Share Email Print
cover

Proceedings Paper

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
Author(s): 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
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 8 March 2013
PDF: 11 pages
Proc. SPIE 8565, Photonic Therapeutics and Diagnostics IX, 856563 (8 March 2013); doi: 10.1117/12.2004352
Show Author Affiliations
Nathan Hervey, The Univ. of Texas at Arlington (United States)
Bilal Khan, The Univ. of Texas at Arlington (United States)
Laura Shagman, The Univ. of Texas at Dallas (United States)
Fenghua Tian, The Univ. of Texas at Arlington (United States)
Mauricio R. Delgado, Texas Scottish Rite Hospital for Children (United States)
Kirsten Tulchin-Francis, Texas Scottish Rite Hospital for Children (United States)
Angela Shierk, Texas Scottish Rite Hospital for Children (United States)
Linsley Smith, Texas Scottish Rite Hospital for Children (United States)
Dahlia Reid, Texas Scottish Rite Hospital for Children (United States)
Nancy J. Clegg, Texas Scottish Rite Hospital for Children (United States)
Hanli Liu, The Univ. of Texas at Arlington (United States)
Duncan MacFarlane, The Univ. of Texas at Dallas (United States)
George Alexandrakis, The Univ. of Texas at Arlington (United States)


Published in SPIE Proceedings Vol. 8565:
Photonic Therapeutics and Diagnostics IX
Andreas Mandelis; Brian Jet-Fei Wong; Anita Mahadevan-Jansen; Henry Hirschberg M.D.; Hyun Wook Kang; Nikiforos Kollias; Melissa J. Suter; Kenton W. Gregory M.D.; Guillermo J. Tearney M.D.; Stephen Lam; Bernard Choi; Steen J. Madsen; Bodo E. Knudsen M.D.; E. Duco Jansen; Justus F. Ilgner M.D.; Haishan Zeng; Matthew Brenner; Laura Marcu, Editor(s)

© SPIE. Terms of Use
Back to Top