1
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Shen M, Wen P, Song B, Li Y. Detection of alcoholic EEG signals based on whole brain connectivity and convolution neural networks. Biomed Signal Process Control 2023. [DOI: 10.1016/j.bspc.2022.104242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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2
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Liu Y, Chen Y, Fraga-González G, Szpak V, Laverman J, Wiers RW, Richard Ridderinkhof K. Resting-state EEG, Substance use and Abstinence After Chronic use: A Systematic Review. Clin EEG Neurosci 2022; 53:344-366. [PMID: 35142589 DOI: 10.1177/15500594221076347] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Resting-state EEG reflects intrinsic brain activity and its alteration represents changes in cognition that are related to neuropathology. Thereby, it provides a way of revealing the neurocognitive mechanisms underpinning chronic substance use. In addition, it is documented that some neurocognitive functions can recover following sustained abstinence. We present a systematic review to synthesize how chronic substance use is associated with resting-state EEG alterations and whether these spontaneously recover from abstinence. A literature search in Medline, PsycINFO, Embase, CINAHL, Web of Science, and Scopus resulted in 4088 articles, of which 57 were included for evaluation. It covered the substance of alcohol (18), tobacco (14), cannabis (8), cocaine (6), opioids (4), methamphetamine (4), and ecstasy (4). EEG analysis methods included spectral power, functional connectivity, and network analyses. It was found that long-term substance use with or without substance use disorder diagnosis was associated with broad intrinsic neural activity alterations, which were usually expressed as neural hyperactivation and decreased neural communication between brain regions. Some studies found the use of alcohol, tobacco, cocaine, cannabis, and methamphetamine was positively correlated with these changes. These alterations can partly recover from abstinence, which differed between drugs and may reflect their neurotoxic degree. Moderating factors that may explain results inconsistency are discussed. In sum, resting-state EEG may act as a potential biomarker of neurotoxic effects of chronic substance use. Recovery effects awaits replication in larger samples with prolonged abstinence. Balanced sex ratio, enlarged sample size, advanced EEG analysis methods, and transparent reporting are recommended for future studies.
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Affiliation(s)
- Yang Liu
- 12544Department of Psychology, School of Education, Shanghai Normal University, Shanghai, China
| | - Yujie Chen
- 12544Department of Psychology, School of Education, Shanghai Normal University, Shanghai, China
| | - Gorka Fraga-González
- 27217Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Veronica Szpak
- 1234Department of Psychology, University of Amsterdam, Amsterdam, Netherlands
| | - Judith Laverman
- 1234Department of Psychology, University of Amsterdam, Amsterdam, Netherlands
| | - Reinout W Wiers
- 1234Addiction Development and Psychopathology (ADAPT)-Lab, Department of Psychology and Centre for Urban Mental Health, University of Amsterdam, Amsterdam, Netherlands
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3
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Martínez-Maldonado A, Rubio G, Sion A, Jurado-Barba R. Brain oscillatory functioning after long-term alcohol abstinence. Int J Psychophysiol 2022; 177:240-248. [PMID: 35662565 DOI: 10.1016/j.ijpsycho.2022.05.015] [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: 12/02/2021] [Revised: 05/26/2022] [Accepted: 05/27/2022] [Indexed: 10/18/2022]
Abstract
The heterogeneity of the population with alcohol use disorder (AUD) sometimes makes the knowledge generated in areas such as neuroscience appear to be contradictory. One aspect that may help elucidate this apparent contradiction is controlling for certain variables that are not usually controlled, such as the abstinence time in people with AUD. This research aims to study the neuroelectrical oscillations in people with AUD with longer and shorter abstinence time in comparison with healthy individuals. We recruited twenty-nine individuals with AUD with abstinence time longer than fifteen days and shorter than six months (STA), twenty-six individuals with AUD with abstinence time longer than six months and shorter than thirteen months (LTA), and sixteen healthy individuals (HC). All participants underwent electroencephalographic recording in resting-state with eyes closed. The oscillatory activity obtained was analyzed to obtain the spectral power and phase synchronization level. Regarding the obtained spectral power results, these revealed that the STA group showed higher theta band power and lower alpha band power than the LTA and HC groups. The obtained results at the phase synchronization level also show two main results. On the one hand, the STA group showed lower alpha band phase synchronization than the LTA and HC groups. On the other hand, the HC group showed higher beta band phase synchronization than the STA and LTA groups. In conclusion, the obtained results reflect that abstinence maintenance for six or more months appears to produce an important oscillatory brain functioning normalization in people with AUD.
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Affiliation(s)
- Andrés Martínez-Maldonado
- Biomedical Research Institute Hospital 12 de Octubre, Av. Cordoba, no number, 28041 Madrid, Spain; Psychology Department, Faculty of Education & Health, Camilo José Cela University, Urb. Villafranca del Castillo, Rd. Castillo de Alarcón, 49, 28692 Villanueva de la Cañada, Madrid, Spain.
| | - Gabriel Rubio
- Biomedical Research Institute Hospital 12 de Octubre, Av. Cordoba, no number, 28041 Madrid, Spain; Faculty of Medicine, The Complutense University of Madrid, Rd. Ramón y Cajal, no number, 28040 Madrid, Spain; Addictive Diseases Network, Carlos III Health Institute, Rd. Sinesio Delgado, 4, 28029 Madrid, Spain
| | - Ana Sion
- Addictive Diseases Network, Carlos III Health Institute, Rd. Sinesio Delgado, 4, 28029 Madrid, Spain; Psychobiology and Behavioral Sciences Department, Faculty of Psychology, The Complutense University of Madrid, The Somosaguas Campus, Pozuelo de Alarcón, no number, 28223 Madrid, Spain
| | - Rosa Jurado-Barba
- Biomedical Research Institute Hospital 12 de Octubre, Av. Cordoba, no number, 28041 Madrid, Spain; Psychology Department, Faculty of Education & Health, Camilo José Cela University, Urb. Villafranca del Castillo, Rd. Castillo de Alarcón, 49, 28692 Villanueva de la Cañada, Madrid, Spain
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Khan DM, Yahya N, Kamel N, Faye I. Effective Connectivity in Default Mode Network for Alcoholism Diagnosis. IEEE Trans Neural Syst Rehabil Eng 2021; 29:796-808. [PMID: 33900918 DOI: 10.1109/tnsre.2021.3075737] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Alcohol Use Disorder (AUD) is a chronic relapsing brain disease characterized by excessive alcohol use, loss of control over alcohol intake, and negative emotional states under no alcohol consumption. The key factor in successful treatment of AUD is the accurate diagnosis for better medical and therapy management. Conventionally, for individuals to be diagnosed with AUD, certain criteria as outlined in the Diagnostic and Statistical Manual of Mental Disorders (DSM) should be met. However, this process is subjective in nature and could be misleading due to memory problems and dishonesty of some AUD patients. In this paper, an assessment scheme for objective diagnosis of AUD is proposed. For this purpose, EEG recording of 31 healthy controls and 31 AUD patients are used for the calculation of effective connectivity (EC) between the various regions of the brain Default Mode Network (DMN). The EC is estimated using partial directed coherence (PDC) which are then used as input to a 3D Convolutional Neural Network (CNN) for binary classification of AUD cases. Using 5-fold cross validation, the classification of AUD vs. HC effective connectivity matrices using the proposed 3D-CNN gives an accuracy of 87.85 ± 4.64 %. For further validation, 32 and 30 subjects are randomly selected for training and testing, respectively, giving 100% correct classification of all the testing subjects.
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Kim BM, Kim MS, Kim JS. Alterations of Functional Connectivity During the Resting State and Their Associations With Visual Memory in College Students Who Binge Drink. Front Hum Neurosci 2021; 14:600437. [PMID: 33424567 PMCID: PMC7793784 DOI: 10.3389/fnhum.2020.600437] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 11/06/2020] [Indexed: 12/15/2022] Open
Abstract
This study investigated the characteristics of neural oscillation and functional connectivity (FC) in college students engaging in binge drinking (BD) using resting-state electroencephalography (EEG). Also, the associations of visual memory, evaluated by the Rey-Osterrieth Complex Figure Test (RCFT), and neural oscillation with FC during the resting state were investigated. The BD (n = 35) and non-BD (n = 35) groups were selected based on scores of the Korean version of the Alcohol use disorders (AUDs) Identification Test and the Alcohol Use Questionnaire. EEG was performed for 6 min while the participants rested with eyes closed. The theta, lower-alpha, and upper alpha powers did not differ between the BD and non-BD groups. Concerning FC, the BD group exhibited stronger theta coherence than that of the non-BD group, and in the lower and upper alpha bands, the BD group showed stronger coherence in some areas but weaker coherence in others compared with the non-BD group. However, these significant results were not observed after Bonferroni correction. The BD group showed significantly lower delayed recall scores on the RCFT than did the non-BD group. A positive correlation between the left prefrontal-parietal-occipital midline connection and performance on the delayed recall of the RCFT was observed in the BD group. The present results could suggest that binge drinkers have alterations in brain FC, which may be related to their visual memory deficits.
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Affiliation(s)
- Bo-Mi Kim
- Department of Psychology, Sungshin Women's University, Seoul, South Korea
| | - Myung-Sun Kim
- Department of Psychology, Sungshin Women's University, Seoul, South Korea
| | - June Sic Kim
- Research Institute of Basic Sciences, Seoul National University, Seoul, South Korea
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Sion A, Bruña Fernández R, Martínez Maldonado A, Domínguez Centeno I, Torrado‐Carvajal A, Rubio G, Pereda E, Jurado‐Barba R. Resting‐state connectivity and network parameter analysis in alcohol‐dependent males. A simultaneous EEG‐MEG study. J Neurosci Res 2020; 98:1857-1876. [DOI: 10.1002/jnr.24673] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2020] [Revised: 05/15/2020] [Accepted: 05/25/2020] [Indexed: 02/04/2023]
Affiliation(s)
- Ana Sion
- 12 de Octubre Biomedical Research Institute Madrid Spain
| | - Ricardo Bruña Fernández
- Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology (CTB) Madrid Spain
- Department of Experimental Psychology Universidad Complutense de Madrid Madrid Spain
- Networking Research Center on Bioengineering Biomaterials and Nanomedicine (CIBER‐BBN) Madrid Spain
| | | | - Isabel Domínguez Centeno
- 12 de Octubre Biomedical Research Institute Madrid Spain
- Psychology Department, Health Science Faculty Camilo José Cela University Madrid Spain
| | - Angel Torrado‐Carvajal
- Athinoula A. Martinos Center for Biomedical Imaging Department of Radiology Massachusetts General Hospital and Harvard Medical School Boston MA USA
- Medical Image Analysis and Biometry Laboratory Universidad Rey Juan Carlos Madrid Spain
| | - Gabriel Rubio
- 12 de Octubre Biomedical Research Institute Madrid Spain
- 12 de Octubre Hospital Madrid Spain
- Medicine Faculty Complutense de Madrid University Madrid Spain
- Addictive Disorders Network (Red de Trastornos adictivos, RETIS) Carlos III Institute Madrid Spain
| | - Ernesto Pereda
- Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology (CTB) Madrid Spain
- Department of Industrial Engineering & IUNE Universidad de la Laguna San Cristóbal de La Laguna Spain
| | - Rosa Jurado‐Barba
- 12 de Octubre Biomedical Research Institute Madrid Spain
- Psychology Department, Health Science Faculty Camilo José Cela University Madrid Spain
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Jurado-Barba R, Sion A, Martínez-Maldonado A, Domínguez-Centeno I, Prieto-Montalvo J, Navarrete F, García-Gutierrez MS, Manzanares J, Rubio G. Neuropsychophysiological Measures of Alcohol Dependence: Can We Use EEG in the Clinical Assessment? Front Psychiatry 2020; 11:676. [PMID: 32765317 PMCID: PMC7379886 DOI: 10.3389/fpsyt.2020.00676] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Accepted: 06/29/2020] [Indexed: 01/03/2023] Open
Abstract
Addiction management is complex, and it requires a bio-psycho-social perspective, that ought to consider the multiple etiological and developmental factors. Because of this, a large amount of resources has been allocated to assess the vulnerability to dependence, i.e., to identify the processes underlying the transition from substance use to dependence, as well as its course, in order to determine the key points in its prevention, treatment, and recovery. Consequently, knowledge \from neuroscience must be taken into account, which is why different initiatives have emerged with this objective, such as the "Research Domain Criteria" (RDoC), and the "Addiction Neuroclinical Assessment" (ANA). Particularly, neuropsychophysiological measures could be used as markers of cognitive and behavioral attributes or traits in alcohol dependence, and even trace clinical change. In this way, the aim of this narrative review is to provide an overview following ANA clinical framework, to the most robust findings in neuropsychophysiological changes in alcohol dependence, that underlie the main cognitive domains implicated in addiction: incentive salience, negative emotionality, and executive functioning. The most consistent results have been found in event-related potential (ERP) analysis, especially in the P3 component, that could show a wide clinical utility, mainly for the executive functions. The review also shows the usefulness of other components, implicated in affective and substance-related processing (P1, N1, or the late positive potential LPP), as well as event-related oscillations, such as theta power, with a possible use as vulnerability or clinical marker in alcohol dependence. Finally, new tools emerging from psychophysiology research, based on functional connectivity or brain graph analysis could help toward a better understanding of altered circuits in alcohol dependence, as well as communication efficiency and effort during mental operations. This review concludes with an examination of these tools as possible markers in the clinical field and discusses methodological differences, the need for more replicability studies and incipient lines of work. It also uses consistent findings in psychophysiology to draw possible treatment targets and cognitive profiles in alcohol dependence.
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Affiliation(s)
- Rosa Jurado-Barba
- Biomedical Research Institute, Hospital 12 de Octubre, Madrid, Spain.,Department of Psychology, Education and Health Science Faculty, Camilo José Cela University, Madrid, Spain
| | - Ana Sion
- Biomedical Research Institute, Hospital 12 de Octubre, Madrid, Spain.,Addictive Disorders Network, Carlos III Institute, Madrid, Spain
| | | | - Isabel Domínguez-Centeno
- Department of Psychology, Education and Health Science Faculty, Camilo José Cela University, Madrid, Spain
| | | | - Francisco Navarrete
- Addictive Disorders Network, Carlos III Institute, Madrid, Spain.,Neuroscience Institute, Miguel Hernández University-CSIC, Alicante, Spain
| | - María Salud García-Gutierrez
- Addictive Disorders Network, Carlos III Institute, Madrid, Spain.,Neuroscience Institute, Miguel Hernández University-CSIC, Alicante, Spain
| | - Jorge Manzanares
- Addictive Disorders Network, Carlos III Institute, Madrid, Spain.,Neuroscience Institute, Miguel Hernández University-CSIC, Alicante, Spain
| | - Gabriel Rubio
- Biomedical Research Institute, Hospital 12 de Octubre, Madrid, Spain.,Addictive Disorders Network, Carlos III Institute, Madrid, Spain.,Medicine Faculty, Complutense de Madrid University, Madrid, Spain
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8
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Martínez-Maldonado A, Jurado-Barba R, Sion A, Domínguez-Centeno I, Castillo-Parra G, Prieto-Montalvo J, Rubio G. Brain functional connectivity after cognitive-bias modification and behavioral changes in abstinent alcohol-use disorder patients. Int J Psychophysiol 2019; 154:46-58. [PMID: 31654697 DOI: 10.1016/j.ijpsycho.2019.10.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 09/23/2019] [Accepted: 10/03/2019] [Indexed: 12/12/2022]
Abstract
The use of the cognitive-bias modification (CBM) method has emerged as a therapeutic complement in the treatment of alcoholism, producing changes at behavioral and brain level. Nevertheless, the impact of the CBM procedure could be improved by the memory retrieval-extinction process (REP). Different studies have demonstrated that the retrieval of drug memories before extinction training later reduced the reinstatement of drug-seeking behavior. The main aim of this work was to study the effect of the CBM procedure itself, as well as in combination with the activation of alcohol-related memories, on the brain oscillatory activity of abstinent patients with alcohol-use disorder. The study sample comprised 33 patients divided into three groups: A-CBM (alcohol-related memory activation + CBM), N-CBM (neutral memory activation + CBM) and N-INT (no-intervention) groups. A resting-state EEG was obtained before and after each protocol, along with the assessment of the automatic action tendencies. A-CBM group showed a general alpha synchronization increase after the protocol, while the other groups did not show any significant change. Besides, A-CBM group showed significant intra and inter-group differences in the automatic action tendencies after the protocol, reflected in higher avoidance bias toward appetitive, aversive and without context alcohol-related stimuli. The alpha phase synchronization increase could be the neural manifestation of the conditioning produced between the alcohol-related stimuli and the automatic avoidance response. Moreover, the activation of the alcohol-related memories favors this conditioning with those alcohol-related stimuli associated with the activated memories, because it increases their threat level for the abstinence maintenance.
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Affiliation(s)
- Andrés Martínez-Maldonado
- Biomedical Research Institute Hospital 12 de Octubre, Cordoba Ave., s/n, 28041 Madrid, Spain; Psychology Department, Education and Health Science Faculty, Camilo José Cela University, Villafranca del Castillo Urb., Castillo de Alarcón St., 49, 28692 Villanueva de la Cañada, Madrid, Spain.
| | - Rosa Jurado-Barba
- Biomedical Research Institute Hospital 12 de Octubre, Cordoba Ave., s/n, 28041 Madrid, Spain; Psychology Department, Education and Health Science Faculty, Camilo José Cela University, Villafranca del Castillo Urb., Castillo de Alarcón St., 49, 28692 Villanueva de la Cañada, Madrid, Spain
| | - Ana Sion
- Biomedical Research Institute Hospital 12 de Octubre, Cordoba Ave., s/n, 28041 Madrid, Spain
| | - Isabel Domínguez-Centeno
- Biomedical Research Institute Hospital 12 de Octubre, Cordoba Ave., s/n, 28041 Madrid, Spain; Psychology Department, Education and Health Science Faculty, Camilo José Cela University, Villafranca del Castillo Urb., Castillo de Alarcón St., 49, 28692 Villanueva de la Cañada, Madrid, Spain
| | - Gabriela Castillo-Parra
- Psychology Department, Education and Health Science Faculty, Camilo José Cela University, Villafranca del Castillo Urb., Castillo de Alarcón St., 49, 28692 Villanueva de la Cañada, Madrid, Spain
| | - Julio Prieto-Montalvo
- Department of Clinical Neurophysiology, Hospital Gregorio Marañon, Dr Esquerdo St., 46, 28007 Madrid, Spain
| | - Gabriel Rubio
- Biomedical Research Institute Hospital 12 de Octubre, Cordoba Ave., s/n, 28041 Madrid, Spain; Medicine Faculty, Complutense de Madrid University, Ramón y Cajal Sq., s/n, 28040 Madrid, Spain; Addictive Disorders Network, Carlos III Institute, Sinesio Delgado St., 4, 28029 Madrid, Spain
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9
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Affan RO, Huang S, Cruz SM, Holcomb LA, Nguyen E, Marinkovic K. High-intensity binge drinking is associated with alterations in spontaneous neural oscillations in young adults. Alcohol 2018; 70:51-60. [PMID: 29778070 DOI: 10.1016/j.alcohol.2018.01.002] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Revised: 01/04/2018] [Accepted: 01/04/2018] [Indexed: 01/07/2023]
Abstract
Heavy episodic alcohol consumption (also termed binge drinking) contributes to a wide range of health and cognitive deficits, but the associated brain-based indices are poorly understood. The current study used electroencephalography (EEG) to examine spontaneous neural oscillations in young adults as a function of quantity, frequency, and the pattern of their alcohol consumption. Sixty-one young adults (23.4 ± 3.4 years of age) were assigned to binge drinking (BD) and light drinking (LD) groups that were equated on gender, race/ethnic identity, age, educational background, and family history of alcoholism. EEG activity was recorded during eyes-open and eyes-closed resting conditions. Each participant's alpha peak frequency (APF) was used to calculate absolute power in individualized theta and alpha frequency bands, with a canonical frequency range used for beta. APF was slower by 0.7 Hz in BD, especially in individuals engaging in high-intensity drinking, but there were no changes in alpha power. BD also exhibited higher frontal theta and beta power than LD. Alpha slowing and increased theta power in BD remained after accounting for depression, anxiety, and personality characteristics, while elevated beta power covaried with sensation seeking. Furthermore, APF slowing and theta power correlated with various measures of alcohol consumption, including binge episodes and blackouts, but not with measures of working and episodic memory, cognitive flexibility, processing speed, or personality variables, suggesting that these physiological changes may be modulated by high-intensity alcohol intake. These results are consistent with studies of alcohol-use disorder (AUD) and support the hypothesis that binge drinking is a transitional stage toward alcohol dependence. The observed thalamocortical dysrhythmia may be indicative of an excitatory-inhibitory imbalance in BD and may potentially serve as an index of the progressive development of AUD, with a goal of informing possible interventions to minimize alcohol's deleterious effects on the brain.
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10
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Direct Assessment of Alcohol Consumption in Mental State Using Brain Computer Interfaces and Grammatical Evolution. INVENTIONS 2018. [DOI: 10.3390/inventions3030051] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Alcohol consumption affects the function of the brain and long-term excessive alcohol intake can lead to severe brain disorders. Wearable electroencephalogram (EEG) recording devices combined with Brain Computer Interface (BCI) software may serve as a tool for alcohol-related brain wave assessment. In this paper, a method for mental state assessment from alcohol-related EEG recordings is proposed. EEG recordings are acquired with the Emotiv EPOC+, after consumption of three separate doses of alcohol. Data from the four stages (alcohol-free and three levels of doses) are processed using the OpenViBE platform. Spectral and statistical features are calculated, and Grammatical Evolution is employed for discrimination across four classes. Obtained results in terms of accuracy reached high levels (89.95%), which renders the proposed approach suitable for direct assessment of the driver’s mental state for road safety and accident avoidance in a potential in-vehicle smart system.
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Hussain L, Aziz W, Saeed S, Shah SA, Nadeem MSA, Awan IA, Abbas A, Majid A, Kazmi SZH. Quantifying the dynamics of electroencephalographic (EEG) signals to distinguish alcoholic and non-alcoholic subjects using an MSE based K-d tree algorithm. ACTA ACUST UNITED AC 2018; 63:481-490. [DOI: 10.1515/bmt-2017-0041] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Accepted: 06/21/2017] [Indexed: 12/12/2022]
Abstract
Abstract
In this paper, we have employed K-d tree algorithmic based multiscale entropy analysis (MSE) to distinguish alcoholic subjects from non-alcoholic ones. Traditional MSE techniques have been used in many applications to quantify the dynamics of physiological time series at multiple temporal scales. However, this algorithm requires O(N2), i.e. exponential time and space complexity which is inefficient for long-term correlations and online application purposes. In the current study, we have employed a recently developed K-d tree approach to compute the entropy at multiple temporal scales. The probability function in the entropy term was converted into an orthogonal range. This study aims to quantify the dynamics of the electroencephalogram (EEG) signals to distinguish the alcoholic subjects from control subjects, by inspecting various coarse grained sequences formed at different time scales, using traditional MSE and comparing the results with fast MSE (fMSE). The performance was also measured in terms of specificity, sensitivity, total accuracy and receiver operating characteristics (ROC). Our findings show that fMSE, with a K-d tree algorithmic approach, improves the reliability of the entropy estimation in comparison with the traditional MSE. Moreover, this new technique is more promising to characterize the physiological changes having an affect at multiple time scales.
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12
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An EEG-based functional connectivity measure for automatic detection of alcohol use disorder. Artif Intell Med 2018; 84:79-89. [DOI: 10.1016/j.artmed.2017.11.002] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 08/15/2017] [Accepted: 11/10/2017] [Indexed: 01/29/2023]
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Mumtaz W, Vuong PL, Malik AS, Rashid RBA. A review on EEG-based methods for screening and diagnosing alcohol use disorder. Cogn Neurodyn 2017; 12:141-156. [PMID: 29564024 DOI: 10.1007/s11571-017-9465-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2016] [Revised: 11/20/2017] [Accepted: 11/29/2017] [Indexed: 01/28/2023] Open
Abstract
The screening test for alcohol use disorder (AUD) patients has been of subjective nature and could be misleading in particular cases such as a misreporting the actual quantity of alcohol intake. Although the neuroimaging modality such as electroencephalography (EEG) has shown promising research results in achieving objectivity during the screening and diagnosis of AUD patients. However, the translation of these findings for clinical applications has been largely understudied and hence less clear. This study advocates the use of EEG as a diagnostic and screening tool for AUD patients that may help the clinicians during clinical decision making. In this context, a comprehensive review on EEG-based methods is provided including related electrophysiological techniques reported in the literature. More specifically, the EEG abnormalities associated with the conditions of AUD patients are summarized. The aim is to explore the potentials of objective techniques involving quantities/features derived from resting EEG, event-related potentials or event-related oscillations data.
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Affiliation(s)
- Wajid Mumtaz
- 1Department of Electrical and Electronic Engineering, Center for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak Malaysia
| | - Pham Lam Vuong
- 1Department of Electrical and Electronic Engineering, Center for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak Malaysia
| | - Aamir Saeed Malik
- 1Department of Electrical and Electronic Engineering, Center for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak Malaysia
| | - Rusdi Bin Abd Rashid
- 2Universiti Malaya, Aras 21, Wisma R&D Universiti Malaya, Jalan Pantai Bharu, 59200 Kuala Lumpur, Malaysia
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14
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15
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Mumtaz W, Vuong PL, Xia L, Malik AS, Rashid RBA. An EEG-based machine learning method to screen alcohol use disorder. Cogn Neurodyn 2017; 11:161-171. [PMID: 28348647 PMCID: PMC5350086 DOI: 10.1007/s11571-016-9416-y] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2015] [Revised: 09/30/2016] [Accepted: 10/14/2016] [Indexed: 01/19/2023] Open
Abstract
Screening alcohol use disorder (AUD) patients has been challenging due to the subjectivity involved in the process. Hence, robust and objective methods are needed to automate the screening of AUD patients. In this paper, a machine learning method is proposed that utilized resting-state electroencephalography (EEG)-derived features as input data to classify the AUD patients and healthy controls and to perform automatic screening of AUD patients. In this context, the EEG data were recorded during 5 min of eyes closed and 5 min of eyes open conditions. For this purpose, 30 AUD patients and 15 aged-matched healthy controls were recruited. After preprocessing the EEG data, EEG features such as inter-hemispheric coherences and spectral power for EEG delta, theta, alpha, beta and gamma bands were computed involving 19 scalp locations. The selection of most discriminant features was performed with a rank-based feature selection method assigning a weight value to each feature according to a criterion, i.e., receiver operating characteristics curve. For example, a feature with large weight was considered more relevant to the target labels than a feature with less weight. Therefore, a reduced set of most discriminant features was identified and further be utilized during classification of AUD patients and healthy controls. As results, the inter-hemispheric coherences between the brain regions were found significantly different between the study groups and provided high classification efficiency (Accuracy = 80.8, sensitivity = 82.5, and specificity = 80, F-Measure = 0.78). In addition, the power computed in different EEG bands were found significant and provided an overall classification efficiency as (Accuracy = 86.6, sensitivity = 95, specificity = 82.5, and F-Measure = 0.88). Further, the integration of these EEG feature resulted into even higher results (Accuracy = 89.3 %, sensitivity = 88.5 %, specificity = 91 %, and F-Measure = 0.90). Based on the results, it is concluded that the EEG data (integration of the theta, beta, and gamma power and inter-hemispheric coherence) could be utilized as objective markers to screen the AUD patients and healthy controls.
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Affiliation(s)
- Wajid Mumtaz
- Center for Intelligent Signal and Imaging Research (CISIR), Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, 32610 Bandar Seri Iskandar, Perak Malaysia
| | - Pham Lam Vuong
- Center for Intelligent Signal and Imaging Research (CISIR), Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, 32610 Bandar Seri Iskandar, Perak Malaysia
| | - Likun Xia
- Beijing Institute of Technology, Beijing, 100081 China
| | - Aamir Saeed Malik
- Center for Intelligent Signal and Imaging Research (CISIR), Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, 32610 Bandar Seri Iskandar, Perak Malaysia
| | - Rusdi Bin Abd Rashid
- University Malaya Centre of Addiction Sciences (UMCAS), Faculty of Medicine, Department of Psychological Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
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Lackner N, Unterrainer HF, Skliris D, Wood G, Wallner-Liebmann SJ, Neuper C, Gruzelier JH. The Effectiveness of Visual Short-Time Neurofeedback on Brain Activity and Clinical Characteristics in Alcohol Use Disorders: Practical Issues and Results. Clin EEG Neurosci 2016; 47:188-95. [PMID: 26415612 DOI: 10.1177/1550059415605686] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2015] [Accepted: 08/03/2015] [Indexed: 11/17/2022]
Abstract
The present study was carried out to examine the efficacy of alpha/theta neurofeedback (NF) with a new visual paradigm in a cohort of alcohol use disordered (AUD) patients (n = 25) treated in an Austrian therapeutic community center. The experimental study design focused on changes in absolute and relative resting EEG band power as well as in clinical variables, including depression (Beck Depresion Inventory [BDI-V]), psychiatric symptoms (Brief Symptom Inventory [BSI], coping (Freiburg Questionnaire on Coping with Illness [FKV-lis]), psychotherapy motivation (Therapy Motivation Questionnaire [FPTM-23]), sense of coherence (Sense of Coherence Scale [SOC-13]), posttraumatic growth (Posttraumatic Growth Inventory [PPR]), and alcohol cravings (Alcohol Craving Questionnaire [ACQ]). For measuring training effects, participants were randomly allocated to 2 groups: an experimental group (EG, n = 13) and a control group (CG, n = 12). Patients in EG received 12 sessions of visual NF training over a period of 6 weeks to enhance alpha (8-12 Hz) and theta (4-7 Hz) frequency band power in addition to the standard treatment program of the rehabilitation center. Participants in CG received no additional NF intervention. The multivariate analysis of covariance (MANCOVA) showed a change by trend in absolute alpha and theta power in the EG. Even though no MANCOVA effects were found in the clinical scales, AUD patients reported increasing control of their brain activity during the course of NF. However, changes in several clinical scales (BDI-V, BSI, FKV-lis, PPR) from pre- to posttest were observed only in the EG contrary to the CG. The findings of this pilot study provide first evidence for the practicality and effectiveness of visual short-term NF as an additive intervention in the therapeutic community.
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Affiliation(s)
- Nina Lackner
- University Clinic of Psychiatry, Medical University Graz, Graz, Austria Department of Neuropsychology, Karl-Franzens University, Graz, Austria
| | - Human F Unterrainer
- University Clinic of Psychiatry, Medical University Graz, Graz, Austria Center for Integrative Addiction Research, Vienna, Austria
| | - Dimitris Skliris
- Department of Neuropsychology, Karl-Franzens University, Graz, Austria
| | - Guilherme Wood
- Department of Neuropsychology, Karl-Franzens University, Graz, Austria
| | | | - Christa Neuper
- Department of Neuropsychology, Karl-Franzens University, Graz, Austria
| | - John H Gruzelier
- Psychology Department, Goldsmiths, University of London, London, UK
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17
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Herrera-Díaz A, Mendoza-Quiñones R, Melie-Garcia L, Martínez-Montes E, Sanabria-Diaz G, Romero-Quintana Y, Salazar-Guerra I, Carballoso-Acosta M, Caballero-Moreno A. Functional Connectivity and Quantitative EEG in Women with Alcohol Use Disorders: A Resting-State Study. Brain Topogr 2015; 29:368-81. [PMID: 26660886 DOI: 10.1007/s10548-015-0467-x] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2014] [Accepted: 11/24/2015] [Indexed: 12/13/2022]
Abstract
This study was aimed at exploring the electroencephalographic features associated with alcohol use disorders (AUD) during a resting-state condition, by using quantitative EEG and Functional Connectivity analyses. In addition, we explored whether EEG functional connectivity is associated with trait impulsivity. Absolute and relative powers and Synchronization Likelihood (SL) as a measure of functional connectivity were analyzed in 15 AUD women and fifteen controls matched in age, gender and education. Correlation analysis between self-report impulsivity as measured by the Barratt impulsiveness Scale (BIS-11) and SL values of AUD patients were performed. Our results showed increased absolute and relative beta power in AUD patients compared to matched controls, and reduced functional connectivity in AUD patients predominantly in the beta and alpha bands. Impaired connectivity was distributed at fronto-central and occipito-parietal regions in the alpha band, and over the entire scalp in the beta band. We also found that impaired functional connectivity particularly in alpha band at fronto-central areas was negative correlated with non-planning dimension of impulsivity. These findings suggest that functional brain abnormalities are present in AUD patients and a disruption of resting-state EEG functional connectivity is associated with psychopathological traits of addictive behavior.
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Affiliation(s)
| | | | - Lester Melie-Garcia
- LREN, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Eduardo Martínez-Montes
- Department of Neuroinformatics, Cuban Neuroscience Center, Havana, Cuba.,Politecnico di Torino, Turin, Italy
| | - Gretel Sanabria-Diaz
- LREN, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV), Lausanne, Switzerland
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18
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Miller DK, Bowirrat A, Manka M, Miller M, Stokes S, Manka D, Allen C, Gant C, Downs BW, Smolen A, Stevens E, Yeldandi S, Blum K. Acute Intravenous Synaptamine Complex Variant KB220™ “Normalizes” Neurological Dysregulation in Patients during Protracted Abstinence from Alcohol and Opiates as Observed Using Quantitative Electroencephalographic and Genetic Analysis for Reward Polymorphisms: Part 1, Pilot Study with 2 Case Reports. Postgrad Med 2015; 122:188-213. [DOI: 10.3810/pgm.2010.11.2236] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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19
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Correas A, Rodriguez Holguín S, Cuesta P, López-Caneda E, García-Moreno LM, Cadaveira F, Maestú F. Exploratory Analysis of Power Spectrum and Functional Connectivity During Resting State in Young Binge Drinkers: A MEG Study. Int J Neural Syst 2015; 25:1550008. [PMID: 25753601 DOI: 10.1142/s0129065715500082] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Binge Drinking (BD) is a pattern of intermittent intensive alcohol intake which has spread among young adults over the last decades. Adolescence constitutes a critical neuromaturation period in which the brain is particularly sensitive to the effects of alcohol. However, little is known about how BD affects the brain activity. This study aimed to characterize the brain's functional organization in BD and non-BD young population by means of analyzing functional connectivity (FC) and relative power spectra (PS) profiles measured with magnetoencephalography (MEG) during eyes-closed resting state. Our sample composed 73 first-year university students (35 BDs and 38 controls). Results showed that the BD subjects displayed a decreased alpha FC in frontal-parietal regions, and conversely, an enhanced FC in the delta, theta and beta bands in fronto-temporal networks. Besides the FC differences, the BD group showed a decreased PS within alpha range and an increased PS within theta range in the brain's occipital region. These differences in FC and PS measurements provide new evidence of the neurophysiological alterations related to the alcohol neurotoxicity and could represent an initial sign of an anomalous neural activity caused by a BD pattern of alcohol consumption during youth.
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Affiliation(s)
- A Correas
- Laboratory of Cognitive and Computational Neuroscience, Centre of Biomedical Technology (CTB), Campus Montegancedo s/n, 28223, Madrid, Spain
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20
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Waite RL, Oscar-Berman M, RBraverman E, Barh D, Blum K. Quantitative Electroencephalography Analysis (qEEG) of Neuro-Electro-Adaptive Therapy 12™ [NEAT12] Up-Regulates Cortical Potentials in an Alcoholic during Protracted Abstinence: Putative Anti-Craving Implications. ACTA ACUST UNITED AC 2014; 5:1-7. [PMID: 25927012 PMCID: PMC4410813 DOI: 10.4172/2155-6105.1000171] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
INTRODUCTION Cranial electrotherapy stimulation (CES) is a noninvasive therapy that has been used for decades in the United States to treat anxiety, depression, and insomnia in the general population. The effectiveness of CES has been questioned by many and its use is considered controversial. In this study we are presenting data on one alcoholic patient using a newly engineered device we call Neuro-Electro-Adaptive Therapy 12™ [NEAT12]. This hybrid device utilizes TENS current characteristics yielding CES effects. This device has been found to primarily target the excitation of the Cingulate Gyrus region of the brain. CASE PRESENTATION This is a 42 year old male who has been abstinent from alcohol for approximately two months. The data presented herein represents the pre to post qEEG differences of an alcoholic in protracted abstinence. This subject was evaluated both before and after using the NEAT-12 device. The pre to post comparisons suggest that the cortical potentials especially at the Cingulate Gyrus are up regulated after using the device. The absolute power changes obtained shows a decrease of more than 2 SD as noted in the delta wave spectrum. Also noted is an overall cortical increase in the alpha spectrum. The resting alert state of a neuro typical population is most prominently marked by a regulation of 7.5-11 Hz alpha throughout the cortex. The decreased in delta and theta suggests an up regulation of the prefrontal cortex and the anterior Cingulate Gyrus a site involved in substance use disorder (SUD). CONCLUSION A presence of dominant slow waves through the prefrontal cortex and the anterior Cingulate Gyrus is often associated with OCD, anxiety, impulsivity and cravings in addicted populations. It is conceivable that our initial finding of altered electrical activity of the brain using qEEG analysis suggests the NEAT-12 may induce a "normalization" of aberrant electrical activity of the cortical region of the brain known to occur during protracted abstinence of alcoholics. It may have utility as a putative anti-craving CES device and therefore warrants intensive investigation.
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Affiliation(s)
- Roger L Waite
- Department of Nutrigenomic Research, Bio-Clarity, LLC, San Diego, California USA
| | - Marlene Oscar-Berman
- Department of Psychiatry and Neurology, Boston University School of Medicine and Veterans Administration System, Boston, Massachusetts, USA
| | - Eric RBraverman
- Department of Psychiatry, University of Florida, College of Medicine and McKnight Brain Institute, Gainesville, Florida, USA ; Path Foundation NY, New York, New York, USA
| | - Debmalya Barh
- Center for Genomics and Applied Gene Therapy, Institute of Integrative Omics and Applied Biotechnology (IIOAB),Nonakuri, Purba Medinipur, West Bengal, India
| | - Kenneth Blum
- Department of Nutrigenomic Research, Bio-Clarity, LLC, San Diego, California USA ; Department of Psychiatry, University of Florida, College of Medicine and McKnight Brain Institute, Gainesville, Florida, USA ; Center for Genomics and Applied Gene Therapy, Institute of Integrative Omics and Applied Biotechnology (IIOAB),Nonakuri, Purba Medinipur, West Bengal, India ; Department of Addiction Research & Therapy, Malibu Beach Recovery Center, Malibu Beach, California, USA ; Dominion Diagnostics, LLC, North Kingstown, Rhode Island, USA ; Path Foundation NY, New York, New York, USA
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21
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Rangaswamy M, Porjesz B. Understanding alcohol use disorders with neuroelectrophysiology. HANDBOOK OF CLINICAL NEUROLOGY 2014; 125:383-414. [PMID: 25307587 DOI: 10.1016/b978-0-444-62619-6.00023-9] [Citation(s) in RCA: 65] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Neurocognitive deficits associated with impairments in various brain regions and neural circuitries, particularly involving frontal lobes, have been associated with chronic alcoholism, as well as with a predisposition to develop alcohol use and related disorders (AUDs). AUD is a multifactorial disorder caused by complex interactions between behavioral, genetic, and environmental liabilities. Neuroelectrophysiologic techniques are instrumental in understanding brain and behavior relationships and have also proved very useful in evaluating the genetic diathesis of alcoholism. This chapter describes findings from neuroelectrophysiologic measures (electroencephalogram, event-related potentials, and event-related oscillations) related to acute and chronic effects of alcohol on the brain and those that reflect underlying deficits related to a predisposition to develop AUDs and related disorders. The utility of these measures as effective endophenotypes to identify and understand genes associated with brain electrophysiology, cognitive networks, and AUDs has also been discussed.
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Affiliation(s)
- Madhavi Rangaswamy
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY, USA
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY, USA.
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22
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Alcoholism-related alterations in spectrum, coherence, and phase synchrony of topical electroencephalogram. Comput Biol Med 2012; 42:394-401. [DOI: 10.1016/j.compbiomed.2011.12.006] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2011] [Revised: 12/06/2011] [Accepted: 12/08/2011] [Indexed: 11/22/2022]
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23
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Sakkalis V. Review of advanced techniques for the estimation of brain connectivity measured with EEG/MEG. Comput Biol Med 2011; 41:1110-7. [PMID: 21794851 DOI: 10.1016/j.compbiomed.2011.06.020] [Citation(s) in RCA: 312] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2010] [Revised: 06/16/2011] [Accepted: 06/30/2011] [Indexed: 10/17/2022]
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24
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Sanz-Martin A, Guevara MÁ, Amezcua C, Santana G, Hernández-González M. Effects of red wine on the electrical activity and functional coupling between prefrontal–parietal cortices in young men. Appetite 2011; 57:84-93. [DOI: 10.1016/j.appet.2011.04.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2010] [Revised: 03/23/2011] [Accepted: 04/09/2011] [Indexed: 11/26/2022]
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25
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Sakkalis V. Applied strategies towards EEG/MEG biomarker identification in clinical and cognitive research. Biomark Med 2011; 5:93-105. [PMID: 21319971 DOI: 10.2217/bmm.10.121] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
As the underlying causes of several neuronal disorders and neurodegenerative diseases still remain, to some extent, unknown and no accurate diagnostic tests are available, the identification of prognostic and predictive neurophysiological biomarkers has attracted tremendous interest. The continuous advancement of neuroscience methods applied in EEG and magnetoencephalography has been successful in capturing brain processes and identifying persistent cognitive deficits. In this article, the most promising approaches of this rapidly evolving field, along with some indicative clinical applications in major neuropathophysiological disorders, are reviewed. Such strategies for biomarker identification will lead the way to future clinical applications even if, currently, EEG biomarkers are in a premature state.
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Affiliation(s)
- Vangelis Sakkalis
- Institute of Computer Science, Foundation for Research & Technology, Science & Technology Park of Crete, Vassilika Vouton, Heraklion, Greece.
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26
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Molnár M, Boha R, Czigler B, Gaál ZA, Benyovszky M, Róna K, Klausz G. The acute effect of low-dose alcohol on working memory during mental arithmetic: II. Changes of nonlinear and linear EEG-complexity in the theta band, heart rate and electrodermal activity. Int J Psychophysiol 2009; 73:138-42. [PMID: 19414053 DOI: 10.1016/j.ijpsycho.2009.02.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2008] [Accepted: 02/11/2009] [Indexed: 10/20/2022]
Abstract
OBJECTIVE AND HYPOTHESIS Nonlinear and linear methods of EEG-complexity analysis and autonomic measures were used to characterize processes accompanying performance in a mental arithmetic task challenged by low ("social") alcohol doses. It was expected that alcohol in such doses will dampen changes of task-related EEG-synchronization in the theta band, and those of heart rate and electrodermal activity (EDA). METHODS In the mental arithmetic task addition and working memory, effort was required. The EEG, ECG and EDA were recorded in 5 conditions: task, placebo-task, low dose-task (0.2 g/kg alcohol), high dose-task (0.4 g/kg alcohol). Omega-complexity and synchronization likelihood (SL) were computed of the theta band of the EEG. RESULTS Task-related decrease of the Omega-complexity and increase of the SL was found in the theta frequency band. Following alcohol consumption, these changes did not develop as seen especially for SL in the anterior area, although the significant effects were elicited by task performance. Conspicuous task-evoked increases were observed for ECG and EDA which were even more enhanced by alcohol. CONCLUSIONS Task-induced significant changes of the Omega-complexity and that of SL indicate increased synchrony in the theta band, probably corresponding to working memory effort. Both of these measures proved to be sensitive for the effect of low alcohol dose although these alcohol-elicited changes were not statistically significant. Task-induced heart rate and EDA increases were further intensified by alcohol probably indicating its activating effect on these autonomic measures in the dose range studied.
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Affiliation(s)
- Márk Molnár
- Institute for Psychology, Hungarian Academy of Sciences, Budapest, Hungary
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27
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Kramer G, van der Flier WM, de Langen C, Blankenstein MA, Scheltens P, Stam CJ. EEG functional connectivity and ApoE genotype in Alzheimer's disease and controls. Clin Neurophysiol 2008; 119:2727-32. [PMID: 18848805 DOI: 10.1016/j.clinph.2008.08.019] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2007] [Revised: 08/18/2008] [Accepted: 08/23/2008] [Indexed: 10/21/2022]
Abstract
OBJECTIVE We examined the relation between Apolipoprotein E epsilon4 allele (ApoE epsilon4) genotype and functional connectivity measured by Electroencephalography (EEG) in patients with Alzheimer's disease (AD) and patients with subjective complaints (SC). METHODS We included 43 patients with AD (age (SD)=74.2 (4.0), m/f=22/21; 30 of ApoE epsilon4 carriers) and 21 patients with SC (age (SD)=73.2 (5.2), m/f=13/8; 7 ApoE epsilon4 carriers) for this study. Resting state EEGs were recorded in all subjects. Synchronisation likelihood (SL) between local cortical areas was compared in the alpha and beta band according to ApoE epsilon4 status and diagnosis. RESULTS ApoE epsilon4 carriers had higher SL values in lower and upper alpha band, in both diagnostic groups. In upper alpha band and beta band AD patients had lower SL than patients with SC, was irrespective of ApoE status. CONCLUSION The effects of AD and ApoE epsilon4 on functional connectivity are opposite and independent. SIGNIFICANCE The observed increase in SL in both AD and patients with SC carrying ApoE epsilon4 suggests a strong genetic impact of ApoE epsilon4 on brain function.
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Affiliation(s)
- Gerdien Kramer
- Department of Neurology, Alzheimer Centre, VU University Medical Center, PO Box 7057, De Boelelaan 1118, 1007 MB Amsterdam, Noord Holland, The Netherlands
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28
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Cannon R, Lubar J, Baldwin D. Self-perception and Experiential Schemata in the Addicted Brain. Appl Psychophysiol Biofeedback 2008; 33:223-38. [DOI: 10.1007/s10484-008-9067-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2008] [Accepted: 09/17/2008] [Indexed: 11/25/2022]
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29
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Sokhadze TM, Cannon RL, Trudeau DL. EEG Biofeedback as a Treatment for Substance Use Disorders: Review, Rating of Efficacy and Recommendations for Further Research. ACTA ACUST UNITED AC 2008. [DOI: 10.1080/10874200802219855] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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30
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Sakkalis V, Tsiaras V, Zervakis M, Tollis I. Optimal brain network synchrony visualization: application in an alcoholism paradigm. ACTA ACUST UNITED AC 2008; 2007:4285-8. [PMID: 18002949 DOI: 10.1109/iembs.2007.4353283] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Although Electroencephalographic (EEG) signal synchronization studies have been a topic of increasing interest lately, there is no similar effort in the visualization of such measures. In this direction a graph-theoretic approach devised to study and stress the coupling dynamics of task-performing dynamical networks is proposed. Both linear and nonlinear interdependence measures are investigated in an alcoholism paradigm during mental rehearsal of pictures, which is known to reflect synchronization impairment. More specifically, the widely used magnitude squared coherence; phase synchronization and a robust nonlinear state-space generalized synchronization assessment method are investigated. This paper mostly focuses on a signal-based technique of selecting the optimal visualization threshold using surrogate datasets to correctly identify the most significant correlation patterns. Furthermore, a graph statistical parameter attempts to capture and quantify collective motifs present in the functional brain network. The results are in accordance with previous psychophysiology studies suggesting that an alcoholic subject has impaired synchronization of brain activity and loss of lateralization during the rehearsal process, most prominently in alpha (8-12 Hz) band, as compared to a control subject. Lower beta (13-30 Hz) synchronization was also evident in the alcoholic subject.
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Affiliation(s)
- Vangelis Sakkalis
- Institute of Computer Science, Foundation for Research and Technology, Heraklion 71110, Greece.
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31
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Sokhadze TM, Cannon RL, Trudeau DL. EEG biofeedback as a treatment for substance use disorders: review, rating of efficacy, and recommendations for further research. Appl Psychophysiol Biofeedback 2008; 33:1-28. [PMID: 18214670 PMCID: PMC2259255 DOI: 10.1007/s10484-007-9047-5] [Citation(s) in RCA: 94] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2007] [Accepted: 12/19/2007] [Indexed: 12/01/2022]
Abstract
Electroencephalographic (EEG) biofeedback has been employed in substance use disorder (SUD) over the last three decades. The SUD is a complex series of disorders with frequent comorbidities and EEG abnormalities of several types. EEG biofeedback has been employed in conjunction with other therapies and may be useful in enhancing certain outcomes of therapy. Based on published clinical studies and employing efficacy criteria adapted by the Association for Applied Psychophysiology and Biofeedback and the International Society for Neurofeedback and Research, alpha theta training-either alone for alcoholism or in combination with beta training for stimulant and mixed substance abuse and combined with residential treatment programs, is probably efficacious. Considerations of further research design taking these factors into account are discussed and descriptions of contemporary research are given.
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Affiliation(s)
- Tato M Sokhadze
- Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, KY, USA.
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32
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Bijl S, de Bruin EA, Böcker KE, Kenemans JL, Verbaten MN. Effects of chronic drinking on verb generation: an event related potential study. Hum Psychopharmacol 2007; 22:157-66. [PMID: 17397096 DOI: 10.1002/hup.835] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
In alcohol dependent individuals, abnormalities in brain functioning have been revealed using event-related potential (ERP) methods. In the present study, we investigated whether in non-alcohol dependent drinkers functioning of the brain is also compromised as a function of recent and lifetime drinking history (LDH). An ERP verb generation task consisting of two conditions (generating verbs describing the use of visually presented nouns versus reading nouns aloud) was used; subtracting ERPs in the latter condition from those in the former should reveal the sequence of brain processes involved in verb generation. Four groups were included, consisting of individuals drinking either lightly, moderately, heavily, or excessively (overall mean age 46.6 years). Participants were sober at the time of testing. Although the excessive group had the highest per cent retrieval errors, there was no continuous relationship between this score and amount of alcohol consumption. However, number of glasses per week affected differential ERPs associated with verb generation both at short (120-220 ms, mid-frontal sites) and at longer latencies (from 700 ms on),left-temporal and right-frontal electrode sites (T7, F6). It is concluded that moderate, heavy, and excessive drinkers, compared to light drinkers, show abnormal brain potentials associated with verb generation over frontal and temporal areas. Moderate to excessive drinking alters some but not all brain processes involved in verb generation. In particular the frontal and temporal brain areas appear to be vulnerable for the effects of chronic lifetime drinking.
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Affiliation(s)
- Suzanne Bijl
- Department of Psychopharmacology, Utrecht University, Utrecht, The Netherlands
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