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Rojas Bernal LA, Santamaría García H, Castaño Pérez GA. Electrophysiological biomarkers in dual pathology. REVISTA COLOMBIANA DE PSIQUIATRIA (ENGLISH ED.) 2024; 53:93-102. [PMID: 38677941 DOI: 10.1016/j.rcpeng.2024.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 01/12/2022] [Indexed: 04/29/2024]
Abstract
INTRODUCTION The co-occurrence of substance use disorder with at least one other mental disorder is called dual pathology, which in turn is characterised by heterogeneous symptoms that are difficult to diagnose and have a poor response to treatment. For this reason, the identification and validation of biomarkers is necessary. Within this group, possible electroencephalographic biomarkers have been reported to be useful in diagnosis, treatment and follow-up, both in neuropsychiatric conditions and in substance use disorders. This article aims to review the existing literature on electroencephalographic biomarkers in dual pathology. METHODS A narrative review of the literature. A bibliographic search was performed on the PubMed, Science Direct, OVID, BIREME and Scielo databases, with the keywords: electrophysiological biomarker and substance use disorder, electrophysiological biomarker and mental disorders, biomarker and dual pathology, biomarker and substance use disorder, electroencephalography, and substance use disorder or comorbid mental disorder. RESULTS Given the greater amount of literature found in relation to electroencephalography as a biomarker of mental illness and substance use disorders, and the few articles found on dual pathology, the evidence is organised as a biomarker in psychiatry for the diagnosis and prediction of risk and as a biomarker for dual pathology. CONCLUSIONS Although the evidence is not conclusive, it suggests the existence of a subset of sites and mechanisms where the effects of psychoactive substances and the neurobiology of some mental disorders could overlap or interact.
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Affiliation(s)
| | - Hernando Santamaría García
- Centro de Memoria y Cognición Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia; Departamento de Psiquiatría y Fisiología, Universidad Pontificia Javeriana, Bogotá, Colombia
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Cognitive impairment in the co-occurrence of alcohol dependence and major depression: neuropsychological assessment and event-related potentials analyses. Heliyon 2022; 8:e09899. [PMID: 35874061 PMCID: PMC9305349 DOI: 10.1016/j.heliyon.2022.e09899] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 11/25/2021] [Accepted: 07/01/2022] [Indexed: 11/21/2022] Open
Abstract
To evaluate the putative detrimental effect of Major Depressive Disorder (MDD) on the cognitive impairment associated with Alcohol Dependence (AD), we contrasted the neuropsychological profile and behavioral responses of AD subjects, MDD individuals, and in those with a co-occurring AD-MDD diagnosis (DD). Patients and healthy subjects completed a comprehensive neuropsychological battery and were recorded for P200, P300, and N450 event-related potentials during memory and Stroop tasks. AD subjects exhibited a generalized detrimental neuropsychological performance; in contrast, in MDD individuals, impairment was limited to discrete domains. Notably, the deficits were distinctive in DD cases. A P200 increased amplitude in MDD, a decrease in P300 amplitude in AD, and increased latency of P300 in DD patients were the overt electrophysiological abnormalities identified. Dual patients also exhibited a distinct pattern of behavioral responses, particularly apparent during high-demand cognitive tasks. Specific ERP adjustments were associated with the short-term fluoxetine treatment in DD and MDD subjects; the SSRI also improved altered baseline performance in learning and cognitive flexibility in DD subjects. In conclusion, the neuropsychological and behavioral alterations detected in the co-occurrence of AD-MDD did not seem to be merely the sum of the negative contributions of the independent disorders. Dual diagnosis (DD) patients exhibited a distinctive pattern of cognitive impairments compared to single diagnosis subjects. The ERP alterations identified were not shared among affected groups. Dual patients exhibited idiosyncratic behavioral responses. Impaired executive functions in DD subjects improved with SSRI medication. Neuropsychological and behavioral alterations are not explained as the sum of negative contributions of individual diagnosis.
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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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Ehlers CL, Phillips E, Kim C, Wills DN, Karriker-Jaffe KJ, Gilder DA. CR-19-0950: Event-related responses to alcohol-related stimuli in Mexican-American young adults: Relation to age, gender, comorbidity and "dark side" symptoms. Drug Alcohol Depend 2019; 202:76-86. [PMID: 31323376 PMCID: PMC6685752 DOI: 10.1016/j.drugalcdep.2019.06.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 06/14/2019] [Accepted: 06/29/2019] [Indexed: 12/15/2022]
Abstract
BACKGROUND Electrophysiological variables may represent sensitive biomarkers of vulnerability to or endophenotypes for alcohol use disorders (AUD). METHODS Young adults (age 18-30 yrs, n = 580) of Mexican American heritage were assessed with the Semi-Structured Assessment for the Genetics of Alcoholism and event-related oscillations (EROs) generated in response to a task that used pictures of objects, food, and alcohol-related and non-alcohol-related drinks as stimuli. RESULTS Decreases in energy in the alpha and beta frequencies and higher phase synchrony within cortical brain areas were seen in response to the alcohol-related as compared to the non-alcohol-related stimuli. Differences in ERO energy and synchrony responses to alcohol-related stimuli were also found as a function of age, sex, AUD status and comorbidity. Age-related decreases in energy and increases in synchrony were found. Females had significantly higher energy and lower synchrony values than males. Participants with AUD had higher synchrony values specifically in the beta frequencies, whereas those with a lifetime diagnosis of conduct disorder and/or antisocial personality disorder had lower alpha power and synchrony, and those with any affective disorder had lower ERO energy in the beta frequencies. Those with substance-associated affective "dark-side" symptoms had slower reaction times to the task, lower energy in the beta frequencies, lower local synchrony in the theta frequencies, and higher long-range synchrony in the delta and beta frequencies. CONCLUSIONS These findings suggest that EROs recorded to alcohol-related stimuli may be biomarkers of comorbid risk factors, symptoms and disorders associated with AUD that also can differentiate those with "dark-side symptoms".
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Affiliation(s)
- Cindy L. Ehlers
- Neurosciences Department, The Scripps Research Institute, La Jolla, CA 92037, USA,Corresponding author: Dr. Cindy L. Ehlers, TSRI, 10550 North Torrey Pines Road, La Jolla, CA 92037 USA, Telephone: (858) 784-7058; Fax: (858) 784-7409;
| | - Evelyn Phillips
- Neurosciences Department, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Corinne Kim
- Neurosciences Department, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Derek N. Wills
- Neurosciences Department, The Scripps Research Institute, La Jolla, CA 92037, USA
| | | | - David A. Gilder
- Neurosciences Department, The Scripps Research Institute, La Jolla, CA 92037, USA
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Yang P, Tao R, He C, Liu S, Wang Y, Zhang X. The Risk Factors of the Alcohol Use Disorders-Through Review of Its Comorbidities. Front Neurosci 2018; 12:303. [PMID: 29867316 PMCID: PMC5958183 DOI: 10.3389/fnins.2018.00303] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2017] [Accepted: 04/18/2018] [Indexed: 01/01/2023] Open
Abstract
Alcohol use disorders (AUDs) represent a severe, world-wide problem, and are usually comorbid with psychiatric disorders, comorbidity increases the risks associated with AUDs, and results in more serious consequences for patients. However, currently the underlying mechanisms of comorbid psychiatric disorders in AUDs are not clear. Studies investigating comorbidity could help us understand the neural mechanisms of AUDs. In this review, we explore three comorbidities in AUDs, including schizophrenia, major depressive disorder (MDD), and personality disorders (PDs). They are all co-morbidities of AUDs with rate of 33.7, 28, and 50–70%, respectively. The rate is significantly higher than other diseases. Therefore we review and analyze relevant literature to explore whether these three diseases are the risk factors of AUDs, focusing on studies assessing cognitive function and those using neural imaging. We found that memory deficits, impairment of cognitive control, negative emotion, and impulsivity may increase an individual's vulnerability to AUDs. This comorbidity may indicate the neural basis of AUDs and reveal characteristics associated with different types of comorbidity, leading to further development of new treatment approaches for AUDs.
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Affiliation(s)
- Ping Yang
- Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, Hefei, China
| | - Rui Tao
- Department of Substance-Related Disorders, Anhui Mental Health Center, Hefei, China
| | - Chengsen He
- Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, Hefei, China
| | - Shen Liu
- Key Laboratory of Brain Function and Disease, School of Life Sciences, University of Science and Technology of China, Chinese Academy of Sciences, Hefei, China
| | - Ying Wang
- Key Laboratory of Brain Function and Disease, School of Life Sciences, University of Science and Technology of China, Chinese Academy of Sciences, Hefei, China
| | - Xiaochu Zhang
- Key Laboratory of Brain Function and Disease, School of Life Sciences, University of Science and Technology of China, Chinese Academy of Sciences, Hefei, China
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