| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
(Stroke. 1999;30:2331-2340.)
© 1999 American Heart Association, Inc.
Original Contributions |
From NMR Research Center, Department of Neurology, Henry Ford Health Sciences Center, Case Western Reserve University, Detroit, Mich (Y.C., E.M.V., K.P.G., A.F.J.); Department of Radiology, The University of Chicago Hospitals, Chicago, Ill (E.M.V.); and University of Kansas Medical Center, Kansas City, Kan (K.M.A.W.).
Correspondence to Yue Cao, PhD, Department of Radiology, Michigan State University, 184 Radiology Building, East Lansing, MI 48824. E-mail yue{at}radiology.msu.edu
| Abstract |
|---|
|
|
|---|
MethodsUsing blood oxygenation leveldependent functional MRI (fMRI), we studied cortical language networks during lexical-semantic processing tasks in 7 right-handed aphasic patients at least 5 months after the onset of left-hemisphere stroke and had regained substantial language functions since then.
ResultsWe found that in the recovered aphasic patient group, functional language activity significantly increased in the right hemisphere and nonsignificantly decreased in the left hemisphere compared with that in the normal group. Bilateral language networks resulted from partial restitution of damaged functions in the left hemisphere and activation of compensated (or recruited) areas in the right hemisphere. Failure to restore any language function in the left hemisphere led to predominantly right hemispheric networks in some individuals. However, better language recovery, at least for lexical-semantic processing, was observed in individuals who had bilateral rather than right hemispherepredominant networks.
ConclusionsThe results indicate that the restoration of left-hemisphere language networks is associated with better recovery and inversely related to activity in the compensated or recruited areas of the right hemisphere.
Key Words: aphasia brain magnetic resonance imaging, functional recovery stroke, ischemic
| Introduction |
|---|
|
|
|---|
The purpose of this study was to investigate brain mechanisms for recovery from aphasia via the study of the functional anatomy of aphasic patients who regained substantial language ability after left-hemisphere stroke. Using blood oxygenation leveldependent (BOLD)8 functional MRI (fMRI), we studied cortical language networks during lexical-semantic processing tasks in aphasic patients at least 5 months after stroke onset. We hypothesize that language activity in the compensated or recruited areas of the right hemisphere is inversely related to the restoration of left-hemisphere language networks.
| Subjects and Methods |
|---|
|
|
|---|
|
The protocol was approved by the Human Rights Committee of Henry Ford Hospital. Written consent was obtained from all subjects. All subjects participated in a single functional imaging session.
Assessment of Aphasia Type and Severity
Aphasia type and severity were assessed with the ADP between 1
and 14 days after stroke onset in 5 patients (Table 1
); each had
an ADP aphasia severity score (ADPASS) below the 30th percentile.
Initial ADP assessment was not carried out in 2 patients (patients 6
and 7), but their aphasia types and clinic presentations
were documented with clinical bedside testing. Recovery of language
ability was monitored using the ADP and other language measures
(including picture naming, verb generation, rhyme, and semantic
category judgment). Patients whose ADPASS exceeded the 70th percentile
were enrolled in the fMRI study.
MRI Protocol
All scanning was performed on a 3T MRI scanner (Magnex
Scientific) with resonator head coil and SMIS console. BOLD
contrast functional images were acquired with an RF-spoiled multislice
interleaved excitation cycles (MUSIC)11 gradient
echo-pulse sequence with TE/TR=30/58 ms, FOV 240 mm, matrix size
128x64, slice thickness 9 mm, and flip angle 25°. With this
sequence, 4 (5 in the case of patient 3) contiguous axial sections were
acquired simultaneously through the perisylvian region in
3.6 s. During each language paradigm, 40 functional images per
anatomic section were acquired, making the total scanning time 144
s. Four (or 5) T1-weighted anatomic images (TE/TR=22 ms/600 ms, FOV
240 mm, matrix size 256x192, slice thickness 9 mm) were
acquired at locations corresponding to the functional images. In
addition, T2-weighted anatomic images (TE/TR=68 ms/2800 ms, FOV
240 mm, matrix size 256x192, slice thickness 5 mm) that
covered the entire brain were acquired in all stroke patients to
accurately assess lesion size.
Language Task Paradigms
Picture Naming Paradigm
In the activation condition, a set of 36 black-and-white line
drawings of common concrete objects, chosen from the Peabody Picture
Vocabulary Test,12 was shown to the subject. The subject
was instructed to silently name the objects as they appeared. In the
control condition, nonsense black-and-white line drawings were shown to
the subject to remove activation for early visual processing. The
subject was instructed to look at the nonsense line drawings without
trying to name them or to find any recognizable feature in them. The
nonsense drawings matched the angle of the visual field subtended in
the activation condition and approximately matched the visual
complexity of the line drawings.
Verb Generation Paradigm
In the activation condition, a set of 36 common concrete nouns
was shown to the subject, who was instructed to silently generate a
verb associated with each presented noun (eg, shown the word
"cake," the subject thinks "eat"). In the control condition, 5
forward slashes were presented to the subject to remove
activation for early visual processing. The subject was asked to merely
look at these slashes without doing anything.
For both paradigms, task sets were divided equally into 4 task performance periods and interleaved with 4 control condition periods. During each task performance period, 9 items were presented at a rate of 1 every 2 s, except in the case of patient 2, for whom 6 items were presented at a rate of 1 every 3 s to compensate for her slower performance. Thus, each period was 18 s long, and an entire paradigm was completed in 144 s. A PC-driven, MRI-compatible video system was used to project language tasks onto a screen placed at one end of the scanner bore. Subjects viewed the presented tasks through mirrored goggles while lying supine in the scanner.
Before the scanning, all subjects were trained for the tasks, using stimuli sets different from those presented during scanning. All patients showed that they could perform a task within 2 to 3 s (the rate used during fMRI scanning) and correctly performed at least 70% of the training tasks. If a patient did not meet these standards, the fMRI study was postponed, and the patient was tested again after 3 months.
During fMRI scanning, subjects were interviewed about their task performance immediately after each paradigm performance. They were asked how many pictures (or verbs) they were able to name (or generate). If there was a large discrepancy compared with prescan testing, the patients' data were discarded. One patient who could not reliably describe his performance was excluded from the study (and not reported in this article).
Image Processing
Functional images were brought into alignment by in-planer
translation and rotation before statistical
analysis.13 If major movement of the head
occurred, motion artifact could not be corrected (usually >1.5-mm
translation) and the data were discarded.
Statistical analysis of the functional images was accomplished
by a combination of complex temporal cross-correlation (cc), with sine
and cosine waves having the periodicity of task performance (36
s)14 15 and cluster-size thresholding.16 All
pixels were thresholded at a level of cc magnitude equal to 0.406 and
cc phase centered at -45° and ranging between -90° and 45°, to
yield an estimated 1-tailed type I error of 0.005. Pixels passing the
cc threshold were subject to cluster-size thresholding (
7
(pixels)x0.88 mm2=6.2
mm2), resulting in an estimated false-positive
rate of <0.0006 per pixel to justify the multiple (pixel) comparisons
in an image. This cluster-size threshold, based on true neural activity
that tends to stimulate signal changes over contiguous pixels, can
independently and reliably reject false-positives without incurring
unacceptable losses of power (increase of false-negatives) due to
decreased false-positives.16
Using the phase of the complex temporal cross-correlation of a pixel, we assessed whether the infarct in the brains of chronic stroke patients caused any hemodynamic time delay of the activated pixels in the left (infarcted) hemisphere compared with the right (noninfarcted) hemisphere.
Localization of Activated Pixels
The pixels that passed both cc and cluster-size thresholds in
the functional images were overlapped on the T1-weighted MR images.
Then, each activated pixel was localized to its specific
anatomic gyrus in each individual hemisphere, with use of the anatomic
T1-weighted images and a brain atlas of computerized
images.17 Based on previous observations that language
networks are widely distributed and may extend beyond classic language
areas,18 19 we computed activated volumes in 2
extended putative cortical language regions. The anterior region
(labeled inferior frontal lobe [IFL] in the Results
section) included the inferior and middle frontal gyri, and
the posterior region (labeled inferior parietal and
superior temporal lobes [IPSTL] in Results) included the
supramarginal, angular, and superior temporal gyri.
Hemispherical Language Lateralization
A lateralization index (LI)20 21 22 was calculated by
subtracting the activated volume observed in a region of the
right hemisphere (VR) from the activated
volume in the same region of the left hemisphere
(VL) and dividing the difference
(VL-VR) by the total
activated volume in that region
(VL+VR). Thus, an
LI=(VL-VR)/(VL+VR)
of 1.0 corresponded to complete left lateralization, an LI of 0.0
indicated bilateral activation, and an LI of -1.0 indicated complete
right lateralization. Statistical differences of activated
volumes in the left and right hemisphere as well as the total
activated volumes of both hemispheres between the patient and
normal group were assessed by the Student t test. If the
total activated volumes of the 2 groups were approximately
equal, an LI could be used to identify any shift of hemispheric
language lateralization in the patient group compared with the normal
group. To validate this, in the 2 cortical regions defined above,
differences of activated volumes in the left and right sides
and LIs between the patient and normal groups were assessed. The
Mann-Whitney Rank test and Student t test were used to
analyze LIs and activated volumes between the 2 groups,
respectively. Because these statistical analyses (left, right,
and total) were done in 2 separated cortical regions, P=0.01
was used as a significance level to justify multiple comparisons.
Factors Contributed to Recovery
Factors contributed to recovery of naming ability were assessed.
A multiple regression model (probability 0.05 of F-to-enter) was used
to test whether naming scores measured by the ADP at the time of fMRI
study were significantly determined by any of following factors:
recovery time (measured by time intervals between stroke onset and the
study), fMRI measures (eg, activated volumes in left and/or
right cortical regions and LIs in the anterior or posterior cortical
regions), initial naming deficits, and age.
| Results |
|---|
|
|
|---|
|
|
The verb generation task activated a cortical network that
mainly included the left IFL and IPSTL, and the regions adjacent to the
left IPS. A typical example is shown in Figure 1
(bottom row).
To a smaller extent, the right homologous regions were also
activated. During this task, respective activated
volumes of tissue in the left and right IFL were 1.34±0.19
cm3 and 0.34±0.08 cm3
(mean±SEM), with a mean LI of 0.583 (Table 2
).
Activated volumes in the respective left and right IPSTL were
0.67±0.15 cm3 and 0.26±0.07
cm3 (mean±SEM), with a mean LI of 0.475 (Table 2
). Activated volume in the left IPS was 0.59±0.13
cm3 (mean±SEM). Other activated cortical
structures included the occipital lobe, and to a small degree the
insula, and anterior cingulate gyrus. The mean volumes of cortical
activation in the left and right hemispheres were 3.56±0.43
cm3 and 1.59±0.22 cm3
(mean±SEM), respectively.
Although for the control group as a whole, left-hemispheric language dominance was observed during both tasks, in men LI primarily lateralized to left; in women, approximately half had left lateralization and the other half bilateral representation. No age difference was observed.
Clinical Presentation of Patients
At initial clinical evaluation (on the first day of symptom
onset), 3 patients (patients 2, 5, and 7) had global aphasia, 2
(patients 3 and 4) had Wernicke's aphasia, 1 (patient 6) had a
transcortical motor aphasia, and 1 (patient 1) had mixed nonfluent
aphasia (Table 1
). In 4 patients (patients 2, 3, 4, and 6), the
initial aphasia types were stable over the first 4 days. In the other 3
patients, by 4 days after onset of stroke their aphasia profiles had
evolved (Table 1
). Aphasia was caused by occlusion of the left
middle cerebral artery in 5 patients (patients 1, 2, 4, 5, and 7), by
occlusion of the left internal carotid artery in patient 3, and by
dissection of the left internal carotid artery in patient 6. Figure 2
illustrates the extent of the infarct
of the patients, and a brief description of the location of the infarct
is also provided in Table 1
. The largest dimension of the
infarct, measured on cross-sectional T2-weighted MR images obtained at
the time of the fMRI study, varied from 39 to 82 mm (Table 1
). By the time of study, 5 to 144 months after the onset of
aphasia, all patients had made substantial improvement in their
language abilities, with the ADPASS at least in the 73rd percentile,
but the majority still had a mild aphasia (Table 1
). Their
scores on a naming subtest of ADP varied from the 63rd to 91st
percentiles (Table 3
).
|
|
Activation Patterns of Individual Patients
To elucidate the individuality of activation patterns in aphasic
patients, we will briefly highlight below some of the unique
differences in each patient.
Patient 1 participated in the picture naming and verb generation tasks
32 months after stroke onset, through which her ADPASS has improved
from the 8th to the 89th percentiles (Table 1
). During picture
naming, extensive activated tissue volumes were observed in the
left SMG (0.75 cm3, 290% of mean
activated control volume), the cortical regions adjacent to the
left IPS (1.35 cm3, 830% of control volume), the
right STG and MTG (0.89 cm3, 440% of control
volume), and the right IFG (0.325 cm3, 200% of
control volume). No activation was observed in the left IFG and the
MFG, part of which was damaged by infarct.
During verb generation, tissue volumes were activated in the left MFG anterior to the infarct (0.49 cm3, 35% of control volume), the right SMG and AG (0.39 cm3, 370% of control volume), and the right insula (0.21 cm3, 240% of control volume). Activity in the left inferior parietal lobe (SMG and AG) and left IPS was negligible despite this region's being structurally intact.
Patient 2 participated in the picture naming paradigm 22 months after
stroke onset, through which her ADPASS has improved from <1st to the
81st percentiles (Table 1
). During the naming study, activation
was in right-hemisphere structures almost exclusively (accounting for
92% of all cortical activity). Activated volumes were found in
the right SMG and AG (0.96 cm3, 825% of mean
control volume), the right IFG and MFG (0.47 cm3,
225% of normal volume), the right insula (0.48
cm3, 600% of normal volume), and the right STG
(1.31 cm3, 740% of normal volume). The left
hemisphere was markedly void of activity (Figure 3
); activation was detected only in the
left MFG and left STG (65% and 20% of control volume,
respectively).
|
Patient 3 participated in the picture naming and verb generation tasks
5 months after stroke onset, through which her ADPASS has improved from
the 18th to the 79th percentiles (Table 1
). During picture
naming, large-order activation was observed in the right IFG and MFG
(0.97 cm3, 470% of mean control volume), the
right STG (0.35 cm3, 200% of control volume),
the right insula (940% of control volume), and the cingulate gyrus
bilaterally (anterior, 500% of control volume; posterior, 600% of
control volume). Activated volumes were decreased in the left SMG and
AG (0.16 cm3, 30% of control volume) and the
left STG (0.09 cm3, 50% of control volume).
During verb generation, large-order activation was observed in the right SMG and AG (0.56 cm3, 530% of control volume), the right anterior cingulate gyrus (0.11 cm3, 200% of control volume), and the STG and MTG bilaterally (right, 1.02 cm3, 570% of control volume; left, 0.70 cm3, 230% of normal volume). Activation in left and right inferior frontal regions did not differ from normals. Despite the infarct's involving only a small portion of the anterior-inferior parietal lobe, the entire inferior parietal lobe failed to activate.
Patient 4 participated in the picture naming paradigm 27 months after
his stroke, through which his ADPASS has improved from the 30th to the
99th percentiles (Table 1
). During picture naming, there was
marked activation in the right IFG and MFG (1.83
cm3, 880% of control volume) and 3 separate
posterior brain regions: the left postcentral gyrus immediately
anterior to the infarct (0.48 cm3, 800% of
normal volume), the left inferior parietal region,
including the SPL posterior to the infarct (0.64
cm3, 570% of control volume), and the left STG
inferior to the infarct (0.54 cm3,
150% of control volume). Left inferior frontal activity
was normal.
Patient 5 participated in the picture naming paradigm 30 months after
stroke, through which her ADPASS has improved from <1st to the 73rd
percentiles (Table 1
). During picture naming there was bilateral
activation in both inferior frontal and
inferior parietal regions. In the right IFG and MFG,
activated volumes did not differ from mean control volumes
(0.21 cm3 ; however, left IFG and MFG activity was markedly
reduced to 0.16 cm3 (25% of control volume) and
shifted anterior to the infarct. The activated volume in the
right SMG and AG was increased (0.62 cm3 530% of
normal volume), whereas left SMG and AG activated volumes were
normal compared with control volume (0.51 cm3).
Minimum activation was observed in superior temporal regions.
Patient 6 participated in the picture naming and verb generation
paradigms 5 months after stroke, through which her language abilities
have improved, her aphasia type has changed from mixed transcortical
aphasia to anomia, and her ADPASS has reached the 92nd percentile
(Table 1
). During picture naming, activated volumes were
observed in the IFG and MFG bilaterally (left, 0.58
cm3, equal to mean control volume; right, 0.35
cm3, 170% of control volume) and in the AG
bilaterally (left, 0.22 cm3, equal to control
volume; right, 0.26 cm3, 510% of control
volume). There was a small volume of activation in the left anterior
STG. No activity was recorded in undamaged left SMG, despite this
region's being activated in normal controls.
During verb generation, the activated network in this patient
compared with control subjects was mirrored across the midhemispheric
line (Figure 4
). Large volumes were
activated in the right SMG and AG (0.98
cm3, 930% of mean control volume), the banks of
the right IPS (1.57 cm3, 740% of control
volume), the right STG (0.36 cm3, 200% of
control volume), and the IFG and MFG bilaterally (left, 2.46
cm3, 180% of control volume; right, 2.40
cm3, 700% of control volume). Small volumes of
tissue were also activated along the banks of the left IPS
(0.35 cm3, 60% of control volume) and the left
STG (0.14 cm3, 50% of control volume). As with
picture naming, activity was depressed in the left inferior
parietal lobe, including the SMG and AG.
|
Patient 7 participated in the study 12 years after his stroke. At the
time of study, he still suffered anomia, and his ADPASS was at the 84th
percentile (Table 1
). Data collected during picture naming were
discarded due to motion artifact. During verb generation,
activated volumes were observed in the bilateral IFG and MFG
(left, 1.09 cm3, equal to mean control volume;
right, 0.81 cm3, 240% of control volume), the
right MTG (0.49 cm3, 21-fold larger than control
volume), the right SMG and AG (1.06 cm3, 10-fold
larger than control volume), the left posterior cingulate gyrus (1.13
cm3, 45-fold larger than control volume), and the
left STG (0.32 cm3, equal to control volume).
Such bilateral activation in the IFG and MFG was rarely observed in
normal males. The activated volume along the banks of the left
IPS was 0.39 cm3 (60% of control volume),
whereas the left SMG and AG were void of activity, despite being
structurally intact.
Summary of Patient Group
(1) The infarct that caused language deficits in the patients did
not reduce the total activated brain volumes after patients had
substantially regained their language abilities. The mean total
activated volumes observed in the patient group during picture
naming and verb generation were 4.27±0.73 cm3
(mean±SEM) and 5.35±1.25 cm3 (mean±SEM),
respectively, and were not significantly different from those observed
in the control group (3.79±0.44 cm3 and
5.15±0.57 cm3, respectively) (Figure 5
). However, activated volumes in
the patient group were increased in the right hemisphere and decreased
in the left hemisphere during both paradigms compared with those in the
normal group (Figure 5
). The increased right-hemisphere
activation in the patient group was statistically significant
(P<0.03) during picture naming and marginally significant
(P<0.06) during verb generation. The decreased activation
in the left hemisphere of the patient group was not significant during
either paradigm (P>0.1).
|
(2) The increased role of the right hemisphere in lexical-semantic
processing of the patients was clearly evidenced by activation in the 2
extended putative cortical language regions (IFL and IPSTL). During
picture naming, activation in the IFL and IPSTL of the patient group
was significantly right shifted with P<0.001 and
P<0.02, respectively (Table 2
). These right shifts
were supported by both right-shifted LIs or increased activated
volumes on the right side (Table 2
). During verb generation, a
significant right-shifted activation was observed in the posterior
cortical language region (IPSTL) of the patient group compared with
that of the normal group. Again, this right shift was evidenced from
either the right-shifted LI (P<0.01) or the increased
activated volume on the right side (P<0.001; Table 2
). However, in the IFL region, the patient group showed
increased activation on the right side (P<0.06), whereas
the 2 groups had approximately equal activation volumes on the
left side, which was substantially involved in verb generation in
normal subjects23 (Table 2
).
(3) Activation in the patients' left hemispheres was shifted posteriorly or anteriorly, away from the site of the infarct. Such shifts were often associated with decreased activity in other intact regions of the left hemisphere. This behavior was observed during picture naming in patient 4, in whom activity had shifted both anteriorly and posteriorly to his left inferior parietal infarct. In patient 5, IFL activity during naming shifted anteriorly to the infarct, located in the left frontal and parietal lobes, and the basal ganglia. In patient 1, in whom the infarct was located in the frontal and opercular regions, activation during naming shifted posteriorly in the region of the IPS.
(4) Some undamaged regions in the patients' left hemispheres, usually activated in normal subjects, failed to activate. Specifically, during verb generation, activity in the left SMG was completely absent in 3 patients (patients 3, 6, and 7), and during picture naming it was absent in 4 patients (patients 2, 3, 4, and 6). During verb generation, the left AG was always activated in normal subjects but was not activated in any of the patients, despite only 2 patients having damaged part of the AG. The region surrounding the left IPS (in which activation was observed in normal subjects and believed to be associated with written lexicon decoding and early semantic processing; findings will be published elsewhere) was activated to some extent (40% of normal volume), even though no patients had infarcts in this region. Possibly, language networks linked to these regions were disrupted.
(5) The naming score at the time of fMRI study was significantly
correlated with 2 independent variables: recovery time and LI in
the IFL region (R2=0.934, F=21.2;
P<0.017, by multiple regression). This was assessed in the
6 patients whose picture naming data were reported here. Details of the
regression model are provided in Table 3
. There was no
significant interaction between recovery time, the LI, initial naming
deficits, and age. Age was not significantly correlated with the extent
of recovery of naming ability or any fMRI measurements (LI and
activated volumes). Lesion size, interacted with initial naming
deficits, was marginally correlated with the final naming scores.
(6) No delay response of BOLD effects in the left infarcted hemisphere was detected. With a temporal resolution of 3.7 s, no abnormal time delay of BOLD effects in the activated pixels of the patients' left hemispheres was detected, compared with those in the right hemisphere.
| Discussion |
|---|
|
|
|---|
In PET studies, the restitution of left-hemisphere language functions has been mainly attributed to structural repair of the damaged region rather than to the compensatory activation of the areas bordering the infarct.3 24 The use of intersubject averaging may obscure the evidence of activation in border zones. In our fMRI study, shifted language activity within 1 or 2 gyri of the infarct margin is often observed in patients whose initial aphasia is less severe, eg, patients 1 and 4. Both structural repair of damaged tissue and activation in these border zone regions should be considered to contribute to the restitution of damaged left-hemisphere networks.
Whether right-hemisphere activation in recovering aphasics involves the re-activation of a preexisting language network3 24 or recruitment of new language areas is unanswered. No evidence in the literature clearly supports one hypothesis over another. In a recent study of 37 normal right-handed adults, lexical-semantic processing networks were completely left dominant in only 32% of the subjects and bilaterally distributed in 26%, with a higher prevalence of bilaterality in females than males.26 In the remaining subjects, the distribution of the networks varied between completely left dominant and bilateral. Visual tachistoscopic studies have shown that the right hemisphere has some rudimentary language ability.27 Split-brain studies have shown that the right hemisphere is capable of processing simple linguistic inputs but is not quite capable of language output.28 These findings suggestively support, but not exclusively, the hypothesis that after left-hemisphere damage, preexisting language areas in the right hemisphere are reactivated.
There is little doubt that the right hemisphere contributes to recovery
from aphasia after left-hemisphere stroke. The question remains as to
its precise role and how the hemispheres interact during recovery. A
longitudinal (1-year) CBF study1 of recovering aphasic
patients given a word comprehension task showed that good recovery in
patients with left inferior-frontal lesions was associated
with diffuse right-hemisphere CBF activation within 3 months after
stroke but with an increase in left posterior
temporalinferior parietal activation at 5 to 12 months
after stroke. In contrast, patients with left posterior
temporal-parietal lesions and poor recovery had higher CBF in the right
inferior frontal region 5 to 12 months after stroke than
within 3 months. In our patients, who still had mild residual anomia at
the time of the study but had improved substantially in naming ability,
we observed a significant rightward shift of activation during picture
naming compared with that in normal controls. The degree of right shift
in the inferior frontal lobe was inversely correlated with
the extent of recovery of naming ability (Table 3
). In other
words, better recovery was associated more with bilateral activation in
the inferior frontal lobe than with activation that was
predominantly right sided. For example, in patients 1 and 2, who had
not only severe left frontal damage but also slow recovery of naming
ability, activation was primarily on the right side. In patient 6,
whose infarct spared the inferior frontal lobe and who
recovered naming ability more quickly, activation in the
inferior frontal lobe was bilateral, with weak left
dominance. During aphasia recovery, the right inferior
frontal lobe was recruited in these patients, forming either a
right-dominant or bilateral network. Nevertheless, the right
inferior frontal lobe alone seems less effective than both
inferior frontal lobes working together. The statistical
analysis of the data across the sample indicates that the
restoration of left-hemisphere networks is associated with better
recovery and inversely related to language activity in the right
hemisphere. A recent investigation of the aphasic brain reported a
similar finding: the metabolic recovery of the left
superior temporal cortex was significantly inversely correlated with
fluency taskinduced activation of the right superior temporal cortex
and the number of errors made in the Token test.24 The
authors concluded that the permanent loss of left superior temporal
activity reinforced the compensatory activity of the right hemisphere
and that the left-hemispheric structural reorganization was
significantly more effective than the right-hemisphere
compensation.24 Our data provide support for these types
of recovery mechanisms. A longitudinal study in the future will
evaluate these hypotheses further.
The observation of the conservation of the total activated
volumes in this study also supports the concept of left- and
right-hemisphere interaction during recovery. The infarct did not
significantly reduce or increase the total activated volumes in
our patients. Intuitively, a bilateral or right-sided network would
require more cortical regions to accomplish a language task than the
original left-sided network, particularly since the right hemisphere
seems to be less effective for language than the left hemisphere. Our
data do not support this assumption. Instead, they provide further
evidence that the compensatory (or recruited) activity in the right
hemisphere is inversely related to the degree of recovery in the left
hemisphere. We are aware that we considered only the regions
activated above a threshold, and subthreshold activity could be
relevant as well. The conservation of the total activated
volumes needs to be further evaluated in a large longitudinal study.
Along with the scientific interest of the conservation of the total
activated volumes in both hemispheres, this unique finding also
allows us to use the LI to assess a language hemispheric shift, because
activated volumes decrease on one side and increase on the
other. This has been validated in our data by assessing
activated volumes in the left and right hemispheres,
respectively, as well as the LI (Table 2
). Furthermore, 2 other
fMRI studies21 22 have validated the lateralization index
during semantic decision tasks when compared with intracarotid
amobarbital assessment of hemispheric dominance in epilepsy
patients.
Speech-language disorders can be caused by disruption anywhere in the
complex language networks. In the aphasic brain, failure to
activate undamaged left-hemisphere structures usually
activated in healthy controls is common. Instead, other right-
or left-hemisphere regions are often activated. For example, in
patient 6, who had a superior frontal infarct, no activation was seen
in the left inferior parietal regions, but the right mirror
region was activated (Figure 4
). The deactivation in the
left inferior parietal region appears to be caused by a
disconnection from the rest of the language network, which is
subsequently connected with the right homologous region for
compensation of the loss of function. Similar observations have been
made of metabolic depression that extended beyond the
infarct into other regions of the affected hemisphere and even into the
unaffected hemisphere.29
We studied brain activation in a group of aphasic patients who had different lesion sites and linguistic processing disturbances. This heterogeneity reflects the nature of the stroke population. The different patterns of the redistributed language networks in recovering aphasics also reflect individualized recovery process, which can be affected by many factors, including lesion size and location, recovery time, aphasia severity, age, and therapeutic intervention. With individual patients, the redistributed language networks may also vary greatly according to specific language task demands and depending on the specific functions disrupted after stroke onset. Functional MRI appears to be an ideal method to investigate these factors in patients with different behavioral, anatomic, and pathological profiles. Despite the variation, all of our patients had recovered a considerable degree of language function since stroke onset. In this initial study, we grouped the patients' data to elucidate general roles of the left and right hemispheres in language recovery after stroke. Patients who progress toward normal, even though they have different types and degrees of language disruption initially, may share similar recovery mechanisms.
In this study, we used language tasks generally applied to heterogeneous aphasic populations. For example, we chose a confrontation-naming task because naming problems occur in all types of aphasia, although failure to name an object can have different underlying processing disturbances. An additional consideration of the chosen tasks was that the underlying cognitive-linguistic components and their associated functional anatomy have been well established.19 30 31 32 According to information-processing models,33 picture naming is composed of (1) early visuospatial processing of a picture, (2) visual recognition of an object, (3) semantic processing, and (4) phonological retrieval of the word. Our control condition, viewing nonsense line drawings, reasonably removes early visual processing but might not eliminate processing associated with object recognition. Separating object recognition processing from the retrieval of an object's name is quite difficult. Neuroimaging data, however, indicate several cortical regions associated with object recognitionthe right lateral-posterior occipital lobe34 and the bilateral posterior fusiform gyri.35 We therefore excluded these areas from our analysis of language activation. On the other hand, semantic processing and phonological retrieval of a word have been shown to be left hemispheredominant functions in normal right-handers.19 26 30 Verb generation involves (1) visuospatial processing of the seen word,(2) orthographic processing of the individual letters and whole word, (3) semantic processing, and (4) phonological retrieval of the word. Also, a verb is functionally distinct from a noun.33 To remove early visual processing, we used 5 forward slashes as a control condition, which has been previously used in an fMRI study of word reading.36 Again, orthographic processing of the individual letters and whole word is left-hemisphere dominant in normal right-handers.30 Considering that our patients had no occipital infarcts and no visual and object-recognition deficits, there is little reason to suppose that the anatomic locations of these functions in the patients differed from those in normal persons. Therefore, the cortical regions included in our analysis most likely are not part of the networks involved in the visuospatial processing and object recognition. Another challenge faced in the study was controlling for task difficulty and attention. Increase of task difficulty may enlarge activated volumes.37 In this initial study, we selected a group of patients who had mild deficits after a prolonged period of recovery. The task, although designed to be simple, may still be cognitively challenging for patients. This is an unavoidable difficulty for this kind of study. Because the total volume of activated tissue was approximately equal in the control and patient groups, task difficulty most likely was not a major factor altering brain activity patterns in the patients.
Because of concerns over motion artifact caused by mouth movement,38 language production during the fMRI scanning was done "silently," with subjects thinking their answers, not speaking them. As a result, we did not monitor subject performance during scanning, which may have been a shortcoming in our method. Nevertheless, "silent language" produced activation patterns similar to those of spoken language.38 To ensure that subjects followed the instructions and performed the tasks, before scanning we evaluated and documented the subjects' naming and verb generation abilities. We also interviewed them immediately after each paradigm to confirm that they had been attentive and performed the task successfully.
In summary, with fMRI we investigated cortical language activation in patients recovering from aphasia after a single left-hemisphere ischemic infarct. The results indicate that 2 factors contributed to recoveryrestitution of damaged left-hemisphere language networks and activation of compensated (or recruited) areas in the right hemisphere. The results also suggest that after focal left-hemisphere damage, a bilaterally reorganized language network works more effectively than a right-predominant network. Finally, it appears that compensatory right-hemisphere language activity is inversely related to the restoration of the left-hemisphere language networks, which is associated with a better outcome.
| Acknowledgments |
|---|
Received June 10, 1999; revision received August 12, 1999; accepted August 19, 1999.
| References |
|---|
|
|
|---|
2. Demeurisse G, Capon A. Brain activation during a linguistic task in conduction aphasia. Cortex.. 1991;27:285294.[Medline] [Order article via Infotrieve]
3. Weiller C, Isensee C, Rijntjes M, Huber W, Muller S, Bier D, Dutschka K, Woods RP, Noth J, Diener HC. Recovery from Wernicke's aphasia: a positron emission tomographic study. Ann Neurol.. 1995;37:723732.[Medline] [Order article via Infotrieve]
4.
Ohyama M, Senda M, Kitamura S, Ishii K, Mishina M,
Terashi A. Role of the nondominant hemisphere and undamaged area during
word repetition in poststroke aphasics. Stroke.. 1996;27:897903.
5. Basso A, Gardelli M, Grassi MP, Mariotti M. The role of the right hemisphere in recovery from aphasia: two case studies. Cortex.. 1989;25:555566.[Medline] [Order article via Infotrieve]
6.
Kinsbourne M. The minor hemisphere as a source of
aphasic speech. Arch Neurol.. 1971;25:302306.
7. Gainotti G. The riddle of the right hemisphere's contribution to the recovery of language. Eur J Disord Commun.. 1993;28:227246.[Medline] [Order article via Infotrieve]
8. Ogawa S, Lee T, Nayak AS, Glynn P. Oxygenation-sensitive contrast in magnetic resonance image of rodent brain at high magnetic fields. Magn Reson Med.. 1990;14:6878.[Medline] [Order article via Infotrieve]
9. Helm-Estabrooks N. Aphasia Diagnostic Profiles. San Antonio, Tex: Special Press; 1991.
10. Oldfield RC. The assessment and analysis of handedness the Edinburgh Inventory. Neuropsychologia.. 1971;9:97113.[Medline] [Order article via Infotrieve]
11. Loenneker T, Hennel F, Henning J. Multislice interleaved excitation cycles (MUSIC): an efficient gradient-echo technique for functional MRI. Magn Reson Med.. 1996;35:870874.[Medline] [Order article via Infotrieve]
12. Dunn A. The Peabody Picture Vocabulary Test. Minneapolis, Minn: American Guidance Service; 1965.
13. Cao Y, Towle VL, Levin DN, Balter JM. Functional mapping of human motor cortical activation by conventional MRI at 1.5 T. J Magn Reson Imaging.. 1993;3:869875.[Medline] [Order article via Infotrieve]
14. Bandettini PA, Jesmanowicz A, Wong EC, Hyde JS. Processing strategies for time-course data sets in functional MRI of the human brain. Magn Reson Med.. 1993;30:161165.[Medline] [Order article via Infotrieve]
15. Lee AT, Glover GH, Meyer CH. Discrimination of large venous vessels in time-course spiral blood-oxygen-level-dependent magnetic-resonance functional neuroimaging. Magn Reson Med.. 1995;33:745754.[Medline] [Order article via Infotrieve]
16. Forman SD, Cohen JD, Fitzgerald M, Eddy WF, Mintun MA, Noll DC. Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): use of a cluster-size threshold. Magn Reson Med.. 1995;33:636647.[Medline] [Order article via Infotrieve]
17. Damasio H. Human Brain Anatomy in Computerized Images. New York, NY: Oxford University Press; 1995.
18.
Binder JR, Frost JA, Hammeke TA, Cox RW, Rao SM, Prieto
T. Human brain language areas identified by functional magnetic
resonance imaging. J Neurosci.. 1997;17:353362.
19. Bookheimer SY, Zeffiro TA, Blaxton T, Gaillard W, Theodore W. Regional cerebral blood flow during object naming and word reading. Hum Brain Mapping.. 1995;3:93106.
20. Vikingstad EM, Cao Y, George KP, Faull J, Johnson A, Welch KMA. Studies of language systems in recovered aphasic stroke patients using functional MRI. J Cereb Blood Flow Metab. 1997;17(suppl 1):S272. Abstract.
21.
Binder JR, Swanson SJ, Hammeke TA, Morris GL, Mueller
WM, Fischer M, Benbadis S, Frost JA, Rao SM, Haughton VM. Determination
of language dominance using functional MRI: a comparison with the Wada
test. Neurology.. 1996;46:978984.
22.
Desmond JE, Sum JM, Wagner AD, Demb JB, Shear PK,
Glover GH, Gabrieli JDE, Morell MJ. Functional MRI measurement of
language lateralization in Wada-tested patients. Brain.. 1995;118:14111419.
23. Petersen E, Fox PT, Posner M, Mintun M, Raichle M. PET studies of the cortical anatomy of single word processing. Nature.. 1988;331:585589.[Medline] [Order article via Infotrieve]
24. Karbe H, Thiel A, Weber-Luxenburger G, Herholz K, Kessler J, Heiss WD. Brain plasticity in poststroke aphasia: what is the contribution of the right hemisphere. Brain Lang.. 1998;64:215230.[Medline] [Order article via Infotrieve]
25.
Heiss W-D, Kessler J, Karbe H, Fink GR, Pawlik G.
Cerebral glucose metabolism as a predictor of recovery from
aphasia in ischemic stroke. Arch. Neurology.. 1993;50:958964.
26. Vikingstad EM, Cao Y, George KP, Faull JA, Johnson AF, Welch KMA. Studying distributions in cortical language lateralization using functional MRI. J Cereb Blood Flow Metab. 1997;17(suppl 1):S273. Abstract.
27. Iacoboni M, Zaidel E. Hemispheric independence in word recognition: evidence from unilateral and bilateral presentations. Brain Lang.. 1996;53:121140.[Medline] [Order article via Infotrieve]
28.
Kutas M, Hillyard SA, Gazzaniga MS. Processing of
semantic anomaly by right and left hemispheres of commissurotomy
patients: evidence from event-related brain potentials.
Brain.. 1988;111:553576.
29. Cappa SF, Perani D, Grassi F, Bressi S, Alberoni M, Franceschi M, Bettinardi V, Todde S, Fazio F. A PET follow-up study of recovery after stroke in acute aphasics. Brain Lang.. 1997;56:5567.[Medline] [Order article via Infotrieve]
30. Petersen SE, Fiez JA. The processing of single words studied with positron emission tomography. Annu Rev Neurosci.. 1993;16:509530.[Medline] [Order article via Infotrieve]
31.
Damasio AR, Tranel D. Nouns and verbs are retrieved
with differently distributed neural systems. Proc Natl Acad Sci
U S A.. 1993;90:49574960.
32. Kertesz A, Harlock W, Coates R. Computer tomographic localization, lesion size and prognosis in Aphasia and nonverbal impairment. Brain Lang.. 1979;8:3450.[Medline] [Order article via Infotrieve]
33. Ellis AW, Young AW. Human Cognitive Neuropsychology. Hillsdale, NJ: Lawrence Erlbaum Associates; 1988.
34.
Malach R, Reppas JB, Benson RR, Kwong KK, Jiang H,
Kennedy WA, Ledden PJ, Brady TJ, Rosen BR, Tootell RB. Object-related
activity revealed by functional magnetic resonance imaging in human
occipital cortex. Proc Natl Acad Sci U S A.. 1995;92:81358139.
35. Haxby JV, Ungerleider LG, Clark VP, Schouten JL, Hoffman EA, Martin A. The effect of face inversion on activity in human neural systems for face and object perception. Neuron.. 1999;22:189199.[Medline] [Order article via Infotrieve]
36.
Pugh KR, Shaywitz BA, Shaywitz SE, Constable RT,
Skudlarski P, Fulbright RK, Bronen RA, Shankweiler DP, Katz L, Fletcher
JM, Gore JC. Cerebral organization of component processes in reading.
Brain.. 1996;119:12211238.
37. Metter EJ. PET in aphasia and language. In: Kirshner HS, ed. Handbook of Neurological Speech and Language Disorders. New York, NY: Marcel Dekker; 1995; 187221.
38. Yetkin FZ, Hammeke TA, Swanson SJ, Morris GL, Mueller WM, McAuliffe TL, Haughton VM. A comparison of functional MR activation patterns during silent and audible language tasks. AJNR Am J Neuroradiol.. 1995;16:10871092.[Abstract]
This article has been cited by other articles:
![]() |
J. Mbwana, M. M. Berl, E. K. Ritzl, L. Rosenberger, J. Mayo, S. Weinstein, J. A. Conry, P. L. Pearl, S. Shamim, E. N. Moore, et al. Limitations to plasticity of language network reorganization in localization related epilepsy Brain, February 1, 2009; 132(2): 347 - 356. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Richter, W. H. R. Miltner, and T. Straube Association between therapy outcome and right-hemispheric activation in chronic aphasia Brain, May 1, 2008; 131(5): 1391 - 1401. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. J. Newmeyer, S. Grether, C. Grasha, J. White, R. Akers, C. Aylward, K. Ishikawa, and T. deGrauw Fine Motor Function and Oral-Motor Imitation Skills in Preschool-Age Children With Speech-Sound Disorders Clinical Pediatrics, September 1, 2007; 46(7): 604 - 611. [Abstract] [PDF] |
||||
![]() |
M. Desmurget, F. Bonnetblanc, and H. Duffau Contrasting acute and slow-growing lesions: a new door to brain plasticity Brain, April 1, 2007; 130(4): 898 - 914. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. Vitali, J. Abutalebi, M. Tettamanti, M. Danna, A.-I. Ansaldo, D. Perani, Y. Joanette, and S. F. Cappa Training-Induced Brain Remapping in Chronic Aphasia: A Pilot Study Neurorehabil Neural Repair, March 1, 2007; 21(2): 152 - 160. [Abstract] [PDF] |
||||
![]() |
J. Crinion and C. J. Price Right anterior superior temporal activation predicts auditory sentence comprehension following aphasic stroke Brain, December 1, 2005; 128(12): 2858 - 2871. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. Fernandez, D. Cardebat, J.-F. Demonet, P. A. Joseph, J.-M. Mazaux, M. Barat, and M. Allard Functional MRI Follow-Up Study of Language Processes in Healthy Subjects and During Recovery in a Case of Aphasia Stroke, September 1, 2004; 35(9): 2171 - 2176. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. K. Peck, A. B. Moore, B. A. Crosson, M. Gaiefsky, K. S. Gopinath, K. White, and R. W. Briggs Functional Magnetic Resonance Imaging Before and After Aphasia Therapy: Shifts in Hemodynamic Time to Peak During an Overt Language Task Stroke, February 1, 2004; 35(2): 554 - 559. [Abstract] [Full Text] [PDF] |
||||
![]() |
W.-D. Heiss Editorial Comment--Key Role of the Superior Temporal Gyrus for Language Performance and Recovery From Aphasia Stroke, December 1, 2003; 34(12): 2906 - 2907. [Full Text] [PDF] |
||||
![]() |
S. C. Cramer Editorial Comment--Implementing Results of Stroke Recovery Research Into Clinical Practice Stroke, July 1, 2003; 34(7): 1752 - 1753. [Full Text] [PDF] |
||||
![]() |
T.-M. Ilvonen, T. Kujala, A. Kiesilainen, O. Salonen, H. Kozou, E. Pekkonen, R. O. Roine, M. Kaste, and R. Naatanen Auditory Discrimination After Left-Hemisphere Stroke: A Mismatch Negativity Follow-Up Study Stroke, July 1, 2003; 34(7): 1746 - 1751. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. Calautti and J.-C. Baron Functional Neuroimaging Studies of Motor Recovery After Stroke in Adults: A Review Stroke, June 1, 2003; 34(6): 1553 - 1566. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. Temple, G. K. Deutsch, R. A. Poldrack, S. L. Miller, P. Tallal, M. M. Merzenich, and J. D. E. Gabrieli Neural deficits in children with dyslexia ameliorated by behavioral remediation: Evidence from functional MRI PNAS, March 4, 2003; 100(5): 2860 - 2865. [Abstract] [Full Text] [PDF] |
||||
![]() |
W. Staffen, A. Mair, H. Zauner, J. Unterrainer, H. Niederhofer, A. Kutzelnigg, S. Ritter, S. Golaszewski, B. Iglseder, and G. Ladurner Cognitive function and fMRI in patients with multiple sclerosis: evidence for compensatory cortical activation during an attention task Brain, June 1, 2002; 125(6): 1275 - 1282. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Lehericy, A. Biondi, N. Sourour, M. Vlaicu, S. T. du Montcel, L. Cohen, E. Vivas, L. Capelle, T. Faillot, A. Casasco, et al. Arteriovenous Brain Malformations: Is Functional MR Imaging Reliable for Studying Language Reorganization in Patients? Initial Observations Radiology, June 1, 2002; 223(3): 672 - 682. [Abstract] [Full Text] [PDF] |
||||
![]() |
Y.-J. Lee, T.-S. Chung, Y. Soo Yoon, M. Sik Lee, S.-H. Han, G. Je Seong, and K. Jin Ahn The Role of Functional MR Imaging in Patients with Ischemia in the Visual Cortex AJNR Am. J. Neuroradiol., June 1, 2001; 22(6): 1043 - 1049. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. A. Detre and T. F. Floyd Functional MRI and Its Applications to the Clinical Neurosciences Neuroscientist, February 1, 2001; 7(1): 64 - 79. [Abstract] [PDF] |
||||
![]() |
J. Kessler, A. Thiel, H. Karbe, and W. D. Heiss Piracetam Improves Activated Blood Flow and Facilitates Rehabilitation of Poststroke Aphasic Patients Stroke, September 1, 2000; 31(9): 2112 - 2116. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Bragoni, C. Caltagirone, E. Troisi, M. Matteis, F. Vernieri, and M. Silvestrini Correlation of cerebral hemodynamic changes during mental activity and recovery after stroke Neurology, July 12, 2000; 55(1): 35 - 40. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Stroke Home | Subscriptions | Archives | Feedback | Authors | Help | AHA Journals Home | Search Copyright © 1999 American Heart Association, Inc. All rights reserved. Unauthorized use prohibited. |