Correlation of reaching and grasping kinematics and clinical measures of upper extremity function in persons with stroke related hemiplegia

Rohafza, Maryam; Fluet, Gerard G.; Qiu, Qinyin; Adamovich, Sergei V.

doi:10.1109/embc.2014.6944404

Cited by 7 publications

(9 citation statements)

References 8 publications

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“…Recently, eye movements have been shown in stroke investigations to be a sensitive biomarker for cognitive and motor recovery ( 149 , 150 ). Additionally, poststroke patients display unique pathophysiologic phenotypes that may include tactile deficits ( 151 – 153 ), proprioceptive losses ( 154 , 155 ), hemiparesis and related motor synergies ( 156 – 158 ), and spasticity ( 159 – 161 ), which would suggest that these new sensory and motor “states” postinjury create new relationships between receptor and effector, requiring the need for re-integration ( 162 – 164 ).…”

Section: Impairment Of the Visuomotor Systemmentioning

confidence: 99%

The Intersection between Ocular and Manual Motor Control: Eye–Hand Coordination in Acquired Brain Injury

et al. 2017

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Acute and chronic disease processes that lead to cerebral injury can often be clinically challenging diagnostically, prognostically, and therapeutically. Neurodegenerative processes are one such elusive diagnostic group, given their often diffuse and indolent nature, creating difficulties in pinpointing specific structural abnormalities that relate to functional limitations. A number of studies in recent years have focused on eye–hand coordination (EHC) in the setting of acquired brain injury (ABI), highlighting the important set of interconnected functions of the eye and hand and their relevance in neurological conditions. These experiments, which have concentrated on focal lesion-based models, have significantly improved our understanding of neurophysiology and underscored the sensitivity of biomarkers in acute and chronic neurological disease processes, especially when such biomarkers are combined synergistically. To better understand EHC and its connection with ABI, there is a need to clarify its definition and to delineate its neuroanatomical and computational underpinnings. Successful EHC relies on the complex feedback- and prediction-mediated relationship between the visual, ocular motor, and manual motor systems and takes advantage of finely orchestrated synergies between these systems in both the spatial and temporal domains. Interactions of this type are representative of functional sensorimotor control, and their disruption constitutes one of the most frequent deficits secondary to brain injury. The present review describes the visually mediated planning and control of eye movements, hand movements, and their coordination, with a particular focus on deficits that occur following neurovascular, neurotraumatic, and neurodegenerative conditions. Following this review, we also discuss potential future research directions, highlighting objective EHC as a sensitive biomarker complement within acute and chronic neurological disease processes.

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Section: Impairment Of the Visuomotor Systemmentioning

confidence: 99%

The Intersection between Ocular and Manual Motor Control: Eye–Hand Coordination in Acquired Brain Injury

et al. 2017

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“…In addition, clinical assessment alone is insufficient to accurately evaluate the degree of impairment (Kim et al 2014). Recent studies of stroke rehabilitation using robotic devices have focused on kinematic movement measurement (Bosecker et al 2010;Kim et al 2014;Rohafza et al 2014). Kinematic movement measurement provides information regarding the ability to move the extremities through space (Rohafza et al 2014) and kinematic movement measurement is considered suitable to obtain specific and accurate motion data (Kim et al 2014).…”

Section: Discussionmentioning

confidence: 99%

“…Recent studies of stroke rehabilitation using robotic devices have focused on kinematic movement measurement (Bosecker et al 2010;Kim et al 2014;Rohafza et al 2014). Kinematic movement measurement provides information regarding the ability to move the extremities through space (Rohafza et al 2014) and kinematic movement measurement is considered suitable to obtain specific and accurate motion data (Kim et al 2014). In particular, according to recent studies of robot-assisted training for stroke patients, the combination of kinematic assessment and traditional clinical scales may allow for quantitative evaluation of motor impairment (Patterson et al 2011;van Dokkum et al 2014).…”

Section: Discussionmentioning

confidence: 99%

Robot-Assisted Reach Training for Improving Upper Extremity Function of Chronic Stroke

Cho

Song

2015

Tohoku J. Exp. Med.

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Stroke, as a major risk factor for chronic impairment of upper limb function, can severely restrict the activities of daily living. Recently, robotic devices have been used to enhance the functional upper extremity movement of stroke patients. The purpose of the current study was to assess whether a robotassisted reach training program using a whole arm manipulator (WAM) could improve upper extremity kinematic performance and functional movement for chronic stroke patients. Using a single-group design, this study followed 10 people with chronic stroke (6 men, 61.5 years; Mini-Mental State Examination score: 27.0; onset duration: 8.9 years). WAM with seven degrees of freedom for the shoulder, elbow, and wrist joints was used during robot-assisted reach exercises. Subjects participated in the training program for 40 minutes per day, 2 times a week, for 4 weeks. The main outcome measures were upper extremity kinematic performance (movement velocity) for three directions and functional movement (Action Research Arm Test). Upper extremity kinematic performance and functional movement measures were performed three times: at baseline, during intervention (at 2 weeks), and post intervention. Upper extremity kinematic performance and functional movement showed improvement after two weeks (P < 0.05) and four weeks (P < 0.05) of training compared to baseline. The findings of the current study demonstrated the positive effects of short-term robot-assisted reach training on upper extremity kinematic performance as well as functional movement in individuals with chronic stroke. In addition, the findings of the current study may provide valuable information for subsequent randomized controlled trials.

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“…Rohafza et al identified a multivariate model of four kinematic measures of movement collected in two virtual environments. This model predicted 56% of the variance ( p = 0.042) in Jebsen Test of Hand Function change as the result of a 2 week training intervention ( 49 ). Rohafza et al developed a similar multivariate model of measures of reach to grasp and object transport trajectory smoothness, hand opening, and trunk movement during a real object interaction test collected at baseline testing.…”

Section: Identifying Persons Likely To Benefit From Virtual Rehabilitmentioning

confidence: 99%

Virtual Rehabilitation of the Paretic Hand and Arm in Persons With Stroke: Translation From Laboratory to Rehabilitation Centers and the Patient's Home

et al. 2021

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The anatomical and physiological heterogeneity of strokes and persons with stroke, along with the complexity of normal upper extremity movement make the possibility that any single treatment approach will become the definitive solution for all persons with upper extremity hemiparesis due to stroke unlikely. This situation and the non-inferiority level outcomes identified by many studies of virtual rehabilitation are considered by some to indicate that it is time to consider other treatment modalities. Our group, among others, has endeavored to build on the initial positive outcomes in studies of virtual rehabilitation by identifying patient populations, treatment settings and training schedules that will best leverage virtual rehabilitation's strengths. We feel that data generated by our lab and others suggest that (1) persons with stroke may adapt to virtual rehabilitation of hand function differently based on their level of impairment and stage of recovery and (2) that less expensive, more accessible home based equipment seems to be an effective alternative to clinic based treatment that justifies continued optimism and study.

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Correlation of reaching and grasping kinematics and clinical measures of upper extremity function in persons with stroke related hemiplegia

Cited by 7 publications

References 8 publications

The Intersection between Ocular and Manual Motor Control: Eye–Hand Coordination in Acquired Brain Injury

The Intersection between Ocular and Manual Motor Control: Eye–Hand Coordination in Acquired Brain Injury

Robot-Assisted Reach Training for Improving Upper Extremity Function of Chronic Stroke

Virtual Rehabilitation of the Paretic Hand and Arm in Persons With Stroke: Translation From Laboratory to Rehabilitation Centers and the Patient's Home

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