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Journal articles on the topic 'Noninvasive Scalp Electroencephalogram'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Kang, Byeong-Cheol, and Tae-Jun Ha. "Noninvasive electroencephalogram sensors based on all-solution-processed trapezoidal electrode array." Applied Physics Letters 120, no. 21 (2022): 213301. http://dx.doi.org/10.1063/5.0087848.

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Conventional wet electrodes, such as a silver/silver chloride electrode, are limited for electroencephalogram (EEG) sensors directly attached to the scalp with existing hair due to their incomplete contact and increased impedance. In this study, an all-solution-processed trapezoidal electrode array is demonstrated for highly sensitive and reliable detection of EEG signals even when in direct contact with the scalp. The proposed noninvasive EEG sensors based on nanocomposites consisting of single-wall carbon nanotube random networks incorporated into a gelatin matrix exhibited a relatively low

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Liu, Junchen, Sen Lin, Wenzheng Li, et al. "Ten-Hour Stable Noninvasive Brain-Computer Interface Realized by Semidry Hydrogel-Based Electrodes." Research 2022 (March 10, 2022): 1–12. http://dx.doi.org/10.34133/2022/9830457.

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Noninvasive brain-computer interface (BCI) has been extensively studied from many aspects in the past decade. In order to broaden the practical applications of BCI technique, it is essential to develop electrodes for electroencephalogram (EEG) collection with advanced characteristics such as high conductivity, long-term effectiveness, and biocompatibility. In this study, we developed a silver-nanowire/PVA hydrogel/melamine sponge (AgPHMS) semidry EEG electrode for long-lasting monitoring of EEG signal. Benefiting from the water storage capacity of PVA hydrogel, the electrolyte solution can be

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Zhang, Tao, Jichi Chen, Enqiu He, and Hong Wang. "Sample-Entropy-Based Method for Real Driving Fatigue Detection with Multichannel Electroencephalogram." Applied Sciences 11, no. 21 (2021): 10279. http://dx.doi.org/10.3390/app112110279.

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Safe driving plays a crucial role in public health, and driver fatigue causes a large proportion of crashes in road driving. Hence, this paper presents the development of an efficient system to determine whether a driver is fatigued during real driving based on 14-channel EEG signals. The complexity of the EEG signal is then quantified with the sample entropy method. Finally, we explore the performance of multiple kernel-based algorithms based on sample entropy features for classifying fatigue and normal subjects by only analyzing noninvasive scalp EEG signals. Experimental results show that t

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Minnerly, Christopher, Steven L. Bressler, Ibrahim M. Shokry, and Rui Tao. "Estimating Mental Health Conditions of Patients with Opioid Use Disorder." Journal of Addiction 2019 (September 26, 2019): 1–15. http://dx.doi.org/10.1155/2019/8586153.

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Objectives. Noninvasive estimation of cortical activity aberrance may be a challenge but gives valuable clues of mental health in patients. The goal of the present study was to characterize specificity of electroencephalogram (EEG) electrodes used to assess spectral powers associated with mental health conditions of patients with opioid use disorder. Methods. This retrospective study included 16 patients who had been diagnosed with opioid use disorder in comparison with 16 sex- and age-matched healthy controls. EEG electrodes were placed in the frontal (FP1, FP2, F3, F4, F7, F8, and Fz), centr

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Rashid, Nasir, Javaid Iqbal, Amna Javed, Mohsin I. Tiwana, and Umar Shahbaz Khan. "Design of Embedded System for Multivariate Classification of Finger and Thumb Movements Using EEG Signals for Control of Upper Limb Prosthesis." BioMed Research International 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/2695106.

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Brain Computer Interface (BCI) determines the intent of the user from a variety of electrophysiological signals. These signals, Slow Cortical Potentials, are recorded from scalp, and cortical neuronal activity is recorded by implanted electrodes. This paper is focused on design of an embedded system that is used to control the finger movements of an upper limb prosthesis using Electroencephalogram (EEG) signals. This is a follow-up of our previous research which explored the best method to classify three movements of fingers (thumb movement, index finger movement, and first movement). Two-stag

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Li, Shujing, Zeng He, Yang Li, et al. "Association of Lateralized Interictal Epileptiform Discharges with Postsurgical Seizure Outcomes in Patients with Tuberous Sclerosis Complex: A 10-Year Retrospective Study at a Single Center." Acta Neurologica Scandinavica 2023 (May 25, 2023): 1–9. http://dx.doi.org/10.1155/2023/3756290.

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Objective. Tuberous sclerosis complex (TSC) is a rare neurodevelopmental disorder often associated with intractable epilepsy, and surgical resection is the effective therapeutic approach to alleviate seizures in TSC patients. Scalp electroencephalogram (EEG) is a noninvasive method used to diagnose epilepsy; however, the relationship between scalp video-EEG findings and postsurgical seizure outcomes has not been fully evaluated in TSC patients. Materials and Methods. The relationship between clinical characteristics and seizure outcomes of TSC patients with 1-year, 5-year, and 10-year follow-u

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Telenczuk, Bartosz, Stuart N. Baker, Andreas V. M. Herz, and Gabriel Curio. "High-frequency EEG covaries with spike burst patterns detected in cortical neurons." Journal of Neurophysiology 105, no. 6 (2011): 2951–59. http://dx.doi.org/10.1152/jn.00327.2010.

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Invasive microelectrode recordings measure neuronal spikes, which are commonly considered inaccessible through standard surface electroencephalogram (EEG). Yet high-frequency EEG potentials (hf-EEG, f > 400 Hz) found in somatosensory evoked potentials of primates may reflect the mean population spike responses of coactivated cortical neurons. Since cortical responses to electrical nerve stimulation vary strongly from trial to trial, we investigated whether the hf-EEG signal can also echo single-trial variability observed at the single-unit level. We recorded extracellular single-unit activi

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Itoh, Kosuke, Naho Konoike, Haruhiko Iwaoki, Hironaka Igarashi, and Katsuki Nakamura. "A novel “dip-in electrode” method for electrode application to record noninvasive scalp electroencephalograms and evoked potentials in an awake common marmoset." Neuroimage: Reports 2, no. 3 (2022): 100116. http://dx.doi.org/10.1016/j.ynirp.2022.100116.

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9

Virdi, Kulsheet Kaur, and Satish Pawar. "A Comprehensive Review on Brain-Computer Interface Controlled Movements." SMART MOVES JOURNAL IJOSCIENCE 5, no. 6 (2019): 3. http://dx.doi.org/10.24113/ijoscience.v5i6.243.

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A brain-computer interface (BCI), also referred to as a mind-machine interface (MMI) or a brain-machine interface (BMI), provides a non-muscular channel of communication between the human brain and a computer system. With the advancements in low-cost electronics and computer interface equipment, as well as the need to serve people suffering from disabilities of neuromuscular disorders, a new field of research has emerged by understanding different functions of the brain. The electroencephalogram (EEG) is an electrical activity generated by brain structures and recorded from the scalp surface t

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MARTIS, ROSHAN JOY, JEN HONG TAN, CHUA KUANG CHUA, TOO CHEAH LOON, SHARON WAN JIE YEO, and LOUIS TONG. "EPILEPTIC EEG CLASSIFICATION USING NONLINEAR PARAMETERS ON DIFFERENT FREQUENCY BANDS." Journal of Mechanics in Medicine and Biology 15, no. 03 (2015): 1550040. http://dx.doi.org/10.1142/s0219519415500402.

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Epilepsy is a chronic neurological disorder with considerable incidence and affects the population everywhere in the world. It occurs due to recurrent unprovoked seizures which can be noninvasively diagnosed using electroencephalograms (EEGs) which are the neuronal electrical activity recorded on the scalp. The EEG signal is highly random, nonlinear, nonstationary and non-Gaussian in nature. The nonlinear features characterize the EEG more accurately than linear models. EEG comprsises of different activities like delta, theta, lower alpha, upper alpha, lower beta, upper beta and lower gamma wh

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11

MARTIS, ROSHAN JOY, U. RAJENDRA ACHARYA, JEN HONG TAN, et al. "APPLICATION OF EMPIRICAL MODE DECOMPOSITION (EMD) FOR AUTOMATED DETECTION OF EPILEPSY USING EEG SIGNALS." International Journal of Neural Systems 22, no. 06 (2012): 1250027. http://dx.doi.org/10.1142/s012906571250027x.

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Epilepsy is a global disease with considerable incidence due to recurrent unprovoked seizures. These seizures can be noninvasively diagnosed using electroencephalogram (EEG), a measure of neuronal electrical activity in brain recorded along scalp. EEG is highly nonlinear, nonstationary and non-Gaussian in nature. Nonlinear adaptive models such as empirical mode decomposition (EMD) provide intuitive understanding of information present in these signals. In this study a novel methodology is proposed to automatically classify EEG of normal, inter-ictal and ictal subjects using EMD decomposition.

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12

Calancie, Blair, K. John Klose, Sylvia Baier, and Barth A. Green. "Isoflurane-induced attenuation of motor evoked potentials caused by electrical motor cortex stimulation during surgery." Journal of Neurosurgery 74, no. 6 (1991): 897–904. http://dx.doi.org/10.3171/jns.1991.74.6.0897.

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✓ Dysfunction of spinal motor conduction during surgical procedures may not be reflected by changes in somatosensory evoked potential waveforms. A method of monitoring that allows direct and continuous assessment of motor function within the central nervous system during surgery would be useful. This paper describes one such method utilizing noninvasive electric cortical stimulation to evoke muscle activity (the motor evoked potential, or MEP) during surgery. The effect of isoflurane (superimposed on a baseline of N2O/narcotic anesthesia) on MEP's in response to cortical stimulation is specifi

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13

Hope, Terrie. "The Effects of Access Bars on Anxiety and Depression: A Pilot Study." Energy Psychology 9, no. 2 (2017): 26–38. http://dx.doi.org/10.9769/epj.2017.9.2.th.

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Abstract Anxiety and depression are highly prevalent disorders that result in human suffering. The consequences to the individual include increased health care utilization, disability, and decreased income; depression, at its current prevalence, impacts global economic output as well. Access Bars, a noninvasive energy therapy technique, was evaluated for its effects on anxiety and depression using both subjective self-report and objective brain-scanning measures. Methods: Participants, N = 7, aged 25–68, were assessed as having mild to severe anxiety and/or depression. The assessment methods w

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14

Van Camp, Eloïse, Christophe Rault, Quentin Heraud, et al. "Correlation Between Sleep Continuity and Patient-Reported Sleep Quality in Conscious Critically Ill Patients at High Risk of Reintubation: A Pilot Study." Critical Care Explorations 5, no. 12 (2023): e1016. http://dx.doi.org/10.1097/cce.0000000000001016.

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OBJECTIVES: It is well-established that sleep quality of ICU patients is poor, with sleep being highly fragmented by multiple awakenings. These sleep disruptions are associated with poor outcomes such as prolonged weaning duration from mechanical ventilation. Polysomnography can measure sleep continuity, a parameter associated positively with outcomes in patients treated with noninvasive ventilation, but polysomnography is not routinely available in all ICUs, and simple means to assess sleep quality are needed. The Richards-Campbell sleep questionnaire (RCSQ) assesses sleep quality in ICU pati

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Abou Jaoude, Maurice, Claire S. Jacobs, Rani A. Sarkis, et al. "Noninvasive Detection of Hippocampal Epileptiform Activity on Scalp Electroencephalogram." JAMA Neurology, May 2, 2022. http://dx.doi.org/10.1001/jamaneurol.2022.0888.

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16

Sun, Rui, Abbas Sohrabpour, Boney Joseph, Gregory Worrell, and Bin He. "Seizure Sources Can Be Imaged from Scalp EEG by Means of Biophysically Constrained Deep Neural Networks." Advanced Science, October 29, 2024. http://dx.doi.org/10.1002/advs.202405246.

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AbstractSeizure localization is important for managing drug‐resistant focal epilepsy. Here, the capability of a novel deep learning‐based source imaging framework (DeepSIF) for imaging seizure activities from electroencephalogram (EEG) recordings in drug‐resistant focal epilepsy patients is investigated. The neural mass model of ictal oscillations is adopted to generate synthetic training data with spatio‐temporal‐spectra features similar to ictal dynamics. The trained DeepSIF model is rigorously validated using computer simulations and in a cohort of 33 drug‐resistant focal epilepsy patients

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17

Loube, Deanne Kennedy, Yee-Leng Tan, June Yoshii-Contreras, et al. "Ictal EEG Source Imaging With Supplemental Electrodes." Journal of Clinical Neurophysiology, October 5, 2023. http://dx.doi.org/10.1097/wnp.0000000000001025.

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Introduction: Noninvasive brain imaging tests play a major role in guiding decision-making and the usage of invasive, costly intracranial electroencephalogram (ICEEG) in the presurgical epilepsy evaluation. This study prospectively examined the concordance in localization between ictal EEG source imaging (ESI) and ICEEG as a reference standard. Methods: Between August 2014 and April 2019, patients during video monitoring with scalp EEG were screened for those with intractable focal epilepsy believed to be amenable to surgical treatment. Additional 10-10 electrodes (total = 31–38 per patient, “

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18

Trivedi, Mahendra Kumar. "Biofield Energy Signals, Energy Transmission and Neutrinos." Science Publishing Group, November 1, 2016. https://doi.org/10.5281/zenodo.813950.

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There has been significant data published in peer-reviewed scientific journals about Mr. Mahendra Kumar Trivedi exercising the biofield energy to change the behaviour and characteristics of living organisms including soil, seeds, plants, trees, animals, microbes, and humans, along with non-living materials including metals, ceramics, polymers, chemicals, pharmaceutical compounds and nutraceuticals, etc. This effect of Mr. Trivedi's biofield energy on living beings and non-living materials is referred to as The Trivedi Effect®. The changes are attributed to changes at the atomic level and the s

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19

Hagan, Brian, Radhika Mujumdar, Jagdish P. Sahoo, Abhijit Das, and Anirban Dutta. "Technical feasibility of multimodal imaging in neonatal hypoxic-ischemic encephalopathy from an ovine model to a human case series." Frontiers in Pediatrics 11 (June 22, 2023). http://dx.doi.org/10.3389/fped.2023.1072663.

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Hypoxic-ischemic encephalopathy (HIE) secondary to perinatal asphyxia occurs when the brain does not receive enough oxygen and blood. A surrogate marker for “intact survival” is necessary for the successful management of HIE. The severity of HIE can be classified based on clinical presentation, including the presence of seizures, using a clinical classification scale called Sarnat staging; however, Sarnat staging is subjective, and the score changes over time. Furthermore, seizures are difficult to detect clinically and are associated with a poor prognosis. Therefore, a tool for continuous mon

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20

Kang, Dongyu, Yi Zhang, Guowei Wu, et al. "The Effect of Accelerated Continuous Theta Burst Stimulation on Weight Loss in Overweight Individuals With Schizophrenia: A Double-Blind, Randomized, Sham-Controlled Clinical Trial." Schizophrenia Bulletin, October 31, 2023. http://dx.doi.org/10.1093/schbul/sbad144.

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Abstract Background and Hypothesis Obesity is a common comorbidity in individuals with schizophrenia and is associated with poor clinical outcomes. At present, there are limited effective approaches for addressing this issue. We conducted a double-blind, randomized, sham-controlled clinical trial to investigate the efficacy of noninvasive magnetic stimulation techniques in reducing obesity in individuals with schizophrenia. Study Design Forty overweight individuals with schizophrenia were recruited and randomly assigned to receive either the active or sham intervention. The active group receiv

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Fradkin, Yuliy, Luis De Taboada, Margaret Naeser, Anita Saltmarche, William Snyder, and Eugenia Steingold. "Transcranial photobiomodulation in children aged 2–6 years: a randomized sham-controlled clinical trial assessing safety, efficacy, and impact on autism spectrum disorder symptoms and brain electrophysiology." Frontiers in Neurology 15 (April 26, 2024). http://dx.doi.org/10.3389/fneur.2024.1221193.

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BackgroundSmall pilot studies have suggested that transcranial photobiomodulation (tPBM) could help reduce symptoms of neurological conditions, such as depression, traumatic brain injury, and autism spectrum disorder (ASD).ObjectiveTo examine the impact of tPBM on the symptoms of ASD in children aged two to six years.MethodWe conducted a randomized, sham-controlled clinical trial involving thirty children aged two to six years with a prior diagnosis of ASD. We delivered pulses of near-infrared light (40 Hz, 850 nm) noninvasively to selected brain areas twice a week for eight weeks, using an in

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