Functional classification of grasp strategies used by hemiplegic patients

This study aimed to identify and qualify grasp-types used by patients with stroke and determine the clinical parameters that could explain the use of each grasp. Thirty-eight patients with chronic stroke-related hemiparesis and a range of motor and functional capacities (17 females and 21 males, aged 25–78), and 10 healthy subjects were included. Four objects were used (tissue packet, teaspoon, bottle and tennis ball). Participants were instructed to “grasp the object as if you are going to use it”. Three trials were video-recorded for each object. A total of 456 grasps were analysed and rated using a custom-designed Functional Grasp Scale. Eight grasp-types were identified from the analysis: healthy subjects used Multi-pulpar, Pluri-digital, Lateral-pinch and Palmar grasps (Standard Grasps). Patients used the same grasps with in addition Digito-palmar, Raking, Ulnar and Interdigital grasps (Alternative Grasps). Only patients with a moderate or relatively good functional ability used Standard grasps. The correlation and regression analyses showed this was conditioned by sufficient finger and elbow extensor strength (Pluri-digital grasp); thumb extensor and wrist flexor strength (Lateral pinch) or in forearm supinator strength (Palmar grasp). By contrast, the patients who had severe impairment used Alternative grasps that did not involve the thumb. These strategies likely compensate specific impairments. Regression and correlation analyses suggested that weakness had a greater influence over grasp strategy than spasticity. This would imply that treatment should focus on improving hand strength and control although reducing spasticity may be useful in some cases.

[1]  M. Jeannerod The neural and behavioural organization of goal-directed movements , 1990, Psychological Medicine.

[2]  M. Jeannerod,et al.  Selective perturbation of visual input during prehension movements , 2004, Experimental Brain Research.

[3]  Paola Cesari,et al.  Scaling the components of prehension. , 2002, Motor control.

[4]  Miles C. Bowman,et al.  Control strategies in object manipulation tasks , 2006, Current Opinion in Neurobiology.

[5]  A. Schmid,et al.  Relationship Between Touch Sensation of the Affected Hand and Performance of Valued Activities in Individuals With Chronic Stroke , 2014, Topics in stroke rehabilitation.

[6]  Aaron M. Dollar,et al.  Analysis of Human Grasping Behavior: Correlating Tasks, Objects and Grasps , 2014, IEEE Transactions on Haptics.

[7]  Agnès Roby-Brami,et al.  Hand orientation for grasping and arm joint rotation patterns in healthy subjects and hemiparetic stroke patients , 2003, Brain Research.

[8]  J R Jenner,et al.  Recovery of elbow function in voluntary positioning of the hand following hemiplegia due to stroke. , 1990, Journal of neurology, neurosurgery, and psychiatry.

[9]  S. Sahrmann,et al.  Deficits in grasp versus reach during acute hemiparesis , 2005, Experimental Brain Research.

[10]  J. Hermsdörfer,et al.  The impact of unilateral brain damage on anticipatory grip force scaling when lifting everyday objects , 2014, Neuropsychologia.

[11]  G. Kwakkel,et al.  How Do Fugl-Meyer Arm Motor Scores Relate to Dexterity According to the Action Research Arm Test at 6 Months Poststroke? , 2015, Archives of physical medicine and rehabilitation.

[12]  A. Fugl-Meyer,et al.  The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance. , 1975, Scandinavian journal of rehabilitation medicine.

[13]  Steven M. Finbeiner,et al.  The Neural and Behavioral Organization of Goal-Directed Movements , 1989, The Yale Journal of Biology and Medicine.

[14]  D. Nowak,et al.  Grip force control during object manipulation in cerebral stroke , 2003, Clinical Neurophysiology.

[15]  Michael C. Ridding,et al.  Impairments in precision grip correlate with functional measures in adult hemiplegia , 2006, Clinical Neurophysiology.

[16]  John D. Steeves,et al.  Computer vision-based classification of hand grip variations in neurorehabilitation , 2011, 2011 IEEE International Conference on Rehabilitation Robotics.

[17]  H. Rodgers,et al.  Botulinum Toxin for the Upper Limb After Stroke (BoTULS) Trial: Effect on Impairment, Activity Limitation, and Pain , 2011, Stroke.

[18]  M. Schieber,et al.  Reduced muscle selectivity during individuated finger movements in humans after damage to the motor cortex or corticospinal tract. , 2004, Journal of neurophysiology.

[19]  S. Black,et al.  The Fugl-Meyer Assessment of Motor Recovery after Stroke: A Critical Review of Its Measurement Properties , 2002, Neurorehabilitation and neural repair.

[20]  Jennifer A. Semrau,et al.  Examining Differences in Patterns of Sensory and Motor Recovery After Stroke With Robotics , 2015, Stroke.

[21]  J. F. Soechting,et al.  Postural Hand Synergies for Tool Use , 1998, The Journal of Neuroscience.

[22]  Diana Adler,et al.  Using Multivariate Statistics , 2016 .

[23]  R. Lemon,et al.  Differences in the corticospinal projection from primary motor cortex and supplementary motor area to macaque upper limb motoneurons: an anatomical and electrophysiological study. , 2002, Cerebral cortex.

[24]  M. Santello,et al.  Effects of end-goal on hand shaping. , 2006, Journal of neurophysiology.

[25]  Matteo Bianchi,et al.  Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands. , 2016, Physics of life reviews.

[26]  Correlation between impairment and motor performance during reaching tasks in subjects with spastic hemiparesis. , 2006, Journal of rehabilitation medicine.

[27]  Michael A. Arbib,et al.  Learning to grasp and extract affordances: the Integrated Learning of Grasps and Affordances (ILGA) model , 2015, Biological Cybernetics.

[28]  M. Jeannerod,et al.  Selective perturbation of visual input during prehension movements , 1991, Experimental Brain Research.

[29]  Katsumi Nakajima,et al.  Direct and indirect pathways for corticospinal control of upper limb motoneurons in the primate. , 2004, Progress in brain research.

[30]  N. A. Bernstein Dexterity and Its Development , 1996 .

[31]  G. York,et al.  Hughlings Jackson's theory of recovery , 1995, Neurology.

[32]  A R Gibson,et al.  Construction of a reach-to-grasp. , 2007, Novartis Foundation symposium.

[33]  P. McNulty,et al.  The Prevalence and Magnitude of Impaired Cutaneous Sensation across the Hand in the Chronic Period Post-Stroke , 2014, PloS one.

[34]  N. Hogan,et al.  Movement Smoothness Changes during Stroke Recovery , 2002, The Journal of Neuroscience.

[35]  M. Marzke,et al.  Evolution of the human hand: approaches to acquiring, analysing and interpreting the anatomical evidence , 2000, Journal of anatomy.

[36]  Preeti Raghavan,et al.  Impaired anticipatory control of fingertip forces in patients with a pure motor or sensorimotor lacunar syndrome. , 2006, Brain : a journal of neurology.

[37]  K. Newell,et al.  The scaling of human grip configurations. , 1999, Journal of experimental psychology. Human perception and performance.

[38]  C. Trombly,et al.  The effects of exercise on finger extension of CVA patients. , 1983, The American journal of occupational therapy : official publication of the American Occupational Therapy Association.

[39]  Gereon R Fink,et al.  Dexterity is impaired at both hands following unilateral subcortical middle cerebral artery stroke , 2007, The European journal of neuroscience.

[40]  R. Johansson,et al.  Coordinated isometric muscle commands adequately and erroneously programmed for the weight during lifting task with precision grip , 2004, Experimental Brain Research.

[41]  D. Rosenbaum,et al.  Cognition, action, and object manipulation. , 2012, Psychological bulletin.

[42]  J. Wilson Providing automatic grasp by flexor tenodesis. , 1956, The Journal of bone and joint surgery. American volume.

[43]  R. Lyle A performance test for assessment of upper limb function in physical rehabilitation treatment and research , 1981, International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation.

[44]  D. Rosenbaum,et al.  Time course of movement planning: selection of handgrips for object manipulation. , 1992, Journal of experimental psychology. Learning, memory, and cognition.

[45]  Aaron M. Dollar,et al.  A Hand-Centric Classification of Human and Robot Dexterous Manipulation , 2013, IEEE Transactions on Haptics.

[46]  D. Reinkensmeyer,et al.  Alterations in reaching after stroke and their relation to movement direction and impairment severity. , 2002, Archives of physical medicine and rehabilitation.

[47]  M. Wiesendanger,et al.  Neurological problems affecting hand dexterity , 2001, Brain Research Reviews.

[48]  S. Sahrmann,et al.  Relationships between Sensorimotor Impairments and Reaching Deficits in Acute Hemiparesis , 2006, Neurorehabilitation and neural repair.

[49]  Eberhard E. Fetz,et al.  Dynamic Neural Network Models of the Premotoneuronal Circuitry Controlling Wrist Movements in Primates , 2005, Journal of Computational Neuroscience.

[50]  T. Platz,et al.  Reliability and validity of arm function assessment with standardized guidelines for the Fugl-Meyer Test, Action Research Arm Test and Box and Block Test: a multicentre study , 2005, Clinical rehabilitation.

[51]  M. Levin,et al.  Compensation for distal impairments of grasping in adults with hemiparesis , 2004, Experimental Brain Research.

[52]  Carolyn R. Mason,et al.  Hand synergies during reach-to-grasp. , 2001, Journal of neurophysiology.

[53]  M. Jeannerod Specialized channels for cognitive responses , 1981, Cognition.

[54]  U. Castiello,et al.  How Objects Are Grasped: The Interplay between Affordances and End-Goals , 2011, PloS one.

[55]  J. Napier The prehensile movements of the human hand. , 1956, The Journal of bone and joint surgery. British volume.

[56]  A. Billard,et al.  Comparison between macaques’ and humans’ kinematics of prehension: the role of morphological differences and control mechanisms , 2002, Behavioural Brain Research.

[57]  N. Paik,et al.  Feasibility of Video Clip Analysis on Effect of Botulinum Toxin-A Injection for Post-Stroke Upper Limb Spasticity , 2013, Toxins.

[58]  M. Levin Interjoint coordination during pointing movements is disrupted in spastic hemiparesis. , 1996, Brain : a journal of neurology.

[59]  Agnès Roby-Brami,et al.  Botulinum Toxin to Treat Upper-Limb Spasticity in Hemiparetic Patients: Grasp Strategies and Kinematics of Reach-to-Grasp Movements , 2010, Neurorehabilitation and neural repair.

[60]  R. Howe,et al.  Human grasp choice and robotic grasp analysis , 1990 .

[61]  L. Ada,et al.  Relation between spasticity, weakness and contracture of the elbow flexors and upper limb activity after stroke: An observational study , 2006, Disability and rehabilitation.

[62]  B. Bussel,et al.  Motor compensation and recovery for reaching in stroke patients , 2003, Acta neurologica Scandinavica.

[63]  Archana P. Sangole,et al.  Palmar arch modulation in patients with hemiparesis after a stroke , 2009, Experimental Brain Research.

[64]  T. Twitchell The restoration of motor function following hemiplegia in man. , 1951, Brain : a journal of neurology.

[65]  Günther Deuschl,et al.  Hand coordination following capsular stroke. , 2004, Brain : a journal of neurology.