Objective. The aim of this exploratory pilot study is to test the effects of bilateral tDCS combined with upper extremity robot-assisted therapy (RAT) on stroke survivors.Methods. We enrolled 23 subjects who were allocated to 2 groups: RAT + real tDCS and RAT + sham-tDCS. Each patient underwent 10 sessions (5 sessions/week) over two weeks. Outcome measures were collected before and after treatment: (i) Fugl-Meyer Assessment-Upper Extremity (FMA-UE), (ii) Box and Block Test (BBT), and (iii) Motor Activity Log (MAL).Results. Both groups reported a significant improvement in FMA-UE score after treatment (p<0.01). No significant between-groups differences were found in motor function. However, when the analysis was adjusted for stroke type and duration, a significant interaction effect (p<0.05) was detected, showing that stroke duration (acute versus chronic) and type (cortical versus subcortical) modify the effect of tDCS and robotics on motor function. Patients with chronic and subcortical stroke benefited more from the treatments than patients with acute and cortical stroke, who presented very small changes.Conclusion. The additional use of bilateral tDCS to RAT seems to have a significant beneficial effect depending on the duration and type of stroke. These results should be verified by additional confirmatory studies.

Objective: To test the efficacy of transcranial direct current stimulation (tDCS) in addition to group exercise on non-specific chronic low back pain. Design: Double-blinded randomized control trial. Subjects: Patients with non-specific chronic low back pain. Methods: A total of 35 subjects were recruited and allocated to real- or sham-tDCS followed by a group exercise protocol. Each patient underwent five sessions of brain stimulation followed by 10 sessions of group exercise. Subjects were evaluated before and after tDCS, after group exercise and one month after the combined treatment. Outcome measures were Visual Analog Scale for pain intensity, Roland Morris Disability Questionnaire, EuroQuol-5 Dimension and Patient Health Questionnaire-9. Results: Significant between-group difference in pain intensity (−27.7 ± 30.4 mm in real-tDCS group compared to −2.2 ± 30.1 mm in sham-tDCS group) and Patient Health Questionnaire-9 (−4.9 ± 4.2 in real-tDCS group compared to −1.1 ± 2.7 in sham-tDCS group) was found one month after the combined treatment ( P < 0.05). Conclusion: Our results showed that real-tDCS can induce significant larger effects on pain and psychological well-being, compared to sham-tDCS, when it is associated with a group exercise program. The effects were observed mostly in the follow-up.

Gait and mobility impairments are common in progressive multiple sclerosis (MS), leading to reduced quality of life (QoL). In this randomized controlled study, we tested the effects of robot-assisted gait training (RAGT) and compared it to conventional physiotherapy, measuring walking ability, depression, fatigue, and QoL in patients with progressive MS and severe gait disability. Fifty-two participants (Expanded Disability Status Scale score 6–7) completed the study protocol. They received two sessions/week over 6 weeks of RAGT or conventional walking therapy. Outcome measures were Six-Minute Walk Test, Ten-Meter Walk Test, Timed Up and Go Test, Berg Balance Scale, Fatigue Severity Scale, Patient Health Questionnaire, and Short Form 36. They were performed pre-treatment, post-treatment, and at 3 months. Walking endurance (p < 0.01) and balance (p < 0.01) were improved among those in the RAGT group. Positive effects on depression in both treatment groups were highlighted. However, only among those in the RAGT group was perceived physical functioning QoL increased. No significant effects on fatigue were found. RAGT is a treatment option in progressive MS patients with severe gait impairments to induce short-lasting effects on mobility and QoL.

Current clinical practice does not leverage electroencephalography (EEG) measurements in stroke patients, despite its potential to contribute to post-stroke recovery predictions. We review the literature on the effectiveness of various quantitative and qualitative EEG-based measures after stroke as a tool to predict upper limb motor outcome, in relation to stroke timeframe and applied experimental tasks. Moreover, we aim to provide guidance on the use of EEG in the assessment of upper limb motor recovery after stroke, suggesting a high potential for some metrics in the appropriate context. We identified relevant papers (N = 16) from databases ScienceDirect, Web of Science and MEDLINE, and assessed their methodological quality with the Joanna Briggs Institute (JBI) Critical Appraisal. We applied the Preferred Reporting Systems for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) Framework. Identified works used EEG to identify properties including event-related activation, spectral power in physiologically relevant bands, symmetry in brain dynamics, functional connectivity, cortico-muscular coherence and rhythmic coordination. EEG was acquired in resting state or in relation to behavioural conditions. Motor outcome was mainly evaluated with the Upper Limb Fugl-Meyer Assessment. Despite great variability in the literature, data suggests that the most promising EEG quantifiers for predicting post-stroke motor outcome are event-related measures. Measures of spectral power in physiologically relevant bands and measures of brain symmetry also show promise. We suggest that EEG measures may improve our understanding of stroke brain dynamics during recovery, and contribute to establishing a functional prognosis and choosing the rehabilitation approach.

The aim of this study was to evaluate the safety, feasibility and preliminary effects of a high-intensity rehabilitative task-oriented circuit training (TOCT) in a sample of multiple sclerosis (MS) subjects on walking competency, mobility, fatigue and health-related quality of life (HRQoL).