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Background Cognitive and behavioural symptoms due to involvement of the central nervous system (CNS) are among the main clinical manifestations of Myotonic Dystrophy type 1 (DM1). Such symptoms affect patients’ quality of life and disease awareness, impacting on disease prognosis by reducing compliance to medical treatments. Therefore, CNS is a key therapeutic target in DM1. Deeper knowledge of DM1 pathogenesis is prompting development of potential disease-modifying therapies: as DM1 is a rare, multisystem and slowly progressive disease, there is need of sensitive, tissue-specific prognostic and monitoring biomarkers in view of forthcoming clinical trials. Circulating Neurofilament light chain (NfL) levels have been recognized as a sensitive prognostic and monitoring biomarker of neuroaxonal damage in various CNS disorders. Methods We performed a cross-sectional study in a cohort of 40 adult DM1 patients, testing if serum NfL might be a potential biomarker of CNS involvement also in DM1. Moreover, we collected cognitive data, brain MRI, and other DM1-related diagnostic findings for correlation studies. Results Mean serum NfL levels resulted significantly higher in DM1 (25.32 ± 28.12 pg/ml) vs 22 age-matched healthy controls (6.235 ± 0.4809 pg/ml). Their levels positively correlated with age, and with one cognitive test (Rey’s Auditory Verbal learning task). No correlations were found either with other cognitive data, or diagnostic parameters in the DM1 cohort. Conclusions Our findings support serum NfL as a potential biomarker of CNS damage in DM1, which deserves further evaluation on larger cross-sectional and longitudinal studies to test its ability in assessing brain disease severity and/or progression.

Actigraphy is a tool used to describe limb motor activity. Some actigraphic parameters, namely Motor Activity (MA) and Asymmetry Index (AR), correlate with stroke severity. However, a long-lasting actigraphic monitoring was never performed previously. We hypothesized that MA and AR can describe different clinical conditions during the evolution of the acute phase of stroke. We conducted a multicenter study and enrolled 69 stroke patients. NIHSS was assessed every hour and upper limbs’ motor activity was continuously recorded. We calculated MA and AR in the first hour after admission, after a significant clinical change (NIHSS ± 4) or at discharge. In a control group of 17 subjects, we calculated MA and AR normative values. We defined the best model to predict clinical status with multiple linear regression and identified actigraphic cut-off values to discriminate minor from major stroke (NIHSS ≥ 5) and NIHSS 5–9 from NIHSS ≥ 10. The AR cut-off value to discriminate between minor and major stroke (namely NIHSS ≥ 5) is 27% (sensitivity = 83%, specificity = 76% (AUC 0.86 p < 0.001), PPV = 89%, NPV = 42%). However, the combination of AR and MA of the non-paretic arm is the best model to predict NIHSS score (R2: 0.482, F: 54.13), discriminating minor from major stroke (sensitivity = 89%, specificity = 82%, PPV = 92%, NPV = 75%). The AR cut-off value of 53% identifies very severe stroke patients (NIHSS ≥ 10) (sensitivity = 82%, specificity = 74% (AUC 0.86 p < 0.001), PPV = 73%, NPV = 82%). Actigraphic parameters can reliably describe the overall severity of stroke patients with motor symptoms, supporting the addition of a wearable actigraphic system to the multi-parametric monitoring in stroke units.

The use of quantitative methods to analyze the loss in gait smoothness, an increase in movement intermittency which is a distinguishing hallmark of motor deficits in stroke patients, has gained considerable attention in recent years. In the literature, the spectral arc length (SPARC), as well as metrics based on the measurement of the jerk, such as the log dimensionless jerk (LDLJ), are currently employed to assess smoothness. However, the optimal measure for evaluating the smoothness of walking in stroke patients remains unknown. Here, we investigated the smoothness of the body’s center of mass (BCoM) trajectory during gait, using an optoelectronic system, in twenty-two subacute and eight chronic patients before and after a two-month rehabilitation program. The two measures were evaluated for their discriminant validity (ability to differentiate the smoothness of the BCoM trajectory calculated on the cycle of the affected and unaffected limb, and between subacute and chronic patients), validity (correlation with clinical scales), and responsiveness to the intervention. According to our findings, the LDLJ outperformed the SPARC in terms of the examined qualities. Based on data gathered using an optoelectronic system, we recommend using the LDLJ rather than the SPARC to investigate the gait smoothness of stroke patients.

Recently, the use of robotic technology in gait and balance rehabilitation of stroke patients has been introduced, with positive results. The purpose of this study was to evaluate the effectiveness of robotic gait and trunk rehabilitation compared to robotic gait training alone on balance, activities, and participation measures in patients with subacute stroke. The study was a randomized, controlled, single blind, parallel group clinical trial. Thirty-six patients with first ischemic or hemorrhagic stroke event were enrolled, and they were randomized in two groups: Gait Group (GG), where they received only robotic treatment for gait rehabilitation through an end-effector system, and Gait/Trunk Group (GTG) where they performed end-effector gait rehabilitation and balance with a robotic platform, 3 times/week for 12 sessions/month. At the end of the study, there was an improvement in balance ability in both groups. Instead, the lower limb muscle strength and muscle tone significantly improved only in the GTG group, where we found a significant reduction in the trunk oscillations and displacement during dynamic exercises more than the GG group. The robotic platform which was added to the gait robotic treatment offers more intense and controlled training of the trunk that positively influences the tone and strength of lower limb muscles.

Intensive-Care-Unit-Acquired Weakness (ICU-AW) is the most common neuromuscular impairment in critically ill patients and can have a significant impact on long-term disability. Early rehabilitation has been suggested to facilitate the natural recovery process. This is a pilot, randomized, single-blind study that aimed to evaluate the effectiveness of intensive combined technological rehabilitation treatment including focal muscle vibration and non-immersive virtual reality for patients with severe acquired brain injury (sABI) and ICU-AW. Twenty-four patients were randomized into the conventional group, which performed only conventional rehabilitation, and the experimental group, which also performed technological treatment. At baseline and after 3 weeks of treatment, assessments of motor function, autonomy, disability and quality of life were conducted. At the end of the intervention, both groups showed significant improvements. However, patients in the experimental group achieved greater improvements in disability (p = 0.001) and quality of life (p = 0.001). The results show that intensive structured rehabilitation is effective in improving the motor function, disability and quality of life of patients with severe acquired brain injury and acquired weakness. The combination of non-immersive virtual reality training and focal muscle vibration can result in a significant improvement in overall disability and quality of life compared with conventional treatment alone.

Multiple Sclerosis (MS) is a disease that often results in motor and/or cognitive disability. Despite the increasing availability of effective drug therapies, rehabilitation is very important means of counteracting the progression of disability and improving physical function, impacting social participation and improving quality of life. Several rehabilitation approaches can be used in the context of neuro-motor rehabilitation, but there is insufficient evidence for them in the literature.This study has the twofold purpose of: (i) investigate whether rehabilitation according to Bobath Concept can improve balance and some aspects of cognitive function in MS patients; (ii) explore whether the ability to improve postural control, an indirect index of adaptive neuroplasticity, is preserved in MS patients and whether it can be improved with rehabilitation.This is an independent wait-listed study. Forty people with MS (pwMS) were enrolled: patients in the Bobath group underwent 8 weeks of rehabilitation according to the Bobath Concept. For aim 1, pwMS were assessed at baseline (T0), at the end of the 8 weeks of treatment (T1) and after 8 weeks of observation (T2) with motor and cognitive scales. For aim 2, the same 40 pwMS were matched with healthy controls and were subjected to a postural learning task using the force platform at T0, T1 and T2.Patients in Bobath group scored better on balance and cognitive function at T1, but this improvement was not maintained at T2. All patients were less accurate than controls in the postural learning task at each assessment; however, patients also demonstrated an increase in accuracy after training, similar to that of healthy controls. The learning curve was better for patients randomized to the active group than the waitlist at T1 time, but this advantage was not maintained at the T2 assessment.In light of the results, this study supports the use of rehabilitation according to Bobath Concept to improve balance control and some executive functions in MS. Despite worse baseline performance, pwMS were able to learn a postural control task on par with healthy controls. Also, supports the hypothesis that adaptive plasticity is preserved despite MS and can be promoted by rehabilitation.

Background Stroke units provide patients with a multiparametric monitoring of vital functions, while no instruments are actually available for a continuous monitoring of patients motor performance. Our aim was to develop an actigraphic index able both to identify the paretic limb and continuously monitor the motor performance of stroke patients in the stroke unit environment. Methods Twenty consecutive acute stroke patients (mean age 69.2 years SD 10.1, 8 males and 12 females) and 17 bed-restrained patients (mean age 70.5 years SD 7.3, 7 males and 10 females) hospitalized for orthopedic diseases of the lower limbs, but not experiencing neurological symptoms, were enrolled. This last group represented our control group. The motor activity of arms was recorded for 24 h using two programmable actigraphic systems showing off as wrist-worn watches. The firmware segmented the acquisition in epochs of 1 minute and for each epoch calculates two motor activity indices: MAe1 (Epoch-related Motor Activity index) and MAe2 (Epoch-related Motor Activity index 2). MAe1 is defined as the standard deviation of the acceleration module and MAe2 as the module of the standard deviation of acceleration components. To describe the 24 h motor performance of each limb, we calculated the mean value of MAe1 and MAe2 (respectively MA1_24h and MA2_24h). Then we obtained two Asymmetry Rate Indices: AR1_24h and AR2_24h to show the motor activity prevalence. AR1_24h refers to the asymmetry index between the values of MAe1 of both arms and AR2_24h to MAe2 values. The stroke patients were clinically evaluated by NIHSS at the beginning (NIHSST0) and at the end (NIHSST1) of the 24 h actigraphic recordings. Results Both MA1_24h and MA2_24h indices were smaller in the paretic than in the unaffected arm (respectively p = 0.004 and p = 0.004). AR2_24h showed a better capability (95% of paretic arms correctly identified, Phi Coefficient: 0.903) to discriminate the laterality of the clinical deficit than AR1_24h (85% of paretic arms correctly identified, Phi Coefficient: 0,698). We also found that AR1_24h did not differ between the two groups of patients while AR2_24h was greater in stroke patients than in controls and positively correlated with NIHSS total scores (r: 0.714, p p Conclusions Our data show that actigraphic monitoring of upper limbs can detect the laterality of the motor deficit and measure the clinical severity. These findings suggest that the above described actigraphic system could implement the existing multiparametric monitoring in stroke units.

Background: It is often challenging to formulate a reliable prognosis for patients with acute ischemic stroke. The most accepted prognostic factors may not be sufficient to predict the recovery process. In this view, describing the evolution of motor deficits over time via sensors might be useful for strengthening the prognostic model. Our aim was to assess whether an actigraphic-based parameter (Asymmetry Rate Index for the 24 h period (AR2_24 h)) obtained in the acute stroke phase could be a predictor of a 90 d prognosis. Methods: In this observational study, we recorded and analyzed the 24 h upper limb movement asymmetry of 20 consecutive patients with acute ischemic stroke during their stay in a stroke unit. We recorded the motor activity of both arms using two programmable actigraphic systems positioned on patients’ wrists. We clinically evaluated the stroke patients by NIHSS in the acute phase and then assessed them across 90 days using the modified Rankin Scale (mRS). Results: We found that the AR2_24 h parameter positively correlates with the 90 d mRS (r = 0.69, p &lt, 0.001). Moreover, we found that an AR2_24 h &gt, 32% predicts a poorer outcome (90 d mRS &gt, 2), with sensitivity = 100% and specificity = 89%. Conclusions: Sensor-based parameters might provide useful information for predicting ischemic stroke prognosis in the acute phase.

Rhythmic auditory stimuli (RAS) improve the disabling motor symptom of Parkinson’s disease patients. In the large majority of studies, the effect of RAS has been assessed during common activities such as walking and turning. However, how RAS modulates parkinsonian behaviors in more challenging settings of daily living and whether a machine learning algorithm could classify them remains unclear. Eleven patients with idiopathic PD (age 72±7 years) were asked to walk under four conditions: straight walking, walking over an irregular surface, walking within a narrow pathway, and walking along a curving path (eight-shaped), with and without external stimulation. RAS pace was set at 110% of the normal cadence and spatio-temporal gait parameters were measured through two inertial measurement units placed on feet. k-Nearest Neighbor (k-NN) algorithm, with and without principal component analysis (PCA) as feature selector, was used for the classification of walking conditions. Cadence, gait speed, and gait time improved during RAS walking, regardless of challenging walking conditions. On the contrary, stride length increased only in straight walking, while gait speed showed improvement also in walking over an irregular surface and walking within narrow pathway conditions. k-NN algorithm reported higher accuracy (72.4%) in the classification of eight- shaped curving path both considering the overall feature set and a reduced one. These results open to the possibility of measuring RAS-induced effects on PD mobility in an ecological scenario and improving their administration based on the actual motor activity.

Background End-effector robots allow intensive gait training in stroke subjects and promote a successful rehabilitation. A comparison between conventional and end-effector Robot-Assisted Gait Training (RAGT) in subacute stroke patients is needed. Objective To investigate the efficacy of end-effector RAGT in subacute stroke patients. Methods Twenty-six subacute stroke patients were divided into two group: 14 patients performed RAGT (RG); 12 patients performed conventional gait training (CG). Clinical assessment and gait analysis were performed at the beginning (T0) and at the end (T1) of the rehabilitation. Results The RG revealed a significant improvement in body function, activities, participation scales, and in the distance measured with the 6 MWT. The affected lower limb's spasticity significantly decreased at T1. In gait analysis, RG showed significantly increases in many parameters. The CG significantly improved clinical assessments but showed no significant changes in gait parameters. Statistically significant differences between RG and CG were found in MRC-HE, TCT, 10 MWT, 6 MWT, and TUG. No significant difference between groups was registered in gait kinematics. Conclusions Both rehabilitation treatments produce promising effects in subacute stroke patients. RAGT device offers a more intensive, controlled, and physiological gait training and significantly improved deambulation.

Background The use of high heels is widespread in modern society in professional and social contests. Literature showed that wearing high heels can produce injurious effects on several structures from the toes to the pelvis. No studies considered shoe length as an impacting factor on walking with high heels. Research question The aim of this study is to evaluate walking parameters in young healthy women wearing high heels, considering not only the heel height but also the foot/shoe size. Methods We evaluate spatio-temporal, kinematic and kinetic data, collected using a 8-camera motion capture system, in a sample of 21 healthy women in three different walking conditions: 1) barefoot, 2) wearing 12 cm high heel shoes independently from shoe size, and 3) wearing shoes with heel height based on shoe size, keeping the ankles’ plantar flexion angle constant. The main outcome measures were: spatio-temporal parameters, gait harmony measurement, range of motion, flexion and extension maximal values, power and moment of lower limb joints. Results Comparing the three walking conditions, the Mixed Anova test, showed significant differences between both high heeled conditions (variable and constant height) and barefoot in spatio-temporal, kinematic and kinetic parameters. Significance Regardless of the shoe size, both heeled conditions presented a similar gait pattern and were responsible for negative effects on walking parameters. Considering our results and the relevance of the heel height, further studies are needed to identify a threshold, over which it is possible to observe that wearing high heels could cause harmful effects, independently from the foot/shoe size.

Background The gait recovery is a realist goal in the rehabilitation of almost Stroke patients. Over the last years, the introduction of robotic technologies in gait rehabilitation of stroke patients has had a greatest interest. Objective The aim of this study was to evaluate efficacy of Robotic Gait Training (RGT) in chronic stroke patients. Methods Fourteen chronic stroke patients were divided into two groups. Six patients received RGT, eight patients received traditional gait rehabilitation. Patients were assessed with clinical scales, as well as with gait analysis, at the beginning and at the end of the treatment. Results Significant changes in some clinical scales for both the groups were detected. In the robotic group, patients showed higher percentage changes in the MRC scale (p = 0.020), in the 6MWT (p = 0.043) and in the Ashworth scale (hip: p = 0.008; knee: p = 0.043; ankle: p = 0.043) when compared with the traditional group. With respect to the gait analysis, we did not found any difference neither in the within-group analysis, nor in the between-group analysis. Conclusions Both rehabilitation treatments do not change the compensatory strategies in chronic patients but the RGT offers to the patients a more intensive and controlled gait training increasing the gait endurance and decreasing spasticity in the lower limb.

Objective Although deficit of coordination between the upper and lower body segments might play an important role in impairing gait and stability in ataxic patients, this deficit has not been investigated in subjects with ataxia so far. To evaluate the coordination between trunk and thigh in a sample of patients with ataxia compared with healthy controls and to correlate the coordination measures with the clinical severity. Design Prospective observational study. Subjects Sixteen patients with degenerative cerebellar ataxia and sixteen age- and sex-matched controls were studied. Methods We assessed the coordination on the sagittal plane between trunk and thigh, considered as rigid segments, by the continuous relative phase (CRP) method. We used the coefficient of multiple correlation (CMC) to measure the within-subject (CMCWS) variability, and the SARA scale to assess clinical severity. Results CRP curves are dissimilar between ataxic patients and controls, the former showing a chaotic behavior compared to the well-shaped CRP curves observed in the latter. Trunk-thigh coordination has a higher within-subject variability in ataxic patients (median CMCWS: 0.53 for patients, 0.89 for controls, p Conclusions Ataxia shows a deficit of spatio-temporal coordination between trunk and thigh. Such a deficit is correlated with the degree of the clinical impairment indicating an important role of inter-segmental coordination in determining the severity of ataxia.

OBJECTIVES Back pain is one of the major problems for the public health system in the western world. The purposes of this study were to assess back pain in a large cohort of adolescents; to evaluate the prevalence, intensity, and features; and obtain information about drug management of this symptom. METHODS One thousand four hundred seventy-one healthy students aged 14 to 19 years were enrolled in the study. The subjects underwent a face-to-face interview using an ad hoc questionnaire, the Numeric Rating Scale, the Neuropathic Pain Symptom Inventory, and the Short-Form 36 questionnaire. RESULTS Sixty-eight percent of adolescents reported moderate to severe pain, with a higher prevalence of moderate/severe pain in female. The intensity of pain was higher (P < 0.001) in females than in men. A correlation was found between pain and quality of life. Considering the adolescents with severe pain, 21.6% requested a doctor's opinion, and 18% used analgesics (63.2% of them without a doctor's prescription), with a frequency of about 2 times per month. CONCLUSIONS We found that the prevalence of back pain in adolescents is very high, with the consequences on quality of life, and it becomes frequently a self-managed symptom. This should encourage research on the causes of pain in order to limit the risk factors underlying the pain development and obtain a good prevention strategy.

Gait recovery is one of the main goals of post-stroke rehabilitation and Robot-Assisted Gait Training (RAGT) has shown positive outcomes. However, there is a lack of studies in the literature comparing the effects of different devices. This paper aims to study the effects, in terms of clinical and gait outcomes, of treadmill-based and overground RAGT, compared to conventional gait training in stroke subjects. The results showed a significant improvement of clinical outcomes in both robotic treatments and in conventional therapy. The performance of locomotor tasks was clinically significant in the robotic groups only. The spatio-temporal gait parameters did not reveal any significant difference. Results suggest future multicentre studies on a larger number of subjects.

The estimate of a consistent and clinically meaningful joint kinematics using wearable inertial and magnetic sensors requires a sensor-to-segment coordinate system calibration. State-of-the-art calibration procedures for the upper limb are based on functional movements and/or pre-determined postures, which are difficult to implement in subjects that have impaired mobility or are bedridden in acute units. The aim of this study was to develop and validate an alternative calibration procedure based on the direct identification of palpable anatomical landmarks (ALs) for an inertial and magnetic sensor-based upper limb movement analysis protocol. The proposed calibration procedure provides an estimate of three-dimensional shoulder/elbow angular kinematics and the linear trajectory of the wrist according to the standards proposed by the International Society of Biomechanics. The validity of the method was assessed against a camera-based optoelectronic system during uniaxial joint rotations and a reach-to-grasp task. Joint angular kinematics was found as characterised by a low-biased range of motion (2 > 0.995) with respect to the gold standard. Except for the cranio–caudal direction, the linear trajectory of the wrist was characterised by a low-biased range of motion (2 > 0.968). The proposed method enabled the estimation of reliable joint kinematics without requiring any active involvement of the patient during the calibration procedure, complying with the metrological standards and requirements of clinical movement analysis.

Aim of this study was to develop an anatomical calibration procedure for wearable Magnetic and Inertial Measurement Units to assess Reach-To-Grasp kinematics in the stroke unit. A calliper hosting a MIMU was used to measure the direction of axes identified by pairs of selected Anatomical Landmarks and the inter-ALs distance along these axes. The upper limb was modelled as a two-link open kinematic chain and forward kinematics was used to estimate the position of the end-effector on six subjects wearing three MIMUs on the thorax, upper arm and forearm while performing fifteen RTG cycles. The proposed procedure showed a low bias and good levels of agreement with respect to reference positional data.

Background. Patients suffering from cerebellar ataxia have extremely variable gait kinematic features. We investigated whether and how wearable inertial sensors can describe the gait kinematic features among ataxic patients. Methods. We enrolled 17 patients and 16 matched control subjects. We acquired data by means of an inertial sensor attached to an ergonomic belt around pelvis, which was connected to a portable computer via Bluetooth. Recordings of all the patients were obtained during overground walking. From the accelerometric data, we obtained the harmonic ratio (HR), i.e., a measure of the acceleration patterns, smoothness and rhythm, and the step length coefficient of variation (CV), which evaluates the variability of the gait cycle. Results. Compared to controls, patients had a lower HR, meaning a less harmonic and rhythmic acceleration pattern of the trunk, and a higher step length CV, indicating a more variable step length. Both HR and step length CV showed a high effect size in distinguishing patients and controls (p &lt, 0.001 and p = 0.011, respectively). A positive correlation was found between the step length CV and both the number of falls (R = 0.672, p = 0.003) and the clinical severity (ICARS: R = 0.494, p = 0.044, SARA: R = 0.680, p = 0.003). Conclusion. These findings demonstrate that the use of inertial sensors is effective in evaluating gait and balance impairment among ataxic patients.

We tested whether acute cerebellar stroke may determine changes in brain network architecture as defined by cortical sources of EEG rhythms.Graph parameters of 41 consecutive stroke patients (5 days from the event) were studied using eLORETA EEG sources. Network rearrangements of stroke patients were investigated in delta, alpha 2, beta 2 and gamma bands in comparison with healthy subjects.The delta network remodeling was similar in cerebellar and middle cerebral artery strokes, with a reduction of small-worldness. Beta 2 and gamma small-worldness, in the right hemisphere of patients with cerebellar stroke, increase respect to healthy subjects, while alpha 2 small-worldness increases only among patients with a middle cerebral artery stroke.The network remodeling characteristics are independent on the size of the ischemic lesion. In the early post-acute stages cerebellar stroke differs from the middle cerebral artery one because it does not cause alpha 2 network remodeling while it determines a high frequency network reorganization in beta 2 and gamma bands with an increase of small-worldness characteristics.These findings demonstrate changes in the balance of local segregation and global integration induced by cerebellar acute stroke in high EEG frequency bands. They need to be integrated with appropriate follow-up to explore whether further network changes are attained during post-stroke outcome stabilization.

Sailing might produce a positive effect on a patient’s general health and become an integrated part of rehabilitation. Our hypothesis was that a specific technological rehabilitation program might be used to prepare a group of disabled subjects for sailing. Seventeen patients (age range: 9-20) with impairments in motor coordination and balance and 15 healthy subjects participated in the study. The study was divided into the virtual-technological sailing phase, theory-practice phase, and sports phase. Proprioceptive platforms were used to evaluate balance, and the Child Health Questionnaire–PF50 was used to evaluate quality of life. Trunk displacement and the center of pressure velocity improved significantly after the virtual-technological sailing program. As regards quality of life, the physical and psychosocial score significantly improved at the end of the program. A technological rehabilitation training improved balance in disabled subjects and may be used to prepare them for a real sailing course. Sailing improves the quality of life of disabled subjects and could be used in the rehabilitation.

Computed gait analysis is a valid tool able to assess human walking. The joint angle variation during the cycle consists in a function. The derivation process, producing angular velocity and acceleration, may reveal and quantify the small angle variations. This approach may support physician’s interpretation of the joint movements. We would like to propose a calculation, combining the data from angular velocity and angular acceleration, to obtain a graph showing some features of joint behavior. We compared the results among a healthy subject, a coxarthrosis patient and a stroke patient. The built graph clearly shows the direction changes of the joint movements and the differences between the two sides and quantifies the acceleration/deceleration of a joint. The proposed approach is a mathematical artifice, which amplifies the information contained in the usual angle graphs and possibly opens the doors to more specific rehabilitation approaches.

The objective of this single-center pilot study was to assess if symptomatic intracranial atherosclerotic disease (ICAD) ultrasound features change through the 2 years after acute ischemic stroke or TIA, being ICAD a relevant cause of acute ischemic stroke or TIA, linked to high rates of recurrent stroke. We consecutively enrolled 48 patients with acute ischemic stroke or TIA with symptomatic ICAD detected by transcranial color-coded duplex sonography (TCCS) and confirmed by MR-angiography and/or CT-angiography. We set a neurosonological and clinical follow-up at 3, 6, 12, and 24 months (T0, T1, T2, T3, and T4). We observed that the hemodynamic effect of the stenosis changed during the 2-year follow-up, as revealed by the modifications of Peak Systolic Velocity (PSV) (Friedman-ANOVA test, p

Functional neuroimaging enables the assessment of the brain function in both rest and active conditions. While traditional functional connectivity studies focus on determining distributed patterns of brain activity, the analysis of pair-wise correlations in the time series associated to brain regions allows a paradigm shift to graph theory making available a whole set of parameters for the analysis of the functional network. Then, the study of the properties of the networks as well as of their modulations can be performed in the space of the so-identified features potentially leading to the detection of condition-specific (static or dynamic) fingerprints. Following this guideline, this study is a first attempt to using graph-based measures for capturing task-specific signatures of a reach&grasp movement. The weighted clustering coefficient (CW), characteristic path length (SW) and small-worldness (SW) were considered and performance was assessed against classical measures (event-related (de)synchronization). Neurophysiological data were collected through high-density EEG and a stereophotogrammetric system was used for capturing the onset and end of the movement. Though not reaching statistical significance, these preliminary results witness the modulation of the function network due to reach&grasp and provide evidence in favour of the possibility of capturing such a modulation through graph-based properties. This would allow to shed light on the movement-induced reorganization of the network, which has a clear translational impact for the assessment of the recovery of patients after acute stroke.

Introduction In this study we evaluated whether near-infrared spectroscopy (NIRS) can determine the metabolic patterns of dermatomyositis (DM), polymyositis (PM), and inclusion-body myositis (IBM). Methods We enrolled 10 consecutive patients affected by DM, 11 by PM, and 9 by IBM, and 3 groups of healthy controls. We measured changes in oxygenated and deoxygenated hemoglobin/myoglobin in the extensor digitorum communis during venous and arterial occlusion testing (VOT) and post-occlusion hyperemia. Results DM showed lower oxygen consumption (P = 0.04) during VOT and reduced oxygen supply after VOT (P = 0.04) compared with controls. IBM patients showed higher oxygen consumption (P = 0.04) during VOT and higher oxygen supply after VOT (P = 0.03) than controls. DM patients showed reduced oxidative metabolism compared with IBM (P = 0.001), and an impaired ability to supply oxygen compared with PM (P = 0.03) and IBM (P = 0.001) patients. Conclusions NIRS differentiated samples of DM and IBM patients from controls, but it could not distinguish PM patients from a sample of healthy subjects. Muscle Nerve 51: 830–837, 2015

Purpose To investigate whether prefrontal cortex (PFC) functioning during ataxic gait is linked to compensatory mechanisms or to the typical intra-subject variability of the ataxic gait. Methods Nineteen patients with chronic ataxia and fifteen healthy subjects were evaluated. The subjects were requested to walk along a straight distance of 10 meters while PFC oxygenation and gait parameters were assessed. PFC activity was evaluated by NIRO-200 while gait analysis was performed by the SMART-D500. To investigate the intra-subject variability of gait, we calculated the coefficient of multiple correlation (CMC) of the hip, knee and ankle kinematic waveforms furthermore, we evaluated the step width. Results We observed a positive correlation between PFC bilateral oxygenation changes and the step width (r = 0.54; p = 0.02 for the right PFC, and r = 0.50; p = 0.03 for the left PFC). No correlation was found between PFC activity and CMC of the hip, knee and ankle waveforms. Conclusions Our results suggest that PFC activity is linked to gait compensatory mechanisms more than to the variability of the joint kinematic parameters caused by a defective cerebellar control.

Background. After cerebral ischemia, disruption and subsequent reorganization of functional connections occur both locally and remote to the lesion. Recently, complexity of brain connectivity has been described using graph theory, a mathematical approach that depicts important properties of complex systems by quantifying topologies of network representations. Functional and dynamic changes of brain connectivity can be reliably analyzed via electroencephalography (EEG) recordings even when they are not yet reflected in structural changes of connections. Objective. We tested whether and how ischemic stroke in the acute stage may determine changes in small-worldness of cortical networks as measured by cortical sources of EEG. Methods. Graph characteristics of EEG of 30 consecutive stroke patients in acute stage (no more than 5 days after the event) were examined. Connectivity analysis was performed using eLORETA in both hemispheres. Results. Network rearrangements were mainly detected in delta, theta, and alpha bands when patients were compared with healthy subjects. In delta and alpha bands similar findings were observed in both hemispheres regardless of the side of ischemic lesion: bilaterally decreased small-worldness in the delta band and bilaterally increased small-worldness in the alpha2 band. In the theta band, bilaterally decreased small-worldness was observed only in patients with stroke in the left hemisphere. Conclusions. After an acute stroke, brain cortex rearranges its network connections diffusely, in a frequency-dependent modality probably in order to face the new anatomical and functional frame.

In this study we evaluated whether near-infrared spectroscopy (NIRS) can determine the metabolic patterns of dermatomyositis (DM), polymyositis (PM), and inclusion-body myositis (IBM).We enrolled 10 consecutive patients affected by DM, 11 by PM, and 9 by IBM, and 3 groups of healthy controls. We measured changes in oxygenated and deoxygenated hemoglobin/myoglobin in the extensor digitorum communis during venous and arterial occlusion testing (VOT) and post-occlusion hyperemia.DM showed lower oxygen consumption (P=0.04) during VOT and reduced oxygen supply after VOT (P=0.04) compared with controls. IBM patients showed higher oxygen consumption (P=0.04) during VOT and higher oxygen supply after VOT (P=0.03) than controls. DM patients showed reduced oxidative metabolism compared with IBM (P=0.001), and an impaired ability to supply oxygen compared with PM (P=0.03) and IBM (P=0.001) patients.NIRS differentiated samples of DM and IBM patients from controls, but it could not distinguish PM patients from a sample of healthy subjects.

Objective After cerebral ischemia, disruption and subsequent reorganization of functional connections occur both locally and remote to the lesion. Recently, brain complexity has been described using the graph theory, an elegant approach which depicts important properties of complex systems by quantifying topologies of network representations. We tested whether ischemic stroke may determine changes in smallworldness of cortical networks as measured by cortical sources of EEG. Methods Graph characteristics of EEG of 30 consecutive stroke patients in acute stage (no more than 5 days after the event) were examined. Connectivity analysis was performed using eLORETA in both hemispheres. Results Network rearrangements are mainly detected in delta, theta and alpha bands. Similar findings were observed in both hemispheres regardless the side of ischemic lesion: bilaterally decreased smallworldness in the delta band; similar modification observed in the theta band, but statistically significant only in left hemisphere stroke patients. Conclusions After an acute stroke, brain cortex rearranges its network connections diffusely, in a frequency-dependent modality in order to face the new anatomical and functional condition. Modifications in distinct frequencies suggests that the network remodelling occurs with different modalities. Key message Stroke-related brain network reorganization could reflect a not negligible adaptive process.