TY - GEN
T1 - A canonical visualization tool for SEEG electrodes
AU - Huang, Harvey
AU - Valencia, Gabriela Ojeda
AU - Hermes, Dora
AU - Miller, Kai J.
N1 - Funding Information:
This work was supported by the Van Wagenen Fellowship, the Foundation for OCD Research, the Brain Research Foundation with a Fay/Frank Seed Grant, the Brain and Behavior Research Foundation with a NARSAD Young Investigator Grant, and NIH-NIMH CRCNS R01MH122258-01 and NIH-NCATS CTSA KL2 TR002379.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Stereoencephalographic (SEEG) electrodes are clinically implanted into the brains of patients with refractory epilepsy to locate foci of seizure onset. They are increasingly used in neurophysiology research to determine focal human brain activity in response to tasks or stimuli. Clear visualization of SEEG electrode location with respect to patient anatomy on magnetic resonance image (MRI) scan is vital to neuroscientific understanding. An intuitive way to accomplish this is to plot brain activity and labels at electrode locations on closest MRI slices along the canonical axial, coronal, and sagittal planes. Therefore, we've developed an open-source software tool in Matlab for visualizing SEEG electrode positions, determined from computed tomography (CT), onto canonical planes of resliced brain MRI. The code and graphical user interface are available at: https://github.com/MultimodalNeuroimagingLab/mnl-seegviewClinical Relevance - This tool enables precise communication of SEEG electrode activity and location by visualization on slices of MRI in canonical axial, coronal, and sagittal planes.
AB - Stereoencephalographic (SEEG) electrodes are clinically implanted into the brains of patients with refractory epilepsy to locate foci of seizure onset. They are increasingly used in neurophysiology research to determine focal human brain activity in response to tasks or stimuli. Clear visualization of SEEG electrode location with respect to patient anatomy on magnetic resonance image (MRI) scan is vital to neuroscientific understanding. An intuitive way to accomplish this is to plot brain activity and labels at electrode locations on closest MRI slices along the canonical axial, coronal, and sagittal planes. Therefore, we've developed an open-source software tool in Matlab for visualizing SEEG electrode positions, determined from computed tomography (CT), onto canonical planes of resliced brain MRI. The code and graphical user interface are available at: https://github.com/MultimodalNeuroimagingLab/mnl-seegviewClinical Relevance - This tool enables precise communication of SEEG electrode activity and location by visualization on slices of MRI in canonical axial, coronal, and sagittal planes.
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U2 - 10.1109/EMBC46164.2021.9630724
DO - 10.1109/EMBC46164.2021.9630724
M3 - Conference contribution
C2 - 34892526
AN - SCOPUS:85122549195
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 6175
EP - 6178
BT - 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021
Y2 - 1 November 2021 through 5 November 2021
ER -