draw any definitive implications of our findings for the Embodied Cognition Framework because, first, it is not clear to what extent frontally mediated motor simulations are disrupted in PD, and second, there are currently at least two alternative versions of the theory—strong and weak—which differ as to whether motor simulations play an essential or merely augmentative role in action verb comprehension. Nevertheless, it remains the case that the empirical results of our study are novel and valuable, since they contribute substantially to the literature on how language is and is not affected by PD.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
We thank Drs. Joanne Wojcieszek and Margaret Laycock for providing the patients' Hoehn and Yahr scores, and we thank the patients themselves for participating in this project. We also thank Rutvik Desai, Murray Grossman, Natalya Kaganovich, Larry Taylor, Rolf Zwaan, and Greig de Zubicaray for commenting on a previous version of the paper.
- ^This could reflect the greater importance of auditory and emotional features, relative to motor features, in the meanings of Speaking verbs.
- ^As indicated by Kemmerer et al. (2008), some of the Change of State verbs in the SSJT encode internally caused object transformations (e.g., rust), which clearly have nothing to do with bodily actions. Most of the Change of State verbs in the SSJT, however, encode externally caused object transformations (e.g., shatter), and they can optionally specify agentive object-directed movement (e.g., The glass shattered alternates with Bill shattered the glass; see Levin, 1993, pp. 5–11, 240–248). Nevertheless, even when externally caused Change of State verbs are used transitively, they rarely refer to particular kinds of body-part-specific actions. For all of these reasons, the meanings of Change of State verbs in general are not expected to depend on somatotopically mapped primary motor and/or premotor cortices, unlike verbs of Running, Hitting, Cutting, and Speaking.
- ^One of the reviewers noted that some advocates of the Embodied Cognition Framework maintain that not only concrete concepts but also abstract concepts depend to some extent on the sensorimotor system (e.g., Barsalou and Wiemer-Hastings, 2005; Pecher et al., 2011; Scorolli et al., 2011; Wilson-Mendenhall et al., 2011). This point is well-taken. However, regarding the current study, as indicated above, we already have fMRI data showing that when normal subjects make semantic similarity judgments involving the specific Change of State verbs that we used in our task, somatotopically mapped motor areas are not significantly engaged (Kemmerer et al., 2008). In addition, other fMRI work has shown that the comprehension of sentences encoding mental states/processes does not significantly activate somatotopically mapped motor areas (Tettamanti et al., 2005). Partly for this reason, we would not expect the Psych verbs in our study to rely upon those areas. It is also noteworthy that, like the Change of State verbs, none of the Psych verbs refer to body-part-specific actions.
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The matrix below shows the stimuli for the Semantic Similarity Judgment Task (SSJT), organized according to the design of the 6 blocks of verb trials in each of the 4 runs of the experiment. The names of the verb classes are provided only for explanatory purposes; they were not included in the experimental paradigm itself, and the subjects were unable to predict which verb class would be represented in each consecutive block. The block and trial sequences are, however, exactly as they were in the actual experiment. For each trial, the pivot verb that appeared at the top of the triangular array is listed first; that verb is followed by the one that appeared below and to the left of the pivot; and that verb in turn is followed by the one that appeared below and to the right of the pivot. For further details see the Appendix of Kemmerer et al. (2008).
Keywords: verbs, action, Parkinson disease, mirror neuron system, embodied cognition, mental simulation
Citation: Kemmerer D, Miller L, MacPherson MK, Huber J and Tranel D (2013) An investigation of semantic similarity judgments about action and non-action verbs in Parkinson's disease: implications for the Embodied Cognition Framework. Front. Hum. Neurosci. 7:146. doi: 10.3389/fnhum.2013.00146
Received: 23 November 2012; Accepted: 03 April 2013;
Published online: 18 April 2013.
Edited by:Barbara Tomasino, IRCCS E.Medea, Italy
Reviewed by:Anna M. Borghi, University of Bologna, Italy
Analia Arevalo, East Bay Institute for Research and Education, USA
Copyright © 2013 Kemmerer, Miller, MacPherson, Huber and Tranel. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
*Correspondence: David Kemmerer, Department of Speech, Language, and Hearing Sciences, Purdue University, 500 Oval Drive, West Lafayette, IN 47907-2038, USA. e-mail: email@example.com