Cerebral Cortex Advance Access originally published online on July 25, 2007
Cerebral Cortex 2008 18(4):930-937; doi:10.1093/cercor/bhm129
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Published by Oxford University Press 2007.
The Representation of Blinking Movement in Cingulate Motor Areas: A Functional Magnetic Resonance Imaging Study
1 Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892-1428, USA, 2 Department of Cortical Function Disorders, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, 187-8502, Japan
Address correspondence to Mark Hallett, MD, Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Building 10, Room 5N226 10 Center Drive, Bethesda, MD 20892-1428, USA. Email: hallettm{at}ninds.nih.gov.
| Abstract |
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Recent anatomical evidence from nonhuman primates indicates that cingulate motor areas (CMAs) play a substantial role in the cortical control of upper facial movement. Using event-related functional magnetic resonance imaging in 10 healthy subjects, we examined brain activity associated with volitional eye closure involving primarily the bilateral orbicularis oculi. The findings were compared with those from bimanual tapping, which should identify medial frontal areas nonsomatotopically or somatotopically related to bilateral movements. In a group-level analysis, the blinking task was associated with rostral cingulate activity more strongly than the bimanual tapping task. By contrast, the bimanual task activated the caudal cingulate zone plus supplementary motor areas. An individual-level analysis indicated that 2 foci of blinking-specific activity were situated in the cingulate or paracingulate sulcus: one close to the genu of the corpus callosum (anterior part of rostral cingulate zone) and the posterior part of rostral cingulate zone. The present data support the notion that direct cortical innervation of the facial subnuclei from the CMAs might control upper face movement in humans, as previously implied in nonhuman primates. The CMAs may contribute to the sparing of upper facial muscles after a stroke involving the lateral precentral motor regions.
Key Words: bimanual movement cingulate motor areas face movement motor control neuroimaging
| Introduction |
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A unilateral lesion involving the face representation of the primary motor cortex (M1), such as occurs after occlusion of the middle cerebral artery, typically causes contralateral lower facial palsy and largely spares upper facial movement. The traditional explanation for this discrepancy is that the facial subnuclei that control upper facial muscles receive bilateral innervation from M1; hence, the intact side alone can maintain the normal motor function of the upper face. Surprisingly, there is little experimental evidence to support this account. In nonhuman primates, the projection from M1 to the facial subnuclei governing the upper facial muscles is relatively weak in comparison with the lower facial muscles, albeit consistent (Jenny and Saper 1987
Previous human neuroimaging studies on blink movement have reported the involvement of both M1 and medial frontal motor areas (Bodis-Wollner et al. 1999
; van Eimeren et al. 2001
; Kato and Miyauchi 2003a
; Yoon et al. 2005
). However, those medial frontal activities have been ascribed to supplementary motor areas (SMAs), and the activation of CMAs has not been explicitly demonstrated thus far. SMAs in the medial frontal gyrus are often subdivided into the rostral part (SMAr or pre-SMA) and the caudal part (SMAc, SMA proper, or M2). SMAc/M2 is a somatotopically organized motor area (Fried et al. 1991
; Luppino et al. 1991
; Hanakawa et al. 2001
). SMAc/M2 has been shown to project to the medial facial subnuclei that control the auricular musculature in nonhuman primates (Morecraft et al. 2001
), but its role in facial expression is not yet clear in humans. CMAs are mostly buried within the cingulate sulcus (CS) and are also classified into several subregions representing somatotopy (Picard and Strick 1996
). Anatomical evidence from nonhuman primates indicates that the rostral sector of CMA (M3) has a predominant role in controlling upper face movement (Morecraft et al. 2001
). More recently, Gong et al. (2005)
have performed a study on the cortical afferents to the motoneurons of orbicularis oculi, using a retrograde transneuronal tracer. They have shown premotor neurons of orbicularis oculi in both the M3 and the caudal sector (M4) of the CMAs. As it is suggested that humans possess the homologues of those somatotopically organized CMAs (Picard and Strick 1996
), it is possible that CMAs participate in controlling upper face movement in humans as well. In agreement with this hypothesis, stimulation of the medial frontal regions including the cingulate areas with transcranial magnetic stimulation (TMS) can produce direct motor evoked potentials in the orbicularis oculi muscles (Sohn et al. 2004
). In addition, a recent study on spontaneous blinking reported activity on the medial hemispheric wall at the border between medial Brodmann's area (BA) 6 (i.e., SMAs) and the cingulate areas (Yoon et al. 2005
).
The anterior cingulate cortex is involved not only in simple motor execution but also in complex cognitive–motor behavior requiring response selection and conflict monitoring (Devinsky et al. 1995
; Paus 2001
). Clinical and neuroimaging evidence indicates that a part of the anterior cingulate cortex plays a critical role in the coordination of bimanual movement (Swinnen and Wenderoth 2004
). However, none of the previous studies revealing cingulate activity with blinking have differentiated the activity from that commonly required for cued or bilateral movements. Therefore, to test the role of the CMAs in upper face movement in humans, we performed an event-related functional magnetic resonance imaging (fMRI) study in which brain activity was investigated during volitional closure of both eyes and bimanual tapping. Both types of movements were cued by the same visual stimulus. Bimanual tapping movement was employed to control for general task demands and to compare the location of activity with that of blinking-related activity on the medial frontal wall. It was hypothesized that the upper face representations of CMAs would be active during intentional blinking movement but not during bimanual movement.
| Materials and Methods |
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Subjects
Ten healthy right-handed subjects (6 women, 4 men), age 23–36, participated in the study. None had any previous history of neurological or psychiatric disorders. All subjects gave written informed consent approved by the institutional review board to participate.
Experimental Design
MRI scanning was conducted on a 3-Tesla scanner (GE, Milwaukee, WI). Subjects lay supine on the scanner bed with an individually molded bite bar to reduce head motion. Visual stimuli were back projected onto a screen, and subjects viewed them through a mirror built into a standard head coil.
During baseline periods, subjects fixated on a white crosshair in the center of a black rectangle. Physiological blinking was not suppressed throughout. To eliminate the cognitive effect of task selection, the task condition was fixed within an experimental run, either blinking or finger tapping. The temporal order of runs was pseudorandomized in each subject and was counterbalanced across subjects. The condition for each run was verbally instructed to the subject over an intercom system before the start of each run. During a run, the cue to perform the task was the disappearance of the white crosshair from the screen for 1.5 s, with an interstimulus interval of 21 s.
Blinking Task
For the blinking task, subjects quickly and completely closed their eyelids bilaterally in response to the visual cue. The blinking was a willful, voluntary movement that involved contraction of the orbicularis oculi muscles but not of the other body parts. The subjects were specifically instructed to avoid forceful blinks and not to move any other part of the face. One movement cycle (eyelid closing and opening) was performed per one visual cue.
Bimanual Tapping Task
For the tapping task, subjects quickly tapped the thumb to the index finger and then to the middle finger, using both hands simultaneously, in response to the visual cue.
Electromyography Recordings
In order to confirm the differentiated activation of the various muscle groups in each of the 2 tasks, 3 healthy subjects (age 23–38, 2 men and 1 woman) were studied separately by surface electromyography (sEMG) outside the MRI scanner. Silver–silver chloride adhesive disposable surface electrodes (Medtronic Inc, Minneapolis, MN) were placed to record from bilateral orbicularis oculi, frontalis, zygomaticus major, and first dorsal interossei (Cram et al. 1998
). The subject was seated comfortably and performed visually cued bilateral blinking and bimanual tapping as above but with an interstimulus interval of 6 s. Finally, for this control experiment, sEMG was measured as the subjects performed repetitive smiling and forceful blinking to demonstrate the more widespread muscle activation that occurs in those tasks as compared with the experimental blinking task. sEMG electrode recordings were performed with a Neuropack EMG machine and MEB software (Nihon Kohden, Foothill Ranch, CA), with a sampling rate of 1 KHz, 10–500Hz band-pass filtering, 60 Hz notch filtering, and electrode placement as recommended by Cram (Cram et al. 1998
).
MRI Acquisition
fMRI was based on the blood oxygenation level–dependent (BOLD) contrast. A transaxial gradient-echo, echo planar imaging sequence (GE/epiVP) was used with following parameters: repetition time = 2 s, echo time = 35 ms, field of view = 20 cm, matrix size = 64 x 64, 21 slices, voxel size = 3.1 x 3.1 x 6 mm. An experimental run consisted of 60 volumes, lasted 2 min, and included 5 cue events. Six experimental runs were obtained for each task (i.e., 30 events per task). A T1-weighted 3-dimensional anatomical MRI was also obtained with a fast spoiled gradient recalled at steady-state sequence for each subject for anatomic coregistration.
Image Analysis
Image preprocessing and statistical analyses were performed using SPM99 (http://www.fil.ion.ucl.ac.uk/spm/) on Matlab (Mathworks, Inc., Natick, MA). Time series fMRI data were aligned in both time and space to account for differences in slice acquisition timing and head motion, respectively. The images were spatially normalized to fit to the Montreal Neurological Institute (MNI) template in a stereotaxic space and then were smoothed with a Gaussian filter of 10-mm full-width at half-maximum (FWHM). The final spatial resolution was
15 mm.
Statistical analyses were conducted at both single-subject and group levels. The single-subject analysis was performed by correlating fMRI signal changes with gamma functions convolved with a canonical hemodynamic response function and its first-order time derivative (fixed effects model). A high-pass filter (90 s) and a low-pass filter (FWHM = 2 s) were applied. Parameter estimation was performed on the basis of the general linear model. The results from the single-subject analysis were assessed through t-statistics with planned linear contrasts on the parameter estimates. The single-subject analysis produced the parameter estimate images for each contrast for each subject. These "summary" images comprised the data for a second-stage analysis, treating subjects as a random variable (random effects model). One-sample t-tests were applied to the magnitude of event-related responses. In the second-level group analysis, we reported all activities that exceeded a threshold P < 0.005 and an extent threshold of P < 0.05 corrected for multiple comparisons. After the conversion of the MNI coordinates to the Talairach coordinates by a nonlinear transform (http://imaging.mrc-cbu.cam.ac.uk/imaging/MniTalairach), the activated regions were determined according to the Talairach Daemon Client (http://ric.uthscsa.edu/projects/talairachdaemon.html). When applicable, the SPM Anatomy Toolbox was used to estimate BA of activity.
For the direct comparison between the blinking and tapping activities, we also set a significance level at a height threshold of P < 0.005 and an extent threshold of P < 0.05 corrected for multiple comparisons. Nonnegligible activity observed at a height threshold of P = 0.01 was reported as a trend. For the blink-specific cingulate areas, where we had a preexisting hypothesis, we employed small volume correction (SVC) with a 7.5-mm radius spherical volume of interest (VOI) to test the significance of the activity. The coordinates (x, y, z = ±3, 12, 50) for the SVC analysis were taken from a previous study reporting a medial frontal activity during spontaneous blinking (Yoon et al. 2005
). We employed this activity to seek cingulate blink areas because its peak was located around the border between BA6 and the cingulate areas. Signal time courses were computed for representative regions by setting 5-mm radius spherical VOIs centered at the voxels with the greatest task-selective difference in activity as determined by the second-level analysis. These VOIs were applied to the first-level time series data to extract BOLD signal time courses from the raw images. The data were converted to percent signal change for each trial and were then averaged across trials for each task for each subject.
As significant interindividual variation in the macroanatomy was reported in the anterior cingulate areas, the location of blinking-selective activity (blinking > tapping) was individually examined. The CS and its vertical branches were identified on each individual's anatomical MRI. The appearance of the paracingulate sulcus (PCS) was evaluated and classified into 3 categories (absent, present, and prominent) according to the criteria proposed by Paus et al. (1996)
. Statistical parametric maps of the blinking-minus-tapping contrast were computed from each individual and overlaid onto the subject's own T1-weighted anatomical image for visual evaluation. In addition, blinking-selective activity in the precentral and medial wall of the frontal gyri was investigated in each individual in the same manner. For the individual-level analysis, the significance of activity was reported at 3 levels (see Table 3). 1) A threshold for significance was set at height threshold of P < 0.05 corrected for multiple comparisons (whole-brain correction) with an extent of at least 5 voxels. The statistical analysis at the individual level was more conservative in terms of the height threshold than at the group level because there was no intersubject anatomical variability. 2) An SVC method (7.5-mm radius VOI) was applied to the caudal part (coordinates: x, y, z = 2, 18, 46) and the rostral part (coordinates: x, y, z = 6, 32, 28) of the rostral cingulate zone and right precentral gyrus (coordinates: x, y, z = 48, 2, 48), where blink-specific activity was observed at the group level. The coordinates were based on the results from the group analysis. See Results and Table 2 for the details of each activity. 3) Nonsignificant activity observed at a height threshold of P = 0.01 was reported as a trend.
| Results |
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Muscle Activity Patterns
Surface EMG revealed that during the blink task, orbicularis oculi were active bilaterally, mostly in isolation of frontalis and zygomaticus major (Fig. 1). However, one subject showed considerable EMG activity in the frontalis. The almost exclusive involvement of orbicularis oculi during the target-blinking task was in sharp contrast to the widespread facial muscle activity observed during the smiling task or the forceful blink task. The blinking task did not reveal any activity in the bilateral first dorsal interossei. On the other hand, the finger-tapping task was isolated to the first dorsal interossei and did not involve orbicularis oculi muscle activity.
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Group Analysis of fMRI Data
General patterns of brain activity during the blinking and bimanual tapping tasks as compared with the fixation baseline are summarized in Table 1 and Figure 2. In brief, the bimanual tapping task produced brain activity in the bilateral M1, dorsal premotor cortex (PMd), primary somatosensory cortex, and medial frontal areas, in addition to the visual areas. The volitional blink task activated the medial frontal areas, bilateral opercular areas extending into the precentral gyrus on the right, and right temporoparietal areas.
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When bimanual tapping-related activity was subtracted from blinking-related activity, there were no significant differences at the corrected threshold for the whole-brain volume. With the SVC analysis, however, blinking-specific activity was detected on the medial hemispheric wall at the level of the PCS (Paus et al. 1996
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At the whole-brain corrected threshold, activity greater during tapping than blinking was observed in the bilateral perirolandic areas (M1, PMd, and primary somatosensory cortex), right parietotemporal area, and medial frontal areas including CMA and ventral SMA. The bimanual tapping-specific medial activity corresponded to the arm representation of the caudal cingulate zone (CCZ) (Picard and Strick 1996
Individual Analysis
As reported previously, considerable variability in gyrus–sulcus pattern was noted in the anterior cingulate areas (Table 3). Out of the 20 hemispheres from 10 subjects, the PCS was prominent in 7 hemispheres, present in 8 hemispheres, and absent in 5 hemispheres. Six subjects showed significant blinking-specific activity in the area consistent with RCZp (4 hemispheres with the whole-brain correction and 6 hemispheres with the SVC correction). Two more subjects showed a trend toward blink-specific RCZp activity (2 hemispheres). The mean stereotaxic coordinates were x = 9.7 mm, y = 15.7 mm, and z = 48.0 mm for the right hemisphere (n = 7) and x = –4.0 mm, y = 20.4 mm, and z = 46.4 mm for the left hemisphere (n = 5). Significant blink-specific activity was also found in the area corresponding to the RCZa in 5 subjects (8 hemispheres with the whole-brain correction). Three more subjects showed a trend toward blink-specific RCZa activity (4 hemispheres). The mean stereotaxic coordinates were x = 11.0 mm, y = 27.5 mm, and z = 32.0 mm for the right hemisphere (n = 8) and x = –7.0 mm, y = 28.5 mm, and z = 32.0 mm for the left hemisphere (n = 4). The relationship between the blinking-specific activity and the sulcus pattern was quite variable, mostly depending on the development of the PCS (Table 3 and Fig. 4). The blink-specific RCZp activity tended to be within the PCS or the vertical branch of the CS. The RCZa activity was more often observed within the CS (8 hemispheres) than the PCS (4 hemispheres).
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Significant blinking-specific activity was observed in the right medial frontal gyrus in 3 subjects (3 hemispheres with the whole-brain correction), corresponding to the SMAc (see Subject 8 in Fig. 4). Another subject showed such a trend in the right medial frontal gyrus. The mean stereotaxic coordinates were x = 11.0 mm, y = –4 mm, and z = 61.5 mm (n = 4). Although blink-specific activity was not so robust in the lateral precentral areas at the group level, the individual analysis revealed blink-specific activity in the precentral gyri consistent with the M1 in 6 subjects (6 hemispheres with the whole-brain correction and 1 hemisphere with the SVC correction). Three more subjects showed such a trend. The mean stereotaxic coordinates were x = 54.4 mm, y = 2.7 mm, and z = 39.6 mm for the right hemisphere (n = 9) and x = –45.7 mm, y = –0.7 mm, and z = 43.3 mm for the left hemisphere (n = 6).
| Discussion |
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Overall, the present blinking task yielded a brain activity pattern similar to that shown previously in the neuroimaging literature about intentional blinking (Bodis-Wollner et al. 1999
The tapping-specific activity on the medial frontal wall was situated in the CCZ and SMAc, which has consistently been demonstrated during bimanual coordination tasks (Stephan et al. 1999
; Jancke et al. 2000
; Immisch et al. 2001
). Both blinking and tapping tasks were fairly simple and unlikely to differ in difficulty. Other components such as recognition of the visual cues, attention to action, motor initiation, and behavioral monitoring should be the same between the 2 behavioral tasks. The component of the motor coordination of bilateral body parts was also intended to be controlled across the tasks, although coordination mechanisms might be somewhat different for different effectors. It is possible that there are special coordination systems for bimanual tapping which seems less naturally bilateral than blinking. In any event, the double dissociation of the blinking- and tapping-related activities strongly indicates that the representations of the bilateral blinking and bimanual tapping are segregated in the cingulate/medial frontal areas. Moreover, the individual analysis clearly showed the 2 distinct upper face representations in the cingulate areas. These results support the somatotopically organized multiple CMA scheme proposed by Picard and Strick (1996)
.
During the blinking task, involvement of other facial muscles, especially that of the frontalis, cannot be completely excluded. However, the sEMG recording showed the predominant involvement of the bilateral orbicularis oculi, largely in isolation from other facial muscles under the condition of the blinking task employed here. Another issue in the interpretation is the involvement of undesigned eye movement. Previous neuroimaging studies have used oculomotor movements that have close relationships with blinking movements as their control tasks and found overlapping brain activity between the 2 tasks (Bodis-Wollner et al. 1999
; Kato and Miyauchi 2003b
). Physiological coupling of blinking with eye movement may largely explain the overlap of oculomotor- and blink-related activities. In the present study, as oculomotor tasks were not included as a control condition, we could not exclude the possibility that the present CMA activities reflected oculomotor components associated with blinking rather than blinking movement itself. In a follow-up fMRI experiment, therefore, brain activity during upper face movement without involving eye movement (raising eyebrows) was compared with activity during vertical eye movement. A preliminary analysis has shown that activity during the upper face movement is overlapped with activity during the vertical eye movement in both cingulate and medial frontal areas; however, significant activity remains, after subtracting the eye movement–related activity from the forehead movement–related activity (Hanakawa and Fukuyama 2005
). This preliminary finding suggests that the upper face and oculomotor representations are adjacent but are segregated in the cingulate/medial frontal motor areas and is compatible with the interpretation that the present blink-specific activity included the upper face representations of the CMAs.
Most previous imaging studies observed blink-related activity in the lateral precentral gyri (Bodis-Wollner et al. 1999
; van Eimeren et al. 2001
; Kato and Miyauchi 2003b
). In the present study, brain activity was significantly greater during blinking movement than the baseline in the opercular area, and this lateral frontal activity extended into the precentral gyrus in the right hemisphere. Further, the blink-specific precentral activity was clearly observed at the individual level. The stereotaxic coordinates of the blink-specific precentral activity (mean z-coordinate = 40–43 mm) are almost the same with or slightly dorsal to those of the lower face movement–related precentral activity in our previous fMRI study (mean z-coordinate = 36–38 mm) (Hanakawa et al. 2005
). This spatial relationship of the upper and lower face motor representations agrees with the somatotopic organization of the precentral motor areas. It is thus likely that upper face movement in humans is subserved by multiple cortical motor regions rather than exclusively by the CMAs. In fact, Gong et al. (2005)
found that, in addition to CMAs, multiple motor areas including the M1 and lateral premotor areas contain premotor neurons of the orbicularis oculi. The lateral precentral areas project predominantly to the contralateral lower facial muscles and relatively weakly, but consistently, to the upper facial musculature via the facial nucleus (Morecraft et al. 2001
). This projection accounts for the movement patterns elicited by cortical stimulation to the lateral cerebral hemisphere (Cohen and Hallett 1988
; Paradiso et al. 2005
). At the group level, blink-related precentral activity was bilateral but was more pronounced in the right hemisphere. Notably, the blinking-specific CMA activity was found more consistently on the right side, which may together provide supporting evidence about the predominant role of the right hemisphere in controlling volitional blinking (van Eimeren et al. 2001
). The precentral zone might be strongly related to the volitional aspect of the blinking movement because natural blinking shows medial frontal activity but lacks precentral activity (Yoon et al. 2005
). The dual innervation of the facial musculature by the lateral and medial motor areas could be related to the fact that there are 2 principal varieties of central facial palsy: the volitional and emotional types.
Our series of imaging and TMS studies have provided supportive evidence for a role of CMAs in controlling upper face movement in humans. The cortical innervation of the facial subnuclei from the CMAs may contribute to the sparing of upper facial muscles after a stroke involving the lateral precentral gyrus in humans. The relative contribution from the medial and lateral motor areas to the control of upper facial movement should be further investigated in the context of volitional and emotional control of facial expression (Hopf et al. 1992
; Wild et al. 2003
). This issue may also have implication for disorders involving blinking such as blepharospasm and motor tic disorders (Devinsky et al. 1995
). Involuntary forceful blinking is one of the most frequent symptoms in tic disorders. In the meantime, it would be worthwhile investigating upper facial weakness carefully in patients with medial frontal lesions to test the role of medial frontal motor areas in the control of the upper facial musculature.
| Funding |
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Intramural Competitive Fellowship of National Institute of Neurological Disorders and Stroke (to TH); Ministry of Education, Culture, Sports, Science, and Technology of Japan (Grant-in-Aid on Fundamental Research [C] [17500210] and on Priority Areas [Mobilligence Project 17022023] to TH); Pfizer grant to the Foundation for the National Institutes of Health (to MAD).
| Notes |
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The first 2 authors contributed equally to this work
| Acknowledgments |
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The authors thank Masako Morimoto for technical help with an initial part of the electromyography analysis. Conflict of Interest: None declared.
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