Word Recognition Task Research Articles

Neural Response After a Single ECT Session During Retrieval of Emotional Self-Referent Words in Depression: A Randomized, Sham-Controlled fMRI Study.

BackgroundNegative neurocognitive bias is a core feature of depression that is reversed by antidepressant drug treatment. However, it is unclear whether modulation of neurocognitive bias is a common mechanism of distinct biological treatments. This randomized controlled functional magnetic resonance imaging study explored the effects of a single electroconvulsive therapy session on self-referent emotional processing.MethodsTwenty-nine patients with treatment-resistant major depressive disorder were randomized to one active or sham electroconvulsive therapy session at the beginning of their electroconvulsive therapy course in a double-blind, between-groups design. The following day, patients were given a self-referential emotional word categorization test and a free recall test. This was followed by an incidental word recognition task during whole-brain functional magnetic resonance imaging at 3T. Mood was assessed at baseline, on the functional magnetic resonance imaging day, and after 6 electroconvulsive therapy sessions. Data were complete and analyzed for 25 patients (electroconvulsive therapy: n = 14, sham: n = 11). The functional magnetic resonance imaging data were analyzed using the FMRIB Software Library randomize algorithm, and the Threshold-Free Cluster Enhancement method was used to identify significant clusters (corrected at P < .05).ResultsA single electroconvulsive therapy session had no effect on hippocampal activity during retrieval of emotional words. However, electroconvulsive therapy reduced the retrieval-specific neural response for positive words in the left frontopolar cortex. This effect occurred in the absence of differences between groups in behavioral performance or mood symptoms.ConclusionsThe observed effect of electroconvulsive therapy on prefrontal response may reflect early facilitation of memory for positive self-referent information, which could contribute to improvements in depressive symptoms including feelings of self-worth with repeated treatments.

Auditory object formation from background noise improves speech perception

Auditory object formation allows listeners to isolate a speech stream from a complex acoustic environment. While most studies focus on foregrounded speech, here we focus on whether listeners can form auditory objects from background noise to aid in speech perception. We use an open-set word recognition task with fluctuating speech-shaped-noise maskers, created by randomly interrupting the noise in each 125 ms window with a long (100 ms) or short (25 ms) silence. On each trial, three maskers were played, with the word occurring during the third. We previously showed that participants perform significantly better when the patterns repeat, compared to when the first two maskers differed from the third. Only the ordering of long or short within preceding patterns differs. To examine whether this advantage is due to auditory object formation, we leverage previous studies showing that inserted silences interfere with object formation. We insert 433 ms silences between patterns and observe defeat of the advantage we previously observed. We therefore attribute the advantage in the repeated masker condition to formation of an auditory object from background noise. Moving forward, we will manipulate other parameters affecting object formation and observe their affect on speech perception in noise.

Listening Effort Through Depth of Processing in School-Age Children.

A reliable and practical measure of listening effort is crucial in the aural rehabilitation of children with communication disorders. In this article, we propose a novel behavioral paradigm designed to measure listening effort in school-age children based on different depths and levels of verbal processing. The paradigm consists of a classic word recognition task performed in quiet and in noise coupled to one of three additional tasks asking the children to judge the color of simple pictures or a certain semantic category of the presented words. The response time (RT) from the categorization tasks is considered the primary indicator of listening effort. The listening effort paradigm was evaluated in a group of 31 normal-hearing, normal-developing children 7 to 12 years of age. A total of 146 Dutch nouns were selected for the experiment after surveying 14 local Dutch-speaking children. Windows-based custom software was developed to administer the behavioral paradigm from a conventional laptop computer. A separate touch screen was used as a response interface to gather the RT data from the participants. Verbal repetition of each presented word was scored by the tester and a percentage-correct word recognition score (WRS) was calculated for each condition. Randomized lists of target words were presented in one of three signal to noise ratios (SNR) to examine the effect of background noise on the two outcome measures of WRS and RT. Three novel categorization tasks, each corresponding to a different depth or elaboration level of semantic processing, were developed to examine the effect of processing level on either WRS or RT. It was hypothesized that, while listening effort as measured by RT would be affected by both noise and processing level, WRS performance would be affected by changes in noise level only. The RT measure was also hypothesized to increase more from an increase in noise level in categorization conditions demanding a deeper or more elaborate form of semantic processing. There was a significant effect of SNR level on school-age children's WRS: their word recognition performance tended to decrease with increasing background noise level. However, depth of processing did not seem to affect WRS. Moreover, a repeated-measure analysis of variance fitted to transformed RT data revealed that this measure of listening effort in normal-hearing school-age children was significantly affected by both SNR level and the depth of semantic processing. There was no significant interaction between noise level and the type of categorization task with regard to RT. The observed patterns of WRS and RT supported the hypotheses regarding the effects of background noise and depth of processing on word recognition performance and a behavioral measure of listening effort. The magnitude of noise-induced change in RT did not differ between categorization tasks, however. Our findings point to future research directions regarding the potential effects of age, working memory capacity, and cross-modality interaction when measuring listening effort in different levels of semantic processing.

Heidelberg Neuro-Music Therapy Enhances Task-Negative Activity in Tinnitus Patients.

Background: Suffering from tinnitus causes mental distress in most patients. Recent findings point toward a diminished activity of the brain's default-mode network (DMN) in subjects with mental disorders including depression or anxiety and also recently in subjects with tinnitus-related distress. We recently developed a therapeutic intervention, namely the Heidelberg Neuro-Music Therapy (HNMT), which shows an effective reduction of tinnitus-related distress following a 1-week short-term treatment. This approach offers the possibility to evaluate the neural changes associated with the improvements in tinnitus distress. We previously reported gray matter (GM) reorganization in DMN regions and in primary auditory areas following HNMT in cases of recent-onset tinnitus. Here we evaluate on the same patient group, using functional MRI (fMRI), the activity of the DMN following the improvements tinnitus-related distress related to the HNMT intervention.Methods: The DMN activity was estimated by the task-negative activation (TNA) during long inter-trial intervals in a word recognition task. The level of TNA was evaluated twice, before and after the 1-week study period, in 18 treated tinnitus patients (“treatment group,” TG), 21 passive tinnitus controls (PTC), and 22 active healthy controls (AC). During the study, the participants in TG and AC groups were treated with HNMT, whereas PTC patients did not receive any tinnitus-specific treatment. Therapy-related effects on DMN activity were assessed by comparing the pairs of fMRI records from the TG and PTC groups.Results: Treatment of the TG group with HNMT resulted in an augmented DMN activity in the PCC by 2.5% whereas no change was found in AC and PTC groups. This enhancement of PCC activity correlated with a reduction in tinnitus distress (Spearman Rho: −0.5; p < 0.005).Conclusion: Our findings show that an increased DMN activity, especially in the PCC, underlies the improvements in tinnitus-related distress triggered by HNMT and identify the DMN as an important network involved in therapeutic improvements.

MEG language lateralization in partial epilepsy using dSPM of auditory event-related fields.

Methods employed to determine hemispheric language dominance using magnetoencephalography (MEG) have differed significantly across studies in the choice of language-task, the nature of the physiological response studied, recording hardware, and source modeling methods. Our goal was to determine whether an analysis based on distributed source modeling can replicate the results of prior studies that have used dipole-modeling of event-related fields (ERFs) generated by an auditory word-recognition task to determine language dominance in patients with epilepsy. We analyzed data from 45 adult patients with drug-resistant partial epilepsy who performed an auditory word-recognition task during MEG recording and also completed a language fMRI study as part of their evaluation for epilepsy surgery. Source imaging of auditory ERFs was performed using dynamic statistical parametric mapping (dSPM). Language laterality indices (LIs) were calculated for four regions of interest (ROIs) by counting above-threshold activations within a 300-600ms time window after stimulus onset. Language laterality (LL) classifications based on these LIs were compared to the results from fMRI. The most lateralized MEG responses to language stimuli were observed in a parietal region that included the angular and supramarginal gyri (AngSmg). In this region, using a half-maximal threshold, source activations were left dominant in 32 (71%) patients, right dominant in 8 (18%), and symmetric in 5 patients (11%). The best agreement between MEG and fMRI on the ternary classification of regional language dominance into left, right, or symmetric groups was also found at the AngSmg ROI (69%). This was followed by the whole-hemisphere and temporal ROIs (both 62%). The frontal ROI showed the least agreement with fMRI (51%). Gross discordances between MEG and FMRI findings were disproportionately of the type where MEG favored atypical right-hemispheric language in a patient with right-hemispheric seizure origin (p<0.05 at three of the four ROIs). In a parietal region that includes the angular and supramarginal gyri, language laterality estimates based on dSPM of ERFs during auditory word-recognition shows a degree of MEG-fMRI concordance that is comparable to previously published estimates for MEG-Wada concordance using dipole counting methods and the same task. Our data also suggest that MEG language laterality estimates based on this task may be influenced by the laterality of epileptic networks in some patients. This has not been reported previously and deserves further study.

Memory-guided force control in healthy younger and older adults.

Successful performance of a memory-guided motor task requires participants to store and then recall an accurate representation of the motor goal. Further, participants must monitor motor output to make adjustments in the absence of visual feedback. The goal of this study was to examine memory-guided grip force in healthy younger and older adults and compare it to performance on behavioral tasks of working memory. Previous work demonstrates that healthy adults decrease force output as a function of time when visual feedback is not available. We hypothesized that older adults would decrease force output at a faster rate than younger adults, due to age-related deficits in working memory. Two groups of participants, younger adults (YA: N=32, mean age 21.5years) and older adults (OA: N=33, mean age 69.3years), completed four 20-s trials of isometric force with their index finger and thumb, equal to 25% of their maximum voluntary contraction. In the full-vision condition, visual feedback was available for the duration of the trial. In the no vision condition, visual feedback was removed for the last 12s of each trial. Participants were asked to maintain constant force output in the absence of visual feedback. Participants also completed tasks of word recall and recognition and visuospatial working memory. Counter to our predictions, when visual feedback was removed, younger adults decreased force at a faster rate compared to older adults and the rate of decay was not associated with behavioral performance on tests of working memory.

There are no language switching costs when codeswitching is frequent

Aims and Objectives/Purpose/Research Questions: There is ongoing discussion as to the cost of language switching, with some studies indicating high cost and others showing low or no cost. The main research question in this paper is whether there are language switching costs in communities in which codeswitching is frequent. Design/Methodology/Approach: We conducted two on-line experiments, that is, a picture choice with sentence auditory stimuli and a word recognition task in sentence context. We constructed 16 sentences with differing degrees of ecological validity (16 sentences × 4 versions = 64). The sentences included verbs with different language preferences in natural conversations (first language (L1), second language (L2) or both). Data and Analysis: Thirty-seven simultaneous L1-Romani L2-Turkish bilinguals participated in Experiment 1 and 49 in Experiment 2. To analyse the results, linear mixed models (lmer) were constructed using the ‘lme4’ package in R. Findings/Conclusions: In Experiment 1, participants responded significantly faster for the all-Turkish sentences, followed by the mixed Romani-Turkish sentences, and the two types of ecologically non-valid sentences. However, there were no processing costs for the mixed sentences when they contained Turkish verbs that are more frequently used in Turkish in the spontaneous conversations. In Experiment 2, reaction times were similar for Turkish verbs (with Turkish verb morphology) in a mixed Romani-Turkish or a unilingual Turkish sentence. Originality: Taken together, these findings indicate that language switching costs in comprehension depend on the frequency of codeswitching in the bilingual community, as well as on exposure to specific lexical items. Significance/Implications: The Romani-Turkish data support a usage-based approach to bilingual processing and confirm the need to conduct experimental research that takes into account the communicational habits of the participants.

Improving speech recognition in noise through speaking style modifications for native and non-native listeners

It is well established that native listeners outperform non-native listeners on word recognition tasks involving both speech-shaped noise (SSN) and competing speech (speech babble). The present study examined whether this non-native disadvantage can be compensated for by speaking style enhancements. We also explored how these acoustic-articulatory modifications interact with energetic and informational masking at different signal-to-noise ratios to determine intelligibility for the two listener groups. Native and non-native participants heard noise-adapted (NAS) and clear speech (CL) sentences mixed with either SSN, two-talker (2T), or six-talker (6T) babble. CL and NAS significantly improved word recognition in noise, but native listeners were better able to use the intelligibility-enhancing modifications. Results revealed an interaction between noise type and SNR such that the intelligibility gain was larger for SSN at an easier SNR, but for 6T babble at a harder SNR. The speaking style modifications en...

Facilitatory Effects of Multi-Word Units in Lexical Processing and Word Learning: A Computational Investigation.

Previous studies have suggested that children and adults form cognitive representations of co-occurring word sequences. We propose (1) that the formation of such multi-word unit (MWU) representations precedes and facilitates the formation of single-word representations in children and thus benefits word learning, and (2) that MWU representations facilitate adult word recognition and thus benefit lexical processing. Using a modified version of an existing computational model (McCauley and Christiansen, 2014), we extract MWUs from a corpus of child-directed speech (CDS) and a corpus of conversations among adults. We then correlate the number of MWUs within which each word appears with (1) age of first production and (2) adult reaction times on a word recognition task. In doing so, we take care to control for the effect of word frequency, as frequent words will naturally tend to occur in many MWUs. We also compare results to a baseline model which randomly groups words into sequences—and find that MWUs have a unique facilitatory effect on both response variables, suggesting that they benefit word learning in children and word recognition in adults. The effect is strongest on age of first production, implying that MWUs are comparatively more important for word learning than for adult lexical processing. We discuss possible underlying mechanisms and formulate testable predictions.

Verbal short-term memory and language impairments in Cantonese speakers after stroke

Purpose: The study examined the relationship between verbal short-term memory (STM) and language impairment in Cantonese speakers after stroke. It is hypothesised that Cantonese speakers with left-hemisphere (LH) stroke would perform worse than those with right hemisphere (RH) stroke and normal controls. Specific linguistic factors of Cantonese might affect results in the tasks.Method: Fifteen participants with LH stroke, 10 with RH stroke and 25 healthy controls were tested with auditory–verbal immediate serial recall (ISR) tasks and auditory linguistic tasks. All stroke participants were assessed with the Cantonese version of Western Aphasia Battery (CAB).Result: The LH group performed significantly worse than the RH and healthy control groups in the auditory verbal ISR and auditory linguistic tasks. There were significant lexicality, frequency and imageability effects in most tasks. Auditory discrimination and word comprehension tasks, but not the auditory word recognition task had correlations with ISR tasks.Conclusion: Verbal STM and language performance of Cantonese-speakers with history of LH stroke were inferior to RH stroke and healthy controls. The effects of lexicality, word frequency and imageability on verbal STM memory performance were found. Cantonese tones have effects on performance in auditory word recognition task, similar to onset, nucleus and rime.

Set-Congruent Priming Stimuli Normalize the Information Processing of Psychopathic Offenders

Psychopathic individuals display characteristic deficits in processing emotion cues, the abstract meaning of words, and peripheral inhibitory cues, that have been linked to deficits in self-regulation and antisocial behavior. One view, supported by recent research, is that psychopathic individuals have difficulty processing set-incongruent information and that their difficulty may be ameliorated using task manipulations that establish a set-relevant focus of attention. We evaluated this characterization of the psychopathic deficit using a lexical decision (i.e., word recognition) task and priming manipulation that caused target stimuli to be set-congruent or set-incongruent. As predicted, low-anxious (i.e., primary) psychopathic participants displayed a significantly greater priming effect than low anxious non-psychopathic participants. The results highlight the potential value of priming relevant cognitive sets to overcome the costly information processing deficits associated with psychopathy. Treatment efforts emphasizing a balance of attention between primary and peripheral information may prove especially effective for reducing maladaptive behavior in psychopathic individuals.

Phonological-orthographic consistency for Japanese words and its impact on visual and auditory word recognition.

In most models of word processing, the degrees of consistency in the mappings between orthographic, phonological, and semantic representations are hypothesized to affect reading time. Following Hino, Miyamura, and Lupker's (2011) examination of the orthographic-phonological (O-P) and orthographic-semantic (O-S) consistency for 1,114 Japanese words (339 katakana and 775 kanji words), in the present research, we initially attempted to measure the phonological-orthographic (P-O) consistency for those same words. In contrast to the O-P and O-S consistencies, which were equivalent for kanji and katakana words, the P-O relationships were much more inconsistent for the kanji words than for the katakana words. The impact of kanji words' P-O consistency was then examined in both visual and auditory word recognition tasks. Although there was no effect of P-O consistency in the standard visual lexical-decision task, significant effects were detected in a lexical-decision task with auditory stimuli, in a perceptual identification task using masked visual stimuli, and in a lexical-decision task with degraded visual stimuli. The implications of these results are discussed in terms of the impact of P-O consistency in auditory and visual word recognition. (PsycINFO Database Record

Auditory Training With Multiple Talkers and Passage-Based Semantic Cohesion

Current auditory training methods typically result in improvements to speech recognition abilities in quiet, but learner gains may not extend to other domains in speech (e.g., recognition in noise) or self-assessed benefit. This study examined the potential of training involving multiple talkers and training emphasizing discourse-level top-down processing to produce more generalized learning. Normal-hearing participants (N = 64) were randomly assigned to 1 of 4 auditory training protocols using noise-vocoded speech simulating the processing of an 8-channel cochlear implant: sentence-based single-talker training, training with 24 different talkers, passage-based transcription training, and a control (transcribing unvocoded sentence materials). In all cases, participants completed 2 pretests under cochlear implant simulation, 1 hr of training, and 5 posttests to assess perceptual learning and cross-context generalization. Performance above the control was seen in all 3 experimental groups for sentence recognition in quiet. In addition, the multitalker training method generalized to a context word-recognition task, and the passage training method caused gains in sentence recognition in noise. The gains of the multitalker and passage training groups over the control suggest that, with relatively small modifications, improvements to the generalized outcomes of auditory training protocols may be possible.

Whispered speech recognition using deep denoising autoencoder

Recently Deep Denoising Autoencoders (DDAE) have shown state-of-the-art performance on various machine learning tasks. In this paper, the authors extended this approach to whispered speech recognition which is one of the most challenging problems in Automatic Speech Recognition (ASR). Namely, due to the profound differences between acoustic characteristics of neutral and whispered speech, the performance of traditional ASR systems trained on neutral speech degrades significantly when whisper is applied. This mismatch between training and testing is successfully alleviated with the new proposed system based on deep learning, where DDAE is applied for generating whisper-robust cepstral features. This system was tested and compared in terms of word recognition accuracy with conventional Hidden Markov Model (HMM) speech recognizer in an isolated word recognition task with a real database of whispered speech (WhiSpe). Three types of cepstral coefficients were used in the experiments: MFCC (Mel-Frequency Cepstral Coefficients), TECC (Teager-Energy Cepstral Coefficients) and TEMFCC (Teager-based Mel-Frequency Cepstral Coefficients). The experimental results showed that the proposed system significantly improves whisper recognition accuracy and outperforms traditional HMM-MFCC baseline, resulting in an absolute 31% improvement of whisper recognition accuracy. The highest word recognition rate of 92.81% in whispered speech was achieved with TECC feature.

Understanding Risk for Reading Difficulties in Children With Language Impairment.

The purpose of this study was to retrospectively examine the preschool language and early literacy skills of kindergarten good and poor readers, and to determine the extent to which these skills predict reading status. Participants were 136 children with language impairment enrolled in early childhood special education classrooms. On the basis of performance on a word recognition task given in kindergarten, children were classified as either good or poor readers. Comparisons were made across these 2 groups on a number of language and early literacy measures administered in preschool, and logistic regression was used to determine the best predictors of kindergarten reading status. Twenty-seven percent of the sample met criterion for poor reading in kindergarten. These children differed from good readers on most of the skills measured in preschool. The best predictors of kindergarten reading status were oral language, alphabet knowledge, and print concept knowledge. Presence of comorbid disabilities was not a significant predictor. Classification accuracy was good overall. Results suggest that risk of reading difficulty for children with language impairment can be reliably estimated in preschool, prior to the onset of formal reading instruction. Measures of both language and early literacy skills are important for identifying which children are likely to develop later reading difficulties.

Visual Word Recognition Study on Bilingual Groups of Odisha

AbstractThe current study examined how emotional and neutral words affected during visual word recognition task. The test is measured with two different bilingual groups; Group A (SO) Santali first language (L1), Odia second language (L2) and Group B (OS) Odia first language (L1), Santali second language (L2). These two groups are considered as subject of the experiment. The test was conducted with two different languages (Santali and Odia).The multivariate ANOVA technique was used to analyze the data generated from experiment for two dependent variables namely, recognition accuracy (RA) and response latency (RL).The factors considered in the ANOVA are visual field (VF) (LVF- Left visual field, RVF- Right visual field), stimulus content (SC) (EW-emotional word, NW- neutral word), word type (WT) (SW- Santali word, OW- Odia word), and presentation mode (PM) (unilateral, bilateral). The result of this study show emotional stimuli were better recognized in LVF than RVF. Unilaterally presented words were significantly better recognized than bilaterally presented words.

Recognition of foreign-accented words in isolation

Foreign-accented speech presents a challenge for native speakers of a given language. When presented with foreign-accented speech, native speakers tend to rely heavily on context and other lexical cues. When processing isolated spoken words, participants do not have access to contextual cues and have to rely solely on acoustic cues. Thus, processing accented spoken words in isolation might be a bigger challenge. We tested the hypothesis that identification accuracies by native speakers of American English of two foreign-accented speakers with different accent strengths will not differ in isolated spoken word recognition task. Ten native speakers of American English rated the accent of a Chinese-accented (heavy accent) and a Korean-accented (moderate accent) speakers after hearing a small passage read by both speakers. Different set of native speakers of American English heard a list of isolated words spoken by both speakers and had to type what they had heard. Overall, participants did not differ in their...

Dimension-Based Statistical Learning Affects Both Speech Perception and Production.

Multiple acoustic dimensions signal speech categories. However, dimensions vary in their informativeness; some are more diagnostic of category membership than others. Speech categorization reflects these dimensional regularities such that diagnostic dimensions carry more "perceptual weight" and more effectively signal category membership to native listeners. Yet perceptual weights are malleable. When short-term experience deviates from long-term language norms, such as in a foreign accent, the perceptual weight of acoustic dimensions in signaling speech category membership rapidly adjusts. The present study investigated whether rapid adjustments in listeners' perceptual weights in response to speech that deviates from the norms also affects listeners' own speech productions. In a word recognition task, the correlation between two acoustic dimensions signaling consonant categories, fundamental frequency (F0) and voice onset time (VOT), matched the correlation typical of English, and then shifted to an "artificial accent" that reversed the relationship, and then shifted back. Brief, incidental exposure to the artificial accent caused participants to down-weight perceptual reliance on F0, consistent with previous research. Throughout the task, participants were intermittently prompted with pictures to produce these same words. In the block in which listeners heard the artificial accent with a reversed F0×VOT correlation, F0 was a less robust cue to voicing in listeners' own speech productions. The statistical regularities of short-term speech input affect both speech perception and production, as evidenced via shifts in how acoustic dimensions are weighted.

An English Word Database of EMOtional TErms (EMOTE).

Research in the socio-emotional domain may require words for experimental settings rated on emotionally and socially relevant word characteristics (e.g., valence and desirability). In addition, cognitively relevant word characteristics (e.g., imagery) are important for research in the interface of emotion and cognition (e.g., emotional memory). To provide researchers with a corresponding word pool, the database of English EMOtional TErms (EMOTE) provides subjective ratings for 1287 nouns and 985 adjectives. Nouns and adjectives were rated on valence, arousal, emotionality, concreteness, imagery, familiarity, and clarity of meaning. In addition, adjectives were rated on control, desirability, and likeableness. EMOTE norms provide an easily accessible word pool for research in the socio-emotional domain. To illustrate the usefulness of this database, norms were linked to memorability scores from a word recognition task for EMOTE nouns. The database as well as future directions are discussed.

Semantic Neighborhood Effects for Abstract versus Concrete Words.

Studies show that semantic effects may be task-specific, and thus, that semantic representations are flexible and dynamic. Such findings are critical to the development of a comprehensive theory of semantic processing in visual word recognition, which should arguably account for how semantic effects may vary by task. It has been suggested that semantic effects are more directly examined using tasks that explicitly require meaning processing relative to those for which meaning processing is not necessary (e.g., lexical decision task). The purpose of the present study was to chart the processing of concrete versus abstract words in the context of a global co-occurrence variable, semantic neighborhood density (SND), by comparing word recognition response times (RTs) across four tasks varying in explicit semantic demands: standard lexical decision task (with non-pronounceable non-words), go/no-go lexical decision task (with pronounceable non-words), progressive demasking task, and sentence relatedness task. The same experimental stimulus set was used across experiments and consisted of 44 concrete and 44 abstract words, with half of these being low SND, and half being high SND. In this way, concreteness and SND were manipulated in a factorial design using a number of visual word recognition tasks. A consistent RT pattern emerged across tasks, in which SND effects were found for abstract (but not necessarily concrete) words. Ultimately, these findings highlight the importance of studying interactive effects in word recognition, and suggest that linguistic associative information is particularly important for abstract words.