Discrimination of Motor Imagery-Induced EEG Patterns in Patients with Complete Spinal Cord Injury

EEG-based discrimination between different motor imagery states has been subject of a number of studies in healthy subjects. We investigated the EEG of 15 patients with complete spinal cord injury during imagined right hand, left hand, and feet movements. In detail we studied pair-wise discrimination functions between the 3 types of motor imagery. The following classification accuracies (mean ± SD) were obtained: left versus right hand 65.03% ± 8.52, left hand versus feet 68.19% ± 11.08, and right hand versus feet 65.05% ± 9.25. In 5 out of 8 paralegic patients, the discrimination accuracy was greater than 70% but in only 1 out of 7 tetraplagic patients. The present findings provide evidence that in the majority of paraplegic patients an EEG-based BCI could achieve satisfied results. In tetraplegic patients, however, it is expected that extensive training-sessions are necessary to achieve a good BCI performance at least in some subjects

Impact of small vessel disease in the brain on gait and balance

Gait and balance impairment is highly prevalent in older people. We aimed to assess whether and how single markers of small vessel disease (SVD) or a combination thereof explain gait and balance function in the elderly. We analysed 678 community-dwelling healthy subjects from the Lothian Birth Cohort 1936 at the age of 71–74 years who had undergone comprehensive risk factor assessment, gait and balance assessment as well as brain MRI. We investigated the impact of individual SVD markers (white matter hyperintensity – WMH, microbleeds, lacunes, enlarged perivascular spaces, brain atrophy) as seen on structural brain MRI and of a global SVD score on the patients’ performance. A regression model revealed that age, sex, and hypertension significantly explained gait speed. Among SVD markers white matter hyperintensity (WMH) score or volume were additional significant and independent predictors of gait speed in the regression model. A similar association was seen with the global SVD score. Our study confirms a negative impact of SVD-related morphologic brain changes on gait speed in addition to age, sex and hypertension independent from brain atrophy. The presence of WMH seems to be the major driving force for SVD on gait impairment in healthy elderly subjects

Aging associated changes in the motor control of ankle movements in the brain.

Although age-related gait changes have been well characterized, little is known regarding potential functional changes in central motor control of distal lower limb movements with age. We hypothesized that there are age-related changes in brain activity associated with the control of repetitive ankle movements, an element of gait feasible for study with functional magnetic resonance imaging. We analyzed standardized functional magnetic resonance imaging data from 102 right-foot dominant healthy participants aged 20-83 years for age-associated effects using FSL and a meta-analysis using coordinate-based activation likelihood estimation. For the first time, we have confirmed age-related changes in brain activity with this gait-related movement of the lower limb in a large population. Increasing age correlated strongly with increased movement-associated activity in the cerebellum and precuneus. Given that task performance did not vary with age, we interpret these changes as potentially compensatory for other age-related changes in the sensorimotor network responsible for control of limb function

Aging associated changes in the motor control of ankle movements in the brain

Although age-related gait changes have been well characterized, little is known regarding potential functional changes in central motor control of distal lower limb movements with age. We hypothesized that there are age-related changes in brain activity associated with the control of repetitive ankle movements, an element of gait feasible for study with functional magnetic resonance imaging. We analyzed standardized functional magnetic resonance imaging data from 102 right-foot dominant healthy participants aged 20-83years for age-associated effects using FSL and a meta-analysis using coordinate-based activation likelihood estimation. For the first time, we have confirmed age-related changes in brain activity with this gait-related movement of the lower limb in a large population. Increasing age correlated strongly with increased movement-associated activity in the cerebellum and precuneus. Given that task performance did not vary with age, we interpret these changes as potentially compensatory for other age-related changes in the sensorimotor network responsible for control of limb function. © 2014 Elsevier Inc

Differences and similarities in the evolution of morphologic brain abnormalities between paediatric and adult-onset multiple sclerosis

BACKGROUND: Paediatric-onset multiple sclerosis (pMS) is multiple sclerosis (MS) occurring before the age of 18 years and may present and develop differently from adult-onset MS (aMS). Whether there are also differences regarding the accrual of brain changes is largely unknown. METHODS: We compared the evolution of the T2- and T1-lesion load (LL), the black hole ratio (BHR), and annualised brain volume change (aBVC) between 21 pMS patients (age at onset: 14.4±2.3 years) and 21 aMS patients (age at onset: 29.4±6.5 years) matched for disease duration (pMS: 1.0±1.8 years; aMS: 1.6±1.7 years, p=0.27). Follow-up was for 4.2±3.7 years in pMS and 3.1±0.6 years in aMS. Clinical comparisons included the course of disability assessed with the Expanded Disability Status Scale (EDSS) score and annualised relapse rate (ARR). RESULTS: At baseline, pMS and aMS had similar EDSS, T1-LL, BHR, whereas T2-LL was higher in aMS (aMS: 9.2±11.6 ccm; pMS: 4.1±6.2 ccm, p=0.02). The change of T2-LL and T1-LL during the observation period was similar in both groups. At follow-up, disability was lower in pMS (EDSS score in pMS: 0.9±0.9; aMS: 1.7±1.3, p=0.04), despite a significantly higher accrual of destructive brain lesions (BHR in pMS: 23.7±23.7%; aMS: 5.9±4.0%, p=0.02) and a similar rate of brain volume loss. CONCLUSION: Our observation of a morphologically more aggressive disease evolution paralleled by less disability in pMS than in aMS (defined using EDSS) suggests a higher compensatory capacity in pMS. This fact may obscure the need for treatment of pMS patients with disease modifying treatments (DMTs) based solely on clinical observation