Literature DB >> 24783746

Ellen R. Grass Lecture: extraordinary EEG.

William O Tatum.   

Abstract

The electroencephalogram (EEG) is a unique measure of the electrical function of the brain. Cerebral sources of EEG potentials expressed by the human brain have been recorded on the surface of the scalp for almost 100 years. With the advances in digital technology, present day EEG has evolved to include specialized techniques that offer new capabilities never realized before. Refined intracranial recording techniques and multi-channel systems now permit access to regions of the brain that have previously been off limits to conventional EEG recording. Extraordinary biorhythms beyond 1 to 35 Hz that have been typically used in routine EEG are now exploring extreme bandwidths that may disclose epileptogenic regions and their yield causative networks involved in generating seizures. These spectral frequencies ranging from infraslow activity to high frequency oscillations have far reaching implications for people with uncontrolled seizures. Micro-EEG recordings are now shedding light on electrophysiological recordings of single columns of neuronal activity in clinical research expanding our understanding of epilepsy to the cellular level. Beyond the routine application of EEG analyzed for clinical use, special EEG techniques now provide a window to reveal detailed information about the seizure onset zone in patients with epilepsy, as well as advance our understanding of the functional processes of the brain itself. These breakthroughs will allow EEG-based treatment alternatives.

Entities:  

Mesh:

Year:  2014        PMID: 24783746

Source DB:  PubMed          Journal:  Neurodiagn J        ISSN: 2164-6821


  12 in total

1.  Monitoring cerebral oxygenation and local field potential with a variation of isoflurane concentration in a rat model.

Authors:  Dong-Hyuk Choi; Teo Jeon Shin; Seonghyun Kim; Jayyoung Bae; Dongrae Cho; Jinsil Ham; Ji-Young Park; Hyoung-Ihl Kim; Seongwook Jeong; Boreom Lee; Jae Gwan Kim
Journal:  Biomed Opt Express       Date:  2016-09-16       Impact factor: 3.732

2.  EEG-based neglect assessment: A feasibility study.

Authors:  Aya Khalaf; Jessica Kersey; Safaa Eldeeb; Gazihan Alankus; Emily Grattan; Laura Waterstram; Elizabeth Skidmore; Murat Akcakaya
Journal:  J Neurosci Methods       Date:  2018-03-31       Impact factor: 2.390

3.  Investigating Power Density and the Degree of Nonlinearity in Intrinsic Components of Anesthesia EEG by the Hilbert-Huang Transform: An Example Using Ketamine and Alfentanil.

Authors:  Feng-Fang Tsai; Shou-Zen Fan; Yi-Shiuan Lin; Norden E Huang; Jia-Rong Yeh
Journal:  PLoS One       Date:  2016-12-14       Impact factor: 3.240

4.  Disrupted Brain Network in Children with Autism Spectrum Disorder.

Authors:  Ke Zeng; Jiannan Kang; Gaoxiang Ouyang; Jingqing Li; Junxia Han; Yao Wang; Estate M Sokhadze; Manuel F Casanova; Xiaoli Li
Journal:  Sci Rep       Date:  2017-11-24       Impact factor: 4.379

5.  Neural Correlates of Phrase Rhythm: An EEG Study of Bipartite vs. Rondo Sonata Form.

Authors:  Arturo Martínez-Rodrigo; Alicia Fernández-Sotos; José Miguel Latorre; José Moncho-Bogani; Antonio Fernández-Caballero
Journal:  Front Neuroinform       Date:  2017-04-27       Impact factor: 4.081

6.  Brain Activity Correlates With Cognitive Performance Deterioration During Sleep Deprivation.

Authors:  Hugo F Posada-Quintero; Natasa Reljin; Jeffrey B Bolkhovsky; Alvaro D Orjuela-Cañón; Ki H Chon
Journal:  Front Neurosci       Date:  2019-09-19       Impact factor: 4.677

7.  Impact of Affective Multimedia Content on the Electroencephalogram and Facial Expressions.

Authors:  Siddharth Siddharth; Tzyy-Ping Jung; Terrence J Sejnowski
Journal:  Sci Rep       Date:  2019-11-08       Impact factor: 4.379

8.  Multi-Parameter Physiological State Monitoring in Target Detection Under Real-World Settings.

Authors:  Yang Chang; Congying He; Bo-Yu Tsai; Li-Wei Ko
Journal:  Front Hum Neurosci       Date:  2021-12-22       Impact factor: 3.169

9.  Emotion Recognition Based on Weighted Fusion Strategy of Multichannel Physiological Signals.

Authors:  Wei Wei; Qingxuan Jia; Yongli Feng; Gang Chen
Journal:  Comput Intell Neurosci       Date:  2018-07-05

10.  Using Black Hole Algorithm to Improve EEG-Based Emotion Recognition.

Authors:  Roberto Munoz; Rodrigo Olivares; Carla Taramasco; Rodolfo Villarroel; Ricardo Soto; Thiago S Barcelos; Erick Merino; María Francisca Alonso-Sánchez
Journal:  Comput Intell Neurosci       Date:  2018-06-11
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.