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Kuo CH, Casimo K, Wu J, Collins K, Rice P, Chen BW, Yang SH, Lo YC, Novotny EJ, Weaver KE, Chen YY, Ojemann JG. Electrocorticography to Investigate Age-Related Brain Lateralization on Pediatric Motor Inhibition. Front Neurol 2022; 13:747053. [PMID: 35330804 PMCID: PMC8940229 DOI: 10.3389/fneur.2022.747053] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Accepted: 01/24/2022] [Indexed: 11/24/2022] Open
Abstract
Response inhibition refers to the ability to suppress inappropriate actions that interfere with goal-driven behavior. The inferior frontal gyrus (IFG) is known to be associated with inhibition of a motor response by assuming executive control over motor cortex outputs. This study aimed to evaluate the pediatric development of response inhibition through subdural electrocorticography (ECoG) recording. Subdural ECoG recorded neural activities simultaneously during a Go/No-Go task, which was optimized for children. Different frequency power [theta: 4–8 Hz; beta: 12–40 Hz; high-gamma (HG): 70–200 Hz] was estimated within the IFG and motor cortex. Age-related analysis was computed by each bandpass power ratio between Go and No-Go conditions, and phase-amplitude coupling (PAC) over IFG by using the modulating index metric in two conditions. For all the eight pediatric patients, HG power was more activated in No-Go trials than in Go trials, in either right- or left-side IFG when available. In the IFG region, the power over theta and HG in No-Go conditions was higher than those in Go conditions, with significance over the right side (p < 0.05). The age-related lateralization from both sides to the right side was observed from the ratio of HG power and PAC value between the No-Go and Go trials. In the pediatric population, the role of motor inhibition was observed in both IFG, with age-related lateralization to the right side, which was proved in the previous functional magnetic resonance imaging studies. In this study, the evidence correlation of age and response inhibition was observed directly by the evidence of cortical recordings.
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Affiliation(s)
- Chao-Hung Kuo
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan.,School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.,Department of Neurological Surgery, University of Washington, Seattle, WA, United States
| | - Kaitlyn Casimo
- Graduate Program in Neuroscience, Center for Neurotechnology, University of Washington, Seattle, WA, United States
| | - Jing Wu
- Department of Bioengineering, Center for Neurotechnology, University of Washington, Seattle, WA, United States
| | - Kelly Collins
- Department of Neurological Surgery, University of Washington, Seattle, WA, United States.,Department of Neurological Surgery, Oregon Health & Science University, Portland, OR, United States
| | - Patrick Rice
- Department of Psychology, Institute for Learning and Brain Sciences, University of Washington, Seattle, WA, United States
| | - Bo-Wei Chen
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Shih-Hung Yang
- Department of Mechanical Engineering, National Cheng Kung University, Tainan, Taiwan
| | - Yu-Chun Lo
- The Ph.D. Program for Neural Regenerative Medicine, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Edward J Novotny
- Departments of Neurology and Pediatrics, University of Washington, Seattle, WA, United States.,Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA, United States
| | - Kurt E Weaver
- Department of Radiology, Integrated Brain Imaging Center, University of Washington, Seattle, WA, United States.,Center for Neurotechnology, University of Washington, Seattle, WA, United States
| | - You-Yin Chen
- Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan.,The Ph.D. Program for Neural Regenerative Medicine, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Jeffrey G Ojemann
- Department of Neurological Surgery, University of Washington, Seattle, WA, United States.,Center for Neurotechnology, University of Washington, Seattle, WA, United States.,Departments of Surgery, Seattle Children's Hospital, Seattle, WA, United States
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Evaluation of Stationary Wavelet Transforms in Reconstruction of Pure High Frequency Oscillations (HFOs). LECTURE NOTES IN COMPUTER SCIENCE 2020. [PMCID: PMC7313276 DOI: 10.1007/978-3-030-51517-1_32] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
High frequency oscillations (HFO) from, MEG (magnetoencephalography) and intracerebral EEG are considered as effective tools to identify cognitive status and several cortical disorders especially in epilepsy diagnosis.
The aim of our study is to evaluate stationary wavelet transform (SWT) technique performance in efficient reconstruction of pure epileptic high frequency oscillations, reputed as biomarkers of epileptogenic zones: generators of inter ictal epileptic discharges, and offhand seizures. We applied SWT on simulated and real database to detect non-contaminated HFO by spiky element. For simulated data, we computed the GOF of reconstruction that reaches for all studied constraint (relative amplitude, frequency, SNR and overlap) a promising results. For real data we used time frequency domain to evaluate SWT robustness of HFO reconstruction. We proved that SWT is an efficient filtering technique for separation HFO from spiky events. Our results would have an important impact on the definition of epileptogenic zones.
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