Motion tracking and electromyography-assisted identification of mirror hand contributions to functional near-infrared spectroscopy images acquired during a finger-tapping task performed by children with cerebral palsy

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dc.contributor.authorHervey, Nathan
dc.contributor.authorKhan, Bilal
dc.contributor.authorShagman, Laura
dc.contributor.authorTian, Fenghua
dc.contributor.authorDelgado, Mauricio R.
dc.contributor.authorTulchin-Francis, Kirsten
dc.contributor.authorShierk, Angela
dc.contributor.authorRoberts, Heather
dc.contributor.authorSmith, Linsley
dc.contributor.authorRoberts, Dahlia
dc.contributor.authorClegg, Nancy J.
dc.contributor.authorLiu, Hanli
dc.contributor.authorMacFarlane, Duncan
dc.contributor.authorAlexandrakis, George
dc.creator.orcidhttps://orcid.org/0000-0003-2670-4981
dc.date.accessioned2023-03-17T16:36:58Z
dc.date.available2023-03-17T16:36:58Z
dc.date.issued2014
dc.descriptionArticle originally published in Neurophotonics, 1(2), 025009. Published online 2014. https://doi.org/10.1117/1.nph.1.2.025009
dc.description.abstractRecent studies have demonstrated functional near-infrared spectroscopy (fNIRS) to be a viable and sensitive method for imaging sensorimotor cortex activity in children with cerebral palsy (CP). However, during unilateral finger tapping, children with CP often exhibit unintended motions in the nontapping hand, known as mirror motions, which confuse the interpretation of resulting fNIRS images. This work presents a method for separating some of the mirror motion contributions to fNIRS images and demonstrates its application to fNIRS data from four children with CP performing a finger-tapping task with mirror motions. Finger motion and arm muscle activity were measured simultaneously with fNIRS signals using motion tracking and electromyography (EMG), respectively. Subsequently, subject-specific regressors were created from the motion capture or EMG data and independent component analysis was combined with a general linear model to create an fNIRS image representing activation due to the tapping hand and one image representing activation due to the mirror hand. The proposed method can provide information on how mirror motions contribute to fNIRS images, and in some cases, it helps remove mirror motion contamination from the tapping hand activation images.en_US
dc.identifier.citationThis is a published version of an article that is available at https://doi.org/10.1117/1.nph.1.2.025009. Recommended citation: Hervey, N., Khan, B., Shagman, L., Tian, F., Delgado, M. R., Tulchin-Francis, K., Shierk, A., Roberts, H., Smith, L., Reid, D., Clegg, N. J., Liu, H., MacFarlane, D., & Alexandrakis, G. (2014). Motion tracking and electromyography-assisted identification of mirror hand contributions to functional near-infrared spectroscopy images acquired during a finger-tapping task performed by children with cerebral palsy. Neurophotonics, 1(2), 025009. This item has been deposited in accordance with publisher copyright and licensing terms and with the author’s permission.en_US
dc.identifier.urihttps://hdl.handle.net/11274/14685
dc.identifier.urihttps://doi.org/10.1117/1.nph.1.2.025009
dc.language.isoen_USen_US
dc.publisherSociety of Photo-optical Instrumentation Engineers (SPIE)en_US
dc.rights.holder© The Authors
dc.rights.licenseCC BY 3.0
dc.subjectMirrorsen_US
dc.subjectElectromyographyen_US
dc.subjectIndependent component analysisen_US
dc.subjectBrainen_US
dc.subjectHemodynamicsen_US
dc.subjectNear infrared spectroscopyen_US
dc.subjectSensorsen_US
dc.titleMotion tracking and electromyography-assisted identification of mirror hand contributions to functional near-infrared spectroscopy images acquired during a finger-tapping task performed by children with cerebral palsyen_US
dc.typeArticleen_US

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