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QEEG as a Biomarker in Neuropsychiatry For evidence based medical practice
The topic opens with: What is QEEG How it differs from EEG What are the advantages How it compares with other Neuro Imaging studies After the introduction: QEEG Terminologies are discussed: Frequency bandwidths, Ratios, Connectivity, Strategies, Patterns, Brain Maps, artifact Frequency Bandwidths: L...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Wolters Kluwer - Medknow
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9129486/ http://dx.doi.org/10.4103/0019-5545.341847 |
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author | Murugappan, SP. |
author_facet | Murugappan, SP. |
author_sort | Murugappan, SP. |
collection | PubMed |
description | The topic opens with: What is QEEG How it differs from EEG What are the advantages How it compares with other Neuro Imaging studies After the introduction: QEEG Terminologies are discussed: Frequency bandwidths, Ratios, Connectivity, Strategies, Patterns, Brain Maps, artifact Frequency Bandwidths: Low and High Delta, Low and high Theta, Alpha 1, Alpha 2, Beta- Sensory Motor Rhythm, Beta1, Beta2, High Beta, Gamma Ratios: Theta Beta Ratio, Alpha Theta Ratio, Swingle ratio ( Beta/High Beta ratio), Beta/High Beta Ratio Connectivity speaks about the Coherence and Phase values between neuronal pools. Strategies cover the ways how brain modifies its functions covering “Hot Temporals, Temporal Disconnect, Reversals and Blocking.” Patterns are the signature patterns that is seen in Brain maps in various clinical states and behaviors. Artifact removal is an important step in QEEG recording and the steps are explained. Brain maps are the end product of QEEG revealing overall, the existing electrical activity patterns across the brain with relevance to the symptoms. Though there are large number of patterns for every human behaviour, the session will cover very common conditions with which we can differentiate Unipolar depression and bipolar depression, Autism, ADHD, Dementia, Delirium, encephalopathies, learning disorders, addiction, anxiety, sleep disorders and OCD. The session ends stating how the QEEG serves as an evidence based medical practice for neuro psychiatric symptoms and QEEG’s role in predicting certain debilitating conditions like dementia, MCI and depression years ahead of the clinical onset of symptoms or even earlier than other neuro imaging systems. |
format | Online Article Text |
id | pubmed-9129486 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-91294862022-05-25 QEEG as a Biomarker in Neuropsychiatry For evidence based medical practice Murugappan, SP. Indian J Psychiatry Abstract for Symposium The topic opens with: What is QEEG How it differs from EEG What are the advantages How it compares with other Neuro Imaging studies After the introduction: QEEG Terminologies are discussed: Frequency bandwidths, Ratios, Connectivity, Strategies, Patterns, Brain Maps, artifact Frequency Bandwidths: Low and High Delta, Low and high Theta, Alpha 1, Alpha 2, Beta- Sensory Motor Rhythm, Beta1, Beta2, High Beta, Gamma Ratios: Theta Beta Ratio, Alpha Theta Ratio, Swingle ratio ( Beta/High Beta ratio), Beta/High Beta Ratio Connectivity speaks about the Coherence and Phase values between neuronal pools. Strategies cover the ways how brain modifies its functions covering “Hot Temporals, Temporal Disconnect, Reversals and Blocking.” Patterns are the signature patterns that is seen in Brain maps in various clinical states and behaviors. Artifact removal is an important step in QEEG recording and the steps are explained. Brain maps are the end product of QEEG revealing overall, the existing electrical activity patterns across the brain with relevance to the symptoms. Though there are large number of patterns for every human behaviour, the session will cover very common conditions with which we can differentiate Unipolar depression and bipolar depression, Autism, ADHD, Dementia, Delirium, encephalopathies, learning disorders, addiction, anxiety, sleep disorders and OCD. The session ends stating how the QEEG serves as an evidence based medical practice for neuro psychiatric symptoms and QEEG’s role in predicting certain debilitating conditions like dementia, MCI and depression years ahead of the clinical onset of symptoms or even earlier than other neuro imaging systems. Wolters Kluwer - Medknow 2022-03 2022-03-24 /pmc/articles/PMC9129486/ http://dx.doi.org/10.4103/0019-5545.341847 Text en Copyright: © 2022 Indian Journal of Psychiatry https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Abstract for Symposium Murugappan, SP. QEEG as a Biomarker in Neuropsychiatry For evidence based medical practice |
title | QEEG as a Biomarker in Neuropsychiatry For evidence based medical practice |
title_full | QEEG as a Biomarker in Neuropsychiatry For evidence based medical practice |
title_fullStr | QEEG as a Biomarker in Neuropsychiatry For evidence based medical practice |
title_full_unstemmed | QEEG as a Biomarker in Neuropsychiatry For evidence based medical practice |
title_short | QEEG as a Biomarker in Neuropsychiatry For evidence based medical practice |
title_sort | qeeg as a biomarker in neuropsychiatry for evidence based medical practice |
topic | Abstract for Symposium |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9129486/ http://dx.doi.org/10.4103/0019-5545.341847 |
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