Cognitive Neuroscience Of Language Research Articles

Social Brain Perspectives on the Social and Evolutionary Neuroscience of Human Language.

Human language and social cognition are two key disciplines that have traditionally been studied as separate domains. Nonetheless, an emerging view suggests an alternative perspective. Drawing on the theoretical underpinnings of the social brain hypothesis (thesis of the evolution of brain size and intelligence), the social complexity hypothesis (thesis of the evolution of communication), and empirical research from comparative animal behavior, human social behavior, language acquisition in children, social cognitive neuroscience, and the cognitive neuroscience of language, it is argued that social cognition and language are two significantly interconnected capacities of the human species. Here, evidence in support of this view reviews (1) recent developmental studies on language learning in infants and young children, pointing to the important crucial benefits associated with social stimulation for youngsters, including the quality and quantity of incoming linguistic information, dyadic infant/child-to-parent non-verbal and verbal interactions, and other important social cues integral for facilitating language learning and social bonding; (2) studies of the adult human brain, suggesting a high degree of specialization for sociolinguistic information processing, memory retrieval, and comprehension, suggesting that the function of these neural areas may connect social cognition with language and social bonding; (3) developmental deficits in language and social cognition, including autism spectrum disorder (ASD), illustrating a unique developmental profile, further linking language, social cognition, and social bonding; and (4) neural biomarkers that may help to identify early developmental disorders of language and social cognition. In effect, the social brain and social complexity hypotheses may jointly help to describe how neurotypical children and adults acquire language, why autistic children and adults exhibit simultaneous deficits in language and social cognition, and why nonhuman primates and other organisms with significant computational capacities cannot learn language. But perhaps most critically, the following article argues that this and related research will allow scientists to generate a holistic profile and deeper understanding of the healthy adult social brain while developing more innovative and effective diagnoses, prognoses, and treatments for maladies and deficits also associated with the social brain.

Efficient functional localization of language regions in the brain

Important recent advances in the cognitive neuroscience of language have been made using functional localizers to demarcate language-selective regions in individual brains. Although single-subject localizers offer insights that are unavailable in classic group analyses, they require additional scan time that imposes costs on investigators and participants. In particular, the unique practical challenges of scanning children and other special populations has led to less adoption of localizers for neuroimaging research with these theoretically and clinically important groups. Here, we examined how measurements of the spatial extent and functional response profiles of language regions are affected by the duration of an auditory language localizer. We compared how parametrically smaller amounts of data collected from one scanning session affected (i) consistency of group-level whole-brain parcellations, (ii) functional selectivity of subject-level activation in individually defined functional regions of interest (fROIs), (iii) sensitivity and specificity of subject-level whole-brain and fROI activation, and (iv) test-retest reliability of subject-level whole-brain and fROI activation. For many of these metrics, the localizer duration could be reduced by 50-75% while preserving the stability and reliability of both the spatial extent and functional response profiles of language areas. These results indicate that, for most measures relevant to cognitive neuroimaging studies, the brain's language network can be localized just as effectively with 3.5 min of scan time as it can with 12 min. Minimizing the time required to reliably localize the brain's language network allows more effective localizer use in situations where each minute of scan time is particularly precious.

Cleaning up the Brickyard: How Theory and Methodology Shape Experiments in Cognitive Neuroscience of Language.

The capacity for language is a defining property of our species, yet despite decades of research, evidence on its neural basis is still mixed and a generalized consensus is difficult to achieve. We suggest that this is partly caused by researchers defining "language" in different ways, with focus on a wide range of phenomena, properties, and levels of investigation. Accordingly, there is very little agreement among cognitive neuroscientists of language on the operationalization of fundamental concepts to be investigated in neuroscientific experiments. Here, we review chains of derivation in the cognitive neuroscience of language, focusing on how the hypothesis under consideration is defined by a combination of theoretical and methodological assumptions. We first attempt to disentangle the complex relationship between linguistics, psychology, and neuroscience in the field. Next, we focus on how conclusions that can be drawn from any experiment are inherently constrained by auxiliary assumptions, both theoretical and methodological, on which the validity of conclusions drawn rests. These issues are discussed in the context of classical experimental manipulations as well as study designs that employ novel approaches such as naturalistic stimuli and computational modeling. We conclude by proposing that a highly interdisciplinary field such as the cognitive neuroscience of language requires researchers to form explicit statements concerning the theoretical definitions, methodological choices, and other constraining factors involved in their work.

Three conceptual clarifications about syntax and the brain

Linguistic theories offer empirical hypotheses about the architecture of human language, which provide the basis for neurobiological investigations into the study of language use. Unfortunately, progress in linking the two fields of inquiry is hampered because core concepts and ideas from linguistics are not seldom misunderstood, making them controversial and seemingly irrelevant to the neurobiology of language. Here we identify three such proposals: the distinction between competence and performance, the autonomy of syntax, and the abstract nature of syntactic representations. In our view, confusion about these concepts stems from the fact that they are interpreted at a level of analysis different from the level at which they were originally described. We clarify the intended interpretation of these concepts and discuss how they might be contextualized in the cognitive neuroscience of language. By doing so, the discussion about the integration of linguistics and neurobiology of language can move toward a fruitful exploration of linking hypotheses within a multi-level theory of syntax in the brain.

Can You Hear What's Coming? Failure to Replicate ERP Evidence for Phonological Prediction.

Prediction-based theories of language comprehension assume that listeners predict both the meaning and phonological form of likely upcoming words. In alleged event-related potential (ERP) demonstrations of phonological prediction, prediction-mismatching words elicit a phonological mismatch negativity (PMN), a frontocentral negativity that precedes the centroparietal N400 component. However, classification and replicability of the PMN has proven controversial, with ongoing debate on whether the PMN is a distinct component or merely an early part of the N400. In this electroencephalography (EEG) study, we therefore attempted to replicate the PMN effect and its separability from the N400, using a participant sample size (N = 48) that was more than double that of previous studies. Participants listened to sentences containing either a predictable word or an unpredictable word with/without phonological overlap with the predictable word. Preregistered analyses revealed a widely distributed negative-going ERP in response to unpredictable words in both the early (150-250 ms) and the N400 (300-500 ms) time windows. Bayes factor analysis yielded moderate evidence against a different scalp distribution of the effects in the two time windows. Although our findings do not speak against phonological prediction during sentence comprehension, they do speak against the PMN effect specifically as a marker of phonological prediction mismatch. Instead of an PMN effect, our results demonstrate the early onset of the auditory N400 effect associated with unpredictable words. Our failure to replicate further highlights the risk associated with commonly employed data-contingent analyses (e.g., analyses involving time windows or electrodes that were selected based on visual inspection) and small sample sizes in the cognitive neuroscience of language.

SCOPE: The South Carolina psycholinguistic metabase.

The number of databases that provide various measurements of lexical properties for psycholinguistic research has increased rapidly in recent years. The proliferation of lexical variables, and the multitude of associated databases, makes the choice, comparison, and standardization of these variables in psycholinguistic research increasingly difficult. Here, we introduce The South Carolina Psycholinguistic Metabase (SCOPE), which is a metabase (or a meta-database) containing an extensive, curated collection of psycholinguistic variable values from major databases. The metabase currently contains 245 lexical variables, organized into seven major categories: General (e.g., frequency), Orthographic (e.g., bigram frequency), Phonological (e.g., phonological uniqueness point), Orth-Phon (e.g., consistency), Semantic (e.g., concreteness), Morphological (e.g., number of morphemes), and Response variables (e.g., lexical decision latency). We hope that SCOPE will become a valuable resource for researchers in psycholinguistics and affiliated disciplines such as cognitive neuroscience of language, computational linguistics, and communication disorders. The availability and ease of use of the metabase with comprehensive set of variables can facilitate the understanding of the unique contribution of each of the variables to word processing, and that of interactions between variables, as well as new insights and development of improved models and theories of word processing. It can also help standardize practice in psycholinguistics. We demonstrate use of the metabase by measuring relationships between variables in multiple waysand testing their individual contribution towards a number of dependent measures, in the most comprehensive analysis of this kind to date. The metabase is freely available at go.sc.edu/scope.

Understanding language acquisition: Neural theory of language

This paper aims to discuss old and contemporary perspectives in understanding language acquisition taking into account the neural theory of language. Discussing a recent theory by Kuhl (2010), neural substrates of first language learning will be put forward (Berwick et al., 2013). Neural substrates of phonetic learning, word learning, sentence processing, and syntax development are separately discussed. As a novel window to look into language learning in a greater detail, second language learning in relation to the theories of language acquisition is further discussed. Second language learning and dual vs. single coding structure relating to language acquisition are discussed in relation to the theories that have previously been explained. Finally, a discussion of contemporary issues in understanding both first and second language acquisition in relation to bilingualism is presented. In sum, investigating language acquisition requires a multi-disciplinary approach taking psychology, linguistics, and cognitive neuroscience of language into account is necessary.Â

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Second-Language Learning Ability Revealed by Resting-State Functional Connectivity.

Over the past decade, the cognitive neuroscience of language has gradually shifted its focus from describing the function of specific brain regions to characterizing the spatial and temporal dynamics of functional networks connecting these regions. Examining resting-state functional connectivity (

Neural mechanisms of sentence comprehension based on predictive processes and decision certainty: Electrophysiological evidence from non-canonical linearizations in a flexible word order language

The specificity or generality of language-related event-related brain potentials (ERPs) has been a point of continuing debate in the cognitive neuroscience of language. The present study measured ERPs to (preferred) subject-before-object (SO) and (dispreferred) object-before-subject (OS) word orders in German while manipulating morphosyntactic and semantic cues to correct sentence interpretation. We presented sentence pairs as connected speech (context and target sentences) and examined ERPs at the position of the first argument (noun phrase) in the target sentence. At this position, word order was determinable by either (a) case marking (morphosyntactic cue); (b) animacy (semantic cue); or (c) the preceding context sentence (local ambiguity; contextual cue). Following each sentence pair, participants judged the acceptability of the second sentence in the context of the first and performed a probe word recognition task. Results showed a biphasic N400–P600 pattern at the first noun phrase in the OS conditions irrespectively of which cues (syntactic or semantic) were available to the parser for disambiguation. N400 latency varied as a function of temporal cue availability and P600 amplitude increased for unambiguous object-initial conditions even though these were rated acceptable in the judgment task. These findings support an interpretation of ERP components in terms of general cognitive mechanisms such as predictive processes (N400) and decision certainty (P600 as an instance of the P300) rather than a domain-specific view of a semantic N400 and a syntactic P600.

Book Review: “Cognitive neuroscience of language”

The 19th century has brought to linguistics “Broca's problem” (Boeckx, 2009), the question of how knowledge of language is implemented in the brain. Since then neuroscientific work on language was mostly driven by aphasiology, a state of affairs that has changed drastically with the advent of cognitive neuroscience toward the end of the 1970s and 1980s (Gazzaniga, 2015) and the subsequent further technical advancement and establishment of neuroimaging. With the publication of the textbook Cognitive Neuroscience of Language David Kemmerer aims at and succeeds in closing a long-standing gap in the available neurolinguistics literature, taking into account that cognitive neuroscience has come of age and progressed considerably in addressing Broca's problem in the relatively short timespan since its establishment.

ERP correlates of word production predictors in picture naming: a trial by trial multiple regression analysis from stimulus onset to response.

A major effort in cognitive neuroscience of language is to define the temporal and spatial characteristics of the core cognitive processes involved in word production. One approach consists in studying the effects of linguistic and pre-linguistic variables in picture naming tasks. So far, studies have analyzed event-related potentials (ERPs) during word production by examining one or two variables with factorial designs. Here we extended this approach by investigating simultaneously the effects of multiple theoretical relevant predictors in a picture naming task. High density EEG was recorded on 31 participants during overt naming of 100 pictures. ERPs were extracted on a trial by trial basis from picture onset to 100 ms before the onset of articulation. Mixed-effects regression models were conducted to examine which variables affected production latencies and the duration of periods of stable electrophysiological patterns (topographic maps). Results revealed an effect of a pre-linguistic variable, visual complexity, on an early period of stable electric field at scalp, from 140 to 180 ms after picture presentation, a result consistent with the proposal that this time period is associated with visual object recognition processes. Three other variables, word Age of Acquisition, Name Agreement, and Image Agreement influenced response latencies and modulated ERPs from ~380 ms to the end of the analyzed period. These results demonstrate that a topographic analysis fitted into the single trial ERPs and covering the entire processing period allows one to associate the cost generated by psycholinguistic variables to the duration of specific stable electrophysiological processes and to pinpoint the precise time-course of multiple word production predictors at once.

Logic as Marr's Computational Level: Four Case Studies.

We sketch four applications of Marr's levels-of-analysis methodology to the relations between logic and experimental data in the cognitive neuroscience of language and reasoning. The first part of the paper illustrates the explanatory power of computational level theories based on logic. We show that a Bayesian treatment of the suppression task in reasoning with conditionals is ruled out by EEG data, supporting instead an analysis based on defeasible logic. Further, we describe how results from an EEG study on temporal prepositions can be reanalyzed using formal semantics, addressing a potential confound. The second part of the article demonstrates the predictive power of logical theories drawing on EEG data on processing progressive constructions and on behavioral data on conditional reasoning in people with autism. Logical theories can constrain processing hypotheses all the way down to neurophysiology, and conversely neuroscience data can guide the selection of alternative computational level models of cognition.

Action word Related to Walk Heard by the Ears Activates Visual Cortex and Superior Temporal Gyrus: An fMRI Study

Cognitive neuroscience of language of action processing is one of the interesting issues on the cortical “seat” of word meaning and related action (Pulvermueller, 1999 Behavioral Brain Sciences 22 253–336). For example, generation of action verbs referring to various arm or leg actions (e.g., pick or kick) differentially activate areas along the motor strip that overlap with those areas activated by actual movement of the fingers or feet (Hauk et al., 2004 Neuron 41 301–307). Meanwhile, mimic words like onomatopoeia have the other potential to selectively and strongly stimulate specific brain regions having a specified “seat” of action meaning. In fact, mimic words highly suggestive of laughter and gaze significantly activated the extrastriate visual /premotor cortices and the frontal eye field, respectively (Osaka et al., 2003 Neuroscience Letters 340 127–130; 2009 Neuroscience Letters 461 65–68). However, the role of a mimic word related to walk on specific brain regions has not yet been investigated. T...

Toward a neural theory of language: Old issues and new perspectives

The cognitive neuroscience of language is an exciting interdisciplinary perspective that suffers from unresolved epistemological and methodological issues. Despite the impressive amount of neural evidence accumulated until now, the field of research results fragmented and it is quite difficult to reach a unit of analysis and consensus on the object of study. This frustrating state of the art results in a detrimental reductionism consisting in the practice of associating linguistic computation hypothesized at theoretical level with neurobiological computation. However, these two entities are at the moment ontologically incommensurable. The problem lies in the fact that a theory of language consistent with a range of neurophysiological and neuroimaging techniques of investigation and verifiable through neural data is still lacking. In this article, I focus on the main issues, questions, and concerns that prevent the integrated study of language and brain and I explore a feasible way for linguistics to pursue a theory susceptible of neuroscientific testability in the light of recent neurocognitive models and of data on the functional-anatomic organization of language in the brain. Finally, I discuss a possible interdisciplinary program in order to achieve a theory capable of predictions on the real-time neural constrains characterizing the biological bases of language.

Grounding the cognitive neuroscience of semantics in linguistic theory

The mission of cognitive neuroscience is to represent the interaction of cognitive science and neuroscience: cognitive models of the mind guide a neuroscientific investigation of the brain bases of mental processes. In this endeavour, a cognitive model is crucial as without it, the cognitive neuroscientist does not know what to look for in the brain, what the nature of the relevant representations might be, or how the different components of a process might interact with each other. In the cognitive neuroscience of language, the interaction of theoretical models and brain research has, however, been far from ideal, especially when it comes to the study of meaning at the sentence level. Although theoretical semantics has a long history in linguistics and thus offers detailed and comprehensive models of the nature of semantic representations, these theories have had minimal impact on the brain investigation of semantic processing. In this article, we outline what a theoretically grounded cognitive neuroscience of semantics might look like and summarise our own findings regarding the neural bases of semantic composition, the basic combinatory operation that builds the complex meanings of natural language.

“Are there lexicons?” A study of lexical and semantic processing in word-meaning deafness suggests “yes”

A controversial issue in the cognitive neuroscience of language is the question whether independent lexical representations need to be included in cognitive models. Recent models claim to account for the available data without including phonological or orthographic lexicons. These models base their lexical decision (“Is it a word or not?”) either on familiarity of the input string or alternatively, on semantic information. These two alternatives were evaluated in a series of experiments with an individual suffering from word-meaning deafness. This is a rare disorder of auditory word comprehension which affects mapping of a word’s phonology to its meaning. The participant, BB, was unaffected by the ‘word-likeness’ of nonwords with comparable accuracy for plausible and abstruse nonwords. She was further able to make lexical decisions despite her severe impairment in comprehending the word’s meaning. Lexical and semantic processing were assessed on an item-specific basis providing a methodological advancement over previous studies. The comprehension tasks involved word-picture matching as well as definition tasks. The results suggest that BB’s lexical decisions are based neither on familiarity of the input string nor on semantic information, which was largely unavailable. The only alternative are lexical representations on which she could base her decisions.

Analysis by Synthesis: A (Re-)Emerging Program of Research for Language and Vision

This contribution reviews (some of) the history of analysis by synthesis, an approach to perception and comprehension articulated in the 1950s. Whereas much research has focused on bottom-up, feed-forward, inductive mechanisms, analysis by synthesis as a heuristic model emphasizes a balance of bottom-up and knowledge-driven, top-down, predictive steps in speech perception and language comprehension. This idea aligns well with contemporary Bayesian approaches to perception (in language and other domains), which are illustrated with examples from different aspects of perception and comprehension. Results from psycholinguistics, the cognitive neuroscience of language, and visual object recognition suggest that analysis by synthesis can provide a productive way of structuring biolinguistic research. Current evidence suggests that such a model is theoretically well motivated, biologically sensible, and becomes computationally tractable borrowing from Bayesian formalizations.

Coercion and Compositionality

Research in psycholinguistics and in the cognitive neuroscience of language has suggested that semantic and syntactic processing are associated with different neurophysiologic correlates, such as the N400 and the P600 in the ERPs. However, only a handful of studies have investigated the neural basis of the syntax-semantics interface, and even fewer experiments have dealt with the cases in which semantic composition can proceed independently of the syntax. Here we looked into one such case-complement coercion--using ERPs. We compared sentences such as, "The journalist wrote the article" with "The journalist began the article." The second sentence seems to involve a silent semantic element, which is expressed in the first sentence by the head of the verb phrase (VP) "wrote the article." The second type of construction may therefore require the reader to infer or recover from memory a richer event sense of the VP "began the article," such as began writing the article, and to integrate that into a semantic representation of the sentence. This operation is referred to as "complement coercion." Consistently with earlier reading time, eye tracking, and MEG studies, we found traces of such additional computations in the ERPs: Coercion gives rise to a long-lasting negative shift, which differs at least in duration from a standard N400 effect. Issues regarding the nature of the computation involved are discussed in the light of a neurocognitive model of language processing and a formal semantic analysis of coercion.

How Are ‘Barack Obama’ and ‘President Elect’ Differentially Stored in the Brain? An ERP Investigation on the Processing of Proper and Common Noun Pairs

BackgroundOne of the most debated issues in the cognitive neuroscience of language is whether distinct semantic domains are differentially represented in the brain. Clinical studies described several anomic dissociations with no clear neuroanatomical correlate. Neuroimaging studies have shown that memory retrieval is more demanding for proper than common nouns in that the former are purely arbitrary referential expressions. In this study a semantic relatedness paradigm was devised to investigate neural processing of proper and common nouns.Methodology/Principal Findings780 words (arranged in pairs of Italian nouns/adjectives and the first/last names of well known persons) were presented. Half pairs were semantically related (“Woody Allen” or “social security”), while the others were not (“Sigmund Parodi” or “judicial cream”). All items were balanced for length, frequency, familiarity and semantic relatedness. Participants were to decide about the semantic relatedness of the two items in a pair. RTs and N400 data suggest that the task was more demanding for common nouns. The LORETA neural generators for the related-unrelated contrast (for proper names) included the left fusiform gyrus, right medial temporal gyrus, limbic and parahippocampal regions, inferior parietal and inferior frontal areas, which are thought to be involved in the conjoined processing a familiar face with the relevant episodic information. Person name was more emotional and sensory vivid than common noun semantic access.Conclusions/SignificanceWhen memory retrieval is not required, proper name access (conspecifics knowledge) is not more demanding. The neural generators of N400 to unrelated items (unknown persons and things) did not differ as a function of lexical class, thus suggesting that proper and common nouns are not treated differently as belonging to different grammatical classes.