Determination of cut-off points in the Trunk control test for spinal cord injury to assess the ability to perform different activities of daily living.

STUDY DESIGN: Observational, comparative, and transversal study. OBJECTIVE: To identify the cut-off points in the Trunk Control Test (TCT) for individuals with Spinal Cord Injury (SCI) to determine the ability to perform independently the different activities of daily living (ADL) according to the Spinal Cord Independence Measure-III (SCIM-III). SETTING: National Institute of Rehabilitation, Mexico City. METHODS: Individuals with SCI of any neurologic level and severity according to ISNCSCI, in sub-acute and chronic phases were included. Receiver Operating Characteristic (ROC) curves were made to identify the cut-off points on the TCT that discriminate the individuals that can independently perform each of the ADL described in the SCIM-III. RESULTS: A total of 604 participants were evaluated, 70.7% male; mean age of 34 (± 14) years; time since injury was 134 ± 360 days; predominating motor complete injury (50.1%). It was demonstrated through ROC curves, that there are different cut-off points in the TCT that are sensitive and specific to discriminate individuals that can independently perform the majority of the items of the SCIM-III of those who perform it with assistance. Domains that do not depend on an adequate trunk control (respiration and sphincter management) had poor areas under the curve, with low sensitivity and specificity. CONCLUSIONS: The application of the TCT in individuals with SCI allows to discriminate between individuals who perform the different ADL independently of those who do not, at this subject institute. These results can guide the management of individuals with SCI, helping to establish short term goals.

Education Level Modulates the Presence of Poststroke Depression and Anxiety, But It Depends on Age.

ABSTRACT: Depression and anxiety are common complications after stroke and little is known about the modulatory roles of education and age. Our study aimed to evaluate the modulatory effects of education level on anxiety and depression after stroke and their effect on each age group. Adults with first stroke took part in this cross-sectional observational clinical study. We used the following instruments: Hospital Anxiety and Depression Scale (HADS), Montreal Cognitive Scale, Pittsburgh Sleep Quality Index, Barthel index, and Functional Independence Measure. There were 89 patients. The mean (SD) age was 58.01 (13) years, mean (SD) years of education was 9.91 (5.22), 55.1% presented depression symptoms and 47.2% anxiety symptoms, 56.2% were young adults and 43.8% were older adults. We identified a negative association between education and anxiety score ( r = -0. 269, p = 0.011) and depression score ( r = -0.252, p = 0.017). In the linear regression analysis, we found that education is negatively associated with HADS, but this influence was more consistent in young adults. In conclusion, a higher education level reduces the risk of depression and anxiety, but their effect is less consistent in older adults.

Alternative and complementary medicine in neurological disorders and neurological disability patients: Prevalence, factors, opinions and reasons.

OBJECTIVES: This cross-sectional study is aimed to investigate the prevalence of the use of complementary and alternative medicine (CAM), types of CAMs used, as well as reasons and factors found in patients with neurological diseases or neurological disability. METHODS: An anonymous, self-administered survey was designed to collect information about demographics, personal medical history, CAM usage habits, and different opinions about CAM vs. conventional medicine (CM). The survey was applied by non-medical personnel in a rehabilitation hospital to patients older than 18 years, with a confirmed diagnosis of neurological disorder or neurological disability. RESULTS: 453 patients were included, 59.7 % were female. Mean age: 49 years (SD: 18.2). 200 patients (44.2 %) had a history of chronic diseases. Depression was found in 139 patients (30.7 %). Neurological disorders were: peripheral neuropathy: 97 (21.4 %), headache or migraine: 78 (17.2 %), neurodegenerative diseases: 69 (15.2 %) and stroke: 58 (12.8 %). 60.2 % (n = 273) had some degree of disability. Prevalence of CAM use was 36 % (n = 163). Most common CAMs were: Biological therapies: 133 (71.1 %), energy-based therapies: 63 (33.7 %) and body manipulation therapies: 51 (27.3 %). Reasons to use CAM were: "to complement the pharmacological treatment" (45 = 27.6 %), and "treatment failure with CM" (43 = 26.4 %). Finally, older age (p = 0.0280) and having a chronic disease (p = 0.0229) or depression (p < 0.001) were the factors associated with the current use of CAM. CONCLUSION: One third of patients with neurological pathologies use CAM, the most popular type of CAM is biologic therapies. As in other pathologies, CAM use was associated with older age, history of depression, and chronic diseases. Therefore, it is suggested that physicians routinely ask patients about the use of CAM, if they need more information about CAM, and even verify the possibility of drug interactions or adverse effects.

Brain-Computer Interface Coupled to a Robotic Hand Orthosis for Stroke Patients' Neurorehabilitation: A Crossover Feasibility Study.

Brain-Computer Interfaces (BCI) coupled to robotic assistive devices have shown promise for the rehabilitation of stroke patients. However, little has been reported that compares the clinical and physiological effects of a BCI intervention for upper limb stroke rehabilitation with those of conventional therapy. This study assesses the feasibility of an intervention with a BCI based on electroencephalography (EEG) coupled to a robotic hand orthosis for upper limb stroke rehabilitation and compares its outcomes to conventional therapy. Seven subacute and three chronic stroke patients (M = 59.9 ± 12.8) with severe upper limb impairment were recruited in a crossover feasibility study to receive 1 month of BCI therapy and 1 month of conventional therapy in random order. The outcome measures were comprised of: Fugl-Meyer Assessment of the Upper Extremity (FMA-UE), Action Research Arm Test (ARAT), motor evoked potentials elicited by transcranial magnetic stimulation (TMS), hand dynamometry, and EEG. Additionally, BCI performance and user experience were measured. All measurements were acquired before and after each intervention. FMA-UE and ARAT after BCI (23.1 ± 16; 8.4 ± 10) and after conventional therapy (21.9 ± 15; 8.7 ± 11) were significantly higher (p < 0.017) compared to baseline (17.5 ± 15; 4.3 ± 6) but were similar between therapies (p > 0.017). Via TMS, corticospinal tract integrity could be assessed in the affected hemisphere of three patients at baseline, in five after BCI, and four after conventional therapy. While no significant difference (p > 0.05) was found in patients' affected hand strength, it was higher after the BCI therapy. EEG cortical activations were significantly higher over motor and non-motor regions after both therapies (p < 0.017). System performance increased across BCI sessions, from 54 (50, 70%) to 72% (56, 83%). Patients reported moderate mental workloads and excellent usability with the BCI. Outcome measurements implied that a BCI intervention using a robotic hand orthosis as feedback has the potential to elicit neuroplasticity-related mechanisms, similar to those observed during conventional therapy, even in a group of severely impaired stroke patients. Therefore, the proposed BCI system could be a suitable therapy option and will be further assessed in clinical trials.

Prognosis of stroke upper limb recovery with physiological variables using regression tree ensembles.

Objective.This study assesses upper limb recovery prognosis after stroke with solely physiological information, which can provide an objective estimation of recovery.Approach.Clinical recovery was forecasted using EEG-derived Event-Related Desynchronization/Synchronization and coherence, in addition to Transcranial Magnetic Stimulation elicited motor-evoked potentials and upper limb grip and pinch strength. A Regression Tree Ensemble predicted clinical recovery of a stroke database (n= 10) measured after a two-month intervention with the Fugl-Meyer Assessment for the Upper Extremity (FMA-UE) and the Action Research Arm Test (ARAT).Main results.There were no significant differences between predicted and actual outcomes with FMA-UE (p= 0.29) and ARAT (p= 0.5). Median prediction error for FMA-UE and ARAT were of 0.3 (IQR = 6.2) and 3.4 (IQR = 9.4) points, respectively. Predictions with the most pronounced errors were due to an underestimation of high upper limb recovery. The best features for FMA-UE prediction included mostly beta activity over the sensorimotor cortex. Best ARAT prediction features were cortical beta activity, corticospinal tract integrity of the unaffected hemisphere, and upper limb strength.Significance.Results highlighted the importance of measuring cortical activity related to motor control processes, the unaffected hemisphere's integrity, and upper limb strength for prognosis. It was also implied that stroke upper limb recovery prediction is feasible using solely physiological variables with a Regression Tree Ensemble, which can also be used to analyze physiological relationships with recovery.

Longitudinal Analysis of Stroke Patients' Brain Rhythms during an Intervention with a Brain-Computer Interface.

Stroke is a leading cause of motor disability worldwide. Upper limb rehabilitation is particularly challenging since approximately 35% of patients recover significant hand function after 6 months of the stroke's onset. Therefore, new therapies, especially those based on brain-computer interfaces (BCI) and robotic assistive devices, are currently under research. Electroencephalography (EEG) acquired brain rhythms in alpha and beta bands, during motor tasks, such as motor imagery/intention (MI), could provide insight of motor-related neural plasticity occurring during a BCI intervention. Hence, a longitudinal analysis of subacute stroke patients' brain rhythms during a BCI coupled to robotic device intervention was performed in this study. Data of 9 stroke patients were acquired across 12 sessions of the BCI intervention. Alpha and beta event-related desynchronization/synchronization (ERD/ERS) trends across sessions and their association with time since stroke onset and clinical upper extremity recovery were analyzed, using correlation and linear stepwise regression, respectively. More EEG channels presented significant ERD/ERS trends across sessions related with time since stroke onset, in beta, compared to alpha. Linear models implied a moderate relationship between alpha rhythms in frontal, temporal, and parietal areas with upper limb motor recovery and suggested a strong association between beta activity in frontal, central, and parietal regions with upper limb motor recovery. Higher association of beta with both time since stroke onset and upper limb motor recovery could be explained by beta relation with closed-loop communication between the sensorimotor cortex and the paralyzed upper limb, and alpha being probably more associated with motor learning mechanisms. The association between upper limb motor recovery and beta activations reinforces the hypothesis that broader regions of the cortex activate during movement tasks as a compensatory mechanism in stroke patients with severe motor impairment. Therefore, EEG across BCI interventions could provide valuable information for prognosis and BCI cortical activity targets.

Pharmacological Stimulation of Neuronal Plasticity in Acquired Brain Injury.

INTRODUCTION: Brain injuries are one of the leading causes of disability worldwide. It is estimated that nearly half of patients who develop severe sequelae will continue with a chronic severe disability despite having received an appropriate rehabilitation program. For more than 3 decades, there has been a worldwide effort to investigate the possibility of pharmacologically stimulating the neuroplasticity process for enhancing the recovery of these patients. OBJECTIVE: The objective of this article is to make a critical and updated review of the available evidence that supports the positive effect of different drugs on the recovery from brain injury. METHOD: To date, there have been several clinical trials that tested different drugs that act on different neurotransmitter systems: catecholaminergic, cholinergic, serotonergic, and glutamatergic. There is both basic and clinical evidence that may support some positive effect of these drugs on motor, cognitive, and language skills; however, only few of the available studies are of sufficient methodological quality (placebo controlled, randomized, blinded, multicenter, etc) to make solid conclusions about their beneficial effects. CONCLUSIONS: Currently, the pharmacological stimulation of neuroplasticity still does not have enough scientific evidence to make a systematic therapeutic recommendation for all patients, but it certainly is a feasible and very promising field for future research.