Three-dimensional Brain Mapping: A Multi-Modal Imaging for Advanced Surgical Planning
Poster No:
1718
Submission Type:
Abstract Submission
Authors:
Vanessa Sun1, Emma Acerbo2, Richard Hou1, Adam Dickey2, Daniel Drane2,3,4
Institutions:
1Emory College of Arts and Sciences, Emory University, Atlanta, GA, 2Department of Neurology, Emory School of Medicine, Atlanta, GA, 3Department of Neurosurgery, Emory School of Medicine, Atlanta, GA, 4Department of Neurology, University of Washington School of Medicine, Seattle, WA
First Author:
Co-Author(s):
Daniel Drane, PhD
Department of Neurology, Emory School of Medicine|Department of Neurosurgery, Emory School of Medicine|Department of Neurology, University of Washington School of Medicine
Atlanta, GA|Atlanta, GA|Seattle, WA
Department of Neurology, Emory School of Medicine|Department of Neurosurgery, Emory School of Medicine|Department of Neurology, University of Washington School of Medicine
Atlanta, GA|Atlanta, GA|Seattle, WA
Introduction:
Epilepsy affects 1% of the world's population, with 30% of these patients suffering from drug-resistant epilepsy. To reduce seizures, it is crucial to define the seizure onset zone for surgical removal. However, preserving cognitive functions in neighboring regions remains a challenge. Electrical stimulation mapping has been used for decades to protect language regions in epilepsy surgery, but the technique typically continues to rely on two-dimensional maps for planning. With the increasing use of stereoelectroencephalography (SEEG), it is now possible to investigate cognitive functions deep in the brain. We aim to develop a three-dimensional (3D) model of functional organization in the human brain. Such maps would significantly improve pre-surgical planning, help predict cognitive outcomes, and provide a detailed guide for assessing impaired functions in patients following stimulation.
Methods:
Data were collected from 30 epilepsy patients who underwent pre-surgical evaluation. This included CT and MRI scans, detailed records of SEEG implantation and stimulation sessions. CT and MRI scans were co-registered and SEEG coordinates were exported onto the MNI brain template to establish a common reference frame. We generated clusters by grouping SEEG contacts that were stimulated within a 10mm³ region across different patients. Then each cluster were assigned to its corresponding brain region using an atlas (AALS 3). This was then used to generate 3D model maps for 5 modalities (including visual and auditory naming, affective, language and sensory processing).
Results:
We identified and analyzed clusters of brain regions implicated in cognitive disruptions following electrical stimulation. Language processing disruptions were observed in 8 clusters, in the middle and superior temporal gyri, Rolandic operculum, postcentral gyrus, and temporal pole, affecting 5 patients. Visual naming disruptions were associated with 12 clusters, involving regions such as the frontal inferior triangularis, postcentral and supramarginal gyrus, superior, middle and inferior temporal gyri, occipital mid gyrus, insula, hippocampus, and frontal inferior operculum, affecting 6 patients. Similarly, we analyzed auditory naming, auditory comprehension, visuo-perceptual processing, affective and sensory processing, identifying 2, 2, 1, 3, and 6 clusters respectively.
·Clusters of brain regions associated with cognitive disruptions post-stimulation.
Conclusions:
3D brain maps visualize cognitive functions and provide reference points for surgery, offering clinical specialists insights into critical brain functions and surgical risks. Further cognitive domains could be explored, especially around memory. As more patients are included, additional clusters are likely to be identified, leading to a more precise mapping of the brain regions involved. This will also enable to discern patterns, such as differences in brain regions associated with specific tasks, like visual naming of objects versus visual naming of famous persons. Additionally, multisite collaborations to expand the number of patient included would be beneficial, allowing for further standardization of this project.
Modeling and Analysis Methods:
Connectivity (eg. functional, effective, structural) 2
Neuroanatomy, Physiology, Metabolism and Neurotransmission:
Cortical Anatomy and Brain Mapping 1
Keywords:
Cognition
Computed Tomography (CT)
Language
STRUCTURAL MRI
Other - Assessing Cognitive Modalities; Aid for Surgery Planning
1|2Indicates the priority used for review
Abstract Information
By submitting your proposal, you grant permission for the Organization for Human Brain Mapping (OHBM) to distribute your work in any format, including video, audio print and electronic text through OHBM OnDemand, social media channels, the OHBM website, or other electronic publications and media.
The Open Science Special Interest Group (OSSIG) is introducing a reproducibility challenge for OHBM 2025. This new initiative aims to enhance the reproducibility of scientific results and foster collaborations between labs. Teams will consist of a “source” party and a “reproducing” party, and will be evaluated on the success of their replication, the openness of the source work, and additional deliverables. Click here for more information. Propose your OHBM abstract(s) as source work for future OHBM meetings by selecting one of the following options:
Please indicate below if your study was a "resting state" or "task-activation” study.
Healthy subjects only or patients (note that patient studies may also involve healthy subjects):
Was this research conducted in the United States?
Are you Internal Review Board (IRB) certified? Please note: Failure to have IRB, if applicable will lead to automatic rejection of abstract.
Were any human subjects research approved by the relevant Institutional Review Board or ethics panel? NOTE: Any human subjects studies without IRB approval will be automatically rejected.
Were any animal research approved by the relevant IACUC or other animal research panel? NOTE: Any animal studies without IACUC approval will be automatically rejected.
Please indicate which methods were used in your research:
Provide references using APA citation style.
2. Ojemann, G. A. (1983). Brain organization for language from the perspective of electrical stimulation mapping. Behavioral and Brain Sciences, 6, 189–206.
3. Medina Villalon, S., Paz, R., Roehri, N., Lagarde, S., Pizzo, F., Colombet, B., Bartolomei, F., Carron, R., & Bénar, C.-G. (2018). EpiTools: A software suite for presurgical brain mapping in epilepsy: Intracerebral EEG. Journal of Neuroscience Methods, 303, 7–15. https://doi.org/10.1016/j.jneumeth.2018.03.018