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Rubio M, Sion A, Centeno ID, Sánchez DM, Rubio G, Luijten M, Barba RJ. Vulnerable at rest? A resting-state EEG study and psychosocial factors of young adult offspring of alcohol-dependent parents. Behav Brain Res 2024; 466:114980. [PMID: 38580199 DOI: 10.1016/j.bbr.2024.114980] [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: 11/20/2023] [Revised: 03/31/2024] [Accepted: 04/02/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND Offspring of parents with alcohol use disorder (AUD) are more susceptible to developing AUD, with an estimated heritability of around 50%. Vulnerability to AUD in first-degree relatives is influenced by biological factors, such as spontaneous brain activity, and high-risk psychosocial characteristics. However, existing resting-state EEG studies in AUD offspring have shown inconsistent findings regarding theta, alpha, and beta band frequencies. Additionally, research consistently demonstrates an increased risk of internalizing and externalizing disorders, self-regulation difficulties, and interpersonal issues among AUD offspring. METHODS This study aimed to investigate the absolute power of theta, alpha, and beta frequencies in young adult offspring with a family history of AUD compared to individuals without family history. The psychosocial profiles of the offspring were also examined in relation to individuals without a family history of AUD. Furthermore, the study sought to explore the potential association between differences in frequency bands and psychosocial variables. Resting-state EEG recordings were obtained from 31 young adult healthy offspring of alcohol-dependent individuals and 43 participants with no family history of AUD (age range: 16-25 years). Participants also completed self-report questionnaires assessing anxiety and depressive symptoms, impulsivity, emotion regulation, and social involvement. RESULTS The results revealed no significant differences in spontaneous brain activity between the offspring and participants without a family history of AUD. However, in terms of psychosocial factors, the offspring exhibited significantly lower social involvement than the control group. CONCLUSIONS This study does not provide evidence suggesting vulnerability in offspring based on differences in spontaneous brain activity. Moreover, this investigation highlights the importance of interventions aimed at enhancing social connections in offspring. Such interventions can not only reduce the risk of developing AUD, given its strong association with increased feelings of loneliness but also improve the overall well-being of the offspring.
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Affiliation(s)
- Milagros Rubio
- Behavioural Science Institute, Radboud University, Nijmegen, the Netherlands; 12 de Octubre Biomedical Research Institute, Madrid, Spain.
| | - Ana Sion
- 12 de Octubre Biomedical Research Institute, Madrid, Spain; Department of Psychobiology and Methodology in Behavioral Sciences, Universidad Complutense de Madrid, Madrid, Spain
| | | | | | - Gabriel Rubio
- 12 de Octubre Biomedical Research Institute, Madrid, Spain; Medicine Faculty, Universidad Complutense de Madrid, Madrid, Spain
| | - Maartje Luijten
- Behavioural Science Institute, Radboud University, Nijmegen, the Netherlands
| | - Rosa Jurado Barba
- 12 de Octubre Biomedical Research Institute, Madrid, Spain; Psychology Department, Health Science Faculty, Universidad Camilo José Cela, Madrid, Spain
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Chizhikova AA. [Electroencephalography: features of the obtained data and its applicability in psychiatry]. Zh Nevrol Psikhiatr Im S S Korsakova 2024; 124:31-39. [PMID: 38884427 DOI: 10.17116/jnevro202412405131] [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] [Indexed: 06/18/2024]
Abstract
Presently, there is an increased interest in expanding the range of diagnostic and scientific applications of electroencephalography (EEG). The method is attractive due to non-invasiveness, availability of equipment with a wide range of modifications for various purposes, and the ability to track the dynamics of brain electrical activity directly and with high temporal resolution. Spectral, coherency and other types of analysis provide volumetric information about its power, frequency distribution, spatial organization of signal and its self-similarity in dynamics or in different sections at a time. The development of computing technologies provides processing of volumetric data obtained using EEG and a qualitatively new level of their analysis using various mathematical models. This review discusses benefits and limitations of using the EEG in scientific research, currently known interpretation of the obtained data and its physiological and pathological correlates. It is expected to determine the complex relationship between the parameters of brain electrical activity and various functional and pathological conditions. The possibility of using EEG characteristics as biomarkers of various physiological and pathological conditions is being considered. Electronic databases, including MEDLINE (on PubMed), Google Scholar and Russian Scientific Citation Index (RSCI, on elibrary.ru), scientific journals and books were searched to find relevant studies.
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Affiliation(s)
- A A Chizhikova
- Centre for Strategic Planning and Management of Biomedical Health Risks of the Federal Medical Biological Agency, Moscow, Russia
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3
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Brislin SJ, Salvatore JE, Meyers JM, Kamarajan C, Plawecki MH, Edenberg HJ, Kuperman S, Tischfield J, Hesselbrock V, Anokhin AP, Chorlian DB, Schuckit MA, Nurnberger JI, Bauer L, Pandey G, Pandey AK, Kramer JR, Chan G, Porjesz B, Dick DM. Examining associations between genetic and neural risk for externalizing behaviors in adolescence and early adulthood. Psychol Med 2024; 54:267-277. [PMID: 37203444 PMCID: PMC11010461 DOI: 10.1017/s0033291723001174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
BACKGROUND Researchers have identified genetic and neural risk factors for externalizing behaviors. However, it has not yet been determined if genetic liability is conferred in part through associations with more proximal neurophysiological risk markers. METHODS Participants from the Collaborative Study on the Genetics of Alcoholism, a large, family-based study of alcohol use disorders were genotyped and polygenic scores for externalizing (EXT PGS) were calculated. Associations with target P3 amplitude from a visual oddball task (P3) and broad endorsement of externalizing behaviors (indexed via self-report of alcohol and cannabis use, and antisocial behavior) were assessed in participants of European (EA; N = 2851) and African ancestry (AA; N = 1402). Analyses were also stratified by age (adolescents, age 12-17 and young adults, age 18-32). RESULTS The EXT PGS was significantly associated with higher levels of externalizing behaviors among EA adolescents and young adults as well as AA young adults. P3 was inversely associated with externalizing behaviors among EA young adults. EXT PGS was not significantly associated with P3 amplitude and therefore, there was no evidence that P3 amplitude indirectly accounted for the association between EXT PGS and externalizing behaviors. CONCLUSIONS Both the EXT PGS and P3 amplitude were significantly associated with externalizing behaviors among EA young adults. However, these associations with externalizing behaviors appear to be independent of each other, suggesting that they may index different facets of externalizing.
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Affiliation(s)
- Sarah J. Brislin
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, New Brunswick-Piscataway, NJ, USA
| | - Jessica E. Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, New Brunswick-Piscataway, NJ, USA
| | - Jacquelyn M. Meyers
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | | | - Howard J. Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University, Bloomington, IN, USA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Jay Tischfield
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, New Brunswick-Piscataway, NJ, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Andrey P. Anokhin
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - David B. Chorlian
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | - Marc A. Schuckit
- Department of Psychiatry, University of California San Diego Medical School, San Diego, CA, USA
| | | | - Lance Bauer
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Gayathri Pandey
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | - Ashwini K. Pandey
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | - John R. Kramer
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Grace Chan
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | | | - Danielle M. Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, New Brunswick-Piscataway, NJ, USA
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4
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Meyers JL, McCutcheon VV, Horne-Osipenko KA, Waters LR, Barr P, Chan G, Chorlian DB, Johnson EC, Kuo SIC, Kramer JR, Dick DM, Kuperman S, Kamarajan C, Pandey G, Singman D, de Viteri SSS, Salvatore JE, Bierut LJ, Foroud T, Goate A, Hesselbrock V, Nurnberger J, Plaweck MH, Schuckit MA, Agrawal A, Edenberg HJ, Bucholz KK, Porjesz B. COVID-19 pandemic stressors are associated with reported increases in frequency of drunkenness among individuals with a history of alcohol use disorder. Transl Psychiatry 2023; 13:311. [PMID: 37803048 PMCID: PMC10558437 DOI: 10.1038/s41398-023-02577-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 07/25/2023] [Accepted: 07/31/2023] [Indexed: 10/08/2023] Open
Abstract
Some sources report increases in alcohol use have been observed since the start of the COVID-19 pandemic, particularly among women. Cross-sectional studies suggest that specific COVID-19-related stressful experiences (e.g., social disconnection) may be driving such increases in the general population. Few studies have explored these topics among individuals with a history of Alcohol Use Disorders (AUD), an especially vulnerable population. Drawing on recent data collected by the Collaborative Study on the Genetics of Alcoholism (COGA; COVID-19 study N = 1651, 62% women, age range: 30-91) in conjunction with AUD history data collected on the sample since 1990, we investigated associations of COVID-19 related stressors and coping activities with changes in drunkenness frequency since the start of the pandemic. Analyses were conducted for those without a history of AUD (N: 645) and three groups of participants with a history of AUD prior to the start of the pandemic: (1) those experiencing AUD symptoms (N: 606), (2) those in remission who were drinking (N: 231), and (3) those in remission who were abstinent (had not consumed alcohol for 5+ years; N: 169). Gender-stratified models were also examined. Exploratory analyses examined the moderating effects of 'problematic alcohol use' polygenic risk scores (PRS) and neural connectivity (i.e., posterior interhemispheric alpha EEG coherence) on associations between COVID-19 stressors and coping activities with changes in the frequency of drunkenness. Increases in drunkenness frequency since the start of the pandemic were higher among those with a lifetime AUD diagnosis experiencing symptoms prior to the start of the pandemic (14% reported increased drunkenness) when compared to those without a history of AUD (5% reported increased drunkenness). Among individuals in remission from AUD prior to the start of the pandemic, rates of increased drunkenness were 10% for those who were drinking pre-pandemic and 4% for those who had previously been abstinent. Across all groups, women reported nominally greater increases in drunkenness frequency when compared with men, although only women experiencing pre-pandemic AUD symptoms reported significantly greater rates of increased drunkenness since the start of the pandemic compared to men in this group (17% of women vs. 5% of men). Among those without a prior history of AUD, associations between COVID-19 risk and protective factors with increases in drunkenness frequency were not observed. Among all groups with a history of AUD (including those with AUD symptoms and those remitted from AUD), perceived stress was associated with increases in drunkenness. Among the remitted-abstinent group, essential worker status was associated with increases in drunkenness. Gender differences in these associations were observed: among women in the remitted-abstinent group, essential worker status, perceived stress, media consumption, and decreased social interactions were associated with increases in drunkenness. Among men in the remitted-drinking group, perceived stress was associated with increases in drunkenness, and increased relationship quality was associated with decreases in drunkenness. Exploratory analyses indicated that associations between family illness or death with increases in drunkenness and increased relationship quality with decreases in drunkenness were more pronounced among the remitted-drinking participants with higher PRS. Associations between family illness or death, media consumption, and economic hardships with increases in drunkenness and healthy coping with decreases in drunkenness were more pronounced among the remitted-abstinent group with lower interhemispheric alpha EEG connectivity. Our results demonstrated that only individuals with pre-pandemic AUD symptoms reported greater increases in drunkenness frequency since the start of the COVID-19 pandemic compared to those without a lifetime history of AUD. This increase was more pronounced among women than men in this group. However, COVID-19-related stressors and coping activities were associated with changes in the frequency of drunkenness among all groups of participants with a prior history of AUD, including those experiencing AUD symptoms, as well as abstinent and non-abstinent participants in remission. Perceived stress, essential worker status, media consumption, social connections (especially for women), and relationship quality (especially for men) are specific areas of focus for designing intervention and prevention strategies aimed at reducing pandemic-related alcohol misuse among this particularly vulnerable group. Interestingly, these associations were not observed for individuals without a prior history of AUD, supporting prior literature that demonstrates that widespread stressors (e.g., pandemics, terrorist attacks) disproportionately impact the mental health and alcohol use of those with a prior history of problems.
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Affiliation(s)
- Jacquelyn L Meyers
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA.
| | - Vivia V McCutcheon
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Kristina A Horne-Osipenko
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA
| | - Lawrence R Waters
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA
| | - Peter Barr
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA
| | - Grace Chan
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - David B Chorlian
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA
| | - Emma C Johnson
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Sally I-Chun Kuo
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - John R Kramer
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Danielle M Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA
| | - Gayathri Pandey
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA
| | - Dzov Singman
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA
| | - Stacey Subbie-Saenz de Viteri
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA
| | - Jessica E Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Laura J Bierut
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Tatiana Foroud
- Departments of Genetics and Genomic Sciences, Neuroscience, and Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alison Goate
- Departments of Genetics and Genomic Sciences, Neuroscience, and Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Victor Hesselbrock
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - John Nurnberger
- Department of Biochemistry and Molecular Biology and Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Martin H Plaweck
- Department of Biochemistry and Molecular Biology and Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Marc A Schuckit
- Department of Psychiatry, University of California San Diego Medical School, La Jolla, CA, USA
| | - Arpana Agrawal
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology and Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kathleen K Bucholz
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA
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Johnson EC, Salvatore JE, Lai D, Merikangas AK, Nurnberger JI, Tischfield JA, Xuei X, Kamarajan C, Wetherill L, Rice JP, Kramer JR, Kuperman S, Foroud T, Slesinger PA, Goate AM, Porjesz B, Dick DM, Edenberg HJ, Agrawal A. The collaborative study on the genetics of alcoholism: Genetics. GENES, BRAIN, AND BEHAVIOR 2023; 22:e12856. [PMID: 37387240 PMCID: PMC10550788 DOI: 10.1111/gbb.12856] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 06/02/2023] [Accepted: 06/17/2023] [Indexed: 07/01/2023]
Abstract
This review describes the genetic approaches and results from the family-based Collaborative Study on the Genetics of Alcoholism (COGA). COGA was designed during the linkage era to identify genes affecting the risk for alcohol use disorder (AUD) and related problems, and was among the first AUD-focused studies to subsequently adopt a genome-wide association (GWAS) approach. COGA's family-based structure, multimodal assessment with gold-standard clinical and neurophysiological data, and the availability of prospective longitudinal phenotyping continues to provide insights into the etiology of AUD and related disorders. These include investigations of genetic risk and trajectories of substance use and use disorders, phenome-wide association studies of loci of interest, and investigations of pleiotropy, social genomics, genetic nurture, and within-family comparisons. COGA is one of the few AUD genetics projects that includes a substantial number of participants of African ancestry. The sharing of data and biospecimens has been a cornerstone of the COGA project, and COGA is a key contributor to large-scale GWAS consortia. COGA's wealth of publicly available genetic and extensive phenotyping data continues to provide a unique and adaptable resource for our understanding of the genetic etiology of AUD and related traits.
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Affiliation(s)
- Emma C. Johnson
- Department of PsychiatryWashington University School of MedicineSt. LouisMissouriUSA
| | - Jessica E. Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical SchoolRutgers UniversityPiscatawayNew JerseyUSA
| | - Dongbing Lai
- Department of Medical & Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Alison K. Merikangas
- Department of Biomedical and Health InformaticsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Department of Genetics, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Lifespan Brain Institute, Children's Hospital of Philadelphia and Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - John I. Nurnberger
- Department of Medical & Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
- Department of PsychiatryIndiana University School of MedicineIndianapolisIndianaUSA
| | | | - Xiaoling Xuei
- Department of Medical & Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral SciencesState University of New York Health Sciences UniversityBrooklynNew YorkUSA
| | - Leah Wetherill
- Department of Medical & Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | | | - John P. Rice
- Department of PsychiatryWashington University School of MedicineSt. LouisMissouriUSA
| | - John R. Kramer
- Department of Psychiatry, Carver College of MedicineUniversity of IowaIowa CityIowaUSA
| | - Samuel Kuperman
- Department of Psychiatry, Carver College of MedicineUniversity of IowaIowa CityIowaUSA
| | - Tatiana Foroud
- Department of Medical & Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Paul A. Slesinger
- Departments of Neuroscience and Pharmacological SciencesIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Alison M. Goate
- Departments of Genetics and Genomic Sciences, Neuroscience, and NeurologyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral SciencesState University of New York Health Sciences UniversityBrooklynNew YorkUSA
| | - Danielle M. Dick
- Department of Psychiatry, Robert Wood Johnson Medical SchoolRutgers UniversityPiscatawayNew JerseyUSA
| | - Howard J. Edenberg
- Department of Medical & Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
- Department of Biochemistry and Molecular BiologyIndiana UniversityIndianapolisIndianaUSA
| | - Arpana Agrawal
- Department of PsychiatryWashington University School of MedicineSt. LouisMissouriUSA
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6
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Agrawal A, Brislin SJ, Bucholz KK, Dick D, Hart RP, Johnson EC, Meyers J, Salvatore J, Slesinger P, Almasy L, Foroud T, Goate A, Hesselbrock V, Kramer J, Kuperman S, Merikangas AK, Nurnberger JI, Tischfield J, Edenberg HJ, Porjesz B. The Collaborative Study on the Genetics of Alcoholism: Overview. GENES, BRAIN, AND BEHAVIOR 2023; 22:e12864. [PMID: 37736010 PMCID: PMC10550790 DOI: 10.1111/gbb.12864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 07/21/2023] [Accepted: 08/23/2023] [Indexed: 09/23/2023]
Abstract
Alcohol use disorders (AUD) are commonly occurring, heritable and polygenic disorders with etiological origins in the brain and the environment. To outline the causes and consequences of alcohol-related milestones, including AUD, and their related psychiatric comorbidities, the Collaborative Study on the Genetics of Alcoholism (COGA) was launched in 1989 with a gene-brain-behavior framework. COGA is a family based, diverse (~25% self-identified African American, ~52% female) sample, including data on 17,878 individuals, ages 7-97 years, in 2246 families of which a proportion are densely affected for AUD. All participants responded to questionnaires (e.g., personality) and the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA) which gathers information on psychiatric diagnoses, conditions and related behaviors (e.g., parental monitoring). In addition, 9871 individuals have brain function data from electroencephalogram (EEG) recordings while 12,009 individuals have been genotyped on genome-wide association study (GWAS) arrays. A series of functional genomics studies examine the specific cellular and molecular mechanisms underlying AUD. This overview provides the framework for the development of COGA as a scientific resource in the past three decades, with individual reviews providing in-depth descriptions of data on and discoveries from behavioral and clinical, brain function, genetic and functional genomics data. The value of COGA also resides in its data sharing policies, its efforts to communicate scientific findings to the broader community via a project website and its potential to nurture early career investigators and to generate independent research that has broadened the impact of gene-brain-behavior research into AUD.
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Affiliation(s)
- Arpana Agrawal
- Department of PsychiatryWashington University School of Medicine in St. LouisSt. LouisMissouriUSA
| | - Sarah J. Brislin
- Department of PsychiatryRutgers Robert Wood Johnson Medical SchoolPiscatawayNew JerseyUSA
| | - Kathleen K. Bucholz
- Department of PsychiatryWashington University School of Medicine in St. LouisSt. LouisMissouriUSA
| | - Danielle Dick
- Department of PsychiatryRutgers Robert Wood Johnson Medical SchoolPiscatawayNew JerseyUSA
| | - Ronald P. Hart
- Department of Cell Biology and NeuroscienceRutgers UniversityPiscatawayNew JerseyUSA
| | - Emma C. Johnson
- Department of PsychiatryWashington University School of Medicine in St. LouisSt. LouisMissouriUSA
| | - Jacquelyn Meyers
- Department of Psychiatry and Behavioral SciencesSUNY Downstate Health Sciences UniversityBrooklynNew YorkUSA
| | - Jessica Salvatore
- Department of PsychiatryRutgers Robert Wood Johnson Medical SchoolPiscatawayNew JerseyUSA
| | - Paul Slesinger
- Department of Neuroscience & Friedman Brain InstituteIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Laura Almasy
- Department of Biomedical and Health InformaticsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Department of Genetics, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Lifespan Brain Institute, Children's Hospital of Philadelphia and Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Tatiana Foroud
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Alison Goate
- Department of Genetics and Genomic SciencesIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
- Department of NeuroscienceIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
- Department of NeurologyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Victor Hesselbrock
- Department of PsychiatryUniversity of Connecticut School of MedicineFarmingtonConnecticutUSA
| | - John Kramer
- Department of PsychiatryUniversity of Iowa Carver College of MedicineIowa CityIowaUSA
| | - Samuel Kuperman
- Department of PsychiatryUniversity of Iowa Carver College of MedicineIowa CityIowaUSA
| | - Alison K. Merikangas
- Department of Biomedical and Health InformaticsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Department of Genetics, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Lifespan Brain Institute, Children's Hospital of Philadelphia and Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | | | - Jay Tischfield
- Department of GeneticsRutgers UniversityPiscatawayNew JerseyUSA
| | - Howard J. Edenberg
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
- Department of Biochemistry and Molecular BiologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral SciencesSUNY Downstate Health Sciences UniversityBrooklynNew YorkUSA
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7
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Meyers JL, Brislin SJ, Kamarajan C, Plawecki MH, Chorlian D, Anohkin A, Kuperman S, Merikangas A, Pandey G, Kinreich S, Pandey A, Edenberg HJ, Bucholz KK, Almasy L, Porjesz B. The collaborative study on the genetics of alcoholism: Brain function. GENES, BRAIN, AND BEHAVIOR 2023; 22:e12862. [PMID: 37587903 PMCID: PMC10550791 DOI: 10.1111/gbb.12862] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 07/19/2023] [Accepted: 07/22/2023] [Indexed: 08/18/2023]
Abstract
Alcohol use disorder (AUD) and related health conditions result from a complex interaction of genetic, neural and environmental factors, with differential impacts across the lifespan. From its inception, the Collaborative Study on the Genetics of Alcoholism (COGA) has focused on the importance of brain function as it relates to the risk and consequences of alcohol use and AUD, through the examination of noninvasively recorded brain electrical activity and neuropsychological tests. COGA's sophisticated neurophysiological and neuropsychological measures, together with rich longitudinal, multi-modal family data, have allowed us to disentangle brain-related risk and resilience factors from the consequences of prolonged and heavy alcohol use in the context of genomic and social-environmental influences over the lifespan. COGA has led the field in identifying genetic variation associated with brain functioning, which has advanced the understanding of how genomic risk affects AUD and related disorders. To date, the COGA study has amassed brain function data on over 9871 participants, 7837 with data at more than one time point, and with notable diversity in terms of age (from 7 to 97), gender (52% female), and self-reported race and ethnicity (28% Black, 9% Hispanic). These data are available to the research community through several mechanisms, including directly through the NIAAA, through dbGAP, and in collaboration with COGA investigators. In this review, we provide an overview of COGA's data collection methods and specific brain function measures assessed, and showcase the utility, significance, and contributions these data have made to our understanding of AUD and related disorders, highlighting COGA research findings.
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Affiliation(s)
- Jacquelyn L. Meyers
- Department of Psychiatry and Behavioral SciencesState University of New York Downstate Medical CenterBrooklynNew YorkUSA
| | - Sarah J. Brislin
- Department of Psychiatry, Robert Wood Johnson Medical SchoolRutgers UniversityNew BrunswickNew JerseyUSA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral SciencesState University of New York Downstate Medical CenterBrooklynNew YorkUSA
| | | | - David Chorlian
- Department of Psychiatry and Behavioral SciencesState University of New York Downstate Medical CenterBrooklynNew YorkUSA
| | - Andrey Anohkin
- Department of PsychiatryWashington University in St. LouisSt. LouisMissouriUSA
| | - Samuel Kuperman
- Department of PsychiatryUniversity of IowaIowa CityIndianaUSA
| | - Alison Merikangas
- Department of Biomedical and Health InformaticsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Penn‐CHOP Lifespan Brain InstituteUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Genetics, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Gayathri Pandey
- Department of Psychiatry and Behavioral SciencesState University of New York Downstate Medical CenterBrooklynNew YorkUSA
| | - Sivan Kinreich
- Department of Psychiatry and Behavioral SciencesState University of New York Downstate Medical CenterBrooklynNew YorkUSA
| | - Ashwini Pandey
- Department of Psychiatry and Behavioral SciencesState University of New York Downstate Medical CenterBrooklynNew YorkUSA
| | - Howard J. Edenberg
- Department of Biochemistry and Molecular BiologyIndiana UniversityBloomingtonIndianaUSA
| | - Kathleen K. Bucholz
- Department of PsychiatryWashington University in St. LouisSt. LouisMissouriUSA
| | | | - Laura Almasy
- Department of Biomedical and Health InformaticsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Penn‐CHOP Lifespan Brain InstituteUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Genetics, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral SciencesState University of New York Downstate Medical CenterBrooklynNew YorkUSA
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8
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Mendes PFS, Baia-da-Silva DC, Melo WWP, Bittencourt LO, Souza-Rodrigues RD, Fernandes LMP, Maia CDSF, Lima RR. Neurotoxicology of alcohol: a bibliometric and science mapping analysis. Front Pharmacol 2023; 14:1209616. [PMID: 37593178 PMCID: PMC10427875 DOI: 10.3389/fphar.2023.1209616] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 07/11/2023] [Indexed: 08/19/2023] Open
Abstract
Alcohol consumption is common in many societies and has increased considerably, resulting in many socioeconomic and public health problems. In this sense, studies have been carried out in order to understand the mechanisms involved in alcohol consumption and related harmful effects. This study aimed to identify and map the knowledge and to perform bibliometric analysis of the neurotoxicology of alcohol based on the 100 most cited articles. A search was carried out in the Web of Science Core Collection database and information was extracted regarding the journal, authors, keywords, year of publication, number of citations, country and continent of the corresponding author. For each selected manuscript, the study design, alcohol exposure model, dose, period of exposure, and effect on the central nervous system and research hotspots were mapped. The journal with the highest number of publications was Alcoholism: Clinical and Experimental Research (n = 11 papers), the author who contributed the most was Crews FT (n = 8 papers), the studies had a total of 288 keywords and 75% of the publications were from the United States of America. The experimental studies evaluated the effects of prenatal and postnatal exposure and were conducted in rats and mice using doses ranging from 2.5 to 14 g/kg/day, with administration by subcutaneous, intraperitoneal, intragastric, or inhalation route or with free access through drinking bottles. Among the studies mapped, the oldest one (1989) aimed to understand the systemic damage and mechanisms of action involved, while the most recent focused on understanding the receptors and mechanisms involved in addiction, as well as genetic factors. Our results show the panorama of the most widespread scientific production in the scientific community on the neurotoxicology of ethanol, a high prevalence was observed in studies that addressed fetal alcohol syndrome and/or the effects of ethanol on neurodevelopment.
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Affiliation(s)
- Paulo Fernando Santos Mendes
- Laboratory of Functional and Structural Biology, Institute of Biological Sciences, Federal University of Pará, Belém, Brazil
| | - Daiane Claydes Baia-da-Silva
- Laboratory of Functional and Structural Biology, Institute of Biological Sciences, Federal University of Pará, Belém, Brazil
| | - Wallacy Watson Pereira Melo
- Laboratory of Functional and Structural Biology, Institute of Biological Sciences, Federal University of Pará, Belém, Brazil
| | - Leonardo Oliveira Bittencourt
- Laboratory of Functional and Structural Biology, Institute of Biological Sciences, Federal University of Pará, Belém, Brazil
| | - Renata Duarte Souza-Rodrigues
- Laboratory of Functional and Structural Biology, Institute of Biological Sciences, Federal University of Pará, Belém, Brazil
| | - Luanna Melo Pereira Fernandes
- Department of Morphology and Physiological Sciences, Center of Sciences Biological and Health, State University of Pará, Belém, Brazil
| | | | - Rafael Rodrigues Lima
- Laboratory of Functional and Structural Biology, Institute of Biological Sciences, Federal University of Pará, Belém, Brazil
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9
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Ehlers CL, Wills D, Karriker-Jaffe KJ, Phillips E, Kim C, Gilder DA. Event-related Oscillations to Emotional Faces are Related to a History of Internalizing Disorders. Clin EEG Neurosci 2023; 54:420-433. [PMID: 35379012 PMCID: PMC9681067 DOI: 10.1177/15500594221088258] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Event-related oscillations (EROs) may represent sensitive biomarkers or endophenotypes for disorders that underlie risk behaviors such as suicidal thoughts and actions. In this study, young adults of American Indian (AI) (n = 821) and Mexican American (MA) (n = 721) ancestry (age 18-30 yrs) were clinically assessed for internalizing and externalizing disorders, and an internalizing scale was generated by extracting core diagnostic items from 6 lifetime DSM5-compatible diagnoses (social phobia, panic disorder, agoraphobia, obsessive compulsive disorder, post-traumatic stress disorder, major depressive episode) and symptoms of suicidality. EROs were generated to sad, happy and neutral faces, and energy and phase locking of delta ERO oscillations were assessed in frontal areas. An increase in delta ERO energy was found in the frontal lead (FZ) following presentation of the sad facial expressions in those with a history of 10 or more internalizing symptoms compared to those with no symptoms. Increases in delta ERO energy in FZ were also associated with a diagnosis of major depressive disorder (MDD), but not with anxiety disorders or antisocial personality disorder/conduct disorders (ASP). Major depression was also associated with increases in cross-cortical phase-locking (FZ-PZ). A decrease in the percentage of correctly identified neutral faces also was seen among those with 10 or more internalizing symptoms compared to those without internalizing symptoms, and in those with anxiety disorders, but not in those with ASP or MDD as compared to their controls. These findings suggest ERO measures may represent important potential biomarkers of depressive disorders as well as risk indicators for suicidal behaviors.
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Affiliation(s)
- Cindy L Ehlers
- Department of Neuroscience, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Derek Wills
- Department of Neuroscience, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA
| | | | - Evelyn Phillips
- Department of Neuroscience, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Corrine Kim
- Department of Neuroscience, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - David A Gilder
- Department of Neuroscience, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA
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10
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Kamarajan C, Pandey AK, Chorlian DB, Meyers JL, Kinreich S, Pandey G, Subbie-Saenz de Viteri S, Zhang J, Kuang W, Barr PB, Aliev F, Anokhin AP, Plawecki MH, Kuperman S, Almasy L, Merikangas A, Brislin SJ, Bauer L, Hesselbrock V, Chan G, Kramer J, Lai D, Hartz S, Bierut LJ, McCutcheon VV, Bucholz KK, Dick DM, Schuckit MA, Edenberg HJ, Porjesz B. Predicting Alcohol-Related Memory Problems in Older Adults: A Machine Learning Study with Multi-Domain Features. Behav Sci (Basel) 2023; 13:bs13050427. [PMID: 37232664 DOI: 10.3390/bs13050427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 05/08/2023] [Accepted: 05/11/2023] [Indexed: 05/27/2023] Open
Abstract
Memory problems are common among older adults with a history of alcohol use disorder (AUD). Employing a machine learning framework, the current study investigates the use of multi-domain features to classify individuals with and without alcohol-induced memory problems. A group of 94 individuals (ages 50-81 years) with alcohol-induced memory problems (the memory group) were compared with a matched control group who did not have memory problems. The random forests model identified specific features from each domain that contributed to the classification of the memory group vs. the control group (AUC = 88.29%). Specifically, individuals from the memory group manifested a predominant pattern of hyperconnectivity across the default mode network regions except for some connections involving the anterior cingulate cortex, which were predominantly hypoconnected. Other significant contributing features were: (i) polygenic risk scores for AUD, (ii) alcohol consumption and related health consequences during the past five years, such as health problems, past negative experiences, withdrawal symptoms, and the largest number of drinks in a day during the past twelve months, and (iii) elevated neuroticism and increased harm avoidance, and fewer positive "uplift" life events. At the neural systems level, hyperconnectivity across the default mode network regions, including the connections across the hippocampal hub regions, in individuals with memory problems may indicate dysregulation in neural information processing. Overall, the study outlines the importance of utilizing multidomain features, consisting of resting-state brain connectivity data collected ~18 years ago, together with personality, life experiences, polygenic risk, and alcohol consumption and related consequences, to predict the alcohol-related memory problems that arise in later life.
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Affiliation(s)
- Chella Kamarajan
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Ashwini K Pandey
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - David B Chorlian
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Jacquelyn L Meyers
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Sivan Kinreich
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Gayathri Pandey
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Stacey Subbie-Saenz de Viteri
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Jian Zhang
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Weipeng Kuang
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Peter B Barr
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Fazil Aliev
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ 08854, USA
| | - Andrey P Anokhin
- Department of Psychiatry, School of Medicine, Washington University, St. Louis, MO 63110, USA
| | | | - Samuel Kuperman
- Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA
| | - Laura Almasy
- The Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Alison Merikangas
- The Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sarah J Brislin
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ 08854, USA
| | - Lance Bauer
- Department of Psychiatry, University of Connecticut, Farmington, CT 06030, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut, Farmington, CT 06030, USA
| | - Grace Chan
- Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA
- Department of Psychiatry, University of Connecticut, Farmington, CT 06030, USA
| | - John Kramer
- Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA
| | - Dongbing Lai
- Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Sarah Hartz
- Department of Psychiatry, School of Medicine, Washington University, St. Louis, MO 63110, USA
| | - Laura J Bierut
- Department of Psychiatry, School of Medicine, Washington University, St. Louis, MO 63110, USA
| | - Vivia V McCutcheon
- Department of Psychiatry, School of Medicine, Washington University, St. Louis, MO 63110, USA
| | - Kathleen K Bucholz
- Department of Psychiatry, School of Medicine, Washington University, St. Louis, MO 63110, USA
| | - Danielle M Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ 08854, USA
| | - Marc A Schuckit
- Department of Psychiatry, University of California, San Diego, CA 92103, USA
| | | | - Bernice Porjesz
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
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11
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Pandey G, Kuo SIC, Horne-Osipenko KA, Pandey AK, Kamarajan C, de Viteri SS, Kinreich S, Chorlian DB, Kuang W, Stephenson M, Kramer J, Anokhin A, Zang Y, Kuperman S, Hesselbrock V, Schuckit M, Dick D, Chan G, McCutcheon VV, Edenberg H, Bucholz KK, Meyers JL, Porjesz B. Associations of parent-adolescent closeness with P3 amplitude, frontal theta, and binge drinking among offspring with high risk for alcohol use disorder. ALCOHOL, CLINICAL & EXPERIMENTAL RESEARCH 2023; 47:155-167. [PMID: 36680783 PMCID: PMC10910630 DOI: 10.1111/acer.14973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 10/04/2022] [Accepted: 11/03/2022] [Indexed: 01/22/2023]
Abstract
BACKGROUND Parents impact their offspring's brain development, neurocognitive function, risk, and resilience for alcohol use disorder (AUD) via both genetic and socio-environmental factors. Individuals with AUD and their unaffected children manifest low parietal P3 amplitude and low frontal theta (FT) power, reflecting heritable neurocognitive deficits associated with AUD. Likewise, children who experience poor parenting tend to have atypical brain development and greater rates of alcohol problems. Conversely, positive parenting can be protective and critical for normative development of self-regulation, neurocognitive functioning and the neurobiological systems subserving them. Yet, the role of positive parenting in resiliency toward AUD is understudied and its association with neurocognitive functioning and behavioral vulnerability to AUD among high-risk offspring is less known. Using data from the Collaborative Study on the Genetics of Alcoholism prospective cohort (N = 1256, mean age [SD] = 19.25 [1.88]), we investigated the associations of closeness with mother and father during adolescence with offspring P3 amplitude, FT power, and binge drinking among high-risk offspring. METHODS Self-reported closeness with mother and father between ages 12 and 17 and binge drinking were assessed using the Semi-Structured Assessment for the Genetics of Alcoholism. P3 amplitude and FT power were assessed in response to target stimuli using a Visual Oddball Task. RESULTS Multivariate multiple regression analyses showed that closeness with father was associated with larger P3 amplitude (p = 0.002) and higher FT power (p = 0.01). Closeness with mother was associated with less binge drinking (p = 0.003). Among male offspring, closeness with father was associated with larger P3 amplitude, but among female offspring, closeness with mother was associated with less binge drinking. These associations remained statistically significant with father's and mothers' AUD symptoms, socioeconomic status, and offspring impulsivity in the model. CONCLUSIONS Among high-risk offspring, closeness with parents during adolescence may promote resilience for developing AUD and related neurocognitive deficits albeit with important sex differences.
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Affiliation(s)
- Gayathri Pandey
- Department of Psychiatry and Behavioral Sciences, State University of New York, Downstate Health Sciences University, New York, Brooklyn, USA
| | - Sally I-Chun Kuo
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA
| | - Kristina A. Horne-Osipenko
- Department of Psychiatry and Behavioral Sciences, State University of New York, Downstate Health Sciences University, New York, Brooklyn, USA
| | - Ashwini K. Pandey
- Department of Psychiatry and Behavioral Sciences, State University of New York, Downstate Health Sciences University, New York, Brooklyn, USA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, State University of New York, Downstate Health Sciences University, New York, Brooklyn, USA
| | - Stacey Saenz de Viteri
- Department of Psychiatry and Behavioral Sciences, State University of New York, Downstate Health Sciences University, New York, Brooklyn, USA
| | - Sivan Kinreich
- Department of Psychiatry and Behavioral Sciences, State University of New York, Downstate Health Sciences University, New York, Brooklyn, USA
| | - David B. Chorlian
- Department of Psychiatry and Behavioral Sciences, State University of New York, Downstate Health Sciences University, New York, Brooklyn, USA
| | - Weipeng Kuang
- Department of Psychiatry and Behavioral Sciences, State University of New York, Downstate Health Sciences University, New York, Brooklyn, USA
| | - Mallory Stephenson
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA
| | - John Kramer
- Department of Psychiatry, University of Iowa, Iowa City, Iowa, USA
| | - Andrey Anokhin
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Yong Zang
- Department of Biostatistics, School of Medicine, Indiana University, Indianapolis, Indiana, USA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Marc Schuckit
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
| | - Danielle Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Vivia V. McCutcheon
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Howard Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Kathleen K. Bucholz
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Jacquelyn L. Meyers
- Department of Psychiatry and Behavioral Sciences, State University of New York, Downstate Health Sciences University, New York, Brooklyn, USA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, State University of New York, Downstate Health Sciences University, New York, Brooklyn, USA
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12
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Bhatt IS, Wilson N, Dias R, Torkamani A. A genome-wide association study of tinnitus reveals shared genetic links to neuropsychiatric disorders. Sci Rep 2022; 12:22511. [PMID: 36581688 PMCID: PMC9800371 DOI: 10.1038/s41598-022-26413-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 12/14/2022] [Indexed: 12/30/2022] Open
Abstract
Tinnitus, a phantom perception of sound in the absence of any external sound source, is a prevalent health condition often accompanied by psychiatric comorbidities. Recent genome-wide association studies (GWAS) highlighted a polygenic nature of tinnitus susceptibility. A shared genetic component between tinnitus and psychiatric conditions remains elusive. Here we present a GWAS using the UK Biobank to investigate the genetic processes linked to tinnitus and tinnitus-related distress, followed by gene-set enrichment analyses. The UK Biobank sample comprised 132,438 individuals with tinnitus and genotype data. Among the study sample, 38,525 individuals reported tinnitus, and 26,889 participants mentioned they experienced tinnitus-related distress in daily living. The genome-wide association analyses were conducted on tinnitus and tinnitus-related distress. We conducted enrichment analyses using FUMA to further understand the genetic processes linked to tinnitus and tinnitus-related distress. A genome-wide significant locus (lead SNP: rs71595470) for tinnitus was obtained in the vicinity of GPM6A. Nineteen independent loci reached suggestive association with tinnitus. Fifteen independent loci reached suggestive association with tinnitus-related distress. The enrichment analysis revealed a shared genetic component between tinnitus and psychiatric traits, such as bipolar disorder, feeling worried, cognitive ability, fast beta electroencephalogram, and sensation seeking. Metabolic, cardiovascular, hematological, and pharmacological gene sets revealed a significant association with tinnitus. Anxiety and stress-related gene sets revealed a significant association with tinnitus-related distress. The GWAS signals for tinnitus were enriched in the hippocampus and cortex, and for tinnitus-related distress were enriched in the brain and spinal cord. This study provides novel insights into genetic processes associated with tinnitus and tinnitus-related distress and demonstrates a shared genetic component underlying tinnitus and psychiatric conditions. Further collaborative attempts are necessary to identify genetic components underlying the phenotypic heterogeneity in tinnitus and provide biological insight into the etiology.
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Affiliation(s)
- Ishan Sunilkumar Bhatt
- grid.214572.70000 0004 1936 8294Department of Communication Sciences & Disorders, University of Iowa, 250 Hawkins Dr, Iowa City, IA 52242 USA
| | - Nicholas Wilson
- Department of Integrative Structural and Computational Biology Scripps Science Institute, La Jolla, CA 92037 USA
| | - Raquel Dias
- grid.15276.370000 0004 1936 8091Department of Microbiology and Cell Science, University of Florida, Gainesville, FL 32608 USA
| | - Ali Torkamani
- Department of Integrative Structural and Computational Biology Scripps Science Institute, La Jolla, CA 92037 USA
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13
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Huang S, White DR, Marinkovic K. Alterations of theta power and synchrony during encoding in young adult binge drinkers: Subsequent memory effects associated with retrieval after 48 h and 6 months. Front Psychol 2022; 13:1061016. [PMID: 36591031 PMCID: PMC9798430 DOI: 10.3389/fpsyg.2022.1061016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 11/22/2022] [Indexed: 12/23/2022] Open
Abstract
Introduction Young emerging adults commonly engage in binge drinking which is associated with a range of neurocognitive deficits, including memory impairments. However, evidence on neural oscillations mediating episodic memory in this population is lacking. To address this gap, we recorded theta oscillatory activity in young binge (BDs) and light drinkers (LDs) during memory encoding and analyzed it prospectively as a function of subsequent retrieval. Theta underlies successful encoding of novel items in memory through corticolimbic integration. Subsequent memory effects (SMEs) are reflected in stronger theta activity during encoding of the items that are later remembered compared to those that are later forgotten. Methods In the present study, 23 BDs (age: 23.3 ± 3.3) and 24 LDs (age: 23.4 ± 3.3) rated emotionally evocative images with negative, positive, and neutral themes during implicit encoding. They performed a recognition memory task on two follow-up occasions after a short (48 h), and long retention delay (6 months). Electroencephalography (EEG) signal was recorded during the encoding session and analyzed in time-frequency domain with Morlet wavelets in theta band (4-7 Hz). To evaluate SMEs, the event-related theta oscillations acquired during encoding were analyzed based on recognition outcomes after the two retention intervals. Results The BD and LD groups did not differ on recognition memory. However, BDs showed attenuated event-related theta power during encoding of images that were successfully retained after 6 months compared to LDs. In addition, theta synchronous activity between frontal and left posterior regions during encoding successfully predicted recognition of the images after both retention delays in LDs but not in BDs. These SMEs on theta power and synchrony correlated negatively with high-intensity drinking in the previous 6 months. No differences between men and women were observed for any analysis. Discussion It has been well established that long-range neural synchrony between cortical and limbic nodes underlies successful memory encoding and retention which, in turn, depends on neural excitation/inhibition (E/I) balance. Given that binge drinking is associated with E/I dysregulation, the observed SME deficiencies are consistent with other evidence of neural hyperexcitability in BDs, and may be indicative of increased risk of developing alcohol use disorders.
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Affiliation(s)
- Siyuan Huang
- Spatio-Temporal Brain Imaging Laboratory, Department of Psychology, San Diego State University, San Diego, CA, United States
| | - David R. White
- Spatio-Temporal Brain Imaging Laboratory, Department of Psychology, San Diego State University, San Diego, CA, United States
| | - Ksenija Marinkovic
- Spatio-Temporal Brain Imaging Laboratory, Department of Psychology, San Diego State University, San Diego, CA, United States,Department of Radiology, University of California, San Diego, San Diego CA, United States,*Correspondence: Ksenija Marinkovic,
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14
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Hill SY, Wellman JL, Zezza N, Steinhauer SR, Sharma V, Holmes B. Epigenetic Effects in HPA Axis Genes Associated with Cortical Thickness, ERP Components and SUD Outcome. Behav Sci (Basel) 2022; 12:347. [PMID: 36285916 PMCID: PMC9598712 DOI: 10.3390/bs12100347] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 08/29/2022] [Accepted: 09/01/2022] [Indexed: 09/09/2023] Open
Abstract
Association between familial loading for alcohol use disorders (AUD) and event-related potentials (ERPs) suggests a genetic basis for these oscillations though much less is known about epigenetic pathways influenced by environmental variation. Early life adversity (ELA) influences negative outcomes much later in life. The stress-activated neuropeptide corticotropin-releasing hormone (CRH) contributes to the deleterious effects of ELA on brain structure and function in animals. Accordingly, we hypothesized that ELA would be related to cortical thickness and electrophysiological characteristics through an epigenetic effect on CRH receptor type-1 (CRHR1) methylation. A total of 217 adolescent and young adult participants from either multiplex alcohol dependence or control families were scanned using magnetic resonance imaging (MRI) at 3T and cortical thickness was determined. Longitudinal follow-up across childhood, adolescence, and young adulthood provided developmental ERP data and measures of adversity. Blood samples for genetic and epigenetic analyses were obtained in childhood. Cortical thickness and visual ERP components were analyzed for their association and tested for familial risk group differences. Visual P300 amplitude at Pz and cortical thickness of the left lateral orbitofrontal region (LOFC), were significantly related to risk group status. LOFC cortical thickness showed a negative correlation with CRHR1 methylation status and with childhood total stress scores from the Life Stressors and Social Resources Inventory (LISRES). Stress scores were also significantly related to P300 amplitude recorded in childhood. The present results suggest that early life adversity reflected in greater total LISRES stress scores in childhood can impact the methylation of the CRHR1 gene with implications for brain development as seen in cortical thickness and electrophysiological signals emanating from particular brain regions.
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Affiliation(s)
- Shirley Y. Hill
- Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA 15213, USA
| | - Jeannette L. Wellman
- Department of Psychiatry and Magee Women’s Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
| | - Nicholas Zezza
- Department of Psychiatry and Shadyside Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
| | | | - Vinod Sharma
- Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA 15213, USA
| | - Brian Holmes
- UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave., Pittsburgh, PA 15224, USA
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15
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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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Degiorgis L, Arefin TM, Ben-Hamida S, Noblet V, Antal C, Bienert T, Reisert M, von Elverfeldt D, Kieffer BL, Harsan LA. Translational Structural and Functional Signatures of Chronic Alcohol Effects in Mice. Biol Psychiatry 2022; 91:1039-1050. [PMID: 35654559 DOI: 10.1016/j.biopsych.2022.02.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 02/08/2022] [Accepted: 02/10/2022] [Indexed: 12/27/2022]
Abstract
BACKGROUND Alcohol acts as an addictive substance that may lead to alcohol use disorder. In humans, magnetic resonance imaging showed diverse structural and functional brain alterations associated with this complex pathology. Single magnetic resonance imaging modalities are used mostly but are insufficient to portray and understand the broad neuroadaptations to alcohol. Here, we combined structural and functional magnetic resonance imaging and connectome mapping in mice to establish brain-wide fingerprints of alcohol effects with translatable potential. METHODS Mice underwent a chronic intermittent alcohol drinking protocol for 6 weeks before being imaged under medetomidine anesthesia. We performed open-ended multivariate analysis of structural data and functional connectivity mapping on the same subjects. RESULTS Structural analysis showed alcohol effects for the prefrontal cortex/anterior insula, hippocampus, and somatosensory cortex. Integration with microglia histology revealed distinct alcohol signatures, suggestive of advanced (prefrontal cortex/anterior insula, somatosensory cortex) and early (hippocampus) inflammation. Functional analysis showed major alterations of insula, ventral tegmental area, and retrosplenial cortex connectivity, impacting communication patterns for salience (insula), reward (ventral tegmental area), and default mode (retrosplenial cortex) networks. The insula appeared as a most sensitive brain center across structural and functional analyses. CONCLUSIONS This study demonstrates alcohol effects in mice, which possibly underlie lower top-down control and impaired hedonic balance documented at the behavioral level, and aligns with neuroimaging findings in humans despite the potential limitation induced by medetomidine sedation. This study paves the way to identify further biomarkers and to probe neurobiological mechanisms of alcohol effects using genetic and pharmacological manipulations in mouse models of alcohol drinking and dependence.
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Affiliation(s)
- Laetitia Degiorgis
- Integrative Multimodal Imaging in Healthcare team, UMR 7357, Laboratory of Engineering, Informatics and Imaging (ICube); Department of Psychiatry, University of Strasbourg, Strasbourg, France
| | - Tanzil Mahmud Arefin
- Department of Radiology, Medical Physics, University Medical Center Freiburg, Faculty of Medicine, University Freiburg, Freiburg, Germany; Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York
| | - Sami Ben-Hamida
- INSERM U1114, University Hospital of Strasbourg, Strasbourg, France; INSERM U1247, research group on alcohol and pharmacodependance (GRAP), University of Picardie Jules-Verne, Amiens, France
| | - Vincent Noblet
- Images, Learning, Geometry and Statistics team, UMR 7357, Laboratory of Engineering, Informatics and Imaging (ICube); Department of Psychiatry, University of Strasbourg, Strasbourg, France
| | - Cristina Antal
- Integrative Multimodal Imaging in Healthcare team, UMR 7357, Laboratory of Engineering, Informatics and Imaging (ICube); Department of Psychiatry, University of Strasbourg, Strasbourg, France; Faculty of Medicine, Histology Institute and Unité Fonctionnelle de Foetopathologie, University Hospital of Strasbourg, Strasbourg, France
| | - Thomas Bienert
- Department of Radiology, Medical Physics, University Medical Center Freiburg, Faculty of Medicine, University Freiburg, Freiburg, Germany
| | - Marco Reisert
- Department of Radiology, Medical Physics, University Medical Center Freiburg, Faculty of Medicine, University Freiburg, Freiburg, Germany
| | - Dominik von Elverfeldt
- Department of Radiology, Medical Physics, University Medical Center Freiburg, Faculty of Medicine, University Freiburg, Freiburg, Germany
| | | | - Laura-Adela Harsan
- Integrative Multimodal Imaging in Healthcare team, UMR 7357, Laboratory of Engineering, Informatics and Imaging (ICube); Department of Psychiatry, University of Strasbourg, Strasbourg, France; Department of Biophysics and Nuclear Medicine, University Hospital of Strasbourg, Strasbourg, France.
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17
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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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18
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Czerwińska-Błaszczyk A, Pawlak E, Pawłowski T. The Significance of Toll-Like Receptors in the Neuroimmunologic Background of Alcohol Dependence. Front Psychiatry 2022; 12:797123. [PMID: 35095609 PMCID: PMC8791063 DOI: 10.3389/fpsyt.2021.797123] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 12/13/2021] [Indexed: 01/02/2023] Open
Abstract
Toll-like receptors (TLR) are a group of protein belonging to the family of Pattern Recognition Receptors (PRR) which have the ability to distinguish between an organism's own antigens and foreign ones and to induce immunological response. TLR play a significant part in non-specific immunity but at the same time they are also a vital element linking non-specific response to the specific one. A growing number of data seems to indicate that the non-specific immunity mechanisms affect the development and sustenance of alcohol addiction. Alcohol damages the organism's cells not only directly but also through an increase inintestinal permeability which induces innate immune response of peripheral blood cells. The signaling pathway of Toll-like receptors located on the surface of brain immune cells intensifies the inflammatory reaction and, through modifying gene expression of proinflammatory factors, unnaturally supports it. This overly protracted "sterile inflammatory reaction" positively correlates with alcohol craving affecting also the functioning of the reward system structures and increasing the risk of relapse of alcoholism. Recurrent alcoholic binges sensitize the microglia and cause an escalation in inflammatory reaction which also leads to neurodegeneration. The induction of innate immunity signaling pathways exposes clinical symptoms of alcohol addiction such as increased impulsivity, loss of behavioral control, depressive-anxiety symptoms and cognitive dysfunctions. Traditional methods of treating alcohol addiction have tended to focus predominantly on reducing symptoms which-given the frequency of relapses-seems insufficient. The aim of the present paper is to discuss the role of toll-like receptors as elements of the immunity system which, together with the nervous system, plays a crucial part in the pathogenesis of alcohol addiction. We also wish to present pharmacotherapeutic perspectives targeted at the neuroimmunological mechanisms of alcohol addiction.
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Affiliation(s)
| | - Edyta Pawlak
- Laboratory of Immunopatology, Department of Experimental Therapy, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Tomasz Pawłowski
- Division of Psychotherapy and Psychosomatic Medicine, Wroclaw Medical University, Wroclaw, Poland
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19
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Neurophysiological correlate of incubation of craving in individuals with methamphetamine use disorder. Mol Psychiatry 2021; 26:6198-6208. [PMID: 34385601 DOI: 10.1038/s41380-021-01252-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 07/24/2021] [Accepted: 07/28/2021] [Indexed: 01/01/2023]
Abstract
Previous studies both in laboratory animals and humans have reported that abstinence induces incubation of cue-induced drug craving for nicotine, alcohol, cocaine, and methamphetamine. However, current experimental procedures utilized to study incubation of methamphetamine craving do not incorporate the temporal dynamics of neuropsychological measures and electrophysiological activities associated with this incubation process. This study utilized the high-density electroencephalogram (EEG) signals as a rapid, inexpensive, and noninvasive measure of cue-induced craving potential. A total of 156 male individuals with methamphetamine use disorder (MUD) enrolled in this multisite, cross-sectional study. Structured clinical interview data, self-report questionnaires (cued craving, quality of sleep, impulsivity, anxiety, and depression) and resting-state, eye-closed 128 high-density channel EEG signals were collected at 5 abstinence duration time points (<1, 1-3, 3-6, 6-12, and 12-24 months) to track the neuropsychological and neurophysiological signatures. Cue-induced craving was higher after 1-3 months than after the other time points. This incubation effect was also observed for sleep quality but not for anxiety, depression, and impulsivity symptoms, along with exhibited decreased power spectrum for theta (5.5-8 Hz) and alpha (8-13 Hz), and increased in beta (16.5-26.5 Hz) frequency band. Source reconstructed resting-state EEG analysis showed increased synchronization of medial prefrontal cortex (MPFC) for the beta frequency band in 1-3 months abstinent MUD group, and associated with the incubation of craving. Remarkably, the robust incubation-related abnormalities may be driven by beta-band source space connectivity between MPFC and bilateral orbital gyrus (ORB). Our findings suggest the enhancement of beta activity in the incubation period most likely originates from a dysfunction involving frontal brain regions. This neurophysiological signature of incubation of craving can be used to identify individuals who might be most susceptible to relapse, providing a potential insight into future therapeutic interventions for MUD via neuromodulation of beta activity.
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20
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Meyers JL, Zhang J, Chorlian DB, Pandey AK, Kamarajan C, Wang JC, Wetherill L, Lai D, Chao M, Chan G, Kinreich S, Kapoor M, Bertelsen S, McClintick J, Bauer L, Hesselbrock V, Kuperman S, Kramer J, Salvatore JE, Dick DM, Agrawal A, Foroud T, Edenberg HJ, Goate A, Porjesz B. A genome-wide association study of interhemispheric theta EEG coherence: implications for neural connectivity and alcohol use behavior. Mol Psychiatry 2021; 26:5040-5052. [PMID: 32433515 PMCID: PMC8503860 DOI: 10.1038/s41380-020-0777-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 02/14/2020] [Accepted: 05/04/2020] [Indexed: 12/23/2022]
Abstract
Aberrant connectivity of large-scale brain networks has been observed among individuals with alcohol use disorders (AUDs) as well as in those at risk, suggesting deficits in neural communication between brain regions in the liability to develop AUD. Electroencephalographical (EEG) coherence, which measures the degree of synchrony between brain regions, may be a useful measure of connectivity patterns in neural networks for studying the genetics of AUD. In 8810 individuals (6644 of European and 2166 of African ancestry) from the Collaborative Study on the Genetics of Alcoholism (COGA), we performed a Multi-Trait Analyses of genome-wide association studies (MTAG) on parietal resting-state theta (3-7 Hz) EEG coherence, which previously have been associated with AUD. We also examined developmental effects of GWAS findings on trajectories of neural connectivity in a longitudinal subsample of 2316 adolescent/young adult offspring from COGA families (ages 12-30) and examined the functional and clinical significance of GWAS variants. Six correlated single nucleotide polymorphisms located in a brain-expressed lincRNA (ENSG00000266213) on chromosome 18q23 were associated with posterior interhemispheric low theta EEG coherence (3-5 Hz). These same variants were also associated with alcohol use behavior and posterior corpus callosum volume, both in a subset of COGA and in the UK Biobank. Analyses in the subsample of COGA offspring indicated that the association of rs12954372 with low theta EEG coherence occurred only in females, most prominently between ages 25 and 30 (p < 2 × 10-9). Converging data provide support for the role of genetic variants on chromosome 18q23 in regulating neural connectivity and alcohol use behavior, potentially via dysregulated myelination. While findings were less robust, genome-wide associations were also observed with rs151174000 and parieto-frontal low theta coherence, rs14429078 and parieto-occipital interhemispheric high theta coherence, and rs116445911 with centro-parietal low theta coherence. These novel genetic findings highlight the utility of the endophenotype approach in enhancing our understanding of mechanisms underlying addiction susceptibility.
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Affiliation(s)
- Jacquelyn L Meyers
- Department of Psychiatry and the Henri Begleiter Neurodynamics Laboratory, State University of New York Downstate Medical Center, Brooklyn, NY, 11203, USA.
| | - Jian Zhang
- Department of Psychiatry and the Henri Begleiter Neurodynamics Laboratory, State University of New York Downstate Medical Center, Brooklyn, NY, 11203, USA
| | - David B Chorlian
- Department of Psychiatry and the Henri Begleiter Neurodynamics Laboratory, State University of New York Downstate Medical Center, Brooklyn, NY, 11203, USA
| | - Ashwini K Pandey
- Department of Psychiatry and the Henri Begleiter Neurodynamics Laboratory, State University of New York Downstate Medical Center, Brooklyn, NY, 11203, USA
| | - Chella Kamarajan
- Department of Psychiatry and the Henri Begleiter Neurodynamics Laboratory, State University of New York Downstate Medical Center, Brooklyn, NY, 11203, USA
| | - Jen-Chyong Wang
- Departments of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Departments of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Michael Chao
- Departments of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
| | - Sivan Kinreich
- Department of Psychiatry and the Henri Begleiter Neurodynamics Laboratory, State University of New York Downstate Medical Center, Brooklyn, NY, 11203, USA
| | - Manav Kapoor
- Departments of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Departments of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Sarah Bertelsen
- Departments of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Departments of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Jeanette McClintick
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Lance Bauer
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
| | - Samuel Kuperman
- Department of Psychiatry, Roy J and Lucille A Carver College of Medicine, University of Iowa, Iowa City, IA, 52242, USA
| | - John Kramer
- Department of Psychiatry, Roy J and Lucille A Carver College of Medicine, University of Iowa, Iowa City, IA, 52242, USA
| | - Jessica E Salvatore
- Department of Psychology and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, 23284, USA
| | - Danielle M Dick
- Department of Psychology and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, 23284, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Alison Goate
- Departments of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Departments of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Bernice Porjesz
- Department of Psychiatry and the Henri Begleiter Neurodynamics Laboratory, State University of New York Downstate Medical Center, Brooklyn, NY, 11203, USA
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Bochkarev VK, Vasiliev NG, Kirenskaya AV, Tkachenko AA. [Neurophysiological correlates of pedophilia: a study of EEG evoked oscillations]. Zh Nevrol Psikhiatr Im S S Korsakova 2021; 121:52-58. [PMID: 34283530 DOI: 10.17116/jnevro202112106152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVE To study the changes of evoked EEG oscillations in response to erotic visual stimuli to identify specific patterns in subjects with different variants of pedophilia. MATERIAL AND METHODS Forty-eight right-handed male offenders who have committed sexual acts against children participated in the study. Seventeen subjects without paraphilic disorders were included in group 1, 17 subjects with heterosexual pedophilia were included in group 2, and 13 subjects with homosexual pedophilia were included in group 3. The stimuli were colored pictures of neutral, heterosexual normative, hetero- and homosexual pedophilic content shortly demonstrated with backward masking. Spectral power of delta, theta, alpha, and beta evoked oscillations (EO) was analyzed. Further, the number of significant changes of EO power in response to erotic stimuli relative to neutral ones was calculated, and topography changes of EO power in response to specific erotic pictures compared to neutral ones were analyzed for each group. RESULTS The diminished number of significant reactions to specific stimuli was found in the pedophilia groups (18 and 4 in groups 2 and 3, respectively) in comparison with the group without paraphilia (25). The specific changes of EO power in response to specific erotic visual pictures were found for each group. Increased power of delta, theta and alpha EO in the 104-164 ms time window, and decreased power of alpha EO in the 344-920 ms time window were found in group 1. In group 2, specific stimulation elicited decline of delta and theta EO power, possibly related to impaired motivational and emotional aspects of erotic stimuli perception. The weak changes were found in group 3 - increased power of beta EO in the frontal area. CONCLUSION The obtained frequency and spatial patterns of EO changes in response to erotic visual pictures are related to specificity of hetero- and homosexual pedophilia.
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Affiliation(s)
- V K Bochkarev
- Serbsky National Medical Research Centre for Psychiatry and Narcology, Moscow, Russia
| | - N G Vasiliev
- Serbsky National Medical Research Centre for Psychiatry and Narcology, Moscow, Russia
| | - A V Kirenskaya
- Serbsky National Medical Research Centre for Psychiatry and Narcology, Moscow, Russia
| | - A A Tkachenko
- Serbsky National Medical Research Centre for Psychiatry and Narcology, Moscow, Russia.,Sechenov First Moscow State Medical University, Moscow, Russia
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22
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The Amygdala Responds Rapidly to Flashes Linked to Direct Retinal Innervation: A Flash-evoked Potential Study Across Cortical and Subcortical Visual Pathways. Neurosci Bull 2021; 37:1107-1118. [PMID: 34086263 DOI: 10.1007/s12264-021-00699-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Accepted: 02/27/2021] [Indexed: 12/20/2022] Open
Abstract
Rapid detection and response to visual threats are critical for survival in animals. The amygdala (AMY) is hypothesized to be involved in this process, but how it interacts with the visual system to do this remains unclear. By recording flash-evoked potentials simultaneously from the superior colliculus (SC), lateral posterior nucleus of the thalamus, AMY, lateral geniculate nucleus (LGN) and visual cortex, which belong to the cortical and subcortical pathways for visual fear processing, we investigated the temporal relationship between these regions in visual processing in rats. A quick flash-evoked potential (FEP) component was identified in the AMY. This emerged as early as in the LGN and was approximately 25 ms prior to the earliest component recorded in the SC, which was assumed to be an important area in visual fear. This quick P1 component in the AMY was not affected by restraint stress or corticosterone injection, but was diminished by RU38486, a glucocorticoid receptor blocker. By injecting a monosynaptic retrograde AAV tracer into the AMY, we found that it received a direct projection from the retina. These results confirm the existence of a direct connection from the retina to the AMY, that the latency in the AMY to flashes is equivalent to that in the sensory thalamus, and that the response is modulated by glucocorticoids.
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Kumar R, Kumar KJ, Benegal V, Roopesh BN, Ravi GS. Effectiveness of an Integrated Intervention Program for Alcoholism: Electrophysiological Findings. Indian J Psychol Med 2021; 43:223-233. [PMID: 34345098 PMCID: PMC8287391 DOI: 10.1177/0253717620927870] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Neuroelectrophysiological measures such as electroencephalograms (EEGs) in resting state and event-related potentials (ERPs) provide valuable information about the vulnerability and treatment-related changes in persons with alcoholism. This study examined the effectiveness of an Integrated Intervention Program for Alcoholism (IIPA) using electrophysiological measures. METHODS Fifty individuals with early onset of alcohol dependence participated. They were grouped randomly into two: the treatment as usual (TAU) group and the treatment group, matched on age (±1 year) and education (±1 year). eyes closed and resting state EEGs and ERPs on cognitive tasks (flanker task, alcohol Go/No-Go task, and single outcome gambling task) were recorded before and after treatment. The TAU group received pharmacotherapy, six days/week yoga sessions, and three sessions/week group therapy on relapse prevention while the treatment group received IIPA along with usual treatment (except yoga) for 18 days. RESULTS There was no significant difference between the groups pre-treatment. RM-ANOVA for pre- and post-treatment stages showed a significant difference between the two groups in the absolute power of alpha, beta, theta, and delta, during eye closure, in the resting-state EEGs. The treatment group showed significantly larger N200/N2 amplitude in congruent and incongruent conditions (flanker task), N200/N2 amplitude for alcohol No-Go, P300/P3 amplitude for neutral No-Go on alcohol Go/No-Go task, and outcome-related positivity (ORP) amplitude on single outcome gambling task. CONCLUSION This exploratory study suggests that IIPA is effective for enhancing relaxation state and attentiveness, decreasing hyperarousal, and ameliorating neurocognitive dysfunctions of conflict-monitoring, response inhibition, and reward processing.
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Affiliation(s)
- Rajesh Kumar
- Dept. of Clinical Psychology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Keshav Janakiprasad Kumar
- Dept. of Clinical Psychology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Vivek Benegal
- Dept. of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Bangalore N Roopesh
- Dept. of Clinical Psychology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Girikematha S Ravi
- Dept. of Biostatistics, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
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Creupelandt C, D'Hondt F, Maurage P. Neural correlates of visuoperceptive changes in severe alcohol use disorder: A critical review of neuroimaging and electrophysiological findings. J Neurosci Res 2021; 99:1253-1275. [PMID: 33550638 DOI: 10.1002/jnr.24799] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 01/04/2021] [Accepted: 01/06/2021] [Indexed: 01/04/2023]
Abstract
Visuoperceptive deficits are frequently reported in severe alcohol use disorder (SAUD) and are considered as pervasive and persistent in time. While this topic of investigation has previously driven researchers' interest, far fewer studies have focused on visuoperception in SAUD since the '90s, leaving open central questions regarding the origin and implications of these deficits. To renew research in the field and provide a solid background to work upon, this paper reviews the neural correlates of visuoperception in SAUD, based on data from neuroimaging and electrophysiological studies. Results reveal structural and functional changes within the visual system but also in the connections between occipital and frontal areas. We highlight the lack of integration of these findings in the dominant models of vision which stress the dynamic nature of the visual system and consider the presence of both bottom-up and top-down cerebral mechanisms. Visuoperceptive changes are also discussed in the framework of long-lasting debates regarding the influence of demographic and alcohol-related factors, together stressing the presence of inter-individual differences. Capitalizing on this review, we provide guidelines to inform future research, and ultimately improve clinical care.
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Affiliation(s)
- Coralie Creupelandt
- Louvain Experimental Psychopathology Research Group (UCLEP), Faculté de Psychologie, Psychological Sciences Research Institute (IPSY), UCLouvain, Louvain-la-Neuve, Belgium
| | - Fabien D'Hondt
- Univ. Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Lille, France.,CHU Lille, Clinique de Psychiatrie, CURE, Lille, France.,Centre National de Ressources et de Résilience Lille-Paris (CN2R), Lille, France
| | - Pierre Maurage
- Louvain Experimental Psychopathology Research Group (UCLEP), Faculté de Psychologie, Psychological Sciences Research Institute (IPSY), UCLouvain, Louvain-la-Neuve, Belgium
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Ali F, Sreeraj VS, Nadella RK, Holla B, Mahadevan J, Ithal D, Balachander S, Viswanath B, Venkatasubramanian G, John JP, Reddy YCJ, Jain S. Estimating the familial risk of psychiatric illnesses: A review of family history scores. Asian J Psychiatr 2021; 56:102551. [PMID: 33453492 DOI: 10.1016/j.ajp.2021.102551] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 12/17/2020] [Accepted: 01/05/2021] [Indexed: 11/26/2022]
Abstract
A history of psychiatric illnesses in family members of those diagnosed to have an illness has been of significant interest both in research and in clinical practice. Almost all of the major psychiatric illnesses have a familial component to them, perhaps influenced by genetics and a shared environment or their combination. Systematic attempts have been made to quantify these familial risks, as obtained from family history (FH) of psychiatric illnesses. The methods range from a simple dichotomous or count scores to those quantifying as weighted risks such as the Family history density (FHD) measures. This article reviews the available literature on such FH methods and discusses their advantages and limitations. Validation studies have shown that FHD measures may be preferred over dichotomous measures as indicators of familial risk. However, the FHD method has certain limitations, like mostly relying on categorical diagnosis and ignoring other familial risk factors. By critically analysing various existing density measures based on 'ideal characteristics', we suggest a modified version of FHD that would benefit psychiatric research.
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Affiliation(s)
- Furkhan Ali
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru
| | - Vanteemar S Sreeraj
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru.
| | - Ravi Kumar Nadella
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru
| | - Bharath Holla
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru
| | - Jayant Mahadevan
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru
| | - Dhruva Ithal
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru
| | - Srinivas Balachander
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru
| | - Biju Viswanath
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru
| | | | - John P John
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru
| | - Y C Janardhan Reddy
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru
| | - Sanjeev Jain
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru
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26
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Kuntz A, Missonnier P, Prévot A, Favre G, Herrmann FR, Debatisse D, Merlo MCG, Gothuey I. Persistence of Neuronal Alterations in Alcohol-Dependent Patients at Conclusion of the Gold Standard Withdrawal Treatment: Evidence From ERPs. Front Psychiatry 2021; 12:666063. [PMID: 34526916 PMCID: PMC8435667 DOI: 10.3389/fpsyt.2021.666063] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 06/23/2021] [Indexed: 11/24/2022] Open
Abstract
Background: One of the main challenges for clinicians is to ensure that alcohol withdrawal treatment is the most effective possible after discharge. To address this issue, we designed a pilot study to investigate the efficacy of the rehabilitation treatment on the main stages of information processing, using an electroencephalographic method. This topic is of main importance as relapse rates after alcohol withdrawal treatment remain very high, indicating that established treatment methods are not fully effective in all patients in the long run. Method: We examined in alcohol-dependent patients (ADP) the effects of the benzodiazepine-based standard detoxification program on event-related potential components at incoming (D0) and completion (D15) of the treatment, using tasks of increasing difficulty (with and without workload) during an auditory oddball target paradigm. Untreated non-alcohol-dependent-volunteers were used as matching controls. Results: At D0, ADP displayed significantly lower amplitude for all ERP components in both tasks, as compared to controls. At D15, this difference disappeared for the amplitude of the N1 component during the workload-free task, as well as the amplitude of the P3b for both tasks. Meanwhile, the amplitude of the N2 remained lower in both tasks for ADP. At D0, latencies of N2 and P3b in both task conditions were longer in ADP, as compared to controls, whilst the latency of N1 was unchanged. At D15, the N2 latency remained longer for the workload condition only, whereas the P3b latency remained longer for the workload-free task only. Conclusion: The present pilot results provide evidence for a persistence of impaired parameters of ERP components, especially the N2 component. This suggests that neural networks related to attention processing remain dysfunctional. Longitudinal long-term follow-up of these patients is mandatory for further assessment of a link between ERP alterations and a later risk of relapse.
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Affiliation(s)
- André Kuntz
- Mental Health Network Fribourg (RFSM), Sector of Psychiatry and Psychotherapy for Adults, Marsens, Switzerland
| | - Pascal Missonnier
- Mental Health Network Fribourg (RFSM), Sector of Psychiatry and Psychotherapy for Adults, Marsens, Switzerland.,Laboratory for Psychiatric Neuroscience and Psychotherapy, Department of Neuroscience, Faculty of Science and Medicine, University of Fribourg, Fribourg, Switzerland
| | - Anne Prévot
- School of Health Sciences (HEdS-FR), HES-SO University of Applied Sciences and Arts Western Switzerland, Fribourg, Switzerland
| | - Grégoire Favre
- Mental Health Network Fribourg (RFSM), Sector of Psychiatry and Psychotherapy for Adults, Marsens, Switzerland.,Laboratory for Psychiatric Neuroscience and Psychotherapy, Department of Neuroscience, Faculty of Science and Medicine, University of Fribourg, Fribourg, Switzerland
| | - François R Herrmann
- Division of Geriatrics, Department of Rehabilitation and Geriatrics, Geneva University Hospitals and University of Geneva, Thônex, Switzerland
| | - Damien Debatisse
- HELIOS Privatkliniken GmbH - Wuppertal-Universität/Barmen, Wuppertal, Germany.,Department of Neurosurgery, Universität Kliniken der Stadt Köln gGmbH, Krankenhaus Merheim, Cologne, Germany
| | - Marco C G Merlo
- Laboratory for Psychiatric Neuroscience and Psychotherapy, Department of Neuroscience, Faculty of Science and Medicine, University of Fribourg, Fribourg, Switzerland
| | - Isabelle Gothuey
- Mental Health Network Fribourg (RFSM), Sector of Psychiatry and Psychotherapy for Adults, Marsens, Switzerland
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Beerten-Duijkers JCLM, Vissers CTWM, Rinck M, Egger JIM. Inhibitory Control and Craving in Dual Disorders and Recurrent Substance Use. Preliminary Findings. Front Psychiatry 2021; 12:569817. [PMID: 33613336 PMCID: PMC7886692 DOI: 10.3389/fpsyt.2021.569817] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 01/04/2021] [Indexed: 11/23/2022] Open
Abstract
Objective: In Dual Disorders (DD), which involves the co-occurrence of a disorder in substance use and a mental disorder, recurrent struggles with addictive behavior are frequent. Neuropsychological knowledge concerning the profile of inhibitory control and the irresistible urge to use substances (craving) within the DD patient group may contribute to the prevention of this recurrent addictive behavior. Methods: Inhibitory control and craving were assessed in 25 patients with DD and 25 healthy controls (HC). Inhibitory control tasks (Go/No-go task and Stop Signal Task) were performed combined with brain measurements (Event Related Potentials) mapping inhibitory control. Moreover, implicit and explicit measures concerning craving were administered. Statistical DD and HC comparisons, correlational and regression analyses on exploratory base were conducted. Results: DD patients committed more inhibitory control errors than HC when confronted with (alcohol) consumption-related picture stimuli. Furthermore, patients with DD showed higher levels of implicit and explicit craving. The number of inhibitory control errors was positively related to levels of implicit and explicit craving. Moreover, explicit craving and impulsivity (as a dimension of inhibitory control) predicted the severity of addictive behavior. Event Related Potential analyses did not show differences in inhibitory control-associated brain activity between DD patients and HC; both groups showed reduction of P300 amplitudes in response to alcohol pictures. Conclusions: Impulsivity and craving are elevated in DD patients and show predictive value for the severity of addictive behavior. One's level of impulsive action tendency may trigger less effort to control (recurrent) substance use. The findings may contribute to existing DD treatment indications by the promotion of impulse control training via "stop-think-act" methods for DD patients.
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Affiliation(s)
- Judith C L M Beerten-Duijkers
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands.,Centre of Excellence for Korsakoff and Alcohol Related Cognitive Dysfunctions/Addiction Care, Vincent van Gogh Institute for Psychiatry, Venray, Netherlands
| | - Constance Th W M Vissers
- Kentalis Academy, Royal Dutch Kentalis, Sint-Michielsgestel, Netherlands.,Behavioural Science Institute, Radboud University, Nijmegen, Netherlands
| | - Mike Rinck
- Behavioural Science Institute, Radboud University, Nijmegen, Netherlands
| | - Jos I M Egger
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands.,Centre of Excellence for Korsakoff and Alcohol Related Cognitive Dysfunctions/Addiction Care, Vincent van Gogh Institute for Psychiatry, Venray, Netherlands.,Centre of Excellence for Neuropsychiatry, Vincent van Gogh Institute for Psychiatry, Venray, Netherlands.,Stevig Specialized and Forensic Care for People With Intellectual Disabilities, Dichterbij, Oostrum, Netherlands
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28
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Almeida-Antunes N, Crego A, Carbia C, Sousa SS, Rodrigues R, Sampaio A, López-Caneda E. Electroencephalographic signatures of the binge drinking pattern during adolescence and young adulthood: A PRISMA-driven systematic review. NEUROIMAGE-CLINICAL 2020; 29:102537. [PMID: 33418172 PMCID: PMC7803655 DOI: 10.1016/j.nicl.2020.102537] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 11/13/2020] [Accepted: 12/14/2020] [Indexed: 01/10/2023]
Abstract
Controls and binge drinkers (BDs) do not differ in their behavioral performance. BDs show increased neural activity during attention, working memory and inhibition. Augmented P3 amplitude in BDs was the most solid electrophysiological finding. Evidence does not support specific gender vulnerabilities to the effects of BD. Memory, emotional processing and decision-making processes need further exploration.
Research on neurophysiological impairments associated with binge drinking (BD), an excessive but episodic alcohol use pattern, has significantly increased over the last decade. This work is the first to systematically review –following PRISMA guidelines- the empirical evidence regarding the effects of BD on neural activity –assessed by electroencephalography- of adolescents and young adults. A systematic review was conducted in 34 studies (N = 1723). Results indicated that binge drinkers (BDs) showed similar behavioral performance as non/low drinkers. The most solid electrophysiological finding was an augmented P3 amplitude during attention, working memory and inhibition tasks. This increased neural activity suggests the recruitment of additional resources to perform the task at adequate/successful levels, which supports the neurocompensation hypothesis. Similar to alcoholics, BDs also displayed increased reactivity to alcohol-related cues, augmented resting-state electrophysiological signal and reduced activity during error detection –which gives support to the continuum hypothesis. Evidence does not seem to support greater vulnerability to BD in females. Replication and longitudinal studies are required to account for mixed results and to elucidate the extent/direction of the neural impairments associated with BD.
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Affiliation(s)
- Natália Almeida-Antunes
- Psychological Neuroscience Laboratory (PNL), Research Center in Psychology (CIPsi), School of Psychology, University of Minho, Campus de Gualtar, Portugal
| | - Alberto Crego
- Psychological Neuroscience Laboratory (PNL), Research Center in Psychology (CIPsi), School of Psychology, University of Minho, Campus de Gualtar, Portugal
| | - Carina Carbia
- APC Microbiome Ireland, University College Cork, Cork, Ireland
| | - Sónia S Sousa
- Psychological Neuroscience Laboratory (PNL), Research Center in Psychology (CIPsi), School of Psychology, University of Minho, Campus de Gualtar, Portugal
| | - Rui Rodrigues
- Psychological Neuroscience Laboratory (PNL), Research Center in Psychology (CIPsi), School of Psychology, University of Minho, Campus de Gualtar, Portugal
| | - Adriana Sampaio
- Psychological Neuroscience Laboratory (PNL), Research Center in Psychology (CIPsi), School of Psychology, University of Minho, Campus de Gualtar, Portugal
| | - Eduardo López-Caneda
- Psychological Neuroscience Laboratory (PNL), Research Center in Psychology (CIPsi), School of Psychology, University of Minho, Campus de Gualtar, Portugal.
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Delta Event-Related Oscillations Are Related to a History of Extreme Binge Drinking in Adolescence and Lifetime Suicide Risk. Behav Sci (Basel) 2020; 10:bs10100154. [PMID: 33036364 PMCID: PMC7599813 DOI: 10.3390/bs10100154] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 09/30/2020] [Accepted: 10/02/2020] [Indexed: 11/18/2022] Open
Abstract
Alcohol exposure typically begins in adolescence, and heavy binge drinking is associated with health risk behaviors. Event-related oscillations (EROs) may represent sensitive biomarkers or endophenotypes for early alcohol exposure as well as other risk behaviors such as suicidal thoughts and actions. In this study, young adults (age 18–30 years) of American Indian (AI) (n = 479) and Mexican American (MA) (n = 705) ancestry were clinically assessed, and EROs were generated to happy, sad and neutral faces. Extreme adolescent binge drinking (10+ drinks) was common (20%) in this population of AI/MA and associated with a significantly increased risk of a lifetime history of suicidal acts (SA, suicide attempts, deaths) but not suicidal thoughts (ST, ideation, plans). ST were reported among MA participants, whereas SA were more common among AI young adults. Extreme adolescent binge drinking was also associated with errors in detection of sad and neutral faces, increases in delta ERO energy, and decreases in phase locking (PL), particularly in parietal areas. A lifetime history of ST was associated with increases in delta ERO energy and PL, whereas SA were associated with decreases in both. These studies suggest that ERO measures may represent important potential biomarkers of adolescent extreme binge drinking and risk for suicidal behaviors.
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30
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Burleigh TL, Griffiths MD, Sumich A, Wang GY, Kuss DJ. Gaming disorder and internet addiction: A systematic review of resting-state EEG studies. Addict Behav 2020; 107:106429. [PMID: 32283445 DOI: 10.1016/j.addbeh.2020.106429] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 04/02/2020] [Accepted: 04/03/2020] [Indexed: 02/07/2023]
Abstract
Neurophysiological studies of Gaming Disorder (GD) and internet addiction (IA) are providing important insight into neurocognitive mechanisms underpinning these disorders, which will enable more accurate diagnostic classification. Electroencephalography (EEG) has been widely used to investigate addictive behaviours, and offers advantages of accessibility, low cost, and excellent temporal resolution. The present systematic review evaluates resting-state EEG studies in GD and IA. Papers (n = 7293) were identified in the PsychARTICLES, PsychINFO, Scopus, and Pubmed databases. Following inclusion/exclusion criteria, ten studies remained for evaluation. Results suggest individuals with GD have raised delta and theta activity and reduced beta activity, with coherence analysis suggesting altered brain activity in the mid-to-high frequency range. IA individuals demonstrate raised gamma activity and reduced beta and delta activity. Results suggest that the altered brain activity found in GD/IA may represent distinct underlying neurophysiological markers or traits, lending further support to their unique constructs. Results are also discussed in relation to relevant psychometric measurements and similar (higher frequency) activity found in substance addiction. Future research should focus on replicating the findings in a wider variety of cultural contexts to support the neurophysiological basis of classifying GD and IA.
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31
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Deficient processing of alcohol cues in the addicted brain: Evidence from event-related potential microstates. Clin Neurophysiol 2020; 131:2224-2235. [PMID: 32711347 DOI: 10.1016/j.clinph.2020.06.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2016] [Revised: 05/29/2020] [Accepted: 06/02/2020] [Indexed: 11/21/2022]
Abstract
OBJECTIVE Patients with alcohol use disorder (AUD) show altered brain responses to alcohol cues as compared to healthy controls. Event-related potential (ERP) studies mostly focus on the P3, which is usually diminished in AUD patients. The few studies that have investigated earlier components have yielded inconsistent results. The present study aimed at identifying the onset of impaired alcohol cue processing in AUD patients, as well as the association between neurophysiological processing and subjective craving. METHODS A sample of 15 inpatients with AUD and 15 healthy controls completed a cue reactivity task with alcohol-related, neutral, and scrambled pictures. Multichannel-EEG was recorded from 70 scalp electrodes, and ERP microstates were analyzed. RESULTS Patients displayed impaired neurophysiological processing, as indexed by a weaker P3 and a weaker, insensitive P1. The blunted P1 was associated with higher subjective craving. CONCLUSIONS Impaired alcohol cue processing in AUD emerges early, at the stage of sensory processing. Such deficient initial processing seems crucial to understanding cue reactivity processes in the brain and in the subjective experience of craving. SIGNIFICANCE The results highlight the importance of investigating early ERP components preceding the P3, and contribute to the debate on the onset of information-processing dysfunction in the addicted brain.
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32
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Dousset C, Kajosch H, Ingels A, Schröder E, Kornreich C, Campanella S. Preventing relapse in alcohol disorder with EEG-neurofeedback as a neuromodulation technique: A review and new insights regarding its application. Addict Behav 2020; 106:106391. [PMID: 32197211 DOI: 10.1016/j.addbeh.2020.106391] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 01/22/2020] [Accepted: 03/09/2020] [Indexed: 02/07/2023]
Abstract
Alcohol Use Disorder (AUD) has a disconcertingly high relapse rate (70-80% within a year following withdrawal). Preventing relapse or minimizing its extent is hence a challenging goal for long-term successful management of AUD. New perspectives that rely on diverse neuromodulation tools have been developed in this regard as care supports. This paper focuses on electroencephalogram-neurofeedback (EEG-NF), which is a tool that has experienced renewed interest in both clinical and research areas. We review the literature on EEG-based neurofeedback studies investigating the efficacy in AUD and including at least 10 neurofeedback training sessions. As neurofeedback is a form of biofeedback in which a measure of brain activity is provided as feedback in real-time to a subject, the high degree of temporal resolution of the EEG interface supports optimal learning. By offering a wide range of brain oscillation targets (alpha, beta, theta, delta, gamma, and SMR) the EEG-NF procedure increases the scope of possible investigations through a multitude of experimental protocols that can be considered to reinforce or inhibit specific forms of EEG activity associated with AUD-related cognitive impairments. The present review provides an overview of the EEG-NF protocols that have been used in AUD and it highlights the current paucity of robust evidence. Within this framework, this review presents the arguments in favor of the application of EEG-NF as an add-on tool in the management of alcohol disorders to enhance the cognitive abilities required to maintain abstinence more specifically, with a focus on inhibition and attentional skills.
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33
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Amico E, Dzemidzic M, Oberlin BG, Carron CR, Harezlak J, Goñi J, Kareken DA. The disengaging brain: Dynamic transitions from cognitive engagement and alcoholism risk. Neuroimage 2020; 209:116515. [PMID: 31904492 PMCID: PMC8496455 DOI: 10.1016/j.neuroimage.2020.116515] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 01/01/2020] [Indexed: 10/25/2022] Open
Abstract
Human functional brain connectivity is usually measured either at "rest" or during cognitive tasks, ignoring life's moments of mental transition. We propose a different approach to understanding brain network transitions. We applied a novel independent component analysis of functional connectivity during motor inhibition (stop signal task) and during the continuous transition to an immediately ensuing rest. A functional network reconfiguration process emerged that: (i) was most prominent in those without familial alcoholism risk, (ii) encompassed brain areas engaged by the task, yet (iii) appeared only transiently after task cessation. The pattern was not present in a pre-task rest scan or in the remaining minutes of post-task rest. Finally, this transient network reconfiguration related to a key behavioral trait of addiction risk: reward delay discounting. These novel findings illustrate how dynamic brain functional reconfiguration during normally unstudied periods of cognitive transition might reflect addiction vulnerability, and potentially other forms of brain dysfunction.
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Affiliation(s)
- Enrico Amico
- Purdue Institute for Integrative Neuroscience, Purdue University, USA; School of Industrial Engineering, Purdue University, USA
| | - Mario Dzemidzic
- Department of Neurology, Indiana University School of Medicine, Indiana Alcohol Research Center, USA
| | - Brandon G Oberlin
- Department of Neurology, Indiana University School of Medicine, Indiana Alcohol Research Center, USA; Department of Psychiatry, Indiana University School of Medicine, USA
| | - Claire R Carron
- Department of Neurology, Indiana University School of Medicine, Indiana Alcohol Research Center, USA
| | - Jaroslaw Harezlak
- Department of Epidemiology and Biostatistics, Indiana University, USA
| | - Joaquín Goñi
- Purdue Institute for Integrative Neuroscience, Purdue University, USA; School of Industrial Engineering, Purdue University, USA; Weldon School of Biomedical Engineering, Purdue University, USA.
| | - David A Kareken
- Department of Neurology, Indiana University School of Medicine, Indiana Alcohol Research Center, USA.
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34
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Kamarajan C, Ardekani BA, Pandey AK, Chorlian DB, Kinreich S, Pandey G, Meyers JL, Zhang J, Kuang W, Stimus AT, Porjesz B. Random Forest Classification of Alcohol Use Disorder Using EEG Source Functional Connectivity, Neuropsychological Functioning, and Impulsivity Measures. Behav Sci (Basel) 2020; 10:bs10030062. [PMID: 32121585 PMCID: PMC7139327 DOI: 10.3390/bs10030062] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 02/26/2020] [Accepted: 02/28/2020] [Indexed: 12/16/2022] Open
Abstract
: Individuals with alcohol use disorder (AUD) manifest a variety of impairments that can be attributed to alterations in specific brain networks. The current study aims to identify features of EEG-based functional connectivity, neuropsychological performance, and impulsivity that can classify individuals with AUD (N = 30) from unaffected controls (CTL, N = 30) using random forest classification. The features included were: (i) EEG source functional connectivity (FC) of the default mode network (DMN) derived using eLORETA algorithm, (ii) neuropsychological scores from the Tower of London test (TOLT) and the visual span test (VST), and (iii) impulsivity factors from the Barratt impulsiveness scale (BIS). The random forest model achieved a classification accuracy of 80% and identified 29 FC connections (among 66 connections per frequency band), 3 neuropsychological variables from VST (total number of correctly performed trials in forward and backward sequences and average time for correct trials in forward sequence) and all four impulsivity scores (motor, non-planning, attentional, and total) as significantly contributing to classifying individuals as either AUD or CTL. Although there was a significant age difference between the groups, most of the top variables that contributed to the classification were not significantly correlated with age. The AUD group showed a predominant pattern of hyperconnectivity among 25 of 29 significant connections, indicating aberrant network functioning during resting state suggestive of neural hyperexcitability and impulsivity. Further, parahippocampal hyperconnectivity with other DMN regions was identified as a major hub region dysregulated in AUD (13 connections overall), possibly due to neural damage from chronic drinking, which may give rise to cognitive impairments, including memory deficits and blackouts. Furthermore, hypoconnectivity observed in four connections (prefrontal nodes connecting posterior right-hemispheric regions) may indicate a weaker or fractured prefrontal connectivity with other regions, which may be related to impaired higher cognitive functions. The AUD group also showed poorer memory performance on the VST task and increased impulsivity in all factors compared to controls. Features from all three domains had significant associations with one another. These results indicate that dysregulated neural connectivity across the DMN regions, especially relating to hyperconnected parahippocampal hub as well as hypoconnected prefrontal hub, may potentially represent neurophysiological biomarkers of AUD, while poor visual memory performance and heightened impulsivity may serve as cognitive-behavioral indices of AUD.
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Affiliation(s)
- Chella Kamarajan
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
- Correspondence: ; Tel.: +1-718-270-2913
| | - Babak A. Ardekani
- Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY 10962, USA;
- Department of Psychiatry, NYU School of Medicine, New York, NY 10016, USA
| | - Ashwini K. Pandey
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - David B. Chorlian
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - Sivan Kinreich
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - Gayathri Pandey
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - Jacquelyn L. Meyers
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - Jian Zhang
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - Weipeng Kuang
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - Arthur T. Stimus
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
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Pandey G, Seay MJ, Meyers JL, Chorlian DB, Pandey AK, Kamarajan C, Ehrenberg M, Pitti D, Kinreich S, Subbie-Saenz de Viteri S, Acion L, Anokhin A, Bauer L, Chan G, Edenberg H, Hesselbrock V, Kuperman S, McCutcheon VV, Bucholz KK, Schuckit M, Porjesz B. Density and Dichotomous Family History Measures of Alcohol Use Disorder as Predictors of Behavioral and Neural Phenotypes: A Comparative Study Across Gender and Race/Ethnicity. Alcohol Clin Exp Res 2020; 44:697-710. [PMID: 31957047 PMCID: PMC8357185 DOI: 10.1111/acer.14280] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 12/22/2019] [Indexed: 11/28/2022]
Abstract
BACKGROUND Family history (FH) is an important risk factor for the development of alcohol use disorder (AUD). A variety of dichotomous and density measures of FH have been used to predict alcohol outcomes; yet, a systematic comparison of these FH measures is lacking. We compared 4 density and 4 commonly used dichotomous FH measures and examined variations by gender and race/ethnicity in their associations with age of onset of regular drinking, parietal P3 amplitude to visual target, and likelihood of developing AUD. METHODS Data from the Collaborative Study on the Genetics of Alcoholism (COGA) were utilized to compute the density and dichotomous measures. Only subjects and their family members with DSM-5 AUD diagnostic information obtained through direct interviews using the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA) were included in the study. Area under receiver operating characteristic curves were used to compare the diagnostic accuracy of FH measures at classifying DSM-5 AUD diagnosis. Logistic and linear regression models were used to examine associations of FH measures with alcohol outcomes. RESULTS Density measures had greater diagnostic accuracy at classifying AUD diagnosis, whereas dichotomous measures presented diagnostic accuracy closer to random chance. Both dichotomous and density measures were significantly associated with likelihood of AUD, early onset of regular drinking, and low parietal P3 amplitude, but density measures presented consistently more robust associations. Further, variations in these associations were observed such that among males (vs. females) and Whites (vs. Blacks), associations of alcohol outcomes with density (vs. dichotomous) measures were greater in magnitude. CONCLUSIONS Density (vs. dichotomous) measures seem to present more robust associations with alcohol outcomes. However, associations of dichotomous and density FH measures with different alcohol outcomes (behavioral vs. neural) varied across gender and race/ethnicity. These findings have great applicability for alcohol research examining FH of AUD.
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Affiliation(s)
- Gayathri Pandey
- From the, Department of Psychiatry and Behavioral Sciences, (GP, JLM, DBC, AKP, CK, ME, DP, S Kinreich, SS-SV, BP), Downstate Medical Center, State University of New York, Brooklyn, New York
| | - Michael J Seay
- Department of Psychology, (MJS), University of California, Los Angeles, California
| | - Jacquelyn L Meyers
- From the, Department of Psychiatry and Behavioral Sciences, (GP, JLM, DBC, AKP, CK, ME, DP, S Kinreich, SS-SV, BP), Downstate Medical Center, State University of New York, Brooklyn, New York
| | - David B Chorlian
- From the, Department of Psychiatry and Behavioral Sciences, (GP, JLM, DBC, AKP, CK, ME, DP, S Kinreich, SS-SV, BP), Downstate Medical Center, State University of New York, Brooklyn, New York
| | - Ashwini K Pandey
- From the, Department of Psychiatry and Behavioral Sciences, (GP, JLM, DBC, AKP, CK, ME, DP, S Kinreich, SS-SV, BP), Downstate Medical Center, State University of New York, Brooklyn, New York
| | - Chella Kamarajan
- From the, Department of Psychiatry and Behavioral Sciences, (GP, JLM, DBC, AKP, CK, ME, DP, S Kinreich, SS-SV, BP), Downstate Medical Center, State University of New York, Brooklyn, New York
| | - Morton Ehrenberg
- From the, Department of Psychiatry and Behavioral Sciences, (GP, JLM, DBC, AKP, CK, ME, DP, S Kinreich, SS-SV, BP), Downstate Medical Center, State University of New York, Brooklyn, New York
| | - Daniel Pitti
- From the, Department of Psychiatry and Behavioral Sciences, (GP, JLM, DBC, AKP, CK, ME, DP, S Kinreich, SS-SV, BP), Downstate Medical Center, State University of New York, Brooklyn, New York
| | - Sivan Kinreich
- From the, Department of Psychiatry and Behavioral Sciences, (GP, JLM, DBC, AKP, CK, ME, DP, S Kinreich, SS-SV, BP), Downstate Medical Center, State University of New York, Brooklyn, New York
| | - Stacey Subbie-Saenz de Viteri
- From the, Department of Psychiatry and Behavioral Sciences, (GP, JLM, DBC, AKP, CK, ME, DP, S Kinreich, SS-SV, BP), Downstate Medical Center, State University of New York, Brooklyn, New York
| | - Laura Acion
- Iowa Consortium for Substance Abuse Research and Evaluation, (LA), University of Iowa, Iowa City, Iowa
| | - Andrey Anokhin
- Department of Psychiatry, (AA, VVM, KKB), Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Lance Bauer
- Department of Psychiatry, (LB, GC, VH), University of Connecticut School of Medicine, Farmington, Connecticut
| | - Grace Chan
- Department of Psychiatry, (LB, GC, VH), University of Connecticut School of Medicine, Farmington, Connecticut
| | - Howard Edenberg
- Department of Biochemistry and Molecular Biology, (HE), Indiana University School of Medicine, Indianapolis, Indiana
| | - Victor Hesselbrock
- Department of Psychiatry, (LB, GC, VH), University of Connecticut School of Medicine, Farmington, Connecticut
| | - Samuel Kuperman
- Department of Psychiatry, (S Kuperman), University of Iowa Carver College of Medicine, Iowa City, Iowa
| | - Vivia V McCutcheon
- Department of Psychiatry, (AA, VVM, KKB), Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Kathleen K Bucholz
- Department of Psychiatry, (AA, VVM, KKB), Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Marc Schuckit
- Department of Psychiatry, (MS), University of California San Diego, La Jolla, California
| | - Bernice Porjesz
- From the, Department of Psychiatry and Behavioral Sciences, (GP, JLM, DBC, AKP, CK, ME, DP, S Kinreich, SS-SV, BP), Downstate Medical Center, State University of New York, Brooklyn, New York
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Sharma E, Jacob P, Murthy P, Jain S, Varghese M, Jayarajan D, Kumar K, Benegal V, Vaidya N, Zhang Y, Desrivieres S, Schumann G, Iyengar U, Holla B, Purushottam M, Chakrabarti A, Fernandes GS, Heron J, Hickman M, Kartik K, Kalyanram K, Rangaswamy M, Bharath RD, Barker G, Orfanos DP, Ahuja C, Thennarasu K, Basu D, Subodh BN, Kuriyan R, Kurpad SS, Kumaran K, Krishnaveni G, Krishna M, Singh RL, Singh LR, Toledano M. Consortium on Vulnerability to Externalizing Disorders and Addictions (cVEDA): A developmental cohort study protocol. BMC Psychiatry 2020; 20:2. [PMID: 31898525 PMCID: PMC6941284 DOI: 10.1186/s12888-019-2373-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 11/26/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Low and middle-income countries like India with a large youth population experience a different environment from that of high-income countries. The Consortium on Vulnerability to Externalizing Disorders and Addictions (cVEDA), based in India, aims to examine environmental influences on genomic variations, neurodevelopmental trajectories and vulnerability to psychopathology, with a focus on externalizing disorders. METHODS cVEDA is a longitudinal cohort study, with planned missingness design for yearly follow-up. Participants have been recruited from multi-site tertiary care mental health settings, local communities, schools and colleges. 10,000 individuals between 6 and 23 years of age, of all genders, representing five geographically, ethnically, and socio-culturally distinct regions in India, and exposures to variations in early life adversity (psychosocial, nutritional, toxic exposures, slum-habitats, socio-political conflicts, urban/rural living, mental illness in the family) have been assessed using age-appropriate instruments to capture socio-demographic information, temperament, environmental exposures, parenting, psychiatric morbidity, and neuropsychological functioning. Blood/saliva and urine samples have been collected for genetic, epigenetic and toxicological (heavy metals, volatile organic compounds) studies. Structural (T1, T2, DTI) and functional (resting state fMRI) MRI brain scans have been performed on approximately 15% of the individuals. All data and biological samples are maintained in a databank and biobank, respectively. DISCUSSION The cVEDA has established the largest neurodevelopmental database in India, comparable to global datasets, with detailed environmental characterization. This should permit identification of environmental and genetic vulnerabilities to psychopathology within a developmental framework. Neuroimaging and neuropsychological data from this study are already yielding insights on brain growth and maturation patterns.
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Affiliation(s)
- Eesha Sharma
- Department of Child and Adolescent Psychiatry, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka India
| | - Preeti Jacob
- Department of Child and Adolescent Psychiatry, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka India
| | - Pratima Murthy
- Department of Psychiatry, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka India
| | - Sanjeev Jain
- Department of Psychiatry, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka India
| | - Mathew Varghese
- Department of Psychiatry, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka India
| | - Deepak Jayarajan
- Department of Psychiatry, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka India
| | - Keshav Kumar
- Department of Child and Adolescent Psychiatry, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka India
| | - Vivek Benegal
- Department of Psychiatry, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka India
| | - Nilakshi Vaidya
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychology, Psychiatry & Neuroscience, MRC SGDP Centre, King’s College London, London, UK
| | - Yuning Zhang
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychology, Psychiatry & Neuroscience, MRC SGDP Centre, King’s College London, London, UK
| | - Sylvane Desrivieres
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychology, Psychiatry & Neuroscience, MRC SGDP Centre, King’s College London, London, UK
| | - Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychology, Psychiatry & Neuroscience, MRC SGDP Centre, King’s College London, London, UK
| | - Udita Iyengar
- Department of Child & Adolescent Psychiatry, Institute of Psychology, Psychiatry & Neuroscience, King’s College London, London, UK
| | - Bharath Holla
- Department of Psychiatry, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka India
| | - Meera Purushottam
- Molecular Genetics Laboratory, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka India
| | - Amit Chakrabarti
- Regional Occupational Health Centre (ROHC), Eastern, ICMR-National Institute of Occupational Health (NIOH), Kolkata, West Bengal India
| | - Gwen Sascha Fernandes
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jon Heron
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Matthew Hickman
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kamakshi Kartik
- Rishi Valley Rural Health Centre, Madanapalle, Chittoor, Andhra Pradesh India
| | - Kartik Kalyanram
- Rishi Valley Rural Health Centre, Madanapalle, Chittoor, Andhra Pradesh India
| | | | - Rose Dawn Bharath
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka India
| | - Gareth Barker
- Department of Neuroimaging, Institute of Psychology, Psychiatry & Neuroscience, King’s College London, London, UK
| | | | - Chirag Ahuja
- Department of Radiodiagnosis and Imaging, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Kandavel Thennarasu
- Department of Biostatistics, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka India
| | - Debashish Basu
- Department of Psychiatry, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - B. N. Subodh
- Department of Psychiatry, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Rebecca Kuriyan
- Division of Nutrition, St John’s Research Institute, Bengaluru, India
| | - Sunita Simon Kurpad
- Department of Psychiatry and Department of Medical Ethics, St. John’s Medical College and Hospital, Bengaluru, India
| | | | - Ghattu Krishnaveni
- Epidemiology Research Unit, CSI Holdsworth Memorial Hospital, Mysore, India
| | - Murali Krishna
- Foundation for Research and Advocacy in Mental Health, Mysore, India
| | - Rajkumar Lenin Singh
- Department of Psychiatry, Regional Institute of Medical Sciences (RIMS), Imphal, Manipur India
| | - L. Roshan Singh
- Department of Clinical Psychology, Regional Institute of Medical Sciences (RIMS), Imphal, Manipur India
| | - Mireille Toledano
- Faculty of Medicine, School of Public Health, Imperial College, London, UK
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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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Hamidovic A, Wang Y. The P300 in alcohol use disorder: A meta-analysis and meta-regression. Prog Neuropsychopharmacol Biol Psychiatry 2019; 95:109716. [PMID: 31369766 DOI: 10.1016/j.pnpbp.2019.109716] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 07/22/2019] [Accepted: 07/23/2019] [Indexed: 12/30/2022]
Abstract
OBJECTIVE The P300 ERP component is a marker of reduced capacity in alcohol use disorder (AUD) to engage attentional mechanisms and update memory representations. No meta-analysis to date has been completed comparing effect size estimates of auditory vs. visual stimuli in AUD. In addition, there is a lack of consensus on whether the P3b in women is reduced, or whether the P3a - an earlier, more frontally distributed component - is reduced in AUD. METHODS Strict inclusion criteria and data-analysis plans were implemented. Eligible studies needed to diagnose AUD using DSM or ICD-10 and exclude patients with any psychiatric co-morbidities. Data analysis was completed using a refined variance estimator of the random effects model. RESULTS Effect size estimates were large for both auditory (Hedges' g = 1.01, p = .056) and visual (Hedges' g = 0.77, p = .040) P300 amplitudes, but only marginally significant for the auditory modality. Auditory P300 latency was significantly increased in AUD patients (Hedges' g = 0.73, p = .027). The moderator analysis did not show significant sex differences for either auditory (p = .97) or visual (p = .45) P3b. Finally, the P3a was not reduced in patients with AUD (Hedges' g = 1.01; p = .59). CONCLUSION This meta-analysis clarifies important questions related to P300 in AUD. By resolving inconsistencies, it is hoped that this information will facilitate the design of futurestudies.
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Affiliation(s)
- Ajna Hamidovic
- Department of Pharmacy Practice, College of Pharmacy, University of Illinois at Chicago, Chicago, IL 60608, United States of America.
| | - Yohyoh Wang
- Department of Pharmacy Practice, College of Pharmacy, University of Illinois at Chicago, Chicago, IL 60608, United States of America
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39
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Meyers JL, Chorlian DB, Johnson EC, Pandey AK, Kamarajan C, Salvatore JE, Aliev F, Subbie-Saenz de Viteri S, Zhang J, Chao M, Kapoor M, Hesselbrock V, Kramer J, Kuperman S, Nurnberger J, Tischfield J, Goate A, Foroud T, Dick DM, Edenberg HJ, Agrawal A, Porjesz B. Association of Polygenic Liability for Alcohol Dependence and EEG Connectivity in Adolescence and Young Adulthood. Brain Sci 2019; 9:E280. [PMID: 31627376 PMCID: PMC6826735 DOI: 10.3390/brainsci9100280] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 09/27/2019] [Accepted: 10/04/2019] [Indexed: 12/13/2022] Open
Abstract
Differences in the connectivity of large-scale functional brain networks among individuals with alcohol use disorders (AUD), as well as those at risk for AUD, point to dysfunctional neural communication and related cognitive impairments. In this study, we examined how polygenic risk scores (PRS), derived from a recent GWAS of DSM-IV Alcohol Dependence (AD) conducted by the Psychiatric Genomics Consortium, relate to longitudinal measures of interhemispheric and intrahemispheric EEG connectivity (alpha, theta, and beta frequencies) in adolescent and young adult offspring from the Collaborative Study on the Genetics of Alcoholism (COGA) assessed between ages 12 and 31. Our findings indicate that AD PRS (p-threshold < 0.001) was associated with increased fronto-central, tempo-parietal, centro-parietal, and parietal-occipital interhemispheric theta and alpha connectivity in males only from ages 18-31 (beta coefficients ranged from 0.02-0.06, p-values ranged from 10-6-10-12), but not in females. Individuals with higher AD PRS also demonstrated more performance deficits on neuropsychological tasks (Tower of London task, visual span test) as well as increased risk for lifetime DSM-5 alcohol and opioid use disorders. We conclude that measures of neural connectivity, together with neurocognitive performance and substance use behavior, can be used to further understanding of how genetic risk variants from large GWAS of AUD may influence brain function. In addition, these data indicate the importance of examining sex and developmental effects, which otherwise may be masked. Understanding of neural mechanisms linking genetic variants emerging from GWAS to risk for AUD throughout development may help to identify specific points when neurocognitive prevention and intervention efforts may be most effective.
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Affiliation(s)
- Jacquelyn L Meyers
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, NY 11203, USA.
| | - David B Chorlian
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, NY 11203, USA.
| | - Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA.
| | - Ashwini K Pandey
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, NY 11203, USA.
| | - Chella Kamarajan
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, NY 11203, USA.
| | - Jessica E Salvatore
- Department of Psychology, Virginia Commonwealth University, Richmond, VA 23284, USA.
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA 23284, USA.
| | - Fazil Aliev
- Department of Psychology, Virginia Commonwealth University, Richmond, VA 23284, USA.
| | | | - Jian Zhang
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, NY 11203, USA.
| | - Michael Chao
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Manav Kapoor
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT 06030, USA.
| | - John Kramer
- Department of Psychiatry, Roy J and Lucille A Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA.
| | - Samuel Kuperman
- Department of Psychiatry, Roy J and Lucille A Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA.
| | - John Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
| | - Jay Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, Newark, NJ 08901, USA.
| | - Alison Goate
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
| | - Danielle M Dick
- Department of Psychology, Virginia Commonwealth University, Richmond, VA 23284, USA.
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA.
| | - Bernice Porjesz
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, NY 11203, USA.
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Creupelandt C, D'Hondt F, Maurage P. Towards a Dynamic Exploration of Vision, Cognition and Emotion in Alcohol-Use Disorders. Curr Neuropharmacol 2019; 17:492-506. [PMID: 30152285 PMCID: PMC6712295 DOI: 10.2174/1570159x16666180828100441] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Revised: 07/30/2018] [Accepted: 08/17/2018] [Indexed: 11/23/2022] Open
Abstract
Abstract: Visuoperceptive impairments are among the most frequently reported deficits in alcohol-use disorders, but only very few studies have investigated their origin and interactions with other categories of dysfunctions. Besides, these deficits have generally been interpreted in a linear bottom-up perspective, which appears very restrictive with respect to the new models of vision developed in healthy populations. Indeed, new theories highlight the predictive nature of the visual system and demonstrate that it interacts with higher-level cognitive functions to generate top-down predictions. These models nota-bly posit that a fast but coarse visual analysis involving magnocellular pathways helps to compute heuristic guesses regard-ing the identity and affective value of inputs, which are used to facilitate conscious visual recognition. Building on these new proposals, the present review stresses the need to reconsider visual deficits in alcohol-use disorders as they might have cru-cial significance for core features of the pathology, such as attentional bias, loss of inhibitory control and emotion decoding impairments. Centrally, we suggest that individuals with severe alcohol-use disorders could present with magnocellular dam-age and we defend a dynamic explanation of the deficits. Rather than being restricted to high-level processes, deficits could start at early visual stages and then extend and potentially intensify during following steps due to reduced cerebral connec-tivity and dysfunctional cognitive/emotional regions. A new research agenda is specifically provided to test these hypotheses.
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Affiliation(s)
- Coralie Creupelandt
- Laboratory for Experimental Psychopathology, Psychological Science Research Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium.,SCALab-Sciences Cognitives et Sciences Affectives, CNRS, UMR 9193, Université de Lille, Lille, France
| | - Fabien D'Hondt
- SCALab-Sciences Cognitives et Sciences Affectives, CNRS, UMR 9193, Université de Lille, Lille, France.,CHU Lille, Clinique de Psychiatrie, CURE, Lille, France
| | - Pierre Maurage
- Laboratory for Experimental Psychopathology, Psychological Science Research Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium
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Harper J, Malone SM, Iacono WG. Target-related parietal P3 and medial frontal theta index the genetic risk for problematic substance use. Psychophysiology 2019; 56:e13383. [PMID: 31012496 PMCID: PMC6697141 DOI: 10.1111/psyp.13383] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 04/05/2019] [Accepted: 04/05/2019] [Indexed: 12/22/2022]
Abstract
Theoretical and empirical work suggests that problematic substance use (PSU) is associated with individual differences in prefrontal cortex activity. While research has strongly linked parietal P3 amplitude reduction (P3AR) to genetic risk for problematic substance use, few studies have tested whether prefrontal EEG measures are sensitive to this genetic liability. In addition to P3, oddball target detection tasks elicit medial frontal theta power, reflecting attentional allocation, and parietal delta, indexing decision making or stimulus-response link updating. Midfrontal theta and parietal delta may index neurocognitive processes relevant to PSU beyond P3AR. The present investigation examined the etiological relationship between PSU and P3, frontal theta, and parietal delta in a large twin sample (N = 754). EEG was recorded during a visual oddball task. Greater PSU was associated with reduced target P3 amplitude and midfrontal theta/parietal delta power, and increased mean reaction time and reaction time variability (RTV; indexing attentional fluctuations). P3, theta, and RTV, but not delta or mean RT, explained unique variance in PSU (R2 = 0.04). Twin biometric modeling indicated a genetic relationship between PSU and P3, theta, and RTV. Theta accounted for distinct genetic variance in PSU beyond P3 and RTV. Together, 23% of the total additive genetic variance in PSU was explained by the three endophenotypes. Results replicate P3AR as an endophenotype and provide support for additional behavioral (RTV) and neurophysiological (midfrontal theta) endophenotypes of PSU. Reduced theta and greater RTV may reflect variations in a prefrontal attentional network that confers genetic risk for substance use problems.
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Affiliation(s)
- Jeremy Harper
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota
| | - Stephen M Malone
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota
| | - William G Iacono
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota
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Llanos F, Xie Z, Chandrasekaran B. Biometric identification of listener identity from frequency following responses to speech. J Neural Eng 2019; 16:056004. [PMID: 31039552 DOI: 10.1088/1741-2552/ab1e01] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
OBJECTIVE We investigate the biometric specificity of the frequency following response (FFR), an EEG marker of early auditory processing that reflects phase-locked activity from neural ensembles in the auditory cortex and subcortex (Chandrasekaran and Kraus 2010, Bidelman, 2015a, 2018, Coffey et al 2017b). Our objective is two-fold: demonstrate that the FFR contains information beyond stimulus properties and broad group-level markers, and to assess the practical viability of the FFR as a biometric across different sounds, auditory experiences, and recording days. APPROACH We trained the hidden Markov model (HMM) to decode listener identity from FFR spectro-temporal patterns across multiple frequency bands. Our dataset included FFRs from twenty native speakers of English or Mandarin Chinese (10 per group) listening to Mandarin Chinese tones across three EEG sessions separated by days. We decoded subject identity within the same auditory context (same tone and session) and across different stimuli and recording sessions. MAIN RESULTS The HMM decoded listeners for averaging sizes as small as one single FFR. However, model performance improved for larger averaging sizes (e.g. 25 FFRs), similarity in auditory context (same tone and day), and lack of familiarity with the sounds (i.e. native English relative to native Chinese listeners). Our results also revealed important biometric contributions from frequency bands in the cortical and subcortical EEG. SIGNIFICANCE Our study provides the first deep and systematic biometric characterization of the FFR and provides the basis for biometric identification systems incorporating this neural signal.
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Affiliation(s)
- Fernando Llanos
- Department of Communication Sciences and Disorders, University of Pittsburgh, Pittsburgh, PA 15213, United States of America
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43
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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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44
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Hetzler BE, McLester-Davis LWY, Tenpas SE. Methylphenidate and alcohol effects on flash-evoked potentials, body temperature, and behavior in Long-Evans rats. Alcohol 2019; 77:79-89. [PMID: 30394288 DOI: 10.1016/j.alcohol.2018.10.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Revised: 09/30/2018] [Accepted: 10/23/2018] [Indexed: 11/28/2022]
Abstract
Methylphenidate (MPD) is a psychostimulant used to treat attention deficit hyperactivity disorder (ADHD). Most adult ADHD patients use ethanol in combination with MPD. This research examined the effects of MPD and ethanol on flash-evoked potentials (FEPs; cortical responses frequently used to assess neural activity and sensory processing) recorded from the visual cortex (VC) and superior colliculus (SC; a structure involved in attention and orientation) of chronically implanted male Long-Evans rats, and on body temperature and open field behavior. For one group of rats, either saline or ethanol (2.0 g/kg) was given 5 min prior to either saline or MPD (2.9 mg/kg). FEPs were recorded 10 and 20 min later. In the VC, ethanol decreased amplitudes of several components, but increased P2. MPD increased N3, but decreased P3 and P4. Ethanol increased the latency of several components. In the SC, ethanol decreased all three components, while MPD increased P3. Ethanol increased latency of all components. During FEP testing, ethanol decreased body movement while MPD increased movement. In the open field, line crossings were increased but rearings were decreased by ethanol. Both ethanol and MPD produced hypothermia. A second group of rats was given MPD at 11.6 mg/kg. Ethanol decreased several VC amplitudes, but increased P2. MPD increased N3 amplitude but decreased amplitude for other components. MPD also counteracted the effect of ethanol on the amplitude of P2 and N3. Both ethanol and MPD increased the latency of several components. In the SC, ethanol decreased all component amplitudes, while MPD increased P3 but decreased N4. Ethanol increased all component latencies, while MPD increased latency for two components. During FEP testing, ethanol decreased body movement while MPD increased movement. In the open field, line crossings were increased by ethanol and MPD. Rearings were eliminated by ethanol in the open field but increased by MPD, and MPD counteracted the effect of ethanol on rearings. Both ethanol and MPD produced hypothermia. Some of these results might help explain why users take MPD and ethanol in combination in order to enable consuming larger amounts of alcohol.
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Affiliation(s)
- Bruce E Hetzler
- Department of Psychology, Lawrence University, 711 E. Boldt Way, Appleton, WI, 54911, United States.
| | | | - Sadie E Tenpas
- Department of Psychology, Lawrence University, 711 E. Boldt Way, Appleton, WI, 54911, United States
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45
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Altered oscillatory brain dynamics of emotional processing in young binge drinkers. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2019; 18:43-57. [PMID: 29127656 DOI: 10.3758/s13415-017-0551-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Heavy episodic drinking, also termed binge drinking, is commonly practiced by young adults. It is accompanied by a range of cognitive, affective, and social problems, but the neural dynamics underlying changes in emotional functions is poorly understood. To investigate the behavioral and brain indices of affective processing as a function of binge drinking, young, healthy participants (23.3 ± 3.3 years) were assigned to two groups (n = 32 each) based on their drinking habits. Binge drinking (BD) participants reported drinking heavily with at least five binge episodes in the last 6 months, whereas light drinkers (LD) reported no more than one binge episode in the last 6 months. Participants provided subjective ratings of emotionally evocative images with negative, positive, erotic, and neutral themes mostly selected from the International Affective Picture System (IAPS). Electroencephalography (EEG) signal was recorded with a 64-channel system and analyzed in theta frequency band (4-7 Hz) with Morlet wavelets. Subjective ratings of the IAPS pictures were equivalent across both groups. However, affective modulation of event-related theta power both during early appraisal and later integrative processing stages was attenuated in BD, particularly those engaging in high-intensity drinking. These findings suggest that binge drinking is associated with altered neurophysiological indices of affective functions that are reflected in lower theta responsivity to emotions. The blunted long-range cortico-cortical and corticolimbic integration is consistent with compromised affective functions in alcohol use disorder. These findings may have implications for diagnostic and intervention strategies in heavy alcohol users.
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46
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Meda SA, Narayanan B, Chorlian D, Meyers JL, Gelernter J, Hesselbrock V, Bauer L, Calhoun VD, Porjesz B, Pearlson GD. Multivariate Analyses Reveal Biological Components Related to Neuronal Signaling and Immunity Mediating Electroencephalograms Abnormalities in Alcohol-Dependent Individuals from the Collaborative Study on the Genetics of Alcoholism Cohort. Alcohol Clin Exp Res 2019; 43:1462-1477. [PMID: 31009096 DOI: 10.1111/acer.14063] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Revised: 04/08/2019] [Accepted: 04/11/2019] [Indexed: 12/22/2022]
Abstract
BACKGROUND The underlying molecular mechanisms associated with alcohol use disorder (AUD) risk have only been partially revealed using traditional approaches such as univariate genomewide association and linkage-based analyses. We therefore aimed to identify gene clusters related to Electroencephalograms (EEG) neurobiological phenotypes distinctive to individuals with AUD using a multivariate approach. METHODS The current project adopted a bimultivariate data-driven approach, parallel independent component analysis (para-ICA), to derive and explore significant genotype-phenotype associations in a case-control subset of the Collaborative Study on the Genetics of Alcoholism (COGA) dataset. Para-ICA subjects comprised N = 799 self-reported European Americans (367 controls and 432 AUD cases), recruited from COGA, who had undergone resting EEG and genotyping. Both EEG and genomewide single nucleotide polymorphism (SNP) data were preprocessed prior to being subjected to para-ICA in order to derive genotype-phenotype relationships. RESULTS From the data, 4 EEG frequency and 4 SNP components were estimated, with 2 significantly correlated EEG-genetic relationship pairs. The first such pair primarily represented theta activity, negatively correlated with a genetic cluster enriched for (but not limited to) ontologies/disease processes representing cell signaling, neurogenesis, transmembrane drug transportation, alcoholism, and lipid/cholesterol metabolism. The second component pair represented mainly alpha activity, positively correlated with a genetic cluster with ontologies similarly enriched as the first component. Disease-related enrichments for this component revealed heart and autoimmune disorders as top hits. Loading coefficients for both the alpha and theta components were significantly reduced in cases compared to controls. CONCLUSIONS Our data suggest plausible multifactorial genetic components, primarily enriched for neuronal/synaptic signaling/transmission, immunity, and neurogenesis, mediating low-frequency alpha and theta abnormalities in alcohol addiction.
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Affiliation(s)
- Shashwath A Meda
- Olin Neuropsychiatry Research Center, Hartford Hospital/IOL, Hartford, Connecticut
| | - Balaji Narayanan
- Olin Neuropsychiatry Research Center, Hartford Hospital/IOL, Hartford, Connecticut
| | - David Chorlian
- Department of Psychiatry, SUNY Downstate Medical Center, Brooklyn, New York
| | - Jacquelyn L Meyers
- Department of Psychiatry, SUNY Downstate Medical Center, Brooklyn, New York
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | | | - Lance Bauer
- Department of Psychiatry, UConn Health, Farmington, Connecticut
| | | | - Bernice Porjesz
- Department of Psychiatry, SUNY Downstate Medical Center, Brooklyn, New York
| | - Godfrey D Pearlson
- Olin Neuropsychiatry Research Center, Hartford Hospital/IOL, Hartford, Connecticut.,Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
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47
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Correas A, López-Caneda E, Beaton L, Holguín SR, García-Moreno LM, Antón-Toro LF, Cadaveira F, Maestú F, Marinkovic K. Decreased event-related theta power and phase-synchrony in young binge drinkers during target detection: An anatomically-constrained MEG approach. J Psychopharmacol 2019; 33:335-346. [PMID: 30355025 PMCID: PMC6401286 DOI: 10.1177/0269881118805498] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND The prevalence of binge drinking has risen in recent years. It is associated with a range of neurocognitive deficits among adolescents and young emerging adults who are especially vulnerable to alcohol use. Attention is an essential dimension of executive functioning and attentional disturbances may be associated with hazardous drinking. The aim of the study was to examine the oscillatory neural dynamics of attentional control during visual target detection in emerging young adults as a function of binge drinking. METHOD In total, 51 first-year university students (18 ± 0.6 years) were assigned to light drinking ( n = 26), and binge drinking ( n = 25) groups based on their alcohol consumption patterns. A high-density magnetoencephalography signal was combined with structural magnetic resonance imaging in an anatomically constrained magnetoencephalography model to estimate event-related source power in a theta (4-7 Hz) frequency band. Phase-locked co-oscillations were further estimated between the principally activated regions during task performance. RESULTS Overall, the greatest event-related theta power was elicited by targets in the right inferior frontal cortex and it correlated with performance accuracy and selective attention scores. Binge drinkers exhibited lower theta power and dysregulated oscillatory synchrony to targets in the right inferior frontal cortex, which correlated with higher levels of alcohol consumption. CONCLUSIONS These results confirm that a highly interactive network in the right inferior frontal cortex subserves attentional control, revealing the importance of theta oscillations and neural synchrony for attentional capture and contextual maintenance. Attenuation of theta power and synchronous interactions in binge drinkers may indicate early stages of suboptimal integrative processing in young, highly functioning binge drinkers.
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Affiliation(s)
- Angeles Correas
- Department of Psychology, San Diego State University, San Diego, USA
| | - Eduardo López-Caneda
- Neuropsychophysiology Lab, Research Center on Psychology (CIPsi), School of Psychology, University of Minho, Braga, Portugal
| | - Lauren Beaton
- Department of Psychology, San Diego State University, San Diego, USA
| | | | - Luis Miguel García-Moreno
- Department of Psychobiology and Methodology in Behavioral Sciences, Complutense University of Madrid, Madrid, Spain
| | - Luis F. Antón-Toro
- Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Centre of Biomedical Technology (CTB), Madrid, Spain
| | - Fernando Cadaveira
- Department of Clinical Psychology and Psychobiology, University of Santiago de Compostela, Spain
| | - Fernando Maestú
- Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Centre of Biomedical Technology (CTB), Madrid, Spain
- Department of Experimental Psychology, Complutense University of Madrid, Spain
- Network of Center for Biomedical Research (CIBER-bbn), Madrid, Spain
| | - Ksenija Marinkovic
- Department of Psychology, San Diego State University, San Diego, USA
- Department of Radiology, University of California at San Diego, San Diego, USA
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Abstract
BACKGROUND Impulsivity is considered to be a vulnerability marker for substance use disorders, including alcoholism, in offspring with familial alcoholism. However, it is not adequately explored whether different age groups offspring at high risk for alcoholism differ in their impulsivity. The present study examined trait impulsivity in offspring at high risk for alcoholism, and further examined impulsivity by categorizing these offspring into different age groups. The study also examined the association between impulsivity and age, and the association of executive functions with age and education. MATERIALS AND METHODS Sample consisted of alcohol-naïve offspring at high (n = 34) and low (n = 34) risk for alcoholism. Participants were matched on age (±1 year), education (±1 year), and gender. The measures included were: Mini-international neuropsychiatric interview, family interview for genetic studies, sociodemographic data sheet, Annett's handedness questionnaire, Barratt's Impulsiveness Scale-version 11, and tests assessing executive functions. RESULTS Offspring at high risk for alcoholism demonstrated significantly high impulsivity. Furthermore, offspring at high risk were categorized into three subgroups with age. Results showed no significant difference between the subgroups with respect to impulsivity. Correlation analysis revealed no significant association between impulsivity and age. However, executive functions (concept formation, working memory, and safe decision-making) showed significant positive association, while perseveration and risky decision-making showed a negative association with age and education in both the groups. CONCLUSION The present study demonstrates high impulsivity trait in offspring at high risk for alcoholism. The high impulsivity could pose a risk for addiction and may require preventive intervention.
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Affiliation(s)
- Rajesh Kumar
- Department of Clinical Psychology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Keshav J Kumar
- Department of Clinical Psychology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Vivek Benegal
- Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
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Systematic comparison between a wireless EEG system with dry electrodes and a wired EEG system with wet electrodes. Neuroimage 2018; 184:119-129. [PMID: 30218769 DOI: 10.1016/j.neuroimage.2018.09.012] [Citation(s) in RCA: 71] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Revised: 08/30/2018] [Accepted: 09/05/2018] [Indexed: 11/20/2022] Open
Abstract
Recent advances in dry electrodes technology have facilitated the recording of EEG in situations not previously possible, thanks to the relatively swift electrode preparation and avoidance of applying gel to subject's hair. However, to become a true alternative, these systems should be compared to state-of-the-art wet EEG systems commonly used in clinical or research applications. In our study, we conducted a systematic comparison of electrodes application speed, subject comfort, and most critically electrophysiological signal quality between the conventional and wired Biosemi EEG system using wet active electrodes and the compact and wireless F1 EEG system consisting of dry passive electrodes. All subjects (n = 27) participated in two recording sessions on separate days, one with the wet EEG system and one with the dry EEG system, in which the session order was counterbalanced across subjects. In each session, we recorded their EEG during separate rest periods with eyes open and closed followed by two versions of a serial visual presentation target detection task. Each task component allows for a neural measure reflecting different characteristics of the data, including spectral power in canonical low frequency bands, event-related potential components (specifically, the P3b), and single trial classification based on machine learning. The performance across the two systems was similar in most measures, including the P3b amplitude and topography, as well as low frequency (theta, alpha, and beta) spectral power at rest. Both EEG systems performed well above chance in the classification analysis, with a marginal advantage of the wet system over the dry. Critically, all aforementioned electrophysiological metrics showed significant positive correlations (r = 0.54-0.89) between the two EEG systems. This multitude of measures provides a comprehensive comparison that captures different aspects of EEG data, including temporal precision, frequency domain as well as multivariate patterns of activity. Taken together, our results indicate that the dry EEG system used in this experiment can effectively record electrophysiological measures commonly used across the research and clinical contexts with comparable quality to the conventional wet EEG system.
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50
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Taboada-Crispi A, Bringas-Vega ML, Bosch-Bayard J, Galán-García L, Bryce C, Rabinowitz AG, Prichep LS, Isenhart R, Calzada-Reyes A, VIrues-Alba T, Guo Y, Galler JR, Valdés-Sosa PA. Quantitative EEG Tomography of Early Childhood Malnutrition. Front Neurosci 2018; 12:595. [PMID: 30233291 PMCID: PMC6127649 DOI: 10.3389/fnins.2018.00595] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 08/07/2018] [Indexed: 11/19/2022] Open
Abstract
The goal of this study is to identify the quantitative electroencephalographic (qEEG) signature of early childhood malnutrition [protein-energy malnutrition (PEM)]. To this end, archival digital EEG recordings of 108 participants in the Barbados Nutrition Study (BNS) were recovered and cleaned of artifacts (46 children who suffered an episode of PEM limited to the first year of life) and 62 healthy controls). The participants of the still ongoing BNS were initially enrolled in 1973, and EEGs for both groups were recorded in 1977-1978 (at 5-11 years). Scalp and source EEG Z-spectra (to correct for age effects) were obtained by comparison with the normative Cuban Human Brain Mapping database. Differences between both groups in the z spectra (for all electrode locations and frequency bins) were assessed by t-tests with thresholds corrected for multiple comparisons by permutation tests. Four clusters of differences were found: (a) increased theta activity (3.91-5.86 Hz) in electrodes T4, O2, Pz and in the sources of the supplementary motor area (SMA); b) decreased alpha1 (8.59-8.98 Hz) in Fronto-central electrodes and sources of widespread bilateral prefrontal are; (c) increased alpha2 (11.33-12.50 Hz) in Temporo-parietal electrodes as well as in sources in Central-parietal areas of the right hemisphere; and (d) increased beta (13.67-18.36 Hz), in T4, T5 and P4 electrodes and decreased in the sources of bilateral occipital-temporal areas. Multivariate Item Response Theory of EEGs scored visually by experts revealed a neurophysiological latent variable which indicated excessive paroxysmal and focal abnormality activity in the PEM group. A robust biomarker construction procedure based on elastic-net regressions and 1000-cross-validations was used to: (i) select stable variables and (ii) calculate the area under ROC curves (AUC). Thus, qEEG differentiate between the two nutrition groups (PEM vs Control) performing as well as visual inspection of the EEG scored by experts (AUC = 0.83). Since PEM is a global public health problem with lifelong neurodevelopmental consequences, our finding of consistent differences between PEM and controls, both in qualitative and quantitative EEG analysis, suggest that this technology may be a source of scalable and affordable biomarkers for assessing the long-term brain impact of early PEM.
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Affiliation(s)
- Alberto Taboada-Crispi
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
- Informatics Research Center, Universidad Central Marta Abreu de las Villas, Santa Clara, Cuba
| | - Maria L. Bringas-Vega
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
- Cuban Neuroscience Center, Havana, Cuba
| | - Jorge Bosch-Bayard
- Institute for Neurobiology, Universidad Nacional Autonoma de Mexico, Juriquilla, Mexico
| | | | | | | | - Leslie S. Prichep
- Department of Psychiatry, School of Medicine, New York University, New York, NY, United States
| | - Robert Isenhart
- Newport Brain Research Laboratory, Newport Beach, CA, United States
| | | | | | - Yanbo Guo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Janina R. Galler
- Barbados Nutrition Study, Bridgetown, Barbados
- Chester M. Pierce MD Division of Global Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Center on the Developing Child, Harvard University, Cambridge, MA, United States
| | - Pedro A. Valdés-Sosa
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
- Cuban Neuroscience Center, Havana, Cuba
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