ArticlePDF Available

Vocabulary and the Brain: Evidence from Neuroimaging Studies


Abstract and Figures

In summary of the research findings presented in this paper, various brain regions are correlated with vocabulary and vocabulary acquisition. Semantic associations for vocabulary seem to be located near brain areas that vary according to the type of vocabulary, e.g. ventral temporal regions important for words for things that can be seen. Semantic processing is believed to be strongly associated with the ANG. Phonological ability has been closely related to the anterior surfaces of the SMG. Pathways through the posterior SMG are thought to link the anterior SMG and the ANG. In vocabulary tasks, mediotemporal structures may be related to long-term memory processing, with left hippocampal and parahippocampal regions related to long-term and working memory, respectively. Precentral structures are associated with phonological retrieval. Furthermore, many more regions of the brain are of interest in vocabulary tasks, particularly in areas important for visual and auditory processing. Furthermore, differences between brain anatomies can be attributed to vocabulary demands of different languages.
Content may be subject to copyright.
Vocabulary and the Brain 1
Vocabulary and the Brain: Evidence from Neuroimaging Studies
Tom A. F. Anderson
Graduate Institute of Network Learning Technology
Prof. Ruan, C.-H.
Institute of Cognitive Neuroscience
National Central University
Vocabulary and the Brain 2
In summary of the research findings presented in this paper, various brain regions are
correlated with vocabulary and vocabulary acquisition. Semantic associations for vocabulary
seem to be located near brain areas that vary according to the type of vocabulary, e.g. ventral
temporal regions important for words for things that can be seen. Semantic processing is
believed to be strongly associated with the ANG. Phonological ability has been closely
related to the anterior surfaces of the SMG. Pathways through the posterior SMG are thought
to link the anterior SMG and the ANG. In vocabulary tasks, mediotemporal structures may be
related to long-term memory processing, with left hippocampal and parahippocampal regions
related to long-term and working memory, respectively. Precentral structures are associated
with phonological retrieval. Furthermore, many more regions of the brain are of interest in
vocabulary tasks, particularly in areas important for visual and auditory processing.
Furthermore, differences between brain anatomies can be attributed to vocabulary demands
of different languages.
Vocabulary and the Brain 3
The human brain spontaneously reacts to words. Electrical recordings of the scalp show
activity 160 milliseconds after exposure to a word in a task of giving the use of a word
(Posner & Raichle, 1997). Furthermore, different activations of different areas are observed
for different vocabulary tasks, enabling the production of hypotheses about which areas of the
brain regard vocabulary and why. According to Blakemore and Frith (2005), humans begin
the process of life-long vocabulary learning as babies, fastmapping words to objects, learning
20-50 words by 18 months of age. Between 18 24 months of age, the rate of vocabulary
acquisition increases dramatically, and five-year-old children generally have a 2000 word
vocabulary in their native language. Adults also learn vocabulary at a fast rate. Nonetheless,
the neurological mechanisms underlying vocabulary processes are still under investigation, so
there is a lot that can be learned from neuroscience research. Therefore, vocabulary and
vocabulary learning is an important part of the learning sciences that merits a literature
survey of some of the related neuroscience such as this paper.
Language in general, and word learning specifically, are commonly researched topics in
experimental psychology and cognitive science. In experimental psychology, the Stroop
effect demonstrates that the reaction time of word naming varies according to other factors.
Around 1973, autoradiography of living human subjects came about (Posner & Raichle,
1997), allowing investigations into changes that occur in the brain. By pairing cognitive
science tasks with neuroimaging techniques, such as pairing the Stroop effect with positron
emissions tomography, we are able to come to understand more closely the interworking of
the brain.
Vocabulary and the Brain 4
Some areas of the brain have long been
known to be strongly related to language
ability. For example, Broca‘s area, a portion
of the left inferior frontal gyrus, has long been
associated with learning one‘s native
language. Using fMRI, Musso et al. (2003)
showed that when learning real grammar of a
second language, activation in Broca‘s area
increases over time (See Fig. 1). Such
research results and innate human interest in
language, especially in word and vocabulary
learning, have spurred neuroscientists to use modern neuroimaging techniques for the
investigation of word recognition and of word learning. Techniques such as ERP, PET, and
fMRI have been used for investigations of areas of responsibility for vocabulary in the brain.
These types of tests can often provide more insight into the correlational basis obtained from
analysis of patients with brain lesions. And they can show how many areas of the brain relate
to language. In this paper, two terms in particular occur quite often; therefore, the
supramarginal gyrus will be abbreviated as SMG, and the angular gyrus will be abbreviated
Common Neurological techniques
Humans have been intensely interested in studying the brain since before the time of
Aristotle and Descartes, famous scholars whose conjectures about the workings of the brain
influenced many scholars. More modern conceptions of the mind from luminaries such as
Sechenov, Scherrington, Hebb, Konorsky and Luria brought understanding of the biologic
nature of the mind (Posner & Raichle, 1997). Beginning with studies of lesions, and
Figure 1. Activation in learning grammar rules
of real Italian (yellow) and Japanese (red)
indicate increasing activation in Broca's area.
From Musso et al, 2003.
Vocabulary and the Brain 5
progressing to computer-aided neuroimaging techniques, the following is a brief summary of
basic techniques used in research cited in this paper.
Positron Emissions Tomography (PET) Isotopes (e.g. carbon, nitrogen, oxygen, and
fluorine) emit gamma radiation that rapidly decays. Emissions from these elements located in
an area of the body such as the head can be detected to produce tomographs of the brain,
reconstructed computer images that are most usually in color (Posner & Raichle, 1997).
Functional Magnetic Resonance Imaging (fMRI) According to Posner and Raichle
(1997), by examining the differences in the proton signals, functional magnetic resonance
imaging, or fMRI, allows researchers to investigate the functioning of the brain. In fMRI,
magnetic fields orient the atoms that are to be observed. Subsequent application of radio
wave pulses induce radio signals that inform as to the number of atoms as well as the
chemical environment, about the anatomy and function of the subject. MRI is now often
referred to as fMRI. Using fMRI, changes in brain blood oxygen can be measurable at
resolution of about 1-2 millimeters, indicating neural activity (Ogawa et al., 1990, as cited by
Binder, et al., 1996). A significant advantage of fMRI is that it does not induce changes in
brain tissue, as do PET and x-ray tomography.
Voxel-based morphometry (VBM) A whole-brain technique, VBM uses structural
magnetic resonance images (Green, 2007). First, brains are normalized to eliminate
individual variations in brain shapes. Then, once the positions and sizes of the gyri of each of
the brains to be studied are correlated, the technique is used to determine small-scale
differences in the concentration and volume of grey matter and white matter.
Brain Lesions Lesions are areas of tissue damage. When they occur in the brain, they
may cause neural structures to function suboptimally. Researchers have learned a great deal
about from associating lesions with inabilities of patients. For language in particular, double
dissociation is often seen in patients with lesions in one area and not in another.
Vocabulary and the Brain 6
Double Dissociation
Language as cognitive processes is linked to neural mechanisms, many of which are
distinct from other brain systems. For evidence of this, we can see patients with brain lesions
who have disorders of language, yet no other discernable problems; also, there are other
patients with no language problems, yet many other problems. We call this ―double
dissociation, and it is a general indication of modular, independent systems. Even within
closely related tasks that fall under the language umbrella there is double dissociation: for
example, word naming and picture naming are double dissociated. Also speaking and singing
are areas of double dissociation because: there are some subjects with lesions in one area who
are able to speak yet cannot sing; there are other subjects with lesions in another area who
can sing, yet cannot speak. Double dissociation gives strong indication that two areas of the
brain are dedicated to different processes.
Research findings
A brief introduction to language areas in the brain will be reported, followed by
findings more specific to vocabulary.
Language areas of the brain
When subjects are exposed to stimulus such as language, subsequent activation in the
brain can be observed. By comparing the activation that results from language to activation
that results from meaningless sounds, it can be inferred, through the subtractive method, that
the remaining areas of activation are specific to language. Binder et al. (1997) performed
such an imaging experiment and found results that both confirmed and went against classical
Vocabulary and the Brain 7
Binder et al. found that language processing primarily showed activation in the left
cerebral hemisphere involving a network of regions in frontal, temporal, and parietal lobes.
They found several things not in concordance with traditional language areas:
(1) The existence of left hemisphere temporoparietal language areas outside the
traditional ―Wernicke‘s area,‖ namely, in the middle temporal, inferior temporal,
fusiform, and angular gyri;
(2) Extensive left prefrontal language areas outside the classical Brocas area; and
(3) Clear participation of these left frontal areas in a task emphasizing ―receptive‖
language functions.‖ (Binder et al., 1997).
Activation for a semantic decision test was observed in four distinct cortical language-related
areas: (1) Researchers observed activated cortex on both sides of the superior temporal
sulcus. The middle temporal gyrus in the left hemisphere was mostly activated. Additionally,
activation was also evident in the inferior temporal gyrus, fusiform, and parahippocampal
gyri in the ventral temporal lobe. They noted that some areas were more strongly activated in
response to meaningless audio stimulus than to the stimulus in the semantic decision task.
(2) Secondly, in the middle frontal gyrus, the rostral and caudal areas were active while
the midportion was not. Activation occurred in a great deal of the superior frontal gyrus
anterior to the vertical AC line. Left medial frontal activation spread ventrally to involve a
portion of the anterior cingulate gyrus. Smaller activation was also noted in the anterior
cingulate and superior frontal gyrus in the right hemisphere.
The anterior cingulate system is seen active in experiments into the Stroop effect (Posner
& Raichle, 1997) perhaps due to its function in the inhibition of the automatic response to a
word when an ink-color must be reported.
Vocabulary and the Brain 8
(3) Activation was observed in the ANG, which would correspond to phonological
processing, as cited by Lee et al. (2007).
(4) A perisplenial region including the posterior cingulate, ventromedial precuneus, and
cingulate isthmus, clearly distinct from the activation observed in the meaningless sound
stimulus condition.
Another large region of activation in this task was the right posterior cerebellum. The
results of the brain imaging are shown in Figure 2.
Using PET scans of the angular cingulate gyrus and subtracting for sensory and motor
activations lead Posner and Raichle (1997) to concur that this area is responsible for
attention. Activation of the anterior regions of the brain was also detected in the basal
ganglia, corresponding to the detection of colors, motions and forms. They suggest that
Figure 2. Activation of the brain in semantic processing of hearing spoken language obtained by
subtracting activation caused by non-language audio stimuli. From Binder et al., 1997.
Vocabulary and the Brain 9
frontal areas generally demonstrate activity when active processing is demanded by the
experimental task.
Word recognition
As cited by Nobre & Plunkett (1997), two regions specialized for word recognitionboth
on the ventral surface of the temporal lobeshave been identified. This area of the temporal
lobes is strongly associated with object recognition in both humans and primates. Using
intracranial electrodes, it was determined that there was a focal region in the posterior ventral
extrastriate visual cortex that responded to strings of letters and to words, but did not react to
other meaningful visual stimuli, nor to orthography, phonology or semantics. Additionally,
another more anteriorly located region was active for letter strings that obeyed orthographic
and phonological rules, with varied responses given based on content and context. Face
recognition regions were located near each of these areas of word recognition, which would
indicate that face recognition and word recognition share parallel organization. It appears that
word and object recognition are closely related within the human brain.
Typical hypotheses for language in the adult brain are that the left hemisphere is
dominant, the left-temporal lobe is involved in language comprehension, and the left-frontal
lobe is involved in expressive language functions. However, some things are clear from
children with focal brain injuries. For children with focal brain injury, we can see that the two
hemispheres are equally able to support language. Children less than 6 months of age with
brain injury to only one hemisphere did experience language impairments, though by age 5 or
6 no language impairments are detectable. At around 18 to 24 months of age, an explosive
growth in vocabulary is typically evidenced; however, this growth is disrupted in those of 19-
31 months of age with left temporal lesions. This implies that for language, brain localization
is organized according to the experience of the individual, rather than language centers being
simply assembled (Nobre & Plunkett, 1997).
Vocabulary and the Brain 10
Face, animal and tool naming
The naming of different thingssuch as faces, tools, and animalshave been shown to
activate specific regions, especially in the temporal pole. Patients may have deficits in tool
naming and not animal naming, or deficits in animal naming and not tool naming. However,
those with naming deficits for both face and tool naming always also have naming deficits for
animals, as the region of the brain for animals is located between the other two. The location
and separation of these areas of activation determined by lesion have been confirmed by PET
studies (Damasio et al. 1990, cited by Nobre and Plunkett, 1997). Neuroimaging suggests that
the representations of attributes of objects are located near the cortical regions that mediate
perception of those attributes. Therefore, the coding of vocabulary occurs throughout
widespread regions that code sensory, motor, or functional attributes, and additionally in
regions that integrate or bind together such coding of sensory (visual, auditory, etc.) motor, or
functional attributes.
Lesions in the left hemisphere and specific non-perisylvian regions of the temporal lobe
were correlated with naming deficits that correlated with the location of the lesions (Martin,
et al., as cited by Nobre & Plunkett, 1997). With lesions in the temporal lobe came deficits in
naming faces. More posterior ventral temporal lesions extending to lateral sites along
junction of temporal-occipital-parietal cortices lead to impaired naming of tools. The ventral
temporal regions have been linked to the naming of animals (a task that primarily involves
visual form, reliant on ventral pathways of visual system). The left lateral middle temporal
gyrus and left premotor regions is linked to naming tools (reliant on motor/visual motion
associated with the tool, reliant on the dorsal visual pathway). Finally, the extrastriate visual
cortex, ventral temporal lobe, and premotor regions are all activated in naming both animals
and tools.
Vocabulary and the Brain 11
As observed by PET, brain area activations were highly similar for both pictures and
words. A posterior lateral region over the middle and superior temporal gyrus was activated
for generating verbs. Lesions in the left premotor and prefrontal region produce impairment
to the naming of actions (verbs). Additionally, left premotor areas in or near Broca‘s area are
activated for generating words for actions (Martin et al., 1995, as cited by Nobre & Plunkett,
1997). We might infer that these motor-related regions are linked to naming actions because
actions require motor activity.
Concrete nouns and function words
Neuroimaging shows highly non-overlapping brain activation for concrete nouns and
function words (Nobre, et al., 1997, as cited by Nobre & Plunkett, 1997). This may be due to
brain region specificity for different functions.
Left-hemisphere brain regions linked with visual and associative functions in semantic
tasks are activated by concrete nouns, which have strong visual and mnemonic associations.
Areas of activation include the inferior frontal cortex, posterior middle temporal cortex,
medial temporal lobe regions including the hippocampus and surrounding cortex, lateral
anterior temporal cortex, posterior cingulate cortex and superior dorsolateral prefrontal
Left-hemisphere brain regions linked to phonology and grammar are activated by
function words, which are used for linking and sequencing other items. Areas of activation
include the superior temporal sulcus and middle temporal gyrus, SMG at the end of the
sylvian fissure, precentral sulcus in premotor cortex in the region of Broca‘s area, and inferior
frontal gyrus and precentral gyrus in motor cortex.
Covert naming
Vocabulary and the Brain 12
Comparing the viewing of objects with the passive viewing of non-objects, researchers
using functional magnetic resonance imaging (fMRI) were able to observe that silently
naming objects activates certain areas of the brain more than others. Subjects were trained to
use particular names for pictures of objects and non-objects, and subsequentlyin the
experimentsubjects internally named the objects to themselves. The baseline was
determined as the brain activation occurring for observation of non-objects that could not be
named as in the experimental condition, for which words were known. It was observed that
in the experimental condition, both left and right hemispheres were activated in the frontal,
parietal, and mediotemporal lobes, as seen in Figure 3. Such bilateral occipital activation
might be observed as a result of visual processing (Menard et al., 1996 as cited by Ellis et al.,
perhaps by triggering the imagination of visual features that are not seen in an object because
they are obscured by another part of the same object. In non-objects, this kind of stimulation
is not observed, because subjects do not have experience about what visual features may be
In the left hemisphere: activations in precentral and medial frontal gyri; postcentral, SMG
and ANG in the parietal; and the middle temporal gyrus, the parahippocampal, lingual, and
Figure 3. Areas of brain activated in covert naming task but not in baseline task. From Ellis et al., 2006.
Vocabulary and the Brain 13
fusiform gyri in the temporo-occipital ventral regions; and in the hippocampus. Activation of
the precentral structures has been linked to phonological retrieval (Murtha et al., 1999 as
cited by Ellis et al., 2006), which implies that the subjects were activating phonological
structures though they were not speaking the name of objects aloud. The left hippocampal
and parahippocampal regions may reflect use of long-term and working memory in this task.
These results are consistent with naming objects as measured in functional neuroimaging
studies (Murtha et al. 1999; Price, 2000; Humphreys and Price, 2001; as cited by Ellis et al.,
2006). Additionally, mediotemporal structures may also be related to long-term memory
retrieval (Moscovitch et al., 2006, cited by Ellis et al., 2006). The left parieto-temporal
junction activation shows that in this task, working memory might be involved in retrieving
and checking the nonverbalized names.
Further areas of activation include, in the right hemisphere: Insula, postecentral gyrus,
parietal lobe and the parahippocampal gyrus in the ventro-temporal region. Furthermore,
activation was seen in the body of the left caudate, the left claustrum, and bilaterally in the
Age of acquisition effect in covert naming
Some words are learned much earlier in life than others (e.g. the word brain is learned
years before the word ―transcranial‖). In word naming tasks, subjects are faster to respond
and name words that are learned earlier in life. Brain activation varies according to when a
word is learned, depending on whether the subject learned the word early in life or not.
Activation in posterior parts of the middle gyri in the occipital poles is evident for early
acquired words; left middle occipital and fusiform gyri showed greater activation for those
words that are acquired later. Neuroimages for the two conditions may be found in Ellis et al.
(2006). Figure 3 in this work shows neural activation for a more general condition.
Vocabulary and the Brain 14
Vocabulary Acquisition in Adolescents
Gray matter density has been shown to increase as a result of learning, even in adults, and
measures of skill have been correlated with the changes. Through functional imaging, it has
been determined that in the inferior parietal lobe (IPL), two areas of activation during
vocabulary acquisition (word learning) are located in the vicinity of the anterior and posterior
surfaces of the SMG (Breitensten et al., 2005 and Cornelissen et al., 2004, cited by Lee, et al.,
2007). Proficiency at a second language can be predicted by gray matter density in an area of
the inferior parietal lobethe posterior SMG (Mechelli, 2004, cited by Lee, et al., 2007)
though the posterior SMG is not typically activated during functional imaging studies of
word processing (cited by Lee, et al., 2007). The posterior surface of the SMG is located
between the anterior SMG and the anterior ANG. The anterior surfaces of the SMG have
been associated with phonological abilities, such as the ability to pronounce novel words
(Cornelissen et al., 2004, cited by Lee et al., 2007). The anterior ANG region has been
associated with semantic processing (as cited by Lee, 2007).
Lee et al. (2007) used voxel-based morphometry (VBM) to investigate the effects of
vocabulary acquisition on the gray matter density between the anterior and posterior SMG.
Figure 4. Areas of increased grey matter density in speakers of Chinese as compared to speakers of
English, after removing density variations attributable to ethnicity. From Lee et al, 2007.
Vocabulary and the Brain 15
The researchers performed brain image analysis to compare 32 adolescents with similar
verbal IQs to find differences that could be attributed to word knowledge alone. A separate
measure of verbal fluency, or verbal IQ, showed that gray matter density is correlated with
vocabulary knowledge even for individuals if they have similar verbal IQs. Therefore, they
were able to show strong correlation between gray matter and verbal knowledge. They
reported that gray matter density in the posterior SMG is most strongly correlated with
vocabulary knowledge among adolescents.
The results of monkey studies show that between similar regions in the macaque brain,
pathways directly linking the two regions only go through the region that corresponds to the
posterior SMG. Lee et al. also conducted human studies, showing through tractographic
analysis of MRI data that it appears that there is only one pathway from the anterior SMG to
the ANG, which goes through the posterior SMG. It is then hypothesized that the role of the
posterior SMG may be crucial in vocabulary learning, as the posterior SMG links areas that
are independently responsible for phonological and semantic processes, respectively.
One thing that I consider interesting that was mentioned in Lee‘s study is that monkey
brains have an analogue to the posterior SMG pathway from ANG to anterior SMG. This
demonstrates that vocabulary abilities are related to regions of the brain that have not evolved
for language alone.
Brain differences between speakers of Chinese and English
Areas of the brains of Chinese people have been shown to be different than in Caucasian
brains, with increased gray matter density in the right parietal, left frontal and left temporal
regions. Caucasian brains, on the other hand, show increased density in left superior parietal
regions (Kochunov et al., 2003, as cited by Green, et al., 2007). In order to probe these
differences, Green, et al. (2007) used VBM to investigate differences between speakers of
Chinese and speakers of English as a first language. The researchers controlled for underlying
Vocabulary and the Brain 16
differences between Chinese and European brains, and investigated non-Asian speakers of
Chinese as well as Chinese people for whom. They were able to confirm that the effect
observed was due to language, not ethnicity.
In two areas of the left hemisphere (the middle temporal gyrus and in the superior
temporal gyrus, anterior to Heschle‘s gyri) and in two regions of the right hemisphere (the
superior temporal gyrus anterior to Heschles and a region in the inferior frontal gyrus),
speakers of Chinese show highly significant enhanced gray matter, as seen in Figure 4.
Increased gray matter density was observed in the posterior SMG region in speakers of more
than one language, no matter Asian or Western. That area corresponds to the linking of
semantics and phonology seen in the previous adolescent vocabulary acquisition study (Lee,
et al., 2007). Green et al. conclude that the increase in density in gray matter in these areas
may be due to the acquisition of second language vocabulary.
Though the studies that I have outlined above do illustrate that certain areas are activated
during word recall, it cannot be concluded that for language learning, particularly for word
learning, that there is therefore a system dedicated for that purpose. In fact, it has been shown
that there is no dedicated system for word learning, as shown by a study which children learn
the meaning of a new word after being exposed to it only a few times (Markson & Bloom,
1997). In contrast, many other aspects of language learning have been associated with
dedicated systems (e.g. Broca‘s area for grammar learning).
In future research, investigators will be able to do more long-term studies. In addition to
learning about neuroanatomy, we will be able to find how that anatomy became that way. As
Vocabulary and the Brain 17
discussed by Green et al. (1997), it is unlikely that the differences in gray matter density
allow individuals to acquire more vocabulary; rather, it is likely that gray matter density
reflects the binding of sound and meaning, thus gray matter likely grows as a result of
learning. For an example of a vocabulary related task that could be undertaken in this
manner, I predict that researchers may be able to determine the interworking of the spacing
effect, one of the earliest tenets of experimental psychology, which often involve the training
for word pairs, one in the subject‘s native language and the other in an unknown language.
Another interesting topic is that of comparison of the brain and learning between Western
and Asian languages. Nisbett (2003) pointed out that many cultural differences that exist
between Westerners and Asians are related to differences between the languages, and that
even the way that the languages are taught differs greatly, with Western languages focusing
much more on learning nouns than verbs, and almost the opposite occurring in Asian
languages. Green et al.‘s (2007) study showed that speakers and learners of Chinese have
different brain structures than those who do not know Chinese, largely due to phonological
differences. There are many other comparative studies that can show more clearly other
differences in brain structure due to vocabulary differences.
Finally, foreign language experts such as Steven Krashen sometimes criticize
neuroscientists as it places too much attention to focus on meaningless input (Krashen, 2008).
In all the studies we see regarding vocabulary, including those reported above, attributed to
language in general, yet language is actually more about comprehension than about words or
phonology. We saw activation in many areas of the brain in the study by Binder et al. (1997),
meaning that the task of analysis in such comprehension-related neuroscience experiments
would be great. Perhaps as supercomputers become more affordable, neurolinguistic studies
can be conducted for comprehension.
Vocabulary and the Brain 18
After introducing the topic of word learning, I summarized major neuroscientific
techniques, especially neuroimaging. I presented research findings from a number of brain
imaging studies. In the discussion, I drew out some conclusions that could be made on the
basis of these studies, and also presented some studies that caution against overreaching these
What I have learned from writing this paper is about which areas of the brain are most
associated with word learning. I also learned that many of the relevant areas are located next
to the sensory and motor associated with the word. Practically speaking, this implies that to
promote word learning, we should promote rich learning that allows the learner to relate to
the word with sensory (e.g. visual, phonological) and motor areas (e.g. movement).
Additionally, the research provides an insight that the brain changes as we learn more
vocabulary, no matter the age, as vocabulary is learned at all ages.
Vocabulary and the Brain 19
Binder, J. R., Frost, J. A., Hammeke, T. A., Cox, R. W., Rao, S. M., & Prieto, T. (1997).
Human brain language areas identified by functional magnetic resonance imaging.
The Journal of Neuroscience. 17(1), pp. 353 362.
Blakemore, S.-J. & Frith, U. (2005). The learning brain. Oxford: Blackwell Publishing.
Ellis, A. W., Burani, C., Izura, C. Bromiley, A. & Venneri, A. (2006). Traces of vocabulary
acquisition in the brain: Evidence from covert object naming. NeuroImage. 33, pp.
Green, D. W., Crinion, J., & Price, C. J. (2007). Exploring cross-linguistic vocabulary effects
on brain structures using voxel-based morphometry. Bilingualism: Language and
Cognition. 10(2), pp. 189-199.
Krashen, S. D. (2008) Neuroscientific Support for a Meaningless Theory of Reading.
Submitted to Edutopia, December 26, 2008.
Lee, H. L., Devlin, J. T., Shakeshaft, C., Stewart, L. H., Brennan, A., Glensman, J., Pitcher,
K., Crinion, J., Mechelli, A., Grackowiak, R. S. J., Green, D. W., & Price, C. J.
(2007). Anatomical traces of vocabulary acquisition in the adolescent brain. The
Journal of Neuroscience. Vol. 27(5): pp. 1184 1189.
Markson, L. & Bloom, P. (1997). Evidence against a dedicated system for word learning in
children. Science. Vol. 385, pp. 813-815.
Vocabulary and the Brain 20
Musso, M., Moro, A., Glauche, V., Rijntjes, M., Reichenbach, J., B üchel, C., & Weiller, C.
(2003). Broca‘s area and the language instinct. Nature Neuroscience.6(7), pp. 774
Nisbett, Richard E. (2003) The geography of thought: How asians and westerners think
differentlyand why. Chapter 6 Is the world made up of nouns or verbs? London:
Nicolas Brealey Publishing. pp. 137-163
Nobre, A. C., & Plunkett, K. (1997). The neural system of language: Structure and
development. Current Opinion in Neurobiology. Vol. 7. pp. 262-268.
Posner, M. I. & Raichle, M. E. (1997). Images of mind. New York: Scientific American
... Thus, focusing on improving cognitive function may enhance functional recovery in patients with neurological disorders. Many rehabilitation interventions showed their effectiveness in improving cognitive functions, such as jigsaw puzzles, quick card games, vocabulary tasks, learning a new dance, using all five senses simultaneously, learning a new skill, and listening to happy tunes [111][112][113][114][115][116][117]. Using these traditional methods as a cognitive aspect in the current approach may induce neural plasticity changes within the central nervous system. ...
Neurological disorders are those that are associated with impairments in the nervous system. These impairments affect the patient’s activities of daily living. Recently, many advanced modalities have been used in the rehabilitation field to treat various neurological impairments. However, many of these modalities are available only in clinics, and some are expensive. Most patients with neurological disorders have difficulty reaching clinics. This review was designed to establish a new neurorehabilitation approach based on the scientific way to improve patients’ functional recovery following neurological disorders in clinics or at home. The human brain is a network, an intricate, integrated system that coordinates operations among billions of units. In fact, grey matter contains most of the neuronal cell bodies. It includes the brain and the spinal cord areas involved in muscle control, sensory perception, memory, emotions, decision-making, and self-control. Consequently, patients’ functional ability results from complex interactions among various brain and spinal cord areas and neuromuscular systems. While white matter fibers connect numerous brain areas, stimulating or improving non-motor symptoms, such as motivation, cognitive, and sensory symptoms besides motor symptoms may enhance functional recovery in patients with neurological disorders. The basic principles of the current treatment approach are established based on brain connectivity. Using a motor, sensory, motivation, and cognitive (MSMC) interventions during rehabilitation may promote neural plasticity and maximize functional recovery in patients with neurological disorders. Experimental studies are strongly needed to verify our theories and hypothesis.
Full-text available
The aim of the study is to compare anxiety and perception of stress among young adults who are yoga practitioners, to those who do not practice yoga. In this study 120 bengali young-adult people of 25-35 years age were selected for data collection. Among them 60 (30 males and 30 females) candidates were yoga practitioners and other 60 (30 males and 30 females) candidates do not practice yoga. Participants were administered Perceived Stress Scale (PSS) and Beck Anxiety Inventory (BAI) to assess perceived stress and anxiety. The analysis revealed that no significant difference was obtained between male and female yoga practitioners in terms of either anxiety or perception of stress but significant difference was obtained only in case of anxiety for those who do not practice yoga (t=4.22; p<.01). When compared between yoga and non-yoga practitioners, significant difference was obtained only in case of perception of stress (t=6.39; p<.01) but not in anxiety. The study reveals an area indicating that yoga can be an effective technique in reducing some of the psychological disturbances which are not usually deep rooted in nature.
Full-text available
A surprising discovery in recent years is that the structure of the adult human brain changes when a new cognitive or motor skill is learned. This effect is seen as a change in local gray or white matter density that correlates with behavioral measures. Critically, however, the cognitive and anatomical mechanisms underlying these learning-related structural brain changes remain unknown. Here, we combined brain imaging, detailed behavioral analyses, and white matter tractography in English-speaking monolingual adolescents to show that a critical linguistic prerequisite (namely, knowledge of vocabulary) is proportionately related to relative gray matter density in bilateral posterior supramarginal gyri. The effect was specific to the number of words learned, regardless of verbal fluency or other cognitive abilities. The identified region was found to have direct connections to other inferior parietal areas that separately process either the sounds of words or their meanings, suggesting that the posterior supramarginal gyrus plays a role in linking the basic components of vocabulary knowledge. Together, these analyses highlight the cognitive and anatomical mechanisms that mediate an essential language skill.
Full-text available
Children can learn aspects of the meaning of a new word on the basis of only a few incidental exposures and can retain this knowledge for a long period-a process dubbed 'fast mapping". It is often maintained that fast mapping is the result of a dedicated language mechanism, but it is possible that this same capacity might apply in domains other than language learning. Here we present two experiments in which three- and four-year-old children and adults were taught a novel name and a novel fact about an object, and were tested on their retention immediately, after a 1-week delay or after a 1-month delay. Our findings show that fast mapping is not limited to word learning, suggesting that the capacity to learn and retain new words is the result of learning and memory abilities that are not specific to language.
Full-text available
Language acquisition in humans relies on abilities like abstraction and use of syntactic rules, which are absent in other animals. The neural correlate of acquiring new linguistic competence was investigated with two functional magnetic resonance imaging (fMRI) studies. German native speakers learned a sample of 'real' grammatical rules of different languages (Italian or Japanese), which, although parametrically different, follow the universal principles of grammar (UG). Activity during this task was compared with that during a task that involved learning 'unreal' rules of language. 'Unreal' rules were obtained manipulating the original two languages; they used the same lexicon as Italian or Japanese, but were linguistically illegal, as they violated the principles of UG. Increase of activation over time in Broca's area was specific for 'real' language acquisition only, independent of the kind of language. Thus, in Broca's area, biological constraints and language experience interact to enable linguistic competence for a new language.
Full-text available
Given that there are neural markers for the acquisition of a non-verbal skill, we review evidence of neural markers for the acquisition of vocabulary. Acquiring vocabulary is critical to learning one's native language and to learning other languages. Acquisition requires the ability to link an object concept (meaning) to sound. Is there a region sensitive to vocabulary knowledge? For monolingual English speakers, increased vocabulary knowledge correlates with increased grey matter density in a region of the parietal cortex that is well-located to mediate an association between meaning and sound (the posterior supramarginal gyrus). Further this region also shows sensitivity to acquiring a second language. Relative to monolingual English speakers, Italian-English bilinguals show increased grey matter density in the same region.Differences as well as commonalities might exist in the neural markers for vocabulary where lexical distinctions are also signalled by tone. Relative to monolingual English, Chinese multilingual speakers, like European multilinguals, show increased grey matter density in the parietal region observed previously. However, irrespective of ethnicity, Chinese speakers (both Asian and European) also show highly significant increased grey matter density in two right hemisphere regions (the superior temporal gyrus and the inferior frontal gyrus). They also show increased grey matter density in two left hemisphere regions (middle temporal and superior temporal gyrus). Such increases may reflect additional resources required to process tonal distinctions for lexical purposes or to store tonal differences in order to distinguish lexical items. We conclude with a discussion of future lines of enquiry.
Recent neuroimaging and neuropsychological research in adults and infants suggests that the neural system for language is widely distributed and shares organizational principles with other cognitive systems in the brain. Connectionist modelling has clarified that networks operating with associative mechanisms can display properties typically associated with genetically predetermined and dedicated symbolic functions.
One of the strongest predictors of the speed with which adults can name a pictured object is the age at which the object and its name are first learned. Age of acquisition also predicts the retention or loss of individual words following brain damage in conditions like aphasia and Alzheimer's disease. Functional Magnetic Resonance Imaging (fMRI) was used to reveal brain areas differentially involved in naming objects with early or late acquired names. A baseline task involved passive viewing of non-objects. The comparison between the silent object naming conditions (early and late) with baseline showed significant activation in frontal, parietal and mediotemporal regions bilaterally and in the lingual and fusiform gyri on the left. Direct comparison of early and late items identified clusters with significantly greater activation for early acquired items at the occipital poles (in the posterior parts of the middle occipital gyri) and at the left temporal pole. In contrast, the left middle occipital and fusiform gyri showed significantly greater activation for late than early acquired items. We propose that greater activation to early than late objects at the occipital poles and at the left temporal pole reflects the more detailed visual and semantic representations of early than late acquired items. We propose that greater activation to late than early objects in the left middle occipital and fusiform gyri occurs because those areas are involved in mapping visual onto semantic representations, which is more difficult, and demands more resource, for late than for early items.
Neuroscientific Support for a Meaningless Theory of Reading
  • S D Krashen
Krashen, S. D. (2008) Neuroscientific Support for a Meaningless Theory of Reading. Submitted to Edutopia, December 26, 2008.
Anatomical traces of vocabulary acquisition in the adolescent brain
  • H L Lee
  • J T Devlin
  • C Shakeshaft
  • L H Stewart
  • A Brennan
  • J Glensman
  • K Pitcher
  • J Crinion
  • A Mechelli
  • R S J Grackowiak
  • D W Green
  • C J Price
Lee, H. L., Devlin, J. T., Shakeshaft, C., Stewart, L. H., Brennan, A., Glensman, J., Pitcher, K., Crinion, J., Mechelli, A., Grackowiak, R. S. J., Green, D. W., & Price, C. J. (2007). Anatomical traces of vocabulary acquisition in the adolescent brain. The Journal of Neuroscience. Vol. 27(5): pp. 1184 -1189.