A5029999868- Stroke Rehabilitation and Recovery
- Acute Ischemic Stroke Management
- Botulinum Toxin and Related Neurological Disorders
- Cerebral Palsy and Movement Disorders
- Traumatic Brain Injury Research
- Advanced MRI Techniques and Applications
- Cerebrovascular and Carotid Artery Diseases
- Muscle activation and electromyography studies
- Traumatic Brain Injury and Neurovascular Disturbances
- EEG and Brain-Computer Interfaces
- Transcranial Magnetic Stimulation Studies
- Innovations in Medical Education
- Advanced Neuroimaging Techniques and Applications
- Spinal Cord Injury Research
- Bacterial Infections and Vaccines
- Functional Brain Connectivity Studies
- Bone health and osteoporosis research
- Neuroinflammation and Neurodegeneration Mechanisms
- Cardiac Arrest and Resuscitation
- Pharmaceutical Practices and Patient Outcomes
- Motor Control and Adaptation
- Clinical Reasoning and Diagnostic Skills
- Musculoskeletal pain and rehabilitation
- Bone and Joint Diseases
- CNS Lymphoma Diagnosis and Treatment
Harvard University
2015-2025
Massachusetts General Hospital
2016-2025
Center for Neuro-Oncology
2018-2025
Providence VA Medical Center
2021-2025
MGH Institute of Health Professions
2021-2025
Rehabilitation Research and Development Service
2021-2024
Neurotech (United States)
2021-2023
University of Southern California
2023
Imaging Center
2023
Ralph H. Johnson VA Medical Center
2022
Despite promising results in the rehabilitation field, it remains unclear whether upper limb robotic wearables, e.g., for people with physical impairments resulting from neurodegenerative disease, can be made portable and suitable everyday use. We present a lightweight, fully portable, textile-based, soft inflatable wearable robot shoulder elevation assistance that provides dynamic active support to limbs. The technology is mechanically transparent when unpowered, quantitatively assess free...
Background and Purpose— Injury to the corticospinal tract (CST) has been shown have a major effect on upper extremity motor recovery after stroke. This study aimed examine how well CST injury, measured from neuroimaging acquired during acute stroke workup, predicts recovery. Methods— Patients with weakness ischemic were assessed using Fugl-Meyer hospitalization again at 3-month follow-up. injury was quantified compared, 4 different methods, images obtained as part of standard-of-care workup....
Intense therapy is a key factor to improve rehabilitation outcomes. However, when performing rehabilitative stretching with the upper limb of stroke survivors, therapist fatigue often limiting for number repetitions per session. In this work we present an inflatable soft wearable robot aimed at improving severe by reducing during extremity stretching. The device consists textile-based actuator anchored torso and arm via functional apparel. Upon inflation, creates moment force about...
Functional outcomes after stroke are strongly related to focal injury measures. However, the role of global brain health is less clear. In this study, we examined impact age, a measure neurobiological aging derived from whole-brain structural neuroimaging, on poststroke outcomes, with focus sensorimotor performance. We hypothesized that more lesion damage would result in older which turn be associated poorer outcomes. Related, expected age mediate relationship between and Finally,...
Abstract Telerehabilitation and robotics, either traditional rigid or soft, have been extensively studied used to improve hand functionality after a stroke. However, limited number of devices combined these two technologies such level maturity that was possible use them at the patients’ home, unsupervised. Here we present novel investigation demonstrates feasibility system integrates soft inflatable robotic glove, cloud-connected software interface, telerehabilitation therapy. Ten chronic...
In postmenopausal osteoporosis, switching from teriparatide to denosumab results in continued bone mineral density (BMD) gains whereas BMD loss. To assess the effects of these transitions on microarchitecture and strength, we performed high-resolution peripheral QCT (HR-pQCT) at distal tibia radius osteoporotic women who received 24 months 20 μg daily followed by 60 mg every 6 months, teriparatide, or both medications denosumab. The 77 completed least one post-switch visit are included this...
In the field of wearable robotics, there has been increased interest in creation soft robots to provide assistance and rehabilitation for those with physical impairments. Compared traditional robots, these devices have potential be fully portable lightweight, a flexibility that may allow utilization time as well enable use outside clinical environment. this letter, we present textile-based multi-joint robot assist upper limb, particular shoulder elevation elbow extension. Before developing...
Abstract Recent advances in brain–computer interface technology to restore and rehabilitate neurologic function aim enable persons with disabling conditions communicate, interact the environment, achieve other key activities of daily living personal goals. Here we evaluate principles, benefits, challenges, future directions interfaces context neurorehabilitation. We then explore clinical translation these technologies propose an approach facilitate implementation for disease.
Stroke is a leading cause of long-term disability. Greater rehabilitation therapy after stroke known to improve functional outcomes. This study examined doses during the first year recovery and identified factors that predict dose.
Stroke is a leading cause of disability worldwide which can significant and persistent upper limb (UL) impairment. It difficult to predict UL motor recovery after stroke forecast the expected outcomes rehabilitation interventions during acute subacute phases when using clinical data alone. Accurate prediction response treatment could allow for more timely targeted interventions, thereby improving recovery, resource allocation, reducing economic impact post-stroke disability. Initial...
Background The Fugl-Meyer Assessment-Upper Extremity (FMA-UE) is a widely used outcome measure for quantifying motor impairment in stroke recovery. Meaningful change (responsiveness) the acute to subacute phase of recovery has not been determined. Objective Determine responsiveness and sensitivity FMA-UE from 1-week 6-weeks (subacute) after individuals with moderate severe arm who received standard clinical care. Methods A total 51 participants resulting UE hemiparesis had assessment at...
Abstract In 2023, the National Science Foundation (NSF) and Institute of Health (NIH) brought together engineers, scientists, clinicians by sponsoring a conference on computational modelling in neurorehabiilitation. To facilitate multidisciplinary collaborations improve patient care, this perspective piece we identify where how can support neurorehabilitation. address where, developed patient-in-the-loop framework that uses multiple and/or continual measurements to update diagnostic...
A 21-year-old man with sickle cell disease was evaluated after loss of consciousness resulting in a fall. MRI the head showed no clinically significant hemorrhage or evidence restricted diffusion. diagnosis made.
<h3>Background and Objectives</h3> Precise measurement of outcomes is essential for stroke trials clinical care. Prior research has highlighted conceptual differences between global outcome measures such as the modified Rankin Scale (mRS) domain-specific (e.g., motor, sensory, language or cognitive function). This study related motor phenotypes to mRS, specifically aiming determine whether mRS levels distinguish impairment function phenotypes, compare meaningful changes in from acute...
The Fugl Meyer Assessment (FMA) is a widely-used assessment for tracking motor function recovery post-stroke. Due to the limited access rehabilitation, there exists need remote and automated solutions. Wearable sensors data-driven methods have shown promise enabling automatic upper extremity FMA (FMA-UE) estimation, but minimizing user input motion aligning with current clinical activities will aid adoption of sensor-based assessments. In this work, we present an FMA-UE estimator which can...