Original Research ARTICLE
Behavioral evidence for inter-hemispheric cooperation during a lexical decision task: a divided visual field experiment
- 1INSERM U1028, CNRS UMR5292, Lyon Neuroscience Research Center, Brain Dynamics and Cognition Team, Université Claude Bernard Lyon 1, Lyon, France
- 2LUTIN Userlab - CHArt Cognitions Humaine et Artificielle, Département de Psychologie, Université Paris 8, Paris, France
- 3Laboratoire de Psychologie et Neurocognition CNRS – UMR 5105, Département de Psychologie, Université Pierre Mendès-France, Grenoble, France
- 4Institut Universitaire de France, IUF, Paris, France
• The redundant bilateral visual presentation of verbal stimuli decreases asymmetry and increases the cooperation between the two hemispheres.
• The increased cooperation between the hemispheres is related to semantic information during lexical processing.
• The inter-hemispheric interaction is represented by both inhibition and cooperation.
This study explores inter-hemispheric interaction (IHI) during a lexical decision task by using a behavioral approach, the bilateral presentation of stimuli within a divided visual field experiment. Previous studies have shown that compared to unilateral presentation, the bilateral redundant (BR) presentation decreases the inter-hemispheric asymmetry and facilitates the cooperation between hemispheres. However, it is still poorly understood which type of information facilitates this cooperation. In the present study, verbal stimuli were presented unilaterally (left or right visual hemi-field successively) and bilaterally (left and right visual hemi-field simultaneously). Moreover, during the bilateral presentation of stimuli, we manipulated the relationship between target and distractors in order to specify the type of information which modulates the IHI. Thus, three types of information were manipulated: perceptual, semantic, and decisional, respectively named pre-lexical, lexical and post-lexical processing. Our results revealed left hemisphere (LH) lateralization during the lexical decision task. In terms of inter-hemisphere interaction, the perceptual and decision-making information increased the inter-hemispheric asymmetry, suggesting the inhibition of one hemisphere upon the other. In contrast, semantic information decreased the inter-hemispheric asymmetry, suggesting cooperation between the hemispheres. We discussed our results according to current models of IHI and concluded that cerebral hemispheres interact and communicate according to various excitatory and inhibitory mechanisms, all which depend on specific processes and various levels of word processing.
The majority of individuals show a left hemisphere (LH) predominance for language processing (Josse and Tzourio-Mazoyer, 2004). Nevertheless, both hemispheres are more or less involved during language processing and they are in constant interaction. The mechanisms underlying the inter-hemispheric interaction (IHI) is still a topic of debate (for a review, see van der Knaap and van der Ham, 2011). In the present study, and through the manipulation of the information conveyed between hemispheres by means of divided visual fields (DVF) presentation of verbal material, we evaluated both the hemispheric specialization and the inter-hemisphere interaction.
DVF is based on the anatomo-functional properties of partially crossed visual pathways (Chiarello et al., 2004; Bourne, 2006). Consequently, a briefly presented stimulus (flashed) in one's visual hemi-field is processed first by the opposite hemisphere (LH for the right visual hemi-field presentation; right hemisphere-RH for left visual hemi-field presentation). The logic behind this procedure is that visual verbal stimuli are processed faster and more efficiently if they are presented first to the specialized hemisphere to process language, generally the left one (Bourne, 2006). Studies performed with DVF procedure provide convergent evidence with those using brain lesion-deficit approach and neuroimaging studies. Indeed, DVF studies suggest that (1) LH is predominant for processing language and (2) RH has several language abilities. The degree of hemispheric specialization (LH > RH) varies according to the language task and the psycholinguistic features of the stimuli (Chiarello et al., 2005; Cousin et al., 2006; Perrone et al., 2009). These studies are suggesting a continuum of hemispheres involvement, rather than absolute unilateral hemispheric specialization (Pulvermüller, 1996; Jung-Beeman, 2005). Both hemispheres communicate continuously during language processing and show dynamic interaction (Banich, 1998). This IHI may be explored by using a specific procedure derived from DVF, the bilateral and simultaneous presentation of stimuli in both left (LVF) and right (RVF) visual hemi-fields (see Bourne, 2006 for a review). Compared to unilateral, the bilateral presentation shows higher performances for language processing. This is particularly true if bilateral presented stimuli are redundant (identical) rather than different (Banich and Karol, 1992; Hellige, 1993; Mohr et al., 2000, 2002). The gain of performance (bilateral > unilateral) is called “bilateral gain” (BG) and represents behavioral evidence for the inter-hemispheric cooperation (Zaidel and Rayman, 1994; Mohr et al., 1996; Hasbrooke and Chiarello, 1998; Weissman and Banich, 2000). Cooperation between hemispheres is based on anatomical structures connecting both hemispheres such as with the corpus callosum (Weems and Reggia, 2004; Stephan et al., 2005). Indeed, the BG is not obtained in split-brain patients (Mohr et al., 1994). To be measured, the BG requires that “hemispheres are not independent processors” (Weems and Reggia, 2004).
Nevertheless, in healthy subjects, BG was only observed under certain conditions such as the performance of complex tasks and familiar stimuli (Banich and Belger, 1990; Mohr et al., 1996). The facilitation for familiar stimuli is currently explained by the neurocognitive model based on Hebbian learning mechanisms (Pulvermüller and Mohr, 1996). This model suggests that previously learned items are stocked under memory representations of words (see Pulvermüller, 1996; Pulvermüller and Mohr, 1996; Mohr et al., 2007). These representations correspond to large networks composed of inter-connected neurons and constitute functional units distributed across hemispheres. A Functional Unit emerges from the frequent co-activation of an inter-hemispheric ensemble of neurons by the repeated presentation of stimuli. Thus, a unilateral visual hemi-field presentation may activate the corresponding functional unit distributed across hemispheres. If the same item is presented simultaneously in both visual hemi-fields, the activation of cortical representation across hemispheres could double its strength with the additive mechanisms present. In terms of performance the additive mechanisms may be reflected by the BG effect and the decrease of inter-hemispheric asymmetry (Mohr et al., 1996). In other words, the bilateral redundant (BR) presentation of stimuli increases the cooperation between hemispheres.
Even with the BG reports following the BR presentation, it remains unclear what specific type of information facilitates the inter-hemispheric cooperation during the word processing. The BR presentation involves identical perceptual, semantic and decisional processing (response making, i.e., for the two stimuli presented the same response as expected). Each type of processing may facilitate the cooperation: perceptual (see Banich and Karol, 1992) such as physical resemblance of stimuli (Fernandino et al., 2007; Baird and Burton, 2008), semantic relationship (Koivisto, 2000; Baird and Burton, 2008) and decision-making for providing responses (Banich and Karol, 1992; Iacoboni and Zaidel, 1996; Fernandino et al., 2007). In line with this proposal, Baird and Burton (2008) evaluated the nature of the inter-hemispheric cooperation during a non-verbal task. Specifically, they evaluated the effect of low sensory and high abstract level of the information transferred between hemispheres. They presented faces (familiar vs. unfamiliar) under unilateral and bilateral visual field presentation. The bilateral presentation was composed of two conditions, redundant (i.e., same face image projected simultaneously to both hemispheres) and non-redundant (NR) (i.e., different face images, each one presented to one hemisphere). In the NR condition, the two faces represented the same person (semantic similarity) taken in different positions (perceptual difference). Results revealed BG for familiar faces during both bilateral conditions presentation, redundant and NR. The authors suggest that the BG is not restricted to identical stimuli (perceptual information) but also concerns stimuli designating the same concept or same identity (semantic information). Nevertheless, although reduced, the perceptual information was still persistent during the bilateral NR presentation (i.e., same face). Consequently, the BG observed in this condition may be related to both, semantic and perceptual information shared between hemispheres.
Furthermore, Fernandino et al. (2007) investigated the IHI during a lexical decision task using a DVF experiment. Participants were asked to judge whether a target string-of-letters was a word (manual response “yes”) or a pseudo-word (manual response “no”). Target items (word or pseudo-word) were always underlined in order to be easily differentiated from the distractors. Authors used two types of bilateral presentation to evaluate the effect of “lexical redundancy” during the IHI. In one of them, the distractor had the same lexical nature as the target item (i.e., both items were lexically related; if the target was a word, the distractor is a word too, i.e., congruent distractor condition). In the other one, the distractor was lexically different from the target item (i.e., if the target was a word, the distractor was a pseudo-word, i.e., incongruent distractor condition). Thus in the bilateral congruent distractor condition, both target and distractor induced the same response decision in each hemisphere. Conversely, in the bilateral incongruent distractor condition, the target and the distractor induced a different response decision in each hemisphere. Based on this experimental configuration, the authors investigated how the lexical nature of the distractor modulates target processing by each hemisphere (visual hemi-field of presentation) at different levels (before or after response decision). Their results suggest that IHI takes place before the programming of the motor response. Specifically, they found that incongruent distractors delayed the lexical decision compared to perceptual distractors (i.e., string of XXXX in the opposite visual field).
Here we used an original paradigm based on previous studies (Banich and Karol, 1992; Fernandino et al., 2007), which manipulates the type of shared information between hemispheres during a lexical decision task (i.e., decide whether the stimulus presented is a real word or not; Chiarello, 1988). By manipulating the relationship between target and distractor, our paradigm allows us to specifically focus on perceptual characteristics (physical resemblance) of the information at pre-lexical level, on semantic characteristics (knowledge and meaning) during lexical access, and on decisional information (planning response) at the post-lexical processing. Our major aim was to determine how the type of information modulates the inter-hemispheric cooperation; we focused on the degree of hemispheric involvement, namely, the increase or the decrease of the degree of inter-hemispheric asymmetry.
Materials and Methods
Forty native French speakers (15 males, Mean = 22.33 year, SD = 4.89 year) participated in the experiment. They had normal or corrected-to-normal vision and were right-handed (Mean = 98, SD = 15) as determined by the Edinburgh Handedness Inventory (Oldfield, 1971). All participants were undergraduate students and received course credits for their participation. They all gave informed consent to participate in the experiment.
Stimuli were built to meet the five modes of presentation (see Figure 1 and Experimental Conditions section). We used 128 French words and 128 pseudo-words during a lexical decision task (see Table A1). Stimuli were controlled in a number of letters1 (4–7), French lexical frequency (Lexique.org; New et al., 2004) and semantic relationship (Alario, 1999) according to each of the five experimental conditions (see below). The pseudo-words were built by changing three or four letters in words.
Further, 32 pairs of words were selected, from the 100 highest semantically related (SR) word pairs, from the Alario's database (Alario, 1999). The semantic association could lead to a taxonomic (apple–banana) or a contextual (apple–fruit) category. Alario's database is based on free verbal associations between names of concrete objects, made by 89 French participants. Our assumption was that the free semantic association of items favors the ecological approach of neural connectivity (neural functional units), without any prerequisite that could distort the results.
All target items were presented during the five experimental conditions. The other word of each pair was considered as distractor and presented during the bilateral semantically related (SR) condition. In addition, we selected two other words matching the distractor in terms of frequency of occurrence2, number of letters, lexical status and gender (see Table A1). One of these two words was presented during the bilateral semantically unrelated (SU) condition, and the other one during the bilateral NR condition. Pseudo-words were constructed from words and were presented during each experimental condition according to original words (e.g., the pseudo-word “rechai” was built from the real word “cahier,” thus “reachi” was presented in the same experimental condition presenting “cahier”). To summarize, for each target-word and according to each condition of presentation we associated 32 semantically related words (SR condition), 32 SU words (SU condition) and 32 pseudo-words (NR condition). Similarly, for each target pseudo-words we associated 64 control pseudo-words (SR and SU conditions) and 32 words (NR condition).
E-Prime software (E-Prime Psychology Software Tools Inc., Pittsburgh, USA) was used for the experimentation. Stimuli were written in black “Courier New” font size 24 and displayed on the white screen of a computer monitor (screen resolution 1024 × 768 pixels) located at a distance of 57 cm from the participant's eyes.
We considered the following five experimental conditions according to the relationship between target (presented in one visual hemi-field) and distractor (presented in the other visual hemi-field):
1. Unilateral left/right visual hemi-field, UVF (Figure 1a): the target was a word or a pseudo-word and the distractor was a string of letters (letter “X” matching the number of letters in the target). The target and the distractor did not share relevant information for the task performance.
2. Bilateral redundant, BR (Figure 1b): the target and the distractor were presented simultaneously and were identical (same lexical category and same stimulus; i.e., the same word). The information shared between target and distractor was perceptual, semantic and decisional.
3. Bilateral non-redundant semantically related, BNR_SR (Figure 1c): the target and the distractor were SR words selected from Alario (1999) database. The information shared between target and distractor was semantic and decisional.
4. Bilateral non-redundant semantically unrelated, BNR_SU (Figure 1d): the target and the distractor had the same lexical status (i.e., if a target is a word, the distractor is a word, same lexical status but dissimilar stimuli). Word distractors were matched in terms of lexical frequency and number of letters with word distractors presented in BNR_SR condition (New et al., 2004). The information shared between target and distractor was decisional only, because both items induce the same manual response (e.g., yes).
5. Bilateral non-redundant, BNR (Figure 1e): the target and the distractor were lexically dissimilar (i.e., word and pseudo-word). As in the previous condition, word distractors were matched in terms of lexical frequency and number of letters with word distractors shown in BNR_SR condition. The target and the distractor did not share relevant information to perform the task.
For (4, 5) conditions, only word trials were considered for analysis, the pseudo-words were used as a control.
The whole experiment was divided into four blocks, each of them including the same number of words and pseudo-words (i.e., 32 items). Furthermore, each block was performed under two modes of presentation, unilateral (UVF) and bilateral (BR or BNR_SR or BNR_SU or BNR). Indeed, each block was composed of 32 unilateral and 32 bilateral trials for one on the four bilateral conditions. Thus, there were four blocks, one for each bilateral condition. Trials were presented randomly within each block. This presentation allowed a left and right visual hemi-field presentation of each target item. The whole experiment included 256 trials.
Each trial (Figure 2) began with a 500 ms fixation cross (in order to keep the gaze direction at the center of the screen) followed by a stimulus displayed for 180 ms, either in UVF (RVF or LVF) or simultaneously in both visual hemi-fields (RVF and LVF). The short duration of stimulus presentation insured mono-hemispheric presentation (Belger and Banich, 1992; Afraz et al., 2003). Stimulus presentation was followed by a 30 ms visual mask composed of a sequence of eight stars. The inner and the outer edges of the lateralized presented stimuli were located at 2 and 6° from the eyes fixation, respectively. The trial ended with a 1500 ms fixation cross. The target stimulus was underlined.
Figure 2. Example of trial during unilateral (1) and (2) bilateral redundant presentation. A fixation cross was presented for 500 ms, followed by stimulus presentation for 180 ms, mask during 30 ms and fixation cross for 1500 ms.
Participants were instructed to perform a lexical decision task based on deciding whether or not the underlined item (target) was a real French word. The task was the same for the five experimental conditions. Participants provided manual responses with their index and middle finger. The responding hand was controlled (Eviatar et al., 1997; Provins, 1997); as each participant responded with the right hand for half of the experimental blocks and switched to the left hand for each last half. Before the experiment, participants went through a short training session which included various items not shown during the experiment. The participant's reaction time (RT) and accuracy (% Correct Responses, CR) were recorded for each participant and condition.
A two-step ANOVAs (analysis of variance) was performed. First of all, we evaluated the degree of hemispheric specialization by considering all target items, independently of their lexical nature and for all conditions. In order to achieve this, we compared the performances for stimuli presented in the left vs. the right visual hemi-fields. Thus, if a right visual hemi-field advantage was observed which suggests LH predominance, a second level analysis was subsequently performed, this to evaluate the effect of considered variables.
Only words were considered for the second analysis. Specifically, the second level analysis was an ANOVA including all five experimental conditions according to the visual hemi-field of presentation. Four statistical contrasts were calculated according to the hypotheses: (1) BG: UVF vs. BR; (2) Effect of perceptual information: BR vs. BNR_SR; (3) Effect of semantic information: BNR_SR vs. BNR_SU; (4) Effect of decisional information: BNR_SU vs. BNR.
Accuracy (% CR) and latency (mean RT) values were included in two ANOVAs, one by participant (F1) and another one by item (F2).
First Step ANOVA: Hemispheric Specialization
The performances were collapsed for all conditions (unilateral and bilateral) and for all targets stimuli (words and pseudo-words). Thus, we considered visual hemi-field of presentation (RVF-LH; LVF-RH) as a within-subject factor.
Latency (mean RT)
In terms of RT, results reveal main effect of visual hemi-field [F1(1, 39) = 65.24; PRE3 = 0.62; p < 0.05; F2(1, 63) = 20.25; PRE = 0.24; p < 0.05] with faster responses for RVF-LH (M = 754.81 ms, SD = 20.90 ms) than for LVF-RH (M = 785.36 ms, SD = 26.12 ms), suggesting LH specialization (Figure 3).
Figure 3. Visual hemi-field effect: illustrates graphically results obtained in the first-step ANOVA analysis in terms of Accuracy (% CR) and response time (RT). Abbreviations: RVF, right visual hemi-field; LVF, left visual hemi-field; LH, left hemisphere; RH, right hemisphere. *p < 0.05.
Accuracy (% CR)
In terms of Accuracy, the results revealed the visual hemi-field's main effects of [F1(1, 39) = 65.24; PRE = 62; p < 0.05; F2(1, 63) = 32.96; PRE = 0.34; p < 0.05] with more accurate responses for RVF-LH (M = 71.05%, SD = 1.35%) than for LVF-RH (M = 61.85%, SD = 1.11%). This result suggests that lexical decision was performed more accurately when stimuli were presented first to the LH (Figure 3).
Second Step ANOVA
We considered the visual hemi-field of presentation (RVF-LH, LVF-RH) and the experimental condition (UVF, BR, BNR_SR, BNR_SU, BNR) as within-subject factors for word items. We first presented the omnibus ANOVA results according to both dependent variables. Then, we presented the statistically planned comparison according to each of our hypotheses. Significant results were only obtained in terms of accuracy. Based on latency, we did not obtain significant interaction with the omnibus ANOVA. Moreover, the planned comparisons according to each hypothesis were not significant.
Latency (mean RT)
In terms of RT, results revealed only a significant main effect of visual hemi-field [F1(1, 39) = 15.71; PRE = 0.28; p < 0.05; F2(1, 31) = 25.66; PRE = 0.45; p < 0.05] with faster responses for RVF (M = 728.29 ms, SD = 19.7 ms) than for LVF (M = 777.92 ms, SD = 24.39 ms) suggesting LH specialization. The main effect of experimental condition was not significant [F1(4, 156) = 0.88; PRE = 0.022; p = 0.47; F2(4, 124) = 1.74; PRE = 0.05; p = 0.14]. The interaction between the experimental condition and the visual hemi-field of presentation was not significant either [F1(4, 156) = 0.49; PRE = 0.01; p = 0.73; F2(4, 124) = 0.78; PRE = 0.02; p = 0.53].
Accuracy (% CR)
In terms of Accuracy, the results revealed a significant effect of visual hemi-field's presentation [F1(1, 39) = 49.05; PRE = 0.55; p < 0.05; F2(1, 31) = 62.82; PRE = 0.66; p < 0.05] with more accurate responses for RVF-LH (M = 69.40%, SD = 2.09%) than for LVF-RH (M = 52.10%, SD = 2.04%). Furthermore, our results reveal a significant effect of experimental conditions [F1(4, 156) = 10.69; PRE = 0.22; p < 0.05; F2(4, 124) = 15.14; PRE = 0.33; p < 0.05], see Table 1. More interestingly, our results reveal a significant interaction between the experimental condition and the visual hemi-field's presentation [F1(4, 156) = 7.66; PRE = 0.16; p < 0.05; F2(4, 124) = 8.74; PRE = 0.21; p < 0.05], see Figure 4. Consequently, we present below (Table 1) the results for each statistical contrast, according to our hypotheses.
Table 1. Summarizes the mean value and the standard (italic values) deviation for the dependent variables: percent of correct responses (% CR) and mean of correct response time (mean RT, ms), according to the type of presentation and the visual hemi-field/the hemisphere of presentation.
Figure 4. Visual hemi-field and experimental condition interaction: illustrates in terms of accuracy the significant interaction between the visual hemi-field of presentation and the experimental condition for UVF vs. BR and BNR_SR vs. BNR_SU. Abbreviations: UVF, unilateral visual hemi-field; BR, bilateral redundant; BNR_SR, bilateral non-redundant semantic related; BNR_SU, bilateral non-redundant semantic unrelated; BNR, bilateral non-redundant; RVF, right visual hemi-field; LVF, left visual hemi-field; LH, left hemisphere; RH, right hemisphere. *p < 0.05.
Modulation of the IHI
By the type of visual presentation (UVF vs. BR)
As shown in Figure 4, we obtained significant interaction between experimental conditions (UVF, BR) and the visual hemi-field of presentation (RVF-LH, LVF-RH) [F1(1, 39) = 4.85; p < 0.05; F2(1, 31) = 6.08; p < 0.05] with a higher degree of inter-hemispheric asymmetry during UVF [F1(1, 39) = 22.55; p < 0.05; F2(1, 31) = 31.99; p < 0.05] than BR [F1(1, 39) = 0.96; p = 0.33; F2(1, 31) = 0.94; p = 0.33]. This result suggests supplementary recruitment of the RH with BG, reflecting increased hemispheric cooperation during bilateral presentation of linguistic stimuli.
By the perceptual information (BR vs. BNR_SR)
As illustrated in Figure 4 our results do not reveal a significant interaction between experimental conditions (BR, BNR_SR) and the visual hemi-field of presentation (RVF-LH, LVF-RH) [F1(1, 39) = 1.69; p = 0.20; F2(1, 31) = 2.64; p = 0.11]. This result suggests a lack of significant differences between both bilateral presentations. The perceptual information does not modulate the IHI.
By the semantic information (BNR_SR vs. BNR_SU)
As shown in Figure 4, we obtained a significant interaction between experimental conditions (BNR_SR, BNR_SU) and the visual hemi-field of presentation (RVF-LH, LVF-RH) [F1(1, 39) = 10.69; p < 0.05; F2(1, 31) = 7.99; p < 0.05] with a higher degree of inter-hemispheric asymmetry during BNR_SU [F1(1, 39) = 40.09; p < 0.05; F2(1, 31) = 54.96; p < 0.05] than BNR_SR [F1(1, 39) = 7.87; p < 0.05; F2(1, 31) = 9.18; p < 0.05]. This result suggests that the semantic information decreases the degree of inter-hemispheric asymmetry and modulates the IHI.
By the decisional information (BNR_SU vs. BNR)
As illustrated in Figure 4, our results do not reveal significant interactions between experimental conditions (BNR_SU, BNR) and the visual hemi-field of presentation (RVF-LH, LVF-RH) [F1(1, 39) = 0.47; p = 0.49; F2(1, 31) = 0.70; p = 0.41] suggesting that BNR_SU and BNR induce a similar degree of inter-hemispheric asymmetry. The decisional information does not modulate the IHI.
The aim of the present study was to explore the modulation of inter-hemispheric cooperation during a lexical decision task according to the type of visual presentation (unilateral, bilateral) and three types of information processing (perceptual, semantic and decisional). A DVF experiment was used to compare performances for unilateral vs. bilateral simultaneous presentation of stimuli.
Our results replicated previous DVF studies reporting shorter RT and increased accuracy if the target was presented within RVF-LH than LVF-RH. This is consistent with the LH advantage for language processing (Iacoboni and Zaidel, 1996; Waldie and Mosley, 2000; Barnea et al., 2005; Vigneau et al., 2011). The results showed LH predominance for both unilateral and bilateral presentations and validated the DVF experimental paradigm.
Furthermore, we obtained BG effect for the BR compared to the unilateral presentation in RVF-LH. The BG suggests inter-hemispheric asymmetry reduction and increased inter-hemispheric cooperation by a supplementary involvement of the right hemisphere (see Lindell, 2006). Indeed, no significant difference was observed between the visual hemi-fields of presentation during redundant presentation. This pattern may be explained in terms of the facilitatory mechanism of information processing during identical simultaneous stimulus presentation (Mohr et al., 1996). Further, our results suggest that the BR presentation facilitates the cooperative work of the hemispheres, which increases behavioral performances. These results are in agreement with the neurocognitive model proposed by Pulvermüller (1996) and Pulvermüller and Mohr (1996) suggesting neural additive mechanisms (Mohr et al., 1994, 1996; Pulvermüller and Mohr, 1996).
We were also interested in identifying which type of information and processes modulates the inter-hemispheric cooperation during the bilateral redundant (BR) presentation. During the BR presentation, the information addressed to both hemispheres was identical (i.e., perceptual, semantic and decisional). Indeed, several studies suggest that this information is involved at different levels of visual word recognition and involves several types of IHI (Fernandino et al., 2007; Shipp, 2011; Doron et al., 2012). Results illustrated in Figure 4 suggest that perceptual and decision-making processes are not sufficient to explain the BG observed during BR. Indeed, we did not obtain significant interaction between the BR and the bilateral non-redundant semantic related (BNR_SR) condition, suggesting that the low perceptual information at pre-lexical level cannot explain alone the BG observed during BR presentation. Thus, the information processing at pre-lexical stage does not induce inter-hemispheric cooperation (see Chiarello, 1988).
Similarly, the lack of significant interaction between NR -semantic unrelated (BNR_SU) and lexical incongruent (BNR) presentations, suggests that the decision-making requirement at the post-lexical level cannot alone explain the BG observed during BR presentation. Accordingly, the information processing at the post-lexical level during lexical decision does not induce inter-hemispheric cooperation (Weems and Zaidel, 2005).
Our results suggest that only semantic information induces a significant difference of the degree of inter-hemisphere asymmetry during BR. Indeed, SR words (BNR_SR) induce a lower degree of inter-hemispheric asymmetry than semantically unrelated words (BNR_SU). This effect may be explained by supplementary involvement of the right hemisphere known to be equipped with semantic abilities (Hutchinson et al., 2003; Graves et al., 2010; Borovsky et al., 2013). In fact, both hemispheres show semantic abilities and complementary mechanisms (Beeman and Chiarello, 1998; Chiarello, 1998; Faust and Lavidor, 2003; Jung-Beeman, 2005). The time course of semantic processing varies across hemispheres (Koivisto, 1997): it starts earlier and gains more speed in the LH than in RH (Koivisto and Laine, 1995). This observation explains not only the supplementary right hemisphere involvement during semantic processing, but also why this effect was obtained only in terms of %CR but not in terms of RT as the LH is always faster in all types of visual presentation conditions. Nevertheless, it is important to notice that the comprehension of IHI mechanisms requires that behavioral measures were coupled with electrophysiological recording (Doron et al., 2012). Indeed, inter-individual variability in terms of duration of language processing, of inter-hemispheric transfer and of response programming may constitute an important factor. All its dimensions are difficult to distinguish by using the behavioral approach solely.
These results, which reflect cooperation between hemispheres for semantic information, may be explained according to Pulvermüller and collaborators (Pulvermüller, 1996; Pulvermüller and Mohr, 1996). The relationship between words used in our study derived from a database of words SR by the free semantic association (Alario, 1999). The semantic relationship between two words may activate a specific cortical representation (functional unit) since this semantic association is frequently used (Borovsky et al., 2013). Consequently, strong connections between cortical representations of word-pairs may be created and reinforced based on a large number of multimodal associations (Pulvermüller, 2012).
Interestingly, for unrelated semantic words (BNR_SU) and also for lexical incongruent stimuli (BNR) presentations, increased RVF-LH performances were observed. Both BNR_SU and BNR condition revealed greater inter-hemispheric asymmetry and suggested that the enhancement of the LH predominance may be detrimental for the right hemisphere performance. Surprisingly the LVF-RH performance was above the chance level (<50%) during these conditions (BNR, BNR_SU) compared to other experimental conditions (Table 1). This pattern of hemispheric involvement may reveal that two different words (lexically congruent) or two lexically dissimilar items may induce IHI. However, this interaction is mainly inhibitory (see for a review Bloom and Hynd, 2005). Indeed, Fernandino et al. (2007) established that only lexical congruent and incongruent distractors would slow down the target processing, but not the perceptual distractors. According to hemispheric independence model (Iacoboni and Zaidel, 1996; Fernandino et al., 2007; see also Weems and Reggia, 2004), the performance of a lateralized task induces inhibition of the contralateral non-predominant hemisphere in order to reduce the interference and to increase the performance. Indeed, it is possible that LH starts to process the incoming information early, leading to the inhibition of other incoming information from the RH.
This study explored the modulation of IHI during a lexical decision task by using a DVF procedure with BR presentation of stimuli. Our results confirmed two well-documented results: (1) LH lateralization for a lexical decision and (2) increase of hemisphere cooperation BG during BR presentation(s). Specifically, we investigated the effects of the type of information (perceptual, semantic and decisional) on the BG. Our results suggested that perceptual and decision-making information were not sufficient to explain the IH cooperation. These show the IH cooperation is less likely to emerge during pre-lexical (perceptual) and/or post-lexical (decision-making) processing but were so, mainly during lexical semantic processing, when the semantic information was shared between hemispheres. During the lexical processing, we can explain these results in terms of facilitatory mechanisms of cooperation and supplementary right hemisphere recruitment. Overall, our results indicated that the interaction between hemispheres may follow various mechanisms, some inhibitory and others facilitatory. Additional experiments will be needed to increase the robustness of these results.
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.
- ^To ensure that our results are not imputable to the number of letters (NL) composing the items, a complementary analysis has been done. Specifically, we performed an ANOVA by item in terms of accuracy (% CR) and latency (RT ms). ANOVA (Analysis of variance) included the NL (4–7) and the visual field of presentation (left, right). The results indicated lack of main effect of the NL (in terms of % CR, F2(3, 60) = 1.82, p = 0.15 and in terms of RT, F2(3, 60) = 1.64, p = 0.18). Also, the NL does not interact with the visual field of presentation neither in terms of % CR, F2(3, 60) = 0.88, p = 0.45 nor in terms of RT, F2(3, 60) = 1.73, p = 0.17).
- ^We also verified that distractors were not significant different in terms of lexical frequency F2(2, 62) = 0.11, p =0.89.
- ^Instead of presenting Eta squared (used to illustrate the size effect) we present the percentage of reduction of error (PRE). Indeed, Greek letters (e.g., Eta squared) correspond to the mathematical formalization for population values (that we cannot know) and not the values for the sample. For this reason, we used the PRE that corresponds to the sample value of the partial Eta squared (Judd and McClelland, 1989, see Muller and Butera, 2007, Note 5).
Afraz, S. R., Montaser-Kouhsari, L., Vaziri-Pashkam, M., and Moradi, F. (2003). Interhemispheric visual interaction in a patient with posterior callosectomy. Neuropsychologia 41, 597–604. doi: 10.1016/S0028-3932(02)00201-4
Baird, L. M., and Burton, A. M. (2008). The bilateral advantage for famous faces: Interhemispheric communication or competition. Neuropsychologia 46, 1581–1587. doi: 10.1016/j.neuropsychologia.2008.01.001
Chiarello, C. (1998). “On codes of meaning and the meaning of codes: semantic access and retrieval within and between hemispheres” in Right Hemisphere Language Comprehension: Perspectives from Cognitive Neuroscience, eds M. Beeman and C. Chiarello (Mahwah, NJ: Erlbaum), 255–284.
Chiarello, C., Kacinik, N., Manowitz, B., Otto, R., and Leonard, C. (2004). Cerebral asymmetries for language: evidence for structural-behavioral correlations. Neuropsychology 18, 219–231. doi: 10.1037/0894-418.104.22.168
Chiarello, C., Shears, C., Liu, S., and Kacinik, N. A. (2005). Influence of word class proportion on cerebral asymmetries for high-and low-imagery words. Brain Cogn. 57, 35–38. doi: 10.1016/j.bandc.2004.08.024
Cousin, E., Peyrin, C., and Baciu, M. (2006). Hemispheric predominance assessment of phonology and semantics: a divided visual field experiment. Brain Cogn. 61, 298–304. doi: 10.1016/j.bandc.2006.02.005
Graves, W. W., Binder, J. R., Desai, R. H., Conant, L. L., and Seidenberg, M. S. (2010). Neural correlates of implicit and explicit combinatorial semantic processing. Neuroimage 53, 638–646. doi: 10.1016/j.neuroimage.2010.06.055
Koivisto, M., and Laine, M. (1995). Lateralized free-association priming: Implications for the hemispheric organization of semantic memory. Neuropsychologia 33, 115–124. doi: 10.1016/0028-3932(94)00109-3
Mohr, B., Landgrebe, A., and Schweinberger, S. R. (2002). Interhemispheric cooperation for familiar but not unfamiliar face processing. Neuropsychologia 40, 1841–1848. doi: 10.1016/S0028-3932(02)00040-4
Mohr, B., Pulvermüller, F., Cohen, R., and Rockstroh, B. (2000). Interhemispheric cooperation during word processing: evidence for callosal transfer dysfunction in schizophrenic patients. Schizophr. Res. 46, 231–239.
Mohr, B., Pulvermüller, F., Mittelstädt, K., and Rayman, J. (1996). Multiple simultaneous stimulus presentation facilitates lexical processing. Neuropsychologia 34, 1003–1013. doi: 10.1016/0028-3932(96)00006-1
Mohr, B., Pulvermüller, F., Rayman, J., and Zaidel, E. (1994). Interhemispheric cooperation during lexical processing is mediated by the corpus callosum: evidence from the split-brain. Neurosci. Lett. 181, 17–21.
Perrone, M., Cousin, E., Baciu, A., and Baciu, M. (2009). Modulation de la spécialisation hémisphérique du langage par le degré de transparence grapho-phonémique et le sexe. Etude comportementale en champ visuel divisé. Revue de Neurosychologie 1, 288–298. doi: 10.3917/rne.014.0288
Pulvermüller, F., and Mohr, B. (1996). The concept of transcortical cell assemblies: a key to the understanding of cortical lateralization and interhemispheric interaction. Neurosci. Biobehav. Rev. 20, 557–566.
Stephan, K. E., Penny, W. D., Marshall, J. C., Fink, G. R., and Friston, K. J. (2005). Investigating the functional role of callosal connections with dynamic causal models. Ann. N.Y. Acad. Sci. 1064, 16–36.
Vigneau, M., Beaucousin, V., Hervé, P.-Y., Jobard, G., Petit, L., Crivello, F., et al. (2011). What is right-hemisphere contribution to phonological, lexico-semantic, and sentence processing?: Insights from a meta-analysis. Neuroimage 54, 577–593. doi: 10.1016/j.neuroimage.2010.07.036
Weems, S. A., and Reggia, J. A. (2004). Hemispheric specialization and independence for word recognition: a comparison of three computational models. Brain Lang. 89, 554–568. doi: 10.1016/j.bandl.2004.02.001
Keywords: asymmetry, cooperation, inhibition, divided visual field, redundant, bilateral, lexical decision
Citation: Perrone-Bertolotti M, Lemonnier S and Baciu M (2013) Behavioral evidence for inter-hemispheric cooperation during a lexical decision task: a divided visual field experiment. Front. Hum. Neurosci. 7:316. doi: 10.3389/fnhum.2013.00316
Received: 28 March 2013; Accepted: 10 June 2013;
Published online: 27 June 2013.
Edited by:Mohamed L. Seghier, University College London, UK
Reviewed by:William W. Graves, Rutgers University, USA
Lise Van Der Haegen, Ghent University, Belgium;
'Oiwi P. Jones, Wellcome Trust Centre for Neuroimaging, UK
Copyright © 2013 Perrone-Bertolotti, Lemonnier and Baciu. 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: Monica Baciu, Laboratoire de Psychologie et Neurocognition, UMR CNRS 5105, BP 47, 38040 Grenoble 09, France e-mail: email@example.com
†These authors have contributed equally to this work.