ECoG based cortical function mapping using general linear model

Electrocorticography (ECoG) is an emerging tool to map brain functions in the context of neurosurgical intervention. Previous mapping methods based on the event related power spectrum are prone to noise. To improve the robustness of cortical function mapping, general linear model (GLM), which has been widely used in the analysis of functional magnetic resonance imaging (fMRI) data, is applied to bandpass filtered ECoG signals from each electrode. For a specific task, electrodes with best fitting parameters of the signal are identified, and the statistical significance of the fitting is mapped on the standard 3D brain model to provide a personalized map of sensorimotor functions. With the analysis of four patients' data, the proposed approach yields consistent results with those obtained by electrical cortical stimulation (ECS), while showing promising performance against noise.

[1]  Rajesh P. N. Rao,et al.  Spectral Changes in Cortical Surface Potentials during Motor Movement , 2007, The Journal of Neuroscience.

[2]  E. Niebur,et al.  Neural Correlates of High-Gamma Oscillations (60–200 Hz) in Macaque Local Field Potentials and Their Potential Implications in Electrocorticography , 2008, The Journal of Neuroscience.

[3]  Jeffrey G. Ojemann,et al.  Electrocorticographic spectral changes associated with ipsilateral individual finger and whole hand movement , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[4]  R. Lesser,et al.  Functional mapping of human sensorimotor cortex with electrocorticographic spectral analysis. II. Event-related synchronization in the gamma band. , 1998, Brain : a journal of neurology.

[5]  R. Lesser,et al.  Functional mapping of human sensorimotor cortex with electrocorticographic spectral analysis. I. Alpha and beta event-related desynchronization. , 1998, Brain : a journal of neurology.

[6]  Eric Leuthardt,et al.  Real-time detection of event-related brain activity , 2008, NeuroImage.

[7]  K Scheffler,et al.  Motor, somatosensory and auditory cortex localization by fMRI and MEG , 1998, Neuroreport.

[8]  Horst Bischof,et al.  A practical procedure for real-time functional mapping of eloquent cortex using electrocorticographic signals in humans , 2009, Epilepsy & Behavior.

[9]  Rajesh P. N. Rao,et al.  Cortical electrode localization from X-rays and simple mapping for electrocorticographic research: The “Location on Cortex” (LOC) package for MATLAB , 2007, Journal of Neuroscience Methods.

[10]  C. Crainiceanu,et al.  Electrocorticographic high gamma activity versus electrical cortical stimulation mapping of naming. , 2005, Brain : a journal of neurology.

[11]  Mitchel S. Berger,et al.  Cortical localization of temporal lobe language sites in patients with gliomas. , 1994 .

[12]  Karl J. Friston,et al.  Statistical parametric maps in functional imaging: A general linear approach , 1994 .

[13]  G. Schalk,et al.  ELECTROCORTICOGRAPHIC FREQUENCY ALTERATION MAPPING: A CLINICAL TECHNIQUE FOR MAPPING THE MOTOR CORTEX , 2007, Neurosurgery.

[14]  Rajesh P. N. Rao,et al.  Real-time functional brain mapping using electrocorticography , 2007, NeuroImage.

[15]  Dennis L Barbour,et al.  Nonuniform High-Gamma (60–500 Hz) Power Changes Dissociate Cognitive Task and Anatomy in Human Cortex , 2011, The Journal of Neuroscience.

[16]  Karl J. Friston,et al.  The colour centre in the cerebral cortex of man , 1989, Nature.