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Distinct cortical areas associated with native and second languages [Abstract–Electronic version]

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The ability to acquire and use several languages selectively is a unique and essential human capacity. Here we investigate the fundamental question of how multiple languages are represented in a human brain. We applied functional magnetic resonance imaging (fMRI) to determine the spatial relationship between native and second languages in the human cortex, and show that within the frontal-lobe language-sensitive regions (Broca's area), second languages acquired in adulthood ('late' bilingual subjects) are spatially separated from native languages. However, when acquired during the early language acquisition stage of development ('early' bilingual subjects), native and second languages tend to be represented in common frontal cortical areas. In both late and early bilingual subjects, the temporal-lobe language-sensitive regions (Wernicke's area) also show effectively little or no separation of activity based on the age of language acquisition. This discovery of language-specific regions in Broca's area advances our understanding of the cortical representation that underlies multiple language functions.
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Acknowledgements. We thank D. Krakauer and K. Sigmund for discussion. This work was supported by
the Wellcome Trust (M.A.N.) and the European Community (M.C.B.).
Correspondence should be addressed to M.A.N. (e-mail: martin.nowak@zoo.ox.ac.uk).
Distinct cortical areas
associated with native
andsecondlanguages
Karl H. S. Kim*
, Norman R. Relkin
, Kyoung-Min Lee*
&
Joy Hirsch*
Department of Neurology, * Memorial Sloan-Kettering Cancer Center,
1275 York Avenue, New York, New York 10021, USA
Department of Neurology and Neuroscience, Cornell University Medical College,
1300 York Avenue, New York, New York 10021, USA
.........................................................................................................................
The ability to acquire and use several languages selectively is a
unique and essential human capacity. Here we investigate the
fundamental question of how multiple languages are represented
in a human brain. We applied functional magnetic resonance
imaging (fMRI) to determine the spatial relationship between
native and second languages in the human cortex, and show that
within the frontal-lobe language-sensitive regions (Brocas
area)
1–3
, second languages acquired in adulthood (‘late’ bilingual
subjects) are spatially separated from native languages. However,
when acquired during the early language acquisition stage of
development (‘early’ bilingual subjects), native and second lan-
guages tend to be represented in common frontal cortical areas. In
both late and early bilingual subjects, the temporal-lobe language-
sensitive regions (Wernicke’s area)
1–3
also show effectively little or
no separation of activity based on the age of language acquisition.
This discovery of language-specific regions in Broca’s area
advances our understanding of the cortical representation that
underlies multiple language functions.
Indirect evidence for topographic specialization within the
language-dominant hemispheres of multilingual subjects has been
provided by clinical reports of selective impairments in one or more
of several languages as a result of surgery involving the left
perisylvian area
4
. Multilingual patients with complex partial seizure
disorders of temporal lobe origin have been reported to shift from a
primary to a second language together with ictal progression
5
.
Different languages have also been selectively disrupted in polyglots
by electrical stimulation of discrete regions of the neocortex of the
dominant hemisphere
6,7
. Changes in the topography of background
electroencephalogram (EEG) coherence obtained during transla-
tion tasks also suggest spatial separation of cortical regions involved
in multiple languages
8
. Although these reports are consistent with
the existence of spatially separate representations for each language,
such functions have not been localized.
Silent, internally expressive linguistic tasks were performed in two
languages by subjects who either acquired conversational fluency in
their second languages as young adults (‘late’ bilinguals) or who
acquired two languages simultaneously early in their development
(‘early’ bilinguals) (Table 1). As Brocas and Wernicke’s areas are
known to perform central roles in human language functions
13,912
,
we have focused our observations on these cortical areas.
The main findings for a typical ‘late’ bilingual subject (subject
(A)) are shown in Fig. 1. The anterior language area is highlighted
by the green box and shown expanded in the inset. Red indicates
significant activity during the native language task (English),
whereas yellow indicates activity associated with the second lan-
guage task (French). Two distinct but adjacent centres of activation
(+) separated by ,7.9 mm were evident within the inferior frontal
gyrus, suggesting that two specific regions served each of the two
languages. In the posterior language area of the same subject (Fig.
2), the same tasks yielded centroids of activity with a centre-to-
centre spacing of 1.1 mm, less than the width of a voxel, suggesting
that similar or identical cortical regions served both languages in
this posterior area.
For all six late bilingual subjects, distinct areas of activation were
observed for the native and second languages in Brocas area (Table
2a and Fig. 3). The separation between centroids of activity ranged
from ,4.5 mm to 9.0 mm within one slice, and the number of voxels
for each language was similar for each subject. On the other hand,
activity in Wernicke’s area (Table 2b) showed centre-to-centre
distances between the centre-of-mass centroids ranging from 1.1
to 2.8 mm. The mean centroid distance between the anterior
Figure 1 A representative axial slice from a ‘late’ bilingual subject (A) shows all
voxels that pass the multistage statistical criteria at P # 0:0005 as either red
(native language) or yellow (second acquired language). An expanded view of the
pattern of activity in the region of interest (inferior frontal gyrus, Brodmann’s area
44 (refs 2, 3,18), corresponding to Brocas area
1–3
) indicates separate centroids (+)
of activity for the two languages. Centre-of-mass calculations indicate that the
centroids are separated on this plane by 7.9 mm. The green line on the upper right
mid-sagittal view indicates the plane location. R indicates the right side of the
brain.
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language areas was 6.43 (61.83) mm and exceeded that of the
posterior language areas, which was 1.88 (60.62) mm, for these
subjects (t ¼ 5:43, d:f: ¼ 5, P # 0:004).
The overall stability of the centre-of-mass centroids with varia-
tion in the level of statistical stringency (probability of a false-
positive result, P) is illustrated for subject (A) in Fig. 4. In the case of
the anterior language area, the centre-to-centre distance between
the centroids of activity associated with each language remained
within the range of 7.8 to 9.1 mm over statistical stringency levels
from P # 0:0002 to P # 0:02. In the case of the posterior language
area, the centroids remained within the approximate width of one
voxel, 1.6 mm, over the same range of stringency levels. Similar
results were obtained for all subjects, confirming that threshold
criteria do not account for the centre-to-centre distances between
centroids of activity associated with each language task.
Figure 5 illustrates the main findings for a typical ‘early’ bilingual
subject (subject (G)) for whom the centre-to-centre distance
between the activity centroids (+) of the two activity patterns was
2.3 mm, less than 1.5 voxels (Table 2a). This represents the general
pattern for all six early bilingual subjects, where the mean separation
was 1.53 (60.78) mm. In the case of the posterior language area,
Wernicke’s area, the mean separation for all early bilingual subjects
was 1.58 (60.79) mm, similar to the anterior area.
Our findings are summarized by an analysis of variance (Table 3)
in which language area (Broca’s and Wernicke’s) was compared with
bilingual type (early and late) with respect to the centre-to-centre
distance in millimetres between the two language centroids. Sig-
nificant main effects for language area (P # 0:000059) and bilingual
type (P # 0:000084) with an interaction effect (P # 0:000067) show
that activation sites for the two different languages tend to be
spatially distinct in Brocas area when the second language was
obtained late in life and not when acquired in early childhood; and
Table 1 Subject information
Subject Age Gender Native language(s) Second language Handedness Laterality quotient
24
...................................................................................................................................................................................................................................................................................................................................................................
A 31 M English French Right 60
B 32 M Korean English Right 100
C 28 M Korean English Right 86
D 26 M English Japanese Ambidextrous 20
E 27 F Spanish English Right 100
F 32 F German English Right 60
...................................................................................................................................................................................................................................................................................................................................................................
G 38 F Turkish/English NA Ambidextrous 27
H 27 M English/Hebrew NA Right 85
I 23 M English/Spanish NA Right 100
J 24 F Croatian/English NA Right 89
K 31 M Italian/German NA Right 90
L 32 M Chinese/English NA Ambidextrous 24
...................................................................................................................................................................................................................................................................................................................................................................
Figure 2 Similar to Fig. 1, an expanded view of the pattern of activity within the
superior temporal gyrus (Brodmanns area 22 (refs 2, 3, 18), corresponding to
Wernicke’s area
1–3
) indicates centroids of activity for the two languages in this
posterior language region. Orange indicates that the voxels that passed all
statistical criteria during both the native and acquired language tasks. Centre-
of-mass calculations indicate that the centroids are separated on this plane by
1.1 mm, less than the diameter of a single voxel.
Figure 3 Expanded views of the activity patterns within Brodman’s area 44 (and 46
(refs 2, 3,18), subject B) for each ‘late’ bilingual subjects (AF) indicate the active
regions during the native language task (red) and the second acquired language
task (yellow). The level of statistical stringency (probability of a false positive
result, P) was #0.0005 for each subject. The centre-of-mass is indicated by a plus
sign for each language; area and centre-to-centre (CC) distances are listed in
Table 2a.
Table 3 ANOVA
Source of variation SS d.f. MS F P
A (language area) 52.01 1 52.01 25.70 0.000059
B (bilingual type) 48.80 1 48.80 24.11 0.000084
AB 50.79 1 50.79 25.10 0.000067
Within cell 40.47 20 2.02
.............................................................................................................................................................................
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that Wernicke’s area showed little or no separation of activity
regardless of age of acquisition.
The observation that the anatomical separation of the two
languages in Broca’s area varies with the time at which the second
language was acquired, suggests that age of language acquisition
may be a significant factor in determining the functional organiza-
tion of this area in human brain. Human infants, initially capable of
discriminating all phonetically ‘relevant’differences, may eventually
modify the perceptual acoustic space, based on early and repeated
exposure to their native languages
13
. It is possible that representa-
tions of languages in Broca’s area that are developed by exposure
early in life are not subsequently modified. This could necessitate
the utilization of adjacent cortical areas for the second language
learned as an adult.
The difference between the results of this investigation and a
positron emission tomography (PET) study in which multiple
languages were found to generate overlapping regions of activation
within the inferior frontal gyrus
14
may be reconciled in part by the
higher effective resolution of this fMRI technique. The intrinsic
resolution of the PET H
2
15
O cerebral-blood-flow technique was
5 3 5 3 6 mm
3
and the results from several subjects were combined
and averaged. Individual variability in both the locations of the
language areas and the diversity of brain shapes and gyral patterns of
the subjects averaged together further reduce the effective resolution
of this approach
9,15
, which could account for the discrepancy.
However, on the basis of our findings, the distinction between
native and second languages may be less for younger ages of
exposure to a second language. The average age of initial exposure
to the second language in the PET study was 7.3 years, younger than
that of the late bilingual subjects in our study, and could therefore be
consistent with our observation for early bilinguals.
To render our findings independent of particular languages or
cultural background, our study made use of simple expressive tasks
with similar semantic content across multiple languages and
Table 2 Areas of activation
(a) Anterior language area
Talairach &Tournoux
sectors
18
*
Subject Bilingual type Hemisphere Gyrus
Brodmann’s
area X Y Z
Area L1
(mm
2
)
Area L2
(mm
2
)
CC distance
(mm)
Common voxels
L1 and L2
(%)
...................................................................................................................................................................................................................................................................................................................................................................
A Late Left Inferior frontal 44 d D 12 34.2 34.2 7.9 0
B Late Left Inferior frontal 44, 46 c D, C 12 14.6 12.2 4.5 0
C Late Left Inferior frontal 44 c D 12 12.2 14.6 9.0 0
C9 Late Left Inferior frontal 44 c D 12 15.4 24.2 7.5 0
D Late Left Inferior frontal 44 c B 1 12.2 17.1 4.7 0
E Late Left Inferior frontal 44 c D 12 12.2 12.2 7.0 0
F Late Left Inferior frontal 44 c D 12 33.1 19.8 11.2 0
...................................................................................................................................................................................................................................................................................................................................................................
G Early Left Interior frontal 44 c D 12 107.4 75.7 2.3 50
H Early Left Interior frontal 44 c D 12 12.2 7.3 0.5 60
I Early Left Interior frontal 44 c B 1 41.9 28.6 0.7 46
J Early Left Interior frontal 44 c D 12 8.8 4.4 1.7 20
K Early Left Interior frontal 44 c D 12 123.4 154.2 2.2 45
L Early Left Interior frontal 44 c D 12 44.1 17.6 1.8 22
...................................................................................................................................................................................................................................................................................................................................................................
(b) Posterior language area
A Late Left Superior temporal 22 d G 20 39.1 65.9 1.1 48
B Late Left Superior temporal 22 d G 20 9.8 19.5 1.5 33
C Late Left Superior temporal 22 d F 8 31.7 34.2 2.2 35
C9 Late Left Superior temporal 22 d G 20 19.8 33.1 3.3 26
D Late Left Superior temporal 22 d E 1 43.9 19.5 2.2 30
E Late Left Superior temporal 22 d F 8 22.0 9.8 1.5 18
F Late Left Superior temporal 22 d G 16 83.7 46.3 1.0 18
...................................................................................................................................................................................................................................................................................................................................................................
G Early Left Superior temporal 22 d G 16 4.9 31.7 1.7 15
H Early Left Superior temporal 22 d F 16 56.2 39.1 1.5 56
I Early Left Superior temporal 22 d E 4 94.7 22.0 3.0 23
J Early Left Superior temporal 22 d F 16 15.4 125.6 1.4 12
K Early Left Superior temporal 22 d G 20 121.2 96.9 1.3 62
L Early Left Superior temporal 22 d F 12 48.5 88.1 0.6 48
...................................................................................................................................................................................................................................................................................................................................................................
C9 is a replication of C after 16 months on a different scanner. All observations of area and distance are made at a common level of significants (P # 0:0005).
* See ref.18 where the three-dimensional proportional grid system is described. Columns X, Yand Z indicate coordinates of an orthogonal parallelogram, the dimensions of which vary with
the principal axes of the brain. Each of these volumes is defined by its three dimensions indicated by a capital letter (Y), a lower-case letter (X), and a number (Z).
L1 and L2 refer to the native and second acquired languages for late bilingual subjects, respectively, and the two languages acquired during the early developmental period for the early
bilingual subjects in the respective order as listed on Table 1.
CC distance refers to the centre-to-centre spacing between the centre-of-mass centroids of significant voxels associated with the two languages.
Figure 4 All voxels that pass the statistical criteria during the native (red) and
acquired (yellow) language tasks (subject (A)) are shown for the anterior region of
interest, left, and the posterior region of interest, right, over approximately 3 orders
of statistical stringency (P # 0:0002 to P # 0:02). The centre-to-centre (CC)
distance between the centroids of activity in the anterior area (based on the
centre-of-mass, +), ranges from 7.8 mm at P # 0:0002 to 9.1 mm at P # 0:02,
suggesting that the centroid is nearly independent of cluster size (radial expansion).
Similarly, for the posterior language area, the CC distance ranges from 1.1 to 1.3 mm
(less than the width of a single voxel) over the same level of statistical stringency.
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included subjects with various combinations of languages (Table 1).
Our findings are consistent with distinct roles for the anterior and
posterior language areas in the processing of human language, and
raise further questions regarding the role of Brocas area in proces-
sing the phonetic structures of different languages.
M
. .. . . . . . . . .. . . .. .. . . . . . . . . . .. .. .. . . . . . . . . . .. .. .. .. . . . . . . . .. . . .. .. . . . . . . . . . .. .. .. . . . . . . . . . .. .. .. .. . . . . . . . .. . . .. .. . . . . . . . . .
Methods
Imaging. A 1.5-tesla magnetic resonance scanner (General Electric) retrofitted
(advanced NMR Instascan) for echoplanar imaging and subsequently
upgraded to the GE echoplanar system was used to obtain T2*-weighted
images with a gradient echo pulse sequence (echo time, 60 ms; repetition time,
3,000 ms; flip angle, 308) which is sensitive to magnetic resonance signal
changes caused by alteration in the proportion of deoxyhaemoglobin in the
local vasculature accompanying neuronal activation
16
. Either a volume-
optimized 5 3 5-mesh dome resonator
17
or a General Electric head coil was
employed. The in-plane resolution was 1.6 mm by 1.6 mm. Slice thickness was
4.54.7 mm and 16 contiguous slices of brain were obtained parallel to a
reference line through the superior edge of the anterior commissure and the
inferior edge of the posterior commissure
18,19
. These slices covered the inferior
frontal gyrus (the anterior language region, ‘Brocas’ area including Brod-
mann’s areas 44 and 46) and the posterior superior temporal gyrus (the
posterior language region, ‘Wernicke’s’ area including Brodmanns area
22)
13,18,19
. Thirty images were taken, one every 3 s; thus, an entire run lasted
90 s. The first 10 images (30 s) were acquired during a baseline period, followed
by a stimulation or task period of 10 images (30 s), and a final (30 s) baseline
period also consisting of 10 images. A fixation cross-hair was provided during
the baseline epochs to help the subject to maintain a stable head position.
Analysis. Two identical runs were performed in each language. Before
statistical analysis, all brain images were computationally aligned to allow
direct spatial comparisons between different language tasks for individual
subjects
20
, and a two-dimensional gaussian filter (approximately 3 volume
elements, voxels, at half-height) was applied to the data. Significant signal
changes were identified by a multistage statistical analysis which compared
average baseline and stimulation signal intensities and required significant
signal changes on two runs (coincidence)
21,22
. The rate of false-positive voxels,
p, was empirically determined from images of a copper sulphate solution-filled
spherical phantom (General Electric standard) and found to be less than
0.0005. The centroid of a cluster of language-activated voxels was determined as
the two-dimensional centre of mass, and the centre-to-centre distance between
centroids was taken as the separation (mm) between language-specific activity.
Task. The sentence-generation task was performed silently (internal speech) to
minimize head movement and was similar to tasks previously employed in
neuroimaging language studies
23
. The subject was instructed to ‘‘describe’
events that occurred during a specified period of the previous day (morning,
afternoon, night); this task was practised before the imaging sessions. Imme-
diately before each run, the subject was instructed which language he/she was to
imagine speaking, and graphical cues signalling morning, afternoon, and night
were displayed in various orders for 10 s during the 30-s task period. These
graphics provided common non-linguistic cues for the task and the unpre-
dictable order of presentation presumably reduced the tendency to rehearse
mentally before the cue. The languages were alternated during the imaging
session to prevent habituation and a potentially time-dependent bias.
Subjects. Twelve healthy multilingual volunteers, 9 males and 3 females, were
recruited according to institutional informed consent procedures. Subjects
were either right-handed or ambidextrous, as assessed by the Edinburgh
handedness inventory
24
(Table 1). The mean age of subjects was 29.3 (64.2)
years. Six subjects (‘early’ bilinguals) were exposed to two languages during
infancy, and six subjects (‘late’ bilinguals) were exposed to a second language in
early adulthood. The mean age of initial exposure to the second language was
11.2 (61.5) years and the mean age that conversational fluency was achieved
was 19.2 (64.1) years. Each of the ‘late’ bilingual subjects had lived in the
country of the second language, which assured a high standard for fluency. Each
of the early bilinguals was raised in a home where either the parents spoke one
language and siblings and friends spoke another, or the parents spoke two
languages. Ten languages were represented as indicated on Table 1, and all
subjects reported approximately equal fluency and frequent usage in each
language at the time of testing.
Received 20 February; accepted 30 April 1997.
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Acknowledgements. We thank K. Zakian and D. Ballon for use of the 5 3 5 mesh dome resonator,
J. Victor, G. Krol, J. Posner, R. Cappiello, M. Ruge, D. Correa, S. Harris, J. Salvagno, P. Kuhl, F. Nottebohm,
G. E. Vates and R. DeLePaz for technical assistance and helpful comments, and Y. Popowich, N. Rubin,
T. Ozaki, D. R. Moreno, B. Aghazadeh, D. Barbut-Heinemann, D. Orbach, R. Valencia, J. Carton, E. Go
¨
tte,
R. Ha
¨
rtl, O. Torres and M. Li for volunteering as subjects. Supported by the William T. Morris Foundation
fellowship, the Tri-Institutional MD/Ph.D Program (KHSK); the Charles A. Dana Foundation, Johnson &
Johnson Focused Giving Foundation, Cancer Center Support Grant NCI (J.H.); the C. V. Starr
Foundation and the Lookout Fund (N.R.R.).
Correspondence and requests for materials should be addressed to J. Hirsch (e-mail: hirsch@vision.
mskcc.org).
Figure 5 A representative axial slice from an ‘early’ bilingual subject (G) who
learned English and Turkish simultaneously during early childhood shows all
voxels that pass the multistage statistical criteria at P # 0:0005. Red indicates the
Turkish language task and yellow indicates the English language task. An
expanded view of the region of interest (Brocas area
1–3
) indicates multiple
common voxels between the two language areas. The geometric centres-of-
mass indicate that the centroids are within 1.5 voxels. R indicates the right side of
the brain.
... 1. Age: The Critical Period Hypothesis (CPH) suggests that children must begin learning a language before the age of nine to achieve native-like proficiency. Beyond this period, the brain's neuroplasticity declines, making language acquisition more difficult (Kim et al., 1997;Slobin, 1982). Older learners can still achieve proficiency, but they constitute a minority (Saville-Troike, 2006). ...
... The brain areas responsible for native and foreign language processing are not fully understood, but studies suggest that the native language is often represented in subcortical regions such as the basal ganglia and cerebellum, while second languages are stored more broadly across the cerebral cortex [21]. Functional imaging studies show that early bilinguals (i.e. who learned a second language before the age of 5) exhibit overlapping brain regions for both languages, whereas late bilinguals show distinct regions for each [22][23][24]. This distinction may help explain the occurrence of foreign language syndrome, as differential brain activation during episodes of altered consciousness (e.g., under anesthesia or during NMS) could suppress native language centers while activating regions responsible for the second language. ...
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Background Foreign language syndrome is a rare neuropsychiatric phenomenon typically following general anesthesia. To date, foreign language syndrome has not been associated with neuroleptic malignant syndrome (NMS) in the literature. This case aims to broaden the clinical understanding of NMS by presenting an atypical manifestation of foreign language syndrome and emphasizing the need for prompt recognition of such presentations for accurate diagnosis and management. Case presentation A 34-year-old Caucasian male with a history of schizoaffective disorder and recurrent psychiatric hospitalizations was admitted for a depressive episode. His condition worsened hours after the administration of intramuscular chlorpromazine, leading to NMS characterized by agitation, muscle rigidity, hyperthermia, autonomic instability, abnormal laboratory findings, and altered mental status, including foreign language syndrome. Management included the discontinuation of the prior psychopharmacotherapy, intravenous hydration, and medications (biperiden, lorazepam). The patient showed significant improvement, with resolution of NMS symptoms and normalized sleep patterns by the time of discharge. Conclusion Foreign language syndrome is an exceptionally rare occurrence, with only nine documented cases to date, all involving male patients. This case presents a novel instance of foreign language syndrome in the context of NMS in a male patient, providing insight into the potential sex-specific mechanisms underlying this rare phenomenon. This case adds valuable evidence to the understanding of the clinical spectrum of NMS and highlights the importance of recognizing atypical presentations in managing patients with neuropsychiatric conditions.
... In 1997, Hirsch and his team of researchers (Hirsch et al., 1997) defined Broca's system areas that are used by people speaking in a foreign language. It turns out that humans use different regions of the Broca's area to produce a foreign language, depending on whether the language was acquired in childhood or in adulthood. ...
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The aim of the study was to investigate the influence of foreign language on the performance of the Stroop Test by Polish students. Testing included 26 subjects: 13 women and 13 men aged 19 to 47. In the first part of the RCNb test (reading color names printed in black), subjects read words denoting colors written in black. In the second part of the NCWd test (naming color or word where the color of the print and the word are different) subjects named the color of the font that was used to write the color word. Significant statistical differences in the timing of the two parts of the test were found in relation to the language. Faster execution time for RCNb parts was reported for English tests. In the case of RCNb parts, the fastest time was reported when naming the font color in Polish on an English-language version. In the same situation, the ISSN online 2029-2775 SOCIALINIS DARBAS SOCIAL WORK 2017, 15(2), p. 115-127. Socialinis darbas/Social work  Mykolo Romerio universitetas, 2017  Mykolas Romeris University, 2017 Right versus left hemispheric processing of language in neuropsychology 116 smallest number of errors was reported. Foreign language influences the performance of the Stroop Test.
... Interestingly, in GPTs, knowledge and skills acquired through learning in one language are transferred to other languages, indicating that the central part of the information processing is shared among multiple languages. Similarly, in humans, research on the bilingual brain indicates that when a second language is learned in adulthood, the two languages are processed in separate circuits, whereas when two languages are learned in childhood, they are processed in a shared circuit, resulting in higher performance in the second language 213,214 . The latter characteristics are similar to those of GPTs, which process multiple languages in a single circuit and achieve higher performance. ...
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AI's significant recent advances using general-purpose circuit computations offer a potential window into how the neocortex and cerebellum of the brain are able to achieve a diverse range of functions across sensory, cognitive, and motor domains, despite their uniform circuit structures. However, comparing the brain and AI is challenging unless clear similarities exist, and past reviews have been limited to comparison of brain-inspired vision AI and the visual neocortex. Here, to enable comparisons across diverse functional domains, we subdivide circuit computation into three elements -- circuit structure, input/outputs, and the learning algorithm -- and evaluate the similarities for each element. With this novel approach, we identify wide-ranging similarities and convergent evolution in the brain and AI, providing new insights into key concepts in neuroscience. Furthermore, inspired by processing mechanisms of AI, we propose a new theory that integrates established neuroscience theories, particularly the theories of internal models and the mirror neuron system. Both the neocortex and cerebellum predict future world events from past information and learn from prediction errors, thereby acquiring models of the world. These models enable three core processes: (1) Prediction -- generating future information, (2) Understanding -- interpreting the external world via compressed and abstracted sensory information, and (3) Generation -- repurposing the future-information generation mechanism to produce other types of outputs. The universal application of these processes underlies the ability of the neocortex and cerebellum to accomplish diverse functions with uniform circuits. Our systematic approach, insights, and theory promise groundbreaking advances in understanding the brain.
... The term bilingual refers to all those people whoe use two or more languages or dialects in their everyday lives. 40,[45][46][47][48][49][50][51] It is recommended that in bilingual patients a multiple intra-operative mapping should be performed for all the languages the patients if fluent for. Language testing have to be performed at both cortical and subcortical level, to improve quality of resection and maximally preserve the functional language integrity, avoiding postoperative dysphasia. ...
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Introduction: Broca`s area is a region located in the left inferior frontal gyrus and is classically correlated to language. However, we observe preservation of speech function after tumor resection in this area. Awake surgery with direct brain stimulation is a reliable method to evaluate the functional role in this area. Objective: To evaluate the Broca´s area function. Methods: In a series of 69 patients with tumors in eloquent areas, 7 patients with tumors involving Broca´s area undergoing awake surgery with direct brain stimulation between 2007 and 2017 were retrospectively evaluated. Results: From 7 patients with Broca´s area stimulation, 5 did not show any alteration of speech. One patient, Portuguese native speaker, started to speak in English during the stimulation. The last patient diagnosed with glioblastoma already had a partial speech deficit, and showed a complete interruption of speech during the stimulation of Broca`s area. Conclusions: Broca`s area does not seem to be crucial for language function in patients with gliomas involving this area, particularly in lowgrade gliomas. The direct brain stimulation is a very useful tool to analyze the correlation between anatomy and brain function.
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This book provides an atlas of the normal human brain based on three dimensional reconstructions of magnetic resonance scans obtained in normal living adults as well as neurological patients with focal brain lesions. It provides detailed descriptions of sulci and gyri and illustrates how they appear in different brains. The book shows how different slice orientations obtained in the same brain produce different images that can be anatomically misinterpreted, in normal brains as well as brains with lesions. The book also addresses quantitative differences between the human brain and the brains of apes; gray and white matter differences between the hemispheres; and differences related to gender, age, and congenital deafness. © 1995, 2005 by Oxford University Press, Inc. All rights reserved.
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