- Open Access
Aging and selective sensorimotor strategies in the regulation of upright balance
© Bugnariu and Fung; licensee BioMed Central Ltd. 2007
Received: 01 February 2007
Accepted: 20 June 2007
Published: 20 June 2007
The maintenance of upright equilibrium is essentially a sensorimotor integration task. The central nervous system (CNS) has to generate appropriate and complex motor responses based on the selective and rapid integration of sensory information from multiple sources. Since each sensory system has its own coordinate framework, specific time delay and reliability, sensory conflicts may arise and represent situations in which the CNS has to recalibrate the weight attributed to each particular sensory input. The resolution of sensory conflicts may represent a particular challenge for older adults given the age-related decline in the integrity of many postural regulating systems, including musculoskeletal and sensory systems, as well as neural processing and conduction of information. The effects of aging and adaptation (by repeated exposures) on the capability of the CNS to select pertinent sensory information and resolve sensory conflicts were thus investigated with virtual reality (VR) in the present study.
Healthy young and older adults maintained quiet stance while immersed in a virtual environment (VE) for 1 hour during which transient visual and/or surface perturbations were randomly presented. Visual perturbations were induced by sudden pitch or roll plane tilts of the VE viewed through a helmet-mounted display, and combined with or without surface perturbations presented in a direction that was either identical or opposite to the visual perturbations.
Results showed a profound influence of aging on postural adjustments measured by electromyographic (EMG) responses and displacements of the center of pressure (COP) and body's center of mass (COM) in the recovery of upright stance, especially in the presence of sensory conflicts. Older adults relied more on vision as compared to young adults. Aging affects the interaction of the somatosensory and visual systems on the control of equilibrium during standing and the ability of CNS to resolve sensory conflicts. However, even with a one-hour immersion in VE and exposure to sensory conflicts, it is possible for the CNS to recalibrate and adapt to the changes, while improving balance capability in older adults.
Preventive and rehabilitation programs targeting postural control in older adults should take into account the possible impairment of sensory organization or sensorimotor integration and include VE training under conditions of sensory conflicts.
The CNS processes information from multiple sensory channels, and adapts to the environment by generating task-specific and goal-directed movements. Unexpected movement of a support surface elicits rapid, automatic and coordinated postural responses that are triggered primarily by somatosensory afferents [1–4]. These responses are not merely segmental reflexes organized at the level of the spinal cord, but rather depend on the integration of proprioceptive, visual and vestibular information at many levels of the neuraxis [5–7]. Head-based sensors are mapped downwards from neck muscles to leg muscles, whereas somatosensory afferents from the feet and legs are mapped upwards to the trunk .
Visual inputs were once thought to be irrelevant to sudden stance perturbations, since the sensation of motion induced by moving visual fields has a relatively long latency . Subsequent experiments have shown that visual information that conflicts with those arising from other sensory channels can have a rapid and profound effect on postural responses [10, 11]. The influence of moving visual fields on postural stability depends on the characteristics of the visual environment, and of the support surface, including the size of the base of support, its rigidity or compliance [12, 13]. Within physiological limits, a central recalibration process exists to produce appropriate responses even in the presence of sensory conflicts, i.e. when visual perception of the environment is discordant with proprioceptive information gathered from the support surface. Aging is associated with the decline in the integrity of many postural regulating systems [14–16], but its effect on the sensory inputs recalibration process remains to be determined. One question of interest is whether selective sensorimotor strategies necessary to maintain balance in the presence of sensory conflicts can be entrained.
There is a need for intense task-related practice to promote the re-acquisition of motor skills in rehabilitation. Virtual reality (VR) is a valuable tool for therapeutic interventions that require adaptation to complex, multimodal environments . VR systems have been applied to the training of upper and lower extremities after stroke [17, 18], to improve mobility in persons with impaired spatial abilities or to train balance control [19, 20] and in vestibular rehabilitation . Thus, the aim of the present study was to determine the effects of aging and repeated exposures on the capability of the CNS to select pertinent sensory information and resolve sensory conflicts created by VR.
Ten young adults (5 males and 5 females of mean age 26 ± 5.1 y.o.) and 10 older adults (5 males and 5 females of mean age 72 ± 3.3 y.o.) participated in this study. Subjects were healthy with no neurological problems, musculoskeletal conditions or motion sickness. Informed consent to participate in the experiment previously approved by the institutional ethics committee was obtained from all subjects.
During quiet stance, subjects were exposed to random visual and/or surface perturbations consisting of ramp-and-hold tilts of 8° (peak velocity of 36°/s) in each direction of the pitch and roll planes. Visual perturbations were induced by sudden movements of a virtual environment (VE) viewed through a helmet-mounted display (HMD, Kaiser Optics ProView™ XL50, with a field of view of 50° diagonal, 30° vertical × 40° horizontal, weight 36 ounces). The VE consisted of a 3D rendered computer-simulated room generated by SoftImage XSI on a CAREN 2.3.0 Workstation (Motek Inc) and complete with windows, columns, flooring and ceiling textures. The perturbations consisted of: 1) visual-only, the VE was tilted but the surface was stationary; 2) surface-only, the surface was tilted but the VE was fixed; 3) discordant, visual perturbation was combined with synchronized surface perturbation in the same direction, and 4) concordant, visual perturbation was combined with synchronized surface perturbation in the opposite direction resembling the real life perception.
The support surface was mounted over a six-degree-of-freedom motion base servo-controlled by six electrohydraulic actuators . The initial stance posture consisted of weight evenly distributed between feet placed on 2 force-plates (AMTI OR6-7), heels 15 cm apart and feet oriented in a 15° toe-out position. Subjects were instructed to maintain balance to the best of their abilities without taking steps where possible. If a step was taken, the subjects were instructed to resume the initial stance posture. A total of 72 perturbation trials were completed for a minimum of 1 hour VE immersion.
A six-camera VICON 512 system (Oxford Metrics) was used to capture 3D position data at 120 Hz from 36 retroreflective markers placed over anatomical landmarks and 4 markers placed on the movable platform. Ground reaction forces and moments from the force-plates were acquired at 1,080 Hz.
Eight bilateral muscles were instrumented with bipolar Ag-AgCl surface electrodes to record electromyographic (EMG) signals using a Noraxon system: tibialis anterior (TA), gastrocnemius medialis (MG), vastus lateralis (VL), semitendinosus (ST), tensor fascia latae (TFL), erector spinae (ES) at the L3 level, neck extensor (NE) and neck flexor sternocleidomastoideus (SCM). EMG signals were amplified, digitized, band-pass filtered (10–400 Hz low-pass) and sampled at 1,080 Hz. EMG signals were further full-wave rectified and lowpass filtered at 100 Hz during offline analysis. Functional balance and mobility in terms of gait velocity, ability to maintain tandem stance, timed repeated sit-to-stand, as described in a physical performance battery  were assessed before and after VE exposure and perturbation trials.
A biomechanical model (Plug-In Gait) was used in conjunction with kinematic data and anthropometric measures to calculate the displacement of the body's center of mass (COM). Resultant center of pressure (COP) in the horizontal plane was calculated as the weighted sums from the vertical force and anteroposterior (A/P) and mediolateral (M/L) moments from the individual force plate as described previously . Inertial components in forces and COP data due to movement of the support surface were corrected . Muscle latencies were determined as the first burst that exceeded a threshold of two standard deviations above the background mean level and lasting at least 50 ms, with an activation probability of at least 50%. Data from different trials of each individual were ensemble-averaged across each one of the four testing conditions (vision only, surface only, discordant and concordant) and each one of the directions of pitch (toes-up/down) and tilt (left/right-down). These averages were pooled to produce a population average (young and old) for each direction of perturbations and condition of testing. To estimate the ability to adapt, average responses from the first 10 and last 10 trials were also calculated and compared.
During visual-only perturbations, similar and minimal (2–10 mm) postural sway was observed in both the young (gray) and old (black) groups of subjects (bar graphs, Figures 1 and 2). In general, across all other conditions of testing, older adults displayed significantly larger COM peak-to-peak excursions (20 to 40 mm more than young adults). The presence of sensory conflicts in discordant perturbations, and to a certain extent, surface-only perturbations, induced significantly larger COM excursions than concordant perturbations in both young and old adults. However, the presence of sensory conflicts required a larger correction in older adults. During surface-only perturbations, mean COM excursions for older subjects compared to young were 10–15 mm larger in pitch (Figure 1) and 15–25 mm in roll (Figure 2) perturbations. During conditions of discordant perturbations, COM excursions were 30–50 mm and 20–40 mm larger in old subjects compared to young during pitch (Figure 1) and roll (Figure 2) perturbations. During conditions of concordant perturbations, COM excursions were not significantly different between old and young subjects. The average COP values (not shown) displayed similar trends, although always larger in range as compared to the COM.
In older adults, the distal-to-proximal sequence of EMG activation was less consistent, especially under sensory conflicts, during surface-only and discordant perturbations (Figure 3, black diamonds), where a reverse sequence was observed. In some older subjects, following discordant visual and somatosensory stimuli, activation of neck muscles preceded distal leg muscles by 25–70 ms. Generally, the EMG onset latencies of older adults, which were already delayed as compared to young adults, were further prolonged by 40–60 ms in conditions of sensory conflicts. However, adaptation occurred during the one-hour session such that ankle EMG latencies (Figure 3, open triangles) were 20 ms shorter in the last 10/72 perturbations as compared to the first 10 trials.
The average number of steps taken by older subjects also decreased from 3 during the first 10 trials to one in the last 10 trials. At the end of the 1 h immersion in the VE and repeated exposures to sensory conflicts perturbations, four old adults scored 1–2 points higher on their ability to maintain tandem stance. No change was observed in gait speed and timed repeated sit-to-stand. All subjects tolerated well the use of the HMD with the exception of one older subject who reported mild discomfort due to the tight fitting. All subjects were able to complete the 1 h immersion in the VE with no reports of nausea.
Conflicting visual and somatosensory stimuli modulate automatic postural responses in both healthy young and old adults but the presence of sensory conflicts had a larger impact on the selection of appropriate strategies for balance control in older adults. When the VE was manipulated to provide distorted visual perception, i.e. during surface-only or discordant perturbations, older adults took more steps, had longer EMG onset latencies as well as larger COP and COM excursions. Postural instability as measured by COM excursions increase markedly especially during discordant perturbations. Similar age-related postural instability was also reported by Mahboobin et al.  who showed that optic flow induced larger postural responses in old subjects than in subjects who had adapted from unilateral loss of vestibular function. It is plausible that delayed or diminished vestibular and somatosensory inputs in older adults increases their sensory thresholds to complex multimodal stimuli, thereby inducing a greater reliance on visual inputs and making it more difficult for them to respond selectively to visual and physical destabilization. Excessive reliance on visual input may be a natural compensatory strategy to cope with poor balance in seniors, but it can be problematic when the visual information is not reliable.
Visual-only perturbations elicit minimal postural responses in both young and old subjects with only sporadic activations of muscles in older adults, suggesting that under normal circumstances when there is a stable support surface, the somatosensory information is weighted more in regulating upright posture. The use of HMD to deliver the visual perturbation might have also limited the influence of visual inputs. Postural responses coupled with optic flow are less frequent when the optic flow is delivered in a central field of view, like the HMD, as compared to BNAVE display with a full field of view [21, 27]. The influence of moving visual fields on postural stability depends on the characteristics not only of the visual environment, static vs. dynamic , but also of the support surface. Somatosensory information from the lower extremities and trunk is particularly important for maintaining balance when the subject maintains contact with a large, rigid, and stable support surface . In such conditions, quiet stance is usually not destabilized by moving the visual field, except for children who are more visually dependent . In contrast, surface-only perturbations present a postural challenge for both young and old. EMG onset latencies can be delayed and prolonged, while postural sway increases, as compared to concordant visual and somatosensory perturbations. Similar effects of visual stabilization were observed on initial bursts of ankle muscles .
Discordant perturbations are most challenging with longest onset latencies of neck muscles observed in young adults, suggesting that they deal with the mismatch in visual and somatosensory information by either attempting to suppress visual information altogether, or re-weight proprioceptive feedback with increasing reliance. Older adults adopted a completely opposite strategy by activating the neck muscles first, suggesting an excessive reliance on visual inputs or the need to for head stabilization.
With repeated exposures to VR-induced sensory conflicts, a general training effect associated with less stepping responses and improved ability to maintain balance was observed in older adults. The ability to anticipate the physical constraints of the environment and adapt the balance behaviour accordingly is the result of intricate sensorimotor integration. The cognitive processes range from correctly perceiving and interpreting information from different body sensors (somatosensory, vestibular and visual) to planning and coordinating the effectors appropriately to produce the desired movement. Motor learning is promoted by factors such as changing environmental contexts, alterations in the physical demands, problem solving, and random presentation of practice tasks, sufficient practice and patient empowerment . Even with a one-hour immersion in VE and exposure to sensory conflicts, it seems possible for the CNS to recalibrate and adapt to the changes and improve balance capability in older adults. A training program of longer durations is needed to confirm sustainable long-term effects. Preventive and rehabilitation programs targeting postural control in older adults should take into account the possible impairment of sensory organization or sensorimotor integration, and consider VE training under conditions of sensory conflicts as a potential rehabilitation strategy.
Conflicting visual and somatosensory stimuli can modulate automatic postural responses in both healthy young and old adults. Aging affects the interaction of the somatosensory and visual systems on the ability of the CNS to resolve sensory conflicts and to maintain upright stance equilibrium. Therefore, rehabilitation programs targeting postural control in seniors should take into account the possible impairment of sensory organization and consider the inclusion of exercises performed under conditions of sensory conflicts.
This work was supported in part by the Canadian Institutes of Health Research and the Jewish Rehabilitation Hospital (JRH) Foundation. Nicoleta Bugnariu was funded by a Tomlinson postdoctoral research fellowship award at McGill University. Joyce Fung is a William Dawson Scholar at the School of Physical and Occupational Therapy, McGill University and senior research fellow of the Fonds de la Recherché en Santé du Québec (FRSQ). She is also the Director of Research at the JRH, a site of the Montreal Research Center for Interdisciplinary Research in Rehabilitation (CRIR).
The authors would like to thank all participants, as well as Christian Beaudoin, Luncinda Hughey, Eric Johnstone and Erika Hasler for their skilful help and assistance.
- Diener HC, Horak FB, Nashner LM: Influence of stimulus parameters on human postural responses. J Neurophysiol 1988, 59: 1888-1905.PubMedGoogle Scholar
- Inglis T, Macpherson JM: Bilateral labrynthectomy in the cat: effects on postural response to translation. J Neurophysiol 1995, 73: 1181-1191.PubMedGoogle Scholar
- Runge CF, Shupert CL, Horak FB, Zajac FE: Role of vestibular information in initiation of rapid postural responses. Exp Brain Res 1998, 122: 403-412. 10.1007/s002210050528View ArticlePubMedGoogle Scholar
- Fung J, Hughey L: Postural responses triggered by multidirectional leg litfs and surface tilts. Exp Brain Res 2005, 165: 152-166. 10.1007/s00221-005-2295-9View ArticlePubMedGoogle Scholar
- Fung J, Macpherson JM: Attributes of quiet stance in the chronic spinal cat. J Neurphysiol 1999,82(6):3056-3065.Google Scholar
- Macpherson JM, Fung J: Weight support and balance during stance in the chronic spinal cat. J Neurophysiol 1999, 82: 3066-3081.PubMedGoogle Scholar
- Horak FB, Macpherson JM: Postural orientation and equilibrium. In Handbook of Physiology: Section 12: Integration of Motor, Circulatory, Respiratory and Metabolic control during Exercises. New York Edited by: Davis FA. 1996, 22-46.Google Scholar
- Mergner T, Huber W, Becker W: Vestibular-neck interaction and transformation of sensory coordinates. J Vestib Res 1997,7(4):347-67. 10.1016/S0957-4271(96)00176-0View ArticlePubMedGoogle Scholar
- Nashner L, Berthoz A: Visual contribution to rapid motor responses during postural control. Brain Res 1978,150(2):403-7. 10.1016/0006-8993(78)90291-3View ArticlePubMedGoogle Scholar
- Vidal PP, Berthoz A, Millanvoye M: Difference between eye closure and visual stabilization in the control of posture in man. Aviat Space Environ Med 1982,53(2):166-70.PubMedGoogle Scholar
- Keshner EA, Kenyon RV, Langston J: Postural responses exhibit multisensory dependencies with discordant visual and support surface motion. J Vestib Res 2004,14(4):307-19.PubMedGoogle Scholar
- Streepey JW, Kenyon RV, Keshner EA: Field of view and base of support width influence postural responses to visual stimuli during quiet stance. Gait Posture 2006,25(1):49-55. 10.1016/j.gaitpost.2005.12.013View ArticlePubMedGoogle Scholar
- Keshner EA, Kenyon RV: Using immersive technology for postural research and rehabilitation. Assistive Technology 2004,16(1):54-62.View ArticlePubMedGoogle Scholar
- Horak F, Shupert C, Mirka A: Components of postural dyscontrol in the elderly: a review. Neurobiol Aging 1989, 10: 727-745. 10.1016/0197-4580(89)90010-9View ArticlePubMedGoogle Scholar
- Manchester D, Woollacott M, Zederbauer-Hylton N, Marin O: Visual, vestibular and somatosensory contributions to balance control in the older adult. J Gerontol 1989, 44: M118-M127.View ArticlePubMedGoogle Scholar
- Maki BE, McIlroy WE: Postural control in the older adult. Clin Geriatr Med 1996, 12: 635-658.PubMedGoogle Scholar
- Holden M, Todorov E, Callaban J, Bizzi E: Virtual environment training improves motor performance in two patients with stroke. Neurology Report 1999, 23: 57-67.View ArticleGoogle Scholar
- Deutsch JE, Latonio J, Burdca GC, Boian R: Post-stroke rehabilitation with Rutgers ankle system A case study. Presence 2001, 10: 416-430. 10.1162/1054746011470262View ArticleGoogle Scholar
- McComas J, Sveistrup H: Virtual reality application for prevention, disability awareness and physical therapy rehabilitation in neurology: our recent work. Neurol Report 2002, 26: 55-61.View ArticleGoogle Scholar
- Sveistrup H: Motor rehabilitation using virtual reality. J Neuroengineering Rehabil 2004,1(1):10. 10.1186/1743-0003-1-10PubMed CentralView ArticleGoogle Scholar
- Whitney SL, Sparto PJ, Brown K, Furman JM, Jacobson JL, Redfern MS: The potential use of virtual reality in vestibular rehabilitation: Preliminary findings with the BNAVE. Neurology Report 2002, 26: 72-78.View ArticleGoogle Scholar
- Henry S, Fung J, Horak FB: Control of stance during lateral and anterior/posterior surface translations. IEEE Trans Rehab Eng 1998,6(1):32-34. 10.1109/86.662618View ArticleGoogle Scholar
- Fung J, Johnstone E: Lost in space. Multi-axial and multi-dimensional surface perturbations delivered by a novel motion base device [abstract]. Soc Neurosci 1998,24(1):1158.Google Scholar
- Guralnik JM, Ferrucci L, Pieper CF: Lower extremity function and subsequent disability: consistency across studies, predictive models, and value of gait speed alone compared with the short physical performance battery. J Gerontol A Biol Sci Med Sci 2000,55(4):M221-M231.View ArticlePubMedGoogle Scholar
- Preuss R, Fung J: A simple model to estimate force plate inertial components in a moving surface. J Biomechanics 2004, 37: 1177-1180. 10.1016/j.jbiomech.2003.12.007View ArticleGoogle Scholar
- Mahboobin A, Loughlin PJ, Redfern MS, Sparto PJ: Sensory re-weighting in human postural control during moving-scene perturbations. Exp Brain Res 2005,167(2):260-7. 10.1007/s00221-005-0053-7View ArticlePubMedGoogle Scholar
- Sparto PJ, Redfern MS, Jasko JG, Casselbrant ML, Mandel EM, Furman JM: The influence of dynamic visual cues for postural control in children aged 7–12 years. Exp Brain Res 2006,168(4):505-16. 10.1007/s00221-005-0109-8View ArticlePubMedGoogle Scholar
- Amblard B, Cremieux J, Marchand AR, Carblanc A: Lateral orientation and stabilization of human stance: static versus dynamic visual cues. Exp Brain Res 1985,61(1):21-37. 10.1007/BF00235617View ArticlePubMedGoogle Scholar
- Woollacott M, Sveistrup H: Changes in the sequencing and timing of muscle response coordination associated with developmental transitions in balance abilities. Human Movement Sci 1992, 11: 23-36. 10.1016/0167-9457(92)90047-FView ArticleGoogle Scholar
- Winstein CJ: Knowledge of the results and motor learning: implications for physical therapy. Physical Therapy 1991, 71: 140-149.PubMedGoogle Scholar
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