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Nippert KE, Rowland CP, Vazey EM, Moorman DE. Alcohol, flexible behavior, and the prefrontal cortex: Functional changes underlying impaired cognitive flexibility. Neuropharmacology 2024; 260:110114. [PMID: 39134298 DOI: 10.1016/j.neuropharm.2024.110114] [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: 02/15/2024] [Revised: 08/08/2024] [Accepted: 08/09/2024] [Indexed: 08/22/2024]
Abstract
Cognitive flexibility enables individuals to alter their behavior in response to changing environmental demands, facilitating optimal behavior in a dynamic world. The inability to do this, called behavioral inflexibility, is a pervasive behavioral phenotype in alcohol use disorder (AUD), driven by disruptions in cognitive flexibility. Research has repeatedly shown that behavioral inflexibility not only results from alcohol exposure across species but can itself be predictive of future drinking. Like many high-level executive functions, flexible behavior requires healthy functioning of the prefrontal cortex (PFC). The scope of this review addresses two primary themes: first, we outline tasks that have been used to investigate flexibility in the context of AUD or AUD models. We characterize these based on the task features and underlying cognitive processes that differentiate them from one another. We highlight the neural basis of flexibility measures, focusing on the PFC, and how acute or chronic alcohol in humans and non-human animal models impacts flexibility. Second, we consolidate findings on the molecular, physiological and functional changes in the PFC elicited by alcohol, that may contribute to cognitive flexibility deficits seen in AUD. Collectively, this approach identifies several key avenues for future research that will facilitate effective treatments to promote flexible behavior in the context of AUD, to reduce the risk of alcohol related harm, and to improve outcomes following AUD.
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Affiliation(s)
- Kathryn E Nippert
- Neuroscience and Behavior Graduate Program, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Courtney P Rowland
- Department of Biology, University of Massachusetts Amherst, Amherst, MA, 01003, USA
| | - Elena M Vazey
- Neuroscience and Behavior Graduate Program, University of Massachusetts Amherst, Amherst, MA, 01003, USA; Department of Biology, University of Massachusetts Amherst, Amherst, MA, 01003, USA.
| | - David E Moorman
- Neuroscience and Behavior Graduate Program, University of Massachusetts Amherst, Amherst, MA, 01003, USA; Department of Psychological and Brain Sciences, University of Massachusetts, Amherst, MA, 01003, USA.
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Patel RR, Gandhi P, Spencer K, Salem NA, Erikson CM, Borgonetti V, Vlkolinsky R, Rodriguez L, Nadav T, Bajo M, Roberts AJ, Dayne Mayfield R, Roberto M. Functional and morphological adaptation of medial prefrontal corticotropin releasing factor receptor 1-expressing neurons in male mice following chronic ethanol exposure. Neurobiol Stress 2024; 31:100657. [PMID: 38983690 PMCID: PMC11231756 DOI: 10.1016/j.ynstr.2024.100657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 06/13/2024] [Accepted: 06/15/2024] [Indexed: 07/11/2024] Open
Abstract
Chronic ethanol dependence and withdrawal activate corticotropin releasing factor (CRF)-containing GABAergic neurons in the medial prefrontal cortex (mPFC), which tightly regulate glutamatergic pyramidal neurons. Using male CRF1:GFP reporter mice, we recently reported that CRF1-expressing (mPFCCRF1+) neurons predominantly comprise mPFC prelimbic layer 2/3 pyramidal neurons, undergo profound adaptations following chronic ethanol exposure, and regulate anxiety and conditioned rewarding effects of ethanol. To explore the effects of acute and chronic ethanol exposure on glutamate transmission, the impact of chronic alcohol on spine density and morphology, as well as persistent changes in dendritic-related gene expression, we employed whole-cell patch-clamp electrophysiology, diOlistic labeling for dendritic spine analysis, and dendritic gene expression analysis to further characterize mPFCCRF1+ and mPFCCRF1- prelimbic layer 2/3 pyramidal neurons. We found increased glutamate release in mPFCCRF1+ neurons with ethanol dependence, which recovered following withdrawal. In contrast, we did not observe significant changes in glutamate transmission in neighboring mPFCCRF1- neurons. Acute application of 44 mM ethanol significantly reduced glutamate release onto mPFCCRF1+ neurons, which was observed across all treatment groups. However, this sensitivity to acute ethanol was only evident in mPFCCRF1- neurons during withdrawal. In line with alterations in glutamate transmission, we observed a decrease in total spine density in mPFCCRF1+ neurons during dependence, which recovered following withdrawal, while again no changes were observed in mPFCCRF- neurons. Given the observed decreases in mPFCCRF1+ stubby spines during withdrawal, we then identified persistent changes at the dendritic gene expression level in mPFCCRF1+ neurons following withdrawal that may underlie these structural adaptations. Together, these findings highlight the varying responses of mPFCCRF1+ and mPFCCRF1- cell-types to acute and chronic ethanol exposure, as well as withdrawal, revealing specific functional, morphological, and molecular adaptations that may underlie vulnerability to ethanol and the lasting effects of ethanol dependence.
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Affiliation(s)
- Reesha R Patel
- Department of Molecular Medicine, The Scripps Research Institute, 10550 N. Torrey Pines Rd, La Jolla, CA, 92037, USA
| | - Pauravi Gandhi
- Department of Molecular Medicine, The Scripps Research Institute, 10550 N. Torrey Pines Rd, La Jolla, CA, 92037, USA
| | - Kathryn Spencer
- Core Microscopy Facility, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA, 92037, USA
| | - Nihal A Salem
- Department of Neuroscience, The University of Texas at Austin, Austin, TX, 78712, USA
- Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Chloe M Erikson
- Department of Molecular Medicine, The Scripps Research Institute, 10550 N. Torrey Pines Rd, La Jolla, CA, 92037, USA
| | - Vittoria Borgonetti
- Department of Molecular Medicine, The Scripps Research Institute, 10550 N. Torrey Pines Rd, La Jolla, CA, 92037, USA
| | - Roman Vlkolinsky
- Department of Molecular Medicine, The Scripps Research Institute, 10550 N. Torrey Pines Rd, La Jolla, CA, 92037, USA
| | - Larry Rodriguez
- Department of Molecular Medicine, The Scripps Research Institute, 10550 N. Torrey Pines Rd, La Jolla, CA, 92037, USA
| | - Tali Nadav
- Animal Models Core Facility, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA, 92037, USA
| | - Michal Bajo
- Department of Molecular Medicine, The Scripps Research Institute, 10550 N. Torrey Pines Rd, La Jolla, CA, 92037, USA
| | - Amanda J Roberts
- Animal Models Core Facility, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA, 92037, USA
| | - R Dayne Mayfield
- Department of Neuroscience, The University of Texas at Austin, Austin, TX, 78712, USA
- Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Marisa Roberto
- Department of Molecular Medicine, The Scripps Research Institute, 10550 N. Torrey Pines Rd, La Jolla, CA, 92037, USA
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Pfefferbaum A, Zhao Q, Pohl KM, Sassoon SA, Zahr NM, Sullivan EV. Age-Accelerated Increase of White Matter Hyperintensity Volumes Is Exacerbated by Heavy Alcohol Use in People Living With HIV. Biol Psychiatry 2024; 95:231-244. [PMID: 37597798 PMCID: PMC10840832 DOI: 10.1016/j.biopsych.2023.07.023] [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] [Received: 04/04/2023] [Revised: 07/13/2023] [Accepted: 07/30/2023] [Indexed: 08/21/2023]
Abstract
BACKGROUND Antiretroviral treatment has enabled people living with HIV infection to have a near-normal life span. With longevity comes opportunities for engaging in risky behavior, including initiation of excessive drinking. Given that both HIV infection and alcohol use disorder (AUD) can disrupt brain white matter integrity, we questioned whether HIV infection, even if successfully treated, or AUD alone results in signs of accelerated white matter aging and whether HIV+AUD comorbidity further accelerates brain aging. METHODS Longitudinal magnetic resonance imaging-FLAIR data were acquired over a 15-year period from 179 control individuals, 204 participants with AUD, 70 participants with HIV, and 75 participants with comorbid HIV+AUD. White matter hyperintensity (WMH) volumes were quantified and localized, and their functional relevance was examined with cognitive and motor testing. RESULTS The 3 diagnostic groups each had larger WMH volumes than the control group. Although all 4 groups exhibited accelerating volume increases with aging, only the HIV groups showed faster WMH enlargement than control individuals; the comorbid group showed faster acceleration than the HIV-only group. Sex and HIV infection length, but not viral suppression status, moderated acceleration. Correlations emerged between WMH volumes and attention/working memory and executive function scores of the AUD and HIV groups and between WMH volumes and motor skills in the 3 diagnostic groups. CONCLUSIONS Even treated HIV can show accelerated aging, possibly from treatment sequelae or legacy effects, and notably from AUD comorbidity. WMH volumes may be especially relevant for tracking HIV and AUD brain health because each condition is associated with liability for hypertensive processes, for which WMHs are considered a marker.
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Affiliation(s)
- Adolf Pfefferbaum
- Center for Health Sciences, SRI International, Menlo Park, California; Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Qingyu Zhao
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Kilian M Pohl
- Center for Health Sciences, SRI International, Menlo Park, California; Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | | | - Natalie M Zahr
- Center for Health Sciences, SRI International, Menlo Park, California; Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Edith V Sullivan
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California.
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4
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Matsumoto J, Fukunaga M, Miura K, Nemoto K, Okada N, Hashimoto N, Morita K, Koshiyama D, Ohi K, Takahashi T, Koeda M, Yamamori H, Fujimoto M, Yasuda Y, Ito S, Yamazaki R, Hasegawa N, Narita H, Yokoyama S, Mishima R, Miyata J, Kobayashi Y, Sasabayashi D, Harada K, Yamamoto M, Hirano Y, Itahashi T, Nakataki M, Hashimoto RI, Tha KK, Koike S, Matsubara T, Okada G, Yoshimura R, Abe O, van Erp TGM, Turner JA, Jahanshad N, Thompson PM, Onitsuka T, Watanabe Y, Matsuo K, Yamasue H, Okamoto Y, Suzuki M, Ozaki N, Kasai K, Hashimoto R. Cerebral cortical structural alteration patterns across four major psychiatric disorders in 5549 individuals. Mol Psychiatry 2023; 28:4915-4923. [PMID: 37596354 PMCID: PMC10914601 DOI: 10.1038/s41380-023-02224-7] [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] [Received: 12/12/2022] [Revised: 07/30/2023] [Accepted: 08/07/2023] [Indexed: 08/20/2023]
Abstract
According to the operational diagnostic criteria, psychiatric disorders such as schizophrenia (SZ), bipolar disorder (BD), major depressive disorder (MDD), and autism spectrum disorder (ASD) are classified based on symptoms. While its cluster of symptoms defines each of these psychiatric disorders, there is also an overlap in symptoms between the disorders. We hypothesized that there are also similarities and differences in cortical structural neuroimaging features among these psychiatric disorders. T1-weighted magnetic resonance imaging scans were performed for 5,549 subjects recruited from 14 sites. Effect sizes were determined using a linear regression model within each protocol, and these effect sizes were meta-analyzed. The similarity of the differences in cortical thickness and surface area of each disorder group was calculated using cosine similarity, which was calculated from the effect sizes of each cortical regions. The thinnest cortex was found in SZ, followed by BD and MDD. The cosine similarity values between disorders were 0.943 for SZ and BD, 0.959 for SZ and MDD, and 0.943 for BD and MDD, which indicated that a common pattern of cortical thickness alterations was found among SZ, BD, and MDD. Additionally, a generally smaller cortical surface area was found in SZ and MDD than in BD, and the effect was larger in SZ. The cosine similarity values between disorders were 0.945 for SZ and MDD, 0.867 for SZ and ASD, and 0.811 for MDD and ASD, which indicated a common pattern of cortical surface area alterations among SZ, MDD, and ASD. Patterns of alterations in cortical thickness and surface area were revealed in the four major psychiatric disorders. To our knowledge, this is the first report of a cross-disorder analysis conducted on four major psychiatric disorders. Cross-disorder brain imaging research can help to advance our understanding of the pathogenesis of psychiatric disorders and common symptoms.
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Affiliation(s)
- Junya Matsumoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, 187-8553, Japan
| | - Masaki Fukunaga
- Section of Brain Function Information, National Institute for Physiological Sciences, Okazaki, 444-8585, Japan
| | - Kenichiro Miura
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, 187-8553, Japan
| | - Kiyotaka Nemoto
- Department of Psychiatry, Institute of Medicine, University of Tsukuba, Tsukuba, 305-8575, Japan
| | - Naohiro Okada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- The International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), Tokyo, 113-0033, Japan
| | - Naoki Hashimoto
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Sapporo, 060-8638, Japan
| | - Kentaro Morita
- Department of Rehabilitation, University of Tokyo Hospital, Tokyo, 113-8655, Japan
| | - Daisuke Koshiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Kazutaka Ohi
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, 501-1194, Japan
- Department of General Internal Medicine, Kanazawa Medical University, Ishikawa, 920-0293, Japan
| | - Tsutomu Takahashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, 930-0194, Japan
- Research Center for Idling Brain Science, University of Toyama, Toyama, 930-0194, Japan
| | - Michihiko Koeda
- Department of Neuropsychiatry, Graduate School of Medicine, Nippon Medical School, Tokyo, 113-8602, Japan
| | - Hidenaga Yamamori
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, 187-8553, Japan
- Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan
- Japan Community Health Care Organization Osaka Hospital, Osaka, 553-0003, Japan
| | - Michiko Fujimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, 187-8553, Japan
- Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan
| | - Yuka Yasuda
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, 187-8553, Japan
- Life Grow Brilliant Mental Clinic, Medical Corporation Foster, Osaka, 530-0013, Japan
| | - Satsuki Ito
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, 187-8553, Japan
- Department of Developmental and Clinical Psychology, The Division of Human Developmental Sciences, Graduate School of Humanity and Sciences, Ochanomizu University, Tokyo, 112-8610, Japan
| | - Ryuichi Yamazaki
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, 187-8553, Japan
- Department of Psychiatry, The Jikei University School of Medicine, Tokyo, 105-8461, Japan
| | - Naomi Hasegawa
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, 187-8553, Japan
| | - Hisashi Narita
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Sapporo, 060-8638, Japan
| | - Satoshi Yokoyama
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, 734-8551, Japan
| | - Ryo Mishima
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, 606-8507, Japan
| | - Jun Miyata
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, 606-8507, Japan
| | - Yuko Kobayashi
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, 606-8507, Japan
| | - Daiki Sasabayashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, 930-0194, Japan
- Research Center for Idling Brain Science, University of Toyama, Toyama, 930-0194, Japan
| | - Kenichiro Harada
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, 755-8505, Japan
| | - Maeri Yamamoto
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, 466-8550, Japan
| | - Yoji Hirano
- Department of Psychiatry, Division of Clinical Neuroscience, Faculty of Medicine, University of Miyazaki, Miyazaki, 889-1692, Japan
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, 812-8582, Japan
- Institute of Industrial Science, The University of Tokyo, Tokyo, 153-8505, Japan
| | - Takashi Itahashi
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, 157-8577, Japan
| | - Masahito Nakataki
- Department of Psychiatry, Tokushima University Hospital, Tokushima, 770-8503, Japan
| | - Ryu-Ichiro Hashimoto
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, 157-8577, Japan
- Department of Language Sciences, Graduate School of Humanities, Tokyo Metropolitan University, Hachioji, 192-0397, Japan
| | - Khin K Tha
- Global Center for Biomedical Science and Engineering, Hokkaido University Faculty of Medicine, Sapporo, 060-8638, Japan
| | - Shinsuke Koike
- The International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), Tokyo, 113-0033, Japan
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), Tokyo, 153-8902, Japan
- Center for Evolutionary Cognitive Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, 153-8902, Japan
| | - Toshio Matsubara
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, 755-8505, Japan
| | - Go Okada
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, 734-8551, Japan
| | - Reiji Yoshimura
- Department of Psychiatry, University of Occupational and Environmental Health, Kitakyushu, 807-8555, Japan
| | - Osamu Abe
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Theo G M van Erp
- Clinical Translatational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine, CA, 92697, USA
| | - Jessica A Turner
- Department of Psychiatry and Behavioral Health, Wexner Medical Center, the Ohio State University, Columbus, OH, 43210, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90292, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90292, USA
| | - Toshiaki Onitsuka
- National Hospital Organization Sakakibara Hospital, Tsu, 514-1292, Japan
| | - Yoshiyuki Watanabe
- Department of Radiology, Shiga University of Medical Science, Otsu, 520-2192, Japan
| | - Koji Matsuo
- Department of Psychiatry, Faculty of Medicine, Saitama Medical University, Saitama, 350-0495, Japan
| | - Hidenori Yamasue
- Department of Psychiatry, Hamamatsu University School of Medicine, Hamamatsu, 431-3192, Japan
| | - Yasumasa Okamoto
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, 734-8551, Japan
| | - Michio Suzuki
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, 930-0194, Japan
- Research Center for Idling Brain Science, University of Toyama, Toyama, 930-0194, Japan
| | - Norio Ozaki
- Pathophysiology of Mental Disorders, Nagoya University Graduate School of Medicine, Nagoya, 466-8550, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- The International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), Tokyo, 113-0033, Japan
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), Tokyo, 153-8902, Japan
| | - Ryota Hashimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, 187-8553, Japan.
- Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan.
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McGregor R, Matzeu A, Thannickal TC, Wu F, Cornford M, Martin-Fardon R, Siegel JM. Sensitivity of Hypocretin System to Chronic Alcohol Exposure: A Human and Animal Study. Neuroscience 2023; 522:1-10. [PMID: 37121379 PMCID: PMC10681027 DOI: 10.1016/j.neuroscience.2023.04.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 03/31/2023] [Accepted: 04/22/2023] [Indexed: 05/02/2023]
Abstract
Human heroin addicts and mice administered morphine for a 2 week period show a greatly increased number of hypothalamic hypocretin (Hcrt or orexin) producing neurons with a concomitant reduction in Hcrt cell size. Male rats addicted to cocaine similarly show an increased number of detectable Hcrt neurons. These findings led us to hypothesize that humans with alcohol use disorder (AUD) would show similar changes. We now report that humans with AUD have a decreased number and size of detectable Hcrt neurons. In addition, the intermingled melanin concentrating hormone (MCH) neurons are reduced in size. We saw no change in the size and number of tuberomammillary histamine neurons in AUD. Within the Hcrt/MCH neuronal field we found that microglia cell size was increased in AUD brains. In contrast, male rats with 2 week alcohol exposure, sufficient to elicit withdrawal symptoms, show no change in the number or size of Hcrt, MCH and histamine neurons, and no change in the size of microglia. The present study indicates major differences between the response of Hcrt neurons to opioids and that to alcohol in human subjects with a history of substance abuse.
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Affiliation(s)
- Ronald McGregor
- Neuropsychiatric Institute and Brain Research Institute, University of California, Los Angeles, 90095, USA; Neurobiology Research, VA Greater Los Angeles Healthcare System, North Hills, Los Angele, California 91343, USA.
| | - Alessandra Matzeu
- The Scripps Research Institute, Department of Molecular Medicine, 10550 North Torrey Pines Road, SR-107, La Jolla, CA 92037, USA
| | - Thomas C Thannickal
- Neuropsychiatric Institute and Brain Research Institute, University of California, Los Angeles, 90095, USA; Neurobiology Research, VA Greater Los Angeles Healthcare System, North Hills, Los Angele, California 91343, USA
| | - Frank Wu
- Neuropsychiatric Institute and Brain Research Institute, University of California, Los Angeles, 90095, USA; Neurobiology Research, VA Greater Los Angeles Healthcare System, North Hills, Los Angele, California 91343, USA
| | - Marcia Cornford
- Department of Pathology, Harbor University of California, Los Angeles, Medical, Center, Torrance, CA 90509, USA
| | - Rémi Martin-Fardon
- The Scripps Research Institute, Department of Molecular Medicine, 10550 North Torrey Pines Road, SR-107, La Jolla, CA 92037, USA
| | - Jerome M Siegel
- Neuropsychiatric Institute and Brain Research Institute, University of California, Los Angeles, 90095, USA; Neurobiology Research, VA Greater Los Angeles Healthcare System, North Hills, Los Angele, California 91343, USA
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6
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Park SE, Jeon YJ, Baek HM. Functional and Structural Brain Abnormalities and Clinical Characteristics of Male Patients with Alcohol Dependence. Brain Sci 2023; 13:942. [PMID: 37371420 DOI: 10.3390/brainsci13060942] [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: 05/02/2023] [Revised: 06/09/2023] [Accepted: 06/10/2023] [Indexed: 06/29/2023] Open
Abstract
Even though many previous studies have reported structural or functional brain abnormalities in patients with alcohol dependence (ADPs), studies observing the structural and functional abnormalities associated with the clinical characteristics of ADPs utilizing a multimodal approach are still scarce. The aim of this study was to demonstrate structural and functional brain abnormalities and their association with the clinical characteristics of alcoholism in male ADPs. Fifteen healthy male controls (HCs) and 15 male ADPs who had been diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders 5 criteria underwent T1-weighted imaging and resting-state functional magnetic resonance imaging (MRI) scans. The MRI data were postprocessed using statistical parametric mapping for structural analysis and CONN-fMRI functional connectivity (FC) tools for functional analysis. In comparison with male HCs, male ADPs were characterized by significantly reduced volumes of the white matter in the left globus pallidus (GP) (p-FDR < 0.05). This region affected the altered resting-state FC patterns in male ADPs. Interestingly, an abnormal FC in the precuneus and its positive correlation with the alcohol-use disorder identification test score were observed in ADPs (r = 0.546, p = 0.036). Based on the observations, it could be concluded that the GP serves as a neural marker that impacts abnormal functional networks in men with alcohol dependence. These findings have important clinical implications as they provide insights into the neural mechanism underlying the anatomical, functional, and clinical features of alcoholism.
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Affiliation(s)
- Shin-Eui Park
- Lee Gil Ya Cancer & Diabetes Institute, Gachon University, Incheon 21999, Republic of Korea
| | - Yeong-Jae Jeon
- Lee Gil Ya Cancer & Diabetes Institute, Gachon University, Incheon 21999, Republic of Korea
- Department of Health Sciences & Technology, Gachon Advanced Institute for Health Sciences and Technology (GAIHST), Gachon University, Incheon 21999, Republic of Korea
| | - Hyeon-Man Baek
- Department of Health Sciences & Technology, Gachon Advanced Institute for Health Sciences and Technology (GAIHST), Gachon University, Incheon 21999, Republic of Korea
- College of Medicine, Gachon University, Incheon 21565, Republic of Korea
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7
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Sullivan EV, Pfefferbaum A. Alcohol use disorder: Neuroimaging evidence for accelerated aging of brain morphology and hypothesized contribution to age-related dementia. Alcohol 2023; 107:44-55. [PMID: 35781021 DOI: 10.1016/j.alcohol.2022.06.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 05/31/2022] [Accepted: 06/09/2022] [Indexed: 12/22/2022]
Abstract
Excessive alcohol use curtails longevity by rendering intoxicated individuals vulnerable to heightened risk from accidents, violence, and alcohol poisoning, and makes chronically heavy drinkers vulnerable to acceleration of age-related medical and psychiatric conditions that can be life threatening (Yoon, Chen, Slater, Jung, & White, 2020). Thus, studies of factors influencing age-alcohol interactions must consider the potential that the alcohol use disorder (AUD) population may not represent the oldest ages of the unaffected population and may well have accrued comorbidities associated with both AUD and aging itself. Herein, we focus on the aging of the brains of men and women with AUD, keeping AUD contextual factors in mind. Knowledge of the potential influence of the AUD-associated co-factors on the condition of brain structure may lead to identifying modifiable risk factors to avert physical declines and may reverse or arrest further AUD-related degradation of the brain. In this narrative review, we 1) describe quantitative, controlled studies of brain macrostructure and microstructure of adults with AUD, 2) consider the possibility of recovery of brain integrity through harm reduction with sustained abstinence or reduced drinking, and 3) speculate on the ramifications of accelerated aging in AUD as contributing to age-related dementia.
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Affiliation(s)
- Edith V Sullivan
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.
| | - Adolf Pfefferbaum
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States; Center for Health Sciences, SRI International, Menlo Park, CA, United States
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8
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Ikuta T, Kessler PB, Swoboda AM, Fisher AK. Arcuate Fasciculus Microstructure Predicts Alcohol Dependence Risk through Higher IQ. Brain Sci 2023; 13:brainsci13010129. [PMID: 36672110 PMCID: PMC9856630 DOI: 10.3390/brainsci13010129] [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: 11/02/2022] [Revised: 12/15/2022] [Accepted: 12/30/2022] [Indexed: 01/13/2023] Open
Abstract
IQ has been found to correlate with alcohol consumption, with a higher IQ being a risk for alcohol misuse. Furthermore, recent research has shown that the microstructure of the arcuate fasciculus is associated with IQ. This study therefore aimed to examine the association between the arcuate fasciculus microstructure, IQ, and alcohol dependence risk. In this study, we performed probabilistic tractography between Wernicke's and Broca's areas in the left and right hemispheres to examine the association of the arcuate fasciculus's integrity with IQ and alcohol dependence risk, using DTI data from 344 individuals. Data regarding IQ were obtained from the Wechsler Abbreviated Scale of Intelligence (WASI-II). Alcohol substance involvement (SI) score was derived using the National Institute on Drug Abuse (NIDA) Quick Screen and was used as an index for alcohol dependence risk. Both the left arcuate fasciculus and IQ were found to have a significant association with alcohol dependence risk. A mediation analysis revealed that this association between the left arcuate fasciculus microstructure and an alcohol dependence risk was mediated by IQ. It is suggested that the left arcuate fasciculus microstructure is associated with IQ which is associated with alcohol dependence risk. While alcohol consumption is known to be robustly toxic to the brain, the left arcuate fasciculus shows exceptional characteristics in which its microstructure integrity is positively associated with an alcohol dependence risk through higher IQ. Clinical implications are discussed.
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Affiliation(s)
- Toshikazu Ikuta
- Department of Communication Sciences and Disorders, University of Mississippi, Oxford, MS 38677, USA
- Correspondence:
| | - Paige B. Kessler
- Department of Communication Sciences and Disorders, University of Mississippi, Oxford, MS 38677, USA
| | - Alexandria M. Swoboda
- Department of Communication Sciences and Disorders, University of Mississippi, Oxford, MS 38677, USA
| | - Amy K. Fisher
- Department of Social Work, University of Mississippi, Oxford, MS 38677, USA
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9
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Patel RR, Wolfe SA, Borgonetti V, Gandhi PJ, Rodriguez L, Snyder AE, D'Ambrosio S, Bajo M, Domissy A, Head S, Contet C, Dayne Mayfield R, Roberts AJ, Roberto M. Ethanol withdrawal-induced adaptations in prefrontal corticotropin releasing factor receptor 1-expressing neurons regulate anxiety and conditioned rewarding effects of ethanol. Mol Psychiatry 2022; 27:3441-3451. [PMID: 35668157 PMCID: PMC9708587 DOI: 10.1038/s41380-022-01642-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Revised: 04/22/2022] [Accepted: 05/23/2022] [Indexed: 11/09/2022]
Abstract
Prefrontal circuits are thought to underlie aberrant emotion contributing to relapse in abstinence; however, the discrete cell-types and mechanisms remain largely unknown. Corticotropin-releasing factor and its cognate type-1 receptor, a prominent brain stress system, is implicated in anxiety and alcohol use disorder (AUD). Here, we tested the hypothesis that medial prefrontal cortex CRF1-expressing (mPFCCRF1+) neurons comprise a distinct population that exhibits neuroadaptations following withdrawal from chronic ethanol underlying AUD-related behavior. We found that mPFCCRF1+ neurons comprise a glutamatergic population with distinct electrophysiological properties and regulate anxiety and conditioned rewarding effects of ethanol. Notably, mPFCCRF1+ neurons undergo unique neuroadaptations compared to neighboring neurons including a remarkable decrease in excitability and glutamatergic signaling selectively in withdrawal, which is driven in part by the basolateral amygdala. To gain mechanistic insight into these electrophysiological adaptations, we sequenced the transcriptome of mPFCCRF1+ neurons and found that withdrawal leads to an increase in colony-stimulating factor 1 (CSF1) in this population. We found that selective overexpression of CSF1 in mPFCCRF1+ neurons is sufficient to decrease glutamate transmission, heighten anxiety, and abolish ethanol reinforcement, providing mechanistic insight into the observed mPFCCRF1+ synaptic adaptations in withdrawal that drive these behavioral phenotypes. Together, these findings highlight mPFCCRF1+ neurons as a critical site of enduring adaptations that may contribute to the persistent vulnerability to ethanol misuse in abstinence, and CSF1 as a novel target for therapeutic intervention for withdrawal-related negative affect.
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Affiliation(s)
- Reesha R Patel
- The Scripps Research Institute, 10550N. Torrey Pines Rd, La Jolla, CA, 92037, USA
| | - Sarah A Wolfe
- The Scripps Research Institute, 10550N. Torrey Pines Rd, La Jolla, CA, 92037, USA
| | - Vittoria Borgonetti
- The Scripps Research Institute, 10550N. Torrey Pines Rd, La Jolla, CA, 92037, USA
- Dipartimento di Neuroscienze, Psicologia, Area del Farmaco e Salute del Bambino, Università degli Studi di Firenze, 50139, Firenze (FI), Italy
| | - Pauravi J Gandhi
- The Scripps Research Institute, 10550N. Torrey Pines Rd, La Jolla, CA, 92037, USA
| | - Larry Rodriguez
- The Scripps Research Institute, 10550N. Torrey Pines Rd, La Jolla, CA, 92037, USA
| | - Angela E Snyder
- The Scripps Research Institute, 10550N. Torrey Pines Rd, La Jolla, CA, 92037, USA
| | - Shannon D'Ambrosio
- The Scripps Research Institute, 10550N. Torrey Pines Rd, La Jolla, CA, 92037, USA
| | - Michal Bajo
- The Scripps Research Institute, 10550N. Torrey Pines Rd, La Jolla, CA, 92037, USA
| | - Alain Domissy
- The Scripps Research Institute, 10550N. Torrey Pines Rd, La Jolla, CA, 92037, USA
| | - Steven Head
- The Scripps Research Institute, 10550N. Torrey Pines Rd, La Jolla, CA, 92037, USA
| | - Candice Contet
- The Scripps Research Institute, 10550N. Torrey Pines Rd, La Jolla, CA, 92037, USA
| | - R Dayne Mayfield
- Department of Neuroscience, The University of Texas at Austin, Austin, TX, 78712, USA
- Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Amanda J Roberts
- The Scripps Research Institute, 10550N. Torrey Pines Rd, La Jolla, CA, 92037, USA
| | - Marisa Roberto
- The Scripps Research Institute, 10550N. Torrey Pines Rd, La Jolla, CA, 92037, USA.
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10
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Park SE, Jeon YJ, Baek HM. Association between Changes in Cortical Thickness and Functional Connectivity in Male Patients with Alcohol-dependence. Exp Neurobiol 2021; 30:441-450. [PMID: 34983884 PMCID: PMC8752324 DOI: 10.5607/en21036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 11/22/2021] [Accepted: 11/22/2021] [Indexed: 11/28/2022] Open
Abstract
Many studies have reported structural or functional brain changes in patients with alcohol-dependence (ADPs). However, there has been an insufficient number of studies that were able to identify functional changes along with structural abnormalities in ADPs. Since neuronal cell death can lead to abnormal brain function, a multimodal approach combined with structural and functional studies is necessary to understand definitive neural mechanisms. Here, we explored regional difference in cortical thickness and their impact on functional connection along with clinical relevance. Fifteen male ADPs who have been diagnosed by the Diagnostic and Statistical Manual of Mental Disorders 5 (DSM-5) underwent high-resolution T1 and resting-state functional magnetic resonance imaging (MRI) scans together with 15 male healthy controls (HCs). The acquired MRI data were post-processed using the Computational Anatomy Toolbox (CAT 12) and CONN-fMRI functional connectivity (FC) toolbox with Statistical Parametric Mapping (SPM 12). When compared with male HCs, the male ADPs showed significantly reduced cortical thickness in the left postcentral gyrus (PoCG), an area responsible for altered resting-state FC patterns in male ADPs. Statistically higher FCs in PoCG-cerebellum (Cb) and lower FCs in PoCG-supplementary motor area (SMA) were observed in male ADPs. In particular, the FCs with PoCG-Cb positively correlated with alcohol use disorders identification test (AUDIT) scores in male ADPs. Our findings suggest that the association of brain structural abnormalities and FC changes could be a characteristic difference in male ADPs. These findings can be useful in understanding the neural mechanisms associated with anatomical, functional and clinical features of individuals with alcoholism.
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Affiliation(s)
- Shin-Eui Park
- Lee Gil Ya Cancer & Diabetes Institute, Gachon University, Incheon 21999, Korea
| | - Yeong-Jae Jeon
- Department of Health Science and Technology, GAIHST, Gachon University, Incheon 21936, Korea
| | - Hyeon-Man Baek
- Lee Gil Ya Cancer & Diabetes Institute, Gachon University, Incheon 21999, Korea.,Department of Health Science and Technology, GAIHST, Gachon University, Incheon 21936, Korea
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11
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Walker CD, Kuhn CM, Risher ML. The effects of peri-adolescent alcohol use on the developing hippocampus. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2021; 160:251-280. [PMID: 34696875 DOI: 10.1016/bs.irn.2021.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Adolescence is a period of continued brain development. Regions of the brain, such as the hippocampus, continue to undergo refinement and maturation throughout adolescence and into early adulthood. Adolescence is also a time of heightened sensitivity to novelty and reward, which contribute to an increase in risk-taking behaviors including the use of drugs and alcohol. Importantly, binge drinking is highly prevalent among adolescents and emerging adults. The hippocampus which is important for the integration of emotion, reward, homeostasis, and memory is particularly vulnerable to the neurotoxic effects of alcohol. In this chapter, we cover the fundamentals of hippocampal neuroanatomy and the current state of knowledge of the acute and chronic effects of ethanol in adolescent humans and adolescent rodent models. We focus on the hippocampal-dependent behavioral, structural, and neurochemical changes and identify knowledge gaps in our understanding of age-dependent neurobiological effects of alcohol use.
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Affiliation(s)
- C D Walker
- Department of Biomedical Research, Joan C Edwards School of Medicine Marshall University, Huntington, WV, United States
| | - Cynthia M Kuhn
- Department of Pharmacology and Cancer Biology, School of Medicine, Duke University, Durham, NC, United States
| | - M-L Risher
- Department of Biomedical Research, Joan C Edwards School of Medicine Marshall University, Huntington, WV, United States; Neurobiology Research Laboratory, Hershel Woody Williams Veteran Affairs Medical Center, Huntington, WV, United States.
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12
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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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13
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Hozer F, Sarrazin S, Laidi C, Favre P, Pauling M, Cannon D, McDonald C, Emsell L, Mangin JF, Duchesnay E, Bellani M, Brambilla P, Wessa M, Linke J, Polosan M, Versace A, Phillips ML, Delavest M, Bellivier F, Hamdani N, d'Albis MA, Leboyer M, Houenou J. Lithium prevents grey matter atrophy in patients with bipolar disorder: an international multicenter study. Psychol Med 2021; 51:1201-1210. [PMID: 31983348 DOI: 10.1017/s0033291719004112] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Lithium (Li) is the gold standard treatment for bipolar disorder (BD). However, its mechanisms of action remain unknown but include neurotrophic effects. We here investigated the influence of Li on cortical and local grey matter (GM) volumes in a large international sample of patients with BD and healthy controls (HC). METHODS We analyzed high-resolution T1-weighted structural magnetic resonance imaging scans of 271 patients with BD type I (120 undergoing Li) and 316 HC. Cortical and local GM volumes were compared using voxel-wise approaches with voxel-based morphometry and SIENAX using FSL. We used multiple linear regression models to test the influence of Li on cortical and local GM volumes, taking into account potential confounding factors such as a history of alcohol misuse. RESULTS Patients taking Li had greater cortical GM volume than patients without. Patients undergoing Li had greater regional GM volumes in the right middle frontal gyrus, the right anterior cingulate gyrus, and the left fusiform gyrus in comparison with patients not taking Li. CONCLUSIONS Our results in a large multicentric sample support the hypothesis that Li could exert neurotrophic and neuroprotective effects limiting pathological GM atrophy in key brain regions associated with BD.
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Affiliation(s)
- Franz Hozer
- Department of Psychiatry, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Corentin-Celton, Issy-les-Moulineaux, France
- Paris Descartes University, PRES Sorbonne Paris Cité, Paris, France
- UNIACT Lab, Psychiatry Team, NeuroSpin Neuroimaging Platform, CEA Saclay, Gif-sur-Yvette, France
- INSERM U955, Mondor Institute for Biomedical Research, Team 15, Translational Psychiatry, Créteil, France
| | - Samuel Sarrazin
- UNIACT Lab, Psychiatry Team, NeuroSpin Neuroimaging Platform, CEA Saclay, Gif-sur-Yvette, France
- INSERM U955, Mondor Institute for Biomedical Research, Team 15, Translational Psychiatry, Créteil, France
| | - Charles Laidi
- UNIACT Lab, Psychiatry Team, NeuroSpin Neuroimaging Platform, CEA Saclay, Gif-sur-Yvette, France
- INSERM U955, Mondor Institute for Biomedical Research, Team 15, Translational Psychiatry, Créteil, France
- Department of Psychiatry, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpitaux Universitaires Mondor, Créteil, France
- Fondation FondaMental, Créteil, France
| | - Pauline Favre
- UNIACT Lab, Psychiatry Team, NeuroSpin Neuroimaging Platform, CEA Saclay, Gif-sur-Yvette, France
- INSERM U955, Mondor Institute for Biomedical Research, Team 15, Translational Psychiatry, Créteil, France
| | - Melissa Pauling
- UNIACT Lab, Psychiatry Team, NeuroSpin Neuroimaging Platform, CEA Saclay, Gif-sur-Yvette, France
- INSERM U955, Mondor Institute for Biomedical Research, Team 15, Translational Psychiatry, Créteil, France
- Department of Psychiatry, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpitaux Universitaires Mondor, Créteil, France
- Fondation FondaMental, Créteil, France
| | - Dara Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), NCBES Galway Neuroscience Centre, National University of Ireland Galway, H91 TK33Galway, Ireland
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), NCBES Galway Neuroscience Centre, National University of Ireland Galway, H91 TK33Galway, Ireland
| | - Louise Emsell
- Translational MRI, Department of Imaging & Pathology, KU Leuven, Leuven, Belgium
- Department of Old Age Psychiatry, University Psychiatry Centre, KU Leuven, Leuven, Belgium
| | | | - Edouard Duchesnay
- UNATI Lab, NeuroSpin Neuroimaging Platform, CEA Saclay, Gif-sur-Yvette, France
| | - Marcella Bellani
- UOC Psychiatry, Azienda Ospedaliera Universitaria Integrata Verona (AOUI), Verona, Italy
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Grand Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Michele Wessa
- Department of Clinical Psychology and Neuropsychology, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Julia Linke
- Department of Clinical Psychology and Neuropsychology, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Mircea Polosan
- Grenoble Alpes University, Grenoble Institute of Neuroscience, INSERM U1216, Hôpital Grenoble Alpes, Grenoble, France
| | - Amelia Versace
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Mary L Phillips
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Marine Delavest
- Department of Psychiatry, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Lariboisière-Fernand Widal, INSERM U705 CNRS UMR 8206, Paris, France
- Paris Diderot University, Paris, France
| | - Frank Bellivier
- Department of Psychiatry, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Lariboisière-Fernand Widal, INSERM U705 CNRS UMR 8206, Paris, France
- Paris Diderot University, Paris, France
| | - Nora Hamdani
- INSERM U955, Mondor Institute for Biomedical Research, Team 15, Translational Psychiatry, Créteil, France
- Department of Psychiatry, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpitaux Universitaires Mondor, Créteil, France
- Fondation FondaMental, Créteil, France
| | - Marc-Antoine d'Albis
- UNIACT Lab, Psychiatry Team, NeuroSpin Neuroimaging Platform, CEA Saclay, Gif-sur-Yvette, France
- INSERM U955, Mondor Institute for Biomedical Research, Team 15, Translational Psychiatry, Créteil, France
- Department of Psychiatry, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpitaux Universitaires Mondor, Créteil, France
- Fondation FondaMental, Créteil, France
| | - Marion Leboyer
- INSERM U955, Mondor Institute for Biomedical Research, Team 15, Translational Psychiatry, Créteil, France
- Department of Psychiatry, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpitaux Universitaires Mondor, Créteil, France
- Fondation FondaMental, Créteil, France
- Faculté de Médecine de Créteil, Université Paris Est Créteil, Créteil, France
| | - Josselin Houenou
- UNIACT Lab, Psychiatry Team, NeuroSpin Neuroimaging Platform, CEA Saclay, Gif-sur-Yvette, France
- INSERM U955, Mondor Institute for Biomedical Research, Team 15, Translational Psychiatry, Créteil, France
- Department of Psychiatry, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpitaux Universitaires Mondor, Créteil, France
- Fondation FondaMental, Créteil, France
- Faculté de Médecine de Créteil, Université Paris Est Créteil, Créteil, France
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14
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Alcohol. Alcohol 2021. [DOI: 10.1016/b978-0-12-816793-9.00001-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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15
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Mira RG, Lira M, Tapia-Rojas C, Rebolledo DL, Quintanilla RA, Cerpa W. Effect of Alcohol on Hippocampal-Dependent Plasticity and Behavior: Role of Glutamatergic Synaptic Transmission. Front Behav Neurosci 2020; 13:288. [PMID: 32038190 PMCID: PMC6993074 DOI: 10.3389/fnbeh.2019.00288] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 12/18/2019] [Indexed: 12/19/2022] Open
Abstract
Problematic alcohol drinking and alcohol dependence are an increasing health problem worldwide. Alcohol abuse is responsible for approximately 5% of the total deaths in the world, but addictive consumption of it has a substantial impact on neurological and memory disabilities throughout the population. One of the better-studied brain areas involved in cognitive functions is the hippocampus, which is also an essential brain region targeted by ethanol. Accumulated evidence in several rodent models has shown that ethanol treatment produces cognitive impairment in hippocampal-dependent tasks. These adverse effects may be related to the fact that ethanol impairs the cellular and synaptic plasticity mechanisms, including adverse changes in neuronal morphology, spine architecture, neuronal communication, and finally an increase in neuronal death. There is evidence that the damage that occurs in the different brain structures is varied according to the stage of development during which the subjects are exposed to ethanol, and even much earlier exposure to it would cause damage in the adult stage. Studies on the cellular and cognitive deficiencies produced by alcohol in the brain are needed in order to search for new strategies to reduce alcohol neuronal toxicity and to understand its consequences on memory and cognitive performance with emphasis on the crucial stages of development, including prenatal events to adulthood.
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Affiliation(s)
- Rodrigo G Mira
- Laboratorio de Función y Patología Neuronal, Departamento de Biología Celular y Molecular, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile.,Laboratory of Neurobiology of Aging, Universidad San Sebastián, Santiago, Chile
| | - Matias Lira
- Laboratorio de Función y Patología Neuronal, Departamento de Biología Celular y Molecular, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Cheril Tapia-Rojas
- Laboratory of Neurobiology of Aging, Universidad San Sebastián, Santiago, Chile.,Laboratory of Neurodegenerative Diseases, Universidad Autónoma de Chile, Providencia, Chile
| | - Daniela L Rebolledo
- Centro de Excelencia en Biomedicina de Magallanes (CEBIMA), Universidad de Magallanes, Punta Arenas, Chile.,Escuela de Obstetricia y Puericultura and Centro Integrativo de Biología y Química Aplicada (CIBQA), Facultad de Salud, Universidad Bernardo O Higgins, Santiago, Chile
| | - Rodrigo A Quintanilla
- Laboratory of Neurobiology of Aging, Universidad San Sebastián, Santiago, Chile.,Laboratory of Neurodegenerative Diseases, Universidad Autónoma de Chile, Providencia, Chile
| | - Waldo Cerpa
- Laboratorio de Función y Patología Neuronal, Departamento de Biología Celular y Molecular, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile.,Laboratory of Neurobiology of Aging, Universidad San Sebastián, Santiago, Chile.,Centro de Excelencia en Biomedicina de Magallanes (CEBIMA), Universidad de Magallanes, Punta Arenas, Chile
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16
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Guggenmos M, Schmack K, Veer IM, Lett T, Sekutowicz M, Sebold M, Garbusow M, Sommer C, Wittchen HU, Zimmermann US, Smolka MN, Walter H, Heinz A, Sterzer P. A multimodal neuroimaging classifier for alcohol dependence. Sci Rep 2020; 10:298. [PMID: 31941972 PMCID: PMC6962344 DOI: 10.1038/s41598-019-56923-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Accepted: 12/19/2019] [Indexed: 01/09/2023] Open
Abstract
With progress in magnetic resonance imaging technology and a broader dissemination of state-of-the-art imaging facilities, the acquisition of multiple neuroimaging modalities is becoming increasingly feasible. One particular hope associated with multimodal neuroimaging is the development of reliable data-driven diagnostic classifiers for psychiatric disorders, yet previous studies have often failed to find a benefit of combining multiple modalities. As a psychiatric disorder with established neurobiological effects at several levels of description, alcohol dependence is particularly well-suited for multimodal classification. To this aim, we developed a multimodal classification scheme and applied it to a rich neuroimaging battery (structural, functional task-based and functional resting-state data) collected in a matched sample of alcohol-dependent patients (N = 119) and controls (N = 97). We found that our classification scheme yielded 79.3% diagnostic accuracy, which outperformed the strongest individual modality – grey-matter density – by 2.7%. We found that this moderate benefit of multimodal classification depended on a number of critical design choices: a procedure to select optimal modality-specific classifiers, a fine-grained ensemble prediction based on cross-modal weight matrices and continuous classifier decision values. We conclude that the combination of multiple neuroimaging modalities is able to moderately improve the accuracy of machine-learning-based diagnostic classification in alcohol dependence.
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Affiliation(s)
- Matthias Guggenmos
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
| | - Katharina Schmack
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Ilya M Veer
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Tristram Lett
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Maria Sekutowicz
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Miriam Sebold
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Maria Garbusow
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Christian Sommer
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Hans-Ulrich Wittchen
- Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Dresden, Germany.,Department of Psychiatry and Psychotherapy, Ludwig Maximilans Universität Munich, Munich, Germany
| | - Ulrich S Zimmermann
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany.,Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Philipp Sterzer
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
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17
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Wiegmann C, Mick I, Brandl EJ, Heinz A, Gutwinski S. Alcohol and Dementia - What is the Link? A Systematic Review. Neuropsychiatr Dis Treat 2020; 16:87-99. [PMID: 32021202 PMCID: PMC6957093 DOI: 10.2147/ndt.s198772] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Accepted: 12/22/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Dementia is a globally increasing health issue and since no cure is currently available, prevention is crucial. The consumption of alcohol is a controversially discussed risk factor for dementia. While many previously published epidemiological studies reported a risk reduction by light to moderate alcohol consumption, there is no persuasive model of an underlying biochemical mechanism. The purpose of this article is to review current models on alcohol neurotoxicity and dementia and to analyze and compare studies focusing on the epidemiological link between alcohol consumption and the risk of dementia. METHODS The electronic database Pubmed was searched for studies published between 1994 and 2019 concerning the topic. RESULTS Available epidemiological studies are not sufficient to verify a protective effect of alcohol on dementia development.
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Affiliation(s)
- Caspar Wiegmann
- Department of Psychiatry and Psychotherapy, Psychiatric Hospital of Charité at St. Hedwig Hospital, Berlin, Germany
| | - Inge Mick
- Department of Psychiatry and Psychotherapy, Psychiatric Hospital of Charité at St. Hedwig Hospital, Berlin, Germany
| | - Eva J Brandl
- Department of Psychiatry and Psychotherapy, Psychiatric Hospital of Charité at St. Hedwig Hospital, Berlin, Germany
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Psychiatric Hospital of Charité at St. Hedwig Hospital, Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité University Medicine Berlin, Berlin, Germany
| | - Stefan Gutwinski
- Department of Psychiatry and Psychotherapy, Psychiatric Hospital of Charité at St. Hedwig Hospital, Berlin, Germany
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18
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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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19
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Abstract
There are vast literatures on the neural effects of alcohol and the neural effects of exercise. Simply put, exercise is associated with brain health, alcohol is not, and the mechanisms by which exercise benefits the brain directly counteract the mechanisms by which alcohol damages it. Although a degree of brain recovery naturally occurs upon cessation of alcohol consumption, effective treatments for alcohol-induced brain damage are badly needed, and exercise is an excellent candidate from a mechanistic standpoint. In this chapter, we cover the small but growing literature on the interactive neural effects of alcohol and exercise, and the capacity of exercise to repair alcohol-induced brain damage. Increasingly, exercise is being used as a component of treatment for alcohol use disorders (AUD), not because it reverses alcohol-induced brain damage, but because it represents a rewarding, alcohol-free activity that could reduce alcohol cravings and improve comorbid conditions such as anxiety and depression. It is important to bear in mind, however, that multiple studies attest to a counterintuitive positive relationship between alcohol intake and exercise. We therefore conclude with cautionary notes regarding the use of exercise to repair the brain after alcohol damage.
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20
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Unterrainer HF, Hiebler-Ragger M, Koschutnig K, Fuchshuber J, Ragger K, Perchtold CM, Papousek I, Weiss EM, Fink A. Brain Structure Alterations in Poly-Drug Use: Reduced Cortical Thickness and White Matter Impairments in Regions Associated With Affective, Cognitive, and Motor Functions. Front Psychiatry 2019; 10:667. [PMID: 31616326 PMCID: PMC6763614 DOI: 10.3389/fpsyt.2019.00667] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 08/19/2019] [Indexed: 12/21/2022] Open
Abstract
Substance use disorders (SUDs) are defined by obsessive and uncontrolled consumption, which is related to neurobiological changes. Based on previous work, this study investigated potential alterations in brain structure in poly-drug use disordered (PUD) patients in comparison to controls from the normal population. This study involved a sample of 153 right-handed men aged between 18 and 41 years, comprising a clinical group of 78 PUD and a group of 75 healthy controls. Group differences in gray matter (GM) and white matter (WM), as well as cortical thickness (CT), were investigated by means of diffusion tensor imaging using automated fiber quantification (AFQ) and voxel-based morphometry. We observed significant WM impairments in PUD, especially in the bilateral corticospinal tracts and the inferior longitudinal fasciculi. Furthermore, we found reduced CT in the PUD group especially in the left insular and left lateral orbitofrontal cortex. There were no group differences in GM. In addition, PUD exhibited a higher amount of psychiatric symptoms (Brief Symptom Inventory) and impairments in cognitive functions (Wonderlic Personnel Test). In line with previous research, this study revealed substantial impairments in brain structure in the PUD group in areas linked with affective, cognitive, and motor functions. We therefore hypothesize a neurologically informed treatment approach for SUD. Future studies should consequently explore a potential positive neuroplasticity in relation to a better therapeutic outcome.
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Affiliation(s)
- Human F. Unterrainer
- Center for Integrative Addiction Research (CIAR), Grüner Kreis Society, Vienna, Austria
- University Clinic for Psychiatry and Psychotherapeutic Medicine, Medical University Graz, Graz, Austria
- Institute for Religious Studies, University of Vienna, Vienna, Austria
| | - Michaela Hiebler-Ragger
- Center for Integrative Addiction Research (CIAR), Grüner Kreis Society, Vienna, Austria
- University Clinic for Psychiatry and Psychotherapeutic Medicine, Medical University Graz, Graz, Austria
| | | | - Jürgen Fuchshuber
- Center for Integrative Addiction Research (CIAR), Grüner Kreis Society, Vienna, Austria
- University Clinic for Psychiatry and Psychotherapeutic Medicine, Medical University Graz, Graz, Austria
| | - Klemens Ragger
- Center for Integrative Addiction Research (CIAR), Grüner Kreis Society, Vienna, Austria
- University Clinic for Psychiatry and Psychotherapeutic Medicine, Medical University Graz, Graz, Austria
| | | | - Ilona Papousek
- Institute of Psychology, University of Graz, Graz, Austria
| | | | - Andreas Fink
- Institute of Psychology, University of Graz, Graz, Austria
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21
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Melbourne JK, Thompson KR, Peng H, Nixon K. Its complicated: The relationship between alcohol and microglia in the search for novel pharmacotherapeutic targets for alcohol use disorders. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2019; 167:179-221. [PMID: 31601404 DOI: 10.1016/bs.pmbts.2019.06.011] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Alcohol use disorder (AUD) is a chronic relapsing disorder with wide-ranging health consequences. Alcohol targets the central nervous system producing neurodegeneration and subsequent cognitive and behavioral deficits, but the mechanisms behind these effects remain unclear. Recently, evidence has been mounting for the role of neuroimmune activation in the pathogenesis of AUDs, but our nascent state of knowledge about the interaction of alcohol with the neuroimmune system supports that the relationship is complicated. As the resident macrophage of the central nervous system, microglia are a central focus. Human and animal research on the interplay between microglia and alcohol in AUDs has proven to be complex, and though early research focused on a pro-inflammatory phenotype of microglia, the anti-inflammatory and homeostatic roles of microglia must be considered. How these new roles for microglia should be incorporated into our thinking about the neuroimmune system in AUDs is discussed in the context of developing novel pharmacotherapies for AUDs.
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Affiliation(s)
- Jennifer K Melbourne
- The University of Texas at Austin, College of Pharmacy, Division of Pharmacology & Toxicology, Austin, TX, United States
| | - K Ryan Thompson
- The University of Texas at Austin, College of Pharmacy, Division of Pharmacology & Toxicology, Austin, TX, United States
| | - Hui Peng
- University of Kentucky, College of Pharmacy, Department of Pharmaceutical Sciences, Lexington, KY, United States
| | - Kimberly Nixon
- The University of Texas at Austin, College of Pharmacy, Division of Pharmacology & Toxicology, Austin, TX, United States.
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22
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Fritz M, Klawonn AM, Zahr NM. Neuroimaging in alcohol use disorder: From mouse to man. J Neurosci Res 2019; 100:1140-1158. [PMID: 31006907 DOI: 10.1002/jnr.24423] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Revised: 02/15/2019] [Accepted: 03/14/2019] [Indexed: 02/06/2023]
Abstract
This article provides an overview of recent advances in understanding the effects of alcohol use disorders (AUD) on the brain from the perspective of magnetic resonance imaging (MRI) research in preclinical models and clinical studies. As a noninvasive investigational tool permitting assessment of morphological, metabolic, and hemodynamic changes over time, MRI offers insight into the dynamic course of alcoholism beginning with initial exposure through periods of binge drinking and escalation, sobriety, and relapse and has been useful in differential diagnosis of neurological diseases associated with AUD. Structural MRI has revealed acute and chronic effects of alcohol on both white and gray matter volumes. MR Spectroscopy, able to quantify brain metabolites in vivo, has shed light on biochemical alterations associated with alcoholism. Diffusion tensor imaging permits microstructural characterization of white matter fiber tracts. Functional MRI has allowed for elucidation of hemodynamic responses at rest and during task engagement. Positron emission tomography, a non-MRI imaging tool, has led to a deeper understanding of alcohol-induced receptor and neurotransmitter changes during various stages of drinking and abstinence. Together, such in vivo imaging tools have expanded our understanding of the dynamic course of alcoholism including evidence for regional specificity of the effects of AUD, hints at mechanisms underlying the shift from casual to compulsive use of alcohol, and profound recovery with sustained abstinence.
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Affiliation(s)
- Michael Fritz
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Anna M Klawonn
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Natalie M Zahr
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California.,Neuroscience Program, SRI International, Menlo Park, California
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23
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Gullett JM, Lamb DG, Porges E, Woods AJ, Rieke J, Thompson P, Jahanshad N, Nir TM, Tashima K, Cohen RA. The Impact of Alcohol Use on Frontal White Matter in HIV. Alcohol Clin Exp Res 2018; 42:1640-1649. [PMID: 29957870 PMCID: PMC6120768 DOI: 10.1111/acer.13823] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Accepted: 06/23/2018] [Indexed: 12/13/2022]
Abstract
BACKGROUND Alcohol use disorder (AUD) is prevalent among individuals diagnosed with human immunodeficiency virus (HIV), and both HIV and alcohol use have been shown to negatively affect the integrity of white matter pathways in the brain. Behavioral, functional, and anatomical impairments have been linked independently to HIV and alcohol use, and these impairments have bases in specific frontally mediated pathways within the brain. METHODS Magnetic resonance imaging data were acquired for 37 HIV+ participants without dementia or hepatitis C. Imaging data were processed through the FreeSurfer and TraCULA pipelines to obtain 4 bilateral frontal white matter tracts for each participant. Diffusion metrics of white matter integrity along the highest probability pathway for each tract were analyzed with respect to demographics, disease-specific variables, and reported substance use. RESULTS Significantly increased axial diffusivity (decreased axonal integrity) and a trending increase in mean diffusivity were observed along the anterior thalamic radiation (ATR) in participants with a history of AUD. A diagnosis of AUD explained over 36% of the variance in diffusivity along the ATR overall when accounting for clinical variables including nadir CD4 and age-adjusted HIV infection length. CONCLUSIONS This study provides evidence of HIV-related associations between alcohol use and indicators of axonal integrity loss along the ATR, a frontal pathway involved in the inhibition of addictive or unwanted behaviors. Reduced axonal integrity of this pathway was greatest in HIV+ participants with an AUD, even when considering the effect of age-adjusted disease length and severity (nadir CD4). This finding implicates a potential biological mechanism linking reduced integrity of frontal white matter to the high prevalence of AUD in an HIV+ population without dementia or hepatitis C.
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Affiliation(s)
- Joseph M. Gullett
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL
| | - Damon G. Lamb
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL
- Brain Rehabilitation Research Center, Malcom Randall VA Medical Center, Gainesville, FL
- Department of Neurology, University of Florida, Gainesville, FL
| | - Eric Porges
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL
| | - Adam J. Woods
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL
| | - Jake Rieke
- Brain Rehabilitation Research Center, Malcom Randall VA Medical Center, Gainesville, FL
| | - Paul Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, USC Keck School of Medicine, Marina del Rey, CA, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, USC Keck School of Medicine, Marina del Rey, CA, USA
| | - Talia M. Nir
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, USC Keck School of Medicine, Marina del Rey, CA, USA
| | - Karen Tashima
- The Miriam Hospital, Alpert College of Medicine, Brown University, Providence, RI
| | - Ronald A. Cohen
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL
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24
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Willford JA, Singhabahu D, Herat A, Richardson GA. An examination of the association between prenatal cocaine exposure and brain activation measures of arousal and attention in young adults: An fMRI study using the Attention Network Task. Neurotoxicol Teratol 2018; 69:1-10. [PMID: 29953942 DOI: 10.1016/j.ntt.2018.06.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2017] [Revised: 05/23/2018] [Accepted: 06/22/2018] [Indexed: 11/19/2022]
Abstract
Prenatal drug exposure, including cocaine, alcohol, marijuana, and tobacco, is associated with deficits in behavioral regulation and attention. Using fMRI, the objective of this study was to characterize the association between prenatal cocaine exposure (PCE) and the underlying neural substrates associated with behavioral outcomes of attention. Forty-seven young adults were recruited for this study from the ongoing Maternal Health Practices and Child Development (MHPCD) Project, a longitudinal study of the effects of PCE on growth, behavior, and cognitive function. Three groups were compared: 1) prenatal exposure to cocaine, alcohol, marijuana, and tobacco (CAMT, n = 15), 2) prenatal exposure to alcohol, marijuana, and tobacco (AMT, n = 17), and 3) no prenatal exposure to drugs (Controls, n = 15). Subjects were frequency matched on gender, race, handedness, and 15-year IQ. This study used the theoretical model proposed by Posner and Peterson (1990), which posits three dissociable components of attention: alerting, orienting, and executive attention. Subjects completed a functional MRI (fMRI) scan while performing the Attention Network Task, a validated neuroimaging measure of the 3-network model of attention. Behavioral and fMRI data revealed no associations between PCE and task accuracy, speed of processing, or activation in key brain regions associated with each of the attention networks. The results of this study show that any subtle differences in brain function associated with PCE are not detectable using the ANT task and fMRI. These results should be interpreted in the context of other studies that have found associations between PCE and arousal with emotionally arousing stimuli, compared to this study that found no associations using emotionally neutral stimuli.
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Affiliation(s)
- Jennifer A Willford
- Department of Psychology, Slippery Rock University, 1 Morrow Way, Slippery Rock, PA 16057, United States of America.
| | - Dil Singhabahu
- Department of Mathematics, Slippery Rock University, 1 Morrow Way, Slippery Rock, PA 16057, United States of America.
| | - Athula Herat
- Department of Physics, Slippery Rock University, 1 Morrow Way, Slippery Rock, PA 16057, United States of America.
| | - Gale A Richardson
- Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O'Hara Street, Pittsburgh, PA 15213, United States of America.
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Hibar DP, Westlye LT, Doan NT, Jahanshad N, Cheung JW, Ching CRK, Versace A, Bilderbeck AC, Uhlmann A, Mwangi B, Krämer B, Overs B, Hartberg CB, Abé C, Dima D, Grotegerd D, Sprooten E, Bøen E, Jimenez E, Howells FM, Delvecchio G, Temmingh H, Starke J, Almeida JRC, Goikolea JM, Houenou J, Beard LM, Rauer L, Abramovic L, Bonnin M, Ponteduro MF, Keil M, Rive MM, Yao N, Yalin N, Najt P, Rosa PG, Redlich R, Trost S, Hagenaars S, Fears SC, Alonso-Lana S, van Erp TGM, Nickson T, Chaim-Avancini TM, Meier TB, Elvsåshagen T, Haukvik UK, Lee WH, Schene AH, Lloyd AJ, Young AH, Nugent A, Dale AM, Pfennig A, McIntosh AM, Lafer B, Baune BT, Ekman CJ, Zarate CA, Bearden CE, Henry C, Simhandl C, McDonald C, Bourne C, Stein DJ, Wolf DH, Cannon DM, Glahn DC, Veltman DJ, Pomarol-Clotet E, Vieta E, Canales-Rodriguez EJ, Nery FG, Duran FLS, Busatto GF, Roberts G, Pearlson GD, Goodwin GM, Kugel H, Whalley HC, Ruhe HG, Soares JC, Fullerton JM, Rybakowski JK, Savitz J, Chaim KT, Fatjó-Vilas M, Soeiro-de-Souza MG, Boks MP, Zanetti MV, Otaduy MCG, Schaufelberger MS, Alda M, Ingvar M, Phillips ML, Kempton MJ, Bauer M, Landén M, Lawrence NS, van Haren NEM, Horn NR, Freimer NB, Gruber O, Schofield PR, Mitchell PB, Kahn RS, Lenroot R, Machado-Vieira R, Ophoff RA, Sarró S, Frangou S, Satterthwaite TD, Hajek T, Dannlowski U, Malt UF, Arolt V, Gattaz WF, Drevets WC, Caseras X, Agartz I, Thompson PM, Andreassen OA. Cortical abnormalities in bipolar disorder: an MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group. Mol Psychiatry 2018; 23:932-942. [PMID: 28461699 PMCID: PMC5668195 DOI: 10.1038/mp.2017.73] [Citation(s) in RCA: 445] [Impact Index Per Article: 74.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Revised: 02/04/2017] [Accepted: 02/10/2017] [Indexed: 12/13/2022]
Abstract
Despite decades of research, the pathophysiology of bipolar disorder (BD) is still not well understood. Structural brain differences have been associated with BD, but results from neuroimaging studies have been inconsistent. To address this, we performed the largest study to date of cortical gray matter thickness and surface area measures from brain magnetic resonance imaging scans of 6503 individuals including 1837 unrelated adults with BD and 2582 unrelated healthy controls for group differences while also examining the effects of commonly prescribed medications, age of illness onset, history of psychosis, mood state, age and sex differences on cortical regions. In BD, cortical gray matter was thinner in frontal, temporal and parietal regions of both brain hemispheres. BD had the strongest effects on left pars opercularis (Cohen's d=-0.293; P=1.71 × 10-21), left fusiform gyrus (d=-0.288; P=8.25 × 10-21) and left rostral middle frontal cortex (d=-0.276; P=2.99 × 10-19). Longer duration of illness (after accounting for age at the time of scanning) was associated with reduced cortical thickness in frontal, medial parietal and occipital regions. We found that several commonly prescribed medications, including lithium, antiepileptic and antipsychotic treatment showed significant associations with cortical thickness and surface area, even after accounting for patients who received multiple medications. We found evidence of reduced cortical surface area associated with a history of psychosis but no associations with mood state at the time of scanning. Our analysis revealed previously undetected associations and provides an extensive analysis of potential confounding variables in neuroimaging studies of BD.
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Affiliation(s)
- D P Hibar
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA,Janssen Research & Development, San Diego, CA, USA
| | - L T Westlye
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway,Department of Psychology, University of Oslo, Oslo, Norway
| | - N T Doan
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - N Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA
| | - J W Cheung
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA
| | - C R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA,Neuroscience Interdepartmental Graduate Program, University of California, Los Angeles, Los Angeles, CA, USA
| | - A Versace
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - A C Bilderbeck
- University Department of Psychiatry and Oxford Health NHS Foundation Trust, University of Oxford, Oxford, UK
| | - A Uhlmann
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa,MRC Unit on Anxiety and Stress Disorders, Groote Schuur Hospital (J-2), University of Cape Town, Cape Town, South Africa
| | - B Mwangi
- UT Center of Excellence on Mood Disorders, Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - B Krämer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - B Overs
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - C B Hartberg
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - C Abé
- Department of Clinical Neuroscience, Osher Centre, Karolinska Institutet, Stockholm, Sweden
| | - D Dima
- Department of Psychology, City University London, London, UK,Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - D Grotegerd
- Department of Psychiatry, University of Münster, Münster, Germany
| | - E Sprooten
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - E Bøen
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - E Jimenez
- Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Spain
| | - F M Howells
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - G Delvecchio
- IRCCS "E. Medea" Scientific Institute, San Vito al Tagliamento, Italy
| | - H Temmingh
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - J Starke
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - J R C Almeida
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - J M Goikolea
- Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Spain
| | - J Houenou
- INSERM U955 Team 15 ‘Translational Psychiatry’, University Paris East, APHP, CHU Mondor, Fondation FondaMental, Créteil, France,NeuroSpin, UNIACT Lab, Psychiatry Team, CEA Saclay, Gif Sur Yvette, France
| | - L M Beard
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - L Rauer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - L Abramovic
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - M Bonnin
- Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Spain
| | - M F Ponteduro
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - M Keil
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - M M Rive
- Program for Mood Disorders, Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - N Yao
- Department of Psychiatry, Yale University, New Haven, CT, USA,Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - N Yalin
- Centre for Affective Disorders, King’s College London, London, UK
| | - P Najt
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - P G Rosa
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - R Redlich
- Department of Psychiatry, University of Münster, Münster, Germany
| | - S Trost
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - S Hagenaars
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - S C Fears
- Department of Psychiatry, University of California, Los Angeles, Los Angeles, CA, USA,West Los Angeles Veterans Administration, Los Angeles, CA, USA
| | - S Alonso-Lana
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - T G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - T Nickson
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - T M Chaim-Avancini
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - T B Meier
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA,Laureate Institute for Brain Research, Tulsa, OK, USA
| | - T Elvsåshagen
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - U K Haukvik
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Adult Psychiatry, University of Oslo, Oslo, Norway
| | - W H Lee
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - A H Schene
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands,Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - A J Lloyd
- Academic Psychiatry and Northern Centre for Mood Disorders, Newcastle University/Northumberland Tyne & Wear NHS Foundation Trust, Newcastle, UK
| | - A H Young
- Centre for Affective Disorders, King’s College London, London, UK
| | - A Nugent
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - A M Dale
- MMIL, Department of Radiology, University of California San Diego, San Diego, CA, USA,Department of Cognitive Science, Neurosciences and Psychiatry, University of California, San Diego, San Diego, CA, USA
| | - A Pfennig
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - B Lafer
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - B T Baune
- Department of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - C J Ekman
- Department of Clinical Neuroscience, Osher Centre, Karolinska Institutet, Stockholm, Sweden
| | - C A Zarate
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - C E Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA,Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - C Henry
- INSERM U955 Team 15 ‘Translational Psychiatry’, University Paris East, APHP, CHU Mondor, Fondation FondaMental, Créteil, France,Institut Pasteur, Unité Perception et Mémoire, Paris, France
| | - C Simhandl
- Bipolar Center Wiener Neustadt, Wiener Neustadt, Austria
| | - C McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - C Bourne
- University Department of Psychiatry and Oxford Health NHS Foundation Trust, University of Oxford, Oxford, UK,Department of Psychology & Counselling, Newman University, Birmingham, UK
| | - D J Stein
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa,MRC Unit on Anxiety and Stress Disorders, Groote Schuur Hospital (J-2), University of Cape Town, Cape Town, South Africa
| | - D H Wolf
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - D M Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - D C Glahn
- Department of Psychiatry, Yale University, New Haven, CT, USA,Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - D J Veltman
- Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands
| | - E Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - E Vieta
- Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Spain
| | - E J Canales-Rodriguez
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - F G Nery
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - F L S Duran
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - G F Busatto
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - G Roberts
- School of Psychiatry and Black Dog Institute, University of New South Wales, Sydney, NSW, Australia
| | - G D Pearlson
- Department of Psychiatry, Yale University, New Haven, CT, USA,Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - G M Goodwin
- University Department of Psychiatry and Oxford Health NHS Foundation Trust, University of Oxford, Oxford, UK
| | - H Kugel
- Department of Clinical Radiology, University of Münster, Münster, Germany
| | - H C Whalley
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - H G Ruhe
- University Department of Psychiatry and Oxford Health NHS Foundation Trust, University of Oxford, Oxford, UK,Program for Mood Disorders, Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands,Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - J C Soares
- UT Center of Excellence on Mood Disorders, Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - J M Fullerton
- Neuroscience Research Australia, Sydney, NSW, Australia,School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - J K Rybakowski
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - J Savitz
- Laureate Institute for Brain Research, Tulsa, OK, USA,Faculty of Community Medicine, The University of Tulsa, Tulsa, OK, USA
| | - K T Chaim
- Department of Radiology, University of São Paulo, São Paulo, Brazil,LIM44-Laboratory of Magnetic Resonance in Neuroradiology, University of São Paulo, São Paulo, Brazil
| | - M Fatjó-Vilas
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - M G Soeiro-de-Souza
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - M P Boks
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - M V Zanetti
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - M C G Otaduy
- Department of Radiology, University of São Paulo, São Paulo, Brazil,LIM44-Laboratory of Magnetic Resonance in Neuroradiology, University of São Paulo, São Paulo, Brazil
| | - M S Schaufelberger
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - M Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - M Ingvar
- Department of Clinical Neuroscience, Osher Centre, Karolinska Institutet, Stockholm, Sweden,Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - M L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - M J Kempton
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - M Bauer
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - M Landén
- Department of Clinical Neuroscience, Osher Centre, Karolinska Institutet, Stockholm, Sweden,Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the Gothenburg University, Goteborg, Sweden
| | - N S Lawrence
- Department of Psychology, University of Exeter, Exeter, UK
| | - N E M van Haren
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - N R Horn
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - N B Freimer
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - O Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - P R Schofield
- Neuroscience Research Australia, Sydney, NSW, Australia,School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - P B Mitchell
- School of Psychiatry and Black Dog Institute, University of New South Wales, Sydney, NSW, Australia
| | - R S Kahn
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - R Lenroot
- Neuroscience Research Australia, Sydney, NSW, Australia,School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - R Machado-Vieira
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - R A Ophoff
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands,Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - S Sarró
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - S Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - T D Satterthwaite
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - T Hajek
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada,National Institute of Mental Health, Klecany, Czech Republic
| | - U Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - U F Malt
- Division of Clinical Neuroscience, Department of Research and Education, Oslo University Hospital, Oslo, Norway,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - V Arolt
- Department of Psychiatry, University of Münster, Münster, Germany
| | - W F Gattaz
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - W C Drevets
- Janssen Research & Development, Titusville, NJ, USA
| | - X Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - I Agartz
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - P M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA
| | - O A Andreassen
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway,NORMENT, KG Jebsen Centre for Psychosis Research—TOP Study, Oslo University Hospital, Ullevål, Building 49, Kirkeveien 166, PO Box 4956, Nydalen, 0424, Oslo, Norway. E-mail:
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Zahr NM. The Aging Brain With HIV Infection: Effects of Alcoholism or Hepatitis C Comorbidity. Front Aging Neurosci 2018; 10:56. [PMID: 29623036 PMCID: PMC5874324 DOI: 10.3389/fnagi.2018.00056] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Accepted: 02/20/2018] [Indexed: 12/11/2022] Open
Abstract
As successfully treated individuals with Human Immunodeficiency Virus (HIV)-infected age, cognitive and health challenges of normal aging ensue, burdened by HIV, treatment side effects, and high prevalence comorbidities, notably, Alcohol Use Disorders (AUD) and Hepatitis C virus (HCV) infection. In 2013, people over 55 years old accounted for 26% of the estimated number of people living with HIV (~1.2 million). The aging brain is increasingly vulnerable to endogenous and exogenous insult which, coupled with HIV infection and comorbid risk factors, can lead to additive or synergistic effects on cognitive and motor function. This paper reviews the literature on neuropsychological and in vivo Magnetic Resonance Imaging (MRI) evaluation of the aging HIV brain, while also considering the effects of comorbidity for AUD and HCV.
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Affiliation(s)
- Natalie M Zahr
- Neuroscience Program, SRI International, Menlo Park, CA, United States.,Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford University, Stanford, CA, United States
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Quantitative neurobiological evidence for accelerated brain aging in alcohol dependence. Transl Psychiatry 2017; 7:1279. [PMID: 29225356 PMCID: PMC5802586 DOI: 10.1038/s41398-017-0037-y] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Revised: 08/24/2017] [Accepted: 09/07/2017] [Indexed: 12/31/2022] Open
Abstract
The premature aging hypothesis of alcohol dependence proposes that the neurobiological and behavioural deficits in individuals with alcohol dependence are analogous to those of chronological aging. However, to date no systematic neurobiological evidence for this hypothesis has been provided. To test the hypothesis, 119 alcohol-dependent subjects and 97 age- and gender-matched healthy control subjects underwent structural MRI. Whole-brain grey matter volume maps were computed from structural MRI scans using voxel-based morphometry and parcelled into a comprehensive set of anatomical brain regions. Regional grey matter volume averages served as the basis for cross-regional similarity analyses and a brain age model. We found a striking correspondence between regional patterns of alcohol- and age-related grey matter loss across 110 brain regions. The brain age model revealed that the brain age of age-matched AD subjects was increased by up to 11.7 years. Interestingly, while no brain aging was detected in the youngest AD subjects (20-30 years), we found that alcohol-related brain aging systematically increased in the following age decades controlling for lifetime alcohol consumption and general health status. Together, these results provide strong evidence for an accelerated aging model of AD and indicate an elevated risk of alcohol-related brain aging in elderly individuals.
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Marszalek-Grabska M, Gibula-Bruzda E, Bodzon-Kulakowska A, Suder P, Gawel K, Talarek S, Listos J, Kedzierska E, Danysz W, Kotlinska JH. ADX-47273, a mGlu5 receptor positive allosteric modulator, attenuates deficits in cognitive flexibility induced by withdrawal from 'binge-like' ethanol exposure in rats. Behav Brain Res 2017; 338:9-16. [PMID: 29030082 DOI: 10.1016/j.bbr.2017.10.007] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Revised: 10/01/2017] [Accepted: 10/09/2017] [Indexed: 11/15/2022]
Abstract
Repeated exposure to and withdrawal from ethanol induces deficits in spatial reversal learning. Data indicate that metabotropic glutamate 5 (mGlu5) receptors are implicated in synaptic plasticity and learning and memory. These receptors functionally interact with N-methyl-d-aspartate (NMDA) receptors, and activation of one type results in the activation of the other. We examined whether (S)-(4-fluorophenyl)(3-(3-(4-fluorophenyl)-1,2,4-oxadiazol-5-yl)-piperidin-1-yl (ADX-47273), a positive allosteric modulator (PAM) of mGlu5 receptor, attenuates deficits in reversal learning induced by withdrawal (11-13days) from 'binge-like' ethanol input (5.0g/kg, i.g. for 5days) in the Barnes maze (a spatial learning) task in rats. We additionally examined the effects of ADX-47273 on the expression of the NMDA receptors subunit, GluN2B, in the hippocampus and prefrontal cortex, on the 13th day of ethanol withdrawal. Herein, withdrawal from repeated ethanol administration impaired reversal learning, but not the probe trial. Moreover, ADX-47273 (30mg/kg, i.p.) given prior to the first reversal learning trial for 3days in the Barnes maze, significantly enhanced performance in the ethanol-treated group. The 13th day of ethanol abstinence decreased the expression of the GluN2B subunit in the selected brain regions, but ADX-47273 administration increased it. In conclusion, positive allosteric modulation of mGlu5 receptors recovered spatial reversal learning impairment induced by withdrawal from 'binge-like' ethanol exposure. Such effect seems to be correlated with the mGlu5 receptors mediated potentiation of GluN2B-NMDA receptor mediated responses in the hippocampus and prefrontal cortex. Thus, our results emphasize the role of mGlu5 receptor PAM in the adaptive learning impaired by ethanol exposure.
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Affiliation(s)
| | - Ewa Gibula-Bruzda
- Department of Pharmacology and Pharmacodynamics, Medical University, Lublin, Poland
| | - Anna Bodzon-Kulakowska
- Department of Biochemistry and Neurobiology, AGH University of Science and Technology, Krakow, Poland
| | - Piotr Suder
- Department of Biochemistry and Neurobiology, AGH University of Science and Technology, Krakow, Poland
| | - Kinga Gawel
- Department of Pharmacology and Pharmacodynamics, Medical University, Lublin, Poland; Department of Experimental and Clinical Pharmacology, Medical University, Lublin, Poland
| | - Sylwia Talarek
- Department of Pharmacology and Pharmacodynamics, Medical University, Lublin, Poland
| | - Joanna Listos
- Department of Pharmacology and Pharmacodynamics, Medical University, Lublin, Poland
| | - Ewa Kedzierska
- Department of Pharmacology and Pharmacodynamics, Medical University, Lublin, Poland
| | | | - Jolanta H Kotlinska
- Department of Pharmacology and Pharmacodynamics, Medical University, Lublin, Poland.
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Murray RM, Englund A, Abi-Dargham A, Lewis DA, Di Forti M, Davies C, Sherif M, McGuire P, D'Souza DC. Cannabis-associated psychosis: Neural substrate and clinical impact. Neuropharmacology 2017. [PMID: 28634109 DOI: 10.1016/j.neuropharm.2017.06.018] [Citation(s) in RCA: 105] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Prospective epidemiological studies have consistently demonstrated that cannabis use is associated with an increased subsequent risk of both psychotic symptoms and schizophrenia-like psychoses. Early onset of use, daily use of high-potency cannabis, and synthetic cannabinoids carry the greatest risk. The risk-increasing effects are not explained by shared genetic predisposition between schizophrenia and cannabis use. Experimental studies in healthy humans show that cannabis and its active ingredient, delta-9-tetrahydrocannabinol (THC), can produce transient, dose-dependent, psychotic symptoms, as well as an array of psychosis-relevant behavioral, cognitive and psychophysiological effects; the psychotogenic effects can be ameliorated by cannabidiol (CBD). Findings from structural imaging studies in cannabis users have been inconsistent but functional MRI studies have linked the psychotomimetic and cognitive effects of THC to activation in brain regions implicated in psychosis. Human PET studies have shown that acute administration of THC weakly releases dopamine in the striatum but that chronic users are characterised by low striatal dopamine. We are beginning to understand how cannabis use impacts on the endocannabinoid system but there is much still to learn about the biological mechanisms underlying how cannabis increases risk of psychosis. This article is part of the Special Issue entitled "A New Dawn in Cannabinoid Neurobiology".
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Affiliation(s)
- R M Murray
- Institute of Psychiatry, Psychology, and Neuroscience, King's College, London, UK.
| | - A Englund
- Institute of Psychiatry, Psychology, and Neuroscience, King's College, London, UK
| | - A Abi-Dargham
- Department of Psychiatry, School of Medicine, Stony Brook University, New York, USA
| | - D A Lewis
- Department of Psychiatry, University of Pittsburg, PA, USA
| | - M Di Forti
- Institute of Psychiatry, Psychology, and Neuroscience, King's College, London, UK
| | - C Davies
- Institute of Psychiatry, Psychology, and Neuroscience, King's College, London, UK
| | - M Sherif
- Department of Psychiatry, Yale University School of Medicine, CT, USA
| | - P McGuire
- Institute of Psychiatry, Psychology, and Neuroscience, King's College, London, UK
| | - D C D'Souza
- Department of Psychiatry, Yale University School of Medicine, CT, USA
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Donadon MF, Osório FDL. Current alcohol dependence and emotional facial expression recognition: a cross-sectional study. ARCH CLIN PSYCHIAT 2017. [DOI: 10.1590/0101-60830000000120] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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Niemeier JP, Leininger SL, Whitney MP, Newman MA, Hirsch MA, Evans SL, Sing RF, Huynh TT, Guerrier TP, Perrin PB. Does history of substance use disorder predict acute traumatic brain injury rehabilitation outcomes? NeuroRehabilitation 2017; 38:371-83. [PMID: 27061165 DOI: 10.3233/nre-161328] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
BACKGROUND/OBJECTIVE The study explored whether premorbid substance use disorder (SUD) predicts acute traumatic brain injury (TBI) outcomes. METHODS 143 participants with moderate (34.2%) and severe (65.8%) TBI were enrolled at two Level 1 trauma center inpatient brain injury rehabilitation units. Acute outcomes were measured with the Disability Rating Scale (DRS), the FIMTM; self and informant ratings of the Patient Competency Rating Scale (PCRS); self and family rating of the Frontal Systems Behavioral Scale (FrSBe), and the Neurobehavioral Rating Scale-Revised (NRS-R). RESULTS Hierarchical linear modeling revealed that SUD history significantly predicted trajectories of PCRS clinician ratings, PCRS self-family and PCRS self-clinician discrepancy scores, and more negative FrSBE family ratings. These findings indicate comparatively greater post-injury executive functions (EF) impairments, particularly self-awareness (SA) of injury-related deficits, for those with SUD history. No significant SUD*time interaction effect was found for FIM or NRS-R scores. CONCLUSIONS SUD history and TBI are associated with impaired SA and EF but their co-occurrence is not a consistent predictor of acute post-injury functional outcomes. Pre-morbid patient characteristics and rater expectations and biases may moderate associations between SA and recovery after TBI.
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Affiliation(s)
- Janet P Niemeier
- Department of Physical Medicine and Rehabilitation, Carolinas Medical Center, Charlotte, NC, USA
| | - Shelley L Leininger
- Department of Neuropsychology, Carolinas Rehabilitation, Carolinas Medical Center, Charlotte, NC, USA
| | - Marybeth P Whitney
- Department of Physical Medicine and Rehabilitation, Carolinas Medical Center, Charlotte, NC, USA
| | - Mark A Newman
- Department of Physical Medicine and Rehabilitation, Carolinas Medical Center, Charlotte, NC, USA
| | - Mark A Hirsch
- Department of Physical Medicine and Rehabilitation, Carolinas Medical Center, Charlotte, NC, USA
| | - Susan L Evans
- Department of Trauma Surgery, Carolinas Medical Center, Charlotte, NC, USA
| | - Ronald F Sing
- Department of Trauma Surgery, Carolinas Medical Center, Charlotte, NC, USA
| | - Toan T Huynh
- Department of Trauma Surgery, Carolinas Medical Center, Charlotte, NC, USA
| | - Tami P Guerrier
- Department of Neuropsychology, Carolinas Rehabilitation, Carolinas Medical Center, Charlotte, NC, USA
| | - Paul B Perrin
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
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Lange EH, Nerland S, Jørgensen KN, Mørch-Johnsen L, Nesvåg R, Hartberg CB, Haukvik UK, Osnes K, Melle I, Andreassen OA, Agartz I. Alcohol use is associated with thinner cerebral cortex and larger ventricles in schizophrenia, bipolar disorder and healthy controls. Psychol Med 2017; 47:655-668. [PMID: 27830632 DOI: 10.1017/s0033291716002920] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Excessive alcohol use is associated with brain damage but less is known about brain effects from moderate alcohol use. Previous findings indicate that patients with severe mental illness, particularly schizophrenia, are vulnerable to alcohol-related brain damage. We investigated the association between levels of alcohol consumption and cortical and subcortical brain structures in schizophrenia and bipolar disorder patients and healthy controls, and investigated for group differences for this association. METHOD 1.5 T structural magnetic resonance images were acquired of 609 alcohol-using participants (165 schizophrenia patients, 172 bipolar disorder patients, 272 healthy controls), mean (s.d.) age 34.2 (9.9) years, 52% men. Past year alcohol use was assessed with the Alcohol Use Disorder Identification Test - Consumption part (AUDIT-C). General linear models were used to investigate associations between AUDIT-C score and cortical thickness, surface area, and total brain and subcortical volumes. RESULTS Increasing AUDIT-C score was linearly associated with thinner cortex in medial and dorsolateral frontal and parieto-occipital regions, and with larger left lateral ventricle volume. There was no significant interaction between AUDIT-C score and diagnostic group. The findings remained significant after controlling for substance use disorders, antipsychotic medication and illness severity. CONCLUSION The results show a dose-dependent relationship between alcohol use and thinner cortex and ventricular expansion. The findings are present also at lower levels of alcohol consumption and do not differ between schizophrenia or bipolar disorder patients compared to healthy controls. Our results do not support previous findings of increased vulnerability for alcohol-related brain damage in severe mental illness.
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Affiliation(s)
- E H Lange
- Department of Psychiatric Research,Diakonhjemmet Hospital,Oslo,Norway
| | - S Nerland
- Department of Psychiatric Research,Diakonhjemmet Hospital,Oslo,Norway
| | - K N Jørgensen
- Department of Psychiatric Research,Diakonhjemmet Hospital,Oslo,Norway
| | - L Mørch-Johnsen
- Department of Psychiatric Research,Diakonhjemmet Hospital,Oslo,Norway
| | - R Nesvåg
- Department of Psychiatric Research,Diakonhjemmet Hospital,Oslo,Norway
| | - C B Hartberg
- NORMENT and K. G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo,Oslo,Norway
| | - U K Haukvik
- Department of Psychiatric Research,Diakonhjemmet Hospital,Oslo,Norway
| | - K Osnes
- Department of Psychiatric Research,Diakonhjemmet Hospital,Oslo,Norway
| | - I Melle
- NORMENT and K. G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo,Oslo,Norway
| | - O A Andreassen
- NORMENT and K. G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo,Oslo,Norway
| | - I Agartz
- Department of Psychiatric Research,Diakonhjemmet Hospital,Oslo,Norway
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Zahr NM, Pfefferbaum A, Sullivan EV. Perspectives on fronto-fugal circuitry from human imaging of alcohol use disorders. Neuropharmacology 2017; 122:189-200. [PMID: 28118989 DOI: 10.1016/j.neuropharm.2017.01.018] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2016] [Revised: 01/18/2017] [Accepted: 01/19/2017] [Indexed: 01/18/2023]
Abstract
Descriptions of the cognitive functions affected by alcohol use disorders (AUD) often highlight dysfunction of executive processes such attention, inhibitory control, working memory, and cognitive flexibility. Such complex cognitive functions have historically been ascribed to the prefrontal cortex. AUD, however, disrupts extensive areas of the brain. Structural and functional MRI studies suggest a central role for degradation of circuitry originating in the prefrontal cortex including nodes in widespread brain regions. This review features fronto-fugal circuits affected by AUD including frontocerebellar, frontolimbic, and frontostriatal networks and their relations to the salient, enduring, and debilitating cognitive and motor deficits reported in AUD. This article is part of the Special Issue entitled "Alcoholism".
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Affiliation(s)
- Natalie M Zahr
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd., Stanford, CA 94305, USA; Neuroscience Department, SRI International, 333 Ravenswood Ave., Menlo Park, CA 94025, USA.
| | - Adolf Pfefferbaum
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd., Stanford, CA 94305, USA; Neuroscience Department, SRI International, 333 Ravenswood Ave., Menlo Park, CA 94025, USA
| | - Edith V Sullivan
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd., Stanford, CA 94305, USA
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Hibar DP, Westlye LT, van Erp TGM, Rasmussen J, Leonardo CD, Faskowitz J, Haukvik UK, Hartberg CB, Doan NT, Agartz I, Dale AM, Gruber O, Krämer B, Trost S, Liberg B, Abé C, Ekman CJ, Ingvar M, Landén M, Fears SC, Freimer NB, Bearden CE, Sprooten E, Glahn DC, Pearlson GD, Emsell L, Kenney J, Scanlon C, McDonald C, Cannon DM, Almeida J, Versace A, Caseras X, Lawrence NS, Phillips ML, Dima D, Delvecchio G, Frangou S, Satterthwaite TD, Wolf D, Houenou J, Henry C, Malt UF, Bøen E, Elvsåshagen T, Young AH, Lloyd AJ, Goodwin GM, Mackay CE, Bourne C, Bilderbeck A, Abramovic L, Boks MP, van Haren NEM, Ophoff RA, Kahn RS, Bauer M, Pfennig A, Alda M, Hajek T, Mwangi B, Soares JC, Nickson T, Dimitrova R, Sussmann JE, Hagenaars S, Whalley HC, McIntosh AM, Thompson PM, Andreassen OA. Subcortical volumetric abnormalities in bipolar disorder. Mol Psychiatry 2016; 21:1710-1716. [PMID: 26857596 PMCID: PMC5116479 DOI: 10.1038/mp.2015.227] [Citation(s) in RCA: 317] [Impact Index Per Article: 39.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2014] [Revised: 12/08/2015] [Accepted: 12/11/2015] [Indexed: 11/29/2022]
Abstract
Considerable uncertainty exists about the defining brain changes associated with bipolar disorder (BD). Understanding and quantifying the sources of uncertainty can help generate novel clinical hypotheses about etiology and assist in the development of biomarkers for indexing disease progression and prognosis. Here we were interested in quantifying case-control differences in intracranial volume (ICV) and each of eight subcortical brain measures: nucleus accumbens, amygdala, caudate, hippocampus, globus pallidus, putamen, thalamus, lateral ventricles. In a large study of 1710 BD patients and 2594 healthy controls, we found consistent volumetric reductions in BD patients for mean hippocampus (Cohen's d=-0.232; P=3.50 × 10-7) and thalamus (d=-0.148; P=4.27 × 10-3) and enlarged lateral ventricles (d=-0.260; P=3.93 × 10-5) in patients. No significant effect of age at illness onset was detected. Stratifying patients based on clinical subtype (BD type I or type II) revealed that BDI patients had significantly larger lateral ventricles and smaller hippocampus and amygdala than controls. However, when comparing BDI and BDII patients directly, we did not detect any significant differences in brain volume. This likely represents similar etiology between BD subtype classifications. Exploratory analyses revealed significantly larger thalamic volumes in patients taking lithium compared with patients not taking lithium. We detected no significant differences between BDII patients and controls in the largest such comparison to date. Findings in this study should be interpreted with caution and with careful consideration of the limitations inherent to meta-analyzed neuroimaging comparisons.
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Affiliation(s)
- D P Hibar
- Imaging Genetics Center, University of Southern California, Los Angeles, CA, USA
| | - L T Westlye
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - T G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - J Rasmussen
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - C D Leonardo
- Imaging Genetics Center, University of Southern California, Los Angeles, CA, USA
| | - J Faskowitz
- Imaging Genetics Center, University of Southern California, Los Angeles, CA, USA
| | - U K Haukvik
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - C B Hartberg
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
| | - N T Doan
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
| | - I Agartz
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - A M Dale
- MMIL, Department of Radiology, University of California, San Diego, CA, USA
- Department of Cognitive Science, Neurosciences and Psychiatry, University of California, San Diego, CA, USA
| | - O Gruber
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, Georg August University Goettingen, Goettingen, Germany
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - B Krämer
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, Georg August University Goettingen, Goettingen, Germany
| | - S Trost
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, Georg August University Goettingen, Goettingen, Germany
| | - B Liberg
- Department of Clinical Neuroscience, Section of Psychiatry, Karolinska Institutet, Stockholm, Sweden
| | - C Abé
- Osher Center for Integrative Medicine, Karolinska Institutet, Stockholm, Sweden
| | - C J Ekman
- Department of Clinical Neuroscience, Section of Psychiatry, Karolinska Institutet, Stockholm, Sweden
| | - M Ingvar
- Osher Center for Integrative Medicine, Karolinska Institutet, Stockholm, Sweden
- Karolinska MR Research Center, Karolinska Institutet, Stockholm, Sweden
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - M Landén
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - S C Fears
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
- Center for Neurobehavioral Genetics, University of California, Los Angeles, CA, USA
| | - N B Freimer
- Center for Neurobehavioral Genetics, University of California, Los Angeles, CA, USA
| | - C E Bearden
- Center for Neurobehavioral Genetics, University of California, Los Angeles, CA, USA
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Department of Psychology, University of California, Los Angeles, CA, USA
| | - the Costa Rica/Colombia Consortium for Genetic Investigation of Bipolar Endophenotypes
- Imaging Genetics Center, University of Southern California, Los Angeles, CA, USA
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- MMIL, Department of Radiology, University of California, San Diego, CA, USA
- Department of Cognitive Science, Neurosciences and Psychiatry, University of California, San Diego, CA, USA
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, Georg August University Goettingen, Goettingen, Germany
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
- Department of Clinical Neuroscience, Section of Psychiatry, Karolinska Institutet, Stockholm, Sweden
- Osher Center for Integrative Medicine, Karolinska Institutet, Stockholm, Sweden
- Karolinska MR Research Center, Karolinska Institutet, Stockholm, Sweden
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
- Center for Neurobehavioral Genetics, University of California, Los Angeles, CA, USA
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Department of Psychology, University of California, Los Angeles, CA, USA
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford, CT, USA
- Department of Neurobiology, Yale University School of Medicine, New Haven, CT, USA
- Clinical Neuroimaging Laboratory, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
- Department of Psychiatry, Brown University, Providence, RI, USA
- Department of Psychiatry, University of Pittsburgh, Western Psychiatric Institute and Clinic, Pittsburgh, PA, USA
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- School of Psychology, University of Exeter, Exeter, UK
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Neurospin, Uniact, I2BM, CEA Saclay, Saclay, France
- Inserm, U955, Equipe 15 Psychiatrie génétique, Créteil, France
- Université Paris-Est, UMR-S955, UPEC, Créteil, France
- Department of Psychosomatic Medicine, Oslo University Hospital—Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Research and Education, Oslo University Hospital, Oslo, Norway
- Norwegian Research Network On Mood Disorders, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
- Centre for Affective Disorders, King's College London, London, UK
- Academic Psychiatry and Regional Affective Disorders Service, Newcastle University, Newcastle, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
- Department of Psychology and Counselling, Newman University, Birmingham, UK
- University of Oxford Centre for Clinical Magnetic Resonance Research, Oxford, UK
- Department of Psychiatry, University Medical Centre Utrecht - Brain Centre Rudolf Magnus, Utrecht, The Netherlands
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Medizinische Fakultät, Technische Universität Dresden, Dresden, Germany
- Department of Psychiatry, Dalhousie University, Halifax, Canada
- National Institute of Mental Health, Klecany, Czech Republic
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, UT Houston Medical School, Houston, TX, USA
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - E Sprooten
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford, CT, USA
| | - D C Glahn
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford, CT, USA
| | - G D Pearlson
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford, CT, USA
- Department of Neurobiology, Yale University School of Medicine, New Haven, CT, USA
| | - L Emsell
- Clinical Neuroimaging Laboratory, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - J Kenney
- Clinical Neuroimaging Laboratory, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - C Scanlon
- Clinical Neuroimaging Laboratory, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - C McDonald
- Clinical Neuroimaging Laboratory, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - D M Cannon
- Clinical Neuroimaging Laboratory, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - J Almeida
- Department of Psychiatry, Brown University, Providence, RI, USA
| | - A Versace
- Department of Psychiatry, University of Pittsburgh, Western Psychiatric Institute and Clinic, Pittsburgh, PA, USA
| | - X Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - N S Lawrence
- School of Psychology, University of Exeter, Exeter, UK
| | - M L Phillips
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - D Dima
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - G Delvecchio
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - S Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - T D Satterthwaite
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - D Wolf
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - J Houenou
- Neurospin, Uniact, I2BM, CEA Saclay, Saclay, France
- Inserm, U955, Equipe 15 Psychiatrie génétique, Créteil, France
| | - C Henry
- Inserm, U955, Equipe 15 Psychiatrie génétique, Créteil, France
- Université Paris-Est, UMR-S955, UPEC, Créteil, France
| | - U F Malt
- Department of Psychosomatic Medicine, Oslo University Hospital—Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Research and Education, Oslo University Hospital, Oslo, Norway
| | - E Bøen
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Department of Psychosomatic Medicine, Oslo University Hospital—Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Norwegian Research Network On Mood Disorders, Oslo, Norway
| | - T Elvsåshagen
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
- Department of Psychosomatic Medicine, Oslo University Hospital—Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - A H Young
- Centre for Affective Disorders, King's College London, London, UK
| | - A J Lloyd
- Academic Psychiatry and Regional Affective Disorders Service, Newcastle University, Newcastle, UK
| | - G M Goodwin
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - C E Mackay
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - C Bourne
- Department of Psychiatry, University of Oxford, Oxford, UK
- Department of Psychology and Counselling, Newman University, Birmingham, UK
| | - A Bilderbeck
- Department of Psychiatry, University of Oxford, Oxford, UK
- University of Oxford Centre for Clinical Magnetic Resonance Research, Oxford, UK
| | - L Abramovic
- Department of Psychiatry, University Medical Centre Utrecht - Brain Centre Rudolf Magnus, Utrecht, The Netherlands
| | - M P Boks
- Department of Psychiatry, University Medical Centre Utrecht - Brain Centre Rudolf Magnus, Utrecht, The Netherlands
| | - N E M van Haren
- Department of Psychiatry, University Medical Centre Utrecht - Brain Centre Rudolf Magnus, Utrecht, The Netherlands
| | - R A Ophoff
- Center for Neurobehavioral Genetics, University of California, Los Angeles, CA, USA
- Department of Psychiatry, University Medical Centre Utrecht - Brain Centre Rudolf Magnus, Utrecht, The Netherlands
| | - R S Kahn
- Department of Psychiatry, University Medical Centre Utrecht - Brain Centre Rudolf Magnus, Utrecht, The Netherlands
| | - M Bauer
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Medizinische Fakultät, Technische Universität Dresden, Dresden, Germany
| | - A Pfennig
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Medizinische Fakultät, Technische Universität Dresden, Dresden, Germany
| | - M Alda
- Department of Psychiatry, Dalhousie University, Halifax, Canada
| | - T Hajek
- Department of Psychiatry, Dalhousie University, Halifax, Canada
- National Institute of Mental Health, Klecany, Czech Republic
| | - B Mwangi
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, UT Houston Medical School, Houston, TX, USA
| | - J C Soares
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, UT Houston Medical School, Houston, TX, USA
| | - T Nickson
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - R Dimitrova
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - J E Sussmann
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - S Hagenaars
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - H C Whalley
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - P M Thompson
- Imaging Genetics Center, University of Southern California, Los Angeles, CA, USA
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - O A Andreassen
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
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Zois E, Vollstädt-Klein S, Hoffmann S, Reinhard I, Bach P, Charlet K, Beck A, Treutlein J, Frank J, Jorde A, Kirsch M, Degenhardt F, Walter H, Heinz A, Kiefer F. GATA4 variant interaction with brain limbic structure and relapse risk: A voxel-based morphometry study. Eur Neuropsychopharmacol 2016; 26:1431-1437. [PMID: 27397865 DOI: 10.1016/j.euroneuro.2016.06.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2016] [Revised: 05/25/2016] [Accepted: 06/18/2016] [Indexed: 01/08/2023]
Abstract
Atrial natriuretic peptide (ANP) receptors are highly expressed in the amygdala, caudate and hypothalamus. GATA4 gene encodes a transcription factor of ANP associated with the pathophysiology of alcohol dependence. We have previously demonstrated that the GATA4 single nucleotide polymorphism (SNP) rs13273672 revealed stronger alcohol-specific amygdala activation associated with lowered relapse risk to heavy drinking at 90 days in the AA-homozygotes. Our understanding however with respect to GATA4 variation on gray matter (GM) regional amygdala, caudate and hypothalamus volume is limited. We investigated GM differences specific to GATA4 and hypothesized that GM alterations will be predictive of heavy relapse. Eighty-three recently detoxified alcohol dependent patients were included. Neuroimaging data was analyzed using Voxel Based Morphometry (VBM). The main effects of GM volume and genotype as well as their interaction effect on time to heavy relapse (60 and 90 days) were analyzed using cox regression. Significant higher GM volume was found for the AA-genotype group compared with AG/GG-genotype in the hypothalamus and caudate. A significant interaction was revealed between caudate and amygdala GM volume and GATA4 genotype on time to heavy relapse. The interaction was expressed by means of higher GM in the AA genotype group to be associated with reduced risk to relapse whereas in the AG/GG group higher GM was associated with increased risk to relapse. This is the first report on GM regional volume alterations specific to GATA4 genotype [(SNP) rs13273672] and its association with relapse in alcohol dependence. Current findings further support the role of GATA4 in alcoholism.
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Affiliation(s)
- Evangelos Zois
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany.
| | - Sabine Vollstädt-Klein
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Sabine Hoffmann
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Iris Reinhard
- Department of Biostatistics, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Patrick Bach
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Katrin Charlet
- Department of Psychiatry and Psychotherapy, Charité, University Medicine, Campus Mitte, Berlin, Germany
| | - Anne Beck
- Department of Psychiatry and Psychotherapy, Charité, University Medicine, Campus Mitte, Berlin, Germany
| | - Jens Treutlein
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/University Heidelberg, Mannheim, Germany
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/University Heidelberg, Mannheim, Germany
| | - Anne Jorde
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Martina Kirsch
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | | | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Charité, University Medicine, Campus Mitte, Berlin, Germany
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Charité, University Medicine, Campus Mitte, Berlin, Germany
| | - Falk Kiefer
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
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Zahr NM. Structural and microstructral imaging of the brain in alcohol use disorders. HANDBOOK OF CLINICAL NEUROLOGY 2016; 125:275-90. [PMID: 25307581 DOI: 10.1016/b978-0-444-62619-6.00017-3] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Magnetic resonance imaging (MRI), by enabling rigorous in vivo study of the longitudinal, dynamic course of alcoholism through periods of drinking, sobriety, and relapse, has enabled characterization of the effects of chronic alcoholism on the brain in the human condition. Importantly, MRI has distinguished alcohol-related brain effects that are permanent versus those that are reversible with abstinence. In support of postmortem neuropathologic studies showing degeneration of white matter, MRI has shown a specific vulnerability of brain white matter to chronic alcohol exposure by demonstrating white-matter volume deficits, yet not leaving selective gray-matter structures unscathed. Diffusion tensor imaging (DTI), by permitting microstructural characterization of white matter, has extended MRI findings in alcoholics. This review focuses on MRI and DTI findings in common concomitants of alcoholism, including Wernicke's encephalopathy, Korsakoff's syndrome, hepatic encephalopathy, central pontine myelinolysis, alcoholic cerebellar degeneration, alcoholic dementia, and Marchiafava-Bignami disease as a framework for findings in so-called "uncomplicated alcoholism," and also covers findings in abstinence and relapse.
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Affiliation(s)
- Natalie M Zahr
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA; Neuroscience Program, SRI International, Menlo Park, CA, USA.
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37
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Sorg SF, Squeglia LM, Taylor MJ, Alhassoon OM, Delano-Wood LM, Grant I. Effects of aging on frontal white matter microstructure in alcohol use disorder and associations with processing speed. J Stud Alcohol Drugs 2016; 76:296-306. [PMID: 25785805 DOI: 10.15288/jsad.2015.76.296] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVE The number of older adults with alcohol use disorder (AUD) is expected to significantly increase in the coming years. Both aging and AUD have been associated with compromised white matter microstructure, although the extent of combined AUD and aging effects is unclear. This study investigated interactions between aging and AUD in cerebral white matter integrity using diffusion tensor imaging (DTI). METHOD All participants (44 recently detoxified participants with AUD and 28 healthy controls; ages 31-64 years) completed neurocognitive testing and a DTI scan. Regions of interests were identified on Tract-Based Spatial Statistics images. Hierarchical multiple regression was used to examine interactions between age and AUD status on DTI values [e.g., fractional anisotropy (FA)]. RESULTS Significant Age × AUD interactions were found across several prefrontal white matter regions (R(2)Δ = 5%-9%). Regional FA was negatively associated with age in the AUD group (rs = -.33 - -.53) but not in the control group (rs = .18 - -.32). This pattern remained after adjusting for lifetime history of drinking and recent drinking. Lifetime alcohol consumption negatively correlated with frontal white matter integrity in the AUD group (rs = -.33 - -.40). Finally, processing speed was significantly slower in the AUD group versus controls (p = .001) and was positively correlated with FA values in frontal white matter regions (rs = .34-.53). CONCLUSIONS Cumulative alcohol consumption may affect frontal white matter integrity, and persons with AUD may be more prone to reductions in frontal white matter integrity with advancing age. These reductions in frontal white matter integrity may contribute to reductions in processing speed.
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Affiliation(s)
- Scott F Sorg
- Veterans Affairs San Diego Healthcare System, La Jolla, California, Department of Psychiatry, University of California, San Diego, La Jolla, California
| | - Lindsay M Squeglia
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina
| | - Michael J Taylor
- Veterans Affairs San Diego Healthcare System, La Jolla, California, Department of Psychiatry, University of California, San Diego, La Jolla, California
| | - Omar M Alhassoon
- Department of Psychiatry, University of California, San Diego, La Jolla, California, California School of Professional Psychology, San Diego, California
| | - Lisa M Delano-Wood
- Veterans Affairs San Diego Healthcare System, La Jolla, California, Department of Psychiatry, University of California, San Diego, La Jolla, California
| | - Igor Grant
- Veterans Affairs San Diego Healthcare System, La Jolla, California, Department of Psychiatry, University of California, San Diego, La Jolla, California
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38
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Norman LR, Basso M. An Update of the Review of Neuropsychological Consequences of HIV and Substance Abuse: A Literature Review and Implications for Treatment and Future Research. ACTA ACUST UNITED AC 2016; 8:50-71. [PMID: 25751583 DOI: 10.2174/1874473708666150309124820] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2014] [Revised: 03/04/2015] [Accepted: 03/05/2015] [Indexed: 12/14/2022]
Abstract
Neuropyschological dysfunction, ranging from mild cerebral indicators to dementia has been a consistent part of the medical picture of HIV/AIDS. However, advances in medical supervision, particularly as a result of antiretroviral (ARV) treatment, have resulted in some mitigation of the neuropsychological effects of HIV and necessitate re-evaluation of the pattern and nature of HIV-related cognitive or mental deficits. The associated enhancements in morbidity and mortality that have occurred as a result of ARV medication have led to a need for interventions and programs that maintain behaviors that are healthy and stop the resurgence of the risk of HIV transmission. Risk factors such as mental illness and substance use that may have contributed to the initial infection with HIV still need consideration. These risk factors may also increase neuropsychological dysfunction and impact observance of prevention for treatment and recommendations. Explicitly, a better comprehension of the role of substance use on the progression of HIV-related mental decline can enlighten management and evaluation of persons living with HIV with concurrent disorders of substance use. This review provides a summary of the neurophyschology of substance use and HIV and the existing research that has looked at the effects of both substance use and HIV disease on neurophyscological function and suggestions for future research and treatment.
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Affiliation(s)
- Lisa R Norman
- Public Health Program, Ponce School of Medicine, Ponce, PR 00732, USA.
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Mackey S, Kan KJ, Chaarani B, Alia-Klein N, Batalla A, Brooks S, Cousijn J, Dagher A, de Ruiter M, Desrivieres S, Feldstein Ewing SW, Goldstein RZ, Goudriaan AE, Heitzeg MM, Hutchison K, Li CSR, London ED, Lorenzetti V, Luijten M, Martin-Santos R, Morales AM, Paulus MP, Paus T, Pearlson G, Schluter R, Momenan R, Schmaal L, Schumann G, Sinha R, Sjoerds Z, Stein DJ, Stein EA, Solowij N, Tapert S, Uhlmann A, Veltman D, van Holst R, Walter H, Wright MJ, Yucel M, Yurgelun-Todd D, Hibar DP, Jahanshad N, Thompson PM, Glahn DC, Garavan H, Conrod P. Genetic imaging consortium for addiction medicine: From neuroimaging to genes. PROGRESS IN BRAIN RESEARCH 2015; 224:203-23. [PMID: 26822360 PMCID: PMC4820288 DOI: 10.1016/bs.pbr.2015.07.026] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Since the sample size of a typical neuroimaging study lacks sufficient statistical power to explore unknown genomic associations with brain phenotypes, several international genetic imaging consortia have been organized in recent years to pool data across sites. The challenges and achievements of these consortia are considered here with the goal of leveraging these resources to study addiction. The authors of this review have joined together to form an Addiction working group within the framework of the ENIGMA project, a meta-analytic approach to multisite genetic imaging data. Collectively, the Addiction working group possesses neuroimaging and genomic data obtained from over 10,000 subjects. The deadline for contributing data to the first round of analyses occurred at the beginning of May 2015. The studies performed on this data should significantly impact our understanding of the genetic and neurobiological basis of addiction.
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Affiliation(s)
- Scott Mackey
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA.
| | - Kees-Jan Kan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA
| | - Bader Chaarani
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA
| | - Nelly Alia-Klein
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Albert Batalla
- Department of Psychiatry and Psychology, Hospital Clínic, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain; Department of Psychiatry, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Samantha Brooks
- Department of Psychiatry and MRC Unit on Anxiety & Stress Disorders, University of Cape Town, Cape Town, South Africa
| | - Janna Cousijn
- Department of Psychiatry and MRC Unit on Anxiety & Stress Disorders, University of Cape Town, Cape Town, South Africa
| | - Alain Dagher
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Michiel de Ruiter
- Department of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | | | - Rita Z Goldstein
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Anna E Goudriaan
- Department of Psychiatry and MRC Unit on Anxiety & Stress Disorders, University of Cape Town, Cape Town, South Africa; Department of Psychiatry, University of Amsterdam, Amsterdam, The Netherlands
| | - Mary M Heitzeg
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Kent Hutchison
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Edythe D London
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA
| | - Valentina Lorenzetti
- School of Psychological Sciences, Monash Institute of Cognitive and Clinical Neurosciences and Monash Biomedical Imaging, Monash University, Melbourne, Australia
| | - Maartje Luijten
- Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands
| | - Rocio Martin-Santos
- Department of Psychiatry and Psychology, Hospital Clínic, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain
| | - Angelica M Morales
- David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA
| | - Martin P Paulus
- VA San Diego Healthcare System and Department of Psychiatry, University of California San Diego, La Jolla, CA, USA; Laureate Institute for Brain Research, Tulsa, OK, USA
| | - Tomas Paus
- Rotman Research Institute, University of Toronto, Toronto, ON, Canada
| | - Godfrey Pearlson
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Renée Schluter
- Department of Psychiatry, University of Amsterdam, Amsterdam, The Netherlands
| | - Reza Momenan
- Section on Brain Electrophysiology and Imaging, Institute on Alcohol Abuse and Alcoholism, Bethesda, USA
| | - Lianne Schmaal
- Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands
| | | | - Rajita Sinha
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Zsuzsika Sjoerds
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Dan J Stein
- Department of Psychiatry and MRC Unit on Anxiety & Stress Disorders, University of Cape Town, Cape Town, South Africa
| | - Elliot A Stein
- Intramural Research Program-Neuroimaging Research Branch, National Institute on Drug Abuse, Baltimore, MD, USA
| | - Nadia Solowij
- School of Psychology, University of Wollongong, Wollongong, NSW, Australia
| | - Susan Tapert
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - Anne Uhlmann
- Department of Psychiatry and MRC Unit on Anxiety & Stress Disorders, University of Cape Town, Cape Town, South Africa
| | - Dick Veltman
- Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands
| | - Ruth van Holst
- Department of Psychiatry, University of Amsterdam, Amsterdam, The Netherlands
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Charité Universitatsmedizin, Berlin, Germany
| | | | - Murat Yucel
- School of Psychological Sciences, Monash Institute of Cognitive and Clinical Neurosciences and Monash Biomedical Imaging, Monash University, Melbourne, Australia
| | - Deborah Yurgelun-Todd
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Derrek P Hibar
- Department of Neurology, Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Neda Jahanshad
- Department of Neurology, Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Paul M Thompson
- Department of Neurology, Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - David C Glahn
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA
| | - Patricia Conrod
- Department of Psychiatry, Université de Montreal, CHU Ste Justine Hospital, Montreal, QC, Canada
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40
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Abnormal reward functioning across substance use disorders and major depressive disorder: Considering reward as a transdiagnostic mechanism. Int J Psychophysiol 2015; 98:227-239. [DOI: 10.1016/j.ijpsycho.2015.01.011] [Citation(s) in RCA: 79] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2014] [Revised: 01/23/2015] [Accepted: 01/26/2015] [Indexed: 01/20/2023]
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41
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Alhassoon OM, Sorg SF, Stern MJ, Hall MG, Wollman SC. Neuroimaging in alcohol-use disorders: clinical implications and future directions. FUTURE NEUROLOGY 2015. [DOI: 10.2217/fnl.15.17] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Advances in clinical research have led to significant alterations in diagnostic criteria for alcohol-use disorders (AUD). Neuroimaging techniques are now being called upon to shed light on the validity and clinical utility of diagnostic criteria. For example, craving has recently been added to the diagnostic criteria of AUD based mainly on neurobiological research. In addition to understanding the nuances of the craving process, neuroimaging techniques are helping determine the biological factors that contribute to the onset and maintenance of the disorder and offer insight into the mechanisms underlying treatment. The purpose of this review is to provide a clinically relevant summary of the neuroimaging research that has impacted our understanding of the etiology, treatment and recovery in AUD.
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Affiliation(s)
- Omar M Alhassoon
- California School of Professional Psychology, Clinical Psychology PhD Program, 10455 Pomerado Road, San Diego, CA 92131, USA
- Department of Psychiatry, University of California, 9500 Gilman Dr, La Jolla, San Diego, CA 92093, USA
| | - Scott F Sorg
- Department of Psychiatry, University of California, 9500 Gilman Dr, La Jolla, San Diego, CA 92093, USA
| | - Mark J Stern
- California School of Professional Psychology, Clinical Psychology PhD Program, 10455 Pomerado Road, San Diego, CA 92131, USA
| | - Matthew G Hall
- California School of Professional Psychology, Clinical Psychology PhD Program, 10455 Pomerado Road, San Diego, CA 92131, USA
| | - Scott C Wollman
- California School of Professional Psychology, Clinical Psychology PhD Program, 10455 Pomerado Road, San Diego, CA 92131, USA
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Maurage F, de Timary P, Tecco JM, Lechantre S, Samson D. Theory of Mind Difficulties in Patients with Alcohol Dependence: Beyond the Prefrontal Cortex Dysfunction Hypothesis. Alcohol Clin Exp Res 2015; 39:980-8. [DOI: 10.1111/acer.12717] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2014] [Accepted: 02/27/2015] [Indexed: 11/28/2022]
Affiliation(s)
- François Maurage
- Université catholique de Louvain (FM, PdT, DS); Louvain-la-Neuve Belgium
- Centre Hospitalier Universitaire (FM, JMT, SL); Chêne aux Haies, Ambroise Paré; Mons Belgium
| | - Philippe de Timary
- Université catholique de Louvain (FM, PdT, DS); Louvain-la-Neuve Belgium
| | - Juan Martin Tecco
- Centre Hospitalier Universitaire (FM, JMT, SL); Chêne aux Haies, Ambroise Paré; Mons Belgium
| | - Stéphane Lechantre
- Centre Hospitalier Universitaire (FM, JMT, SL); Chêne aux Haies, Ambroise Paré; Mons Belgium
| | - Dana Samson
- Université catholique de Louvain (FM, PdT, DS); Louvain-la-Neuve Belgium
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Abstract
Recent research has suggested that marijuana use is associated with volumetric and shape differences in subcortical structures, including the nucleus accumbens and amygdala, in a dose-dependent fashion. Replication of such results in well controlled studies is essential to clarify the effects of marijuana. To that end, this retrospective study examined brain morphology in a sample of adult daily marijuana users (n = 29) versus nonusers (n = 29) and a sample of adolescent daily users (n = 50) versus nonusers (n = 50). Groups were matched on a critical confounding variable, alcohol use, to a far greater degree than in previously published studies. We acquired high-resolution MRI scans, and investigated group differences in gray matter using voxel-based morphometry, surface-based morphometry, and shape analysis in structures suggested to be associated with marijuana use, as follows: the nucleus accumbens, amygdala, hippocampus, and cerebellum. No statistically significant differences were found between daily users and nonusers on volume or shape in the regions of interest. Effect sizes suggest that the failure to find differences was not due to a lack of statistical power, but rather was due to the lack of even a modest effect. In sum, the results indicate that, when carefully controlling for alcohol use, gender, age, and other variables, there is no association between marijuana use and standard volumetric or shape measurements of subcortical structures.
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Navarro AI, Mandyam CD. Protracted abstinence from chronic ethanol exposure alters the structure of neurons and expression of oligodendrocytes and myelin in the medial prefrontal cortex. Neuroscience 2015; 293:35-44. [PMID: 25732140 DOI: 10.1016/j.neuroscience.2015.02.043] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2014] [Revised: 02/05/2015] [Accepted: 02/21/2015] [Indexed: 10/23/2022]
Abstract
In rodents, chronic intermittent ethanol vapor exposure (CIE) produces alcohol dependence, alters the structure and activity of pyramidal neurons and decreases the number of oligodendroglial progenitors in the medial prefrontal cortex (mPFC). In this study, adult Wistar rats were exposed to seven weeks of CIE and were withdrawn from CIE for 21 days (protracted abstinence; PA). Tissue enriched in the mPFC was processed for Western blot analysis and Golgi-Cox staining to investigate the long-lasting effects of CIE on the structure of mPFC neurons and the levels of myelin-associated proteins. PA increased dendritic arborization within apical dendrites of pyramidal neurons. These changes occurred concurrently with hypophosphorylation of the N-methyl-d-aspartate (NMDA) receptor 2B (NR2B) at Tyr-1472. PA increased myelin basic protein (MBP) levels which occurred concurrently with hypophosphorylation of the premyelinating oligodendrocyte bHLH transcription factor Olig2 in the mPFC. Given that PA is associated with increased sensitivity to stress and hypothalamic-pituitary-adrenal (HPA) axis dysregulation, and stress alters oligodendrocyte expression as a function of glucocorticoid receptor (GR) activation, the levels of total GR and phosphorylated GR were also evaluated. PA produced hypophosphorylation of the GR at Ser-232 without affecting expression of total protein. These findings demonstrate persistent and compensatory effects of ethanol in the mPFC long after cessation of CIE, including enhanced myelin production and impaired GR function. Collectively, these results suggest a novel relationship between oligodendrocytes and GR in the mPFC, in which stress may alter frontal cortex function in alcohol dependent subjects by promoting hypermyelination, thereby altering the cellular composition and white matter structure in the mPFC.
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Affiliation(s)
- A I Navarro
- Committee on the Neurobiology of Addictive Disorders, The Scripps Research Institute, La Jolla, CA, USA
| | - C D Mandyam
- Committee on the Neurobiology of Addictive Disorders, The Scripps Research Institute, La Jolla, CA, USA.
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45
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Roux A, Muller L, Jackson SN, Baldwin K, Womack V, Pagiazitis JG, O’Rourke JR, Thanos PK, Balaban C, Schultz JA, Volkow ND, Woods AS. Chronic ethanol consumption profoundly alters regional brain ceramide and sphingomyelin content in rodents. ACS Chem Neurosci 2015; 6:247-59. [PMID: 25387107 PMCID: PMC4372063 DOI: 10.1021/cn500174c] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
![]()
Ceramides
(CER) are involved in alcohol-induced neuroinflammation.
In a mouse model of chronic alcohol exposure, 16 CER and 18 sphingomyelin
(SM) concentrations from whole brain lipid extracts were measured
using electrospray mass spectrometry. All 18 CER concentrations in
alcohol exposed adults increased significantly (range: 25–607%);
in juveniles, 6 CER decreased (range: −9 to −37%). In
contrast, only three SM decreased in adult and one increased significantly
in juvenile. Next, regional identification at 50 μm spatial
resolution from coronal sections was obtained with matrix implanted
laser desorption/ionization mass spectrometry imaging (MILDI-MSI)
by implanting silver nanoparticulate matrices followed by focused
laser desorption. Most of the CER and SM quantified in whole brain
extracts were detected in MILDI images. Coronal sections from three
brain levels show qualitative regional changes in CER-SM ion intensities,
as a function of group and brain region, in cortex, striatum, accumbens,
habenula, and hippocampus. Highly correlated changes in certain white
matter CER-SM pairs occur in regions across all groups, including
the hippocampus and the lateral (but not medial) cerebellar cortex
of adult mice. Our data provide the first microscale MS evidence of
regional lipid intensity variations induced by alcohol.
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Affiliation(s)
- Aurelie Roux
- Structural Biology Unit, NIDA IRP, NIH, Baltimore, Maryland 21224, United States
| | - Ludovic Muller
- Structural Biology Unit, NIDA IRP, NIH, Baltimore, Maryland 21224, United States
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States
| | - Shelley N. Jackson
- Structural Biology Unit, NIDA IRP, NIH, Baltimore, Maryland 21224, United States
| | - Katherine Baldwin
- Structural Biology Unit, NIDA IRP, NIH, Baltimore, Maryland 21224, United States
| | - Virginia Womack
- Structural Biology Unit, NIDA IRP, NIH, Baltimore, Maryland 21224, United States
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States
| | - John G. Pagiazitis
- Behavioral Neuropharmacology and Neuroimaging Lab, Department of Psychology, Stony Brook University, Stony Brook, New York 11790, United States
| | - Joseph R. O’Rourke
- Behavioral Neuropharmacology and Neuroimaging Lab, Department of Psychology, Stony Brook University, Stony Brook, New York 11790, United States
| | - Panayotis K. Thanos
- Behavioral Neuropharmacology and Neuroimaging Lab, Department of Psychology, Stony Brook University, Stony Brook, New York 11790, United States
| | - Carey Balaban
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States
| | | | - Nora D. Volkow
- Structural Biology Unit, NIDA IRP, NIH, Baltimore, Maryland 21224, United States
| | - Amina S. Woods
- Structural Biology Unit, NIDA IRP, NIH, Baltimore, Maryland 21224, United States
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Bhandage AK, Jin Z, Bazov I, Kononenko O, Bakalkin G, Korpi ER, Birnir B. GABA-A and NMDA receptor subunit mRNA expression is altered in the caudate but not the putamen of the postmortem brains of alcoholics. Front Cell Neurosci 2014; 8:415. [PMID: 25538565 PMCID: PMC4257153 DOI: 10.3389/fncel.2014.00415] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2014] [Accepted: 11/15/2014] [Indexed: 01/16/2023] Open
Abstract
Chronic consumption of alcohol by humans has been shown to lead to impairment of executive and cognitive functions. Here, we have studied the mRNA expression of ion channel receptors for glutamate and GABA in the dorsal striatum of post-mortem brains from alcoholics (n = 29) and normal controls (n = 29), with the focus on the caudate nucleus that is associated with the frontal cortex executive functions and automatic thinking and on the putamen area that is linked to motor cortices and automatic movements. The results obtained by qPCR assay revealed significant changes in the expression of specific excitatory ionotropic glutamate and inhibitory GABA-A receptor subunit genes in the caudate but not the putamen. Thus, in the caudate we found reduced levels of mRNAs encoding the GluN2A glutamate receptor and the δ, ε, and ρ2 GABA-A receptor subunits, and increased levels of the mRNAs encoding GluD1, GluD2, and GABA-A γ1 subunits in the alcoholics as compared to controls. Interestingly in the controls, 11 glutamate and 5 GABA-A receptor genes were more prominently expressed in the caudate than the putamen (fold-increase varied from 1.24 to 2.91). Differences in gene expression patterns between the striatal regions may underlie differences in associated behavioral outputs. Our results suggest an altered balance between caudate-mediated voluntarily controlled and automatic behaviors in alcoholics, including diminished executive control on goal-directed alcohol-seeking behavior.
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Affiliation(s)
- Amol K Bhandage
- Molecular Physiology and Neuroscience, Biomedical Center, Uppsala University Uppsala, Sweden
| | - Zhe Jin
- Molecular Physiology and Neuroscience, Biomedical Center, Uppsala University Uppsala, Sweden
| | - Igor Bazov
- Pharmacology, Institute of Biomedicine, University of Helsinki Helsinki, Finland
| | - Olga Kononenko
- Pharmacology, Institute of Biomedicine, University of Helsinki Helsinki, Finland
| | - Georgy Bakalkin
- Pharmacology, Institute of Biomedicine, University of Helsinki Helsinki, Finland
| | - Esa R Korpi
- Department of Pharmaceutical Bioscience (Biological Research on Drug Dependence), Biomedical Center, Uppsala University Uppsala, Sweden
| | - Bryndis Birnir
- Molecular Physiology and Neuroscience, Biomedical Center, Uppsala University Uppsala, Sweden
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47
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Preti A, Muscio C, Boccardi M, Lorenzi M, de Girolamo G, Frisoni G. Impact of alcohol consumption in healthy adults: a magnetic resonance imaging investigation. Psychiatry Res 2014; 224:96-103. [PMID: 25172407 DOI: 10.1016/j.pscychresns.2014.06.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2013] [Revised: 02/17/2014] [Accepted: 06/22/2014] [Indexed: 02/05/2023]
Abstract
The impact of alcohol on brain morphology was studied in a large group of cognitively intact people whose consumption of alcohol was below the threshold for abuse. Participants were 367 healthy subjects, aged 18 years or older, who underwent magnetic resonance imaging (MRI) for reasons other than cognitive impairment. MRI analyses were carried out using SPM8 software on the MATLAB 7.9 platform. Gray matter (GM) and white matter (WM) volumes were normalized for intracranial volume. Participants were interviewed about their lifetime consumption of alcohol, nicotine and other available illicit substances. Direct WM and GM comparisons between alcohol users and non-users did not detect significant differences. Differences also did not emerge from multiple regression analyses or in the subgroup aged 65 or older. Based on this study's findings, we cannot infer a detrimental effect of alcohol on the brain of normal adults. These data may be considered to provide reference information for clinical studies.
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Affiliation(s)
- Antonio Preti
- Genneruxi Medical Center, Cagliari, Italy; IRCCS Centro San Giovanni di Dio-Fatebenefratelli, via Pilastroni 4, 20125 Brescia, Italy
| | - Cristina Muscio
- IRCCS Centro San Giovanni di Dio-Fatebenefratelli, via Pilastroni 4, 20125 Brescia, Italy
| | - Marina Boccardi
- IRCCS Centro San Giovanni di Dio-Fatebenefratelli, via Pilastroni 4, 20125 Brescia, Italy
| | - Marco Lorenzi
- IRCCS Centro San Giovanni di Dio-Fatebenefratelli, via Pilastroni 4, 20125 Brescia, Italy
| | - Giovanni de Girolamo
- IRCCS Centro San Giovanni di Dio-Fatebenefratelli, via Pilastroni 4, 20125 Brescia, Italy
| | - Giovanni Frisoni
- IRCCS Centro San Giovanni di Dio-Fatebenefratelli, via Pilastroni 4, 20125 Brescia, Italy.
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48
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Thalamic abnormalities are a cardinal feature of alcohol-related brain dysfunction. Neurosci Biobehav Rev 2014; 54:38-45. [PMID: 25108034 DOI: 10.1016/j.neubiorev.2014.07.023] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2014] [Revised: 07/11/2014] [Accepted: 07/28/2014] [Indexed: 01/27/2023]
Abstract
Two brain networks are particularly affected by the harmful effect of chronic and excessive alcohol consumption: the circuit of Papez and the frontocerebellar circuit, in both of which the thalamus plays a key role. Shrinkage of the thalamus is more severe in alcoholics with Korsakoff's syndrome (KS) than in those without neurological complication (AL). In accordance with the gradient effect of thalamic abnormalities between AL and KS, the pattern of brain dysfunction in the Papez's circuit results in anterograde amnesia in KS and only mild-to-moderate episodic memory disorders in AL. On the opposite, dysfunction of the frontocerebellar circuit results in a similar pattern of working memory and executive deficits in the AL and KS. Several hypotheses, mutually compatible, can be drawn to explain that the severe thalamic shrinkage observed in KS has different consequences in the neuropsychological profile associated with the two brain networks.
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49
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Yokoyama R, Nozawa T, Takeuchi H, Taki Y, Sekiguchi A, Nouchi R, Kotozaki Y, Nakagawa S, Miyauchi CM, Iizuka K, Shinada T, Yamamoto Y, Hanawa S, Araki T, Hashizume H, Kunitoki K, Hanihara M, Sassa Y, Kawashima R. Association between gray matter volume in the caudate nucleus and financial extravagance: Findings from voxel-based morphometry. Neurosci Lett 2014; 563:28-32. [DOI: 10.1016/j.neulet.2014.01.026] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2013] [Revised: 01/12/2014] [Accepted: 01/17/2014] [Indexed: 11/30/2022]
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50
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Jin Z, Bhandage AK, Bazov I, Kononenko O, Bakalkin G, Korpi ER, Birnir B. Selective increases of AMPA, NMDA, and kainate receptor subunit mRNAs in the hippocampus and orbitofrontal cortex but not in prefrontal cortex of human alcoholics. Front Cell Neurosci 2014; 8:11. [PMID: 24523671 PMCID: PMC3905203 DOI: 10.3389/fncel.2014.00011] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2013] [Accepted: 01/08/2014] [Indexed: 12/31/2022] Open
Abstract
Glutamate is the main excitatory transmitter in the human brain. Drugs that affect the glutamatergic signaling will alter neuronal excitability. Ethanol inhibits glutamate receptors. We examined the expression level of glutamate receptor subunit mRNAs in human post-mortem samples from alcoholics and compared the results to brain samples from control subjects. RNA from hippocampal dentate gyrus (HP-DG), orbitofrontal cortex (OFC), and dorso-lateral prefrontal cortex (DL-PFC) samples from 21 controls and 19 individuals with chronic alcohol dependence were included in the study. Total RNA was assayed using quantitative RT-PCR. Out of the 16 glutamate receptor subunits, mRNAs encoding two AMPA [2-amino-3-(3-hydroxy-5-methyl-isoxazol-4-yl)propanoic acid] receptor subunits GluA2 and GluA3; three kainate receptor subunits GluK2, GluK3 and GluK5 and five NMDA (N-methyl-D-aspartate) receptor subunits GluN1, GluN2A, GluN2C, GluN2D, and GluN3A were significantly increased in the HP-DG region in alcoholics. In the OFC, mRNA encoding the NMDA receptor subunit GluN3A was increased, whereas in the DL-PFC, no differences in mRNA levels were observed. Our laboratory has previously shown that the expression of genes encoding inhibitory GABA-A receptors is altered in the HP-DG and OFC of alcoholics (Jin et al., 2011). Whether the changes in one neurotransmitter system drives changes in the other or if they change independently is currently not known. The results demonstrate that excessive long-term alcohol consumption is associated with altered expression of genes encoding glutamate receptors in a brain region-specific manner. It is an intriguing possibility that genetic predisposition to alcoholism may contribute to these gene expression changes.
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Affiliation(s)
- Zhe Jin
- Department of Neuroscience, Uppsala University Uppsala, Sweden
| | - Amol K Bhandage
- Department of Neuroscience, Uppsala University Uppsala, Sweden
| | - Igor Bazov
- Division of Biological Research on Drug Dependence, Department of Pharmaceutical Biosciences, Uppsala University Uppsala, Sweden
| | - Olga Kononenko
- Division of Biological Research on Drug Dependence, Department of Pharmaceutical Biosciences, Uppsala University Uppsala, Sweden
| | - Georgy Bakalkin
- Division of Biological Research on Drug Dependence, Department of Pharmaceutical Biosciences, Uppsala University Uppsala, Sweden
| | - Esa R Korpi
- Institute of Biomedicine, Pharmacology, University of Helsinki Helsinki, Finland
| | - Bryndis Birnir
- Department of Neuroscience, Uppsala University Uppsala, Sweden
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