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Motor Control Section, Medical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland
Submitted 2 August 2004; accepted in final form 23 December 2004
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ABSTRACT |
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INTRODUCTION |
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In humans, however, the exact location and functional characteristics of the hand ipsi-PcG zones have not been fully clarified. For example, M1 was often defined as the whole PcG in those previous studies. It is now obvious that the human PcG contains not only M1 but also the lateral premotor cortex, or BA6 ( Rademacher et al. 2001
). The hand representation of M1 is typically located at, or in the vicinity of, the "precentral hand-knob" ( Yousry et al. 1997
). This landmark has widely been used to identify hand M1 activity in the contralateral PcG (hand contra-PcG). Curiously, location of the hand ipsi-PcG activity does not coincide with the precentral hand-knob, at least in healthy adults ( Cramer et al. 1999
). This discrepancy may be explained by the hypothesis that the hand ipsi-PcG activity is located within the premotor cortex occupying the rostral part of the PcG. This possibility was briefly mentioned in a previous paper ( Cramer et al. 1999
) but has never been fully examined until now.
An objective of this functional MRI (fMRI) experiment was to study the precise localization of the ipsi-PcG activity during unilateral hand movement. Location of the hand ipsi-PcG activity was compared with that of the M1 strip. The M1 strip was operationally defined by control motor tasks involving the hand and face. Another aim was to characterize hand ipsi-PcG activity in terms of somatotopic organization and specificity for motor execution. To clarify these issues, we employed motor imagery tasks involving the hand or lower face. Motor imagery induces activity in the motor cortices with a medial-lateral gradient for motor somatotopy ( Buccino et al. 2001
; Ehrsson et al. 2003
) and also with a rostral-caudal gradient for movement specificity ( Hanakawa et al. 2003b
).
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METHODS |
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Eight healthy adults (5 men and 3 women; age, 2250 yr) participated in the experiment after giving informed consent approved by the institutional review board. All subjects were right-handed as judged by the Edinburgh Handedness Inventory ( Oldfield 1971
).
Behavioral tasks
Subjects lay down on a scanner bed, wearing a headset and a button response unit for each hand. Each response unit was fixed at the wrist with a strap so that subjects would only move the fingers to press the buttons. Visual and auditory stimuli were delivered to the subjects for instruction (Fig. 1). Visual stimuli were projected into the scanner's bore from a liquid crystal display projector. For the mode of performance, the uniform background was changed for 300 ms from default black to green for movement or to red for imagery. Auditory stimuli were digitally recorded male voices lasting about 1 s. The auditory stimulus let the subjects know which body part (right hand, right face, left hand, or left face) was to be targeted. Subjects were instructed to keep visual fixation on a cross-hair throughout the experiment. The visual fixation condition served as an implicit baseline in this event-related fMRI experiment.
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20 s), a visual stimulus (green or red) was presented to instruct the subject on the performance mode (move or imagine). In this condition, motor performance was visually triggered when subjects were informed about "how" to execute the task. In the visual-auditory condition, a visual stimulus was presented first. After a delay period, subjects moved or imagined the body part specified by the following auditory stimulus. In this condition, performance was cued by an auditory stimulus that provided the information about "which" body part to be involved.
The hand movement task was sequential tapping with the unilateral index, middle, and ring fingers of either the right or left hand as brisk and large as possible. The tapping sequence (e.g., middle-index-ring) was fixed within an experimental run and varied across different runs. Before each run, an experimenter told the subject about which tapping sequence should be employed in the coming run. For behavioral reports, subjects sequentially pressed the buttons as instructed. The responses were recorded with Presentation software (http://nbs.neuro-bs.com) on a personal computer, which also controlled the presentations of the sensory stimuli. For the face movement task, repetitive contraction of the unilateral risorius muscle was requested. More specifically, subjects were asked to pull their unilateral oral angle to the specified side three times in a row. This task was chosen because TMS to the cerebral hemisphere can evoke exclusively contralateral risorius muscle activation ( Cohen and Hallett 1988
). Unilateral activation of the perioral muscles was visually checked while subjects were briefly trained on the face movement task before the experiment. During the fMRI experiment, a custom-made mirror was attached onto a head coil to allow visualization of the mouth and bilateral cheek areas. This allowed us to monitor face movement through a digital video camera with a telephoto lens. The video was digitally recorded on a Power Macintosh computer (Apple Computer, Cupertino, CA). In addition, one of the authors continuously monitored face movements, so that compliance with the required task was immediately recognized on-line. Unfortunately, however, parts of the behavioral data were lost, and subsequent analyses were not possible.
For the motor imagery tasks, subjects were instructed to imagine the specified movement without any accompanying overt movement. Subjects were asked to imagine movements performed by the subjects themselves (first person perspective) as opposed to movements performed by someone else ( Ruby and Decety 2001
). They were also encouraged to imagine the movement kinesthetically rather than visually, although the clear distinction between the two strategies was not always easy. Before the experiment, subjects were briefly trained on the imagery tasks. Absence of overt movement was confirmed through visual inspection.
fMRI experiment
The fMRI experiment was conducted on a General Electric 1.5-T scanner with a standard head coil. Gradient-echo, echo planar images were obtained by using the GE epiVP sequence (TR = 2 s, TE = 43 ms, flip angle = 90°, 64 x 64 matrix, 21 slices, FOV = 22 cm, thickness = 5 mm with 1.5-mm gap). This sequence permitted on-line reconstruction and display of the image time-series, so that image quality could be checked during the experiment. Trigger pulses from the scanner were used to synchronize the timing between stimulus presentation and slice acquisition. Each experimental run lasted for 6 min (180 images). The experimental run was repeated three times for each of the visual-auditory and auditory-visual conditions in semi-randomized order. In total, six scanning runs were performed for each subject. A T1-weighted axial image was acquired for each subject by three-dimensional volume acquisition for precise anatomic localization.
Image analysis
Image preprocessing and statistical analyses of the fMRI data were performed with the SPM99 software package (http://www.fil.ion.ucl.ac.uk/spm). The image preprocessing included realignment in time and space, and spatial normalization to fit to a standard stereotaxic space (Montreal Neurological Institute template). During the normalization process, original images were resampled into 2 x 2 x 2-mm voxel size. Spatial smoothing was applied with a Gaussian kernel of 6-mm full width at half-maximum (FWHM). The T1-weighted anatomic images were co-registered onto the functional images and spatially normalized.
Statistical analyses were based on a fixed-effects model, multi-regression analysis for each individual. Movement and imagery events were modeled separately for each effector. Brain responses related to the instruction cues were also taken into account. In total, nine event types of interest were defined for each run: one for instruction events, four for movement events (right hand, left hand, right face, or left face) and four for imagery events (right hand, left hand, right face, or left face). The brain response for each event was modeled with a canonical hemodynamic response function and its temporal derivative. These functions were convolved with a train of delta functions representing each event type to create covariates in the multi-regression analysis. A constant term for each run was modeled as a nuisance variable. Thus a single design matrix including those multiple covariates was built for each subject. Parameter estimates for each covariate were calculated from the least-mean square fit with the fMRI time series. This process was performed with the aid of session-specific scaling to deal with mean intensity differences across different runs (no within-session scaling). Also, 4-s high-cut and 120-s low-cut temporal filters were applied to compensate for the autocorrelation of the data and to increase the signal-to-noise ratio, respectively.
In this particular report, we concentrated on showing activities in the bilateral PcG. Movements were visual triggered in the auditory-visual condition and auditory triggered in the visual-auditory condition. First, we explored brain activity common to visual-cued movement and auditory-cued movement by employing a conjunction analysis ( Price and Friston 1997
). Planned linear contrasts were applied to the parameter estimates of covariates; this operation yielded statistical parametric maps of t-statistics. To detect possibly small ipsi-PcG activity, the statistical threshold was set at P < 0.001 without correction for multiple comparisons. Second, the ipsi-PcG activity detectable during the visual-cued movement only or during auditory-cued movement only was also explored at the same threshold. For consistency, we used the same threshold to detect contra-PcG activities, although contra-PcG activities were typically much greater than ipsi-PcG activities. We thereby defined movement-related activity for each effector in the contra-PcG and ipsi-PcG for both hemispheres.
Recent anatomical evidence shows that the precentral and central sulci form the rostral border and caudal border of the human M1, respectively ( Rademacher et al. 2001
). Therefore our search volume was limited from the caudal bank of the precentral sulcus (rostral border) to the rostral bank of the central sulcus (caudal border). However, the perfect distinction of whether activity exclusively involved the rostral bank or the caudal bank of the sulci was not always easy. This was due to limited spatial resolution of the present fMRI method. We excluded activity in the depth of the precentral sulcus because this zone often shows bilateral activity not only during complex motor tasks but also cognitive tasks ( Hanakawa et al. 2002
, 2003a
; Picard and Strick 2001
). Mean stereotaxic coordinates were calculated from the most significantly activated voxel (i.e., statistical peak) within each cluster. The Montreal Neurological Institute coordinates were converted into coordinates of Talairach and Tournoux (1988)
, using a nonlinear transformation (http://www.mrc-cbu.cam.ac.uk/Imaging/Common/mnispace.shtml).
We intended to reproduce a previous result indicating the asymmetry of hand contra- and ipsi-PcG zones ( Cramer et al. 1999
). For this purpose, multivariate ANOVA (MANOVA) was applied to the three stereotaxic coordinates of the PcG activities. We thereby compared the location of the contra-PcG and ipsi-PcG in the same hemisphere separately for the hand and face movements. Second, a three-dimensional vector representing the spatial relationship among the three PcG activities was computed for each subject (vector analysis). This analysis considered subtle differences in each individual's anatomy and potentially imperfect spatial normalization. The hand contra-PcG activity was assigned to the origin of this computation because the correspondence between the hand contra-PcG activity and the precentral hand-knob was quite tight. More specifically, assigned to the origin was the most significantly activated voxel in the hand contra-PcG activity at, or in the proximity of, the precentral hand-knob. The following vectors were calculated by using the statistical peak from each activity cluster. Our operational definition was that the vector from the hand contra-PcG to the face contra-PcG should represent the direction of the M1 strip in the stereotaxic coordinate system (M1 vector). A vector from the hand contra-PcG to the hand ipsi-PcG (defined by the task with the other hand) was also computed (hand ipsi-PcG vector). Then, the orientation of the hand ipsi-PcG vectors was compared with that of the M1 vector by feeding the three stereotaxic coordinates into MANOVA as variables. Finally, the mean coordinates of each PcG activity were evaluated in reference to a probability map of BA 4 in humans. A statistical analysis was performed with a Student t-test to compare the hand ipsi-PcG location with the rostral border of BA 4 described for 11 brains ( Rademacher et al. 2001
).
The magnitude of movement- and imagery-related responses was estimated at the most significantly activated voxel in each PcG zone. Mean percent changes of task-related MRI signals were calculated in reference to the fixation baseline. We analyzed movement-related activities and coexisting imagery-related activities by ANOVA, taking laterality (right or left), effector (face or hand), and stimulus (auditory-cued or visual-cued) as within-subject variables.
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RESULTS |
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Task performance was judged to be satisfactory for all subjects through the behavioral monitoring during the fMRI experiment. All movement tasks induced activities in the bilateral PcG, but the ipsi-PcG activity was less consistently observed during the right hand movement task compared with the other movement tasks (Table 1). Conjunction analysis (auditory- and visual-cued) detected hand contra-PcG activity and face contra- and ipsi-PcG activities in almost all subjects. It also revealed hand ipsi-PcG activity in four of eight subjects for each hand movement. Separate analyses for the visual-cued movement only and the auditory-cued movement only gave consistent findings with the conjunction analysis. In the analysis only on the auditory-cued movement, ipsi-PcG activity was found in two more subjects for the right hand movement and four more subjects for the left hand movement. However, analysis only on the visual-cued movement failed to show hand ipsi-PcG activity in subjects with negative findings by the conjunction analysis. Cortical activity ipsilateral to the side of hand movement was also observed in the parietal cortex including the postcentral gyrus. The very edge of such ipsilateral parietal activity sometimes extended into the central sulcus (Fig. 2E, parietal activity in white). However, the ipsilateral parietal activity never had statistical peaks in the central sulcus and thus was dissociable from the ipsi-PcG activity.
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The spatial relationship between contra- and ipsi-PcG activities was tested by MANOVA, using x, y, and z coordinates as variables. It turned out that the hand ipsi-PcG activity for one movement side differed in location from the hand contra-PcG activity for the other movement side (P = 0.001 for both hemispheres). This indicated that the hand ipsi-PcG was a distinct zone from the hand contra-PcG/precentral hand knob. In contrast, face ipsi-PcG activity for one movement side was indistinguishable from face contra-PcG activity for the other movement side (P = 0.885 for the left hemisphere and P = 0.183 for the right hemisphere by MANOVA). Consistent with a previous TMS study ( Wassermann et al. 1994
), the face PcG activity and hand ipsi-PcG activity were sometimes located very close with each other (Fig. 2E, left).
Vector analysis was performed to confirm that hand ipsi-PcG activity was distinct from face PcG activity. The mean hand ipsi-PcG vector differed from the mean M1 vector for both hemispheres [F(3,10) = 9.3, P = 0.003 on the left; F(3,12) = 7.3, P = 0.005 on the right, both by MANOVA]. Figure 3 shows that the mean hand ipsi-PcG vector directs rostral and dorsal to the mean M1 vector in both hemispheres. In the left hemisphere, the hand ipsi-PcG vector was significantly shifted rostral to the M1 vector in the caudal-rostral (y) direction (P = 0.030) and dorsal in the ventral-dorsal (z) direction (P = 0.012). There was no difference in the medial-lateral (x) direction (P = 0.183). In the right hemisphere, the hand ipsi-PcG vector was significantly shifted dorsal to the M1 vector (P = 0.040). There was no significant difference in the caudal-rostral (P = 0.160) and medial-lateral (P = 0.599) directions. This analysis confirmed that the hand ipsi-PcG activity was outside the functionally determined M1 strip.
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Motor somatotopy of the contralateral and ipsilateral PcG zones
Motor somatotopy expressed by movement-related activities was evaluated for each PcG zone. Although the hand ipsi-PcG activity was more frequently found during the auditory-cued movements, none of the PcG zones exhibited statistically significant effects of the stimulus. In fact, the somatotopy findings were virtually the same between the auditory- and visual-cued activities. Thus only the results from the auditory-cued activities are shown in Fig. 4 for simplicity. The hand contra-PcG zone showed activity almost exclusively for the contralateral hand movements, indicating clear-cut somatotopic organization. This interpretation was underscored by the significant main effects of the laterality (P < 0.001 by ANOVA) and effector (P < 0.001), and by the laterality-by-effector interactions (P < 0.001) for both hemispheres. In contrast, the hand ipsi-PcG activity reflected not only bilateral hand movements but also bilateral lower face movements (no significant effects of laterality, effector, or laterality-by-effector interactions).
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Imagery-related activity in the contralateral and ipsilateral PcG zones
Hand contra-PcG zones showed almost no imagery-related activity for either the hand or face (Fig. 4). Statistically, hand contra-PcG zones showed neither main effects nor interactions, except for moderate laterality effects (P = 0.02) in the hand contra-PcG zone of the left hemisphere. In the hand ipsi-PcG zones, hand motor imagery-related activity was one-half as much as hand movement-related activity. Moreover, imagery-related activity was also found during face motor imagery in the hand ipsi-PcG zones. Statistical analyses failed to show the effects of the imagined effector in both hemispheres (i.e., no somatotopy). As for the face PcG zones, face imagery-related activity was a quarter as much as actual face movement-related activity on both sides. The face PcG activity during motor imagery was selective for the face. There were significant main effects of effector in the face contra-PcG zone in the right hemisphere (P = 0.02) and in the face ipsi-PcG zone in the left (P = 0.03) and the right (P = 0.01) hemispheres. The face contra-PcG zone in the left hemisphere was selective for contralateral face motor imagery as indicated by significant effector-by-laterality interactions (P = 0.04).
Locating somatotopically organized hand motor imagery-related activity was originally beyond the scope of this experiment. Nevertheless, such a region was found within the left superior precentral sulcus (mean coordinate: x, y, z = 32, 2, 63) consistently across the subjects (n = 7). Imagery-related activity of this region was significantly greater during hand motor imagery than face motor imagery (P < 0.05). This activity did not show the effect of laterality (P = 0.302) or effector-by-laterality interaction (P = 0.130). Notably, the same region exhibited somatotopically organized movement-related activity selective for right hand movement (effector, P < 0.05; laterality, P = 0.281; effector-by-laterality interaction, P < 0.05). Only a few subjects (n = 4) showed similar activity in the right superior precentral sulcus during the left hand motor imagery task. There was no further analysis because of the inconsistency.
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DISCUSSION |
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12 mm FWHM) typically used for such an analysis may obscure the exact localization and extent of brain activity. This seemed important since we occasionally found two obviously separate activities in the hemisphere ipsilateral to hand movements. One was in the precentral sulcus or PcG convexity and the other was in the parietal cortex (i.e., ipsilateral parietal activity). A group averaged analysis may merge these two separate activities together, which may result in a false finding of PcG activation situated in between. We confirmed previous reports showing that unilateral independent finger movement induced activity in the PcG not only contralateral but also ipsilateral to the movement side ( Cramer et al. 1999
The mean coordinates of the hand and face contra-PcG activities were consistent with those of the M1 activations in a previous report ( Lotze et al. 2000
). Hand contra-PcG activity tuned finely to the contralateral hand movement fits the conventional notion for M1 functions. In contrast, the hand ipsi-PcG zone showed several properties atypical as M1. First, the hand ipsi-PcG zones were located rostral to the BA4 rostral border, most likely within BA 6. Moreover, notwithstanding the definition by hand movement, the hand ipsi-PcG zones showed almost comparable activity for lower face movement. This means that the hand ipsi-PcG zones lack motor somatotopy, a hallmark of M1. M1 has sequential and clearly separated motor representations of the head, upper extremity and lower extremity, although the intralimb sequential somatotopy is questioned ( Schieber 2001
). Peaks of face contra-PcG and ipsi-PcG zones were localized within BA 4, although these activities might extend rostrally into BA 6. These results showed that the face M1 might have control over bilateral lower face muscles to some extent. However, the significant effector-by-laterality interactions in the face contra-PcG in the left hemisphere indicates that this zone may relate more to contralateral than ipsilateral movements. This finding agrees with moderate lower face paresis predominantly on the contralateral side to the lesion involving the cerebral hemisphere.
The hand ipsi-PcG zones showed considerable imagery-related activity. Such imagery-related activity was scarcely observed in the hand contra-PcG zones in this study. M1 may reveal slight motor imagery-related activity ( Porro et al. 1996
; Roth et al. 1996
) or none, at least at a group level ( Gerardin et al. 2000
; Hanakawa et al. 2003b
). Actually, the face PcG zones consistent with the face M1 disclosed mild imagery-related activity. Hence, the presence or absence of motor imagery-related activity per se may not adequately characterize M1. However, it should be noted that face PcG zones preserved effector selectivity in both movement- and imagery-related activities, whereas hand ipsi-PcG zones did not. There is accumulating evidence indicating that motor imagery evokes somatotopically organized activity in the premotor cortex and possibly M1 ( Buccino et al. 2001
; Ehrsson et al. 2003
). Therefore imagery-related activity without following somatotopy argues against hand ipsi-PcG zones belonging to M1. Instead, we found hand imagery-selective activity in the superior precentral sulcus, which probably corresponds to the caudal part of the dorsal premotor cortex ( Hanakawa et al. 2002
, 2003b
; Picard and Strick 2001
).
Information available from nonhuman primate studies is invaluable for interpreting these data. There are at least three candidate regions as the counterpart of the hand ipsi-PcG zones shown here in humans. First, a classic study localized ipsilateral limb motor representation adjacent to the superior precentral dimple mainly in BA 6 ( Bucy and Fulton 1933
). This dorsal premotor area predominantly manifests hindlimb movement and thus is unlikely the correlate of the hand ipsi-PcG zone. Second, several studies described a small distinct subdivision of M1 that encodes ipsilateral or bilateral distal forelimb movements ( Aizawa et al. 1990
; Gentilucci et al. 1988
). Such a region is situated between the face and distal forelimb representations of M1. In this study, however, the hand ipsi-PcG zones were rostral to the M1 strip. Additionally, the percentage of neurons related to ipsilateral or bilateral distal forelimb movement is rather small (8%) in M1 ( Tanji et al. 1988
). The chance to detect activity from such a small portion of neurons would not be very high with the present method. Third, distal forelimb movements are also represented in F5 and rostral F4 sectors of the ventral premotor cortex ( Gentilucci et al. 1988
). In the ventral premotor cortex, most distal forelimb neurons are active during movement on either side ( Rizzolatti et al. 1988
; Tanji et al. 1988
). Notably, distal forelimb and face representations are partially overlapped in the ventral premotor cortex in contrast to the clear segregation between them in M1 ( Gentilucci et al. 1988
). This somatotopic overlap would account for the activity during face movement in the hand ipsi-PcG. Also, a part of the ventral premotor cortex contains visuomotor neurons that are active during active movement as well as visual stimulus presentation relevant to motor behavior ( Murata et al. 1997
). Such visuomotor properties could explain activity during motor imagery in the hand ipsi-PcG. Among the three candidate regions, therefore the properties of the ventral premotor cortex can best explain the hand ipsi-PcG activity in the present experiment. The ventral premotor cortex contains a particular class of neurons that are active while an organism either makes a movement (typically grasping movement) or observes someone else executing the same movement ( Gallese et al. 1996
; Rizzolatti et al. 1996
). In agreement with our interpretation, the hand ipsi-PcG activity coincides in location with ventral premotor cortex activity during passive observation of hand movements ( Buccino et al. 2001
).
Bilateral hand movements can be easily elicited by stimulation to M1 in healthy children, but this phenomenon disappears after age 10 ( Muller et al. 1997
). In adults with congenital mirror movement, bilateral hand movements can be evoked by M1 stimulation ( Cohen et al. 1991
). Hemiparetic patients due to stroke may present with typical precentral hand-knob activity ipsilateral to the affected hand ( Cao et al. 1998
; Carey et al. 2002
), although such activity could be, in part, ascribed to association movements of the intact hand ( Weiller et al. 1993
). Some hemiparetic patients experience motor disturbance of the hand ipsilateral to a lesion ( Colebatch and Gandevia 1989
; Jones et al. 1989
). These lines of evidence suggest that M1 has the potential to represent ipsilateral or bilateral hand movements in humans. To reconcile the discrepancy between these findings and the present data, we propose a possible scheme of age- or disease-associated changes of the two parallel motor systems originating from the ipsilateral PcG (Fig. 5).
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In summary, ipsilateral PcG activity often observed during independent finger movements likely corresponds to a portion of the ventral premotor cortex rather than M1. We need further studies to determine if this notion applies to other types of movement, such as a forceful grip. Also, movement of the proximal arm may well involve ipsilateral M1. It is possible that primates have developed a specialized system to subserve the dexterity of independent finger movements. Evidence from split-brain primates indicates that the ipsilateral motor system effectively controls the arm but neither the hand nor fingers ( Brinkman and Kuypers 1973
). Recent studies in stroke patients support this notion by showing that the intact parts of the affected hemisphere might be more important for the paretic hand control ( Brinkman and Kuypers 1973
; Cramer et al. 2002
; Fridman et al. 2004
; Werhahn et al. 2003
). These new findings cast doubt on the predominant role of the ipsilateral motor system during stroke recovery. Nonetheless, rehabilitation strategies to enhance effective use of the ipsilateral system may still be possible if we can develop a way to use the properties of the ipsilateral system, such as the visuomotor/imagery functions.
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GRANTS |
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ACKNOWLEDGMENTS |
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FOOTNOTES |
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Address for reprint requests and other correspondence: M. Hallett, Human Motor Control Section, National Inst. of Neurological Disorders and Stroke, National Inst. of Health, Bldg. 10, Rm. 5N226, 10 Center Dr., Bethesda, MD 20892-1428 (E-mail: hallettm{at}ninds.nih.gov)
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REFERENCES |
|---|
|
Brinkman J and Kuypers GJM. Cerebral control of contalateral and ipsilateral arm, hand and finger movements in split-brain rhesus monkey. Brain 96: 653674, 1973.
Buccino G, Binkofski F, Fink GR, Fadiga L, Fogassi L, Gallese V, Seitz RJ, Zilles K, Rizzolatti G, and Freund HJ. Action observation activates premotor and parietal areas in a somatotopic manner: an fMRI study. Eur J Neurosci 13: 400404, 2001.[CrossRef][Web of Science][Medline]
Bucy P and Fulton J. Ipsilateral representation in the motor and premotor cortex of monkeys. Brain 56: 318342, 1933.
Cao Y, D'Olhaberriague L, Vikingstad EM, Levine SR, and Welch KM. Pilot study of functional MRI to assess cerebral activation of motor function after poststroke hemiparesis. Stroke 29: 112122, 1998.
Carey JR, Kimberley TJ, Lewis SM, Auerbach EJ, Dorsey L, Rundquist P, and Ugurbil K. Analysis of fMRI and finger tracking training in subjects with chronic stroke. Brain 125: 773788, 2002.
Chollet F, DiPiero V, Wise RJ, Brooks DJ, Dolan RJ, and Frackowiak RS. The functional anatomy of motor recovery after stroke in humans: a study with positron emission tomography. Ann Neurol 29: 6371, 1991.[CrossRef][Web of Science][Medline]
Cohen LG and Hallett M. Noninvasive mapping of human motor cortex. Neurology 38: 904909, 1988.
Cohen LG, Meer J, Tarkka I, Bierner S, Leiderman DB, Dubinsky RM, Sanes JN, Jabbari B, Branscum B, and Hallett M. Congenital mirror movements. Abnormal organization of motor pathways in two patients. Brain 114: 381403, 1991.
Colebatch JG and Gandevia SC. The distribution of muscular weakness in upper motor neuron lesions affecting the arm. Brain 112: 749763, 1989.
Cramer SC, Finklestein SP, Schaechter JD, Bush G, and Rosen BR. Activation of distinct motor cortex regions during ipsilateral and contralateral finger movements. J Neurophysiol 81: 383387, 1999.
Cramer SC, Mark A, Barquist K, Nhan H, Stegbauer KC, Price R, Bell K, Odderson IR, Esselman P, and Maravilla KR. Motor cortex activation is preserved in patients with chronic hemiplegic stroke. Ann Neurol 52: 607616, 2002.[CrossRef][Web of Science][Medline]
Cramer SC, Nelles G, Benson RR, Kaplan JD, Parker RA, Kwong KK, Kennedy DN, Finklestein SP, and Rosen BR. A functional MRI study of subjects recovered from hemiparetic stroke. Stroke 28: 25182527, 1997.
Ehrsson HH, Geyer S, and Naito E. Imagery of voluntary movement of fingers, toes, and tongue activates corresponding body-part-specific motor representations. J Neurophysiol 90: 33043316, 2003.
Ferbert A, Priori A, Rothwell JC, Day BL, Colebatch JG, and Marsden CD. Interhemispheric inhibition of the human motor cortex. J Physiol 453: 525546, 1992.
Fridman EA, Hanakawa T, Chung M, Hummel F, Leiguarda RC, and Cohen LG. Reorganization of the human ipsilesional premotor cortex after stroke. Brain 127: 747758, 2004.
Gallese V, Fadiga L, Fogassi L, and Rizzolatti G. Action recognition in the premotor cortex. Brain 119: 593609, 1996.
Gentilucci M, Fogassi L, Luppino G, Matelli M, Camarda R, and Rizzolatti G. Functional organization of inferior area 6 in the macaque monkey. I. Somatotopy and the control of proximal movements. Exp Brain Res 71: 475490, 1988.[CrossRef][Web of Science][Medline]
Gerardin E, Sirigu A, Lehericy S, Poline JB, Gaymard B, Marsault C, Agid Y, and Le Bihan D. Partially overlapping neural networks for real and imagined hand movements. Cereb Cortex 10: 10931104, 2000.
Hanakawa T, Honda M, Okada T, Fukuyama H, and Shibasaki H. Differential activity in the premotor cortex subdivisions in humans during mental calculation and verbal rehearsal tasks: a functional magnetic resonance imaging study. Neurosci Lett 347: 199201, 2003a.[CrossRef][Web of Science][Medline]
Hanakawa T, Honda M, Sawamoto N, Okada T, Yonekura Y, Fukuyama H, and Shibasaki H. The role of rostral Brodmann area 6 in mental-operation tasks: an integrative neuroimaging approach. Cereb Cortex 12: 11571170, 2002.
Hanakawa T, Immisch I, Toma K, Dimyan MA, van Gelderen P, and Hallett M. Functional properties of brain areas associated with motor execution and imagery. J Neurophysiol 89: 9891002, 2003b.
Jones RD, Donaldson IM, and Parkin PJ. Impairment and recovery of ipsilateral sensory-motor function following unilateral cerebral infarction. Brain 112: 113132, 1989.
Kim SG, Ashe J, Hendrich K, Ellermann JM, Merkle H, Ugurbil K, and Georgopoulos AP. Functional magnetic resonance imaging of motor cortex: hemispheric asymmetry and handedness. Science 261: 615617, 1993.
Lotze M, Erb M, Flor H, Huelsmann E, Godde B, and Grodd W. fMRI evaluation of somatotopic representation in human primary motor cortex. Neuroimage 11: 473481, 2000.[CrossRef][Web of Science][Medline]
Muller K, Kass-Iliyya F, and Reitz M. Ontogeny of ipsilateral corticospinal projections: a developmental study with transcranial magnetic stimulation. Ann Neurol 42: 705711, 1997.[CrossRef][Web of Science][Medline]
Murata A, Fadiga L, Fogassi L, Gallese V, Raos V, and Rizzolatti G. Object representation in the ventral premotor cortex (area F5) of the monkey. J Neurophysiol 78: 22262230, 1997.
Neshige R, Luders H, and Shibasaki H. Recording of movement-related potentials from scalp and cortex in man. Brain 111: 719736, 1988.
Oldfield RC. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 9: 97113, 1971.[CrossRef][Web of Science][Medline]
Picard N and Strick PL. Imaging the premotor areas. Curr Opin Neurobiol 11: 663672, 2001.[CrossRef][Web of Science][Medline]
Porro CA, Francescato MP, Cettolo V, Diamond ME, Baraldi P, Zuiani C, Bazzocchi M, and di Prampero PE. Primary motor and sensory cortex activation during motor performance and motor imagery: a functional magnetic resonance imaging study. J Neurosci 16: 76887698, 1996.
Price CJ and Friston KJ. Cognitive conjunction: a new approach to brain activation experiments. NeuroImage 5: 261270, 1997.[CrossRef][Web of Science][Medline]
Rademacher J, Burgel U, Geyer S, Schormann T, Schleicher A, Freund HJ, and Zilles K. Variability and asymmetry in the human precentral motor system. A cytoarchitectonic and myeloarchitectonic brain mapping study. Brain 124: 22322258, 2001.
Rao SM, Binder JR, Bandettini PA, Hammeke TA, Yetkin FZ, Jesmanowicz A, Lisk LM, Morris GL, Mueller WM, Estkowski LD. Functional magnetic resonance imaging of complex human movements. Neurology 43: 23112318, 1993.
Rizzolatti G, Camarda R, Fogassi L, Gentilucci M, Luppino G, and Matelli M. Functional organization of inferior area 6 in the macaque monkey. II. Area F5 and the control of distal movements. Exp Brain Res 71: 491507, 1988.[CrossRef][Web of Science][Medline]
Rizzolatti G, Fadiga L, Gallese V, and Fogassi L. Premotor cortex and the recognition of motor actions. Brain Res Cogn Brain Res 3: 131141, 1996.[CrossRef][Medline]
Roth M, Decety J, Raybaudi M, Massarelli R, Delon-Martin C, Segebarth C, Morand S, Gemignani A, Decorps M, and Jeannerod M. Possible involvement of primary motor cortex in mentally simulated movement: a functional magnetic resonance imaging study. Neuroreport 7: 12801284, 1996.[Web of Science][Medline]
Rouiller EM, Babalian A, Kazennikov O, Moret V, Yu XH, and Wiesendanger M. Transcallosal connections of the distal forelimb representations of the primary and supplementary motor cortical areas in macaque monkeys. Exp Brain Res 102: 227243, 1994.[Web of Science][Medline]
Ruby P and Decety J. Effect of subjective perspective taking during simulation of action: a PET investigation of agency. Nature Neurosci 4: 546550, 2001.[Web of Science][Medline]
Salmelin R, Forss N, Knuutila J, and Hari R. Bilateral activation of the human somatomotor cortex by distal hand movements. Electroencephalogr Clin Neurophysiol 95: 444452, 1995.[CrossRef][Web of Science][Medline]
Schieber MH. Constraints on somatotopic organization in the primary motor cortex. J Neurophysiol 86: 21252143, 2001.
Shibasaki H and Kato M. Movement-associated cortical potentials with unilateral and bilateral simultaneous hand movement. J Neurol 208: 191199, 1975.[CrossRef][Web of Science][Medline]
Shibasaki H, Sadato N, Lyshkow H, Yonekura Y, Honda M, Nagamine T, Suwazono S, Magata Y, Ikeda A, and Miyazaki M. Both primary motor cortex and supplementary motor area play an important role in complex finger movement. Brain 116: 13871398, 1993.
Staudt M, Grodd W, Gerloff C, Erb M, Stitz J, and Krageloh-Mann I. Two types of ipsilateral reorganization in congenital hemiparesis: a TMS and fMRI study. Brain 125: 22222237, 2002.
Talairach J and Tournoux P. Co-Planar Stereotaxic Atlas of the Human Brain. New York: Thieme Medical Publishers, 1988.
Tanji J, Okano K, and Sato KC. Neuronal activity in cortical motor areas related to ipsilateral, contralateral, and bilateral digit movements of the monkey. J Neurophysiol 60: 325343, 1988.
Toma K, Matsuoka T, Immisch I, Mima T, Waldvogel D, Koshy B, Hanakawa T, Shill H, and Hallett M. Generators of movement-related cortical potentials: fMRI-constrained EEG dipole source analysis. Neuroimage 17: 161173, 2002.[CrossRef][Web of Science][Medline]
Wassermann EM, Pascual-Leone A, and Hallett M. Cortical motor representation of the ipsilateral hand and arm. Exp Brain Res 100: 121132, 1994.[Web of Science][Medline]
Weiller C, Chollet F, Friston KJ, Wise RJ, and Frackowiak RS. Functional reorganization of the brain in recovery from striatocapsular infarction in man. Ann Neurol 31: 463472, 1992.[CrossRef][Web of Science][Medline]
Weiller C, Ramsay SC, Wise RJ, Friston KJ, and Frackowiak RS. Individual patterns of functional reorganization in the human cerebral cortex after capsular infarction. Ann Neurol 33: 181189, 1993.[CrossRef][Web of Science][Medline]
Werhahn KJ, Conforto AB, Kadom N, Hallett M, and Cohen LG. Contribution of the ipsilateral motor cortex to recovery after chronic stroke. Ann Neurol 54: 464472, 2003.[CrossRef][Web of Science][Medline]
Yousry TA, Schmid UD, Alkadhi H, Schmidt D, Peraud A, Buettner A, and Winkler P. Localization of the motor hand area to a knob on the precentral gyrus. A new landmark. Brain 120: 141157, 1997.
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