Translation of near infrared brain imaging to assess children with cerebral palsy

George Alexandrakis, Bilal Khan, Fenghua Tian, Nayan Asanani, Khosrow Behbehani, Mauricio R. Delgado, Hanli Liu

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

1 Scopus citations


Cerebral palsy (CP) is the most common motor disorder of central origin in childhood and affects at least 2 children per 1000 live births every year. Neuroimaging techniques are needed to study neuroplastic rearrangements in the human brain in vivo as a result of CP. Unfortunately, accurate imaging from currently available techniques often requires the patients complete body confinement, steadiness and minimal noise for a long period of time, which limits the success rate to less than 50% for normal children and worse for CP-affected ones. In this work we show that functional near infrared (fNIR) imaging is robust to motion artifacts and has excellent potential as a sensitive diagnostic tool for this motor disorder. We have analyzed data from pediatric normal and CP patients performing finger-tapping and handwaving motor cortex activation tasks. From these analyses we have identified both spatial and temporal metrics of NIRbased motor cortex activation patterns that can clearly distinguish between normal and CP patients. We also present data from additional patients where signal processing methods are applied to filter out concurrently recorded hemodynamic signals due to breathing and cardiac pulsation. It is shown that filtering can substantially improve the quality of activation data, thus enabling more accurate comparison of activation patterns between normal and CP-affected children.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
StatePublished - 2009
EventPhotons and Neurons - San Jose, CA, United States
Duration: Jan 25 2009Jan 26 2009


OtherPhotons and Neurons
Country/TerritoryUnited States
CitySan Jose, CA


  • Activation studies
  • Brain imaging
  • Cerebral palsy
  • Diffusion
  • Motor cortex
  • Near-infrared

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics


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