FCC may predict the steepness of individual motor gains. Future training could therefore focus on directly inducing these beneficial increases in FC. Evaluation of the treatment groups suggests that MI is a potential facilitator of such neuroplasticity.

No abstract

Background Rehabilitation of hand function is challenging, and only few studies have investigated robot-assisted rehabilitation focusing on distal joints of the upper limb. This paper investigates the feasibility of using the HapticKnob , a table-top end-effector device, for robot-assisted rehabilitation of grasping and forearm pronation/supination, two important functions for activities of daily living involving the hand, and which are often impaired in chronic stroke patients. It evaluates the effectiveness of this device for improving hand function and the transfer of improvement to arm function. Methods A single group of fifteen chronic stroke patients with impaired arm and hand functions (Fugl-Meyer motor assessment scale (FM) 10-45/66) participated in a 6-week 3-hours/week rehabilitation program with the HapticKnob . Outcome measures consisted primarily of the FM and Motricity Index (MI) and their respective subsections related to distal and proximal arm function, and were assessed at the beginning, end of treatment and in a 6-weeks follow-up. Results Thirteen subjects successfully completed robot-assisted therapy, with significantly improved hand and arm motor functions, demonstrated by an average 3.00 points increase on the FM and 4.55 on the MI at the completion of the therapy (4.85 FM and 6.84 MI six weeks post-therapy). Improvements were observed both in distal and proximal components of the clinical scales at the completion of the study (2.00 FM wrist/hand, 2.55 FM shoulder/elbow, 2.23 MI hand and 4.23 MI shoulder/elbow). In addition, improvements in hand function were observed, as measured by the Motor Assessment Scale, grip force, and a decrease in arm muscle spasticity. These results were confirmed by motion data collected by the robot. Conclusions The results of this study show the feasibility of this robot-assisted therapy with patients presenting a large range of impairment levels. A significant homogeneous improvement in both hand and arm function was observed, which was maintained 6 weeks after end of the therapy.

Head and neck cancers are relatively uncommon malignancies and the characteristics of pain and functional impairments in survivors are not well studied. To characterize the incidence, location, severity, types and causes of pain; associated functional impairments, and pain management methods, the medical charts of 40 consecutive outpatients with biopsy-proven head and neck cancers were reviewed. Pain was severe in 52% (N = 21), and was located near sites of tumor origin. Pain was caused by tumor recurrence in 35% (N = 14), treatment sequelae in 30% (N = 12), multiple etiologies in 25% (N = 10), and unrelated causes in 10% (N = 4). Pains were mixed nociceptive and neuropathic pain in 37.5% (N = 15), nociceptive pain in 32.5% (N = 13), myofascial in 13.0% (N = 6), neuropathic in 7.5% (N = 3); and other mixed types in 7.5% (N = 3). Despite the high prevalence of dysphagia (82%), 60% used orally administered opioid-nonopioid analgesics. Physical disfigurement (87.5%; N = 35), dysphagia (62.5%, N = 25), and jaw dysfunction (40.0%; N = 16) were the most frequent physical impairments. Multiple regression analysis showed that the presence of skull base or mandibular bone involvement had significant influence on the severity of pain (P = 0.03, adjusted R2 0.25) We conclude that pain in head and neck cancer can be chronic, severe, and persistent despite completion of oncologic treatment.

Possible reasons for the negative finding in this study include the small sample size and the presence of causes of shoulder pain not related to spasticity which could have confounded outcome.