Gradient mapping is an important technique to summarize high dimensional biological features as low manifold representations in exploring brain structure-function relationships at various levels of the cerebral cortex. While recent studies have characterized major gradients functional connectivity several structures using this technique, very few systematically examined correspondence such across under a common systems-level framework. Using resting-state magnetic resonance imaging, here we...

There is conflict regarding the benefits of greater amounts intensive upper limb rehabilitation in early period post-stroke. This study was conducted to test feasibility providing therapy during post-stroke and develop a randomized control trial that currently process. Specifically, investigated whether an additional 8 h specialized, (200-300 separate hand or arm movements per hour) virtual reality (VR)/robotic based training introduced within 1-month resulted improvement impairment...

The objective of this study was to compare the rolling resistance four common manual wheelchair tires (two pneumatic and two airless solid) solid used on a commercially available force- moment-sensing wheel. Coast-down tests were performed with positioned two-drum dynamometer. Within each three load conditions, tire type had significant effect (p < 0.001). smaller resistances less affected by increases than tires. types, higher air pressure or firmness lower profile tread corresponded...

Virtual reality (VR) offers unprecedented opportunity as a scientific tool to study visuomotor interactions, training, and rehabilitation applications. However, it remains unclear if haptic-free hand-object interactions in virtual environment (VE) may differ from those performed the physical (PE). We therefore sought establish coordination structure between transport grasp components remain similar whether reach-to-grasp movement is PE VE. Reach-to-grasp kinematics were examined 13 healthy...

Mirror visual feedback (MVF) is potentially a powerful tool to facilitate recovery of disordered movement and stimulate activation under-active brain areas due stroke. The neural mechanisms underlying MVF have therefore been focus recent inquiry. Although it known that sensorimotor can be activated via mirror feedback, the network interactions driving this effect remain unknown. aim current study was fill gap by using dynamic causal modeling test between regions in frontal parietal lobes may...

The goal of this paper is to demonstrate a novel approach that combines Empirical Mode Decomposition (EMD) with Notch filtering remove the electrical stimulation (ES) artifact from surface electromyogram (EMG) data for interpretation muscle responses during functional (FES) experiments. FES was applied rectus femoris (RF) unilaterally six able bodied (AB) and one individual spinal cord injury (SCI). Each trial consisted three repetitions ES. We hypothesized EMD algorithm provides suitable...

Transcranial magnetic stimulation (TMS) induced motor evoked potentials (MEPs) are an established proxy of corticospinal excitability. As a binary measure, the presence (MEP+) or absence (MEP-) ipsilesional hemisphere MEPs early following stroke is robust indicator long-term recovery, however this measure does not provide information about spatial cortical reorganization. have been systematically acquired over sensorimotor cortex to "map" topography. In investigation we compared degree which...

Control of reach-to-grasp movements for deft and robust interactions with objects requires rapid sensorimotor updating that enables online adjustments to changing external goals (e.g., perturbations or instability we interact with). Rarely do appreciate the remarkable coordination in reach-to-grasp, until control becomes impaired by neurological injuries such as stroke, neurodegenerative diseases, even aging. Modeling human is a challenging problem but fundamental several domains, including...

Objective: For transradial amputees, robotic prosthetic hands promise to regain the capability perform daily living activities. Current control methods based on physiological signals such as electromyography (EMG) are prone yielding poor inference outcomes due motion artifacts, muscle fatigue, and many more. Vision sensors a major source of information about environment state can play vital role in inferring feasible intended gestures. However, visual evidence is also susceptible its own...

Robotic technologies for rehabilitating motor impairments from neurological injuries have been the focus of intensive research and capital investment more than 30 years. However, these devices failed to convincingly demonstrate greater restoration patient function compared conventional therapy. Nevertheless, robots value in reducing manual effort required physical therapists provide high-intensity, high-dose interventions. In most robotic systems, remain outside control loop act as...

We designed and tested a system for real-time control of user interface by extracting surface electromyographic (sEMG) activity from eight electrodes in wristband configuration. sEMG data were streamed into machine-learning algorithm that classified hand gestures real-time. After an initial model calibration, participants presented with one three types feedback during human-learning stage: veridical feedback, which predicted probabilities the gesture classification displayed without...

Humans adjust their movement to changing environments effortlessly via multisensory integration of the effector’s state, motor commands, and sensory feedback. It is postulated that frontoparietal (FP) networks are involved in control prehension, with dorsomedial (DM) dorsolateral (DL) regions processing reach grasp, respectively. This study tested (5F, 5M participants) differential involvement FP nodes (ventral premotor cortex - PMv, dorsal PMd, anterior intraparietal sulcus aIPS, superior...

This study proposes a novel approach for evaluating the task invariance of muscle synergies, vital potential implementation in improving prosthetic hand control. We do this by using transfer learning paradigm to test across relatively small set hand/forearm derived from electromyographic (EMG) activation patterns during voluntary behaviors such as finger spelling and grasp mimicking postures unconstrained exploration. EMG each were decomposed non-negative matrix factorization into synergy...

Abstract Predictive processing is emerging as a common computational hypothesis to account for diverse psychological functions subserved by brain, providing systems-level framework characterizing structure-function relationships of its distinct substructures. Here, we contribute this examining gradients functional connectivity low dimensional spatial representation variation in the brain and demonstrating their implications predictive processing. Specifically, investigated cerebral cortex,...

This investigation utilized a single case design to evaluate the effects of dynamic AFO on ambulation in post stroke hemiplegia. A patient with related hemiplegia using underwent gait analysis while walking level grou

Background: Identifying and understanding the changes in transfer of momentum that are directly affected by orthotic intervention significant factors related to improvement mobility individuals with hemiplegia. Objectives: The purpose this investigation was use a novel analysis technique objectively measure weight during double support (DS) healthy hemiplegia secondary stroke without an ankle foot orthosis. Study design: Prospective, Repeated measures, case-controlled trial. Methods:...

Functional Electrical Stimulation (FES) applied through a foot drop stimulator (FDS) is rehabilitation intervention that can stimulate the common peroneal nerve to provide dorsiflexion at correct timing during gait.To determine if FES walking FDS would effectively retrain electromyographic temporal activation of tibialis anterior in individuals with stroke.Surface electromyography (EMG) were collected bilaterally from (TA) while participants (n = 4) walked and without baseline 4 weeks....

Mirror visual feedback (MVF) training is a promising technique to promote activation in the lesioned hemisphere following stroke, and aid recovery. However, current outcomes of MVF are mixed, part, due variability task undertaken during MVF. The present study investigated hypothesis that movements directed toward targets may enhance modulation motor cortex (M1) excitability ipsilateral trained hand compared without targets. Ten healthy subjects participated 2x2 factorial design which...