1
|
Davis TS, Caston RM, Philip B, Charlebois CM, Anderson DN, Weaver KE, Smith EH, Rolston JD. LeGUI: A Fast and Accurate Graphical User Interface for Automated Detection and Anatomical Localization of Intracranial Electrodes. Front Neurosci 2021; 15:769872. [PMID: 34955721 PMCID: PMC8695687 DOI: 10.3389/fnins.2021.769872] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 11/18/2021] [Indexed: 11/24/2022] Open
Abstract
Accurate anatomical localization of intracranial electrodes is important for identifying the seizure foci in patients with epilepsy and for interpreting effects from cognitive studies employing intracranial electroencephalography. Localization is typically performed by coregistering postimplant computed tomography (CT) with preoperative magnetic resonance imaging (MRI). Electrodes are then detected in the CT, and the corresponding brain region is identified using the MRI. Many existing software packages for electrode localization chain together separate preexisting programs or rely on command line instructions to perform the various localization steps, making them difficult to install and operate for a typical user. Further, many packages provide solutions for some, but not all, of the steps needed for confident localization. We have developed software, Locate electrodes Graphical User Interface (LeGUI), that consists of a single interface to perform all steps needed to localize both surface and depth/penetrating intracranial electrodes, including coregistration of the CT to MRI, normalization of the MRI to the Montreal Neurological Institute template, automated electrode detection for multiple types of electrodes, electrode spacing correction and projection to the brain surface, electrode labeling, and anatomical targeting. The software is written in MATLAB, core image processing is performed using the Statistical Parametric Mapping toolbox, and standalone executable binaries are available for Windows, Mac, and Linux platforms. LeGUI was tested and validated on 51 datasets from two universities. The total user and computational time required to process a single dataset was approximately 1 h. Automatic electrode detection correctly identified 4362 of 4695 surface and depth electrodes with only 71 false positives. Anatomical targeting was verified by comparing electrode locations from LeGUI to locations that were assigned by an experienced neuroanatomist. LeGUI showed a 94% match with the 482 neuroanatomist-assigned locations. LeGUI combines all the features needed for fast and accurate anatomical localization of intracranial electrodes into a single interface, making it a valuable tool for intracranial electrophysiology research.
Collapse
Affiliation(s)
- Tyler S Davis
- Department of Neurosurgery, University of Utah, Salt Lake City, UT, United States
| | - Rose M Caston
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States
| | - Brian Philip
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States
| | - Chantel M Charlebois
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States
| | - Daria Nesterovich Anderson
- Department of Neurosurgery, University of Utah, Salt Lake City, UT, United States.,Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, UT, United States
| | - Kurt E Weaver
- Department of Radiology, University of Washington, Seattle, WA, United States.,Department of Biological Structure, University of Washington, Seattle, WA, United States
| | - Elliot H Smith
- Department of Neurosurgery, University of Utah, Salt Lake City, UT, United States
| | - John D Rolston
- Department of Neurosurgery, University of Utah, Salt Lake City, UT, United States.,Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States
| |
Collapse
|
2
|
Ming Q, Ma H, Li J, Yang F, Li J, Liang J, Li D, Lin W. Changes in autonomic nervous function and influencing factors in a rat insular cortex electrical kindling model. Neurosci Lett 2020; 721:134782. [PMID: 31978496 DOI: 10.1016/j.neulet.2020.134782] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 11/26/2019] [Accepted: 01/20/2020] [Indexed: 11/30/2022]
Abstract
In mammals, the insular cortex plays an important role in autonomic regulation. In patients with insular epilepsy, seizures are always accompanied by autonomic changes. Accordingly, we aimed to establish an electrical kindling model in autonomic-mediating areas of the insular cortex, and to conduct a long-term observation of epileptic genesis in these animals until sudden unexpected death. To establish this model in adult rats, we implanted stimulation electrodes in the granular cell layer of the insular cortex, which controls the heart rate (HR) and respiratory rate (RR). Subsequently, seizure was induced successfully in 92.3 % of the rats, and typical autonomic changes were observed during these seizures. Interestingly, the model was established more easily in older rats, and the rats in which electrical stimulation led to a greater reduction in the HR. Moreover, death occurred in 25 % of the kindled rats. In conclusion, our kindling model demonstrates the ability of insular cortex stimulation to generate epilepsy. Our model thus offers a practical tool for studies of the role of the insular cortex in sudden unexpected death in epilepsy.
Collapse
Affiliation(s)
- Qianwen Ming
- Department of Neurology and Neuroscience Center, First Hospital of Jilin University, Changchun 130021, China
| | - Hongtao Ma
- Department of Neurology and Neuroscience Center, First Hospital of Jilin University, Changchun 130021, China; Department of Neurological Surgery, Weill Medical College of Cornell University, New York Presbyterian Hospital, New York, NY 10021, USA; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China
| | - Jia Li
- Department of Neurology and Neuroscience Center, First Hospital of Jilin University, Changchun 130021, China
| | - Fan Yang
- Department of Neurology and Neuroscience Center, First Hospital of Jilin University, Changchun 130021, China
| | - Jing Li
- Department of Neurology and Neuroscience Center, First Hospital of Jilin University, Changchun 130021, China
| | - Jianmin Liang
- Department of Pediatrics, First Hospital of Jilin University, Changchun 130021, China
| | - Dan Li
- Department of Radiology, First Hospital of Jilin University, Changchun 130021, China
| | - Weihong Lin
- Department of Neurology and Neuroscience Center, First Hospital of Jilin University, Changchun 130021, China.
| |
Collapse
|
3
|
Kinno R, Mori Y, Kubota S, Nomoto S, Futamura A, Shiromaru A, Kuroda T, Yano S, Ishigaki S, Murakami H, Baba Y, Ono K. High serum high-density lipoprotein-cholesterol is associated with memory function and gyrification of insular and frontal opercular cortex in an elderly memory-clinic population. Neuroimage Clin 2019; 22:101746. [PMID: 30856540 PMCID: PMC6411909 DOI: 10.1016/j.nicl.2019.101746] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Revised: 02/05/2019] [Accepted: 03/02/2019] [Indexed: 12/03/2022]
Abstract
The issue of whether serum lipid marker values are cognitively and neurologically significant for elderly individuals attending a memory clinic has been controversial. We investigated the associations of serum lipid markers with the memory function and cortical structure in 52 patients aged ≥75 years who had attended our memory clinic based on their subjective memory complaints. None had a history of medication for hyperlipidemia. The Wechsler Memory Scale-Revised (WMS-R) was administered to all patients for the assessment of their memory function. Serum low-density lipoprotein cholesterol, high-density lipoprotein cholesterol (HDLC), and triglyceride (TG) were measured for each patient. Surface-based morphometry (SBM) was performed for the calculation of each patient's cortical thickness and gyrification index based on structural MRI data. Our analyses revealed that the serum HDLC level was positively and significantly correlated with the WMS-R subtests of visual paired associates I/II and logical memory I (p < 0.05). The serum TG level was negatively correlated with the logical memory I subtest. The SBM results showed positive correlations between the serum HDLC level and the gyrification indices of the bilateral insular and frontal opercular cortices, and those two gyrification indices were positively correlated with the logical memory I and visual paired associates I/II. These results suggest that in these elderly patients, a high serum HDLC level was associated with not only preserved memory function but also gyrification of the insular and frontal opercular cortex. We conclude that elderly individuals' serum lipid markers should be carefully assessed in memory clinic settings, because serum HDLC may be a biomarker for memory function and cortical structure.
Collapse
Affiliation(s)
- Ryuta Kinno
- Department of Neurology, Showa University Fujigaoka Hospital, 1-30 Fujigaoka Aoba-ku, Yokohama-Shi, Kanagawa 227-8501, Japan.
| | - Yukiko Mori
- Division of Neurology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8666, Japan
| | - Satomi Kubota
- Division of Neurology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8666, Japan
| | - Shohei Nomoto
- Department of Neurology, Showa University Fujigaoka Hospital, 1-30 Fujigaoka Aoba-ku, Yokohama-Shi, Kanagawa 227-8501, Japan
| | - Akinori Futamura
- Division of Neurology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8666, Japan
| | - Azusa Shiromaru
- Division of Neurology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8666, Japan
| | - Takeshi Kuroda
- Division of Neurology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8666, Japan
| | - Satoshi Yano
- Division of Neurology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8666, Japan
| | - Seiichiro Ishigaki
- Division of Neurology, Department of Internal Medicine, Showa University Northern Yokohama Hospital, 35-1 Chigasaki-chuo Tsuzuki-ku, Yokohama-Shi, Kanagawa 224-8503, Japan
| | - Hidetomo Murakami
- Division of Neurology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8666, Japan
| | - Yasuhiko Baba
- Department of Neurology, Showa University Fujigaoka Hospital, 1-30 Fujigaoka Aoba-ku, Yokohama-Shi, Kanagawa 227-8501, Japan
| | - Kenjiro Ono
- Division of Neurology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8666, Japan.
| |
Collapse
|