Motion tracking and electromyography assist the removal of mirror hand contributions to fNIRS images acquired during a finger tapping task performed by children with cerebral palsy

Nathan Hervey, Bilal Khan, Laura Shagman, Fenghua Tian, Mauricio R. Delgado, Kirsten Tulchin-Francis, Angela Shierk, Linsley Smith, Dahlia Reid, Nancy J. Clegg, Hanli Liu, Duncan MacFarlane, George Alexandrakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Functional neurological imaging has been shown to be valuable in evaluating brain plasticity in children with cerebral palsy (CP). In recent studies it has been demonstrated that functional near-infrared spectroscopy (fNIRS) is a viable and sensitive method for imaging motor cortex activities in children with CP. However, during unilateral finger tapping tasks children with CP often exhibit mirror motions (unintended motions in the non-tapping hand), and current fNIRS image formation techniques do not account for this. Therefore, the resulting fNIRS images contain activation from intended and unintended motions. In this study, cortical activity was mapped with fNIRS on four children with CP and five controls during a finger tapping task. Finger motion and arm muscle activation were concurrently measured using motion tracking cameras and electromyography (EMG). Subject-specific regressors were created from motion capture and EMG data and used in a general linear model (GLM) analysis in an attempt to create fNIRS images representative of different motions. The analysis provided an fNIRS image representing activation due to motion and muscle activity for each hand. This method could prove to be valuable in monitoring brain plasticity in children with CP by providing more consistent images between measurements. Additionally, muscle effort versus cortical effort was compared between control and CP subjects. More cortical effort was required to produce similar muscle effort in children with CP. It is possible this metric could be a valuable diagnostic tool in determining response to treatment.

Original languageEnglish (US)
Title of host publicationPhotonic Therapeutics and Diagnostics IX
DOIs
StatePublished - May 30 2013
EventPhotonic Therapeutics and Diagnostics IX - San Francisco, CA, United States
Duration: Feb 2 2013Feb 7 2013

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume8565
ISSN (Print)1605-7422

Other

OtherPhotonic Therapeutics and Diagnostics IX
CountryUnited States
CitySan Francisco, CA
Period2/2/132/7/13

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Keywords

  • Cerebral palsy
  • Functional near-infrared spectroscopy
  • General linear model
  • Rehabilitation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

Cite this

Hervey, N., Khan, B., Shagman, L., Tian, F., Delgado, M. R., Tulchin-Francis, K., Shierk, A., Smith, L., Reid, D., Clegg, N. J., Liu, H., MacFarlane, D., & Alexandrakis, G. (2013). Motion tracking and electromyography assist the removal of mirror hand contributions to fNIRS images acquired during a finger tapping task performed by children with cerebral palsy. In Photonic Therapeutics and Diagnostics IX [856563] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 8565). https://doi.org/10.1117/12.2004352