$$\rightleftharpoonup{xx}$$
$$\longleftharp{xx}$$,
$$\longrightharp{xx}$$,
Neurological disorders such as stroke, cerebral palsy, and traumatic brain injury are leading causes of long-term disability, due to lesions and subsequent neurologic symptoms that can lead to severe incapacity and restriction of daily activities1. Movement disorders significantly reduce a patient's quality of life. Motor recovery is fundamentally driven by neuroplasticity, the basic mechanism underlying the reacquisition of motor skills lost due to brain lesions2,3. Thus, rehabilitation therapies are strongly based on high-dose intensive training and intense repetition of movements to recover strength and range of motion. These repetitive activities are based on daily life movements, and patients may become less motivated due to the slow motor recovery and repetitive exercises, which can impair the success of neurorehabilitation4. Intensive physical and occupational therapy are still considered main treatments, but newer adjunct therapies to standard rehabilitation are being studied to optimize functional outcomes1.
The advent of robotic-assisted therapies has been shown to have great value in stroke rehabilitation, influencing processes of neuronal synaptic plasticity and reorganization. They have been investigated for the training of patients with damaged neurological functions and assisting people with disabilities5. One of the most important advantages of adding robot technology to rehabilitive interventions is its ability to deliver high-intensity and high-dosage training, which otherwise would be a very labor-intensive process6. The use of robotic therapies, along with virtual reality computer programs, allows for an immediate perception and evaluation of motor recovery and can change repetitive actions into meaningful, interactive functional tasks such as cleaning a stovetop7. This can elevate patients' motivation and adherence to the long rehabilitation process and allows, through the possibility of measuring and quantifying movements, tracking of their progress5. Integration of robotic therapy into current practices may increase the efficacy and effectiveness of rehabilitation and enable the development of novel modes of exercise8.
Therapeutic rehabilitation robots provide task-specific training and can be divided into end-effector-type devices and exoskeleton-type devices9. The difference between these classifications is related to how movement is transferred from the device to the patient. End-effector devices have simpler structures, contacting the patient's limb only at its most distal part, making it more difficult to isolate movement of one joint. Exoskeleton-based devices have more complex designs with a mechanical structure that mirrors the skeletal structure of the limb, so a movement of the device's joint will produce the same movement on the patient's limb7,9.
The T-WREX is an exoskeleton-based robot that assists whole arm movements (shoulder, elbow, forearm, wrist, and finger movements). The adjustable mechanical arm allows variable levels of gravity support, enabling patients who have some residual upper limb function to achieve a larger active range of motion in a tridimensional spatial therapy7,9. The MIT-MANUS is an end-effector-type robot that works in a single plan (x- and y-axis) and allows a two-dimensional gravity compensated therapy, assisting shoulder and elbow movements by moving the patient's hand in the horizontal or vertical plane9,10. Both robots have built-in position sensors that can quantify upper extremity motor control and recovery and an interface for computer integration that allows 1) the training of meaningful functional tasks simulated in a virtual learning environment and 2) therapeutic exercise games, which help the practice of motor planning, eye-hand coordination, attention, and visual field defects or neglects7,9. They also allow for the compensation of gravity effects on the upper limb and are capable of offering support and assistance to repetitive and stereotyped movements in severely impaired patients. This progressively reduces assistance as the subject improves and applies minimal assistance or resistance to movement for mildly impaired patients9,11.
Another new technique for neurorehabilitation is transcranial direct current stimulation (tDCS). tDCS is a non-invasive brain stimulation technique that induces cortical excitability changes through the use of low amplitude direct currents applied via scalp electrodes12,13. Depending on the polarity of the current flow, brain excitability can be increased by anodal stimulation or decreased by cathodal stimulation2.
Recently, there has been increased interest in tDCS, as it has been shown to have beneficial effects on a wide range of diseases such as stroke, epilepsy, Parkinson's disease, Alzheimer's disease, fibromyalgia, psychiatric disorders such as depression, affective disorders, and schizophrenia2. tDCS has some advantages, such as its relatively low cost, ease of use, safety, and rare side effects14. tDCS is also a painless method and can be reliably blinded in clinical trials, as it has a sham mode13. tDCS is likely not optimal for functional recovery on its own; however, it is showing increased promise as an associated therapy in rehabilitation, as it enhances brain plasticity15.
In this protocol, we demonstrate combined robot-assisted therapy (with two state-of-the-art robots) and non-invasive neuromodulation with tDCS as a method for improving rehabilitation outcomes, in addition to conventional physical therapy. Most studies involving robotic therapies or tDCS have used them as isolated techniques, and few have combined both, which may enhance the beneficial effects beyond each intervention alone. These smaller trials demonstrated a possible synergistic effect between the two procedures, with improved motor recovery and functional ability8,15,16,17,18,19. Therefore, novel multi-modal therapies may enhance movement recovery beyond the current possibilities.