Domain-general mechanism relationship with non-canonical sentence comprehension

2021 ◽  
Author(s):  
Samuel El Bouzaïdi Tiali ◽  
Anna Borne ◽  
Lucile Meunier ◽  
Monica Bolocan ◽  
Monica Baciu ◽  
...  
Keyword(s):  
Cognitive Control ◽  
Sentence Processing ◽  
Language Comprehension ◽  
Oral Language ◽  
Sentence Comprehension ◽  
Task Demands ◽  
General Mechanism ◽  
Control Mechanisms ◽  
Complex Sentence ◽  
Negative Sentence

Purpose: Canonical sentence structures are the most frequently used in a given language. Less frequent or non-canonical sentences tend to be more challenging to process and to induce a higher cognitive load. To deal with this complexity several authors suggest that not only linguistic but also non-linguistic (domain-general) mechanisms are involved. In this study, we were interested in evaluating the relationship between non-canonical oral sentence comprehension and individual cognitive control abilities.Method: Participants were instructed to perform a sentence-picture verification task with canonical and non-canonical sentences. Sentence structures (i.e., active or passive) and sentence types (i.e., affirmative or negative) were manipulated. Furthermore, each participant performed four cognitive control tasks measuring inhibitory processes, updating in working memory, flexibility and sustained attention. We hypothesized that more complex sentence structures would induce a cognitive cost reflecting involvement of additional processes, and also that this additional cost should be related with cognitive control performances.Results: Results showed better performances for canonical sentences compared to non-canonical ones supporting previous work on passive and negative sentence processing. Correlation results suggest a close relationship between cognitive control mechanisms and non-canonical sentence processing.Conclusion: This study adds evidence for the hypothesis of a domain-general mechanism implication during oral language comprehension and highlights the importance of taking task demands into consideration when exploring language comprehension mechanisms.

Language and the Aging Brain: Patterns of Neural Compensation Revealed by Functional Brain Imaging

2006 ◽  
Vol 96 (6) ◽  
pp. 2830-2839 ◽  
Author(s):  
Arthur Wingfield ◽  
Murray Grossman
Keyword(s):  
Sentence Processing ◽  
Language Comprehension ◽  
Sentence Comprehension ◽  
Brain Regions ◽  
Functional Brain Imaging ◽  
Sensory Function ◽  
Component Model ◽  
Aging Brain ◽  
Two Component ◽  
General Slowing

Human aging brings with it declines in sensory function, both in vision and in hearing, as well as a general slowing in a variety of perceptual and cognitive operations. Yet in spite of these declines, language comprehension typically remains well preserved in normal aging. We review data from functional magnetic resonance imaging (fMRI) to describe a two-component model of sentence comprehension: a core sentence-processing area located in the perisylvian region of the left cerebral hemisphere and an associated network of brain regions that support the working memory and other resources needed for comprehension of long or syntactically complex sentences. We use this two-component model to describe the nature of compensatory recruitment of novel brain regions observed when healthy older adults show the same success at comprehending sentences as their younger adult counterparts. We suggest that this plasticity in neural recruitment contributes to the stability of language comprehension in the aging brain.

scholarly journals Co-localization of Stroop and Syntactic Ambiguity Resolution in Broca's Area: Implications for the Neural Basis of Sentence Processing

2009 ◽  
Vol 21 (12) ◽  
pp. 2434-2444 ◽  
Author(s):  
David January ◽  
John C. Trueswell ◽  
Sharon L. Thompson-Schill
Keyword(s):  
Prefrontal Cortex ◽  
Cognitive Control ◽  
Language Processing ◽  
Sentence Processing ◽  
Sentence Comprehension ◽  
Syntactic Ambiguity ◽  
Broca’S Area ◽  
Broca's Area ◽  
Neural Basis ◽  
Control Processes

For over a century, a link between left prefrontal cortex and language processing has been accepted, yet the precise characterization of this link remains elusive. Recent advances in both the study of sentence processing and the neuroscientific study of frontal lobe function suggest an intriguing possibility: The demands to resolve competition between incompatible characterizations of a linguistic stimulus may recruit top–down cognitive control processes mediated by prefrontal cortex. We use functional magnetic resonance imaging to test the hypothesis that individuals use shared prefrontal neural circuitry during two very different tasks—color identification under Stroop conflict and sentence comprehension under conditions of syntactic ambiguity—both of which putatively rely on cognitive control processes. We report the first demonstration of within-subject overlap in neural responses to syntactic and nonsyntactic conflict. These findings serve to clarify the role of Broca's area in, and the neural and psychological organization of, the language processing system.

scholarly journals The domain-general multiple demand (MD) network does not support core aspects of language comprehension: a large-scale fMRI investigation

2019 ◽  
Author(s):  
Evgeniia Diachek ◽  
Idan Blank ◽  
Matthew Siegelman ◽  
Josef Affourtit ◽  
Evelina Fedorenko
Keyword(s):  
Working Memory ◽  
Left Hemisphere ◽  
Language Processing ◽  
Language Comprehension ◽  
Large Scale ◽  
Sentence Comprehension ◽  
Task Demands ◽  
Using Data ◽  
Network Language ◽  
Temporal Language

AbstractAside from the language-selective left-lateralized fronto-temporal network, language comprehension sometimes additionally recruits a domain-general bilateral fronto-parietal network implicated in executive functions: the multiple demand (MD) network. However, the nature of the MD network’s contributions to language comprehension remains debated. To illuminate the role of this network in language processing, we conducted a large-scale fMRI investigation using data from 30 diverse word and sentence comprehension experiments (481 unique participants, 678 scanning sessions). In line with prior findings, the MD network was active during many language tasks. Moreover, similar to the language-selective network, which is robustly lateralized to the left hemisphere, these responses were stronger in the left-hemisphere MD regions. However, in stark contrast with the language-selective network, the MD network responded more strongly (i) to lists of unconnected words than to sentences, and critically, (ii) in paradigms with an explicit task compared to passive comprehension paradigms. In fact, many passive comprehension tasks failed to elicit a response above the fixation baseline in the MD network, in contrast to strong responses in the language-selective network. In tandem, these results argue against a role for the MD network in core aspects of sentence comprehension like inhibiting irrelevant meanings or parses, keeping intermediate representations active in working memory, or predicting upcoming words or structures. These results align with recent evidence of relatively poor tracking of the linguistic signal by the MD regions during naturalistic comprehension, and instead suggest that the MD network’s engagement during language processing likely reflects effort associated with extraneous task demands.Significance StatementDomain-general executive processes, like working memory and cognitive control, have long been implicated in language comprehension, including in neuroimaging studies that have reported activation in domain-general multiple demand (MD) regions for linguistic manipulations. However, much prior evidence has come from paradigms where language interpretation is accompanied by extraneous tasks. Using a large fMRI dataset (30 experiments/481 participants/678 sessions), we demonstrate that MD regions are engaged during language comprehension in the presence of task demands, but not during passive reading/listening—conditions that strongly activate the fronto-temporal language network. These results present a fundamental challenge to proposals whereby linguistic computations, like inhibiting irrelevant meanings, keeping representations active in working memory, or predicting upcoming elements, draw on domain-general executive resources.

scholarly journals Cognitive Control and Discourse Comprehension in Schizophrenia

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Megan A. Boudewyn ◽  
Cameron S. Carter ◽  
Tamara Y. Swaab
Keyword(s):  
Cognitive Control ◽  
Language Processing ◽  
Language Comprehension ◽  
Control Mechanisms ◽  
Discourse Comprehension ◽  
General Control ◽  
Healthy Human ◽  
Conflicting Information ◽  
Control Functions ◽  
Wide Range

Cognitive deficits across a wide range of domains have been consistently observed in schizophrenia and are linked to poor functional outcome (Green, 1996; Carter, 2006). Language abnormalities are among the most salient and include disorganized speech as well as deficits in comprehension. In this review, we aim to evaluate impairments of language processing in schizophrenia in relation to a domain-general control deficit. We first provide an overview of language comprehension in the healthy human brain, stressing the role of cognitive control processes, especially during discourse comprehension. We then discuss cognitive control deficits in schizophrenia, before turning to evidence suggesting that schizophrenia patients are particularly impaired at processing meaningful discourse as a result of deficits in control functions. We conclude that domain-general control mechanisms are impaired in schizophrenia and that during language comprehension this is most likely to result in difficulties during the processing of discourse-level context, which involves integrating and maintaining multiple levels of meaning. Finally, we predict that language comprehension in schizophrenia patients will be most impaired during discourse processing. We further suggest that discourse comprehension problems in schizophrenia might be mitigated when conflicting information is absent and strong relations amongst individual words are present in the discourse context.

scholarly journals A new argument for co-active parses during language comprehension

2017 ◽  
Author(s):  
Brian Dillon ◽  
Caroline Andrews ◽  
Caren M. Rotello ◽  
Matthew Wagers
Keyword(s):  
Sentence Processing ◽  
Language Comprehension ◽  
Sentence Comprehension ◽  
Judgment Task ◽  
Theoretic Approach ◽  
Ambiguity Advantage ◽  
Linguistic Input ◽  
Acceptability Judgments ◽  
Human Sentence Processing ◽  
Processing Mechanism

One perennially important question for theories of sentence comprehension is whether the human sentence processing mechanism is parallel (i.e. it simultaneously represents multiple syntactic analyses of linguistic input) or serial (i.e. it constructs only a single analysis at a time). Despite its centrality, this question has proven difficult to address for both theoretical and methodological reasons (Gibson & Pearlmutter, 2000; Lewis, 2000). In the present study, we reassess this question from a novel perspective. We investigated the well-known ambiguity advantage effect (Traxler, Pickering & Clifton, 1998) in a speeded acceptability judgment task. We adopted a Signal Detection Theoretic approach to these data, with the goal of determining whether speeded judgment responses were conditioned on one or multiple syntactic analyses. To link these results to incremental parsing models, we developed formal models to quantitatively evaluate how serial and parallel parsing models should impact perceived sentence acceptability in our task. Our results suggest that speeded acceptability judgments are jointly conditioned on multiple parses of the input, a finding that is overall more consistent with parallel parsing models than serial models. Our study thus provides a new, psychophysical argument for co-active parses during language comprehension.

scholarly journals fMRI reveals language-specific predictive coding during naturalistic sentence comprehension

2019 ◽  
Author(s):  
Cory Shain ◽  
Idan Asher Blank ◽  
Marten van Schijndel ◽  
William Schuler ◽  
Evelina Fedorenko
Keyword(s):  
Hierarchical Structure ◽  
Language Processing ◽  
Sentence Processing ◽  
Executive Control ◽  
Sentence Comprehension ◽  
Predictive Coding ◽  
Control Mechanisms ◽  
Hemodynamic Response Function ◽  
Domain Specific ◽  
Language Network

AbstractMuch research in cognitive neuroscience supports prediction as a canonical computation of cognition across domains. Is such predictive coding implemented by feedback from higher-order domain-general circuits, or is it locally implemented in domain-specific circuits? What information sources are used to generate these predictions? This study addresses these two questions in the context of language processing. We present fMRI evidence from a naturalistic comprehension paradigm (1) that predictive coding in the brain’s response to language is domain-specific, and (2) that these predictions are sensitive both to local word co-occurrence patterns and to hierarchical structure. Using a recently developed continuous-time deconvolutional regression technique that supports data-driven hemodynamic response function discovery from continuous BOLD signal fluctuations in response to naturalistic stimuli, we found effects of prediction measures in the language network but not in the domain-general multiple-demand network, which supports executive control processes and has been previously implicated in language comprehension. Moreover, within the language network, surface-level and structural prediction effects were separable. The predictability effects in the language network were substantial, with the model capturing over 37% of explainable variance on held-out data. These findings indicate that human sentence processing mechanisms generate predictions about upcoming words using cognitive processes that are sensitive to hierarchical structure and specialized for language processing, rather than via feedback from high-level executive control mechanisms.

Verbal short-term memory and sentence comprehension in German children and adolescents with Down syndrome: Beware of the task

2020 ◽  
Vol 40 (4) ◽  
pp. 367-389 ◽  
Author(s):  
Martina Penke ◽  
Eva Wimmer
Keyword(s):  
Down Syndrome ◽  
Sentence Comprehension ◽  
Short Term Memory ◽  
Memory Systems ◽  
Significant Degree ◽  
Task Demands ◽  
Complex Sentence ◽  
Short Term ◽  
Term Memory ◽  
Scaling Analyses

In individuals with Down syndrome (DS) deficits in verbal short-term memory (VSTM) and deficits in sentence comprehension co-occur, suggesting that deficits in VSTM might be causal for the deficits in sentence comprehension. The present study aims to explore the presumed relationship between VSTM and sentence comprehension in individuals with DS by specifically targeting the influence of task demands. The authors assessed VSTM skills in 18 German-speaking children/adolescents with DS by a nonword repetition (NWR) test and elicited data from three different tasks on the comprehension of complex sentence structures: two sentence-picture-matching tasks (TROG-D and a passive test) and one picture-pointing task on object wh-questions. Whereas performance in NWR yielded a significant degree of prediction for scores obtained in the TROG-D and in passive comprehension, no significant degree of prediction was found for NWR and object wh-question comprehension. Moreover, implicational scaling analyses indicated that mental-age adequate performance in sentence comprehension did not imply adequate performance in NWR. Research is needed that specifies the relation between memory systems and sentence comprehension while considering the influence of task demands.

Auditory sentence processing in bilinguals: The role of cognitive control

2020 ◽  
Author(s):  
Niloofar Akhavan ◽  
Henrike Blumenfeld ◽  
Tracy Love
Keyword(s):  
Cognitive Control ◽  
Real Time ◽  
Sentence Processing ◽  
Time Course ◽  
Control Measures ◽  
Direct Object ◽  
Complex Sentence ◽  
Real Time Processing ◽  
The Real ◽  
Garden Path

A number of research studies have shown that the unique need in bilinguals to manage both of their languages positively impacts their cognitive control processes. Yet, due to a dearth of studies at the sentence level, it is still unclear if this benefit extends to sentence processing. In monolinguals and bilinguals, cognitive control helps in reinterpretation of garden path sentences but it is still unknown how it supports the real-time resolution of interference during parsing, such as the type of interference seen in the processing of object relative (OR) sentences. In this study, we compared monolinguals and bilinguals during online spoken OR sentence processing and examined if both groups used cognitive control to resolve interference. In this eye-tracking visual world (ETL-vw) study, OR sentences were aurally presented to 19 monolingual and 21 English-Spanish bilingual adults while gaze patterns were captured throughout the time course of the sentence. Of particular interest was the post-verb position, where the listener connects the verb to its direct object. In OR constructions (e.g., “The man that the boy pushes__ has a red shirt.”), the verb (‘pushes’) links to its syntactically licensed direct object (‘the man’) at verb offset. During syntactic linking, the parser crosses over an intervening noun phrase (NP, ‘the boy’) and the two NP activations create interference. The nature of this paradigm allows us to measure interference and its resolution between the intervening NP and the displaced object in real-time. By relating sentence processing patterns with cognitive control measures, high- and no- conflict N-Back tasks, we investigated group differences in the use of cognitive control during sentence processing. Overall, bilinguals showed less interference than monolinguals from the intervening NP during the real time processing of OR sentences. This interference effect and its resolution was significantly predicted by cognitive control skills for bilingual, but not monolingual listeners. This enhanced effect in bilinguals extends previous findings of interference resolution to real time spoken sentence processing suggesting that bilinguals are more efficient than monolinguals at managing interference during complex sentence processing.

scholarly journals Agreement errors are predicted by rational inference in sentence processing

2021 ◽  
Author(s):  
Rachel Anna Ryskin ◽  
Leon Bergen ◽  
Edward Gibson
Keyword(s):  
Bayesian Inference ◽  
Sentence Processing ◽  
Language Comprehension ◽  
Sentence Comprehension ◽  
Noisy Channel ◽  
Noisy Environments ◽  
Environmental Statistics ◽  
Verb Agreement ◽  
Series Of Experiments ◽  
Rational Inference

People are able to understand language in challenging settings which often require them to correct for speaker errors, environmental noise, and perceptual unreliability. To account for these abilities, it has recently been proposed that people are adapted to correct for noise during language comprehension, via rational Bayesian inference. In the present research, we demonstrate that a rational noisy-channel framework for sentence comprehension can account for a well-known phenomenon—subject-verb agreement errors (e.g. The key to the cabinets are…). A series of experiments provides evidence that: a) agreement errors are associated with misrepresentations of the sentence consistent with noisy-channel inferences and b) agreement errors are rationally sensitive to environmental statistics and properties of the noise. These findings support the hypothesis that agreement errors in production result in part from a sentence comprehension mechanism that is adapted to understanding language in noisy environments.

When Hearing Does Not Mean Understanding: On the Neural Processing of Syntactically Complex Sentences by Listeners With Hearing Loss

2021 ◽  
pp. 1-13
Author(s):  
Margreet Vogelzang ◽  
Christiane M. Thiel ◽  
Stephanie Rosemann ◽  
Jochem W. Rieger ◽  
Esther Ruigendijk
Keyword(s):  
Hearing Loss ◽  
Sentence Processing ◽  
Secondary Task ◽  
Sentence Comprehension ◽  
Inferior Frontal Gyrus ◽  
Normal Hearing ◽  
Cognitive Demands ◽  
Sentence Complexity ◽  
Complex Sentences ◽  
And Task

Purpose Adults with mild-to-moderate age-related hearing loss typically exhibit issues with speech understanding, but their processing of syntactically complex sentences is not well understood. We test the hypothesis that listeners with hearing loss' difficulties with comprehension and processing of syntactically complex sentences are due to the processing of degraded input interfering with the successful processing of complex sentences. Method We performed a neuroimaging study with a sentence comprehension task, varying sentence complexity (through subject–object order and verb–arguments order) and cognitive demands (presence or absence of a secondary task) within subjects. Groups of older subjects with hearing loss ( n = 20) and age-matched normal-hearing controls ( n = 20) were tested. Results The comprehension data show effects of syntactic complexity and hearing ability, with normal-hearing controls outperforming listeners with hearing loss, seemingly more so on syntactically complex sentences. The secondary task did not influence off-line comprehension. The imaging data show effects of group, sentence complexity, and task, with listeners with hearing loss showing decreased activation in typical speech processing areas, such as the inferior frontal gyrus and superior temporal gyrus. No interactions between group, sentence complexity, and task were found in the neuroimaging data. Conclusions The results suggest that listeners with hearing loss process speech differently from their normal-hearing peers, possibly due to the increased demands of processing degraded auditory input. Increased cognitive demands by means of a secondary visual shape processing task influence neural sentence processing, but no evidence was found that it does so in a different way for listeners with hearing loss and normal-hearing listeners.

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