Literature DB >> 22653695

Intracranial EEG surface renderings: new insights into normal and abnormal brain function.

Mark W Youngblood1, Xiao Han, Pue Farooque, Stephen Jhun, Xiaoxiao Bai, Ji Yeoun Yoo, Hyang Woon Lee, Hal Blumenfeld.   

Abstract

Intracranial electro-encephalography (icEEG) provides a unique opportunity to record directly from the human brain and is clinically important for planning epilepsy surgery. However, traditional visual analysis of icEEG is often challenging. The typical simultaneous display of multiple electrode channels can prevent an in-depth understanding of the spatial-time course of brain activity. In recent decades, advances in the field of neuroimaging have provided powerful new tools for the analysis and display of signals in the brain. These methods can now be applied to icEEG to map electrical signal information onto a three-dimensional rendering of a patient's cortex and graphically observe the changes in voltage over time. This approach provides rapid visualization of seizures and normal activity propagating over the brain surface and can also illustrate subtle changes that might be missed by traditional icEEG analysis. In addition, the direct mapping of signal information onto accurate anatomical structures can assist in the precise targeting of sites for epilepsy surgery and help correlate electrical activity with behavior. Bringing icEEG data into a standardized anatomical space will also enable neuroimaging methods of statistical analysis to be applied. As new technologies lead to a dramatic increase in the rate of data acquisition, these novel visualization and analysis techniques will play an important role in processing the valuable information obtained through icEEG.

Entities:  

Keywords:  cortical power projections; data visualization; intracranial EEG

Mesh:

Year:  2012        PMID: 22653695      PMCID: PMC6343473          DOI: 10.1177/1073858412447876

Source DB:  PubMed          Journal:  Neuroscientist        ISSN: 1073-8584            Impact factor:   7.519


  4 in total

1.  Using 3D-Printed Mesh-Like Brain Cortex with Deep Structures for Planning Intracranial EEG Electrode Placement.

Authors:  Ramin Javan; Maureen Schickel; Yuanlong Zhao; Terry Agbo; Cullen Fleming; Parisa Heidari; Taha Gholipour; Donald C Shields; Mohamad Koubeissi
Journal:  J Digit Imaging       Date:  2020-04       Impact factor: 4.056

2.  Seizure localization using three-dimensional surface projections of intracranial EEG power.

Authors:  Hyang Woon Lee; Mark W Youngblood; Pue Farooque; Xiao Han; Stephen Jhun; William C Chen; Irina Goncharova; Kenneth Vives; Dennis D Spencer; Hitten Zaveri; Lawrence J Hirsch; Hal Blumenfeld
Journal:  Neuroimage       Date:  2013-07-11       Impact factor: 6.556

3.  Accuracy of omni-planar and surface casting of epileptiform activity for intracranial seizure localization.

Authors:  Jonathan K Kleen; Benjamin A Speidel; Maxime O Baud; Vikram R Rao; Simon G Ammanuel; Liberty S Hamilton; Edward F Chang; Robert C Knowlton
Journal:  Epilepsia       Date:  2021-02-26       Impact factor: 5.864

4.  Neural correlates of spatial and nonspatial attention determined using intracranial electroencephalographic signals in humans.

Authors:  Ga Young Park; Taekyung Kim; Jinsick Park; Eun Mi Lee; Han Uk Ryu; Sun I Kim; In Young Kim; Joong Koo Kang; Dong Pyo Jang; Masud Husain
Journal:  Hum Brain Mapp       Date:  2016-04-29       Impact factor: 5.038

  4 in total

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