| Revision as of 15:18, 2 February 2009 editRjanag (talk | contribs)Extended confirmed users58,857 edits →Active distraction: there, that distinction can be added in a few words. still, it's somewhat original research, since it's your own (albeit valid) criticism of the methodology← Previous edit | Revision as of 17:17, 2 February 2009 edit undo137.163.19.99 (talk) →Active distraction: If you need references for this unoriginal offering, run a search for work on automatic attentional capture by Jan Theeuwes cf. Charles FolkNext edit → | ||
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| ====Active distraction==== | ====Active distraction==== | ||
| Some experiments give subjects a "distractor" task to ensure that subjects are not consciously paying attention to the experimental stimuli; this may be done to test whether a certain computation in the brain is carried out automatically, regardless of whether the subject devotes ] to it. For example, one study had subjects listen to nonlinguistic tones in one ear and speech in the other ear, and instructed subjects to press a button when they perceived an ] in the tone; this supposedly caused subjects not to pay explicit attention to grammatical violations in the speech stimuli. The subjects showed a ] (MMN) anyway, suggesting that the processing of the grammatical errors was happening automatically, regardless of attention<ref name="pulvermulleretal2008"/>—or at least that subjects were unable to consciously separate their attention from the speech stimuli. | Some experiments give subjects a "distractor" task to ensure that subjects are not consciously paying attention to the experimental stimuli; this may be done to test whether a certain computation in the brain is carried out automatically, regardless of whether the subject devotes ] to it. For example, one study had subjects listen to nonlinguistic tones in one ear and speech in the other ear, and instructed subjects to press a button when they perceived an ] in the tone; this supposedly caused subjects not to pay explicit attention to grammatical violations in the speech stimuli. The subjects showed a ] (MMN) anyway, suggesting that the processing of the grammatical errors was happening automatically, regardless of attention<ref name="pulvermulleretal2008"/>—or at least that subjects were unable to consciously separate their attention from the speech stimuli. However, a possible interpretation, is that - regardless of volunteers' active attempts to ignore the speech stimuli - attention was, indeed, automatically "captured" by the grammatical violations, without disruption of the active voluntary responses to the tones that were argubably processed in a non-automatic voluntary manner. | ||
| ==Further reading== | ==Further reading== | ||
Revision as of 17:17, 2 February 2009
Neurolinguistics is the science concerned with the neural mechanisms that control the comprehension, production and abstract knowledge of language. As an interdisciplinary field, neurolinguistics involves methods and theory from fields such as neuroscience, linguistics, cognitive science, neurobiology, communication disorders, neuropsychology, and computer science. Researchers are drawn to the field from a variety of backgrounds, bringing along a variety of experimental techniques as well as widely varying theoretical perspectives. Much work in neurolinguistics is informed by models in psycholinguistics and theoretical linguistics, and is focused on investigating how the biological structures in the brain can physically implement the cognitive and computational processes that theoretical and psycholinguistics propose are necessary in producing and comprehending language. Neurolinguists attempt to elucidate how the brain physiologically handles language information, and to evaluate the plausibility of linguistic and psycholinguistic theories, using aphasiology, brain imaging, electrophysiology, and computer modeling.
History
Neurolinguistics is historically rooted in the development in the 19th century of aphasiology, the study of linguistic deficits (aphasias) occurring as the result of brain damage. Aphasiology attempts to make predictions about what linguistic functions are carried out in which parts of the brain by analyzing what language abilities are affected when an individual incurs brain damage to a specific localization in the brain. One of the first people to draw a connection between a particular brain area and language processing was Paul Broca, a French surgeon who conducted autopsies on numerous individuals who had had speaking deficiencies, and found that most of them had brain damage (or lesions) on the left frontal lobe, in an area now known as Broca's area. Phrenologists had made the claim in the early 19th century that different brain regions carried out different functions and that language was mostly controlled by the frontal regions of the brain, but Broca's research was possibly the first to to offer empirical evidence for such a relationship, and has been described as "epoch-making" and "pivotal" to the fields of neurolinguistics and cognitive science. Later, Carl Wernicke, after whom Wernicke's area is named, proposed that different areas of the brain were specialized for different linguistic tasks, with Broca's area handling the motor production of speech, and Wernicke's area handling auditory speech comprehension. The work of Broca and Wernicke established the field of aphasiology and the idea that language can be studied through examining physical characteristics of the brain.
The coining of the term "neurolinguistics" has been attributed to Harry Whitaker, who founded the Journal of Neurolinguistics in 1985.
Although aphasiology is the historical core of neurolinguistics, in recent years the field has broadened considerably, thanks in part to the emergence of new brain imaging technologies (such as PET and fMRI) and time-sensitive electrophysiological techniques (EEG and MEG), which can highlight patterns of brain activation as people engage in various language tasks; electrophysiological techniques, in particular, emerged as a viable method for the study of language in 1980 with the discovery of the N400, a brain response shown to be sensitive to semantic issues in language comprehension. Neurolinguistics is also closely related to the field of psycholinguistics, which seeks to elucidate the cognitive mechanisms of language by employing the traditional techniques of experimental psychology; today, psycholinguistic and neurolinguistic theories often inform one another, and there is much collaboration between the two fields.
Neurolinguistics as a discipline
Interaction with other fields
Much work in neurolinguistics involves testing and evaluating theories put forth by psycholinguists and theoretical linguists. In general, theoretical linguists propose models to explain the structure of language and how language information is organized, psycholinguists propose models and algorithms to explain how language information is processed in the mind, and neurolinguists analyze physical activity in the brain to see how biological structures (such as neurons) carry out those psycholinguistic processing algorithms. For example, experiments in sentence processing have used the ELAN, N400, and P600 brain responses to examine how physiological brain responses reflect the different predictions of sentence processing models put forth by psycholinguists, such as Jerry Fodor and Lyn Frazier's "serial" model, and Theo Vosse and Gerard Kempen's "Unification model." Neurolinguists can also make new predictions about the structure and organization of language based on insights about the physiology of the brain, by "generalizing from the knowledge of neurological structures to language structure."
Topics studied
Neurolinguistics research investigates several topics, including issues of where language information is processed, how language processing unfolds over time, how brain structures are related to language acquisition and learning, and how neurophysiology can contribute to speech and language pathology.
Localizations of language processes
Much work in linguistics has, like Broca's and Wernicke's early studies, investigated the locations of specific language "modules" within the brain. Research questions include what course language information follows through the brain as it is processed, whether or not particular areas specialize in processing particular sorts of information, and how the locations of brain activation differs when a subject is producing or perceiving a language other than his or her first language.
Time course of language processes
Another area of neurolinguistics literate involves the use of electrophysiological techniques to analyze the rapid processing of language in time. The temporal ordering of specific peaks in brain activity may reflect discrete computational processes that the brain undergoes during language processing; for example, one neurolinguistic theory of sentence parsing proposes that three brain responses (the ELAN, N400, and P600) are products of three different steps in syntactic and semantic processing.
Language acquisition
Another topic is the relationship between brain structures and language acquisition. Research in first language acquisition has already established that infants from all linguistic environments go through similar and predictable stages (such as babbling), and some neurolinguistics research attempts to find correlations between stages of language development and stages of brain development, while other research investigates the physical changes (known as neuroplasticity) that the brain undergoes during second language acquisition, when adults learn a new language.
Language pathology
Neurolinguistic techniques are also used to study disorders and breakdowns in language—such as aphasia and dyslexia—and how they relate to physical characteristics of the brain.
Brain imaging
Main article: NeuroimagingSince one of the focuses of this field is the testing of linguistic and psycholinguistic models, the technology used for experiments is highly relevant to the study of neurolinguistics. Modern brain imaging techniques have contributed greatly to a growing understanding of the anatomical organization of linguistic functions. Brain imaging methods used in neurolinguistics may be classified into hemodynamic methods, electrophysiological methods, and methods that stimulate the cortex directly.
Hemodynamic
Hemodynamic techniques take advantage of the fact that when an area of the brain works at a task, blood is sent to supply that area with oxygen (in what is known as the Blood Oxygen Level-Dependent, or BOLD, response). Such techniques include PET and fMRI. These techniques provide high spatial resolution, allowing researchers to pinpoint the location of activity within the brain; temporal resolution (or information about the timing of brain activity), on the other hand, is poor, since the BOLD response happens much more slowly than language processing. In addition to demonstrating which parts of the brain may subserve specific language tasks or computations, hemodynamic methods have also been used to demonstrate how the structure of the brain's language architecture and the distribution of language-related activation may change over time, as a function of linguistic exposure.
Electrophysiological
Electrophysiological techniques take advantage of the fact that when a group of neurons in the brain fire together, they create an electric dipole or current. The technique of EEG measures this electrical current using sensors on the scalp, while MEG measures the magnetic fields that are generated by these currents. These techniques are able to measure brain activity from one millisecond to the next, providing excellent temporal resolution, which is important in studying processes that take place as quickly as language comprehension and production. On the other hand, the location of brain activity can be difficult to identify in EEG and MEG; consequently, these techniques are used primarily to inform theories of the cognitive/computational architecture of language, without regard to their precise neurobiological implementation. Research using EEG and MEG generally focuses on event-related potentials (ERPs), which are distinct brain responses (generally realized as negative or positive peaks on a graph of neural activity) elicited in response to a particular stimulus. Studies using ERP may focus on each ERP's latency (how long after the stimulus the ERP begins or peaks), amplitude (how high or low the peak is), or topography (where on the scalp the ERP response is picked up by sensors). Some important and commonly ERP components include the N400 (a negativity occuring at a latency of about 400 milliseconds), the mismatch negativity, and the early left anterior negativity (a negativity occuring at an early latency and a front-left topography).
Experimental design
Experimental techniques
Neurolinguists employ a variety of experimental techniques in order to use brain imaging to draw conclusions about how language is represented and processed in the brain. These techniques include the mismatch design, violation-based studies, various forms of priming, and direct stimulation of the brain.
Mismatch paradigm
Main article: Mismatch negativityThe mismatch negativity (MMN) is a rigorously documented ERP component frequently used in neurolinguistic experiments. It is an electrophysiological response that occurs in the brain when a subject hears or sees a "deviant" stimulus in a set of perceptually identical "standards" (as in the sequence s s s s s s s d d s s s s s s d s s s s s d). Since the MMN is elicited only in response to a rare "oddball" stimulus in a set of other stimuli that are perceived to be the same, it has been used to test how speakers perceive sounds and organize stimuli categorically. For example, one study presented speakers with numerous /t/ and /d/ stimuli, keeping the ratio of /t/s and /d/s constant to achieve a standard-deviant ratio but varying the voice onset time of all the stimuli within each category; the subjects still showed an MMN, suggesting that even though all the /d/ tokens (and all the /t/ tokens) were physically different in terms of their acoustic properties, the subjects perceptually organized them into the abstract phonemic categories of /d/ and /t/. In addition, the mismatch paradigm has been used to study syntactic processing and the recognition of word category.
Violation-based
Many studies in neurolinguistics take advantage of anomalies or violations of syntactic or semantic rules in experimental stimuli, and analyzing the brain responses elicited when a subject encounters these violations. For example, sentence beginning with phrases such as *the garden was on the worked, which violates an English phrase structure rule, often elicit a brain response called the Early Left Anterior Negativity (ELAN). Violation techniques have been in use since at least 1980, when Kutas and Hillyard first reported that semantic violations elicited an N400 effect. Violation designs have also been used for hemodynamic studies (fMRI and PET): Embick and colleagues, for example, used grammatical and spelling violations to investigate the location of syntactic processing in the brain using fMRI. Another common use of violation designs is to combine two kinds of violations in the same sentence and thus make predictions about how different language processes interact with one another. For example, Ye and colleagues performed a study of syntactic and semantic violations in Mandarin to demonstrate that syntactic structure-building may precede semantic interpretation, and Frisch et al. used different kinds of syntactic violations to demonstrate that the semantic interpretation of verbs cannot take place if the language parser fails to build an initial syntactic structure.
Priming
Main article: Priming (psychology)Priming refers to the phenomenon whereby a subject can recognize a word more quickly if he or she has recently been presented with a word that is similar in meaning or morphological makeup. If a subject is presented with a "target" word such as doctor and then a "prime" word such as nurse, if the subject has a faster-than-usual response time to nurse then the experimenter may assume that brain's lexical entry for the word nurse was already activated when the word doctor had been activated. Priming has been used to investigate if compound words such as "teacup" are stored as single words or as two separate words (by seeing if the word "teacup" primes the words "tea" and "cup"), for investigating the existence of traces in syntactic processing by seeing if a word that has been moved becomes "reactivated" when the brain encounters its trace), and other investigations.
Stimulation
Among newer noninvasive techniques to study the workings of the brain, including how language works, is transcranial magnetic stimulation (TMS) which uses powerful magnetic fields that are applied to the brain from outside the head. However, few neurolinguistic studies using this technique have been reported to date. It is a method of exciting or interrupting brain activity in a specific and controlled location, and thus is able to imitate aphasic symptoms without and giving the researcher more control over exactly which parts of the brain will be examined. As such, it is a less invasive alternative to direct cortical stimulation, which can be used for similar types of research but requires that the subject's scalp be removed, and is thus only used on individuals who are already undergoing a major brain operation (such as individuals undergoing surgery for epilepsy). The logic behind TMS and direct cortical stimulation is similar to the logic behind aphasiology.
Subject tasks
In some neurolinguistics experiments, subjects do not simply sit and listen to or watch stimuli, but also are instructed to perform some sort of task in response to the stimuli. At least one study has suggested that the task the subject does has an effect on the brain responses and the results of the experiment.
Lexical decision
Main article: Lexical decision taskThe lexical decision task involves subjects seeing or hearing an isolated word and answering whether or not it is a real word. It is frequently used in priming studies, since subjects are known to make a lexical decision more quickly if a word has been primed by a related word (as in "doctor" priming "nurse").
Grammaticality judgment, acceptability judgment
Many studies, especially violation-based studies, have subjects make a decision about the "acceptability" (usually grammatical acceptability or semantic acceptability) of stimuli. Such a task is often used to "ensure that subjects reading the sentences attentively and that they acceptable from unacceptable sentences in the way expect them to do."
Experimental evidence has shown that the instructions given to subjects in an acceptability judgment task can influence the subjects' brain responses to stimuli. One experiment showed that when subjects were instructed to judge the "acceptability" of sentences they did not show an N400 brain response (a response commonly associated with semantic processing), but that they did show that response when instructed to ignore grammatical acceptability and only judge whether or not the sentences "made sense."
Probe verification
Some studies use a "probe verification" task rather than an overt acceptability judgment; in this paradigm, each experimental sentence is followed by a "probe word," and subjects must answer whether or not the probe word had appeared in the sentence. This task, like the acceptability judgment task, ensures that subjects are reading or listening attentively, but may avoid some of the additional processing demands of acceptability judgments, and may be used no matter what type of violation is being presented in the study.
Truth-value judgment
Subjects may be instructed not to judge whether or not the sentence is grammatically acceptable or logical, but whether the proposition expressed by the sentence is true or false. This task is commonly used in psycholinguistic studies of child language.
Active distraction
Some experiments give subjects a "distractor" task to ensure that subjects are not consciously paying attention to the experimental stimuli; this may be done to test whether a certain computation in the brain is carried out automatically, regardless of whether the subject devotes attentional resources to it. For example, one study had subjects listen to nonlinguistic tones in one ear and speech in the other ear, and instructed subjects to press a button when they perceived an attenuation in the tone; this supposedly caused subjects not to pay explicit attention to grammatical violations in the speech stimuli. The subjects showed a mismatch response (MMN) anyway, suggesting that the processing of the grammatical errors was happening automatically, regardless of attention—or at least that subjects were unable to consciously separate their attention from the speech stimuli. However, a possible interpretation, is that - regardless of volunteers' active attempts to ignore the speech stimuli - attention was, indeed, automatically "captured" by the grammatical violations, without disruption of the active voluntary responses to the tones that were argubably processed in a non-automatic voluntary manner.
Further reading
- Ahlsén, Elisabeth (2006). Introduction to Neurolinguistics. John Benjamins Publishing Company. p. 212. ISBN 9027232334.
- Stemmer, Brigitte (1998). Handbook of Neurolinguistics. Academic Press. p. 788. ISBN 0126660557.
{{cite book}}: Unknown parameter|coauthors=ignored (|author=suggested) (help)
Some relevant journals include the Journal of Neurolinguistics and Brain and Language. Both are subscription access journals, though some abstracts may be generally available.
Notes
- ^ Phillips and Sakai (2005).
- ^ Wiśniewski, Kamil (12 August 2007). "Neurolinguistics". Język angielski online. Retrieved 31 January 2009.
- ^ Dronkers, N.F. (2007). "Paul Broca's historic cases: high resolution MR imaging of the brains of Leborgne and Lelong". Brain. 130: 1432–3, 1441. doi:10.1093/brain/awm042. Retrieved 25 January 2009.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - ^ Teter, Theresa (May 2000). "Pierre-Paul Broca". Muskingum College. Retrieved 25 January 2009.
- "Pierre Paul Broca". Who Named It?. Retrieved 25 January 2009.
- Ingram (2007), p. 3.
- Peng, FCC (1985). "What is neurolinguistics?". Journal of Neurolinguistics. 1 (1). doi:10.1016/S0911-6044(85)80003-8.
- ^ Weisler (1999), p. 293.
- Hagoort, Peter (2003). "How the brain solves the binding problem for language: a neurocomputational model of syntactic processing". NeuroImage. 20: S20.
- Hall, Christopher J. An Introduction to Language and Linguistics. Continuum International Publishing Group. p. 274. ISBN 0826487343.
{{cite book}}: Text "year-2005" ignored (help) - ^ Hagoort, Peter (2003). "How the brain solves the binding problem for language: a neurocomputational model of syntactic processing". NeuroImage. 20: S19–S20.
- Hall, Christopher J. An Introduction to Language and Linguistics. Continuum International Publishing Group. p. 274. ISBN 0826487343.
{{cite book}}: Text "year-2005" ignored (help) - Pylkkänen, Liina. "What is Neurolinguistics?" (PDF). p. 2. Retrieved 31 January 2009.
- See, for example, Friederici, Angela D (2002). "Towards a neural basis of auditory sentence processing". TRENDS in Cognitive Sciences. 6 (2)., which discusses how three brain responses reflect three stages of Fodor and Frazier's model.
- Weisler (1999), p. 280.
- Hickock, Gregory (2007). "Opinion: The cortical organization of speech processing". Nature Reviews Neuroscience. 8: 393–402. doi:10.1038/nrn2113.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - Embick, David (2000). "A syntactic specialization for Broca's area". Proceedings of the National Academy of Sciences. 97 (11).
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - Yue Wang (2003). "fMRI Evidence for Cortical Modification during Learning of Mandarin Lexical Tone". Journal of Cognitive Neuroscience. 15 (7): 1019–1027.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - ^ Menn, Lise. "Neurolinguistics". Linguistic Society of America. Retrieved 18 December 2008.
- "The Bilingual Brain". Brain Briefings. Society for Neuroscience. 2008. Retrieved 1 February 2009.
{{cite web}}: Unknown parameter|month=ignored (help) - ^ Friederici, Angela D. (2002). "Towards a neural basis of auditory sentence processing". TRENDS in Cognitive Sciences. 6 (2): 78–84. doi:10.1016/S1364-6613(00)01839-8.
- Caplan (1987), p. 11.
- ^ Caplan (1987), p. 12.
- Sereno, Joan A (2007). "Behavioral and cortical effects of learning a second language: The acquisition of tone". Language Experience in Second Language Speech Learning. Eds. Ocke-Schwen Bohn and Murray J. Munro. Philadelphia: John Benjamins Publishing Company.
{{cite book}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - Ward, Jamie (2006). "The Imaged Brain". The Student's Guide to Cognitive Neuroscience. Psychology Press. ISBN 1841695343.
- ^ Kutas, Marta (2002). "Electrophysiology reveals memory use in language comprehension". TRENDS in Cognitive Sciences. 4 (12).
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - Embick , David, et al. (2000). "A syntactic specialization for Broca's area." Proceedings of the National Academy of Sciences of the United States of America. 97(11), pp. 6150–6154.
- Sereno, Joan A. (2007). "Behavioral and cortical effects of learning a second language". In Ocke-Schwen Bohn and Murray J. Munro (ed.). Language Experience in Second Language Speech Learning. Philadelphia: John Benjamins Publishing Company.
{{cite book}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - Wang, Yue (2003). "fMRI Evidence for Cortical Modification during Learning of Mandarin Lexical Tone". Journal of Cognitive Neuroscience. 15 (7): 1019–1027. doi:10.1162/089892903770007407.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - ^ Pylkkänen, Liina (2003). "Tracking the time course of word recognition with MEG". TRENDS in Cognitive Sciences. 7 (5): 187–189. doi:10.1016/S1364-6613(03)00092-5.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - Coles, Michael G.H. (1996). "Event-related brain potentials: an introduction". Electrophysiology of Mind. Oxford Scholarship Online Monographs. pp. 1–27.
{{cite book}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - ^ Pulvermüller, Friedemann (2008). "Syntax as a reflex: Neurophysiological evidence for the early automaticity of syntactic processing". Brain and Language. 104: 244–253. doi:10.1016/j.bandl.2007.05.002.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - ^ Frisch, Stefan (2004). "Word category and verb–argument structure information in the dynamics of parsing". Cognition. 91: 194. doi:10.1016/j.cognition.2003.09.009.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - ^ Pulvermüller, Friedemann (2003). "Automatic processing of grammar in the human brain as revealed by the mismatch negativity". NeuroImage. 20: 159–172. doi:10.1016/S1053-8119(03)00261-1.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - ^ Phillips, Colin et al. (2001). "Auditory Cortex Accesses Phonological Category: An MEG Mismatch Study." Journal of Cognitive Neuroscience 12:6. 1038-1055.
- Shtyrov, Yury (2004). "Distributed neuronal networks for encoding category-specific semantic information: the mismatch negativity to action words". European Journal of Neuroscience. 19: 1083–1092. doi:10.1111/j.0953-816X.2004.03126.x.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - Näätänen, Risto et al. (1997). "Language-specific phoneme representations revealed by electric and magnetic brain responses." Nature 385, pp. 432–434.
- Kazanina, Nina (2006). "The influence of meaning on the perception of speech sounds". Proceedings of the National Academy of Sciences of the United States of America. 103: 11381–11386. doi:10.1073/pnas.0604821103. PMID 16849423.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - Hasing, Anna S. (2007). "Setting the Stage for Automatic Syntax Processing: The Mismatch Negativity as an Indicator of Syntactic Priming". Journal of Cognitive Neuroscience. 19 (3): 386–400. doi:10.1162/jocn.2007.19.3.386.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - Example from Frisch et al. (2004: 195).
- Kutas, M. (1980). "Reading senseless sentences: brain potentials reflect semantic incongruity". Science. 207: 203–205. doi:10.1126/science.7350657. PMID 7350657.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - Embick, David (2000). "A Syntactic Specialization for Broca's Area". Proceedings of the National Academy of Sciences of the United States of America. 97 (11): 6150–6154. doi:10.1073/pnas.100098897. PMID 10811887.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - Frisch, Stefan (2004). "Word category and verb–argument structure information in the dynamics of parsing". Cognition. 91: 195. doi:10.1016/j.cognition.2003.09.009.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - ^ Zheng Ye, Yue-jia Luo, Angela D. Friederici, and Xiaolin Zhou (2006). "Semantic and syntactic processing in Chinese sentence comprehension: Evidence from event-related potentials." Brain Research 1071, pp. 186-196.
- Frisch, Stefan (2004). "Word category and verb–argument structure information in the dynamics of parsing". Cognition. 91: 213. doi:10.1016/j.cognition.2003.09.009.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - ^ "Experiment Description: Lexical Decision and Semantic Priming". Athatbasca University. 27 June 2005. Retrieved 14 December 2008.
- ^ Fiorentino, Robert (2007). "Processing of compound words: An MEG study". Brain and Language. 103: 8–249. doi:10.1016/j.bandl.2007.07.009.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - ^ Friederici, Angela D. (1999). "Lexical integration: Sequential effects of syntactic and semantic information". Memory & Cognition. 27 (3): 438–453.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - Devlin, Joseph T. (2004). "Morphology and the internal structure of words". Proceedings of the National Academy of Sciences. 101 (41): 14984–14988.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - Zurif, E.B., D. Swinney, P. Prather, J. Solomon and C. Bushell (1993). "An on-line analysis of syntactic processing in Broca's and Wernicke's aphasia." Brain and Language 45, 448-464.
- "Transcranial Magnetic Stimulation - Risks". Mayo Clinic. Retrieved 15 December 2008.
- ^ "Transcranial Magnetic Stimulation (TMS)". National Alliance on Mental Illness. Retrieved 15 December 2008.
- A.R. Wyler (1981). "Neurons in human epileptic cortex. Response to direct cortical stimulation". Journal of Neurosurgery. 55 (6): 904–8.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - One common exception to this is studies using the mismatch paradigm, in which subjects are often instructed to watch a silent movie or otherwise not pay attention actively to the stimuli. See, for example:
- Pulvermüller, Friedemann (2007). "Grammar or Serial Order?: Discrete Combinatorial Brain Mechanicsms Reflected by the Syntactic Mismatch Negativity". Journal of Cognitive Neuroscience. 19 (6): 971–980. doi:10.1162/jocn.2007.19.6.971.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - Pulvermüller, Friedemann (2003). "Automatic processing of grammar in the human brain as revealed by the mismatch negativity". NeuroImage. 20: 159–172. doi:10.1016/S1053-8119(03)00261-1.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help)
- Pulvermüller, Friedemann (2007). "Grammar or Serial Order?: Discrete Combinatorial Brain Mechanicsms Reflected by the Syntactic Mismatch Negativity". Journal of Cognitive Neuroscience. 19 (6): 971–980. doi:10.1162/jocn.2007.19.6.971.
- ^ Hahne, Anja (2002). "Differential task effects on semantic and syntactic processes as revealed by ERPs". Cognitive Brain Research. 13: 339–356. doi:10.1016/S0926-6410(01)00127-6.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - ^ Frisch, Stefan (2004). "Word category and verb–argument structure information in the dynamics of parsing". Cognition. 91: 200–201. doi:10.1016/j.cognition.2003.09.009.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - Osterhout, Lee (1997). "On the Brain Response to Syntactic Anomalies: Manipulations of Word Position and Word Class Reveal Individual Differences". Brain and Language. 59: 500. doi:10.1006/brln.1997.1793.
{{cite journal}}: More than one of|pages=and|page=specified (help) - Hagoort, Peter (2003). "Interplay between Syntax and Semantics during Sentence Comprehension: ErP Effects of Combining Syntactic and Semantic Violations". Journal of Cognitive Neuroscience. 15 (6): 883–899. doi:10.1162/089892903322370807.
- Gordon, Peter. "10". The Truth-Value Judgment Task (PDF). Cambridge: MIT Press.
{{cite book}}:|work=ignored (help); Unknown parameter|editors=ignored (|editor=suggested) (help) - Crain, Stephen, Luisa Meroni, and Utako Minai. "If Everybody Knows, then Every Child Knows." University of Maryland at College Park. Retrieved on 14 December 2008.
References
- Caplan, David (1987). Neurolinguistics and Linguistic Aphasiology: An Introduction. Cambridge University Press. p. 498. ISBN 0521311950.
- Ingram, John C.L. (2007). Neurolinguistics: An Introduction to Spoken Language Processing and Its Disorders. Cambridge University Press. p. 420. ISBN 0521791901.
- Phillips, Colin, and Kuniyoshi L. Sakai (2005). "Language and the brain." In Yearbook of Science and Technology. McGraw-Hill Publishers, pp. 166-169.
- Weisler, Stephen (1999). "Brain and Language". Theory of Language. MIT Press. p. 344. ISBN 0262731258.
{{cite book}}: Unknown parameter|coauthors=ignored (|author=suggested) (help)
