Robot-assisted Training in Children With CP
Robot-assisted Hand Training to Induce Manual Functional Change and Cerebral Neural Plasticity in Children With Cerebral Palsy
2 other identifiers
interventional
80
1 country
1
Brief Summary
Cerebral palsy (CP) is the most common physical disability in early childhood causing serious motor and sensory impairments. Effective interventions for the recovery of motor functions are of profound significance to children with CP, their families, caregivers, and health professionals. Robot-assisted rehabilitation represents a frontier with potential to improve motor functions and induce brain reorganization in children with CP.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Sep 2021
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
September 25, 2021
CompletedFirst Submitted
Initial submission to the registry
June 4, 2024
CompletedFirst Posted
Study publicly available on registry
June 10, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 31, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2025
CompletedJune 10, 2024
May 1, 2024
3.9 years
June 4, 2024
June 4, 2024
Conditions
Outcome Measures
Primary Outcomes (13)
High Density Electroencephalogram (HD-EEG)
A high-density EEG net placed on participant's heads will be connected to the EEG recording device that measures the electrical potential generated by the participant's brain and recorded on the participant's scalp. After the net is placed on the head, extra leads are placed on the body for measuring electro-cardiography (ECG), electro-oculography (EOG), and electro-myography (EMG). Three tasks will be performed with simultaneous HD-EEG recording in each assessment session on the robot: one is active and passive movements of fingers with the robot; another is robotic vibration of fingers; the third is interactive game playing with the robot. The entire HD-EEG session will last up to 1.5 hours, and the participants will be given multiple breaks throughout the session. Somatosensory and motor evoked responses will be collected and quantified in the form of signal amplitude, power frequency, and localization.
Baseline, Day 15, Day 60
Transcranial magnetic stimulation (TMS)
TMS is a noninvasive procedure that uses magnetic fields to stimulate nerve cells in the brain in order to map the motor cortex. During the TMS session, the participant will lay down comfortably in a specially designed armchair. The operator will initially place a band around the participant's head that is used for coregistering the participant's anatomy with respect to the location of the TMS coil.
Baseline, Day 15, Day 60
MRI
MRI produces three-dimensional detailed anatomical image of the human brain. The imaging protocol will consist of structural MRI (T1), diffusion MRI (dMRI), and resting-state functional MRI (rs-fMRI) sequences. Scans will be performed on a 3T Siemens Tim Trio (Siemens Healthcare, USA). The entire data collection session will last \~30 min.
Day 15
Pegboard Test
This assesses manual dexterity by measuring the time a child needs to transfer 25 cylindrical metal pegs in to 25 holes. The measurement is transfer time in seconds.
Baseline, Day 15, Day 60
Assisting Hand Assessment (AHA)
The AHA is an evaluation tool that measures and describes how children with an upper limb disability use his/her affected hand (assisting hand) collaboratively with the non-affected hand. The test will be performed for participants up to 12 years of age. The AHA assesses a child's spontaneous and normal way of handling objects when playing. The AHA score ranges from 22 points (hand is not used at all) to 88 points (hand is used as effectively as a normal hand).
Baseline, Day 15, Day 60
MACS assessment
The MACS is used to measure children with CP's typical manual performance during daily activities they may encounter. The MACS describes five levels that are determined by a child's own ability to handle objects, and whether or not they need assistance to perform specific activities. The MACS levels form an ordinal scale from I (handles objects easily and successfully) to V (Does not handle objects and has severely limited ability to perform even simple actions).
Baseline, Day 15, Day 60
Two Point Discrimination
The Touch Test® consists of two rotating, plastic disks joined together. Around the perimeter of the two disks are plastic rounded tips of the same length and diameter where all tips are paired except one. Paired tips are spaced at standard testing intervals. Participants will place their hands on a table, palms up, and close their eyes. A paired tip or single tip stimulus is applied randomly to the tip of a digit for at least three seconds, and the participant is asked to state whether he/she perceived a one-point or a two-point stimulus. Testing is conducted the same way for the dynamic test, but the stimulus is dragged from the bottom of the finger to the tip. Two-point discrimination is scored as 1 (normal), 2 (fair), and 3 (poor). Monofilament measures touch sensitivity of the tip of all five fingers. Monofilament scores are 1 (normal), 2 (fair), and 3 (poor).
Baseline, Day 15, Day 60
Monofilament
Touch sensitivity will be measured at the tip of all five fingers using von Frey monofilaments. The monofilaments consist of a set of plastic filaments with varying diameters. The monofilaments are aligned perpendicular to the skin and pressed down slowly until they started to bend. The monofilaments are held in place steadily for 1.5 seconds before being removed in the same way as they were applied. Participants are instructed to notify the experimenter if they felt any sensation of touch by saying ''yes" or ''no", and are asked to indicate on which finger they felt a sensation by either touching the finger or expressing it vocally. Monofilament scores are 1 (normal), 2 (fair), and 3 (poor).
Baseline, Day 15, Day 60
Force
This is measured by Amadeo. This assesses a person's isometric finger and grip strength. The measurement is grip strength in Newton.
Baseline, Day 15, Day 60
Range of motion
This is measured by Amadeo. This measures the extension and flexion range of individual finger in mm.
Baseline, Day 15, Day 60
Spasticity
This is measured by Amadeo. This assesses the existence and severity of spasticity with scores of 1 (normal), 2 (fair), and 3 (poor).
Baseline, Day 15, Day 60
Tone
This is measured by Amadeo. This measures the tension of the finger muscles. Tone scores are measure from 0 (normal) to 4 rigid.
Baseline, Day 15, Day 60
Hand motion trajectory (aiming & pointing test)
The Aiming \& Pointing test is a computerized task, in which a participant will hold a digitizer pen and slice the digitizer on a tablet to control the movement of a cursor dot to hit a target dot (both dots displayed on a computer/laptop screen). This measures the accuracy of a child's aiming and pointing movements in mm.
Baseline, Day 15, Day 60
Study Arms (4)
Experimental Group I
EXPERIMENTALParticipants in this group will be between the ages of 7 and 18 years old and have a diagnosis of cerebral palsy. Amadeo will be used to train the more-affected hand of participants in this group. The training will last approximately 1 hour per day for 14 successive days. Participants will be asked to first do active finger and passive finger moving, then receive haptic vibration, and finally play interactive games.
Control Group I
NO INTERVENTIONParticipants in this group will be between the ages of 7 and 18 years old and have a diagnosis of cerebral palsy.
Experimental Group II
EXPERIMENTALParticipants in this group will be between the ages of 7 and 18 years old and have no history of neurological disorder or brain injury. Amadeo will be used to train the non-dominant hand of participants in this group. The training will last approximately 1 hour per day for 14 successive days. Participants will be asked to first do active finger and passive finger moving, then receive haptic vibration, and finally play interactive games.
Control Group II
NO INTERVENTIONParticipants in this group will be between the ages of 7 and 18 years old and have no history of neurological disorder or brain injury.
Interventions
Amadeo® is an FDA Class I Exempt hand/finger robot that has the capacity to precisely measure hand/finger functions. To use Amadeo, a participant will be seated in a chair. The height of the robot arm support will be adjusted to achieve a comfortable position for the participant. One of the participant's arms will be will be placed on the robot arm support. Magnetic finger tips will then be attached to fingers and thumb. After this, fingers and thumb will be connected to the robot finger sliders. To use Amadeo, the movement range and maximal force of each finger will be configured according to the finger's capability. The following four types of function assessments will be performed with Amadeo: Force, range of motion, tone, and spasticity. Each session will last approximately one hour.
Eligibility Criteria
You may qualify if:
- An evaluation by a pediatric neurologist, Physical Medicine and Rehabilitation (PMNR) physicians (physiatrists), neonatal developmental specialist, or neonatologist with a diagnosis of CP.
- Classified as high-functioning (I or II) at the Gross Motor Function Classification System (GMFCS)
- Participants in the control group should have no history of neurological disorder or brain injury
You may not qualify if:
- Psychoactive or myorelaxant medication during study procedures
- Genetic syndrome diagnosis
- History of trauma or brain operation
- Inability to sit still
- Metal implants
- Baclofen pump
- Inability or unwillingness of patient or parent/legally authorized representative to give written informed consent
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Cook Children's Medical Center
Fort Worth, Texas, 76104, United States
Related Publications (30)
Yeargin-Allsopp M, Van Naarden Braun K, Doernberg NS, Benedict RE, Kirby RS, Durkin MS. Prevalence of cerebral palsy in 8-year-old children in three areas of the United States in 2002: a multisite collaboration. Pediatrics. 2008 Mar;121(3):547-54. doi: 10.1542/peds.2007-1270.
PMID: 18310204BACKGROUNDStanley, F. J., Blair, E., & Alberman, E. (2000). Cerebral palsies: epidemiology and causal pathways (No. 151). Cambridge University Press.
BACKGROUNDCenters for Disease Control and Prevention (CDC). Economic costs associated with mental retardation, cerebral palsy, hearing loss, and vision impairment--United States, 2003. MMWR Morb Mortal Wkly Rep. 2004 Jan 30;53(3):57-9.
PMID: 14749614BACKGROUNDGorin NC, Coiffier B, Hayat M, Fouillard L, Kuentz M, Flesch M, Colombat P, Boivin P, Slavin S, Philip T. Recombinant human granulocyte-macrophage colony-stimulating factor after high-dose chemotherapy and autologous bone marrow transplantation with unpurged and purged marrow in non-Hodgkin's lymphoma: a double-blind placebo-controlled trial. Blood. 1992 Sep 1;80(5):1149-57.
PMID: 1515637BACKGROUNDVan Heest AE, House J, Putnam M. Sensibility deficiencies in the hands of children with spastic hemiplegia. J Hand Surg Am. 1993 Mar;18(2):278-81. doi: 10.1016/0363-5023(93)90361-6.
PMID: 8463594BACKGROUNDCooper J, Majnemer A, Rosenblatt B, Birnbaum R. The determination of sensory deficits in children with hemiplegic cerebral palsy. J Child Neurol. 1995 Jul;10(4):300-9. doi: 10.1177/088307389501000412.
PMID: 7594266BACKGROUNDSanger TD, Kukke SN. Abnormalities of tactile sensory function in children with dystonic and diplegic cerebral palsy. J Child Neurol. 2007 Mar;22(3):289-93. doi: 10.1177/0883073807300530.
PMID: 17621498BACKGROUNDWingert JR, Burton H, Sinclair RJ, Brunstrom JE, Damiano DL. Joint-position sense and kinesthesia in cerebral palsy. Arch Phys Med Rehabil. 2009 Mar;90(3):447-53. doi: 10.1016/j.apmr.2008.08.217.
PMID: 19254610BACKGROUNDRonnqvist L, Rosblad B. Kinematic analysis of unimanual reaching and grasping movements in children with hemiplegic cerebral palsy. Clin Biomech (Bristol). 2007 Feb;22(2):165-75. doi: 10.1016/j.clinbiomech.2006.09.004. Epub 2006 Oct 27.
PMID: 17070630BACKGROUNDWiklund LM, Uvebrant P. Hemiplegic cerebral palsy: correlation between CT morphology and clinical findings. Dev Med Child Neurol. 1991 Jun;33(6):512-23. doi: 10.1111/j.1469-8749.1991.tb14916.x.
PMID: 1864477BACKGROUNDArner M, Eliasson AC, Nicklasson S, Sommerstein K, Hagglund G. Hand function in cerebral palsy. Report of 367 children in a population-based longitudinal health care program. J Hand Surg Am. 2008 Oct;33(8):1337-47. doi: 10.1016/j.jhsa.2008.02.032.
PMID: 18929198BACKGROUNDGordon AM, Bleyenheuft Y, Steenbergen B. Pathophysiology of impaired hand function in children with unilateral cerebral palsy. Dev Med Child Neurol. 2013 Nov;55 Suppl 4:32-7. doi: 10.1111/dmcn.12304.
PMID: 24237277BACKGROUNDSakzewski L, Ziviani J, Boyd R. Systematic review and meta-analysis of therapeutic management of upper-limb dysfunction in children with congenital hemiplegia. Pediatrics. 2009 Jun;123(6):e1111-22. doi: 10.1542/peds.2008-3335. Epub 2009 May 18.
PMID: 19451190BACKGROUNDAnttila H, Autti-Ramo I, Suoranta J, Makela M, Malmivaara A. Effectiveness of physical therapy interventions for children with cerebral palsy: a systematic review. BMC Pediatr. 2008 Apr 24;8:14. doi: 10.1186/1471-2431-8-14.
PMID: 18435840BACKGROUNDCipriany-Dacko LM, Innerst D, Johannsen J, Rude V. Interrater reliability of the Tinetti Balance Scores in novice and experienced physical therapy clinicians. Arch Phys Med Rehabil. 1997 Oct;78(10):1160-4. doi: 10.1016/s0003-9993(97)90145-3.
PMID: 9339170BACKGROUNDKleim JA, Jones TA. Principles of experience-dependent neural plasticity: implications for rehabilitation after brain damage. J Speech Lang Hear Res. 2008 Feb;51(1):S225-39. doi: 10.1044/1092-4388(2008/018).
PMID: 18230848BACKGROUNDKoeneke S, Lutz K, Herwig U, Ziemann U, Jancke L. Extensive training of elementary finger tapping movements changes the pattern of motor cortex excitability. Exp Brain Res. 2006 Sep;174(2):199-209. doi: 10.1007/s00221-006-0440-8. Epub 2006 Apr 8.
PMID: 16604315BACKGROUNDKwakkel G. Impact of intensity of practice after stroke: issues for consideration. Disabil Rehabil. 2006 Jul 15-30;28(13-14):823-30. doi: 10.1080/09638280500534861.
PMID: 16777769BACKGROUNDMajewska AK, Sur M. Plasticity and specificity of cortical processing networks. Trends Neurosci. 2006 Jun;29(6):323-9. doi: 10.1016/j.tins.2006.04.002. Epub 2006 May 11.
PMID: 16697057BACKGROUNDGilliaux M, Renders A, Dispa D, Holvoet D, Sapin J, Dehez B, Detrembleur C, Lejeune TM, Stoquart G. Upper limb robot-assisted therapy in cerebral palsy: a single-blind randomized controlled trial. Neurorehabil Neural Repair. 2015 Feb;29(2):183-92. doi: 10.1177/1545968314541172. Epub 2014 Jul 11.
PMID: 25015650BACKGROUNDWu YN, Hwang M, Ren Y, Gaebler-Spira D, Zhang LQ. Combined passive stretching and active movement rehabilitation of lower-limb impairments in children with cerebral palsy using a portable robot. Neurorehabil Neural Repair. 2011 May;25(4):378-85. doi: 10.1177/1545968310388666. Epub 2011 Feb 22.
PMID: 21343525BACKGROUNDKrebs HI, Ladenheim B, Hippolyte C, Monterroso L, Mast J. Robot-assisted task-specific training in cerebral palsy. Dev Med Child Neurol. 2009 Oct;51 Suppl 4:140-5. doi: 10.1111/j.1469-8749.2009.03416.x.
PMID: 19740222BACKGROUNDColomera JA, Nahuelhual P. [Effectiveness of robotic assistance for gait training in children with cerebral palsy. a systematic review]. Rehabilitacion (Madr). 2020 Apr-Jun;54(2):107-115. doi: 10.1016/j.rh.2019.12.001. Epub 2020 Jan 27. Spanish.
PMID: 32370825BACKGROUNDWu J, Cheng H, Zhang J, Yang S, Cai S. Robot-Assisted Therapy for Upper Extremity Motor Impairment After Stroke: A Systematic Review and Meta-Analysis. Phys Ther. 2021 Apr 4;101(4):pzab010. doi: 10.1093/ptj/pzab010.
PMID: 33454787BACKGROUNDKeizer D, Fael D, Wierda JM, van Wijhe M. Quantitative sensory testing with Von Frey monofilaments in patients with allodynia: what are we quantifying? Clin J Pain. 2008 Jun;24(5):463-6. doi: 10.1097/AJP.0b013e3181673b80.
PMID: 18496312BACKGROUNDKrumlinde-sundholm, L., & Eliasson, A. C. (2003). Development of the Assisting Hand Assessment: a Rasch-built measure intended for children with unilateral upper limb impairments. Scandinavian Journal of Occupational Therapy, 10(1), 16-26.
BACKGROUNDManual Ability Classification System (MACS) http://www.macs.nu/
BACKGROUNDTadel F, Baillet S, Mosher JC, Pantazis D, Leahy RM. Brainstorm: a user-friendly application for MEG/EEG analysis. Comput Intell Neurosci. 2011;2011:879716. doi: 10.1155/2011/879716. Epub 2011 Apr 13.
PMID: 21584256BACKGROUNDGramfort A, Papadopoulo T, Olivi E, Clerc M. OpenMEEG: opensource software for quasistatic bioelectromagnetics. Biomed Eng Online. 2010 Sep 6;9:45. doi: 10.1186/1475-925X-9-45.
PMID: 20819204BACKGROUNDLin FH, Witzel T, Ahlfors SP, Stufflebeam SM, Belliveau JW, Hamalainen MS. Assessing and improving the spatial accuracy in MEG source localization by depth-weighted minimum-norm estimates. Neuroimage. 2006 May 15;31(1):160-71. doi: 10.1016/j.neuroimage.2005.11.054. Epub 2006 Mar 6.
PMID: 16520063BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Christos Papadelis, PhD
Cook Children's Health Care System
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 4, 2024
First Posted
June 10, 2024
Study Start
September 25, 2021
Primary Completion
August 31, 2025
Study Completion
December 31, 2025
Last Updated
June 10, 2024
Record last verified: 2024-05