Updated Perspectives on the Neurobiology of Substance Use Disorders Using Neuroimaging
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[1] Zhengzhi Feng,et al. Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis , 2023, JAMA network open.
[2] M. Cloos,et al. Initial experiences with Direct Imaging of Neuronal Activity (DIANA) in humans , 2023, Imaging Neuroscience.
[3] Wenhan Yang,et al. Machine learning with neuroimaging biomarkers: Application in the diagnosis and prediction of drug addiction , 2023, Addiction biology.
[4] P. Cumming,et al. Molecular Imaging Studies of Alcohol Use Disorder. , 2023, Current topics in behavioral neurosciences.
[5] A. Kaye,et al. Methamphetamine Use: A Narrative Review of Adverse Effects and Related Toxicities. , 2022, Health psychology research.
[6] John T. Magner,et al. Teen Advisory Council Survey's Factors Associated With Self-Harming Thoughts , 2022, Frontiers in Psychiatry.
[7] N. Goeders,et al. Elucidating the Role of Trauma and Significant Life Stress in the Disease of Addiction may Provide New Targets for Medication Development. , 2022, CNS & neurological disorders drug targets.
[8] M. Buchsbaum,et al. Fluorodeoxyglucose positron emission tomography scans in patients with alcohol use disorder scans in patients with alcohol use disorder. , 2022, Alcoholism, clinical and experimental research.
[9] Narayan A Viswanadhan,et al. Neuroimaging in the Era of Artificial Intelligence: Current Applications. , 2022, Federal practitioner : for the health care professionals of the VA, DoD, and PHS.
[10] M. Desco,et al. Neuroimaging reveals distinct brain glucose metabolism patterns associated with morphine consumption in Lewis and Fischer 344 rat strains , 2022, Scientific reports.
[11] W. Deng,et al. Data-driven study on resting-state functional magnetic resonance imaging during early abstinence of alcohol dependence in male patients and its predictive value for relapse , 2022, BMC Psychiatry.
[12] Rita Z. Goldstein,et al. The neurobiology of drug addiction: cross-species insights into the dysfunction and recovery of the prefrontal cortex , 2021, Neuropsychopharmacology.
[13] J. Kwag,et al. In vivo direct imaging of neuronal activity at high temporo-spatial resolution , 2021, bioRxiv.
[14] Allen A. Champagne,et al. 3D amplified MRI (aMRI) , 2021, Magnetic resonance in medicine.
[15] Michael W. Cole,et al. Structural MRI and functional connectivity features predict current clinical status and persistence behavior in prescription opioid users , 2021, NeuroImage: Clinical.
[16] L. Vanderschuren,et al. Addiction as a brain disease revised: why it still matters, and the need for consilience , 2021, Neuropsychopharmacology.
[17] Vincent C. Gaudet,et al. Artificial intelligence for molecular neuroimaging , 2021, Annals of translational medicine.
[18] A. Kaye,et al. Adverse Effects of Recreational and Medical Cannabis. , 2021, Psychopharmacology bulletin.
[19] M. Kaufman,et al. Magnetic resonance spectroscopy studies of substance use disorders: Current landscape and potential future directions , 2020, Pharmacology Biochemistry and Behavior.
[20] E. Paulesu,et al. How the harm of drugs and their availability affect brain reactions to drug cues: a meta-analysis of 64 neuroimaging activation studies , 2020, Translational Psychiatry.
[21] A. Lingford-Hughes,et al. The neurobiology of substance use and addiction: evidence from neuroimaging and relevance to treatment , 2020, BJPsych Advances.
[22] S. Peltier,et al. Neuromodulation of brain activation associated with addiction: A review of real-time fMRI neurofeedback studies , 2020, NeuroImage: Clinical.
[23] Guy B. Williams,et al. Brain networks underlying vulnerability and resilience to drug addiction , 2020, Proceedings of the National Academy of Sciences.
[24] E. Parsons,et al. Gray and white matter morphology in substance use disorders: a neuroimaging systematic review and meta-analysis , 2020, bioRxiv.
[25] A. Kaye,et al. Kratom—Pharmacology, Clinical Implications, and Outlook: A Comprehensive Review , 2020, Pain and Therapy.
[26] William H. Hampton,et al. Substance abuse and white matter: Findings, limitations, and future of diffusion tensor imaging research. , 2019, Drug and alcohol dependence.
[27] K. Murnane. Serotonin 2A receptors are a stress response system: implications for post-traumatic stress disorder , 2019, Behavioural pharmacology.
[28] Monique Ernst,et al. Using neuroimaging to predict relapse in stimulant dependence: A comparison of linear and machine learning models , 2019, NeuroImage: Clinical.
[29] Maged Goubran,et al. Revealing sub‐voxel motions of brain tissue using phase‐based amplified MRI (aMRI) , 2018, Magnetic resonance in medicine.
[30] N. Volkow,et al. Neuroscience of Addiction: Relevance to Prevention and Treatment. , 2018, The American journal of psychiatry.
[31] D. Meyerhoff,et al. Regional cerebral blood flow in opiate dependence relates to substance use and neuropsychological performance , 2018, Addiction biology.
[32] Jeffrey S. Spence,et al. Successful classification of cocaine dependence using brain imaging: a generalizable machine learning approach , 2016, BMC Bioinformatics.
[33] N. Volkow,et al. Neurobiology of addiction: a neurocircuitry analysis. , 2016, The lancet. Psychiatry.
[34] M. S. Milella,et al. Cocaine cue-induced dopamine release in the human prefrontal cortex. , 2016, Journal of psychiatry & neuroscience : JPN.
[35] N. Volkow,et al. Neurobiologic Advances from the Brain Disease Model of Addiction. , 2016, The New England journal of medicine.
[36] K. Gopinath,et al. Functional connectivity in frontal-striatal brain networks and cocaine self-administration in female rhesus monkeys , 2015, Psychopharmacology.
[37] Karl T. Schmidt,et al. Serotonin 2A Receptors Differentially Contribute to Abuse-Related Effects of Cocaine and Cocaine-Induced Nigrostriatal and Mesolimbic Dopamine Overflow in Nonhuman Primates , 2013, The Journal of Neuroscience.
[38] N. Volkow,et al. The genetics of addiction , 2012, Human Genetics.
[39] William J Jagust,et al. Alcohol Consumption Induces Endogenous Opioid Release in the Human Orbitofrontal Cortex and Nucleus Accumbens , 2012, Science Translational Medicine.
[40] Robert Johnson,et al. The Clinical Utility of Brain SPECT Imaging in Process Addictions , 2012, Journal of psychoactive drugs.
[41] N. Volkow,et al. Addiction: Beyond dopamine reward circuitry , 2011, Proceedings of the National Academy of Sciences.
[42] L. Howell,et al. Neuroimaging and drug taking in primates , 2011, Psychopharmacology.
[43] John J. Foxe,et al. Assessing white matter integrity as a function of abstinence duration in former cocaine-dependent individuals. , 2010, Drug and alcohol dependence.
[44] S. Hanson,et al. fMRI BOLD response in high-risk college students (Part 1): during exposure to alcohol, marijuana, polydrug and emotional picture cues. , 2010, Alcohol and Alcoholism.
[45] L. Howell,et al. Development of an apparatus and methodology for conducting functional magnetic resonance imaging (fMRI) with pharmacological stimuli in conscious rhesus monkeys , 2010, Journal of Neuroscience Methods.
[46] J. Votaw,et al. Acute brain metabolic effects of cocaine in rhesus monkeys with a history of cocaine use , 2010, Brain Imaging and Behavior.
[47] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[48] L. Howell,et al. Nonhuman Primate Neuroimaging and the Neurobiology of Psychostimulant Addiction , 2008, Annals of the New York Academy of Sciences.
[49] Rex L. Cannon,et al. EEG Biofeedback as a Treatment for Substance Use Disorders: Review, Rating of Efficacy, and Recommendations for Further Research , 2008, Applied psychophysiology and biofeedback.
[50] N. Volkow,et al. Imaging the Addicted Human Brain , 2007, Science & practice perspectives.
[51] G. Koob,et al. Plasticity of reward neurocircuitry and the 'dark side' of drug addiction , 2005, Nature Neuroscience.
[52] Thomas J. Ross,et al. Neural correlates of high and craving during cocaine self-administration using BOLD fMRI , 2005, NeuroImage.
[53] Paul M. Thompson,et al. Structural Abnormalities in the Brains of Human Subjects Who Use Methamphetamine , 2004, The Journal of Neuroscience.
[54] J. Kaufman,et al. Cingulate Hypoactivity in Cocaine Users During a GO-NOGO Task as Revealed by Event-Related Functional Magnetic Resonance Imaging , 2003, The Journal of Neuroscience.
[55] N. Volkow,et al. The addicted human brain: insights from imaging studies. , 2003, The Journal of clinical investigation.
[56] N. Volkow,et al. Positron emission tomography and single-photon emission computed tomography in substance abuse research. , 2003, Seminars in nuclear medicine.
[57] S. B. Caine,et al. Role of Dopamine D2-like Receptors in Cocaine Self-Administration: Studies with D2 Receptor Mutant Mice and Novel D2 Receptor Antagonists , 2002, The Journal of Neuroscience.
[58] E. Stein,et al. Cue-induced cocaine craving: neuroanatomical specificity for drug users and drug stimuli. , 2000, The American journal of psychiatry.
[59] B. Carter,et al. Challenges in the manipulation, assessment and interpretation of craving relevant variables. , 2000, Addiction.
[60] T Ernst,et al. Gender effects on persistent cerebral metabolite changes in the frontal lobes of abstinent cocaine users. , 1999, The American journal of psychiatry.
[61] M Laruelle,et al. Elevated Striatal Dopamine Transporters During Acute Cocaine Abstinence as Measured by [123I]β-CIT SPECT , 1998, American Journal of Psychiatry.
[62] John A Matochik,et al. Smaller Volume of Prefrontal Lobe in Polysubstance Abusers: A Magnetic Resonance Imaging Study , 1998, Neuropsychopharmacology.
[63] E. Nestler,et al. Involvement of cAMP-Dependent Protein Kinase in the Nucleus Accumbens in Cocaine Self-Administration and Relapse of Cocaine-Seeking Behavior , 1998, The Journal of Neuroscience.
[64] G. Di Chiara. A motivational learning hypothesis of the role of mesolimbic dopamine in compulsive drug use. , 1998, Journal of psychopharmacology.
[65] L. Bauer,et al. Quantitative electroencephalographic differences associated with alcohol, cocaine, heroin and dual-substance dependence. , 1997, Drug and alcohol dependence.
[66] S. J. Gatley,et al. Decreased striatal dopaminergic responsiveness in detoxified cocaine-dependent subjects , 1997, Nature.
[67] J S Fowler,et al. Long‐Term frontal brain metabolic changes in cocaine abusers , 1992, Synapse.
[68] N. Volkow,et al. Dr. Volkow and Associates Reply , 1991 .
[69] J S Fowler,et al. Changes in brain glucose metabolism in cocaine dependence and withdrawal. , 1991, The American journal of psychiatry.
[70] E. John,et al. Quantitative EEG correlates of crack cocaine dependence , 1990, Psychiatry Research: Neuroimaging.
[71] F. Bloom,et al. Cellular and molecular mechanisms of drug dependence. , 1988, Science.
[72] R. Houston,et al. Event-Related Potentials as Biomarkers of Behavior Change Mechanisms in Substance Use Disorder Treatment. , 2018, Biological psychiatry. Cognitive neuroscience and neuroimaging.
[73] K. Murnane. The renaissance in psychedelic research: What do preclinical models have to offer. , 2018, Progress in brain research.
[74] April C. May,et al. Electrophysiology for addiction medicine: From methodology to conceptualization of reward deficits. , 2016, Progress in brain research.
[75] Marc A Schuckit,et al. Behavioral and Functional Neuroimaging Evidence for Prefrontal Dysfunction in Methamphetamine-Dependent Subjects , 2002, Neuropsychopharmacology.
[76] J C Gore,et al. Functional magnetic resonance imaging of cocaine craving. , 2001, The American journal of psychiatry.
[77] N. Volkow,et al. PET imaging studies in drug abuse. , 1998, Journal of toxicology. Clinical toxicology.
[78] F. Weiss,et al. Role for the mesocortical dopamine system in the motivating effects of cocaine. , 1994, NIDA research monograph.
[79] G. Pixton,et al. Substance Abuse and Rehabilitation , 2022 .