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Elsayed M, Marsden E, Hargreaves T, Syan SK, MacKillop J, Amlung M. Triple network resting-state functional connectivity patterns of alcohol heavy drinking. Alcohol Alcohol 2024; 59:agae056. [PMID: 39129375 DOI: 10.1093/alcalc/agae056] [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: 04/02/2024] [Revised: 07/18/2024] [Accepted: 07/31/2024] [Indexed: 08/13/2024] Open
Abstract
AIMS Previous neuroimaging research in alcohol use disorder (AUD) has found altered functional connectivity in the brain's salience, default mode, and central executive (CEN) networks (i.e. the triple network model), though their specific associations with AUD severity and heavy drinking remains unclear. This study utilized resting-state fMRI to examine functional connectivity in these networks and measures of alcohol misuse. METHODS Seventy-six adult heavy drinkers completed a 7-min resting-state functional MRI scan during visual fixation. Linear regression models tested if connectivity in the three target networks was associated with past 12-month AUD symptoms and number of heavy drinking days in the past 30 days. Exploratory analyses examined correlations between connectivity clusters and impulsivity and psychopathology measures. RESULTS Functional connectivity within the CEN network (right and left lateral prefrontal cortex [LPFC] seeds co-activating with 13 and 15 clusters, respectively) was significantly associated with AUD symptoms (right LPFC: β = .337, p-FDR = .016; left LPFC: β = .291, p-FDR = .028) but not heavy drinking (p-FDR > .749). Post-hoc tests revealed six clusters co-activating with the CEN network were associated with AUD symptoms-right middle frontal gyrus, right inferior parietal gyrus, left middle temporal gyrus, and left and right cerebellum. Neither the default mode nor the salience network was significantly associated with alcohol variables. Connectivity in the left LPFC was correlated with monetary delay discounting (r = .25, p = .03). CONCLUSIONS These findings support previous associations between connectivity within the CEN network and AUD severity, providing additional specificity to the relevance of the triple network model to AUD.
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Affiliation(s)
- Mahmoud Elsayed
- Peter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton and McMaster University, 100 West 5th Street, Hamilton, ON L9C 0E3Canada
- Department of Psychiatry and Behavioural Neuroscience, McMaster University, 100 West 5th Street, Hamilton, ON L9C 0E3Canada
| | - Emma Marsden
- Peter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton and McMaster University, 100 West 5th Street, Hamilton, ON L9C 0E3Canada
| | - Tegan Hargreaves
- Peter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton and McMaster University, 100 West 5th Street, Hamilton, ON L9C 0E3 Canada
- Department of Psychiatry and Behavioural Neuroscience, McMaster University, 100 West 5th Street, Hamilton, ON L9C 0E3Canada
| | - Sabrina K Syan
- Peter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton and McMaster University, 100 West 5th Street, Hamilton, ON L9C 0E3Canada
- Department of Psychiatry and Behavioural Neuroscience, McMaster University, 100 West 5th Street, Hamilton, ON L9C 0E3Canada
| | - James MacKillop
- Peter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton and McMaster University, 100 West 5th Street, Hamilton, ON L9C 0E3Canada
- Department of Psychiatry and Behavioural Neuroscience, McMaster University, 100 West 5th Street, Hamilton, ON L9C 0E3Canada
| | - Michael Amlung
- Cofrin Logan Center for Addiction Research and Treatment, University of Kansas, 1000 Sunnyside Ave, Suite 4001, Lawrence, KS 66045USA
- Department of Applied Behavioral Science, University of Kansas, 1000 Sunnyside Ave, Suite 4001, Lawrence, KS 66045USA
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Daood M, Magal N, Peled-Avron L, Nevat M, Ben-Hayun R, Aharon-Peretz J, Tomer R, Admon R. Graph analysis uncovers an opposing impact of methylphenidate on connectivity patterns within default mode network sub-divisions. BEHAVIORAL AND BRAIN FUNCTIONS : BBF 2024; 20:15. [PMID: 38902791 PMCID: PMC11191242 DOI: 10.1186/s12993-024-00242-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Accepted: 06/13/2024] [Indexed: 06/22/2024]
Abstract
BACKGROUND The Default Mode Network (DMN) is a central neural network, with recent evidence indicating that it is composed of functionally distinct sub-networks. Methylphenidate (MPH) administration has been shown before to modulate impulsive behavior, though it is not yet clear whether these effects relate to MPH-induced changes in DMN connectivity. To address this gap, we assessed the impact of MPH administration on functional connectivity patterns within and between distinct DMN sub-networks and tested putative relations to variability in sub-scales of impulsivity. METHODS Fifty-five right-handed healthy adults underwent two resting-state functional MRI (rs-fMRI) scans, following acute administration of either MPH (20 mg) or placebo, via a randomized double-blind placebo-controlled design. Graph modularity analysis was implemented to fractionate the DMN into distinct sub-networks based on the impact of MPH (vs. placebo) on DMN connectivity patterns with other neural networks. RESULTS MPH administration led to an overall decreased DMN connectivity, particularly with the auditory, cinguloopercular, and somatomotor networks, and increased connectivity with the parietomedial network. Graph analysis revealed that the DMN could be fractionated into two distinct sub-networks, with one exhibiting MPH-induced increased connectivity and the other decreased connectivity. Decreased connectivity of the DMN sub-network with the cinguloopercular network following MPH administration was associated with elevated impulsivity and non-planning impulsiveness. CONCLUSION Current findings highlight the intricate effects of MPH administration on DMN rs-fMRI connectivity, uncovering its opposing impact on distinct DMN sub-divisions. MPH-induced dynamics in DMN connectivity patterns with other neural networks may account for some of the effects of MPH administration on impulsive behavior.
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Affiliation(s)
- Maryana Daood
- School of Psychological Sciences, University of Haifa, 199 Aba Khoushy Ave. Mount Carmel, Haifa, 31905, Israel
- Sakhnin College of Education, Sakhnin, Israel
| | - Noa Magal
- School of Psychological Sciences, University of Haifa, 199 Aba Khoushy Ave. Mount Carmel, Haifa, 31905, Israel
| | - Leehe Peled-Avron
- The Leslie and Susan Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat-Gan, Israel
- Department of Psychology, Bar-Ilan University, Ramat-Gan, Israel
| | - Michael Nevat
- School of Psychological Sciences, University of Haifa, 199 Aba Khoushy Ave. Mount Carmel, Haifa, 31905, Israel
| | - Rachel Ben-Hayun
- Stroke and Cognition Institute, Rambam Health Care Campus, Haifa, Israel
- Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Judith Aharon-Peretz
- Stroke and Cognition Institute, Rambam Health Care Campus, Haifa, Israel
- Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Rachel Tomer
- School of Psychological Sciences, University of Haifa, 199 Aba Khoushy Ave. Mount Carmel, Haifa, 31905, Israel
- The Integrated Brain and Behavior Research Center (IBBRC), University of Haifa, Haifa, Israel
| | - Roee Admon
- School of Psychological Sciences, University of Haifa, 199 Aba Khoushy Ave. Mount Carmel, Haifa, 31905, Israel.
- The Integrated Brain and Behavior Research Center (IBBRC), University of Haifa, Haifa, Israel.
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3
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Miller AP, Gizer IR. Dual-systems models of the genetic architecture of impulsive personality traits: neurogenetic evidence of distinct but related factors. Psychol Med 2024; 54:1533-1543. [PMID: 38016992 PMCID: PMC11132950 DOI: 10.1017/s0033291723003367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
BACKGROUND Dual-systems models, positing an interaction between two distinct and competing systems (i.e. top-down self-control, and bottom-up reward- or emotion-based drive), provide a parsimonious framework for investigating the interplay between cortical and subcortical brain regions relevant to impulsive personality traits (IPTs) and their associations with psychopathology. Despite recent developments in multivariate analysis of genome-wide association studies (GWAS), molecular genetic investigations of these models have not been conducted. METHODS Using IPT GWAS, we conducted confirmatory genomic structural equation models (GenomicSEM) to empirically evaluate dual-systems models of the genetic architecture of IPTs. Genetic correlations between dual-systems factors and relevant cortical and subcortical neuroimaging phenotypes (regional/structural volume, cortical surface area, cortical thickness) were estimated and compared. RESULTS GenomicSEM dual-systems models underscored important sources of shared and unique genetic variance between top-down and bottom-up constructs. Specifically, a dual-systems genomic model consisting of sensation seeking and lack of self-control factors demonstrated distinct but related sources of genetic influences (rg = 0.60). Genetic correlation analyses provided evidence of differential associations between dual-systems factors and cortical neuroimaging phenotypes (e.g. lack of self-control negatively associated with cortical thickness, sensation seeking positively associated with cortical surface area). No significant associations were observed with subcortical phenotypes. CONCLUSIONS Dual-systems models of the genetic architecture of IPTs tested were consistent with study hypotheses, but associations with relevant neuroimaging phenotypes were mixed (e.g. no associations with subcortical volumes). Findings demonstrate the utility of dual-systems models for studying IPT genetic influences, but also highlight potential limitations as a framework for interpreting IPTs as endophenotypes for psychopathology.
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Affiliation(s)
- Alex P. Miller
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States
| | - Ian R. Gizer
- Department of Psychological Sciences, University of Missouri, Columbia, MO, United States
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Sun F, Kong Z, Tang Y, Yang J, Huang G, Liu Y, Jiang W, Yang M, Jia X. Functional Connectivity Differences in the Resting-state of the Amygdala in Alcohol-dependent Patients with Depression. Acad Radiol 2024:S1076-6332(24)00279-4. [PMID: 38755068 DOI: 10.1016/j.acra.2024.04.043] [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: 03/12/2024] [Revised: 04/20/2024] [Accepted: 04/26/2024] [Indexed: 05/18/2024]
Abstract
RATIONALE AND OBJECTIVES The mechanism of comorbidity between alcohol dependence and depressive disorders are not well understood. This study investigated differences in the brain function of alcohol-dependent patients with and without depression by performing functional connectivity analysis using resting-state functional magnetic resonance imaging. MATERIALS AND METHODS A total of 29 alcohol-dependent patients with depression, 31 alcohol-dependent patients without depression and 31 healthy control subjects were included in this study. The resting-state functional connectivity between the amygdala and the whole brain was compared among the three groups. Additionally, we examined the correlation between functional connectivity values in significantly different brain regions and levels of alcohol dependence and depression. RESULTS The resting-state functional connectivity between the left amygdala and the right caudate nucleus was decreased in alcohol-dependent patients. Additionally, the resting-state functional connectivity of the right amygdala with the right caudate nucleus, right transverse temporal gyrus, right temporal pole: superior temporal gyrus were also decreased. In alcohol-dependent patients with depression, not only was functional connectivity between the above brain regions significantly decreased, but so was functional connectivity between the right amygdala and the left middle temporal gyrus. Also, there was no significant correlation between the resting-state functional connectivity values in statistically significant brain regions and the levels of alcohol dependence and depression. CONCLUSION The impairment of the functional connectivity of the amygdala with caudate nucleus and partial temporal lobe may be involved in the neural mechanism of alcohol dependence comorbidity depressive disorders.
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Affiliation(s)
- Fengwei Sun
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital & Shenzhen Mental Health Center; Clinical College of Mental Health, Shenzhen University Health Science Center; Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen 518118, China
| | - Zhi Kong
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital & Shenzhen Mental Health Center; Clinical College of Mental Health, Shenzhen University Health Science Center; Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen 518118, China
| | - Yun Tang
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital & Shenzhen Mental Health Center; Clinical College of Mental Health, Shenzhen University Health Science Center; Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen 518118, China
| | - Jihui Yang
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital & Shenzhen Mental Health Center; Clinical College of Mental Health, Shenzhen University Health Science Center; Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen 518118, China
| | - Gengdi Huang
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital & Shenzhen Mental Health Center; Clinical College of Mental Health, Shenzhen University Health Science Center; Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen 518118, China
| | - Yu Liu
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital & Shenzhen Mental Health Center; Clinical College of Mental Health, Shenzhen University Health Science Center; Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen 518118, China
| | - Wentao Jiang
- Department of Radiology, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital & Shenzhen Mental Health Center; Clinical College of Mental Health, Shenzhen University Health Science Center; Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen 518118, China
| | - Mei Yang
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital & Shenzhen Mental Health Center; Clinical College of Mental Health, Shenzhen University Health Science Center; Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen 518118, China
| | - Xiaojian Jia
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital & Shenzhen Mental Health Center; Clinical College of Mental Health, Shenzhen University Health Science Center; Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen 518118, China.
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5
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Yang K, Du R, Yang Q, Zhao R, Fan F, Chen S, Luo X, Tan S, Wang Z, Yu T, Tian B, Le TM, Li CSR, Tan Y. Cortical thickness of the inferior parietal lobule as a potential predictor of relapse in men with alcohol dependence. Brain Imaging Behav 2024; 18:331-342. [PMID: 38078981 DOI: 10.1007/s11682-023-00838-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/01/2023] [Indexed: 12/26/2023]
Abstract
Alcohol dependence is a disorder with a high recurrence rate that leads to a considerable public health burden. The risk of relapse appears to be related to a complex interplay of multiple factors. Herein, we aimed to explore the potential neural predictors of relapse in Chinese male patients with alcohol dependence. This study enrolled 58 male patients with alcohol dependence who had undergone acute detoxification. General demographic information and clinical features were collected. Magnetic resonance imaging data were used to measure cortical thickness across 34 regions of the brain. Patients were followed up at six months, and 51 patients completed the follow-up visit. These patients were divided into a relapser and an abstainer group. A binary logistic regression analysis was performed to investigate the potential risk factors of relapse. Compared to abstainers, relapsers showed higher inattention and non-planning impulsivity on the 11th version of the Barratt Impulsive Scale. The cortical thicknesses of the inferior-parietal lobules were significantly higher in abstainers compared with those in relapsers. Furthermore, binary logistic regression analysis showed that the thickness of the inferior parietal lobule predicted relapse, and lower non-planning impulse was a protective factor against relapse. Relapsers show poorer impulse control than abstainers, and structural magnetic resonance imaging revealed a decreased thickness of the inferior parietal lobule in relapsers. Our results indicate the thickness of the inferior parietal lobule as a potential relapse predictor in male patients with alcohol dependence.
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Affiliation(s)
- Kebing Yang
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, 100096, People's Republic of China
| | - Ruonan Du
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, 100096, People's Republic of China
| | - Qingyan Yang
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, 100096, People's Republic of China
| | - Rongjiang Zhao
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, 100096, People's Republic of China
| | - Fengmei Fan
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, 100096, People's Republic of China
| | - Song Chen
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, 100096, People's Republic of China
| | - Xingguang Luo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, 06519, USA
| | - Shuping Tan
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, 100096, People's Republic of China
| | - Zhiren Wang
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, 100096, People's Republic of China
| | - Ting Yu
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, 100096, People's Republic of China
| | - Baopeng Tian
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, 100096, People's Republic of China
| | - Thang M Le
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, 06519, USA
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, 06519, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, 06519, USA
| | - Yunlong Tan
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, 100096, People's Republic of China.
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Sanader Vukadinovic B, Karch S, Paolini M, Reidler P, Rauchmann B, Koller G, Pogarell O, Keeser D. Neurofeedback for alcohol addiction: Changes in resting state network activity ✰. Psychiatry Res Neuroimaging 2024; 339:111786. [PMID: 38281353 DOI: 10.1016/j.pscychresns.2024.111786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 12/09/2023] [Accepted: 01/08/2024] [Indexed: 01/30/2024]
Abstract
Alcohol dependence continues to be a major global burden despite significant research progress and treatment development. The aim of this study was to investigate whether neurofeedback training can alter resting state fMRI activity in brain regions that play a crucial role in addiction disorders in patients with alcohol dependence. For this purpose, a total of 52 patients were recruited for the present study, randomized, and divided into an active and a sham group. Patients in the active group received three sessions of neurofeedback training. We compared the resting state data in the active group as part of the NF training on six measurement days. When comparing the results of the active group from neurofeedback day 3 with baseline 1, a significant reduction in activated voxels in the ventral attention network area was seen. This suggests that reduced activity over the course of therapy in subjects may lead to greater independence from external stimuli. Overall, a global decrease in activated voxels within all three analysed networks compared to baseline was observed in the study. The use of resting-state data as potential biomarkers, as activity changes within these networks, may be to help restore cognitive processes and alcohol abuse-related craving and emotions.
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Affiliation(s)
- B Sanader Vukadinovic
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany; University College London Hospitals NHS Foundation Trust (UCLH), London, United Kingdom.
| | - S Karch
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany
| | - M Paolini
- Department of Radiology, University Hospital LMU, Munich, Germany
| | - P Reidler
- Department of Radiology, University Hospital LMU, Munich, Germany
| | - B Rauchmann
- Department of Radiology, University Hospital LMU, Munich, Germany
| | - G Koller
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany
| | - O Pogarell
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany
| | - D Keeser
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany; NeuroImaging Core Unit Munich (NICUM), University Hospital LMU, Munich, Germany
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7
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Agarwal K, Joseph PV, Zhang R, Schwandt ML, Ramchandani VA, Diazgranados N, Goldman D, Momenan R. Early life stress and body-mass-index modulate brain connectivity in alcohol use disorder. Transl Psychiatry 2024; 14:43. [PMID: 38245501 PMCID: PMC10799859 DOI: 10.1038/s41398-024-02756-8] [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: 11/13/2023] [Revised: 01/03/2024] [Accepted: 01/08/2024] [Indexed: 01/22/2024] Open
Abstract
Early life stress (ELS) significantly increases susceptibility to alcohol use disorder (AUD) by affecting the interplay between the executive and the salience networks (SNs). The link between AUD and higher body-mass index (BMI) is known, but we lack understanding of how BMI impacts the relationship between ELS and brain connectivity in individuals with AUD. To bridge this gap, we investigated the main and interaction effects of ELS and BMI on brain connectivity in individuals with AUD compared to non-AUD participants (n = 77 sex-matched individuals per group). All participants underwent resting-state functional magnetic resonance imaging, revealing intriguing positive functional connectivity between SN seeds and brain regions involved in somatosensory processing, motor coordination and executive control. Examining the relationship of brain connectivity with ELS and BMI, we observed positive associations with the correlations of SN seeds, right anterior insula (RAIns) and supramarginal gyrus (SMG) with clusters in motor [occipital cortex, supplementary motor cortex]; anterior cingulate cortex (ACC) with clusters in frontal, or executive, control regions (middle frontal gyrus; MFG, precentral gyrus) that reportedly are involved in processing of emotionally salient stimuli (all |β | > 0.001, |p | < 0.05). Interestingly, a negative association of the interaction effect of ELS events and BMI measures with the functional connectivity of SN seeds ACC with decision-making (MFG, precentral gyrus), RAIns and RSMG with visuo-motor control regions (occipital cortex and supplementary motor cortex) (all |β | = -0.001, |p | < 0.05). These findings emphasize the moderating effect of BMI on ELS-associated SN seed brain connectivity in AUD. Understanding the neural mechanisms linking BMI, ELS and AUD can guide targeted interventions for this population.
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Affiliation(s)
- Khushbu Agarwal
- Section of Sensory Science and Metabolism, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, 20892, USA
- National Institute of Nursing Research, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, 20892, USA
| | - Paule V Joseph
- Section of Sensory Science and Metabolism, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, 20892, USA
- National Institute of Nursing Research, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, 20892, USA
| | - Rui Zhang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, 20892, USA
| | - Melanie L Schwandt
- Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, 20892, USA
| | - Vijay A Ramchandani
- Human Psychopharmacology Laboratory, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, 20892, USA
| | - Nancy Diazgranados
- Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, 20892, USA
| | - David Goldman
- Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, 20892, USA
- Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, Rockville, MD, 20892, USA
| | - Reza Momenan
- Clinical NeuroImaging Research Core, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, 20892, USA.
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8
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Cavicchioli M, Movalli M, Bruni A, Terragni R, Bellintani S, Ricchiuti A, Borgia E, Borelli G, Elena GM, Piazza L, Begarani M, Ogliari A. The Complexity of Impulsivity Dimensions among Abstinent Individuals with Substance Use Disorders. J Psychoactive Drugs 2023; 55:471-482. [PMID: 35998223 DOI: 10.1080/02791072.2022.2113482] [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: 01/21/2022] [Revised: 06/21/2022] [Accepted: 06/23/2022] [Indexed: 10/15/2022]
Abstract
Impulsivity is a complex construct that has been operationalized considering personality dimensions (e.g., negative urgency [NU], lack of perseverance [LPe], lack of premeditation [LPr], positive urgency [PU]), and neuropsychological processes (i.e., cognitive disinhibition, motor disinhibition, impulsive decision-making). Empirical research suggested that they could represent core features of substance use disorders (SUDs). However, there are no studies that have comprehensively assessed them among patients with SUDs. Furthermore, the quality of relationships among such domains remains unclear. The current case-control study included 59 abstinent patients with SUDs and 56 healthy controls (HCs). There were two independent assessment phases: i) the administration of UPPS-P impulsive behavior scale; ii) a computerized neuropsychological battery (i.e., Attentional Network Test, Go/No-Go task, Iowa Gambling task). Patients with SUDs reported higher levels of NU and PU than HCs. NU, LPe, and LPr were associated to the co-occurrence of multiple SUDs. Motor disinhibition was the core dimension of SUDs. Cognitive disinhibition and Impulsive decision-making were also associated to SUDs. Self-report and neuropsychological dimensions of impulsivity were not correlated within the clinical group. HCs showed significant associations among these domains of impulsivity. Impulsivity should be viewed as a complex system of personality traits and neuropsychological processes among individuals with SUDs.
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Affiliation(s)
- Marco Cavicchioli
- Department of Psychology, University "Vita-Salute San Raffaele", Milan, Italy
| | - Mariagrazia Movalli
- Department of Psychology, University "Vita-Salute San Raffaele", Milan, Italy
| | - Aurora Bruni
- Department of Psychology, University "Vita-Salute San Raffaele", Milan, Italy
| | - Rachele Terragni
- Department of Psychology, University "Vita-Salute San Raffaele", Milan, Italy
| | - Silvia Bellintani
- Department of Psychology, University "Vita-Salute San Raffaele", Milan, Italy
| | | | | | | | - Goldoni Maria Elena
- Department of Psychology, University "Vita-Salute San Raffaele", Milan, Italy
| | | | | | - Anna Ogliari
- Child in Mind Lab, University "Vita-Salute San Raffaele", Milan, Italy
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9
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Zhang L, Cui Z, Huffman LG, Oshri A. Sleep mediates the effect of stressful environments on youth development of impulsivity: The moderating role of within default mode network resting-state functional connectivity. Sleep Health 2023; 9:503-511. [PMID: 37270396 PMCID: PMC10524131 DOI: 10.1016/j.sleh.2023.03.005] [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: 09/19/2022] [Revised: 03/13/2023] [Accepted: 03/22/2023] [Indexed: 06/05/2023]
Abstract
OBJECTIVES Youth raised in stressful environments are at increased risk for developing impulsive traits, which are a robust precursor of problem behaviors. Sleep may mediate the link between stress and problem behaviors as it is both sensitive to stress and essential for neurocognitive development underlying behavioral control during adolescence. The default mode network (DMN) is a brain network implicated in stress regulation and sleep. Yet, it is poorly understood how individual differences in resting-state DMN moderate the effect of stressful environments on impulsivity via sleep problems. METHODS Three waves of data spanning 2 years were obtained from the Adolescent Brain and Cognitive Development Study, a national longitudinal sample of 11,878 children (Mage at baseline = 10.1; 47.8% female). Structural equation modeling was used to test (a) the mediating role of sleep at T3 in the link between stressful environments at baseline and impulsivity at T5 and (b) the moderation of this indirect association by baseline levels of within-DMN resting-state functional connectivity. RESULTS Sleep problems, shorter sleep duration, and longer sleep latency significantly mediated the link between stressful environments and youth impulsivity. Youth with elevated within-DMN resting-state functional connectivity showed intensified associations between stressful environments and impulsivity via shorter sleep duration. CONCLUSION Our findings suggest that sleep health can be a target for preventive intervention and thereby mitigate the link between stressful environments and increased levels of youth impulsivity.
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Affiliation(s)
- Linhao Zhang
- Department of Human Development and Family Science, University of Georgia, Athens, Georgia, United States; Youth Development Institute, University of Georgia, Athens, Georgia, United States.
| | - Zehua Cui
- Department of Human Development and Family Science, University of Georgia, Athens, Georgia, United States; Youth Development Institute, University of Georgia, Athens, Georgia, United States
| | - Landry Goodgame Huffman
- Youth Development Institute, University of Georgia, Athens, Georgia, United States; Integrated Life Sciences, Behavioral and Cognitive Neuroscience, University of Georgia, Athens, Georgia, United States
| | - Assaf Oshri
- Department of Human Development and Family Science, University of Georgia, Athens, Georgia, United States; Youth Development Institute, University of Georgia, Athens, Georgia, United States; Integrated Life Sciences, Behavioral and Cognitive Neuroscience, University of Georgia, Athens, Georgia, United States
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10
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van Oort J, Diazgranados N, George DT, Horneffer Y, Schwandt M, Goldman D, Momenan R. Preliminary evidence for changes in frontoparietal network connectivity in the early abstinence period in alcohol use disorder: a longitudinal resting-state functional magnetic resonance imaging study. Front Psychiatry 2023; 14:1185770. [PMID: 37575566 PMCID: PMC10420071 DOI: 10.3389/fpsyt.2023.1185770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 07/07/2023] [Indexed: 08/15/2023] Open
Abstract
The early abstinence period is a crucial phase in alcohol use disorder (AUD) in which patients have to find a new equilibrium and may start recovery, or conversely, relapse. However, the changes in brain functions during this key period are still largely unknown. We set out to study longitudinal changes in large-scale brain networks during the early abstinence period using resting-state scans. We scanned AUD patients twice in a well-controlled inpatient setting, with the first scan taking place shortly after admission and the second scan 4 weeks (±9 days) later near the end of the treatment period. We studied 37 AUD patients (22 males) and 27 healthy controls (16 males). We focused on three networks that are affected in AUD and underly core symptom dimensions in this disorder: the frontoparietal networks (left and right FPN) and default mode network (DMN). Both the whole brain and within network connectivity of these networks were studied using dual regression. Finally, we explored correlations between these brain networks and various neuropsychological and behavioral measures. In contrast to the controls (Z = -1.081, p = 0.280), the AUD patients showed a decrease in within left FPN connectivity (Z = -2.029, p = 0.042). However, these results did not survive a strict Bonferroni correction. The decrease in left FPN connectivity during the early abstinence period in AUD may reflect an initially upregulated FPN, which recovers to a lower resting-state connectivity level during subsequent weeks of abstinence. The AUD patients showed a trend for a positive association between the change in left FPN connectivity and trait anxiety (rs = 0.303, p = 0.068), and a trend for a negative association between the change in left FPN connectivity and delay discounting (rs = -0.283, p = 0.089) (uncorrected for multiple comparisons). This suggests that the FPN might be involved in top-down control of impulsivity and anxiety, which are important risk factors for relapse. Although there were no statistically significant results (after multiple comparison correction), our preliminary findings encourage further research into the dynamic neuroadaptations during the clinically crucial early abstinence period and could inform future study designs.
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Affiliation(s)
- Jasper van Oort
- Clinical NeuroImaging Research Core, National Institute on Alcohol Abuse and Alcoholism, National Institute of Health, Bethesda, MD, United States
| | - Nancy Diazgranados
- Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institute of Health, Bethesda, MD, United States
| | - David T. George
- Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institute of Health, Bethesda, MD, United States
| | - Yvonne Horneffer
- Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institute of Health, Bethesda, MD, United States
| | - Melanie Schwandt
- Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institute of Health, Bethesda, MD, United States
| | - David Goldman
- Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institute of Health, Bethesda, MD, United States
| | - Reza Momenan
- Clinical NeuroImaging Research Core, National Institute on Alcohol Abuse and Alcoholism, National Institute of Health, Bethesda, MD, United States
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11
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Firdaus I, Kleiboer AM, Huizink AC, Kaag AM. The Moderating Role of Sex in the Relation between Cue-Induced Craving and Resting-State Functional Connectivity in the Salience Network of Non-Clinically Diagnosed Drinkers. Eur Addict Res 2023; 29:294-304. [PMID: 37423204 PMCID: PMC10614227 DOI: 10.1159/000531090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 04/18/2023] [Indexed: 07/11/2023]
Abstract
INTRODUCTION Previous research indicates a relation between craving and increased connectivity in the resting-state salience network. However, the link between cue-induced craving and connectivity in the salience network remains unclear. Further investigation is needed to understand the effect of sex on the relationship between cue-induced craving and the salience network. We investigated the role of sex in the association between the resting-state functional connectivity (RSFC) salience network and subjective cue-induced craving. METHODS Twenty-six males (mean age = 25.3) and 23 females (mean age = 26.0), with a score of 12 or higher on the alcohol use disorder identification test, were included in the current study. No significant difference in age was observed between males and females. Participants underwent a resting-state MRI scan for 6 min. Following the MRI scan, participants completed an alcohol cue-exposure task for 5.5 min to assess cue-induced craving using the desire to drink alcohol questionnaire. We applied independent component analysis methods to determine functional connectivity within the salience network. Subsequently, we investigated how cue-induced craving is related to the salience network's RSFC and if this relationship is moderated by sex. RESULTS The association between the salience network and cue-induced craving was not statistically significant nor did we find a moderating effect for sex. CONCLUSION The null findings in the study may be explained by a lack of power. Alternatively, alcohol use sex disparities may be more prevalent in the recreational/impulsive stage, whereas participants in our study were in the later stage of addiction.
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Affiliation(s)
- Insan Firdaus
- Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Annet M Kleiboer
- Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Anja C Huizink
- Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Anne Marije Kaag
- Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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12
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Lee S, Yoon S, Namgung E, Kim TD, Hong H, Ha E, Kim RY, Song Y, Lee H, Suh C, Lyoo IK. Distinctively different human neurobiological responses after trauma exposure and implications for posttraumatic stress disorder subtyping. Mol Psychiatry 2023; 28:2964-2974. [PMID: 36854717 DOI: 10.1038/s41380-023-01995-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 01/27/2023] [Accepted: 02/08/2023] [Indexed: 03/02/2023]
Abstract
Trauma elicits various adaptive and maladaptive responses among all exposed people. There may be distinctively different patterns of adaptation/maladaptation or types according to neurobiological predisposition. The present study aims to dissect the heterogeneity of posttraumatic conditions in order to identify clinically meaningful subtypes in recently traumatized individuals and evaluate their neurobiological correlates and long-term prognosis. We implemented a data-driven classification approach in both discovery (n = 480) and replication (n = 220) datasets of trauma-exposed and trauma-unexposed individuals based on the clinical data across a wide range of assessments. Subtype-specific patterns of functional connectivity in higher-order cortical networks, longitudinal clinical outcomes, and changes in functional connectivity were also evaluated. We identified four distinct and replicable subtypes for trauma-exposed individuals according to posttraumatic stress symptoms. Each subtype was distinct in clinical characteristics, brain functional organization, and long-term trajectories for posttraumatic symptoms. These findings help enhance current understanding of mechanisms underlying the human-specific heterogeneous responses to trauma. Furthermore, this study contributes data towards the development of improved interventions, including targeting of subtype-specific characteristics, for trauma-exposed individuals and those with PTSD.
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Affiliation(s)
- Suji Lee
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
| | - Sujung Yoon
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
- Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea
| | - Eun Namgung
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
| | - Tammy D Kim
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
| | - Haejin Hong
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
| | - Eunji Ha
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
| | - Rye Young Kim
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
- Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, South Korea
| | - Yumi Song
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
- Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea
| | - Hyangwon Lee
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
- Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea
| | - Chaewon Suh
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea
- Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea
| | - In Kyoon Lyoo
- Ewha Brain Institute, Ewha Womans University, Seoul, South Korea.
- Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea.
- Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, South Korea.
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA.
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13
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Gorka SM, Radoman M, Jimmy J, Kreutzer KA, Manzler C, Culp S. Behavioral and brain reactivity to uncertain stress prospectively predicts binge drinking in youth. Neuropsychopharmacology 2023; 48:1194-1200. [PMID: 37147429 PMCID: PMC10267158 DOI: 10.1038/s41386-023-01571-x] [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: 12/23/2022] [Revised: 03/02/2023] [Accepted: 03/19/2023] [Indexed: 05/07/2023]
Abstract
Prior studies show that individuals with alcohol use disorder exhibit exaggerated behavioral and brain reactivity to uncertain threats (U-threat). It is posited this brain-based factor emerges early in life and contributes to the onset and escalation of alcohol problems. However, no study to date has tested this theory using a longitudinal within-subjects design. Ninety-five young adults, ages 17-19, with minimal alcohol exposure and established risk factors for alcohol use disorder participated in this multi-session study with a 1-year tracking period. Startle eyeblink potentiation and brain activation were collected at separate baseline sessions during the well-validated No-Predictable-Unpredictable (NPU) threat-of-shock task designed to probe reactivity to U-threat and predictable threat (P-threat). Participants self-reported their drinking behavior over the past 90 days at baseline and one-year later. We fit a series of multilevel hurdle models to model the binary outcome of whether binge drinking occurred and the continuous outcome of number of binge drinking episodes. Zero-inflated binary submodels revealed that greater baseline startle reactivity, bilateral anterior insula (AIC) reactivity, and dorsal anterior cingulate cortex (dACC) reactivity to U-threat were associated with increased probability of binge drinking. There were no other associations between reactivity to U- and P-threat and probability of binge drinking and number of binging episodes. These results demonstrate that exaggerated reactivity to U-threat is a brain-based individual difference factor that connotes risk for problem drinking. These findings also add to a growing literature implicating AIC and dACC dysfunction in the pathophysiology of alcohol use disorder.
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Affiliation(s)
- Stephanie M Gorka
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, 370 W. 9th Avenue, Columbus, OH, 43210, USA.
- Institute for Behavioral Medicine Research, The Ohio State University, 460 Medical Center Drive, Columbus, OH, 43210, USA.
| | - Milena Radoman
- Yale Stress Center, Department of Psychiatry, Yale University School of Medicine, 2 Church St South, New Haven, CT, 06519, USA
| | - Jagan Jimmy
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, 370 W. 9th Avenue, Columbus, OH, 43210, USA
| | - Kayla A Kreutzer
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, 370 W. 9th Avenue, Columbus, OH, 43210, USA
| | - Charles Manzler
- Department of Psychology, University of South Florida, 3711 USF Citrus Drive, Tampa, FL, 33620, USA
| | - Stacey Culp
- Department of Biomedical Informatics, The Ohio State University Wexner Medical Center, 1800 Cannon Drive, Columbus, OH, 43210, USA
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14
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Sun F, Yang J, Liu X, Huang G, Kong Z, Liu Y, Zhu Y, Peng Y, Yang M, Jia X. Characteristics of amplitude of low-frequency fluctuations in the resting-state functional magnetic resonance imaging of alcohol-dependent patients with depression. Cereb Cortex 2023:7169130. [PMID: 37197790 DOI: 10.1093/cercor/bhad184] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 05/04/2023] [Accepted: 05/05/2023] [Indexed: 05/19/2023] Open
Abstract
The high comorbidity of alcohol use disorder and depressive disorder is associated with poor patient prognosis. The mechanisms underlying this comorbidity, however, are largely unknown. By applying the amplitude of low-frequency fluctuations parameter in resting-state functional magnetic resonance imaging, this study investigated changes in the brain functioning of alcohol-dependent patients with and without depression. Alcohol-dependent patients (n = 48) and healthy controls (n = 31) were recruited. The alcohol-dependent patients were divided into those with and without depression, according to Patients Health Questionnaire-9 scores. Amplitude of low-frequency fluctuations in resting-state brain images were compared among the alcohol-dependent patients with depression, alcohol-dependent patients without depression, and healthy controls groups. We further examined associations between amplitude of low-frequency fluctuations alterations, alcohol-dependence severity, and depressive levels (assessed with scales). Compared with the healthy controls group, both alcohol groups showed amplitude of low-frequency fluctuations enhancement in the right cerebellum and amplitude of low-frequency fluctuations abatement in the posterior central gyrus. The alcohol-dependent patients with depression group had higher amplitude of low-frequency fluctuations in the right cerebellum than the alcohol-dependent patients without depression group. Additionally, we observed a positive correlation between amplitude of low-frequency fluctuations value and Patients Health Questionnaire-9 score in the right superior temporal gyrus in the alcohol-dependent patients with depression group. Alcohol-dependent subjects showed abnormally increased spontaneous neural activity in the right cerebellum, which was more significant in alcohol-dependent patients with depression. These findings may support a targeted intervention in this brain location for alcohol and depressive disorder comorbidity.
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Affiliation(s)
- Fengwei Sun
- School of Mental Health, Jining Medical University, Jining 272067, China
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen 518020, China
| | - Jihui Yang
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen 518020, China
| | - Xiaoying Liu
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen 518020, China
| | - Gengdi Huang
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen 518020, China
| | - Zhi Kong
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen 518020, China
| | - Yu Liu
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen 518020, China
| | - Yingmei Zhu
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen 518020, China
| | - Ying Peng
- Department of Neurology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China
| | - Mei Yang
- School of Mental Health, Jining Medical University, Jining 272067, China
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen 518020, China
| | - Xiaojian Jia
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen 518020, China
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15
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Gullett JM, DeFelice J, Richards VL, Porges EC, Cohen RA, Govind V, Salan T, Wang Y, Zhou Z, Cook RL. Resting state connectivity in people living with HIV before and after stopping heavy drinking. Front Psychiatry 2023; 14:1102368. [PMID: 37265553 PMCID: PMC10230054 DOI: 10.3389/fpsyt.2023.1102368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 04/07/2023] [Indexed: 06/03/2023] Open
Abstract
Background Heavy alcohol use in people living with HIV (PLWH) has widespread negative effects on neural functioning. It remains unclear whether experimentally-induced reduction in alcohol use could reverse these effects. We sought to determine the effects of 30-days drinking cessation/reduction on resting state functional connectivity in people with and without HIV. Methods Thirty-five participants (48.6% PLWH) demonstrating heavy alcohol use attempted to stop drinking for 30 days via contingency management (CM). MRI was acquired at baseline and after thirty days, and functional connectivity across five resting-state fMRI (rsfMRI) networks was calculated with the Conn toolbox for Matlab and examined in relation to transdermal alcohol concentration (TAC) recorded by the ankle-worn secure continuous remote alcohol monitor (SCRAM) and self-reported alcohol use (timeline follow-back; TLFB). Associations between alcohol use and reduction, HIV status, functional connectivity, and change in functional connectivity across five major rsfMRI networks were determined relative to the pre- and post-CM timepoints. Results Baseline resting-state functional connectivity was not significantly associated with average TAC-AUC during the pre-CM period, though higher self-reported alcohol use over the preceding 30 days was significantly associated with higher baseline connectivity within the Dorsal Attention Network (DAN; p-FDR < 0.05). Baseline connectivity within the Salience network was significantly negatively related to objective drinking reduction after intervention (DAN; p-FDR < 0.05), whereas baseline connectivity within the Limbic network was positively associated with self-reported drinking reduction (p-FDR < 0.05). Change in between-networks functional connectivity after intervention was significantly positively associated with biosensor-confirmed drinking reduction such that higher reduction was associated with stronger connectivity between the limbic and fronto-parietal control networks (p-FDR < 0.05). PLWH with lower DAN connectivity at baseline demonstrated poorer alcohol reduction than those with higher DAN connectivity at baseline. Discussion Lower resting-state functional connectivity of the Salience network significantly predicted stronger drinking reduction across all participants, suggesting a potential biomarker for reduced susceptibility to the environmental and social cues that often make alcohol use reduction attempts unsuccessful. Increased between-networks connectivity was observed in participants with higher alcohol reduction after CM, suggesting a positive benefit to brain connectivity associated with reduced drinking. PLWH with lower baseline DAN connectivity may not benefit as greatly from CM for alcohol reduction.
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Affiliation(s)
- Joseph M. Gullett
- Center for Cognitive Aging and Memory, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States
| | - Jason DeFelice
- Center for Cognitive Aging and Memory, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States
| | - Veronica L. Richards
- Department of Epidemiology, University of Florida, Gainesville, FL, United States
- Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, University Park, PA, United States
| | - Eric C. Porges
- Center for Cognitive Aging and Memory, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States
| | - Ronald A. Cohen
- Center for Cognitive Aging and Memory, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States
| | - Varan Govind
- Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Teddy Salan
- University of Miami, Coral Gables, United States
| | - Yan Wang
- Department of Epidemiology, University of Florida, Gainesville, FL, United States
| | - Zhi Zhou
- Department of Epidemiology, University of Florida, Gainesville, FL, United States
| | - Robert L. Cook
- Department of Epidemiology, University of Florida, Gainesville, FL, United States
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16
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Gazula H, Rootes-Murdy K, Holla B, Basodi S, Zhang Z, Verner E, Kelly R, Murthy P, Chakrabarti A, Basu D, Bhagyalakshmi Nanjayya S, Lenin Singh R, Lourembam Singh R, Kalyanram K, Kartik K, Kalyanaraman K, Ghattu K, Kuriyan R, Kurpad SS, Barker GJ, Bharath RD, Desrivieres S, Purushottam M, Orfanos DP, Sharma E, Hickman M, Toledano M, Vaidya N, Banaschewski T, Bokde ALW, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Brühl R, Martinot JL, Paillére Martinot ML, Artiges E, Nees F, Paus T, Poustka L, Fröhner JH, Robinson L, Smolka MN, Walter H, Winterer J, Whelan R, Turner JA, Sarwate AD, Plis SM, Benegal V, Schumann G, Calhoun VD. Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains. Neuroinformatics 2023; 21:287-301. [PMID: 36434478 DOI: 10.1007/s12021-022-09604-4] [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] [Accepted: 08/29/2022] [Indexed: 11/27/2022]
Abstract
With the growth of decentralized/federated analysis approaches in neuroimaging, the opportunities to study brain disorders using data from multiple sites has grown multi-fold. One such initiative is the Neuromark, a fully automated spatially constrained independent component analysis (ICA) that is used to link brain network abnormalities among different datasets, studies, and disorders while leveraging subject-specific networks. In this study, we implement the neuromark pipeline in COINSTAC, an open-source neuroimaging framework for collaborative/decentralized analysis. Decentralized exploratory analysis of nearly 2000 resting-state functional magnetic resonance imaging datasets collected at different sites across two cohorts and co-located in different countries was performed to study the resting brain functional network connectivity changes in adolescents who smoke and consume alcohol. Results showed hypoconnectivity across the majority of networks including sensory, default mode, and subcortical domains, more for alcohol than smoking, and decreased low frequency power. These findings suggest that global reduced synchronization is associated with both tobacco and alcohol use. This proof-of-concept work demonstrates the utility and incentives associated with large-scale decentralized collaborations spanning multiple sites.
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Affiliation(s)
- Harshvardhan Gazula
- Martinos Center for Biomedical Imaging, MGH and Harvard Medical School, Boston, USA.
| | - Kelly Rootes-Murdy
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Bharath Holla
- Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India.
- Integrative Medicine, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India.
| | - Sunitha Basodi
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Zuo Zhang
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, London, SE5 8AF, United Kingdom
| | - Eric Verner
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Ross Kelly
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Pratima Murthy
- Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India
| | | | - Debasish Basu
- Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh, India
| | | | - Rajkumar Lenin Singh
- Department of Psychiatry, Regional Institute of Medical Sciences, Imphal, Manipur, India
| | - Roshan Lourembam Singh
- Department of Psychology, Regional Institute of Medical Sciences, Imphal, Manipur, India
| | | | | | | | - Krishnaveni Ghattu
- Epidemiology Research Unit, CSI Holdsworth Memorial Hospital, Mysore, India
| | - Rebecca Kuriyan
- Division of Nutrition, St John's Research Institute, Bengaluru, India
| | - Sunita Simon Kurpad
- Department of Psychiatry & Department of Medical Ethics, St. John's Medical College & Hospital, Bangalore, India
| | - Gareth J Barker
- Department of Neuroimaging, Institute of Psychology, Psychiatry & Neuroscience, King's College London, London, UK
| | - Rose Dawn Bharath
- Department of Neuroimaging and Interventional Radiology, NIMHANS, Bengaluru, India
| | - Sylvane Desrivieres
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, London, SE5 8AF, United Kingdom
| | | | | | - Eesha Sharma
- Department of Child & Adolescent Psychiatry, NIMHANS, Bengaluru, India
| | | | - Mireille Toledano
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Nilakshi Vaidya
- Centre for Addiction Medicine, NIMHANS, Bengaluru, India
- Centre for Population Neuroscience and Precision Medicine (PONS), Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, 68159, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, 68131, Germany
| | | | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, Vermont, 05405, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie"; Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli;, Gif-sur-Yvette, France
| | - Marie-Laure Paillére Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie"; Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli;, Gif-sur-Yvette, France
- AP-HP. Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales en psychiatrie"; Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli;, Gif-sur-Yvette, France
- Psychiatry Department, EPS Barthélémy Durand, Etampes, France
| | - Frauke Nees
- Centre for Population Neuroscience and Precision Medicine (PONS), Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, 68159, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | - Tomás Paus
- Department of Psychiatry, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
- Departments of Psychiatry and Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, Göttingen, 37075, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Lauren Robinson
- Department of Psychological Medicine, Section for Eating Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Jeanne Winterer
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Jessica A Turner
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | - Anand D Sarwate
- Department of Electrical and Computer Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Sergey M Plis
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
- Department of Computer Science, Georgia State University, Atlanta, GA, USA
| | - Vivek Benegal
- Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India
| | - Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, London, SE5 8AF, United Kingdom
- Centre for Population Neuroscience and Precision Medicine (PONS), Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany
- Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, P.R. China
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
- Department of Psychology, Georgia State University, Atlanta, GA, USA
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17
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Yang K, Du R, Yang Q, Zhao R, Fan F, Chen S, Luo X, Tan S, Wang Z, Yu T, Tian B, Le TM, Li CSR, Tan Y. Cortical thickness of the inferior parietal lobule as a potential predictor of relapse in men with alcohol dependence. RESEARCH SQUARE 2023:rs.3.rs-2628081. [PMID: 36945425 PMCID: PMC10029073 DOI: 10.21203/rs.3.rs-2628081/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
Abstract
Background Alcohol dependence (AD) is a disorder with a high recurrence rate that leads to a considerable public health burden. The risk of relapse appears to be related to a complex interplay of multiple factors. Herein, we aimed to explore the potential neural predictors of relapse in Chinese male patients with AD. Methods This study enrolled 58 male patients with AD who had undergone acute detoxification. General demographic information and clinical features were collected. Magnetic resonance imaging (MRI) data were used to measure cortical thickness across 34 regions of the brain. Patients were followed up at 6 months, and 51 patients completed the follow-up visit. These patients were divided into a relapser and an abstainer group. A binary logistic regression analysis was performed to investigate the potential risk factors of relapse. Results Compared to abstainers, relapsers showed higher inattention and non-planning impulsivity on the 11th version of the Barratt Impulsive Scale. The cortical thicknesses of the inferior-parietal lobule were significantly greater in abstainers compared with those in relapsers. Furthermore, binary logistic regression analysis showed that the thickness of the inferior parietal lobule predicted relapse. Conclusions Relapsers show poorer impulse control than abstainers, and MRI imaging shows a decreased thickness of the inferior parietal lobule in relapsers. Our results indicate the thickness of the inferior parietal lobule as a potential relapse predictor in male patients with AD.
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Affiliation(s)
- Kebing Yang
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital
| | - Ruonan Du
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital
| | - Qingyan Yang
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital
| | - Rongjiang Zhao
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital
| | - Fengmei Fan
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital
| | - Song Chen
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital
| | | | - Shuping Tan
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital
| | - Zhiren Wang
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital
| | - Ting Yu
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital
| | - Baopeng Tian
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital
| | | | | | - Yunlong Tan
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital
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18
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Ruiz-España S, Ortiz-Ramón R, Pérez-Ramírez Ú, Díaz-Parra A, Ciccocioppo R, Bach P, Vollstädt-Klein S, Kiefer F, Sommer WH, Canals S, Moratal D. MRI texture-based radiomics analysis for the identification of altered functional networks in alcoholic patients and animal models. Comput Med Imaging Graph 2023; 104:102187. [PMID: 36696812 DOI: 10.1016/j.compmedimag.2023.102187] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 11/28/2022] [Accepted: 01/09/2023] [Indexed: 01/22/2023]
Abstract
Alcohol use disorder (AUD) is a complex condition representing a leading risk factor for death, disease and disability. Its high prevalence and severe health consequences make necessary a better understanding of the brain network alterations to improve diagnosis and treatment. The purpose of this study was to evaluate the potential of resting-state fMRI 3D texture features as a novel source of biomarkers to identify AUD brain network alterations following a radiomics approach. A longitudinal study was conducted in Marchigian Sardinian alcohol-preferring msP rats (N = 36) who underwent resting-state functional and structural MRI before and after 30 days of alcohol or water consumption. A cross-sectional human study was also conducted among 33 healthy controls and 35 AUD patients. The preprocessed functional data corresponding to control and alcohol conditions were used to perform a probabilistic independent component analysis, identifying seven independent components as resting-state networks. Forty-three radiomic features extracted from each network were compared using a Wilcoxon signed-rank test with Holm correction to identify the network most affected by alcohol consumption. Features extracted from this network were then used in the machine learning process, evaluating two feature selection methods and six predictive models within a nested cross-validation structure. The classification was evaluated by computing the area under the ROC curve. Images were quantized using different numbers of gray-levels to test their influence on the results. The influence of ageing, data preprocessing, and brain iron accumulation were also analyzed. The methodology was validated using structural scans. The striatal network in alcohol-exposed msP rats presented the most significant number of altered features. The radiomics approach supported this result achieving good classification performance in animals (AUC = 0.915 ± 0.100, with 12 features) and humans (AUC = 0.724 ± 0.117, with 9 features) using a random forest model. Using the structural scans, high accuracy was achieved with a multilayer perceptron in both species (animals: AUC > 0.95 with 2 features, humans: AUC > 0.82 with 18 features). The best results were obtained using a feature selection method based on the p-value. The proposed radiomics approach is able to identify AUD patients and alcohol-exposed rats with good accuracy, employing a subset of 3D features extracted from fMRI. Furthermore, it can help identify relevant networks in drug addiction.
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Affiliation(s)
- Silvia Ruiz-España
- Center for Biomaterials and Tissue Engineering, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia, Spain
| | - Rafael Ortiz-Ramón
- GRID Research Group, Universidad Internacional de Valencia - VIU, Valencia, Spain
| | - Úrsula Pérez-Ramírez
- Center for Biomaterials and Tissue Engineering, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia, Spain
| | - Antonio Díaz-Parra
- Center for Biomaterials and Tissue Engineering, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia, Spain
| | | | - Patrick Bach
- Department of Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Sabine Vollstädt-Klein
- Department of Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Falk Kiefer
- Department of Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Wolfgang H Sommer
- Department of Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Institute of Psychopharmacology, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Santiago Canals
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas, Universidad Miguel Hernández, Campus de San Juan, 03550 Sant Joan d'Alacant, Spain.
| | - David Moratal
- Center for Biomaterials and Tissue Engineering, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia, Spain.
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19
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Miller AP, Gizer IR. Dual-systems models of the genetic architecture of impulsive personality traits: Neurogenetic evidence of distinct but related factors. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.02.10.23285725. [PMID: 36824800 PMCID: PMC9949186 DOI: 10.1101/2023.02.10.23285725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Background Dual-systems models provide a parsimonious framework for understanding the interplay between cortical and subcortical brain regions relevant to impulsive personality traits (IPTs) and their associations with psychiatric disorders. Despite recent developments in multivariate analysis of genome-wide association studies (GWAS), molecular genetic investigations of these models have not been conducted. Methods Using extant IPT GWAS, we conducted confirmatory genomic structural equation models (GenomicSEM) to empirically evaluate dual-systems models of the genetic architecture of IPTs. Genetic correlations between results of multivariate GWAS of dual-systems factors and GWAS of relevant cortical and subcortical neuroimaging phenotypes (regional/structural volume, cortical surface area, cortical thickness) were calculated and compared. Results Evaluation of GenomicSEM model fit indices for dual-systems models suggested that these models highlight important sources of shared and unique genetic variance between top-down and bottom-up constructs. Specifically, a dual-systems genomic model consisting of sensation seeking and lack of self-control factors demonstrated distinct but related sources of genetic influences ( r g =.60). Genetic correlation analyses provided evidence of differential associations between dual-systems factors and cortical neuroimaging phenotypes (e.g., lack of self-control negatively associated with cortical thickness, sensation seeking positively associated with cortical surface area). However, no significant associations were observed for subcortical phenotypes inconsistent with hypothesized functional localization of dual-systems constructs. Conclusions Dual-systems models of the genetic architecture of IPTs tested here demonstrate evidence of shared and unique genetic influences and associations with relevant neuroimaging phenotypes. These findings emphasize potential advantages in utilizing dual-systems models to study genetic influences for IPTs and transdiagnostic associations with psychiatric disorders.
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20
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Woisard K, Steinberg JL, Ma L, Zuniga E, Lennon M, Moeller FG. Executive control network resting state fMRI functional and effective connectivity and delay discounting in cocaine dependent subjects compared to healthy controls. Front Psychiatry 2023; 14:1117817. [PMID: 36911119 PMCID: PMC9997846 DOI: 10.3389/fpsyt.2023.1117817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 02/06/2023] [Indexed: 02/25/2023] Open
Abstract
Resting state functional magnetic resonance imaging (fMRI) has been used to study functional connectivity of brain networks in addictions. However, most studies to-date have focused on the default mode network (DMN) with fewer studies assessing the executive control network (ECN) and salience network (SN), despite well-documented cognitive executive behavioral deficits in addictions. The present study assessed the functional and effective connectivity of the ECN, DMN, and SN in cocaine dependent subjects (CD) (n = 22) compared to healthy control subjects (HC) (n = 22) matched on age and education. This study also investigated the relationship between impulsivity measured by delay discounting and functional and effective connectivity of the ECN, DMN, and SN. The Left ECN (LECN), Right ECN (RECN), DMN, and SN functional networks were identified using FSL MELODIC independent component analysis. Functional connectivity differences between CD and HC were assessed using FSL Dual Regression analysis and FSLNets. Effective connectivity differences between CD and HC were measured using the Parametric Empirical Bayes module of Dynamic Causal Modeling. The relationship between delay discounting and functional and effective connectivity were examined using regression analyses. Dynamic causal modeling (DCM) analysis showed strong evidence (posterior probability > 0.95) for CD to have greater effective connectivity than HC in the RECN to LECN pathway when tobacco use was included as a factor in the model. DCM analysis showed strong evidence for a positive association between delay discounting and effective connectivity for the RECN to LECN pathway and for the DMN to DMN self-connection. There was strong evidence for a negative association between delay discounting and effective connectivity for the DMN to RECN pathway and for the SN to DMN pathway. Results also showed strong evidence for a negative association between delay discounting and effective connectivity for the RECN to SN pathway in CD but a positive association in HC. These novel findings provide preliminary support that RECN effective connectivity may differ between CD and HC after controlling for tobacco use. RECN effective connectivity may also relate to tobacco use and impulsivity as measured by delay discounting.
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Affiliation(s)
- Kyle Woisard
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA, United States.,Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, United States
| | - Joel L Steinberg
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA, United States.,Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, United States.,Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States
| | - Liangsuo Ma
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA, United States.,Department of Radiology, Virginia Commonwealth University, Richmond, VA, United States
| | - Edward Zuniga
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA, United States.,Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, United States
| | - Michael Lennon
- Department of Radiology, Virginia Commonwealth University, Richmond, VA, United States
| | - F Gerard Moeller
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA, United States.,Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, United States.,Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States.,Department of Pharmacology and Toxicology, Virginia Commonwealth University, Richmond, VA, United States.,Department of Neurology, Virginia Commonwealth University, Richmond, VA, United States
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21
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Canessa N, Basso G, Manera M, Poggi P, Gianelli C. Functional Coherence in Intrinsic Frontal Executive Networks Predicts Cognitive Impairments in Alcohol Use Disorder. Brain Sci 2022; 13:45. [PMID: 36672027 PMCID: PMC9856140 DOI: 10.3390/brainsci13010045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 12/03/2022] [Accepted: 12/22/2022] [Indexed: 12/28/2022] Open
Abstract
Growing evidence highlights the potential of innovative rehabilitative interventions such as cognitive remediation and neuromodulation, aimed at reducing relapses in Alcohol Use Disorder (AUD). Enhancing their effectiveness requires a thorough description of the neural correlates of cognitive alterations in AUD. Past related attempts, however, were limited by the focus on selected neuro-cognitive variables. We aimed to fill this gap by combining, in 22 AUD patients and 18 controls, an extensive neuro-cognitive evaluation and metrics of intrinsic connectivity as highlighted by resting-state brain activity. We addressed an inherent property of intrinsic activity such as intra-network coherence, the temporal correlation of the slow synchronous fluctuations within resting-state networks, representing an early biomarker of alterations in the functional brain architecture underlying cognitive functioning. AUD patients displayed executive impairments involving working-memory, attention and visuomotor speed, reflecting abnormal coherence of activity and grey matter atrophy within default mode, in addition to the attentional and the executive networks. The stronger relationship between fronto-lateral coherent activity and executive performance in patients than controls highlighted possible compensatory mechanisms counterbalancing the decreased functionality of networks driving the switch from automatic to controlled behavior. These results provide novel insights into AUD patients' cognitive impairments, their neural bases, and possible targets of rehabilitative interventions.
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Affiliation(s)
- Nicola Canessa
- IUSS Cognitive Neuroscience (ICON) Center, Scuola Universitaria Superiore IUSS, 27100 Pavia, Italy
- Istituti Clinici Scientifici Maugeri IRCCS, Cognitive Neuroscience Laboratory of Pavia Institute, 27100 Pavia, Italy
| | - Gianpaolo Basso
- School of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy
| | - Marina Manera
- Istituti Clinici Scientifici Maugeri IRCCS, Clinical Psychology Unit of Pavia Institute, 27100 Pavia, Italy
| | - Paolo Poggi
- Istituti Clinici Scientifici Maugeri IRCCS, Radiology Unit of Pavia Institute, 27100 Pavia, Italy
| | - Claudia Gianelli
- IUSS Cognitive Neuroscience (ICON) Center, Scuola Universitaria Superiore IUSS, 27100 Pavia, Italy
- Department of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy
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22
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Manuweera T, Kisner MA, Almira E, Momenan R. Alcohol use disorder-associated structural and functional characteristics of the insula. J Neurosci Res 2022; 100:2077-2089. [PMID: 35946335 PMCID: PMC11059243 DOI: 10.1002/jnr.25113] [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: 01/12/2021] [Revised: 06/27/2022] [Accepted: 07/18/2022] [Indexed: 11/07/2022]
Abstract
Based on our current understanding of insular regions, effects of chronic alcohol use on the insula may affect the integration of sensory-motor, socio-emotional, and cognitive function. There is no comprehensive understanding about these differences in individuals with alcohol use disorder that accounts for both structural and functional differences related to chronic alcohol use. The purpose of this study was to investigate these variations in both the anterior and posterior insula in persons with alcohol use disorder. We investigated insula gray matter volume, morphometry, white matter structural connectivity, and resting state functional connectivity in 75 participants with alcohol use disorder (females = 27) and 75 age-matched healthy control participants (females = 39). Results indicated structural differences mostly in the anterior regions, while functional connectivity differences were observed in both the anterior and posterior insula in those with alcohol use disorder. Differing connectivity was observed with frontal, parietal, occipital, cingulate, cerebellar, and temporal brain regions. While these results align with prior studies showing differences primarily in anterior insular regions, they also contribute to the existing literature suggesting differences in anterior insular connectivity with brain regions shown to be engaged during higher cognitive and emotional tasks.
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Affiliation(s)
- Thushini Manuweera
- Clinical NeuroImaging Research Core, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
| | - Mallory A Kisner
- Clinical NeuroImaging Research Core, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
| | - Erika Almira
- Clinical NeuroImaging Research Core, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
| | - Reza Momenan
- Clinical NeuroImaging Research Core, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
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23
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Siste K, Pandelaki J, Miyata J, Oishi N, Tsurumi K, Fujiwara H, Murai T, Nasrun MW, Wiguna T, Bardosono S, Sekartini R, Sarasvita R, Murtani BJ, Sen LT, Firdaus KK. Altered Resting-State Network in Adolescents with Problematic Internet Use. J Clin Med 2022; 11:jcm11195838. [PMID: 36233704 PMCID: PMC9570959 DOI: 10.3390/jcm11195838] [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: 09/05/2022] [Revised: 09/26/2022] [Accepted: 09/27/2022] [Indexed: 11/09/2022] Open
Abstract
Problematic internet use (PIU) is increasingly recognized as a mental health concern, particularly among adolescents. The resting-state functional connectivity (rsFC) of the triple-network model has been described inconsistently in PIU. Using resting-state fMRI (rsFMRI) and hypothesizing a lower rsFC between default mode (DMN) and central executive networks (CEN) but a higher rsFC within the salience network (SN), this study scrutinized the neural substrates of PIU adolescents. A total of 30 adolescents with PIU and 30 control subjects underwent rsFMRI. The severity of PIU was evaluated by the Internet Addiction Test. Additionally, personality traits as well as emotional and behavioral problems were evaluated by the Temperament and Character Inventory (TCI) and the Strength and Difficulties Questionnaire (SDQ), respectively. Focusing on the DMN, SN, and CEN, we compared rsFC values between PIU and the control. Subsequently, within the combined group of subjects, TCI and SDQ correlation and mediation effects were investigated. Higher rsFC values of the left lateral prefrontal cortex (LPFC(L)) with the left anterior insula (aIns(L)) were observed for PIU than for the control, while rsFCs of the LPFC(L) with the medial PFC (MPFC), LPFC(L), as well as with the right lateral parietal cortex (LP(R)) were lower for PIU. Among these significant group differences, the rsFC between the LPFC(L) and MPFC was mediated by emotional symptoms (standardized β = −0.12, 95% CI −0.29, −0.0052). The dysfunctional attention switching and incentive salience regulated by the SN were implicated as being a neural correlate of PIU, and this relationship would in part be explained by the emotional dysregulation associated with PIU in adolescents.
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Affiliation(s)
- Kristiana Siste
- Department of Psychiatry, Faculty of Medicine, Universitas Indonesia—Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta 10430, Indonesia
| | - Jacub Pandelaki
- Department of Radiology, Faculty of Medicine, Universitas Indonesia—Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta 10430, Indonesia
- Correspondence:
| | - Jun Miyata
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan
| | - Naoya Oishi
- Medical Innovation Center, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan
| | - Kosuke Tsurumi
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan
| | - Hironobu Fujiwara
- Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan
- Decentralized Big Data Team, RIKEN Center for Advanced Intelligence Project, Tokyo 103-0027, Japan
- The General Research Division, Osaka University Research Center on Ethical, Legal, and Social Issues, Osaka 565-0871, Japan
| | - Toshiya Murai
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan
| | - Martina Wiwie Nasrun
- Department of Psychiatry, Faculty of Medicine, Universitas Indonesia—Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta 10430, Indonesia
| | - Tjhin Wiguna
- Department of Psychiatry, Faculty of Medicine, Universitas Indonesia—Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta 10430, Indonesia
| | - Saptawati Bardosono
- Department of Clinical Nutrition, Faculty of Medicine, Universitas Indonesia—Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta 10430, Indonesia
| | - Rini Sekartini
- Department of Pediatrics, Faculty of Medicine, Universitas Indonesia—Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta 10430, Indonesia
| | - Riza Sarasvita
- Faculty of Psychology, Soegijapranata University, Central Java 50234, Indonesia
| | - Belinda Julivia Murtani
- Department of Psychiatry, Faculty of Medicine, Universitas Indonesia—Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta 10430, Indonesia
| | - Lee Thung Sen
- Department of Psychiatry, Faculty of Medicine, Universitas Indonesia—Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta 10430, Indonesia
| | - Karina Kalani Firdaus
- Department of Psychiatry, Faculty of Medicine, Universitas Indonesia—Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta 10430, Indonesia
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24
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Lesnewich LM, Pawlak AP, Gohel S, Bates ME. Functional connectivity in the central executive network predicts changes in binge drinking behavior during emerging adulthood: an observational prospective study. Addiction 2022; 117:1899-1907. [PMID: 35129227 DOI: 10.1111/add.15828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 01/13/2022] [Indexed: 12/01/2022]
Abstract
BACKGROUND AND AIMS Binge drinking contributes to the immense public health burden associated with alcohol use, especially among younger drinkers. Little is known about the underlying neurobiology of changes in this behavior over time. This preliminary study aimed to identify neurobiological markers of binge drinking behavior change during emerging adulthood. DESIGN Observational prospective investigation of neurobiological predictors of binge drinking behavior. SETTING Communities surrounding a large, public university in the northeastern United States. PARTICIPANTS A total of 42 emerging adults (48% female), approximately half meeting criteria for an alcohol use disorder. MEASUREMENTS Past month binge drinking, the dependent variable, was assessed at two time-points (T1, T2) via self-report. Ten indices of resting-state functional connectivity within the central executive network (CEN), a brain network involved in executive function, were collected at T1 and specified as independent variables in cross-sectional and prospective Poisson models. All models controlled for age, sex, and alcohol use disorder status. FINDINGS The cross-sectional model yielded five significant associations between CEN connectivity and binge drinking incidence. Connections anchored primarily in the anterior CEN exhibited negative associations with binge drinking incidence (P = 0.001, 0.004, 0.011), and connections stemming from the right posterior parietal cortex exhibited positive associations with binge drinking incidence (P = 0.041, 0.045). In prospective models, stronger frontoparietal connectivity between the right dorsolateral prefrontal cortex and left posterior parietal cortex predicted greater increases in binge drinking incidence over time (P = 0.003). CONCLUSIONS There is an association between central executive network connectivity and heavy drinking, as well as evidence that functional pathways within the central executive network may contribute to changes in problematic drinking behaviors.
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Affiliation(s)
- Laura M Lesnewich
- Department of Psychology, Rutgers University-New Brunswick, Piscataway, NJ, USA.,Center of Alcohol and Substance Use Studies, Rutgers University-New Brunswick, Piscataway, NJ, USA.,War Related Illness and Injury Study Center, Veterans Affairs New Jersey Health Care System, East Orange, NJ, USA
| | - Anthony P Pawlak
- Center of Alcohol and Substance Use Studies, Rutgers University-New Brunswick, Piscataway, NJ, USA.,Graduate School of Applied and Professional Psychology, Rutgers University-New Brunswick, Piscataway, NJ, USA
| | - Suril Gohel
- Department of Health Informatics, School of Health Professions, Rutgers University-Newark, Newark, NJ, USA
| | - Marsha E Bates
- Center of Alcohol and Substance Use Studies, Rutgers University-New Brunswick, Piscataway, NJ, USA.,Department of Kinesiology and Health, Rutgers University-New Brunswick, New Brunswick, NJ, USA
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25
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Fede SJ, Kisner MA, Manuweera T, Kerich M, Momenan R. Compounding Vulnerability in the Neurocircuitry of Addiction: Longitudinal Functional Connectivity Changes in Alcohol Use Disorder. Alcohol Alcohol 2022; 57:712-721. [PMID: 35760068 DOI: 10.1093/alcalc/agac028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 05/16/2022] [Accepted: 05/21/2022] [Indexed: 11/14/2022] Open
Abstract
AIMS The addiction neurocircuitry model describes the role of several brain circuits (drug reward, negative emotionality and craving/executive control) in alcohol use and subsequent development of alcohol use disorder (AUD). Human studies examining longitudinal change using resting-state functional magnetic resonance imaging (rs-fMRI) are needed to understand how functional changes to these circuits are caused by or contribute to continued AUD. METHODS In order to characterize how intrinsic functional connectivity changes with sustained AUD, we analyzed rs-fMRI data from individuals with (n = 18; treatment seeking and non-treatment seeking) and without (n = 21) AUD collected on multiple visits as part of various research studies at the NIAAA intramural program from 2012 to 2020. RESULTS Results of the seed correlation analysis showed that individuals with AUD had an increase in functional connectivity over time between emotionality and craving neurocircuits, and a decrease between executive control and reward networks. Post hoc investigations of AUD severity and alcohol consumption between scans revealed an additive effect of these AUD features in many of the circuits, such that more alcohol consumption or more severe AUD was associated with more pronounced changes to synchronicity. CONCLUSIONS These findings suggest an increased concordance of networks underlying emotionality and compulsions toward drinking while also a reduction in control network connectivity, consistent with the addiction neurocircuitry model. Further, they suggest a compounding effect of continued heavy drinking on these vulnerabilities in neurocircuitry. More longitudinal research is necessary to understand the trajectories of individuals with AUD not adequately represented in this study, as well as whether this can inform effective harm reduction strategies.
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Affiliation(s)
- Samantha J Fede
- Clinical NeuroImaging Research Core, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, 10 Center Drive, MSC 1108, Bethesda, MD 20892, USA.,Department of Psychological Sciences, Auburn University, 226 Thach Hall, Auburn, AL 36849, USA
| | - Mallory A Kisner
- Clinical NeuroImaging Research Core, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, 10 Center Drive, MSC 1108, Bethesda, MD 20892, USA
| | - Thushini Manuweera
- Clinical NeuroImaging Research Core, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, 10 Center Drive, MSC 1108, Bethesda, MD 20892, USA
| | - Mike Kerich
- Clinical NeuroImaging Research Core, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, 10 Center Drive, MSC 1108, Bethesda, MD 20892, USA
| | - Reza Momenan
- Clinical NeuroImaging Research Core, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, 10 Center Drive, MSC 1108, Bethesda, MD 20892, USA
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Zhu T, Becquey C, Chen Y, Lejuez CW, Li CSR, Bi J. Identifying alcohol misuse biotypes from neural connectivity markers and concurrent genetic associations. Transl Psychiatry 2022; 12:253. [PMID: 35710901 PMCID: PMC9203552 DOI: 10.1038/s41398-022-01983-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 05/18/2022] [Accepted: 05/25/2022] [Indexed: 11/08/2022] Open
Abstract
Alcohol use behaviors are highly heterogeneous, posing significant challenges to etiologic research of alcohol use disorder (AUD). Magnetic resonance imaging (MRI) provides intermediate endophenotypes in characterizing problem alcohol use and assessing the genetic architecture of addictive behavior. We used connectivity features derived from resting state functional MRI to subtype alcohol misuse (AM) behavior. With a machine learning pipeline of feature selection, dimension reduction, clustering, and classification we identified three AM biotypes-mild, comorbid, and moderate AM biotypes (MIA, COA, and MOA)-from a Human Connectome Project (HCP) discovery sample (194 drinkers). The three groups and controls (397 non-drinkers) demonstrated significant differences in alcohol use frequency during the heaviest 12-month drinking period (MOA > MIA; COA > non-drinkers) and were distinguished by connectivity features involving the frontal, parietal, subcortical and default mode networks. Further, COA relative to MIA, MOA and controls endorsed significantly higher scores in antisocial personality. A genetic association study identified that an alcohol use and antisocial behavior related variant rs16930842 from LINC01414 was significantly associated with COA. Using a replication HCP sample (28 drinkers and 46 non-drinkers), we found that subtyping helped in classifying AM from controls (area under the curve or AUC = 0.70, P < 0.005) in comparison to classifiers without subtyping (AUC = 0.60, not significant) and successfully reproduced the genetic association. Together, the results suggest functional connectivities as important features in classifying AM subgroups and the utility of reducing the heterogeneity in connectivity features among AM subgroups in advancing the research of etiological neural markers of AUD.
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Affiliation(s)
- Tan Zhu
- Department of Computer Science and Engineering, School of Engineering, University of Connecticut, Storrs, CT, USA
| | - Chloe Becquey
- Department of Computer Science and Engineering, School of Engineering, University of Connecticut, Storrs, CT, USA
| | - Yu Chen
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT, USA
| | - Carl W Lejuez
- Department of Psychological Sciences, College of Liberal Arts and Sciences, University of Connecticut, Storrs, CT, USA
| | - Chiang-Shan R Li
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT, USA
- Department of Neuroscience, School of Medicine, Yale University, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - Jinbo Bi
- Department of Computer Science and Engineering, School of Engineering, University of Connecticut, Storrs, CT, USA.
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27
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Degiorgis L, Arefin TM, Ben-Hamida S, Noblet V, Antal C, Bienert T, Reisert M, von Elverfeldt D, Kieffer BL, Harsan LA. Translational Structural and Functional Signatures of Chronic Alcohol Effects in Mice. Biol Psychiatry 2022; 91:1039-1050. [PMID: 35654559 DOI: 10.1016/j.biopsych.2022.02.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 02/08/2022] [Accepted: 02/10/2022] [Indexed: 12/27/2022]
Abstract
BACKGROUND Alcohol acts as an addictive substance that may lead to alcohol use disorder. In humans, magnetic resonance imaging showed diverse structural and functional brain alterations associated with this complex pathology. Single magnetic resonance imaging modalities are used mostly but are insufficient to portray and understand the broad neuroadaptations to alcohol. Here, we combined structural and functional magnetic resonance imaging and connectome mapping in mice to establish brain-wide fingerprints of alcohol effects with translatable potential. METHODS Mice underwent a chronic intermittent alcohol drinking protocol for 6 weeks before being imaged under medetomidine anesthesia. We performed open-ended multivariate analysis of structural data and functional connectivity mapping on the same subjects. RESULTS Structural analysis showed alcohol effects for the prefrontal cortex/anterior insula, hippocampus, and somatosensory cortex. Integration with microglia histology revealed distinct alcohol signatures, suggestive of advanced (prefrontal cortex/anterior insula, somatosensory cortex) and early (hippocampus) inflammation. Functional analysis showed major alterations of insula, ventral tegmental area, and retrosplenial cortex connectivity, impacting communication patterns for salience (insula), reward (ventral tegmental area), and default mode (retrosplenial cortex) networks. The insula appeared as a most sensitive brain center across structural and functional analyses. CONCLUSIONS This study demonstrates alcohol effects in mice, which possibly underlie lower top-down control and impaired hedonic balance documented at the behavioral level, and aligns with neuroimaging findings in humans despite the potential limitation induced by medetomidine sedation. This study paves the way to identify further biomarkers and to probe neurobiological mechanisms of alcohol effects using genetic and pharmacological manipulations in mouse models of alcohol drinking and dependence.
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Affiliation(s)
- Laetitia Degiorgis
- Integrative Multimodal Imaging in Healthcare team, UMR 7357, Laboratory of Engineering, Informatics and Imaging (ICube); Department of Psychiatry, University of Strasbourg, Strasbourg, France
| | - Tanzil Mahmud Arefin
- Department of Radiology, Medical Physics, University Medical Center Freiburg, Faculty of Medicine, University Freiburg, Freiburg, Germany; Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York
| | - Sami Ben-Hamida
- INSERM U1114, University Hospital of Strasbourg, Strasbourg, France; INSERM U1247, research group on alcohol and pharmacodependance (GRAP), University of Picardie Jules-Verne, Amiens, France
| | - Vincent Noblet
- Images, Learning, Geometry and Statistics team, UMR 7357, Laboratory of Engineering, Informatics and Imaging (ICube); Department of Psychiatry, University of Strasbourg, Strasbourg, France
| | - Cristina Antal
- Integrative Multimodal Imaging in Healthcare team, UMR 7357, Laboratory of Engineering, Informatics and Imaging (ICube); Department of Psychiatry, University of Strasbourg, Strasbourg, France; Faculty of Medicine, Histology Institute and Unité Fonctionnelle de Foetopathologie, University Hospital of Strasbourg, Strasbourg, France
| | - Thomas Bienert
- Department of Radiology, Medical Physics, University Medical Center Freiburg, Faculty of Medicine, University Freiburg, Freiburg, Germany
| | - Marco Reisert
- Department of Radiology, Medical Physics, University Medical Center Freiburg, Faculty of Medicine, University Freiburg, Freiburg, Germany
| | - Dominik von Elverfeldt
- Department of Radiology, Medical Physics, University Medical Center Freiburg, Faculty of Medicine, University Freiburg, Freiburg, Germany
| | | | - Laura-Adela Harsan
- Integrative Multimodal Imaging in Healthcare team, UMR 7357, Laboratory of Engineering, Informatics and Imaging (ICube); Department of Psychiatry, University of Strasbourg, Strasbourg, France; Department of Biophysics and Nuclear Medicine, University Hospital of Strasbourg, Strasbourg, France.
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28
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Pérez-García JM, Suárez-Suárez S, Doallo S, Cadaveira F. Effects of binge drinking during adolescence and emerging adulthood on the brain: A systematic review of neuroimaging studies. Neurosci Biobehav Rev 2022; 137:104637. [PMID: 35339481 DOI: 10.1016/j.neubiorev.2022.104637] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 01/19/2022] [Accepted: 03/21/2022] [Indexed: 02/07/2023]
Abstract
Binge drinking (BD) is a common pattern of alcohol consumption which is generating great concern because of its deleterious consequences. We selected 33 neuroimaging studies of healthy young binge drinkers (BDs) by following PRISMA guidelines. This review provides a comprehensive overview of the relationship between BD and neurocognitive anomalies reported across magnetic resonance studies. Moreover, this work is the first in which results of relatively new imaging techniques, such as resting-state functional connectivity (RS-FC) and neurite orientation dispersion and density imaging (NODDI), have been reviewed using a systematic procedure. We established strict inclusion criteria in order to isolate the various potential effects of BD on the adolescent brain. Two authors independently evaluated the methodological quality, assessing different aspects related to sample size, and statistical correction methods, which are of particular importance in neuroimaging studies. BD is associated with structural and functional anomalies in several cortical and subcortical brain regions intimately involved in the control and regulation of impulsive or risky behaviours, as well as in the processing of reinforcing stimuli.
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Affiliation(s)
- Jose Manuel Pérez-García
- Department of Clinical Psychology and Psychobiology, Universidade de Santiago de Compostela, Santiago de Compostela, Galicia, Spain.
| | - Samuel Suárez-Suárez
- Department of Clinical Psychology and Psychobiology, Universidade de Santiago de Compostela, Santiago de Compostela, Galicia, Spain.
| | - Sonia Doallo
- Department of Clinical Psychology and Psychobiology, Universidade de Santiago de Compostela, Santiago de Compostela, Galicia, Spain.
| | - Fernando Cadaveira
- Department of Clinical Psychology and Psychobiology, Universidade de Santiago de Compostela, Santiago de Compostela, Galicia, Spain.
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29
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Pérez-Ramírez Ú, López-Madrona VJ, Pérez-Segura A, Pallarés V, Moreno A, Ciccocioppo R, Hyytiä P, Sommer WH, Moratal D, Canals S. Brain Network Allostasis after Chronic Alcohol Drinking Is Characterized by Functional Dedifferentiation and Narrowing. J Neurosci 2022; 42:4401-4413. [PMID: 35437279 PMCID: PMC9145238 DOI: 10.1523/jneurosci.0389-21.2022] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 03/25/2022] [Accepted: 03/30/2022] [Indexed: 11/21/2022] Open
Abstract
Alcohol use disorder (AUD) causes complex alterations in the brain that are poorly understood. The heterogeneity of drinking patterns and the high incidence of comorbid factors compromise mechanistic investigations in AUD patients. Here we used male Marchigian Sardinian alcohol-preferring (msP) rats, a well established animal model of chronic alcohol drinking, and a combination of longitudinal resting-state fMRI and manganese-enhanced MRI to provide objective measurements of brain connectivity and activity, respectively. We found that 1 month of chronic alcohol drinking changed the correlation between resting-state networks. The change was not homogeneous, resulting in the reorganization of pairwise interactions and a shift in the equilibrium of functional connections. We identified two fundamentally different forms of network reorganization. First is functional dedifferentiation, which is defined as a regional increase in neuronal activity and overall correlation, with a concomitant decrease in preferential connectivity between specific networks. Through this mechanism, occipital cortical areas lost their specific interaction with sensory-insular cortex, striatal, and sensorimotor networks. Second is functional narrowing, which is defined as an increase in neuronal activity and preferential connectivity between specific brain networks. Functional narrowing strengthened the interaction between striatal and prefrontocortical networks, involving the anterior insular, cingulate, orbitofrontal, prelimbic, and infralimbic cortices. Importantly, these two types of alterations persisted after alcohol discontinuation, suggesting that dedifferentiation and functional narrowing rendered persistent network states. Our results support the idea that chronic alcohol drinking, albeit at moderate intoxicating levels, induces an allostatic change in the brain functional connectivity that propagates into early abstinence.SIGNIFICANCE STATEMENT Excessive consumption of alcohol is positioned among the top five risk factors for disease and disability. Despite this priority, the transformations that the nervous system undergoes from an alcohol-naive state to a pathologic alcohol drinking are not well understood. In our study, we use an animal model with proven translational validity to study this transformation longitudinally. The results show that shortly after chronic alcohol consumption there is an increase in redundant activity shared by brain structures, and the specific communication shrinks to a set of pathways. This functional dedifferentiation and narrowing are not reversed immediately after alcohol withdrawal but persist during early abstinence. We causally link chronic alcohol drinking with an early and abstinence-persistent retuning of the functional equilibrium of the brain.
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Affiliation(s)
- Úrsula Pérez-Ramírez
- Center for Biomaterials and Tissue Engineering, Universitat Politècnica de València, E-46022 Valencia, Spain
| | - Víctor J López-Madrona
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas, Universidad Miguel Hernández, 03550 Sant Joan d'Alacant, Spain
| | - Andrés Pérez-Segura
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas, Universidad Miguel Hernández, 03550 Sant Joan d'Alacant, Spain
| | - Vicente Pallarés
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas, Universidad Miguel Hernández, 03550 Sant Joan d'Alacant, Spain
| | - Andrea Moreno
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas, Universidad Miguel Hernández, 03550 Sant Joan d'Alacant, Spain
| | | | - Petri Hyytiä
- Department of Pharmacology, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Wolfgang H Sommer
- Institute of Psychopharmacology, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, 68159 Mannheim, Germany
| | - David Moratal
- Center for Biomaterials and Tissue Engineering, Universitat Politècnica de València, E-46022 Valencia, Spain
| | - Santiago Canals
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas, Universidad Miguel Hernández, 03550 Sant Joan d'Alacant, Spain
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30
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Smart K, Worhunsky PD, Scheinost D, Angarita GA, Esterlis I, Carson RE, Krystal JH, O'Malley SS, Cosgrove KP, Hillmer AT. Multimodal neuroimaging of metabotropic glutamate 5 receptors and functional connectivity in alcohol use disorder. Alcohol Clin Exp Res 2022; 46:770-782. [PMID: 35342968 PMCID: PMC9117461 DOI: 10.1111/acer.14816] [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: 11/17/2021] [Revised: 03/15/2022] [Accepted: 03/19/2022] [Indexed: 12/01/2022]
Abstract
BACKGROUND People recovering from alcohol use disorder (AUD) show altered resting brain connectivity. The metabotropic glutamate 5 (mGlu5) receptor is an important regulator of synaptic plasticity potentially linked with synchronized brain activity and a target of interest in treating AUD. The goal of this work was to assess potential relationships of brain connectivity at rest with mGlu5 receptor availability in people with AUD at two time points early in abstinence. METHODS Forty-eight image data sets were acquired with a multimodal neuroimaging battery that included resting-state functional magnetic resonance imaging (fMRI) and mGlu5 receptor positron emission tomography (PET) with the radiotracer [18 F]FPEB. Participants with AUD (n = 14) were scanned twice, at approximately 1 and 4 weeks after beginning supervised abstinence. [18 F]FPEB PET results were published previously. Primary comparisons of fMRI outcomes were performed between the AUD group and healthy controls (HCs; n = 23) and assessed changes over time within the AUD group. Relationships between resting-state connectivity measures and mGlu5 receptor availability were explored within groups. RESULTS Compared to HCs, global functional connectivity of the orbitofrontal cortex was higher in the AUD group at 4 weeks of abstinence (p = 0.003), while network-level functional connectivity within the default mode network (DMN) was lower (p < 0.04). Exploratory multimodal analyses showed that mGlu5 receptor availability was correlated with global connectivity across all brain regions (HCs, r = 0.41; AUD group at 1 week of abstinence, r = 0.50 and at 4 weeks, r = 0.46; all p < 0.0001). Furthermore, a component of cortical and striatal mGlu5 availability was correlated with connectivity between the DMN and salience networks in HCs (r = 0.60, p = 0.003) but not in the AUD group (p > 0.3). CONCLUSIONS These preliminary findings of altered global and network connectivity during the first month of abstinence from drinking may reflect the loss of efficient network function, while exploratory relationships with mGlu5 receptor availability suggest a potential glutamatergic relationship with network coherence.
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Affiliation(s)
- Kelly Smart
- Yale PET Center, Yale School of Medicine, New Haven, Connecticut, USA.,Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA
| | - Patrick D Worhunsky
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
| | - Dustin Scheinost
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA.,Department of Biomedical Engineering, Yale School of Engineering & Applied Science, New Haven, Connecticut, USA
| | - Gustavo A Angarita
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
| | - Irina Esterlis
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
| | - Richard E Carson
- Yale PET Center, Yale School of Medicine, New Haven, Connecticut, USA.,Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA.,Department of Biomedical Engineering, Yale School of Engineering & Applied Science, New Haven, Connecticut, USA
| | - John H Krystal
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
| | | | - Kelly P Cosgrove
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA.,Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
| | - Ansel T Hillmer
- Yale PET Center, Yale School of Medicine, New Haven, Connecticut, USA.,Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA.,Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA.,Department of Biomedical Engineering, Yale School of Engineering & Applied Science, New Haven, Connecticut, USA
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31
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Differentiating Individuals with and without Alcohol Use Disorder Using Resting-State fMRI Functional Connectivity of Reward Network, Neuropsychological Performance, and Impulsivity Measures. Behav Sci (Basel) 2022; 12:bs12050128. [PMID: 35621425 PMCID: PMC9137599 DOI: 10.3390/bs12050128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 04/11/2022] [Accepted: 04/27/2022] [Indexed: 11/17/2022] Open
Abstract
Individuals with alcohol use disorder (AUD) may manifest an array of neural and behavioral abnormalities, including altered brain networks, impaired neurocognitive functioning, and heightened impulsivity. Using multidomain measures, the current study aimed to identify specific features that can differentiate individuals with AUD from healthy controls (CTL), utilizing a random forests (RF) classification model. Features included fMRI-based resting-state functional connectivity (rsFC) across the reward network, neuropsychological task performance, and behavioral impulsivity scores, collected from thirty abstinent adult males with prior history of AUD and thirty CTL individuals without a history of AUD. It was found that the RF model achieved a classification accuracy of 86.67% (AUC = 93%) and identified key features of FC and impulsivity that significantly contributed to classifying AUD from CTL individuals. Impulsivity scores were the topmost predictors, followed by twelve rsFC features involving seventeen key reward regions in the brain, such as the ventral tegmental area, nucleus accumbens, anterior insula, anterior cingulate cortex, and other cortical and subcortical structures. Individuals with AUD manifested significant differences in impulsivity and alterations in functional connectivity relative to controls. Specifically, AUD showed heightened impulsivity and hypoconnectivity in nine connections across 13 regions and hyperconnectivity in three connections involving six regions. Relative to controls, visuo-spatial short-term working memory was also found to be impaired in AUD. In conclusion, specific multidomain features of brain connectivity, impulsivity, and neuropsychological performance can be used in a machine learning framework to effectively classify AUD individuals from healthy controls.
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Ji Y, Shi L, Cheng Q, Fu WW, Zhong PP, Huang SQ, Chen XL, Wu XR. Abnormal Large-Scale Neuronal Network in High Myopia. Front Hum Neurosci 2022; 16:870350. [PMID: 35496062 PMCID: PMC9051506 DOI: 10.3389/fnhum.2022.870350] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 03/14/2022] [Indexed: 11/16/2022] Open
Abstract
Aim Resting state functional magnetic resonance imaging (rs-fMRI) was used to analyze changes in functional connectivity (FC) within various brain networks and functional network connectivity (FNC) among various brain regions in patients with high myopia (HM). Methods rs-fMRI was used to scan 82 patients with HM (HM group) and 59 healthy control volunteers (HC group) matched for age, sex, and education level. Fourteen resting state networks (RSNs) were extracted, of which 11 were positive. Then, the FCs and FNCs of RSNs in HM patients were examined by independent component analysis (ICA). Results Compared with the HC group, FC in visual network 1 (VN1), dorsal attention network (DAN), auditory network 2 (AN2), visual network 3 (VN3), and sensorimotor network (SMN) significantly increased in the HM group. FC in default mode network 1 (DMN1) significantly decreased. Furthermore, some brain regions in default mode network 2 (DMN2), default mode network 3 (DMN3), auditory network 1 (AN1), executive control network (ECN), and significance network (SN) increased while others decreased. FNC analysis also showed that the network connection between the default mode network (DMN) and cerebellar network (CER) was enhanced in the HM group. Conclusion Compared with HCs, HM patients showed neural activity dysfunction within and between specific brain networks, particularly in the DMN and CER. Thus, HM patients may have deficits in visual, cognitive, and motor balance functions.
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Yang F, Li X, Hu P. The Resting-State Neural Network of Delay Discounting. Front Psychol 2022; 13:828929. [PMID: 35360605 PMCID: PMC8962669 DOI: 10.3389/fpsyg.2022.828929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 02/07/2022] [Indexed: 11/13/2022] Open
Abstract
Delay discounting is a common phenomenon in daily life, which refers to the subjective value of a future reward decreasing as a function of time. Previous studies have identified several cortical regions involved in delay discounting, but the neural network constructed by the cortical regions of delay discounting is less clear. In this study, we employed resting-state functional magnetic resonance imaging (RS-fMRI) to measure the spontaneous neural activity in a large sample of healthy young adults and used the Monetary Choice Questionnaire to directly measure participants’ level of delay discounting. To identify the neural network of delay discounting at rest, we used an individual difference approach to explore brain regions whose spontaneous activities were related to delay discounting across the whole brain. Then, these brain regions served as seeds to identify the neural network of delay discounting. We found that the fractional amplitude of low-frequency fluctuations (fALFF) of the left insula were positively correlated to delay discounting. More importantly, its connectivity to the anterior cingulate cortex was read out for participants’ behavioral performance in the task of delay discounting. In short, our study provides empirical evidence that insula-anterior cingulate cortex connectivity may serve as a part of the neural network for delay discounting.
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Cohen-Gilbert J, Nickerson L, Seraikas A, Oot E, Rieselbach M, Schuttenberg E, Sneider J, Silveri M. Large-scale brain network activation during emotional inhibitory control: Associations with alcohol misuse in college freshmen. Alcohol Clin Exp Res 2022; 46:410-421. [PMID: 35084060 PMCID: PMC8920777 DOI: 10.1111/acer.14782] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 12/20/2021] [Accepted: 01/13/2022] [Indexed: 01/24/2023]
Abstract
BACKGROUND The transition to college is associated with increased risk of alcohol misuse and a consequent increase in negative, alcohol-related social and health impacts. Traits associated with ongoing brain maturation during this period, including impulsivity in emotional contexts, could contribute to risky alcohol use. METHODS This functional magnetic resonance imaging (fMRI) study examined brain network activation strength during an emotional inhibitory control task (Go-NoGo), which required participants to ignore background images with negative or neutral emotional valence during performance. Participants were 60 college freshmen (aged 18-20 years, 33 women). Survey measures, completed at baseline and one-year follow-up (follow-up n = 52, 29 women), assessed alcohol misuse alcohol use disorders identification test (AUDIT), alcohol/substance use counseling center assessment of psychological symptoms (C-CAPS), and negative consequences of alcohol use young adult alcohol consequences questionnaire (YAACQ). Measures were examined relative to network activation strength, on the Negative NoGo > Neutral NoGo contrast, of four large-scale brain networks implicated in top-down regulation of cognition and attention: right and left lateral frontoparietal networks (rL-FPN; lL-FPN), dorsal attention network (DAN), and salience network (SN). RESULTS Activation strength of DAN was negatively associated with scores on the AUDIT (p = 0.013) and YAACQ (p = 0.004) at baseline, and with C-CAPS score at baseline and follow-up (p = 0.002; p = 0.005), and positively associated with accuracy on NoGo trials with negative backgrounds (p = 0.014). Activation strength of rL-FPN was positively associated with C-CAPS score at follow-up (p = 0.003). SN activation strength was negatively associated with accuracy on NoGo trials with negative (p < 0.001) and neutral (p = 0.002) backgrounds and with the accuracy difference between negative versus neutral NoGo trials (p = 0.003). CONCLUSION These findings suggest that less engagement of large-scale brain circuitry that supports top-down attentional control, specifically during negative emotions, is associated with more problematic drinking in emerging adults who attend college. This pattern of network activation may serve as a risk marker for ongoing self-regulation deficits during negative emotion that could increase risk of problematic alcohol use and negative impacts of drinking.
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Affiliation(s)
- J.E. Cohen-Gilbert
- Neurodevelopmental Laboratory on Addictions and Mental Health, McLean Hospital, Belmont, MA, 02478,Department of Psychiatry, Harvard Medical School, Boston, MA, 02115
| | - L.D. Nickerson
- Applied Neuroimaging Statistics Lab, McLean Hospital, Belmont, MA, 02478,Department of Psychiatry, Harvard Medical School, Boston, MA, 02115
| | - A.M. Seraikas
- Neurodevelopmental Laboratory on Addictions and Mental Health, McLean Hospital, Belmont, MA, 02478
| | - E.N. Oot
- Neurodevelopmental Laboratory on Addictions and Mental Health, McLean Hospital, Belmont, MA, 02478,Boston University School of Medicine, Boston, MA, 02118
| | | | - E.M. Schuttenberg
- Neurodevelopmental Laboratory on Addictions and Mental Health, McLean Hospital, Belmont, MA, 02478
| | - J.T. Sneider
- Neurodevelopmental Laboratory on Addictions and Mental Health, McLean Hospital, Belmont, MA, 02478,Department of Psychiatry, Harvard Medical School, Boston, MA, 02115
| | - M.M. Silveri
- Neurodevelopmental Laboratory on Addictions and Mental Health, McLean Hospital, Belmont, MA, 02478,Department of Psychiatry, Harvard Medical School, Boston, MA, 02115,Boston University School of Medicine, Boston, MA, 02118
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Sommer WH, Canals S, Bifone A, Heilig M, Hyytiä P. From a systems view to spotting a hidden island: A narrative review implicating insula function in alcoholism. Neuropharmacology 2022; 209:108989. [PMID: 35217032 DOI: 10.1016/j.neuropharm.2022.108989] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 01/30/2022] [Accepted: 02/07/2022] [Indexed: 12/31/2022]
Abstract
Excessive use of alcohol promotes the development of alcohol addiction, but the understanding of how alcohol-induced brain alterations lead to addiction remains limited. To further this understanding, we adopted an unbiased discovery strategy based on the principles of systems medicine. We used functional magnetic resonance imaging data from patients and animal models of alcohol addiction-like behaviors, and developed mathematical models of the 'relapse-prone' network states to identify brain sites and functional networks that can be selectively targeted by therapeutic interventions. Our systems level, non-local, and largely unbiased analyses converged on a few well-defined brain regions, with the insula emerging as one of the most consistent finding across studies. In proof-of-concept experiments we were able to demonstrate that it is possible to guide network dynamics towards increased resilience in animals but an initial translation into a clinical trial targeting the insula failed. Here, in a narrative review, we summarize the key experiments, methodological developments and knowledge gained from this completed round of a discovery cycle moving from identification of 'relapse-prone' network states in humans and animals to target validation and intervention trial. Future concerted efforts are necessary to gain a deeper understanding of insula function a in a state-dependent, circuit-specific and cell population perspective, and to develop the means for insula-directed interventions, before therapeutic targeting of this structure may become possible.
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Affiliation(s)
- Wolfgang H Sommer
- Institute of Psychopharmacology, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Bethania Hospital for Psychiatry, Psychosomatics, and Psychotherapy, Greifswald, Germany.
| | - Santiago Canals
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, 03550, Sant Joan d'Alacant, Spain
| | - Angelo Bifone
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Istituto Italiano di Tecnologia, Center for Sustainable Future Technologies, Torino, Italy
| | - Markus Heilig
- Center for Social and Affective Neuroscience, Linköping University and Dept. of Psychiatry, Linköping Univ. Hospital, S-581 85, Linköping, Sweden
| | - Petri Hyytiä
- Department of Pharmacology, Faculty of Medicine, University of Helsinki, Finland
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Le TM, Malone T, Li CSR. Positive alcohol expectancy and resting-state functional connectivity of the insula in problem drinking. Drug Alcohol Depend 2022; 231:109248. [PMID: 34998254 PMCID: PMC8881788 DOI: 10.1016/j.drugalcdep.2021.109248] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 12/05/2021] [Accepted: 12/06/2021] [Indexed: 02/03/2023]
Abstract
Positive alcohol expectancy (AE), a significant predictor of excessive alcohol consumption, is associated with heightened drinking motivation and reduced control. As the insula interacts with the limbic and prefrontal structures to integrate stimulus saliency, interoception, and cognitive control, the region may play a unique role in modulating AE. Here, we examined resting-state functional connectivity of the right and left insula in relation to AE in 180 adult drinkers. Whole-brain multiple regressions and path analysis were performed to delineate the inter-relationship between AE, insular connectivity, and drinking severity. We found that heightened AE was associated with diminished right insular connectivity with regions involved in negative emotion processing and self-control, including the amygdala, putamen, and ventromedial prefrontal cortex. In contrast, there was a positive relationship between AE and right insular connectivity with regions implicated in motivated responses to alcohol stimuli, including the superior parietal lobule, postcentral and superior frontal gyri. Path analysis showed that the two sets of right insular connectivity exhibited opposing associations with AE and that their net strength (i.e., "control minus motivation") was negatively correlated with AE and drinking severity. Analyses of the left insula seed, in contrast, did not yield regional connectivity in significant correlation with AE. These findings highlight the roles of right insula connectivity in motivational and regulatory processes that may differentially modulate drinking behavior. Recruitment of the motivational circuit and/or disengagement of the affective control circuit would be associated with heightened AE and heavier alcohol consumption.
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Affiliation(s)
- Thang M. Le
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, USA,Correspondence: Thang M. Le, Ph.D., Connecticut Mental Health Center, S105, 34 Park Street, New Haven, CT 06519-1109, USA, , Phone: 203-974-7360
| | - Tessa Malone
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, USA
| | - Chiang-Shan R. Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, USA,Department of Neuroscience, Yale University School of Medicine, New Haven, CT 06520, USA,Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT 06520, USA,Wu Tsai Institute, Yale University, New Haven, CT, USA
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Grundinger N, Gerhardt S, Karl D, Mann K, Kiefer F, Vollstädt-Klein S. The effects of nalmefene on the impulsive and reflective system in alcohol use disorder: A resting-state fMRI study. Psychopharmacology (Berl) 2022; 239:2471-2489. [PMID: 35426492 PMCID: PMC9293828 DOI: 10.1007/s00213-022-06137-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 03/31/2022] [Indexed: 11/12/2022]
Abstract
RATIONALE Central aspects of alcohol use disorder (AUD) are the irresistible desire for alcohol and impaired control over its intake. According to the triadic neurocognitive model of addiction, this arises from aberrant functioning of different neural and cognitive systems: an impulsive system, a reflective system, and the abnormal dynamics between both systems based on an insular-dependent system. OBJECTIVES In this study, we examined the effects of a single dose of nalmefene on resting-state functional connectivity (rsFC) patterns within and between these addiction-related neural systems in AUD. METHODS Non-treatment seeking participants with AUD (N = 17; 19-66 years, 6 female) took part in a randomized, placebo-controlled, double-blind, crossover study and received either a single dose of 18 mg nalmefene or a placebo. Using seed-based correlation analyses on resting-state functional magnetic resonance imaging data, we examined the effects of nalmefene on key nodes related to the (1) impulsive system; (2) reflective system; (3) salience network; and (4) default mode network. RESULTS Under nalmefene, participants showed reduced rsFC between components of the impulsive system (Nucleus accumbens-putamen/pallidum/insula). Reduced rsFC was found between elements of the reflective system and impulsive system (orbitofrontal cortex-insula/putamen/pallidum), salience network (orbitofrontal cortex-insula/inferior frontal gyrus), and default mode network (lateral prefrontal cortex-precuneus/cuneus). Components of the salience network showed both increased (anterior cingulate cortex) and decreased (insular cortex) rsFC to elements of the reflective system. CONCLUSION A single dose of nalmefene impacts rsFC and alters the interaction between key nodes of addiction-related neural systems in non-treatment seeking participants with AUD. Nalmefene may normalize rsFC patterns by weakening the impulsive system while strengthening the reflective system. TRIAL REGISTRATION clinicaltrials.gov: NCT02372318.
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Affiliation(s)
- Nadja Grundinger
- grid.413757.30000 0004 0477 2235Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, PO Box 12 21 20, 68072 Mannheim, Germany
| | - Sarah Gerhardt
- grid.413757.30000 0004 0477 2235Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, PO Box 12 21 20, 68072 Mannheim, Germany
| | - Damian Karl
- grid.413757.30000 0004 0477 2235Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, PO Box 12 21 20, 68072 Mannheim, Germany
| | - Karl Mann
- grid.413757.30000 0004 0477 2235Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, PO Box 12 21 20, 68072 Mannheim, Germany
| | - Falk Kiefer
- grid.413757.30000 0004 0477 2235Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, PO Box 12 21 20, 68072 Mannheim, Germany ,grid.7700.00000 0001 2190 4373Feuerlein Center On Translational Addiction Medicine (FCTS), University of Heidelberg, Heidelberg, Germany ,grid.7700.00000 0001 2190 4373Mannheim Center for Translational Neurosciences (MCTN), Medical Faculty of Mannheim, University of Heidelberg, Mannheim, Germany
| | - Sabine Vollstädt-Klein
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, PO Box 12 21 20, 68072, Mannheim, Germany. .,Mannheim Center for Translational Neurosciences (MCTN), Medical Faculty of Mannheim, University of Heidelberg, Mannheim, Germany.
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Li H, Zhao D, Liu Y, Xv J, Huang H, Jin Y, Lu Y, Qi Y, Zhou Q. Are There Neural Overlaps of Reactivity to Illegal Drugs, Tobacco, and Alcohol Cues? With Evidence From ALE and CMA. Front Psychiatry 2022; 13:779239. [PMID: 35463497 PMCID: PMC9019580 DOI: 10.3389/fpsyt.2022.779239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Accepted: 03/07/2022] [Indexed: 11/13/2022] Open
Abstract
Abuses of most illegal drugs, including methamphetamine, marijuana, cocaine, heroin, and polydrug, are usually in conjunction with alcohol and tobacco. There are similarities and associations between the behavior, gene, and neurophysiology of such abusers, but the neural overlaps of their cue-reactivity and the correlation of neural overlap with drug craving still needs to be further explored. In this study, an Activation Likelihood Estimation (ALE) was performed on brain activation under legal (tobacco, alcohol) and illegal drug cues, for identifying the similarities in brain functions between different craving states. A Comprehensive meta-analysis (CMA) on the correlation coefficient between brain activation and craving scores in the selected literatures with subjective craving reports explained the degree of the craving via brain imaging results. In ALE, co-activation areas of the three cue-reactivity (posterior cingulate, caudate, and thalamus) suggest that the three cue-reactivity may all arouse drug-use identity which is a predictor of relapse and generation of conditioned reflexes under reward memory, thus leading to illegal drug relapses. In CMA, the brain activation was significantly correlated with subjective craving, with a correlation coefficient of 0.222. The neural overlap of tobacco, alcohol and most of the prevalent illegal drug cues not only further helps us understand the neural mechanism of substance co-abuse and relapse, but also provides implications to detoxification. Furthermore, the correlation between brain activation and craving is low, suggesting the accuracy of craving-based quantitative evaluation by neuroimaging remains unclear.
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Affiliation(s)
- HuiLing Li
- Department of Psychology, Wenzhou Medical University, Wenzhou, China
| | - Dong Zhao
- Department of Psychology, Wenzhou Medical University, Wenzhou, China
| | - YuQing Liu
- Department of Psychology, Wenzhou Medical University, Wenzhou, China
| | - JingWen Xv
- Department of Psychology, Wenzhou Medical University, Wenzhou, China
| | - HanZhi Huang
- Department of Psychology, Wenzhou Medical University, Wenzhou, China
| | - Yutong Jin
- Department of Psychology, Wenzhou Medical University, Wenzhou, China
| | - Yiying Lu
- Mental Health Education and Counseling Center, Lingnan Normal University, Zhanjiang, China
| | - YuanYuan Qi
- Zhejiang Moganshan Female Drug Detoxification Center, Huzhou, China
| | - Qiang Zhou
- Department of Psychology, Wenzhou Medical University, Wenzhou, China.,The Affiliated Kangning Hospital, Wenzhou Medical University, Wenzhou, China
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Xiao Z, Chen Z, Chen W, Gao W, He L, Wang Q, Lei X, Qiu J, Feng T, Chen H, Turel O, Bechara A, He Q. OUP accepted manuscript. Cereb Cortex 2022; 32:4605-4618. [PMID: 35059700 PMCID: PMC9383225 DOI: 10.1093/cercor/bhab505] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 12/04/2021] [Accepted: 12/05/2021] [Indexed: 11/14/2022] Open
Abstract
The Coronavirus disease of 2019 (COVID-19) and measures to curb it created population-level changes in male-dominant impulsive and risky behaviors such as violent crimes and gambling. One possible explanation for this is that the pandemic has been stressful, and males, more so than females, tend to respond to stress by altering their focus on immediate versus delayed rewards, as reflected in their delay discounting rates. Delay discounting rates from healthy undergraduate students were collected twice during the pandemic. Discounting rates of males (n=190) but not of females (n=493) increased during the pandemic. Using machine learning, we show that prepandemic functional connectome predict increased discounting rates in males (n=88). Moreover, considering that delay discounting is associated with multiple psychiatric disorders, we found the same neural pattern that predicted increased discounting rates in this study, in secondary datasets of patients with major depression and schizophrenia. The findings point to sex-based differences in maladaptive delay discounting under real-world stress events, and to connectome-based neuromarkers of such effects. They can explain why there was a population-level increase in several impulsive and risky behaviors during the pandemic and point to intriguing questions about the shared underlying mechanisms of stress responses, psychiatric disorders and delay discounting.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | - Qinghua He
- Address correspondence to Qinghua He, Faculty of Psychology, Southwest University, 2 Tiansheng Road, 400715 Chongqing, China. , Tel: +86-13647691390
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Wu F, Dong P, Wu G, Deng J, Ni Z, Gao X, Li P, Li B, Yuan J, Sun H. Impulsive trait mediates the relationship between white matter integrity of prefrontal-striatal circuits and the severity of dependence in alcoholism. Front Psychiatry 2022; 13:985948. [PMID: 36159935 PMCID: PMC9490322 DOI: 10.3389/fpsyt.2022.985948] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 08/15/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Alcohol dependence (AD) remains one of the major public health concerns. Impulsivity plays a central role in the transfer from recreational alcohol use to dependence and relapse. White matter dysfunction has been implicated in alcohol addiction behaviors and impulsivity. However, little is known about the role of systematic striatal structural connections underlying the mechanism of impulsive traits in AD. METHODS In our study, we used seed-based classification by probabilistic tractography with five target masks of striatal circuits to explore the differences in white matter integrity (fractional anisotropy, FA) in AD male patients (N = 51) and healthy controls (N = 27). We mainly explored the correlation between FA of the striatal circuits and impulsive traits (Barratt Impulsiveness Scale, BIS-11), and the mediation role of impulsivity in white matter integrity and the severity of alcohol dependence. RESULTS Compared with healthy controls, AD showed much lower FA in the left and right striatum-supplementary motor area (SMA) and left striatum-amygdala. We also found the decreased FA of right striatum-vlPFC was correlated with higher impulsivity. Besides, the relationship between reduced FA of right striatum-vlPFC and severity of dependence could be mediated by impulsivity. CONCLUSION In our study, we found disrupted white matter integrity in systematic striatal circuits in AD and the decreased FA of right striatum-vlPFC was correlated with higher impulsivity in AD. Our main findings provide evidence for reduced white matter integrity of systematic striatal circuits and the underlying mechanisms of impulsivity in male AD individuals.
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Affiliation(s)
- Fei Wu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Ping Dong
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Guowei Wu
- Chinese Institute for Brain Research, Beijing, China
| | - Jiahui Deng
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Zhaojun Ni
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Xuejiao Gao
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Peng Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Bing Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Junliang Yuan
- Department of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Hongqiang Sun
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
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Maleki N, Sawyer KS, Levy S, Harris GJ, Oscar-Berman M. Intrinsic brain functional connectivity patterns in alcohol use disorder. Brain Commun 2022; 4:fcac290. [PMID: 36419966 PMCID: PMC9679426 DOI: 10.1093/braincomms/fcac290] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 08/28/2022] [Accepted: 11/03/2022] [Indexed: 11/06/2022] Open
Abstract
Alcohol use disorder is associated with damaging effects to the brain. This study aimed to examine differences in static and dynamic intrinsic functional connectivity patterns in individuals with a history of alcohol use disorder in comparison to those with no history of alcohol abuse. A total of 55 participants consisting of 23 patients and 32 control individuals underwent neuropsychological assessments and resting-state functional magnetic resonance imaging on a 3 Tesla MRI scanner. Differences in functional connectivity between the two groups were determined using static and dynamic independent component analysis. Differences in static functional connectivity between the two groups were identified in the default mode network, attention network, frontoparietal network, frontal cortical network and cerebellar network. Furthermore, the analyses revealed specific differences in the dynamic temporal characteristics of functional connectivity between the two groups of participants, in a cluster involving key regions in reward, sensorimotor and frontal cortical functional networks, with some connections correlating with the length of sobriety and some others with the severity of drinking. The findings altogether suggest dysregulation in the intrinsic connectivity of cortico-basal ganglia-thalamo-cortical loops that may reflect persistent alcohol use disorder-related network abnormalities, compensatory recovery-related processes whereby additional neural resources are recruited to achieve normal levels of performance, or a predisposition toward developing alcohol use disorder.
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Affiliation(s)
- Nasim Maleki
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA.,Psychology Research Service, VA Healthcare System, Jamaica Plain Campus, Boston, MA 02130, USA
| | - Kayle S Sawyer
- Psychology Research Service, VA Healthcare System, Jamaica Plain Campus, Boston, MA 02130, USA.,Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA 02118, USA.,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA.,Sawyer Scientific, LLC, Boston, MA 02130, USA
| | - Sarah Levy
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Gordon J Harris
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA
| | - Marlene Oscar-Berman
- Psychology Research Service, VA Healthcare System, Jamaica Plain Campus, Boston, MA 02130, USA.,Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA 02118, USA.,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA
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Dalle Molle R, de Mendonça Filho EJ, Minuzzi L, Machado TD, Reis RS, Rodrigues DM, Mucellini AB, Franco AR, Buchweitz A, Toazza R, Bortoluzzi A, Salum GA, Boscenco S, Meaney MJ, Levitan RD, Manfro GG, Silveira PP. Thrifty-Eating Behavior Phenotype at the Food Court - Programming Goes Beyond Food Preferences. Front Endocrinol (Lausanne) 2022; 13:882532. [PMID: 35677721 PMCID: PMC9168906 DOI: 10.3389/fendo.2022.882532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 04/14/2022] [Indexed: 11/18/2022] Open
Abstract
INTRODUCTION Prenatal growth impairment leads to higher preference for palatable foods in comparison to normal prenatal growth subjects, which can contribute to increased body fat mass and a higher risk for developing chronic diseases in small-for-gestational-age (SGA) individuals throughout life. This study aimed to investigate the effect of SGA on feeding behavior in children and adolescents, as well as resting-state connectivity between areas related to reward, self-control, and value determination, such as orbitofrontal cortex (OFC), dorsolateral prefrontal cortex (DL-PFC), amygdala and dorsal striatum (DS). METHODS Caregivers and their offspring were recruited from two independent cohorts in Brazil (PROTAIA) and Canada (MAVAN). Both cohorts included anthropometric measurements, food choice tasks, and resting-state functional magnetic resonance imaging (fMRI) data. RESULTS In the Brazilian sample (17 ± 0.28 years, n=70), 21.4% of adolescents were classified as SGA. They exhibited lower monetary-related expenditure to buy a snack compared to controls in the food choice test. Decreased functional connectivity (n=40) between left OFC and left DL-PFC; and between right OFC and: left amygdala, right DS, and left DS were observed in the Brazilian SGA participants. Canadian SGA participants (14.9%) had non-significant differences in comparison with controls in a food choice task at 4 years old ( ± 0.01, n=315). At a follow-up brain scan visit (10.21 ± 0.140 years, n=49), SGA participants (28.6%) exhibited higher connectivity between the left OFC and left DL-PFC, also higher connectivity between the left OFC and right DL-PFC. We did not observe significant anthropometric neither nutrients' intake differences between groups in both samples. CONCLUSIONS Resting-state fMRI results showed that SGA individuals had altered connectivity between areas involved in encoding the subjective value for available goods and decision-making in both samples, which can pose them in disadvantage when facing food options daily. Over the years, the cumulative exposure to particular food cues together with the altered behavior towards food, such as food purchasing, as seen in the adolescent cohort, can play a role in the long-term risk for developing chronic non-communicable diseases.
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Affiliation(s)
- Roberta Dalle Molle
- Programa de Pós-Graduação em Ciências da Nutrição, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Montreal, QC, Canada
- Programa de Pós-Graduação em Saúde da Criança e do Adolescente, Faculdade de Medicina, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Euclides José de Mendonça Filho
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Luciano Minuzzi
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Tania Diniz Machado
- Programa de Pós-Graduação em Saúde da Criança e do Adolescente, Faculdade de Medicina, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Roberta Sena Reis
- Programa de Pós-Graduação em Saúde da Criança e do Adolescente, Faculdade de Medicina, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Faculdade de Nutrição, Universidade Federal de Goiás, Goiânia, Brazil
| | - Danitsa Marcos Rodrigues
- Programa de Pós-Graduação em Neurociências, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Amanda Brondani Mucellini
- Programa de Pós-Graduação em Ciências Médicas: Psiquiatria, Faculdade de Medicina, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Alexandre Rosa Franco
- Instituto do Cérebro (InsCer), Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
- Faculdade de Medicina, Programa de Pós-Graduação em Medicina e Ciências da Saúde, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
- Faculdade de Engenharia, Programa de Pós-Graduação em Engenharia Elétrica, PUCRS, Porto Alegre, Brazil
| | - Augusto Buchweitz
- Instituto do Cérebro (InsCer), Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
- Faculdade de Medicina, Programa de Pós-Graduação em Medicina e Ciências da Saúde, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
- Faculdade de Letras, Programa de Pós-Graduação em Letras, Linguística, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
| | - Rudineia Toazza
- Programa de Pós-Graduação em Neurociências, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Andressa Bortoluzzi
- Programa de Pós-Graduação em Neurociências, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Giovanni Abrahão Salum
- Programa de Pós-Graduação em Ciências Médicas: Psiquiatria, Faculdade de Medicina, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Sonia Boscenco
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Michael J. Meaney
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore
| | - Robert D. Levitan
- Department of Psychiatry, University of Toronto and Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Gisele Gus Manfro
- Programa de Pós-Graduação em Neurociências, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Programa de Pós-Graduação em Ciências Médicas: Psiquiatria, Faculdade de Medicina, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Patricia Pelufo Silveira
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- *Correspondence: Patricia Pelufo Silveira,
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Bordier C, Weil G, Bach P, Scuppa G, Nicolini C, Forcellini G, Pérez‐Ramirez U, Moratal D, Canals S, Hoffmann S, Hermann D, Vollstädt‐Klein S, Kiefer F, Kirsch P, Sommer WH, Bifone A. Increased network centrality of the anterior insula in early abstinence from alcohol. Addict Biol 2022; 27:e13096. [PMID: 34467604 PMCID: PMC9286046 DOI: 10.1111/adb.13096] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 08/07/2021] [Accepted: 08/11/2021] [Indexed: 12/12/2022]
Abstract
Abnormal resting‐state functional connectivity, as measured by functional magnetic resonance imaging (MRI), has been reported in alcohol use disorders (AUD), but findings are so far inconsistent. Here, we exploited recent developments in graph‐theoretical analyses, enabling improved resolution and fine‐grained representation of brain networks, to investigate functional connectivity in 35 recently detoxified alcohol dependent patients versus 34 healthy controls. Specifically, we focused on the modular organization, that is, the presence of tightly connected substructures within a network, and on the identification of brain regions responsible for network integration using an unbiased approach based on a large‐scale network composed of more than 600 a priori defined nodes. We found significant reductions in global connectivity and region‐specific disruption in the network topology in patients compared with controls. Specifically, the basal brain and the insular–supramarginal cortices, which form tightly coupled modules in healthy subjects, were fragmented in patients. Further, patients showed a strong increase in the centrality of the anterior insula, which exhibited stronger connectivity to distal cortical regions and weaker connectivity to the posterior insula. Anterior insula centrality, a measure of the integrative role of a region, was significantly associated with increased risk of relapse. Exploratory analysis suggests partial recovery of modular structure and insular connectivity in patients after 2 weeks. These findings support the hypothesis that, at least during the early stages of abstinence, the anterior insula may drive exaggerated integration of interoceptive states in AUD patients with possible consequences for decision making and emotional states and that functional connectivity is dynamically changing during treatment.
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Affiliation(s)
- Cecile Bordier
- Center for Neuroscience and Cognitive Systems Istituto Italiano di Tecnologia Rovereto Italy
- Univ. Lille, Inserm, CHU Lille, U1172 ‐ LilNCog ‐ Lille Neuroscience & Cognition Lille France
| | - Georg Weil
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim University of Heidelberg Mannheim Germany
| | - Patrick Bach
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim University of Heidelberg Mannheim Germany
| | - Giulia Scuppa
- Center for Neuroscience and Cognitive Systems Istituto Italiano di Tecnologia Rovereto Italy
| | - Carlo Nicolini
- Center for Neuroscience and Cognitive Systems Istituto Italiano di Tecnologia Rovereto Italy
| | - Giulia Forcellini
- Center for Neuroscience and Cognitive Systems Istituto Italiano di Tecnologia Rovereto Italy
- Center for Mind/Brain Sciences University of Trento Trento Italy
| | - Ursula Pérez‐Ramirez
- Center for Biomaterials and Tissue Engineering Universitat Politècnica de València Valencia Spain
| | - David Moratal
- Center for Biomaterials and Tissue Engineering Universitat Politècnica de València Valencia Spain
| | - Santiago Canals
- Instituto de Neurociencias Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández San Juan de Alicante Spain
| | - Sabine Hoffmann
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim University of Heidelberg Mannheim Germany
| | - Derik Hermann
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim University of Heidelberg Mannheim Germany
| | - Sabine Vollstädt‐Klein
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim University of Heidelberg Mannheim Germany
| | - Falk Kiefer
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim University of Heidelberg Mannheim Germany
| | - Peter Kirsch
- Department for Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim University of Heidelberg Mannheim Germany
| | - Wolfgang H. Sommer
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim University of Heidelberg Mannheim Germany
- Institute of Psychopharmacology, Central Institute of Mental Health, Medical Faculty Mannheim University of Heidelberg Mannheim Germany
| | - Angelo Bifone
- Center for Neuroscience and Cognitive Systems Istituto Italiano di Tecnologia Rovereto Italy
- Department of Molecular Biotechnology and Health Sciences University of Torino Torino Italy
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Topiwala A, Ebmeier KP, Maullin-Sapey T, Nichols TE. Alcohol consumption and MRI markers of brain structure and function: Cohort study of 25,378 UK Biobank participants. Neuroimage Clin 2022; 35:103066. [PMID: 35653911 PMCID: PMC9163992 DOI: 10.1016/j.nicl.2022.103066] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 05/25/2022] [Accepted: 05/26/2022] [Indexed: 12/15/2022]
Abstract
Moderate alcohol consumption is widespread but its impact on brain structure and function is contentious. The relationship between alcohol intake and structural and functional neuroimaging indices, the threshold intake for associations, and whether population subgroups are at higher risk of alcohol-related brain harm remain unclear. 25,378 UK Biobank participants (mean age 54.9 ± 7.4 years, 12,254 female) underwent multi-modal MRI 9.6 ± 1.1 years after study baseline. Alcohol use was self-reported at baseline (2006-10). T1-weighted, diffusion weighted and resting state images were examined. Lower total grey matter volumes were observed in those drinking as little as 7-14 units (56-112 g) weekly. Higher alcohol consumption was associated with multiple markers of white matter microstructure, including lower fractional anisotropy, higher mean and radial diffusivity in a spatially distributed pattern across the brain. Associations between functional connectivity and alcohol intake were observed in the default mode, central executive, attention, salience and visual resting state networks. Relationships between total grey matter and alcohol were stronger than other modifiable factors, including blood pressure and smoking, and robust to unobserved confounding. Frequent binging, higher blood pressure and BMI steepened the negative association between alcohol and total grey matter volume. In this large observational cohort study, alcohol consumption was associated with multiple structural and functional MRI markers in mid- to late-life.
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Affiliation(s)
- Anya Topiwala
- Nuffield Department Population Health, Big Data Institute, University of Oxford, Oxford OX3 7LF, UK.
| | - Klaus P Ebmeier
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford OX3 7JX, UK
| | - Thomas Maullin-Sapey
- Nuffield Department Population Health, Big Data Institute, University of Oxford, Oxford OX3 7LF, UK
| | - Thomas E Nichols
- Nuffield Department Population Health, Big Data Institute, University of Oxford, Oxford OX3 7LF, UK; Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK
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45
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Chen J, Wang F, Zhu J, Li Y, Liu W, Xue J, Shi H, Li W, Li Q, Wang W. Assessing effect of long-term abstinence on coupling of three core brain networks in male heroin addicts: A resting-state functional magnetic resonance imaging study. Addict Biol 2021; 26:e12982. [PMID: 33142364 DOI: 10.1111/adb.12982] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 09/03/2020] [Accepted: 10/09/2020] [Indexed: 01/29/2023]
Abstract
Abstinence is one of the important measures for heroin addiction. However, it is unknown whether long-term abstinence (LA) would improve the coupling among three core brain networks (salience, default mode, and executive control) and decrease craving in treated heroin addicts. Forty-three heroin addicts with LA, 27 heroin addicts with short-term abstinence (SA), and 46 demographically matched healthy controls (HC) participated in the resting-state functional magnetic resonance imaging study. The authors compared the functional connectivity among the three groups and examined how the coupling among salience, default mode, and executive control networks related to duration of abstinence and craving before and after drug cue exposure among heroin addicts. Compared with the SA group, with a tendency toward the HC group, the LA group showed lower drug cue-induced craving, stronger connectivity between the dorsal anterior cingulate cortex (a key node of salience network) and left dorsolateral prefrontal cortex and right posterior parietal cortex (key nodes of executive control network), and stronger connectivity between the right dorsolateral prefrontal cortex and precuneus (a key node of default mode network). Meanwhile, the right dorsolateral prefrontal cortex-precuneus connectivity positively correlated with duration of abstinence. The LA and SA groups demonstrated lower connectivity between the left anterior insula (a key node of salience network) and dorsolateral prefrontal cortex and lower connectivity within the left dorsolateral prefrontal cortex, compared with the HC group. Our findings revealed that LA is associated with lower drug cue induced craving and improve the coupling among the three core brain networks in heroin addicts.
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Affiliation(s)
- Jiajie Chen
- Department of Radiology, Tangdu Hospital Fourth Military Medical University Xi'an China
| | - Fan Wang
- Department of Radiology, Tangdu Hospital Fourth Military Medical University Xi'an China
| | - Jia Zhu
- Department of Radiology, Tangdu Hospital Fourth Military Medical University Xi'an China
| | - Yongbin Li
- Department of Radiology, Tangdu Hospital Fourth Military Medical University Xi'an China
| | - Wei Liu
- Department of Radiology, Tangdu Hospital Fourth Military Medical University Xi'an China
| | - Jiuhua Xue
- Department of Radiology, Tangdu Hospital Fourth Military Medical University Xi'an China
| | - Hong Shi
- Department of Radiology, Tangdu Hospital Fourth Military Medical University Xi'an China
| | - Wei Li
- Department of Radiology, Tangdu Hospital Fourth Military Medical University Xi'an China
| | - Qiang Li
- Department of Radiology, Tangdu Hospital Fourth Military Medical University Xi'an China
| | - Wei Wang
- Department of Radiology, Tangdu Hospital Fourth Military Medical University Xi'an China
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Binge drinking is associated with altered resting state functional connectivity of reward-salience and top down control networks. Brain Imaging Behav 2021; 14:1731-1746. [PMID: 31073695 DOI: 10.1007/s11682-019-00107-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Binge drinking is characterized by bouts of high-intensity alcohol intake and is associated with an array of health-related harms. Even though the transition from occasional impulsive to addictive alcohol use is not well understood, neurobiological models of addiction suggest that repeated cycles of intoxication and withdrawal contribute to the development of addiction in part through dysregulation of neurofunctional networks. Research on the neural sequelae associated with binge drinking is scant but resting state functional connectivity (RSFC) studies of alcohol use disorders (AUD) indicate that the development and maintenance of long-term excessive drinking may be mediated by network-level disruptions. The present study examined RSFC in young adult binge (BD) and light (LD) drinkers with seeds representing the networks subserving reward (the nucleus accumbens and caudate nucleus), salience (anterior cingulate cortex, ACC), and executive control (inferior frontal cortex, IFC). BDs exhibited enhanced connectivity between the striatal reward areas and the orbitofrontal cortex and the ACC, which is consistent with AUD studies and may be indicative of alcohol-motivated appetitive behaviors. Conversely, BDs demonstrated lower connectivity between the IFC and hippocampus which was associated with higher craving. This may indicate impaired ability to suppress unwanted thoughts and a failure to employ memory of the harmful consequences of heavy drinking in prospective plans and intentions. The observed greater connectivity of the reward/salience network and the lower prefrontal-hippocampal connectivity were associated with hazardous drinking levels indicating that dysregulation of neurofunctional networks may underlie binge drinking patterns.
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47
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Cao KX, Ma ML, Wang CZ, Iqbal J, Si JJ, Xue YX, Yang JL. TMS-EEG: An emerging tool to study the neurophysiologic biomarkers of psychiatric disorders. Neuropharmacology 2021; 197:108574. [PMID: 33894219 DOI: 10.1016/j.neuropharm.2021.108574] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Revised: 03/08/2021] [Accepted: 04/15/2021] [Indexed: 01/02/2023]
Abstract
The etiology of psychiatric disorders remains largely unknown. The exploration of the neurobiological mechanisms of mental illness helps improve diagnostic efficacy and develop new therapies. This review focuses on the application of concurrent transcranial magnetic stimulation and electroencephalography (TMS-EEG) in various mental diseases, including major depressive disorder, bipolar disorder, schizophrenia, autism spectrum disorder, attention-deficit/hyperactivity disorder, substance use disorder, and insomnia. First, we summarize the commonly used protocols and output measures of TMS-EEG; then, we review the literature exploring the alterations in neural patterns, particularly cortical excitability, plasticity, and connectivity alterations, and studies that predict treatment responses and clinical states in mental disorders using TMS-EEG. Finally, we discuss the potential mechanisms underlying TMS-EEG in establishing biomarkers for psychiatric disorders and future research directions.
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Affiliation(s)
- Ke-Xin Cao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
| | - Mao-Liang Ma
- Department of Clinical Psychology, Tianjin Medical University General Hospital Airport Site, Tianjin, China
| | - Cheng-Zhan Wang
- Department of Clinical Psychology, Tianjin Medical University General Hospital, Tianjin, China
| | - Javed Iqbal
- School of Psychology, Shaanxi Normal University and Key Laboratory for Behavior and Cognitive Neuroscience of Shaanxi Province, Xi'an, China
| | - Ji-Jian Si
- Department of Clinical Psychology, Tianjin Medical University General Hospital, Tianjin, China
| | - Yan-Xue Xue
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China; Key Laboratory for Neuroscience of Ministry of Education and Neuroscience, National Health and Family Planning Commission, Peking University, Beijing, China.
| | - Jian-Li Yang
- Department of Clinical Psychology, Tianjin Medical University General Hospital, Tianjin, China.
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Farré‐Colomés À, Gerhardt S, Luderer M, Sobanski E, Kiefer F, Vollstädt‐Klein S. Common and distinct neural connectivity in attention‐deficit/hyperactivity disorder and alcohol use disorder studied using resting‐state functional magnetic resonance imaging. Alcohol Clin Exp Res 2021; 45:948-960. [DOI: 10.1111/acer.14593] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 02/10/2021] [Accepted: 03/02/2021] [Indexed: 12/11/2022]
Affiliation(s)
- Àlvar Farré‐Colomés
- Department of Addictive Behavior and Addiction Medicine Central Institute of Mental Health Medical Faculty Mannheim University of Heidelberg Mannheim Germany
| | - Sarah Gerhardt
- Department of Addictive Behavior and Addiction Medicine Central Institute of Mental Health Medical Faculty Mannheim University of Heidelberg Mannheim Germany
| | - Mathias Luderer
- Department of Psychiatry Psychosomatic Medicine and Psychotherapy University Hospital Goethe University Frankfurt Germany
| | - Esther Sobanski
- Department of Psychiatry and Psychotherapy Central Institute of Mental Health Medical Faculty Mannheim University of Heidelberg Mannheim Germany
- Department of Child and Adolescent Psychiatry University Medical Center Mainz Mainz Germany
| | - Falk Kiefer
- Department of Addictive Behavior and Addiction Medicine Central Institute of Mental Health Medical Faculty Mannheim University of Heidelberg Mannheim Germany
- Mannheim Center for Translational Neurosciences (MCTN) Medical Faculty Mannheim University of Heidelberg Mannheim Germany
- Feuerlein Center on Translational Addiction Medicine University of Heidelberg Heidelberg Germany
| | - Sabine Vollstädt‐Klein
- Department of Addictive Behavior and Addiction Medicine Central Institute of Mental Health Medical Faculty Mannheim University of Heidelberg Mannheim Germany
- Mannheim Center for Translational Neurosciences (MCTN) Medical Faculty Mannheim University of Heidelberg Mannheim Germany
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Zhao Q, Sullivan EV, Műller‐Oehring EM, Honnorat N, Adeli E, Podhajsky S, Baker FC, Colrain IM, Prouty D, Tapert SF, Brown SA, Meloy MJ, Brumback T, Nagel BJ, Morales AM, Clark DB, Luna B, De Bellis MD, Voyvodic JT, Nooner KB, Pfefferbaum A, Pohl KM. Adolescent alcohol use disrupts functional neurodevelopment in sensation seeking girls. Addict Biol 2021; 26:e12914. [PMID: 32428984 DOI: 10.1111/adb.12914] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 02/20/2020] [Accepted: 04/17/2020] [Indexed: 01/11/2023]
Abstract
Exogenous causes, such as alcohol use, and endogenous factors, such as temperament and sex, can modulate developmental trajectories of adolescent neurofunctional maturation. We examined how these factors affect sexual dimorphism in brain functional networks in youth drinking below diagnostic threshold for alcohol use disorder (AUD). Based on the 3-year, annually acquired, longitudinal resting-state functional magnetic resonance imaging (MRI) data of 526 adolescents (12-21 years at baseline) from the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) cohort, developmental trajectories of 23 intrinsic functional networks (IFNs) were analyzed for (1) sexual dimorphism in 259 participants who were no-to-low drinkers throughout this period; (2) sex-alcohol interactions in two age- and sex-matched NCANDA subgroups (N = 76 each), half no-to-low, and half moderate-to-heavy drinkers; and (3) moderating effects of gender-specific alcohol dose effects and a multifactorial impulsivity measure on IFN connectivity in all NCANDA participants. Results showed that sex differences in no-to-low drinkers diminished with age in the inferior-occipital network, yet girls had weaker within-network connectivity than boys in six other networks. Effects of adolescent alcohol use were more pronounced in girls than boys in three IFNs. In particular, girls showed greater within-network connectivity in two motor networks with more alcohol consumption, and these effects were mediated by sensation-seeking only in girls. Our results implied that drinking might attenuate the naturally diminishing sexual differences by disrupting the maturation of network efficiency more severely in girls. The sex-alcohol-dose effect might explain why women are at higher risk of alcohol-related health and psychosocial consequences than men.
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Affiliation(s)
- Qingyu Zhao
- Department of Psychiatry & Behavioral Sciences Stanford University School of Medicine Stanford CA USA
| | - Edith V. Sullivan
- Department of Psychiatry & Behavioral Sciences Stanford University School of Medicine Stanford CA USA
| | - Eva M. Műller‐Oehring
- Department of Psychiatry & Behavioral Sciences Stanford University School of Medicine Stanford CA USA
- Center for Health Sciences SRI International Menlo Park CA USA
| | | | - Ehsan Adeli
- Department of Psychiatry & Behavioral Sciences Stanford University School of Medicine Stanford CA USA
| | - Simon Podhajsky
- Center for Health Sciences SRI International Menlo Park CA USA
| | - Fiona C. Baker
- Center for Health Sciences SRI International Menlo Park CA USA
| | - Ian M. Colrain
- Center for Health Sciences SRI International Menlo Park CA USA
| | - Devin Prouty
- Center for Health Sciences SRI International Menlo Park CA USA
| | - Susan F. Tapert
- Department of Psychiatry University of California San Diego CA USA
| | - Sandra A. Brown
- Department of Psychiatry University of California San Diego CA USA
- Department of Psychology University of California San Diego CA USA
| | - Mary J. Meloy
- Department of Psychiatry University of California San Diego CA USA
| | - Ty Brumback
- Department of Psychological Science Northern Kentucky University Highland Heights KY USA
| | - Bonnie J. Nagel
- Departments of Psychiatry and Behavioral Neuroscience Oregon Health & Sciences University Portland OR USA
| | - Angelica M. Morales
- Departments of Psychiatry and Behavioral Neuroscience Oregon Health & Sciences University Portland OR USA
| | - Duncan B. Clark
- Department of Psychiatry University of Pittsburgh Pittsburgh PA USA
| | - Beatriz Luna
- Department of Psychiatry University of Pittsburgh Pittsburgh PA USA
| | - Michael D. De Bellis
- Department of Psychiatry & Behavioral Sciences Duke University School of Medicine Durham NC USA
| | - James T. Voyvodic
- Department of Radiology Duke University School of Medicine Durham NC USA
| | - Kate B. Nooner
- Department of Psychology University of North Carolina Wilmington Wilmington NC USA
| | - Adolf Pfefferbaum
- Department of Psychiatry & Behavioral Sciences Stanford University School of Medicine Stanford CA USA
- Center for Health Sciences SRI International Menlo Park CA USA
| | - Kilian M. Pohl
- Department of Psychiatry & Behavioral Sciences Stanford University School of Medicine Stanford CA USA
- Center for Health Sciences SRI International Menlo Park CA USA
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50
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Song Z, Chen J, Wen Z, Zhang L. Abnormal functional connectivity and effective connectivity between the default mode network and attention networks in patients with alcohol-use disorder. Acta Radiol 2021; 62:251-259. [PMID: 32423229 DOI: 10.1177/0284185120923270] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Patients with alcohol-use disorder (AUD) demonstrate dysfunctional cerebral network connectivity. However, limited studies have investigated attention systems in AUD. PURPOSE To assess functional (FC) and effective connectivity (EC) in the dorsal (DAN) and ventral attention networks (VAN) and default mode network (DMN) in patients with AUD using resting-state functional magnetic resonance imaging (rs-fMRI). MATERIAL AND METHODS MRI and rs-fMRI data were obtained from 28 men with AUD and 30 age-matched healthy controls. Independent component analysis was used to identify and extract network data, for comparison between the two groups. Effective connectivity was evaluated using Granger causality analysis (GCA) by selecting significantly different brain areas as regions of interest (ROI). Signed-path coefficients between ROIs were computed in bivariate mode. RESULTS In patients with AUD, FC decreased in the left superior parietal gurus (SPG) and left interparietal sulcus (IPS, in DAN); FC decreased in the right superior frontal gyrus (SPG) and right middle frontal gyrus (MFG, in DMN). GCA values indicated that the DMN exerts a positive causal effect on the DAN (P = 0.007/0.027), which consequently exerts a negative causal effect on the DMN (P = 0.032). Signed-path coefficients from the right MFG to the left IPS correlated negatively with MAST scores (P = 0.015). CONCLUSION We found novel inter-network connectivity dysfunction in patients with AUD, which indicates abnormal causal relations between resting-state DAN and DMN. Thus, patients with AUD may have abnormal top-down attention modulation and cognition.
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Affiliation(s)
- Zhiyan Song
- Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, PR China
| | - Jun Chen
- Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, PR China
| | - Zhi Wen
- Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, PR China
| | - Lei Zhang
- Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, PR China
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