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. Author manuscript; available in PMC: 2017 Apr 1.
Published in final edited form as: Neuropsychologia. 2016 Mar 2;84:244–251. doi: 10.1016/j.neuropsychologia.2016.02.025

Cognitive and anatomic double dissociation in the representation of concrete and abstract words in semantic variant and behavioral variant frontotemporal degeneration

Katheryn AQ Cousins 1, Collin York 1, Laura Bauer 1, Murray Grossman 1
PMCID: PMC4808428  NIHMSID: NIHMS767955  PMID: 26944874

Abstract

We examine the anatomic basis for abstract and concrete lexical representations in semantic memory by assessing patients with focal neurodegenerative disease. Prior evidence from healthy adult studies suggests that there may be an anatomical dissociation between abstract and concrete representations: abstract words more strongly activate the left inferior frontal gyrus relative to concrete words, while concrete words more strongly activate left anterior-inferior temporal regions. However, this double dissociation has not been directly examined. We test this dissociation in two patient groups with focal cortical atrophy in each of these regions, the behavioral variant of Frontotemporal Degeneration (bvFTD) and the semantic variant of Primary Progressive Aphasia (svPPA). We administered an associativity judgment task for abstract and concrete words, where subjects select which of two words is best associated with a given target word. Both bvFTD and svPPA patients were significantly impaired in their overall performance compared to controls. While controls treated concrete and abstract words equally, we found a category-specific double dissociation in patients’ judgments: bvFTD patients showed a concreteness effect (CE), with significantly worse performance for abstract compared to concrete words, while svPPA patients showed reversal of the CE, with significantly worse performance for concrete over abstract words. Regression analyses also revealed an anatomic double dissociation: The CE is associated with inferior frontal atrophy in bvFTD, while reversal of the CE is associated with left anterior-inferior temporal atrophy in svPPA. These results support a cognitive and anatomic model of semantic memory organization where abstract and concrete representations are supported by dissociable neuroanatomic substrates.

Keywords: semantic memory, abstract, concrete, svPPA, bvFTD

1. Introduction

Central to the question of how semantic concepts are organized in the brain is the debate of whether abstract and concrete word categories have distinct representations. While concrete words have referents with sensory-motor features, abstract words refer to concepts that primarily exist within the mind and via language (Hale, 1986). However, it is uncertain if this concrete-abstract distinction has a basis in the neuroanatomic representation of these categories.

Two historically dominant theories of concrete and abstract word representation are the dual-coding theory and the context availability hypothesis. The dual-coding theory proposes that, while both abstract and concrete words have linguistically-based representations, only concrete words have additional visually-based representations that draw from their physical referents (Paivio, 1989 & 1991). Indeed, concrete words tend to have more predicate features associated with them than abstract words, and these features facilitate word knowledge and recognition (Recchia & Jones, 2012; Hill, Korhonen, & Bentz, 2014). The richness of concrete feature representations offers an explanation for the concreteness effect (CE) - the tendency for individuals to be more accurate and faster when identifying concrete words compared to abstract words. The dual-coding view is closely aligned with more current theories of semantic memory related to grounded cognition. These theories propose that sensory-motor features in part underlie conceptual knowledge, and that neural systems associated with sensory-motor processing help support lexical processing (Barsalou, 2008; Binder & Desai, 2011). Thus, the representations of both abstract and concrete concepts are hypothesized to be supported by language regions in the perisylvian areas of the left hemisphere. However, only concrete word processing receives additional support from the inferior temporal cortex and surrounding regions associated with high level visual processing and the representation of visual-perceptual and object feature knowledge (Chao, Haxby, & Martin, 1999; Martin et al., 1995; Martin, 2007; Miyashita, 1993). In support of these perspectives, evidence from functional imaging studies show that recognition of concrete words activates extensive areas associated with visual feature and object processing, including the inferior temporal cortices, and the fusiform and parahippocampal gyri (Mellet, Tzourio, & Mazoyer, 1998; Sabsevitz et al., 2005; Wang et al., 2010).

An alternative view is the context availability hypothesis, which posits that word knowledge and recognition depend in part on the associated context (Schwanenflugel, Harnishfeger, & Stowe, 1988). Because concrete referents have physical or temporal existence, these words appear in a more consistent and relatively narrow set of contexts. In comparison, abstract words tend to be more semantically diverse than concrete words, appearing in a larger variety of contexts, and with more variations in their meaning. For example, the general meaning of the word “honor” is high respect or reputation, but the specific meaning can change depending on context: “honor” can refer to a privilege, as in “it is my honor”; an achievement, as in “graduated with honors”; or a title, as in “your Honor, I object”. The need to select from different possible interpretations may explain why abstract words can take longer to identify than concrete words, especially when context is minimal. Moreover, relevant context has been shown to facilitate the recognition of abstract words, so that they are processed as quickly as concrete words (Schwanenflugel & Shoben, 1983; van Hell & de Groot, 1998). Similarly, abstract word comprehension, more than concrete, is supported by accessing closely semantically associated words (Crutch & Warrington, 2005; Crutch, Connell & Warrington, 2009). Because of this reliance on context, abstract words may partially depend on executive functioning and semantic control to regulate meaning selection. In support of this view, imaging studies in healthy adults demonstrate that the processing of abstract words activates the inferior frontal gyrus (Hoffman, Jefferies & Ralph, 2010; Wang et al., 2010), an area thought to be involved in semantic control (Moss et al., 2005; Thompson-Schill et al., 1997) and in the integration of contextual information (Hoffman, Binney & Ralph, 2015).

Here we investigate the cognitive and anatomical representation of abstract and concrete words, and evaluate our results in the context of grounded cognition and context availability theories. To assess semantic memory, subjects participated in a two-alternative forced-choice task, where they were asked to select which of two nouns best associates with a target noun; half of trials were composed of abstract nouns, and half were concrete. We examine semantic processing in two patient groups with atrophy to regions implicated in object feature processing and in semantic control: patients with semantic variant primary progressive aphasia (svPPA) and with behavioral variant frontotemporal degeneration (bvFTD), respectively. We test concrete word knowledge in svPPA, a form of primary progressive aphasia characterized by impaired confrontation naming and poor word comprehension (Hodges & Patterson, 2007; Mesulam, 2003). This patient group presents with profound atrophy to the anterior inferior temporal cortex (Amici et al., 2007; Grossman et al., 2004; Libon et al, 2013; Mion et al., 2010; Rogalski et al., 2011). Poor concrete knowledge in svPPA has been previously observed, with several studies showing a reversal of the CE - selectively worse concrete word knowledge and recognition, compared to abstract (Warrington, 1975; Breedin, Saffran & Coslett, 1994; Bonner et al., 2009; Bonner et al., 2015; Macoir, 2009). While this is not seen in all studies (Jefferies et al., 2009; Hoffman, Jones, & Ralph, 2013), differences in impairment are possibly due to variability in the location and progression of atrophy in svPPA (Bright et al., 2008; Hoffman, Jones & Ralph, 2012). We directly assess the relationship between relative difficulty with concrete word knowledge and atrophy to the inferior temporal gyrus in svPPA. We also compare svPPA performance to that of bvFTD patients, a social disorder typified by social disinhibition, apathy, and personality changes. Importantly, these patients present with impaired executive functioning along with frontal lobe atrophy (Rascovsky et al., 2011). While bvFTD is not typically associated with impaired semantic knowledge, this may be due in part to the design of standard semantic memory assessments, whose stimuli largely consist of concrete words (e.g. Boston Naming Test, Kaplan, Goodglass & Weintraub, 2001; and Pyramids and Palm Trees Test, Howard & Patterson, 1992). If executive functioning and semantic control processes are important for abstract meaning selection, we expect impaired processing for abstract words to be found in bvFTD, and we expect this to relate to atrophy of the inferior frontal gyrus in these patients.

2. Materials and Methods

2.1 Subjects

Participants were 12 right-handed, English speakers that were diagnosed with svPPA and 18 patients diagnosed with bvFTD, based on the consensus diagnostic criteria outlined by Gorno-Tempini and colleagues (2011) and Rascovsky and colleagues (2011), respectively. We compared the performance of these patients with 18 healthy older adult controls. Of the 12 svPPA patients, 10 also had co-occurring mild behavioral symptoms. Co-occurrence of behavioral symptoms with svPPA is typical, and is representative of the svPPA spectrum. None of the 18 bvFTD patients were mixed cases. Demographic features of all three groups are outlined in Table 1. These data show that all groups are matched for age and education, and that svPPA and bvFTD patients do not significantly differ in disease duration.

Table 1.

Demographic Data

svPPA bvFTD Controls ANOVA
Mean SD Mean SD Mean SD F p
Age
(years)
62.9 9.24 63.9 7.38 68.6 9.38 n.s.
Education (years) 15.3 2.34 16.3 2.79 15.6 3.01 n.s.
Disease Duration
(months)
52.9 30.69 59.2 38.87 - - n.s.

Table 2 summarizes performance on standard language and neuropsychological measures for both patient groups, including the mini-mental state exam (MMSE), FAS version of the Controlled Oral Word Association Test (FAS), Pyramids and Palm Trees (PPT; using both picture and word stimuli), Boston Naming Test (BNT), Digit Symbol Substitution, Visual-Verbal Test, and Neuropsychiatric Inventory (NPI). An abbreviated version of these tests was administered, and total scores are listed in Table 2, shown in parenthesis by the test name. Compared to healthy older adults, bvFTD patients were significantly impaired on all measures while svPPA patients were significantly impaired on all measures except for Digit Symbol, Visual-Verbal, and NPI. Direct comparisons of svPPA and bvFTD patients demonstrated different patterns of impairment: Although patient groups revealed no significant difference on their MMSE scores, svPPA patients showed significantly greater impairment than bvFTD patients for measures involving lexical knowledge, including PPT and BNT. In contrast, bvFTD patients were significantly more impaired than svPPA patients for executive functioning and flexibility measures, including Digit Symbol and Visual-Verbal tasks, and for the NPI behavioral scale.

Table 2.

Language and Neuropsychological Data for Patient Groups

svPPA bvFTD t-test
Task (total possible) Mean SD Mean SD t p
MMSE (30) 20.67 6.95 23.63 5.71 n.s.
Digits Backward (8) 4.00 1.00 3.86 2.12 n.s.
FAS (86) 17.70 9.92 19.38 13.53 n.s.
PPT Picture (26) 18.11 4.23 22.67 4.03 2.51 0.021
PPT Word (26) 16.88 3.98 22.08 3.42 3.13 0.006
Boston Naming (30) 5.22 4.24 25.43 3.13 13.17 0.000
Digit Symbol (93) 43.80 15.19 26.54 10.24 3.26 0.004
Visual-Verbal (20) 18.60 1.17 15.44 4.10 2.90 0.009
NPI (70) 17.43 12.58 33.30 18.90 2.16 0.044

2.2 Associativity judgment task

To evaluate processing of abstract nouns compared to concrete nouns, subjects participated in a two-alternative, forced-choice associativity judgment task. Subjects were presented with a target word on the top half of a computer screen, and were asked to select which of the two words on the bottom half of the screen is best associated with the target word. The two choices were between a high-associativity word and a foil-word, and the positions of the two word choices were counter-balanced so that the correct choice for each category was equally distributed on the left and the right. Of the 60 probed triads, half were concrete and half were abstract. Participants could take as much time as needed to make their selection. Based on ratings obtained from the MRC database, we matched stimulus materials across both abstract and concrete conditions for frequency and familiarity (all p-values > 0.1), and for numbers of sight vocabulary words. We also assessed each triad for concreteness and semantic diversity based on ratings presented in Brysbaert, Warriner and Kuperman (2014) and Hoffman, Ralph & Rogers (2013), to ensure that the concrete stimuli used were more concrete (F(1,58)=197.3, p<0.001) and less semantically ambiguous (F(1,58)=15.72, p<0.001) than the abstract stimuli.

2.3 Imaging methods and procedures

Subsets of svPPA (n=9) and bvFTD patients (n=14) agreed to participate in the imaging component of this study. These patient subsets were not significantly different from the rest of the patient groups on performance for the associativity task or the neuropsychological measures (all p-values > 0.1). Participants underwent T1 magnetic resonance imaging (MRI) to examine grey matter atrophy. A T1-weighted three-dimensional spoiled gradient-echo sequence was acquired on one of two Siemens 3.0T Trio scanners using an eight-channel head coil with TR=1620ms, TE=3ms, flip angle=15°, matrix=192 × 256, slice thickness=1 mm, and in-plane resolution=0.9 × 0.9 mm. A covariate was included in the imaging analysis to remove any potential scanner effect on the analysis. Imaging was acquired within an average of 114 days of the associativity judgment task. Imaging was also collected on an independent group of 34 healthy seniors, who were age and education matched to both patient groups.

Images were normalized to a standard space and segmented using the PipeDream interface (http://sourceforge.net/projects/neuropipedream/) to the ANTs toolkit (http://www.picsl.upenn.edu/ANTS/). Grey matter probability (GMP) images were calculated and were transformed into Montreal Neurological Institute (MNI) space and down-sampled to 2mm3 resolution. Images were smoothed using a 2-mm full-width half-maximum (FWHM) Gaussian kernel to minimize individual gyral variations. GMP for both svPPA and bvFTD patient groups was determined relative to controls in SPM8 (http://www.fil.ion.ucl.ac.uk/spm/software/spm8) using a whole-brain voxel-wise analysis with a threshold of p<0.001 (controlled for multiple comparisons with false discovery rate), and a minimum cluster size of 100 voxels. The multiple regressions module in SPM8 related grey matter atrophy for each patient group to task accuracy, and the difference between task performance for concrete words and for abstract words, constrained to regions of grey matter atrophy. Regression analyses were accepted as significant using a height threshold of p<0.05 (uncorrected) and a minimum cluster size of 50 voxels.

3. Results

3.1 Cognitive Results

3.1.1 Overall Accuracy for Associativity Task

Mean overall performance in the associativity task is shown in Figure 1. A univariate ANOVA revealed a significant effect of patient group (svPPA, bvFTD, Control) on accuracy (F(2,45)=17.83, p<0.001). Compared to healthy controls, accuracy was significantly impaired for both svPPA (F(28)=56.27, p<0.001) and bvFTD (F(34)=22.40, p<0.001). Overall accuracy was not significantly different between svPPA and bvFTD patients.

Figure 1.

Figure 1

Associativity Task Accuracy. The proportion of correct associations made for each word triad. Error bars represent standard error of the mean. Total accuracy for each group: svPPA (grey), bvFTD (white), and control (black).

3.1.2 Concrete vs. Abstract Accuracy

An ANOVA with a 2 (Condition: Abstract, Concrete) × 3 (Group: svPPA, bvFTD, Control) repeated-measures design showed that, while there was no main effect of condition (p=0.465), there was a significant Condition X Group interaction (F(2,45)=7.25, p=0.002). For bvFTD patients, performance was significantly worse for abstract words compared to concrete words (t(17)=2.35, p=0.031). This CE was reversed for svPPA patients, whose accuracy was significantly worse for concrete words compared to abstract words (t(11)=2.37, p=0.037). There was no significant difference between concrete and abstract words for Controls.

To measure the magnitude of the CE for each group, accuracy for abstract words was subtracted from the accuracy for concrete words, and then divided by total accuracy (Figure 2). A univariate ANOVA revealed a significant effect of patient group on the adjusted difference score (F(2,45)=6.64, p=0.003). svPPA patients had a significantly greater reversal of the CE than bvFTD patients (F(28)=8.98, p=0.006) and Controls (F(28)=5.29, p=0.029). By comparison, bvFTD patients showed a greater CE than Controls (F(34)=4.46, p=0.042).

Figure 2.

Figure 2

Magnitude of the Concreteness Effect (CE). The normed accuracy for concrete words minus abstract words, or the magnitude of CE. Negative values indicate a reversal of the CE. svPPA patients are plotted in grey, bvFTD in white, and control in black. Error bars represent standard error of the mean.

3.2 Imaging Results

We examined regions of significant atrophy in grey matter for patients with svPPA (Figure 3, Panel A) and bvFTD (Figure 3, Panel B) compared to controls. Patients with svPPA showed significant atrophy in the temporal lobes, and this atrophy was more evident in the left hemisphere. There was modest extension of atrophy into the insula and orbital frontal cortex. Patients with bvFTD demonstrated significant atrophy compared to controls, primarily in the frontal lobe regions. There was modest temporal lobe atrophy in bvFTD, more evident in the right hemisphere.

Figure 3.

Figure 3

Regions of significantly reduced grey matter and regression with behavioral performance. Panel A: in svPPA. Blue and yellow regions indicate areas of grey matter atrophy in svPPA compared with control patients. Yellow only regions indicate areas in svPPA patients where more severe atrophy is significantly associated with worse task performance. Panel B: in bvFTD. Blue and yellow regions indicate areas of grey matter atrophy in bvFTD compared with control patients. Yellow only areas indicates regions in bvFTD patients where more severe atrophy is significantly associated with worse task performance.

To determine how atrophy in both patient groups affected semantic knowledge, we performed regression analyses relating overall task performance to grey matter probability. For svPPA patients, task performance was related to atrophy in the left inferior and superior temporal lobe (Table 3). For bvFTD patients, task performance related to broad bilateral atrophy of the lateral and medial frontal lobe (Table 4).

Table 3.

Regressions of task performance with grey matter atrophy in svPPA

MNI Coordinates
svPPA BA x y z Z score Cluster size
(voxels)
Grey Matter Atrophy, svPPA<Control
 Left Parahippocampal Gyrus 36 −28 −6 −36 Inf 5196
 Right Inferior Temporal Gyrus 20 42 −10 −38 7.27 2387
 Right Orbitalfrontal Gyrus 11 12 18 −16 5.19 185
Regression of Task Accuracy with Grey Matter Atrophy
 Left Superior Temporal Gyrus 38 −46 10 −26 3.62 390
 Left Inferior Temporal Gyrus 20 −46 0 −40 3.60 563
 Left Inferior Temporal Gyrus 20 −40 −24 −26 3.28 98
Regression of the Reversal of Concreteness Effect with Grey Matter Atrophy
 Left Inferior Temporal Gyrus 20 −42 2 −40 3.23 118
 Left Middle Temporal Gyrus 21 −66 −8 −18 3.14 135
 Left Superior Temporal Gyrus 22 −46 −12 −2 3.89 164

Table 4.

Regressions of task performance with grey matter atrophy in bvFTD

MNI Coordinates
bvFTD BA x y z Z score Cluster size
(voxels)
Grey Matter Atrophy, bvFTD<Control
 Left Anterior Prefrontal Cortex 10 −10 46 −6 6.76 15165
 Left Middle Temporal Gyrus 21 −64 −10 −14 4.68 129
 Left Inferior Temporal Gyrus 20 −52 0 −36 5.82 387
 Right Inferior Temporal Gyrus 20 42 −12 −28 5.24 108
Regression of Task Accuracy with Grey Matter Atrophy
 Left Anterior Prefrontal Cortex 10 −8 56 2 3.15 75
 Left Middle Frontal Gyrus 11 −30 48 −12 3.27 117
 Left Superior Frontal Gyrus 9 −20 40 40 3.37 88
 Left Subcallosal Gyrus 25 −4 12 −16 3.52 381
 Right Middle Frontal Gyrus 10 26 58 14 3.43 68
 Right Caudate 48 12 2 18 3.30 314
 Right Middle Frontal Gyrus 11 28 54 −14 3.21 205
Regression of the Concreteness Effect with Grey Matter Atrophy
 Left Inferior Frontal Gyrus 47 −30 46 −14 3.23 193
 Right Insula 13 40 10 −8 3.16 408

To identify the anatomical regions supporting abstract and concrete word representations, we examined regression analyses relating atrophy to the adjusted difference score between abstract and concrete accuracy in svPPA and bvFTD. We related atrophy to the difference score to remove the effects of shared properties between concrete and abstract word processing, such as retrieval or phonetic decoding. Figure 4 depicts how the CE in bvFTD patients and the reversal of the CE in svPPA relate to the regions of atrophy for these patient groups. For svPPA patients, reversal of the CE was associated with atrophy of the left inferior, middle, and superior temporal lobe (see Table 3). For bvFTD patients, the CE was associated with bilateral atrophy of the inferior frontal gyrus and the insula (see Table 4). There was no significant association between atrophy and the CE in svPPA, nor the reversal of CE and bvFTD.

Figure 4.

Figure 4

Regression of Grey Matter Probability with Reversal of the CE for svPPA and CE bvFTD. Red indicates areas of atrophy that significantly correlate with the Reversal of Concreteness Effect - better knowledge for abstract words - in svPPA patients. Green indicates areas of atrophy that significantly correlate with the Concreteness Effect - better knowledge for concrete words - in bvFTD patients.

4. Discussion

This study revealed an anatomical double disassociation between abstract and concrete word representations by examining single word semantic deficits in svPPA and bvFTD. While controls showed equally accurate performance for concrete and abstract words, bvFTD patients demonstrated significantly worse performance for abstract words, and svPPA patients were significantly worse for concrete than abstract words, showing a reversal of the CE. We related this dissociation in performance to regions of grey matter atrophy in these patients. In svPPA, the reversal of the CE was related to atrophy in an area of high-level visual processing, the left anterior-inferior temporal cortex. In bvFTD the CE was related to bilateral inferior frontal atrophy, a region important for semantic control. Thus, we observe a cognitive and anatomic double dissociation for concrete and abstract word categories. We discuss cognitive performance and the anatomic associations in each group below, and relate these observations to theories of semantic memory.

4.1 svPPA

Also known as semantic dementia (Hodges et al., 1992), svPPA is associated with impaired confrontation naming and poor word comprehension (Hodges & Patterson, 2007; Mesulam, 2003). While svPPA is often characterized by a global impairment in semantic memory (Patterson et al., 2007), several studies have described individual cases (Breedin, Saffran & Coslett, 1994; Macoir, 2009) and groups of patients (Reilly, Grossman, & McCawley, 2006; Yi, Moore, & Grossman, 2007; Bonner et al., 2009; Bonner et al., 2015) with worse performance on concrete words relative to abstract words. This reversal of the CE is an extension of Warrington’s (1975) initial observations of semantic dementia. Although this is not seen by all investigators (Jefferies et al., 2009; Hoffman, Jones, & Ralph, 2013), such discrepancies may be due to differences in the svPPA populations that are sampled, specifically due to variance in the course, extent, and stage of disease (Bright et al., 2008; Rohrer et al., 2008). One possibility is that semantic impairment in svPPA is initially amodal, but as disease spreads posteriorly through the ventrolateral temporal lobe, words with rich visual features are progressively more impaired (Hoffman, Jones & Ralph, 2012). Alternatively, early atrophy of the visual association cortex in the inferior temporal lobe may lead to an initial impairment for concrete words with rich visual features in svPPA, but disease progression toward more superior and posterior regions in the temporal lobe (Brambati et al., 2009) can result in lexical deficits for other sensory modalities. Likewise, disease progression in svPPA may compromise connectivity with other brain regions important for semantic memory, leading to a multimodal semantic memory deficit (Agosta et al., 2010; Bonner & Price, 2013). Such an account is compatible with the results we report here, though further longitudinal work is needed to chart disease location and progression of atrophy to concrete word knowledge. Nonetheless, evidence suggests that the extent of disease to the inferior lateral temporal gyrus likely determines the severity of concrete word impairment in svPPA. This is supported by functional imaging studies in controls, which indicate that concrete word knowledge depends on visual and object features, related to visual association regions in the inferior temporal gyrus, fusiform gyrus, and supporting areas (Binder et al., 2005; Mellet et al., 1998; Wang et al., 2010; Bonner et al., 2015).

Our findings in svPPA further implicate visual association cortices in concrete word processing. We observed that svPPA patients are more impaired for concrete words than abstract words, and that reversal of the CE is associated with grey matter atrophy in the left temporal cortices, including the inferior temporal and ventral temporal gyri. While svPPA patients can present with surface dyslexia, the stimuli were composed of an equal number of sight vocabulary words for concrete and abstract conditions, and this would not account for the difference in performance. These results support the hypothesis that visual features are especially important for the representation of concrete words. Still, many concrete concepts are multi-modal, with salient auditory, tactile, or motor features. It is beyond the scope of the present study to assess to what extent other sensory regions are also involved in concrete word representations, and additional work is needed to probe the multi-modal feature knowledge of concrete object concepts. For example, auditory feature knowledge associated with concrete words may be represented in part in auditory association cortex (Pandya & Yeterian, 1985), and disease in posterior-superior temporal regions may be associated with deficits for words that are relatively dependent on auditory feature knowledge (Bonner et al, 2012). In our study, this region exhibited a relatively modest extent of atrophy in svPPA, and regression analysis implicated a small area of the anterior-superior temporal lobe.

4.2 bvFTD

Unlike svPPA, bvFTD patients demonstrated a significant CE, showing more difficulty with abstract than concrete lexical concepts. Patients with bvFTD are typically characterized by atrophy involving medial, dorsolateral, inferior and orbital regions of the frontal lobe. bvFTD typically presents as a disorder of social comportment and personality, with associated disinhibition, ritualistic behavior, apathy, poor insight, impoverished empathy, and limited executive functioning (Rascovsky et al, 2011). Though bvFTD is not typically characterized as a language disorder, several studies have observed deficits in discourse (Ash et al., 2006), sentence (Ash et al., 2006; Charles et al., 2014; Williams et al., 2015) and lexical processing (Libon et al., 2009).

We found that bvFTD patients are impaired overall on the lexical associativity judgement task compared to controls. and that this deficit is significantly worse for abstract than concrete items. Poor executive functioning in bvFTD can compromise working memory, processing speed, and mental flexibility of these patients. However, these effects on performance for our task should be minimal, since the stimuli remained available during the entire period of judging a stimulus triad, performance was untimed, we did not observe perseveration during task performance, and patients exhibited only mild dementia, with an average MMSE of 23.6. Moreover, it is unlikely that these factors could explain the category-specific deficit for abstract stimuli we observe, since an identical procedure was used for the concrete stimuli.

We are not aware of previous studies examining abstract word processing in bvFTD, and we argue that the lexical semantic deficit in bvFTD observed in this study is due in large part to their relative difficulty with abstract words. Traditional measures of lexical semantic knowledge like visual confrontation naming (e.g. Boston Naming test) and semantic associativity judgments (e.g. Pyramid and Palm Trees test) use concrete stimuli, and bvFTD patients typically demonstrate relatively preserved performance on these measures. Accordingly, we observed more accurate performance on these traditional measures in bvFTD than svPPA. In the present study, we found instead that bvFTD patients are relatively impaired for abstract words compared to concrete words. Moreover, regression analyses related poor abstract word knowledge in bvFTD to atrophy in the inferior frontal gyrus and insula bilaterally. These findings are in agreement with fMRI studies of healthy controls that show recruitment of inferior frontal cortex in response to abstract words (Hoffman, Jefferies & Ralph, 2010; Wang et al., 2010). The inferior frontal gyrus has been shown to be important for tasks requiring semantic control and selection (Moss et al., 2005; Thompson-Schill et al., 1997), and this may be critical for words that have multiple, subtly nuanced meanings, like abstract words (Schwanenflugel, Harnishfeger, & Stowe, 1988).

bvFTD patients’ atrophy extended somewhat into the superior temporal lobe, and we cannot rule out that subtle modality-specific associations of concrete words are compromised in bvFTD. However, regression analyses did not demonstrate a significant association between superior temporal atrophy and overall performance on this associativity judgment measure, nor did we find a significant association between atrophy and worse performance for concrete words (reversal of the CE). Instead, we found that a relative deficit for abstract words compared to concrete words is associated with bilateral inferior frontal disease in these patients.

4.3 Theories of semantic memory

While both grounded cognition and context availability hypotheses offer theoretical insights into our behavioral and anatomical results, neither theory alone can fully explain our observations. Theories like grounded cognition and dual-coding propose that lexical semantic processing is facilitated by the sensory and motor features associated with that word, and that concrete words have more visual predicate-features which support their processing. Our results in svPPA show that relatively decreased knowledge for concrete words, compared to abstract, relates to reduced grey matter of the anterior-inferior temporal lobe, as well as the middle and superior temporal lobe. Compared to abstract words, concrete words are thought to be more dependent on visual object feature knowledge, and prior research has related the anterior-inferior temporal gyrus to the representation of object and feature knowledge (Bonner & Price, 2013; Patterson, Nestor, & Rogers, 2007). However, other evidence suggests that the left anterior temporal lobe is more specifically related to linguistic processes, such as lexical retrieval and word comprehension, rather than semantic processes, which encompass both verbal and non-verbal representations of objects (Mesulam et al., 2013). If the left anterior temporal lobe were dedicated to linguistic representations, we would have expected that abstract concepts - which are theorized to be primarily linguistic in nature - would be supported by this region, more so than concrete words. We should therefore have seen a concreteness effect related to this region. Instead, we see the reverse pattern, with atrophy of the anterior temporal lobe in svPPA patients associated with poor concrete word comprehension, and a reversal of the concreteness effect. These results suggest that concrete concepts may depend in part on multimodal sensory-motor features, including the role of the inferior temporal gyrus related to visual feature knowledge and the superior temporal gyrus in auditory feature knowledge.

However, in addition to poor performance for concrete words in svPPA, we also observed a deficit for abstract word processing in bvFTD related to atrophy in regions associated with executive processing and semantic control. The dual-coding theory asserts that abstract concepts are limited to verbal, linguistic-based representations alone (Paivio, 1991). This theory would implicate the mental lexicon in the left hemisphere in abstract word processing, particularly per-Sylvian regions that include left posterior superior temporal cortex, but this area that was not implicated in our analyses. Thus, our findings - poor abstract word processing in bvFTD relating to reduced grey matter in bilateral frontal regions - contradict the assumptions of the dual-coding theory. From the perspective of grounded cognition, representations of abstract words are thought to depend on oblique sensory-motor associations (e.g. “justice” is loosely associated with a courtroom and a judge’s robes). However, grounded cognition predicts no specific role for the frontal lobe or executive processing in abstract word comprehension, and therefore does not offer an explanation of our results in bvFTD.

We hypothesize that our observations in bvFTD are best interpreted from the perspective of the context availability hypothesis. This theory proposes that the comprehension of abstract words is more dependent on constraining context, compared to concrete words. This is because abstract words have extensive variations in meaning and are encountered in more varied contexts. Abstract words are therefore hypothesized to require executive control processes to correctly select word meaning. This serves to incorporate surrounding context or to inhibit irrelevant, alternative meanings. The inferior frontal gyrus is associated with this function (Thompson-Schill et al, 1997), and accordingly, our results suggest that impaired abstract word processing in bvFTD is related to grey matter atrophy in the inferior frontal gyrus. The role of the insula is unclear. This region may be related to an emotional component of abstract lexical representations, to be examined in future work. Nevertheless, context availability theory alone cannot easily explain the deficit for concrete words in svPPA. Together, our results in svPPA and bvFTD appear to be consistent with a combination of grounded cognition and context-availability theories.

Several caveats should be kept in mind when considering our findings. First, although focal neurodegenerative conditions affecting these brain regions are uncommon, we studied a relatively small number of patients with an average interval of 3.7 months between administration of the associativity task and imaging. Further, participants in this study were relatively mild in disease severity, and additional work is needed with more impaired patients who have more extensive disease. Second, tasks other than associativity judgment may be informative, such as investigating context availability directly by manipulating the contextual constraint of abstract words, or by studying grounded cognition with words dependent on auditory feature knowledge in these patients. Our stimuli were neither purely concrete-visual nor purely abstract, and we did not investigate subtler, secondary features that may be associated with words. We also limited our investigation to nouns to eliminate the potential confounds of grammatical class, and there should be further investigation of how word class interacts with concreteness. Finally, our focus has been on the dissociable anatomical representations of concrete and abstract concepts. However, our exploration of the regions involved in abstract and concrete lexical processing is not exhaustive. The fact that both patient groups show some impairment in their stronger modality - abstract for svPPA and concrete for bvFTD - indicates that other semantic processing systems are involved. With these caveats in mind, our findings of cognitive and anatomic double dissociations are consistent with a model of lexical semantic representation that distinguishes in part between concrete words involving sensory-motor representations and abstract words involving semantic control, and associates these representations with partially distinct brain regions – visual association cortex in the left anterior-inferior temporal lobe and inferior frontal cortex, respectively.

Highlights.

  • The anatomical representations of abstract and concrete concepts are investigated.

  • Tested two patient groups, svPPA and bvFTD, with atrophy to theoretically critical neural regions.

  • A two-alternative forced choice task was administered, using concrete and abstract noun stimuli.

  • svPPA patients had worse concrete word knowledge, related to the left inferior temporal gyrus.

  • bvFTD patients had worse abstract word processing, related to the inferior frontal gyrus

Acknowledgments

This work was supported in part by NIH (AG017586, NS044266, AG038490, AG053488), the Wyncote Foundation and the Arking Family Foundation

Footnotes

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The authors have no conflicts of interest to report.

References

  • 1.Agosta F, Henry RG, Migliaccio R, Neuhaus J, Miller BL, Dronkers NF, Gorno-Tempini ML. Language networks in semantic dementia. Brain. 2009:awp233. doi: 10.1093/brain/awp233. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Amici S, Ogar J, Brambati SM, Miller BL, Neuhaus J, Dronkers NL, Gorno-Tempini ML. Performance in specific language tasks correlates with regional volume changes in progressive aphasia. Cognitive and Behavioral Neurology. 2007;20(4):203–211. doi: 10.1097/WNN.0b013e31815e6265. [DOI] [PubMed] [Google Scholar]
  • 3.Ash S, Moore P, Antani S, McCawley G, Work M, Grossman M. Trying to tell a tale Discourse impairments in progressive aphasia and frontotemporal dementia. Neurology. 2006;66(9):1405–1413. doi: 10.1212/01.wnl.0000210435.72614.38. [DOI] [PubMed] [Google Scholar]
  • 4.Barsalou LW. Grounded cognition. Annual Review Psychology. 2008;59:617–645. doi: 10.1146/annurev.psych.59.103006.093639. [DOI] [PubMed] [Google Scholar]
  • 5.Binder JR, Desai RH. The neurobiology of semantic memory. Trends in Cognitive Sciences. 2011;15(11):527–536. doi: 10.1016/j.tics.2011.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Binder JR, Westbury CF, McKiernan K, Possing ET, Medler D. Distinct brain systems for processing concrete and abstract concepts. Journal of Cognitive Neuroscience. 2005;17(6):905–917. doi: 10.1162/0898929054021102. [DOI] [PubMed] [Google Scholar]
  • 7.Bonner MF, Vesely L, Price C, Anderson C, Richmond L, Farag C, Grossman M. Reversal of the concreteness effect in semantic dementia. Cognitive Neuropsychology. 2009;26(6):568–579. doi: 10.1080/02643290903512305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Bonner MF, Price AR. Where is the anterior temporal lobe and what does it do? The Journal of Neuroscience. 2013;33(10):4213–4215. doi: 10.1523/JNEUROSCI.0041-13.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Bonner MF, Price AR, Peelle JE, Grossman M. Semantics of the Visual Environment Encoded in Parahippocampal Cortex. Journal of cognitive neuroscience. 2015 doi: 10.1162/jocn_a_00908. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Brambati SM, Rankin KP, Narvid J, Seeley WW, Dean D, Gorno-Tempini ML. Atrophy progression in semantic dementia with asymmetric temporal involvement: a tensor-based morphometry study. Neurobiology of aging. 2009;30(1):103–111. doi: 10.1016/j.neurobiolaging.2007.05.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Breedin SD, Saffran EM, Coslett HB. Reversal of the concreteness effect in a patient with semantic dementia. Cognitive Neuropsychology. 1994;11(6):617–660. [Google Scholar]
  • 12.Bright P, Moss HE, Stamatakis EA, Tyler LK. Longitudinal studies of semantic dementia: the relationship between structural and functional changes over time. Neuropsychologia. 2008;46(8):2177–2188. doi: 10.1016/j.neuropsychologia.2008.02.019. [DOI] [PubMed] [Google Scholar]
  • 13.Brysbaert M, Warriner AB, Kuperman V. Concreteness ratings for 40 thousand generally known English word lemmas. Behavior Research Methods. 2014;46(3):904–911. doi: 10.3758/s13428-013-0403-5. [DOI] [PubMed] [Google Scholar]
  • 14.Chao LL, Haxby JV, Martin A. Attribute-based neural substrates in temporal cortex for perceiving and knowing about objects. Nature neuroscience. 1999;2(10):913–919. doi: 10.1038/13217. [DOI] [PubMed] [Google Scholar]
  • 15.Charles D, Olm C, Powers J, Ash S, Irwin DJ, McMillan CT, Grossman M. Grammatical comprehension deficits in non-fluent/agrammatic primary progressive aphasia. Journal of Neurology, Neurosurgery & Psychiatry. 2013 doi: 10.1136/jnnp-2013-305749. jnnp-2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Crutch SJ, Warrington EK. Abstract and concrete concepts have structurally different representational frameworks. Brain. 2005;128(3):615–627. doi: 10.1093/brain/awh349. [DOI] [PubMed] [Google Scholar]
  • 17.Crutch SJ, Connell S, Warrington EK. The different representational frameworks underpinning abstract and concrete knowledge: Evidence from odd-one-out judgements. The Quarterly Journal of Experimental Psychology. 2009;62(7):1377–1390. doi: 10.1080/17470210802483834. [DOI] [PubMed] [Google Scholar]
  • 18.Gorno-Tempini ML, Hillis AE, Weintraub S, Kertesz A, Mendez M, Cappa SF, Grossman M. Classification of primary progressive aphasia and its variants. Neurology. 2011;76(11):1006–1014. doi: 10.1212/WNL.0b013e31821103e6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Grossman M, McMillan C, Moore P, Ding L, Glosser G, Work M, Gee J. What’s in a name: voxel-based morphometric analyses of MRI and naming difficulty in Alzheimer’s disease, frontotemporal dementia and corticobasal degeneration. Brain. 2004;127(3):628–649. doi: 10.1093/brain/awh075. [DOI] [PubMed] [Google Scholar]
  • 20.Hale SC. Spacetime and the abstract/concrete distinction. Philosophical Studies. 1988;53(1):85–102. [Google Scholar]
  • 21.Hodges JR, Patterson K, Oxbury S, Funnell E. Semantic dementia. Brain. 1992;115(6):1783–1806. doi: 10.1093/brain/115.6.1783. [DOI] [PubMed] [Google Scholar]
  • 22.Hoffman P, Jefferies E, Ralph MAL. Ventrolateral prefrontal cortex plays an executive regulation role in comprehension of abstract words: convergent neuropsychological and repetitive TMS evidence. The Journal of Neuroscience. 2010;30(46):15450–15456. doi: 10.1523/JNEUROSCI.3783-10.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Hoffman P, Jones RW, Ralph MAL. The degraded concept representation system in semantic dementia: damage to pan-modal hub, then visual spoke. Brain. 2012;135(12):3770–3780. doi: 10.1093/brain/aws282. [DOI] [PubMed] [Google Scholar]
  • 24.Hoffman P, Jones RW, Ralph MAL. Be concrete to be comprehended: consistent imageability effects in semantic dementia for nouns, verbs, synonyms and associates. Cortex. 2013;49(5):1206–1218. doi: 10.1016/j.cortex.2012.05.007. [DOI] [PubMed] [Google Scholar]
  • 25.Hoffman P, Ralph MAL, Rogers TT. Semantic diversity: a measure of semantic ambiguity based on variability in the contextual usage of words. Behavior Research Methods. 2013;45(3):718–730. doi: 10.3758/s13428-012-0278-x. [DOI] [PubMed] [Google Scholar]
  • 26.Hoffman P, Binney RJ, Ralph MAL. Differing contributions of inferior prefrontal and anterior temporal cortex to concrete and abstract conceptual knowledge. Cortex. 2015;63:250–266. doi: 10.1016/j.cortex.2014.09.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Howard D, Patterson KE. The Pyramids and Palm Trees Test: A test of semantic access from words and pictures. Thames Valley Test Company; 1992. [Google Scholar]
  • 28.Jefferies E, Patterson K, Jones RW, Lambon Ralph MA. Comprehension of concrete and abstract words in semantic dementia. Neuropsychology. 2009;23(4):492. doi: 10.1037/a0015452. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Jessen F, Heun R, Erb M, Granath DO, Klose U, Papassotiropoulos A, Grodd W. The concreteness effect: Evidence for dual coding and context availability. Brain and Language. 2000;74(1):103–112. doi: 10.1006/brln.2000.2340. [DOI] [PubMed] [Google Scholar]
  • 30.Kaplan E, Goodglass H, Weintraub S. Boston naming test. 2001. Pro-ed. [Google Scholar]
  • 31.Libon DJ, McMillan C, Gunawardena D, Powers C, Massimo L, Khan A, Grossman M. Neurocognitive contributions to verbal fluency deficits in frontotemporal lobar degeneration. Neurology. 2009;73(7):535–542. doi: 10.1212/WNL.0b013e3181b2a4f5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Libon DJ, Rascovsky K, Powers J, Irwin DJ, Boller A, Weinberg D, Grossman M. Comparative semantic profiles in semantic dementia and Alzheimer’s disease. Brain. 2013;136(8):2497–2509. doi: 10.1093/brain/awt165. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Macoir J. Is a plum a memory problem?: Longitudinal study of the reversal of concreteness effect in a patient with semantic dementia. Neuropsychologia. 2009;47(2):518–535. doi: 10.1016/j.neuropsychologia.2008.10.006. [DOI] [PubMed] [Google Scholar]
  • 34.Martin A, Haxby JV, Lalonde FM, Wiggs CL, Ungerleider LG. Discrete cortical regions associated with knowledge of color and knowledge of action. Science. 1995;270(5233):102–105. doi: 10.1126/science.270.5233.102. [DOI] [PubMed] [Google Scholar]
  • 35.Martin A. The representation of object concepts in the brain. Annual Review of Psychology. 2007;58:25–45. doi: 10.1146/annurev.psych.57.102904.190143. [DOI] [PubMed] [Google Scholar]
  • 36.Mellet E, Tzourio N, Denis M, Mazoyer B. Cortical anatomy of mental imagery of concrete nouns based on their dictionary definition. Neuroreport. 1998;9(5):803–808. doi: 10.1097/00001756-199803300-00007. [DOI] [PubMed] [Google Scholar]
  • 37.Mesulam MM, Grossman M, Hillis A, Kertesz A, Weintraub S. The core and halo of primary progressive aphasia and semantic dementia. Annals of Neurology. 2003;54(S5):S11–S14. doi: 10.1002/ana.10569. [DOI] [PubMed] [Google Scholar]
  • 38.Mesulam MM, Wieneke C, Hurley R, Rademaker A, Thompson CK, Weintraub S, Rogalski EJ. Words and objects at the tip of the left temporal lobe in primary progressive aphasia. Brain. 2013;136(2):601–618. doi: 10.1093/brain/aws336. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Mion M, Patterson K, Acosta-Cabronero J, Pengas G, Izquierdo-Garcia D, Hong YT, Nestor PJ. What the left and right anterior fusiform gyri tell us about semantic memory. Brain. 2010:awq272. doi: 10.1093/brain/awq272. [DOI] [PubMed] [Google Scholar]
  • 40.Miyashita Y. Inferior temporal cortex: where visual perception meets memory. Annual Review of Neuroscience. 1993;16(1):245–263. doi: 10.1146/annurev.ne.16.030193.001333. [DOI] [PubMed] [Google Scholar]
  • 41.Moseley R, Carota F, Hauk O, Mohr B, Pulvermüller F. A role for the motor system in binding abstract emotional meaning. Cerebral Cortex. 2012;22(7):1634–1647. doi: 10.1093/cercor/bhr238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Moss HE, Abdallah S, Fletcher P, Bright P, Pilgrim L, Acres K, Tyler LK. Selecting among competing alternatives: selection and retrieval in the left inferior frontal gyrus. Cerebral Cortex. 2005;15(11):1723–1735. doi: 10.1093/cercor/bhi049. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Paivio A. A dual coding perspective on imagery and the brain. 1989. [Google Scholar]
  • 44.Paivio A. Dual coding theory: Retrospect and current status. Canadian Journal of Psychology. 1991;45(3):255. [Google Scholar]
  • 45.Pandya DN, Yeterian EH. Association and auditory cortices. Springer; US: 1985. Architecture and connections of cortical association areas; pp. 3–61. [Google Scholar]
  • 46.Papagno C, Capasso R, Miceli G. Reversed concreteness effect for nouns in a subject with semantic dementia. Neuropsychologia. 2009;47(4):1138–1148. doi: 10.1016/j.neuropsychologia.2009.01.019. [DOI] [PubMed] [Google Scholar]
  • 47.Patterson K, Nestor PJ, Rogers TT. Where do you know what you know? The representation of semantic knowledge in the human brain. Nature Reviews Neuroscience. 2007;8(12):976–987. doi: 10.1038/nrn2277. [DOI] [PubMed] [Google Scholar]
  • 48.Rascovsky K, Hodges JR, Knopman D, Mendez MF, Kramer JH, Neuhaus J, Miller BL. Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. Brain. 2011;134(9):2456–2477. doi: 10.1093/brain/awr179. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Recchia G, Jones MN. The semantic richness of abstract concepts. Frontiers in Human Neuroscience. 2012:6. doi: 10.3389/fnhum.2012.00315. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Reilly J, Grossman M, McCawley G. Concreteness effects in lexical processing of semantic dementia. Brain and Language. 2006;99(1):157–158. [Google Scholar]
  • 51.Rogalski E, Cobia D, Harrison TM, Wieneke C, Weintraub S, Mesulam MM. Progression of language decline and cortical atrophy in subtypes of primary progressive aphasia. Neurology. 2011;76(21):1804–1810. doi: 10.1212/WNL.0b013e31821ccd3c. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Rohrer JD, McNaught E, Foster J, Clegg SL, Barnes J, Omar R, Fox NC. Tracking progression in frontotemporal lobar degeneration Serial MRI in semantic dementia. Neurology. 2008;71(18):1445–1451. doi: 10.1212/01.wnl.0000327889.13734.cd. [DOI] [PubMed] [Google Scholar]
  • 53.Sabsevitz DS, Medler DA, Seidenberg M, Binder JR. Modulation of the semantic system by word imageability. Neuroimage. 2005;27(1):188–200. doi: 10.1016/j.neuroimage.2005.04.012. [DOI] [PubMed] [Google Scholar]
  • 54.Schwanenflugel PJ, Harnishfeger KK, Stowe RW. Context availability and lexical decisions for abstract and concrete words. Journal of Memory and Language. 1988;27(5):499–520. [Google Scholar]
  • 55.Schwanenflugel PJ, Shoben EJ. Differential context effects in the comprehension of abstract and concrete verbal materials. Journal of Experimental Psychology: Learning, Memory, and Cognition. 1983;9(1):82. [Google Scholar]
  • 56.Thompson-Schill SL, D’Esposito M, Aguirre GK, Farah MJ. Role of left inferior prefrontal cortex in retrieval of semantic knowledge: A reevaluation. Proceedings of the National Academy of Sciences. 1997;94(26):14792–14797. doi: 10.1073/pnas.94.26.14792. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.van Hell JG, De Groot AM. Disentangling Context Availability and Concreteness in Lexical Decision and Word Translation. The Quarterly Journal of Experimental Psychology: Section A. 1998;51(1):41–63. [Google Scholar]
  • 58.Wang J, Conder JA, Blitzer DN, Shinkareva SV. Neural representation of abstract and concrete concepts: A meta-analysis of neuroimaging studies. Human Brain Mapping. 2010;31(10):1459–1468. doi: 10.1002/hbm.20950. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Warriner AB, Kuperman V, Brysbaert M. Norms of valence, arousal, and dominance for 13,915 English lemmas. Behavior research methods. 2013;45(4):1191–1207. doi: 10.3758/s13428-012-0314-x. [DOI] [PubMed] [Google Scholar]
  • 60.Warrington EK. The selective impairment of semantic memory. The Quarterly Journal of Experimental Psychology. 1975;27(4):635–657. doi: 10.1080/14640747508400525. [DOI] [PubMed] [Google Scholar]
  • 61.Williams R, Ash S, Rascovsky K, Grossman M. Grammar Comprehension and Executive Function in Patients with the Behavioral Variant of Frontotemporal Degeneration (bvFTD) Neurology. 2015;84(14 Supplement):P1–226. [Google Scholar]
  • 62.Yi HA, Moore P, Grossman M. Reversal of the concreteness effect for verbs in patients with semantic dementia. Neuropsychology. 2007;21(1):9. doi: 10.1037/0894-4105.21.1.9. [DOI] [PubMed] [Google Scholar]

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