- Open Access
A “virtually minimal” visuo-haptic training of attention in severe traumatic brain injury
© Dvorkin et al.; licensee BioMed Central Ltd. 2013
Received: 5 June 2012
Accepted: 26 July 2013
Published: 9 August 2013
Although common during the early stages of recovery from severe traumatic brain injury (TBI), attention deficits have been scarcely investigated. Encouraging evidence suggests beneficial effects of attention training in more chronic and higher functioning patients. Interactive technology may provide new opportunities for rehabilitation in inpatients who are earlier in their recovery.
We designed a “virtually minimal” approach using robot-rendered haptics in a virtual environment to train severely injured inpatients in the early stages of recovery to sustain attention to a visuo-motor task. 21 inpatients with severe TBI completed repetitive reaching toward targets that were both seen and felt. Patients were tested over two consecutive days, experiencing 3 conditions (no haptic feedback, a break-through force, and haptic nudge) in 12 successive, 4-minute blocks.
The interactive visuo-haptic environments were well-tolerated and engaging. Patients typically remained attentive to the task. However, patients exhibited attention loss both before (prolonged initiation) and during (pauses during motion) a movement. Compared to no haptic feedback, patients benefited from haptic nudge cues but not break-through forces. As training progressed, patients increased the number of targets acquired and spontaneously improved from one day to the next.
Interactive visuo-haptic environments could be beneficial for attention training for severe TBI patients in the early stages of recovery and warrants further and more prolonged clinical testing.
Traumatic brain injury (TBI) affects 1.5 million people each year in the United States alone and frequently leads to a variety of sensorimotor and cognitive deficits . Among these, attention deficits are one of the most profound problems facing the traumatic brain injured individual . Inattentiveness and difficulty focusing and concentrating on a task are among the most prominent symptoms. Survivors of moderate-to-severe TBI, especially in the acute and subacute phases, exhibit deficits in the more basic aspects of attention. Later in the recovery process patients exhibit more subtle deficits. Since attention plays a major role in many cognitive functions, attention has been the target of various types of rehabilitation programs for TBI survivors, for both inpatient rehabilitation and postacute or community re-entry settings [3, 4]. However, treatment outcome studies for the inpatient population, especially the severely impaired population, are scarce [3, 5–7]. There have been even fewer studies that might advance new treatments that can be tolerated by this population.
The most studied approach to attention rehabilitation is the Attention Process Training (APT), which provides the patient with repetitive attention exercises that increase in complexity . Several studies that evaluated the effectiveness of APT, demonstrated the beneficial effects of APT on attention [9–13]. Other novel approaches to attention rehabilitation teach compensatory strategies  and use computers to remediate attention [15, 16]. Evidence-based reviews of the various studies show that while rehabilitation programs tend to improve attention in the more chronic and higher functioning patients, to date, there is insufficient evidence for the effectiveness of specific interventions for attention deficits for the inpatient population at the early stages of recovery [4, 17, 18].
Technological advancement in robotics and display technology in recent years has enhanced our ability to provide new rehabilitation pathways. With new technology in robot-rendered haptics (sense of touch), several rehabilitation studies have demonstrated great promise. Virtual Reality (VR) can be used to create relevant simulated environments with which a user can interact and where treatment of cognitive and motor deficits can take place. It provides highly controllable interactive environments that support repetitive delivery. It also provides the ability to introduce distractions when required, objectively measure, and remediate attention in challenging, safe, and meaningful environments. Robotic devices can be integrated with a VR system to allow more sophisticated visuomotor interactions that can also quantify various aspects of cognitive and motor functions .
VR and robotics technology have been shown to be an effective tool in different domains of therapy in TBI [20–24], and have been shown to enhance patient motivation and enjoyment [25, 26], important factors in successful rehabilitation . The majority of studies testing the efficacy of using these technologies in rehabilitation however were done with the stroke population. To date, there is a paucity of literature on the use of technology that stimulates visuomotor interactions in the TBI population, especially for assessment and rehabilitation of attention. This is ironic, because physically salient stimuli have been known to capture attention. Previous studies have demonstrated that sustained spatial attention operates across sensory modalities such as vision and touch [28, 29]. It has also been shown that spatial information from tactile cues is effective at directing overt visual attention to locations in space . Moreover, studies have shown that integrating visual and tactile stimuli results in better performance compared with individual presentations in either modality alone [31–33]. Therefore, integrating visual targets with haptic cues such as nudges during attention loss (a pause in movement) or a haptic break-through barrier around the visual target (a resistive haptic force giving subjects a “break-through” sensation as they acquired the target) might better recapture or sustain attention in subjects who have experienced a brain injury. In a previous preliminary study with fewer subjects, we demonstrated that such haptic interactions were well-tolerated by moderate-to-severe TBI survivors (Rancho Los Amigos level of IV-VII; ) who received acute inpatient rehabilitation [24, 35]. The study further analyzed the efficacy of an application that provided consistent cues when participants exhibited off-task behavior .
Here we expand on our previous work on a larger sample size of 21 severely impaired TBI inpatients (Rancho level of IV-V), to evaluate how haptic cues might be beneficial for remediation of attention, and we further analyze the spatial and temporal kinematics of movements. The severely impaired TBI inpatient population during early stages of recovery is challenging. It was therefore important to evaluate the parameters necessary for a future protracted study with repeated treatments. It was hypothesized that a technology that allows control of environmental distractions and of task difficulty might lead to short-term benefit (increase number of targets acquired), which in turn might lead to longer-term benefits (increase attention). It was also hypothesized that haptic feedback would capture, redirect and help sustain the patient’s attention, and a target that could be both seen and felt would enhance performance by increasing number of targets acquired. The main findings revealed that this group of patients improved over time and benefited from haptic cues while showing some degradation of performance when face with haptic break-through barriers.
21 severe TBI patients (17 males, 4 females) in the early stages of recovery were recruited from the inpatient unit at the Rehabilitation Institute of Chicago. Personal and clinical details are shown in Table 1. Patients who were recruited for the study had attention deficits, considered to be in early stages of recovery (scoring IV or V on the Rancho Los Amigos scale, based on clinical evaluation pre-test), and had upper extremity strength of at least 4 out of 5. Patients had no visual field defects or hemispatial neglect that prevented perception of test stimuli. All procedures were approved by the Institutional Review Board of Northwestern University.
Personal and clinical details
Weeks since injury
RLA (level IV and V)
17 M; 4 F
37.8 ± 17.9
10.3 ± 15.6
5 IV; 16 V
Apparatus and data collection
Patients were required to hold the handle of the robot and move the handle toward targets that appeared within the visuo-haptic virtual environment. Only one target and a cursor (representing the location of the tip of the robot) appeared within the scene at a time. Targets appeared randomly at various locations in the 3D space. Each trial continued until the target was acquired or 10 seconds elapsed. Following the completion of a trial, a new target appeared on screen. Patients were tested on 2 consecutive days. On each day patients completed 6 blocks of trials, each lasting 4 minutes and containing unlimited number of trials. That is, patients reached toward as many targets as possible. Patients were allowed to rest between blocks.
On each day, each pair of blocks included one of the following haptic conditions: (1) no haptic feedback (‘no force condition’), (2) a break-through force, similar to popping a balloon (‘break-through condition’), or (3) a gentle pulse of force (‘haptic nudge condition’). The order of the blocks presentation was randomized on both days.
The design of the break-through force is depicted in Figure 1B. In brief, forces were exerted in the following way: as patients approached the target, the robotic arm pushed back with a repulsor force. As they overcame the force, it gave way to an attractor force that pulled them smoothly to the center of the target. The attractor force was reduced to zero at the target center.
The haptic nudge was defined as a force of 1 N, lasting 250 ms, exerted in the direction of the target center. The nudge was applied if the system detected no movement (hand speed below 0.05 m/s) for a 1 s period. The nudge was intended to capture attention (that included a directional component) to cue patients to resume the movement.
Spatial and temporal kinematic parameters of the reach movement were calculated for each trial. These included total trial time (s), from target appearance to trial completion, as well as hand path, velocity (m/s), and distance from target (m). The duration (s) of any pauses that occurred during the course of the movement were also calculated. A pause was defined as an interval of at least 50 ms in which the patient’s hand was not moving (velocity less than 0.06 m/s). The number of targets acquired in a block was also calculated. The Kolmogorov-Smirnov test was used to test for normality of the data. Statistical analysis was conducted using χ2 test (for number of pauses and nudges), paired t-test (for number of targets acquired), and one-way and two-way repeated measures ANOVAs with visit, force type (no force, break-through, or nudge), and block number as within-subject factors. The significance level was set at 0.05. Post-hoc analyses were conducted using Bonferroni tests.
Tolerance of technology and procedure
Treatment during early stages of recovery in the TBI inpatient population is challenging; behavioral problems exhibited by some patients limit the ability to provide care. Therefore, it was important to first evaluate how such patients tolerate the technology and procedure. We have previously reported observations of subjective response to technology and procedure in a smaller group of patients . Here we report that the interactive visuo-haptic environment was well-tolerated by 18 of the 21 patients, completing the experiments over two days. Three patients could not complete the 6 blocks in each visit due to either fatigue or excessive frustration. Patients exhibited no signs of intimidation by the technology and no deterioration in attention as the study progressed. Despite behavioral problems commonly exhibited in this population during therapy (e.g., agitation and restlessness), the interactive visuo-haptic environment was engaging and motivating for almost all patients. Using a problem behavior checklist adapted from the agitated behavior scale (see ) appropriate for characterizing patients at that low level of functioning, frequency of observed problem behaviors such as excessive talking, violent behavior, and removal of 3D glasses, has been documented in 15 patients and was reduced on the second visit.
During the study patients were exposed to forces delivered by the robot (i.e., nudge and break-through forces). We found that as the haptic forces came on, all patients tolerated them and were able to continue the experiment. Two patients responded to the haptic nudge by pulling in the opposite direction of the force. While one of these patients continued this response during both visits, this response diminished in the second patient as the study progressed.
Attention loss during a task
Effects of haptic feedback type on performance
Summary of means and standard deviation for measured variables, for the three haptic conditions across visits
# Targets acquired
79.4 ± 46.7
78.7 ± 42.5
85 ± 44.1
107.9 ± 41.7
101.5 ± 43.8
108.4 ± 43.4
# Pause per trial
2 ± 2.4
2 ± 2.5
2.2 ± 3.3
1.4 ± 1.9
1.4 ± 1.8
1.5 ± 2.4
Pause duration (ms)
305.3 ± 525
299.6 ± 505.1
312.8 ± 630
295.8 ± 624.3
294.6 ± 644.2
246.7 ± 385.8
# Nudges per trial
2.46 ± 1.9
2.1 ± 1.6
Results indicated benefits in most patients from the haptic nudge both before and during a movement. These patients regained concentration on the task and were able to complete the reaching movement and acquire the target (Figure 3B). The beneficial effect of the haptic nudges compared to the other two conditions however was obvious mostly on the first visit. This was in part related to the number of nudges provided, as patients needed less assistance from nudges as the study progressed. The overall number of nudges documented on the first and second visits (776 and 469 respectively) showed a significant decrease of 40% (χ2(1) = 75, p < .0001). Note, however, that although there was an overall beneficial effect of the haptic nudges, 5 of 21 individuals showed a slight performance decrement (Figure 3A).
Compared to nudge and no force, break-through resulted in less targets acquired on both visits. To further investigate why break-through forces somewhat degraded performance, we separated the total trial time (from target appearance to trial completion) into the time spent “outside” and “inside” of the force sphere. That is, the time from target appearance till the cursor reached the boundary representing a sphere around the target in which forces were active, and the time the cursor was on or within that force sphere. Since nudge and no force conditions included no such force boundary, the same sphere dimensions were used to calculate the time separation for these conditions. Repeated measures ANOVA collapsed across visits on the time spent “inside” the force sphere showed a significant main effect of force type (F(2,34) = 24.1, p < 0.0001), indicating longer time for break-through condition. Bonferroni post-hoc test showed that time on break-through trials was significantly longer than on the no force and nudge conditions (p < 0.0001) which were not different from each other. This held true on both the first and second visits.
An intriguing observation of the hand path revealed that in some patients the force boundary (in the break-through condition) was apparently perceived as an obstacle. Once the cursor reached the boundary, patients moved the cursor on the surface of the boundary before overcoming the force and moving toward the center of the target (Figure 3C). This resulted in prolonged time spent “inside” the force sphere.
Improvement in performance
Interestingly, a paired t-test on the number of targets acquired in the last block on the first visit and in the first block on the second visit approached significance (t(17) = −2, p = 0.06). Although not significant (due to large variability in the data), there is an obvious trend suggesting that patients improved overnight between visits.
The current study tested a “virtually minimal” training paradigm for restoring attention in the severely impaired TBI inpatient population in the early stages of recovery. This study showed that such interactive visuo-haptic environments are well-tolerated (technology and procedure, including tolerance of forces), engaging, and promote improvement in this population (see also ). Subjects typically remained attentive to the task, improved progressively from session to session, and also showed spontaneous improvement from one day to the next. This approach could be beneficial for developing attention training technology for this inpatient population.
Only a few studies have explored treatment of the severely impaired inpatient TBI population [6, 7]. Since patients often exhibit severe impairment of both focused and sustained attention, and since they are easily distracted by visual and auditory stimuli in the clinical environment they have great difficulty in staying engaged and sometimes withdraw from therapy or research. Evidence-based reviews support the effectiveness of attention rehabilitation following TBI in chronic and more high-functioning patients, but there is a lack of evidence to either support or recommend against attention training for the acute inpatient [4, 17, 18]. Our results agree with these authors in their recommendation that computer-based interventions can be an adjunct to clinician-guided treatment for rehabilitation of attention.
There are several reasons why methods that use interactive visuo-haptic environments have potential advantages over more standard forms of clinical care for the inpatient TBI population. The virtually minimal approach (a dark space with only a cursor and a target) eliminates extraneous distractions to a level not possible in a clinic environment, while allowing the clinicians to provide verbal cues and hand-on-hand assistance. Furthermore, targets are both seen and felt (haptically) by the subjects, engaging the sensory, tactile, and proprioceptive systems in the practice. Some subjects also perceived the task as a video game that drew and sustained their attention. Finally, the device can tirelessly and safely administer the task for prolonged periods with little or no supervision while measuring and recording accurate performance information on the subject.
Interestingly, patients in our study appeared to benefit from practice and to improve overnight between visits. Previous studies have shown that sleep contributes to memory consolidation . Our findings were surprising since patients who are Rancho scale level V’s are expected to have very little memory retention from one day to the next, while Rancho IV’s typically have none. Since we observed both improvement and retention, we believe these approaches have potential for rehabilitation in this population. Further study is necessary to show a functional benefit that accumulates over multiple repeated visits during the inpatient’s stay.
Our observations showed that attention loss during a task was common and could occur either between (indicated by prolonged initiation or no initiation) or during movements. While failure to initiate is a well-known phenomenon in this population, it is unclear whether it is fully due to attention loss or to some other neurological mechanisms seen in other neuropathology such as Parkinson’s disease. Paused movements have been previously reported in healthy individuals and Parkinson’s disease patients [37, 38]. These studies however required subjects to reach for targets in the presence of a visual perturbation (a target displacement and roll visual motion), which interfered with the ability to update the visuomotor response to the visual changes. Interestingly, the pauses we observed during motions are a striking result in the context of motor control theories, which suggest that limb actions involve a “ballistic” launch phase followed by corrections if necessary . During reaching movements, the brain computes an estimate of future limb positions based on both predictive internal models and real-time feedback. The launch phase (before any feedback has yet arrived) appears to be completely interrupted on some patients’ motions, suggesting that this so-called ballistic phase may be much less automatic and uninterruptable than has been originally assumed. Such observed mid-movement pauses may also be associated with the neurological disorder of task impersistence, which is a failure to re-initiate activity without receiving immediate reward  and is associated with frontostriatal dysfunction . The observed pauses during movements might be explained either by attentional or motor control deficits also sometimes observed in these patients. Interestingly, all patients enrolled exhibited some movements in which the patterns were perfectly consistent with reaching movements made by healthy individuals. We would expect that if there were any motor control deficits, we would have observed them consistently in all movement. We observed none of the typical motor deficits normally seen in TBI, stroke and spinal cord injury, such a spasticity, weakness, or contractures. By contrast, attention deficit commonly can fluctuate from one moment to the next, and verbal cues can rapidly and effectively redirect attention. We observed that patients often responded well to a cue (the “nudge”) to resume movement following a pause, more consistent with an attentional etiology. We therefore suspect that deficits observed were due to attentional and not motor control deficits, although involvement of motor control deficit cannot be entirely ruled out.
Previous studies have shown the beneficial effect of integrating visual and haptic feedback on performance . Studies have further demonstrated strong crossmodal links in spatial attention between the two modalities, and how tactile cues are effective in capturing and directing overt visual attention [29, 30]. The rationale behind the inclusion of the force conditions in our study was to use this form of multisensory integration to enhance performance. Our findings indicated that the haptic nudge condition resulted in superior performance compared to the no force and break-through conditions, although the effect was not large. Most patients (but not all) benefited from the nudge (a haptic cue), which directed them back to task, both before and during a movement toward the target. Patients regained concentration on the task and were able to complete the reaching movement. As patients’ performance improved, the assistance they required to stay on task and complete a movement was reduced. This was evident on the second visit from the number of nudges provided (40% less on the second visit), as well as from the reduced frequency of problem behaviors and need for instructions and cues; see also . This however needs further investigation in a protracted study with repeated treatments to determine whether nudges are optimal only for the very initial stages of rehabilitation and not required thereafter.
Surprisingly, there have been very few (if any) attempts to engage the attention of patients in an interactive task that not only engages several sensory systems, but also reduces distractions. To our knowledge only one published work used haptic feedback for training on a single individual with a chronic TBI . This study showed results similar to ours -- the treatment was well tolerated and performance incrementally improved across practice. Engaging the nervous system with tactile feedback that is salient and highly relevant to the task may be a prominent method for engaging and sustaining the attention of these patients. However, because one mode of haptic feedback used in our study (i.e., break-through) increased completion times, it may be that some forms of tactile stimulation may also distract the patient and hence should be used with caution as well as evaluated for their efficacy. Interestingly however, these patients were still attending to the task and continued to move while interacting with the force boundary. Hence, while subjects might have switched to a new task -- exploring the surface, they appeared to remain tolerant of the procedure conditions and continued to attend to what they were doing.
The “virtually minimal” training approach used in this study included simple repetitive reaching toward targets over two visits. Patients’ performance improved as the study progressed, but leveled off during the second visit. This might reflect a “ceiling effect” of their performance. Furthermore, several patients mentioned that they were getting bored performing the same task in later sessions. Our minimal interactive environment approach allows for controlling the presented stimuli, environmental distractions, and level of assistance provided during the task. This foundational work also allows for further design of more progressive and challenging levels of interactive environments. While our approach appears to be most effective in the first few treatment sessions during early rehabilitation of TBI, a protracted study with repeated treatments that progressively challenges attention may be optimal. We have recently reported on a single case study that demonstrated how 2-week treatment approach was associated with improved engagement in therapy, decreased disruptive behavior, and more sensitive measurement of progress . What is clear in the current preliminary work is the promise of such treatments for remediation of attention in this severely impaired population.
Written informed consent was obtained from the subject for the publication of this report and the accompanying image.
We gratefully acknowledge Kathleen Beck and Lindsay Davitt for assisting with initial study design and data collection. This work was supported by the US Department of Education, National Institute on Disability and Rehabilitation Research (Grant #H133A080045A). The opinions expressed here do not necessarily represent the policy of the Department of Education.
- Rutland-Brown W, Langlois JA, Thomas KE, Xi YL: Incidence of traumatic brain injury in the United States, 2003. J Head Trauma Rehabil 2006, 21: 544-548. 10.1097/00001199-200611000-00009View ArticlePubMedGoogle Scholar
- Whyte J, Grieb-Neff P, Gantz C, Polansky M: Measuring sustained attention after traumatic brain injury: Differences in key findings from the sustained attention to response task (SART). Neuropsychologia 2006, 44: 2007-2014. 10.1016/j.neuropsychologia.2006.02.012View ArticlePubMedGoogle Scholar
- Hart T, Whyte J, Millis S, Bode R, Malec J, Richardson R, Hammond F: Dimensions of disordered attention in traumatic brain injury: further validation of the Moss Attention Rating Scale. Arch Phys Med Rehabil 2006, 87: 647-655. 10.1016/j.apmr.2006.01.016View ArticlePubMedGoogle Scholar
- Cicerone KD, Langenbahn DM, Braden C, Malec JF, Kalmar K, Fraas M, Felicetti T, Laatsch L, Harley JP, Bergquist T, Azulay J, Cantor J, Ashman T: Evidence-based cognitive rehabilitation: updated review of the literature from 2003 through 2008. Arch Phys Med Rehabil 2011, 92: 519-530. 10.1016/j.apmr.2010.11.015View ArticlePubMedGoogle Scholar
- Whyte J, Polansky M, Fleming M, Coslett HB, Cavallucci C: Sustained arousal and attention after traumatic brain injury. Neuropsychologia 1995, 33: 797-813. 10.1016/0028-3932(95)00029-3View ArticlePubMedGoogle Scholar
- Novack TA, Caldwell SG, Duke LW, Bergquist TF: Focused versus unstructured intervention for attention deficits after traumatic brain injury. J Head Trauma Rehabil 1996, 11: 52-60. 10.1097/00001199-199606000-00008View ArticleGoogle Scholar
- Vanderploeg RD, Schwab KS, Walker WC, Fraser JA, Sigford BJ, Date ES, Scott SG, Curtiss G, Salazar AM, Warden DL: Rehabilitation of traumatic brain injury in active duty military personnel and veterans: Defense and Veterans Brain Injury Center randomized controlled trial of two rehabilitation approaches. Arch Phys Med Rehabil 2008, 89: 2227-2238. 10.1016/j.apmr.2008.06.015View ArticlePubMedGoogle Scholar
- Sohlberg MM, Mateer CA: Cognitive Rehabilitation, an Integrative Neuropsychological Approach. New York: Guildford Press; 2001.Google Scholar
- Palmese CA, Raskin SA: The rehabilitation of attention in individuals with mild traumatic brain injury, using the APT-II programme. Brain Inj 2000, 14: 535-548. 10.1080/026990500120448View ArticlePubMedGoogle Scholar
- Sohlberg MM, Avery J, Kennedy M, Ylvisaker M, Coelho C, Turkstra L, Yorkston K: Practice guidelines for direct attention training. J Med Speech Lang Pathol 2003, 11: 19-39.Google Scholar
- Park NW, Ingles JL: Effectiveness of attention rehabilitation after an acquired brain injury: a meta-analysis. Neuropsychology 2001, 15: 199-210.View ArticlePubMedGoogle Scholar
- Michel JA, Mateer CA: Attentional rehabilitation following stroke and traumatic brain injury. A Review. Eura Medicophys 2006, 42: 59-67.PubMedGoogle Scholar
- Pero S, Incoccia C, Carricciolo B, Zoccolotti P, Formisano R: Rehabilitation of attention in two patients with traumatic brain injury by means of “Attention Process Training”. Brain Inj 2006, 20: 1207-1219. 10.1080/02699050600983271View ArticlePubMedGoogle Scholar
- Boman IL, Lindstedt M, Hemmingsson H, Bartfai A: Cognitive training in home environment. Brain Inj 2004, 18: 985-995. 10.1080/02699050410001672396View ArticlePubMedGoogle Scholar
- Sturm W, Fimm B, Cantagallo A, Cremel N, North P, North P, Passadori A, Pizzamiglio L, Pizzamiglio L, Rousseaux M, Zimmermann P, Deloche G, Leclercq M: Specific computerized attention training in stroke and traumatic brain-injured patients. Z Neuropsychol 2003, 14: 283-292. 10.1024/1016-264X.14.4.283View ArticleGoogle Scholar
- Galbiati S, Recla M, Pastore V, Liscio M, Bardoni A, Castelli E, Strazzer S: Attention remediation following traumatic brain injury in childhood and adolescence. Neuropsychology 2009, 23: 40-49.View ArticlePubMedGoogle Scholar
- Cappa SF, Benke T, Clarke S, Rossi B, Stemmer B, van Heugten CM: EFNS guidelines on cognitive rehabilitation: report of an EFNS task force. Eur J Neurol 2005, 12: 665-680.View ArticlePubMedGoogle Scholar
- Zoccolotti P, Cantagallo A, De Luca M, Guariglia C, Serino A, Trojano L: Selective and integrated rehabilitation programs for disturbances of visual/spatial attention and executive function after brain damage: a neuropsychological evidence-based review. Eur J Phys Rehabil Med 2011, 47: 123-147.PubMedGoogle Scholar
- Patton JL, Dawe G, Scharver C, Mussa-Ivaldi FA, Kenyon R: Robotics and virtual reality: a perfect marriage for motor control research and rehabilitation. Assist Technol 2006, 18: 181-195. 10.1080/10400435.2006.10131917View ArticlePubMedGoogle Scholar
- Skelton RW, Bukach CM, Laurance HE, Thomas KG, Jacobs JW: Humans with traumatic brain injuries show place-learning deficits in computer-generated virtual space. J Clin Exp Neuropsychol 2000, 22: 157-175. 10.1076/1380-3395(200004)22:2;1-1;FT157View ArticlePubMedGoogle Scholar
- Zhang L, Abreu BC, Seale GS, Masel B, Christiansen CH, Ottenbacher KJ: A virtual reality environment for evaluation of a daily living skill in brain injury rehabilitation: Reliability and validity. Am J Phys Med Rehabil 2003, 84: 1118-1124. 10.1016/S0003-9993(03)00203-XView ArticleGoogle Scholar
- Matheis RJ, Schultheis MT, Tiersky LA, DeLuca J, Millis SR, Rizzo AA: Is learning and memory different in a virtual environment? Clin Neuropsychol 2007, 21: 146-161. 10.1080/13854040601100668View ArticlePubMedGoogle Scholar
- Brewer BR, Klatzky R, Matsuoka Y: Visual feedback distortion in a robotic environment for hand rehabilitation. Brain Res Bull 2008, 75: 804-813. 10.1016/j.brainresbull.2008.01.006View ArticlePubMedGoogle Scholar
- Larson EB, Ramaiya M, Zollman FS, Pacini S, Hsu N, Patton JL, Dvorkin AY: Tolerance of a virtual reality intervention for attention remediation in persons with severe TBI. Brain Inj 2011, 25: 274-281. 10.3109/02699052.2010.551648View ArticlePubMedGoogle Scholar
- Weiss PL, Bialik P, Kizony R: Virtual reality provides leisure time opportunities for young adults with physical and intellectual disabilities. Cyberpsychol Behav 2003, 6: 335-342. 10.1089/109493103322011650View ArticlePubMedGoogle Scholar
- Rizzo A, Kim GJ: A SWOT analysis of the field of VR rehabilitation and therapy. Presence: Teleoperators and Virtual Environ 2005, 14: 119-146. 10.1162/1054746053967094View ArticleGoogle Scholar
- Thornton M, Marshall S, McComas J, Finestone H, McCormick A, Sveistrup H: Perceptions of benefits of virtual reality in rehabilitation by adults after traumatic brain injury. Brain Inj 2005, 19: 989-1000. 10.1080/02699050500109944View ArticlePubMedGoogle Scholar
- Gray R, Tan HZ: Dynamic and predictive links between touch and vision. Exp Brain Res 2002, 145: 50-55. 10.1007/s00221-002-1085-xView ArticlePubMedGoogle Scholar
- Spence C, Driver J: Crossmodal Space and Crossmodal Attention. Oxford, England: Oxford University Press; 2004.View ArticleGoogle Scholar
- Jones CM, Gray R, Spence C, Tan HZ: Directing visual attention with spatially informative and spatially noninformative tactile cues. Exp Brain Res 2008, 186: 659-669. 10.1007/s00221-008-1277-0View ArticlePubMedGoogle Scholar
- Huang FC, Gillespie RB, Kulo AD: Visual and haptic feedback contribute to tuning and online control during object manipulation. J Mot Behav 2007, 39: 179-193. 10.3200/JMBR.39.3.179-193View ArticlePubMedGoogle Scholar
- Bluteau J, Coquillart S, Payan Y, Gentaz E: Haptic guidance improves the visuo-manual tracking of trajectories. PLoS One 2008, 3: e1775. 10.1371/journal.pone.0001775PubMed CentralView ArticlePubMedGoogle Scholar
- Merlo JL, Duley AR, Hancock PA: Cross-modal congruency benefits for combined tactile and visual signaling. Am J Psychol 2010, 123: 413-424.View ArticlePubMedGoogle Scholar
- Hagen C, Malkmus D, Durham P: Levels of cognitive functioning. In Rehabilitation of the Head Injured Adult: Comprehensive Physical Management. Downey, CA: Professional Staff Association of Rancho Los Amigos Hospital, Inc; 1979:87-88.Google Scholar
- Dvorkin AY, Zollman FS, Beck K, Larson E, Patton JL: A virtual environment-based paradigm for improving attention in TBI. In Proceedings of the IEEE 11th International Conference on Rehabilitation Robotics (ICORR): 23–26 June 2009. Kyoto, Japan: IEEE, New York, NY; 2009:962-965.View ArticleGoogle Scholar
- Stickgold R: Sleep-dependent memory consolidation. Nat 2005, 437: 1272-1278. 10.1038/nature04286View ArticleGoogle Scholar
- Dvorkin AY, Kenyon RV, Keshner EA: Effects of roll visual motion on online control of arm movement: Reaching within a dynamic virtual environment. Exp Brain Res 2009, 193: 95-107. 10.1007/s00221-008-1598-zPubMed CentralView ArticlePubMedGoogle Scholar
- Plotnik M, Flash T, Inzelberg R, Schechtman E, Korczyn AD: Motor switching abilities in Parkinson’s disease and old age: temporal aspects. J Neurol Neurosurg Psychiatry 1998, 65: 328-337. 10.1136/jnnp.65.3.328PubMed CentralView ArticlePubMedGoogle Scholar
- Ariff G, Donchin O, Nanayakkara T, Shadmehr R: A real-time state predictor in motor control: study of saccadic eye movements during unseen reaching movements. J Neurosci 2002, 22: 7721-7729.PubMedGoogle Scholar
- Pittenger DJ: The two paradigms of persistence. Genet Soc Gen Psychol Monogr 2002, 128: 237-268.PubMedGoogle Scholar
- Potter GG, Blackwell AD, McQuoid DR, Payne ME, Steffense DC, Sahakian BJ, Welsh-Bohmer KA, Krishnan KRR: Prefrontal White Matter Lesions and Prefrontal Task Impersistence in Depressed and Nondepressed Elders. Neuropsychopharmacology 2007, 32: 2135-2142. 10.1038/sj.npp.1301339View ArticlePubMedGoogle Scholar
- Dvorkin AY, Pacini S, Hsu N, Larson EB: Treatment challenges with profound behaviour disturbance after traumatic brain injury: A case report. Brain Inj 2013, 27: 957-961. 10.3109/02699052.2013.793399View ArticlePubMedGoogle Scholar
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