Neural mechanisms involved in mental imagery and observation of gait
Introduction
Walking movement requires coordinated patterns of muscle activation, anti-gravity control of the moving body mass, balance, and modulation of these controls to meet environmental demands (Patla, 1991). The central pattern generators (CPG) in the spinal cord are believed to elicit rhythmic muscle activation (Grillner, 2006). Similarly, brainstem locomotor regions and related structures in the reticular formation probably mediate gait movement in both quadrupeds and bipeds (Takakusaki et al., 2003).
However, several lines of evidence suggest that the driving of those basic locomotor modules is strongly dependent on cortical input in humans. First, patients with complete spinal cord transection are not able to walk spontaneously (Bussel et al., 1996, Calancie et al., 1994). Second, the supplementary motor area (SMA) has been reported to be involved in initiation and termination of gait (Crenna and Frigo, 1991, Jian et al., 1993, McFadyen and Winter, 1991), and patients with premotor cortex (PM) lesions exhibit locomotor difficulty when turning or negotiating narrow passages (Nutt et al., 1993). In addition, although patients with “gait apraxia” exhibit no paresis or sensory deficit, they cannot perform normal walking movement. Although the site of lesions is generally difficult to be determined in gait apraxia, a higher-order cortical center such as the SMA is reported to be responsible (Della Sala et al., 2002). Third, neuroimaging studies with near-infrared spectroscopy (NIRS) and single photon emission computed tomography (SPECT) have shown that human gait is associated with widespread cortical brain activity involving the SMA, PM, primary motor cortex, and primary somatosensory cortex, in addition to subcortical structures (Fukuyama et al., 1997, Hanakawa et al., 1999a, Hanakawa et al., 1999b, Miyai et al., 2001).
Furthermore, the interaction of gait control mechanisms with visual information from the environment likely occurs at the cortical level. Visual information from the environment significantly affects posture and gait especially during infancy and childhood (Sparto et al., 2006, Sundermier and Woollacott, 1998). Visual information sometimes ameliorates gait disturbance in Parkinson disease, and this “paradoxical gait” phenomenon is probably mediated by PM activity (Hanakawa et al., 1999a). In the real-life walking environment, we often need to modify our own gait plans by observing other people's walking behavior. In this regard, there should be a system mediating the interaction of walking behavior among people through the visual information. Interestingly, mere observation of actions involving various body parts elicits activation in motor-related areas such as the PM in a somatotopically organized fashion (Buccino et al., 2001). Similar to action observation, motor imagery shares substantial functional circuits with motor execution and involves the PM, SMA, basal ganglia, and cerebellum (Grezes and Decety, 2002, Hanakawa et al., 2003b). The cortical motor areas exhibit somatotopically aligned activity during motor imagery, as during motor execution (Ehrsson et al., 2003, Hanakawa et al., 2005).
To explore higher-level cortical gait planning centers in humans, we investigated brain activity in healthy volunteers, using functional magnetic resonance imaging (fMRI). Since the MRI environment excluded direct assessment of gait movement, we used a paradigm assessing activation of the motor network during imaginary gait (Jahn et al., 2004, Malouin et al., 2003, Sacco et al., 2006). Recently, a virtual reality environment that supplies realistic visual feedback mimicking that during real walking has been used to produce imaginary locomotion (Buekers et al., 1999, Fung et al., 2006, Hollman et al., 2006). Slobounov et al. combined such a virtual reality environment with fMRI in order to create the environment that is impossible to materialize in the MRI scanner (Slobounov et al., 2006). In the present study, we employed visual stimuli that appeared to elicit mental imagery of gait by non-interactive, passive viewing (“virtual walking”). We hypothesized that such stimuli would help invoke motor planning programs for the subject's own gait and produce active mental rehearsal of motor acts (gait imagery from the first-person perspective). This idea was tested in a behavioral experiment separately from the fMRI experiment. Other experimental conditions included observation of other people's walking-related behavior (“gait observation”), which should concern visual recognition of gait movement performed by others. The recognition and understanding of other people's walking behavior may be mediated by a sort of gait imagery from the third-person perspective and may also involve higher-order gait planning centers in the cerebral cortex. It was hypothesized that such gait planning centers could be situated in the posterior frontal lobe, particularly the SMA and PM, which have been consistently shown to be activated during actual walking.
Section snippets
Subjects
Sixteen healthy volunteers (13 men and 3 women), with a mean age of 34.3 years (S.D. = 4.6), participated in this study. All were right-handed. They had no history of any psychiatric or neurological disorder such as gait disturbance, physical illness, or drug/alcohol abuse. The subjects were fully instructed on the details of the experiment, and informed written consent was obtained from all of them in accordance with the guidelines approved by our Institutional Review Board (Kyoto University
Behavioral experiment
The mean rating of the vividness of the mental image was 3.0 (S.D. = 0.8) during the behavioral experiment. The correlation between virtual and actual cadences was evident for each individual's level (r = 0.67–0.95, P < 0.05 for each subject), despite substantial inter-subject variability in the estimation of virtual cadence, which ranged from underestimation (virtual cadence/actual cadence = 0.51) to overestimation (2.17) (Fig. 2). The virtual and actual cadences were also significantly correlated in
Experimental confounds and behavioral experiment
In the present experiment, the VW stimuli were used to enhance first-person gait imagery and the GO stimuli were employed to induce recognition of gait movement from the third-person perspective. Effort was made to control the elemental aspects between the distinct stimulus categories as mentioned in the method, yet purely perceptual differences between those stimuli would still exist. It may be difficult to exclude the possibility that those residual perceptual differences among the stimuli
Conclusion
To our knowledge, this is the first study to explore the neural network involved in the observation of gait and related conditions in combination with motor imagery of gait. The most significant finding of this study was the activation of SMA and PM during both observation of gait and mental imagery of gait. As SMA and PM are known for their roles for visuomotor control of gait, the activity is likely to reflect the activation of the visuomotor program for cognitive analysis of gait-related
Acknowledgments
This study was supported in part by a Grant-in-Aid on Fundamental Research (C) (17500210) to T.H. from the Japan Promotion of Science and Grant-in-Aid on Priority Areas (Mobiligence 20033030 and Integrative Brain Research 20019041 to T.H. and System study on higher-order brain function 20020013 to H.F.) from the Ministry of Education, Culture Sports, Science, and Technology, Japan.
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