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Manohara N, Ferrari A, Greenblatt A, Berardino A, Peixoto C, Duarte F, Moyiaeri Z, Robba C, Nascimento F, Kreuzer M, Vacas S, Lobo FA. Electroencephalogram monitoring during anesthesia and critical care: a guide for the clinician. J Clin Monit Comput 2024:10.1007/s10877-024-01250-2. [PMID: 39704777 DOI: 10.1007/s10877-024-01250-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2024] [Accepted: 12/05/2024] [Indexed: 12/21/2024]
Abstract
Perioperative anesthetic, surgical and critical careinterventions can affect brain physiology and overall brain health. The clinical utility of electroencephalogram (EEG) monitoring in anesthesia and intensive care settings is multifaceted, offering critical insights into the level of consciousness and depth of anesthesia, facilitating the titration of anesthetic doses, and enabling the detection of ischemic events and epileptic activity. Additionally, EEG monitoring can aid in predicting perioperative neurocognitive disorders, assessing the impact of systemic insults on cerebral function, and informing neuroprognostication. This review provides a comprehensive overview of the fundamental principles of electroencephalography, including the foundations of processed and quantitative electroencephalography. It further explores the characteristic EEG signatures associated wtih anesthetic drugs, the interpretation of the EEG data during anesthesia, and the broader clinical benefits and applications of EEG monitoring in both anesthetic practice and intensive care environments.
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Affiliation(s)
- Nitin Manohara
- Division of Anesthesiology, Cleveland Clinic Abu Dhabi, Integrated Hospital Care Institute, Abu Dhabi, United Arab Emirates
| | | | - Adam Greenblatt
- Department of Neurology, Washington University in St Louis, St Louis, MO, USA
| | - Andrea Berardino
- Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy
| | | | - Flávia Duarte
- Department of Anesthesiology, Hospital Garcia de Orta, Almada, Portugal
| | - Zahra Moyiaeri
- Division of Anesthesiology, Cleveland Clinic Abu Dhabi, Integrated Hospital Care Institute, Abu Dhabi, United Arab Emirates
| | | | - Fabio Nascimento
- Department of Neurology, Washington University in St Louis, St Louis, MO, USA
| | - Matthias Kreuzer
- Department of Anesthesiology and Intensive Care Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Susana Vacas
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Francisco A Lobo
- Division of Anesthesiology, Cleveland Clinic Abu Dhabi, Integrated Hospital Care Institute, Abu Dhabi, United Arab Emirates.
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Azuma S, Asamoto M, Hattori K, Otsuji M, Uchida K, Yamada Y. Quantitative relationship between anteriorization of alpha oscillations and level of general anesthesia. J Clin Monit Comput 2023; 37:609-618. [PMID: 36316519 DOI: 10.1007/s10877-022-00932-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022]
Abstract
A typical electroencephalogram (EEG) change induced by general anesthesia is anteriorization-disappearance of occipital alpha oscillations followed by the development of frontal alpha oscillations. Investigating the quantitative relationship between such a specific EEG change and the level of anesthesia has academic and clinical importance. We quantified the degree of anteriorization and investigated its detailed relationship with the level of anesthesia. We acquired 21-electrode EEG data and bispectral index (BIS) values of 50 patients undergoing surgery from before anesthesia induction until after patient arousal. For each epoch of a 10.24-s window with 1-s offsets, we calculated frontal alpha power [Formula: see text], occipital alpha power [Formula: see text], and their difference [Formula: see text] to quantify anteriorization. We calculated Spearman's rank correlation coefficients between these values and the BIS value. We used locally weighted regression to estimate [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], and [Formula: see text] at each BIS value. Thirty-six patients (26 females and 10 males aged 24-85 years) were analyzed. The 95% confidence intervals for the mean of Fisher transformations of Spearman's rank correlation coefficients between [Formula: see text], [Formula: see text], and [Formula: see text] and BIS value were [- 0.68, - 0.26], [0.02, 0.62], and [- 1.11, - 0.91], respectively. The change in [Formula: see text] and [Formula: see text] with BIS value showed different patterns by the type of anesthetic agent, whereas that in [Formula: see text] was more consistent with smaller individual variance. Anteriorization, quantified by the difference between frontal and occipital alpha powers, continuously developed in conjunction with general anesthesia. Quantifying anteriorization may provide an objective indicator of the level of anesthesia.
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Affiliation(s)
- Seiichi Azuma
- Department of Anesthesiology and Pain Relief Center, The University of Tokyo Hospital, Tokyo, Japan
- Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Masaaki Asamoto
- Department of Anesthesiology and Pain Relief Center, The University of Tokyo Hospital, Tokyo, Japan.
| | - Kohshi Hattori
- Department of Anesthesiology and Pain Relief Center, The University of Tokyo Hospital, Tokyo, Japan
- Department of Anesthesiology, Center Hospital of the National Center for Global Health and Medicine, Tokyo, Japan
| | - Mikiya Otsuji
- Department of Anesthesiology, Tokyo Teishin Hospital, Tokyo, Japan
| | - Kanji Uchida
- Department of Anesthesiology and Pain Relief Center, The University of Tokyo Hospital, Tokyo, Japan
| | - Yoshitsugu Yamada
- Department of Anesthesiology and Pain Relief Center, The University of Tokyo Hospital, Tokyo, Japan
- Department of Anesthesiology, International University of Health and Welfare Mita Hospital, Tokyo, Japan
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Asadzadeh S, Yousefi Rezaii T, Beheshti S, Delpak A, Meshgini S. A systematic review of EEG source localization techniques and their applications on diagnosis of brain abnormalities. J Neurosci Methods 2020; 339:108740. [DOI: 10.1016/j.jneumeth.2020.108740] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 04/13/2020] [Accepted: 04/13/2020] [Indexed: 12/12/2022]
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Tang NK, Stella MT, Banks PD, Sandhu HK, Berna C. The effect of opioid therapy on sleep quality in patients with chronic non-malignant pain: A systematic review and exploratory meta-analysis. Sleep Med Rev 2019; 45:105-126. [DOI: 10.1016/j.smrv.2019.03.005] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 02/13/2019] [Accepted: 03/14/2019] [Indexed: 12/21/2022]
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The effects of chiropractic spinal manipulation on central processing of tonic pain - a pilot study using standardized low-resolution brain electromagnetic tomography (sLORETA). Sci Rep 2019; 9:6925. [PMID: 31061511 PMCID: PMC6502880 DOI: 10.1038/s41598-019-42984-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Accepted: 04/08/2019] [Indexed: 02/06/2023] Open
Abstract
The objectives of the study were to investigate changes in pain perception and neural activity during tonic pain due to altered sensory input from the spine following chiropractic spinal adjustments. Fifteen participants with subclinical pain (recurrent spinal dysfunction such as mild pain, ache or stiffness but with no pain on the day of the experiment) participated in this randomized cross-over study involving a chiropractic spinal adjustment and a sham session, separated by 4.0 ± 4.2 days. Before and after each intervention, 61-channel electroencephalography (EEG) was recorded at rest and during 80 seconds of tonic pain evoked by the cold-pressor test (left hand immersed in 2 °C water). Participants rated the pain and unpleasantness to the cold-pressor test on two separate numerical rating scales. To study brain sources, sLORETA was performed on four EEG frequency bands: delta (1–4 Hz), theta (4–8 Hz), alpha (8–12 Hz) and beta (12–32 Hz). The pain scores decreased by 9% after the sham intervention (p < 0.05), whereas the unpleasantness scores decreased by 7% after both interventions (p < 0.05). sLORETA showed decreased brain activity following tonic pain in all frequency bands after the sham intervention, whereas no change in activity was seen after the chiropractic spinal adjustment session. This study showed habituation to pain following the sham intervention, with no habituation occurring following the chiropractic intervention. This suggests that the chiropractic spinal adjustments may alter central processing of pain and unpleasantness.
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Lelic D, Hansen TM, Mark EB, Olesen AE, Drewes AM. The effects of analgesics on central processing of tonic pain: A cross-over placebo controlled study. Neuropharmacology 2017. [DOI: 10.1016/j.neuropharm.2017.06.022] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Hansen TM, Mark EB, Olesen SS, Gram M, Frøkjær JB, Drewes AM. Characterization of cortical source generators based on electroencephalography during tonic pain. J Pain Res 2017; 10:1401-1409. [PMID: 28652806 PMCID: PMC5476635 DOI: 10.2147/jpr.s132909] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Objective The aim of the present study was to characterize the cortical source generators evoked by experimental tonic pain. Methods Electroencephalography (EEG) was recorded on two separate days during rest and with immersion of the hand in ice water for 2 minutes (cold pressor test). Exact low-resolution brain electromagnetic tomography source localization was performed in 31 healthy volunteers to characterize the cortical source generators. Results Reliability was high in all eight frequency bands during rest and cold pressor conditions (intraclass coefficients =0.47–0.83 in the cingulate and insula). Tonic pain increased cortical activities in the delta (1–4 Hz), theta (4–8 Hz), beta1 (12–18 Hz), beta2 (18–24 Hz), beta3 (24–32 Hz), and gamma (32–60 Hz) bands (all P<0.011) in widespread areas mainly in the limbic system, whereas decreased cortical activities were found in cingulate and pre- and postcentral gyri in the alpha2 (10–12 Hz) band (P=0.007). The pain intensity was correlated with cingulate activity in the beta2, beta3, and gamma bands (all P<0.04). Conclusion Source localization of EEG is a reliable method to estimate cortical source generators. Activities in different brain regions, mainly in the limbic system, showed fluctuations in various frequency bands. Cingulate changes were correlated with pain intensity. Significance This method might add information to the objective assessment of the cortical pain response in future experimental pain studies.
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Affiliation(s)
- Tine Maria Hansen
- Mech-Sense, Department of Radiology, Aalborg University Hospital.,Department of Clinical Medicine, Aalborg University
| | - Esben Bolvig Mark
- Mech-Sense, Department of Radiology, Aalborg University Hospital.,Mech-Sense, Department of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg, Denmark
| | - Søren Schou Olesen
- Department of Clinical Medicine, Aalborg University.,Mech-Sense, Department of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg, Denmark
| | - Mikkel Gram
- Mech-Sense, Department of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg, Denmark
| | - Jens Brøndum Frøkjær
- Mech-Sense, Department of Radiology, Aalborg University Hospital.,Department of Clinical Medicine, Aalborg University
| | - Asbjørn Mohr Drewes
- Department of Clinical Medicine, Aalborg University.,Mech-Sense, Department of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg, Denmark
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Ranzi P, Freund JA, Thiel CM, Herrmann CS. Encephalography Connectivity on Sources in Male Nonsmokers after Nicotine Administration during the Resting State. Neuropsychobiology 2017; 74:48-59. [PMID: 27802427 DOI: 10.1159/000450711] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Accepted: 09/09/2016] [Indexed: 11/19/2022]
Abstract
We present an encephalography (EEG) connectivity study where 30 healthy male nonsmokers were randomly allocated either to a nicotine group (14 subjects, 7 mg of transdermal nicotine) or to a placebo group. EEG activity was recorded in an eyes-open (EO) and eyes-closed (EC) condition before and after drug administration. This is a reanalysis of a previous dataset. Through a source reconstruction procedure, we extracted 13 time series representing 13 sources belonging to a resting-state network. Here, we conducted connectivity analysis (renormalized partial directed coherence; rPDC) on sources, focusing on the frequency range of 8.5-18.4 Hz, subdivided into 3 frequency bands (α1, α2, and β1) with the hypothesis that an increase in vigilance would modulate connectivity. Furthermore, a phase-amplitude coupling (mean resultant vector length; VL) analysis, was performed investigating whether an increase of vigilance would modulate phase-amplitude coupling. In the VL analysis we estimated the coupling of the phases of 3 low frequencies (α1, α2, and β1), respectively, with the amplitude of high-frequency oscillations (30-40 Hz, low γ). With rPDC we found that during the EC condition, nicotine decreased feedback connectivity (from the precentral gyrus to precuneus, angular gyrus, cuneus and superior occipital gyrus) at 10.5-12.4 Hz. The VL analysis showed nicotine-induced increases in coupling at 10.5-18.4 Hz in the precuneus, cuneus and superior occipital gyrus during the EC condition. During the EO condition, no significant results were found in connectivity or phase-amplitude coupling measures at any frequency range. In conclusion, the results suggest that nicotine potentially increases the level of vigilance in the EC condition.
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Affiliation(s)
- Paolo Ranzi
- Experimental Psychology Group, Department of Psychology, Cluster of Excellence 'Hearing4all', European Medical School, Carl von Ossietzky University, Oldenburg, Germany
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Frøkjær JB, Graversen C, Brock C, Khodayari-Rostamabad A, Olesen SS, Hansen TM, Søfteland E, Simrén M, Drewes AM. Integrity of central nervous function in diabetes mellitus assessed by resting state EEG frequency analysis and source localization. J Diabetes Complications 2017; 31:400-406. [PMID: 27884662 DOI: 10.1016/j.jdiacomp.2016.11.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Revised: 09/24/2016] [Accepted: 11/02/2016] [Indexed: 12/12/2022]
Abstract
Diabetes mellitus (DM) is associated with structural and functional changes of the central nervous system. We used electroencephalography (EEG) to assess resting state cortical activity and explored associations to relevant clinical features. Multichannel resting state EEG was recorded in 27 healthy controls and 24 patients with longstanding DM and signs of autonomic dysfunction. The power distribution based on wavelet analysis was summarized into frequency bands with corresponding topographic mapping. Source localization analysis was applied to explore the electrical cortical sources underlying the EEG. Compared to controls, DM patients had an overall decreased EEG power in the delta (1-4Hz) and gamma (30-45Hz) bands. Topographic analysis revealed that these changes were confined to the frontal region for the delta band and to central cortical areas for the gamma band. Source localization analysis identified sources with reduced activity in the left postcentral gyrus for the gamma band and in right superior parietal lobule for the alpha1 (8-10Hz) band. DM patients with clinical signs of autonomic dysfunction and gastrointestinal symptoms had evidence of altered resting state cortical processing. This may reflect metabolic, vascular or neuronal changes associated with diabetes.
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Affiliation(s)
- Jens B Frøkjær
- Mech-Sense, Department of Radiology, Aalborg University Hospital, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
| | - Carina Graversen
- Mech-Sense, Department of Gastroenterology & Hepatology, Aalborg University Hospital, Aalborg, Denmark
| | - Christina Brock
- Mech-Sense, Department of Gastroenterology & Hepatology, Aalborg University Hospital, Aalborg, Denmark
| | | | - Søren S Olesen
- Mech-Sense, Department of Gastroenterology & Hepatology, Aalborg University Hospital, Aalborg, Denmark
| | - Tine M Hansen
- Mech-Sense, Department of Radiology, Aalborg University Hospital, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Eirik Søfteland
- Department of Medicine, Haukeland University Hospital and Institute of Medicine, University of Bergen, Bergen, Norway
| | - Magnus Simrén
- Institute of Medicine, Department of Internal Medicine & Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Asbjørn M Drewes
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark; Mech-Sense, Department of Gastroenterology & Hepatology, Aalborg University Hospital, Aalborg, Denmark
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Fischer IW, Hansen TM, Lelic D, Brokjaer A, Frøkjær J, Christrup LL, Olesen AE. Objective methods for the assessment of the spinal and supraspinal effects of opioids. Scand J Pain 2016; 14:15-24. [PMID: 28850426 DOI: 10.1016/j.sjpain.2016.10.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Revised: 09/30/2016] [Accepted: 10/03/2016] [Indexed: 01/08/2023]
Abstract
BACKGROUND AND PURPOSE Opioids are potent analgesics. Opioids exert effects after interaction with opioid receptors. Opioid receptors are present in the peripheral- and central nervous system (CNS), but the analgesic effects are primarily mediated via receptors in the CNS. Objective methods for assessment of opioid effects may increase knowledge on the CNS processes responsible for analgesia. The aim of this review was to provide an overview of the most common objective methods for assessment of the spinal and supraspinal effects of opioids and discuss their advantages and limitations. METHOD The literature search was conducted in Pub Med (http://www.ncbi.nlm.nih.gov/pubmed) from November 2014 to June 2016, using free-text terms: "opioid", "morphine" and "oxycodone" combined with the terms "pupillometry," "magnetic resonance spectroscopy," "fMRI," "BOLD," "PET," "pharmaco-EEG", "electroencephalogram", "EEG," "evoked potentials," and "nociceptive reflex". Only original articles published in English were included. RESULTS For assessment of opioid effects at the supraspinal level, the following methods are evaluated: pupillometry, proton magnetic resonance spectroscopy, functional resonance magnetic imaging (fMRI), positron emission tomography (PET), spontaneous electroencephalogram (EEG) and evoked potentials (EPs). Pupillometry is a non-invasive tool used in research as well as in the clinical setting. Proton magnetic resonance spectroscopy has been used for the last decades and it is a non-invasive technique for measurement of in vivo brain metabolite concentrations. fMRI has been a widely used non-invasive method to estimate brain activity, where typically from the blood oxygen level-dependent (BOLD) signal. PET is a nuclear imaging technique based on tracing radio labeled molecules injected into the blood, where receptor distribution, density and activity in the brain can be visualized. Spontaneous EEG is typically quantified in frequency bands, power spectrum and spectral edge frequency. EPs are brain responses (assessed by EEG) to a predefined number of short phasic stimuli. EPs are quantified by their peak latencies and amplitudes, power spectrum, scalp topographies and brain source localization. For assessment of opioid effects at the spinal level, the following methods are evaluated: the nociceptive withdrawal reflex (NWR) and spinal EPs. The nociceptive withdrawal reflex can be recorded from all limbs, but it is standard to record the electromyography signal at the biceps femoris muscle after stimulation of the ipsilateral sural nerve; EPs can be recorded from the spinal cord and are typically recorded after stimulation of the median nerve at the wrist. CONCLUSION AND IMPLICATIONS The presented methods can all be used as objective methods for assessing the centrally mediated effects of opioids. Advantages and limitations should be considered before implementation in drug development, future experimental studies as well as in clinical settings. In conclusion, pupillometry is a sensitive measurement of opioid receptor activation in the CNS and from a practical and economical perspective it may be used as a biomarker for opioid effects in the CNS. However, if more detailed information is needed on opioid effects at different levels of the CNS, then EEG, fMRI, PET and NWR have the potential to be used. Finally, it is conceivable that information from different methods should be considered together for complementary information.
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Affiliation(s)
- Iben W Fischer
- Mech-Sense, Department of Gastroenterology &Hepatology, Aalborg University Hospital, Mølleparkvej 4, 9000, Aalborg, Denmark.,Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tine M Hansen
- Mech-Sense, Department of Radiology, Aalborg University Hospital, Hobrovej 18-22, 9000, Aalborg, Denmark.,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Dina Lelic
- Mech-Sense, Department of Gastroenterology &Hepatology, Aalborg University Hospital, Mølleparkvej 4, 9000, Aalborg, Denmark
| | - Anne Brokjaer
- Mech-Sense, Department of Gastroenterology &Hepatology, Aalborg University Hospital, Mølleparkvej 4, 9000, Aalborg, Denmark
| | - Jens Frøkjær
- Mech-Sense, Department of Radiology, Aalborg University Hospital, Hobrovej 18-22, 9000, Aalborg, Denmark.,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Lona L Christrup
- Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anne E Olesen
- Mech-Sense, Department of Gastroenterology &Hepatology, Aalborg University Hospital, Mølleparkvej 4, 9000, Aalborg, Denmark.,Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
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Diniz RC, Fontenele AMM, Carmo LHAD, Ribeiro ACDC, Sales FHS, Monteiro SCM, Sousa AKFDC. Quantitative methods in electroencephalography to access therapeutic response. Biomed Pharmacother 2016; 81:182-191. [PMID: 27261593 DOI: 10.1016/j.biopha.2016.02.046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2015] [Accepted: 02/22/2016] [Indexed: 11/26/2022] Open
Abstract
Pharmacometrics or Quantitative Pharmacology aims to quantitatively analyze the interaction between drugs and patients whose tripod: pharmacokinetics, pharmacodynamics and disease monitoring to identify variability in drug response. Being the subject of central interest in the training of pharmacists, this work was out with a view to promoting this idea on methods to access the therapeutic response of drugs with central action. This paper discusses quantitative methods (Fast Fourier Transform, Magnitude Square Coherence, Conditional Entropy, Generalised Linear semi-canonical Correlation Analysis, Statistical Parametric Network and Mutual Information Function) used to evaluate the EEG signals obtained after administration regimen of drugs, the main findings and their clinical relevance, pointing it as a contribution to construction of different pharmaceutical practice. Peter Anderer et. al in 2000 showed the effect of 20mg of buspirone in 20 healthy subjects after 1, 2, 4, 6 and 8h after oral ingestion of the drug. The areas of increased power of the theta frequency occurred mainly in the temporo-occipital - parietal region. It has been shown by Sampaio et al., 2007 that the use of bromazepam, which allows the release of GABA (gamma amino butyric acid), an inhibitory neurotransmitter of the central nervous system could theoretically promote dissociation of cortical functional areas, a decrease of functional connectivity, a decrease of cognitive functions by means of smaller coherence (electrophysiological magnitude measured from the EEG by software) values. Ahmad Khodayari-Rostamabad et al. in 2015 talk that such a measure could be a useful clinical tool potentially to assess adverse effects of opioids and hence give rise to treatment guidelines. There was the relation between changes in pain intensity and brain sources (at maximum activity locations) during remifentanil infusion despite its potent analgesic effect. The statement of mathematical and computational aspects in the use of clinical data is frequent and elucidation of these aspects we use PhysioNet https://www.physionet.org/, Clinical Database online supported by the National Institutes of Health (National Institutes of Health of United States of America/NIH-USA) for the acquisition of EEG data and the Matlab program to do the simulations with the methods and thus create opportunities greater understanding.
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Affiliation(s)
- Roseane Costa Diniz
- Federal University of Maranhao, Department of Pharmacy, Cidade Universitária Bacanga, Avenida dos Portugueses, 1966 Bacanga, São Luís, Maranhão 65080-805, Brazil; Universidade CEUMA, Mestrado em Biologia Parasitária. Rua Josué Montello Renascença II, São Luís, Maranhão 65075-120, Brazil
| | - Andrea Martins Melo Fontenele
- Federal University of Maranhao, Department of Pharmacy, Cidade Universitária Bacanga, Avenida dos Portugueses, 1966 Bacanga, São Luís, Maranhão 65080-805, Brazil; Hospital Universitário da Universidade Federal do Maranhão, Serviço de Farmácia, Rua Barão de Itapary, 227-Centro, São Luís, Maranhão 65020-070, Brazil
| | - Luiza Helena Araújo do Carmo
- Federal University of Maranhao, Department of Pharmacy, Cidade Universitária Bacanga, Avenida dos Portugueses, 1966 Bacanga, São Luís, Maranhão 65080-805, Brazil
| | - Aurea Celeste da Costa Ribeiro
- Estadual University of Maranhao, Technological Sciences Center, Undergraduate Degree in Computer Engineering, Cidade Universitária Paulo VI, s/n Tirirical, São Luís, Maranhão 65055-000, Brazil
| | - Fábio Henrique Silva Sales
- Federal Institute of Education Science and Technology of Maranhao, Department of Physics, Avenida Getúlio Vargas, 4 Monte Castelo, São Luís, Maranhão 65036-490, Brazil
| | - Sally Cristina Moutinho Monteiro
- Federal University of Maranhao, Department of Pharmacy, Cidade Universitária Bacanga, Avenida dos Portugueses, 1966 Bacanga, São Luís, Maranhão 65080-805, Brazil
| | - Ana Karoline Ferreira de Castro Sousa
- Integração e Tecnologia Médico Farmacológico - ITMF, Avenida Coronel Colares Moreira 10, Edifício São Luís Multiempresarial, sala 416-Renascença II, São Luís, Maranhão 65075-441, Brazil
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