Arrow Research search

Author name cluster

Gerard E. Francisco

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

2 papers
2 author rows

Possible papers

2

YNICL Journal 2020 Journal Article

Neural activity modulations and motor recovery following brain-exoskeleton interface mediated stroke rehabilitation

  • Nikunj A. Bhagat
  • Nuray Yozbatiran
  • Jennifer L. Sullivan
  • Ruta Paranjape
  • Colin Losey
  • Zachary Hernandez
  • Zafer Keser
  • Robert Grossman

Brain-machine interfaces (BMI) based on scalp EEG have the potential to promote cortical plasticity following stroke, which has been shown to improve motor recovery outcomes. However, the efficacy of BMI enabled robotic training for upper-limb recovery is seldom quantified using clinical, EEG-based, and kinematics-based metrics. Further, a movement related neural correlate that can predict the extent of motor recovery still remains elusive, which impedes the clinical translation of BMI-based stroke rehabilitation. To address above knowledge gaps, 10 chronic stroke individuals with stable baseline clinical scores were recruited to participate in 12 therapy sessions involving a BMI enabled powered exoskeleton for elbow training. On average, 132 ± 22 repetitions were performed per participant, per session. BMI accuracy across all sessions and subjects was 79 ± 18% with a false positives rate of 23 ± 20%. Post-training clinical assessments found that FMA for upper extremity and ARAT scores significantly improved over baseline by 3.92 ± 3.73 and 5.35 ± 4.62 points, respectively. Also, 80% participants (7 with moderate-mild impairment, 1 with severe impairment) achieved minimal clinically important difference (MCID: FMA-UE >5.2 or ARAT >5.7) during the course of the study. Kinematic measures indicate that, on average, participants' movements became faster and smoother. Moreover, modulations in movement related cortical potentials, an EEG-based neural correlate measured contralateral to the impaired arm, were significantly correlated with ARAT scores (ρ = 0.72, p < 0.05) and marginally correlated with FMA-UE (ρ = 0.63, p = 0.051). This suggests higher activation of ipsi-lesional hemisphere post-intervention or inhibition of competing contra-lesional hemisphere, which may be evidence of neuroplasticity and cortical reorganization following BMI mediated rehabilitation therapy.

IROS Conference 2011 Conference Paper

Spatial and temporal movement characteristics after robotic training of arm and hand: A case study of a person with incomplete spinal cord injury

  • Dillon P. Eng
  • Zahra Kadivar
  • Jennifer L. Sullivan
  • Ali Utku Pehlivan
  • Marcia K. O'Malley
  • Gerard E. Francisco
  • Nuray Yozbatiran

Background: Upper limb weakness is the primary concern of tetraplegic individuals who have sustained incomplete spinal cord injury (SCI), to an extent that it is considered more important than standing abilities. Recent evidence of the plasticity of the brain and the spinal cord that can be enhanced by repeated practice- such as that available with robotic devices- suggest that robotic training of upper limbs can be beneficial to persons with SCI. The goal of this pilot study was to evaluate an innovative rehabilitation technique using the RiceWrist, a newly developed robotic device, for a person with tetraplegia. A 24-year-old male with incomplete SCI at the C4 level, 6. 5 months post-injury participated in 10 sessions of robotic training over 2 weeks. Variability of movement trajectory (spatial) and the time to complete (temporal) simple point-to-point wrist and forearm movements were collected before and after training completion to determine skill acquisition. The participant successfully completed 10 sessions of robotic training. While there were minimal changes in variability of movement trajectory, great improvements were observed for the average movement time for the majority of wrist and forearm movements. Overall, results suggest that the RiceWrist robotic device could be used for upper-limb rehabilitation and can potentially serve as an assessment tool for the SCI population.