Ekhtiari Hamed, Sangchooli Arshiya, Carmichael Owen, Moeller F Gerard, O'Donnell Patricio, Oquendo Maria, Paulus Martin P, Pizzagalli Diego A, Ramey Tatiana, Schacht Joseph, Zare-Bidoky Mehran, Childress Anna Rose, Brady Kathleen
Department of Psychiatry, University of Minnesota Medical School, Minneapolis, MN, USA (Ekhtiari); Laureate Institute for Brain Research (LIBR), Tulsa, OK, USA (Ekhtiari, Paulus); School of Psychological Sciences, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia (Sangchooli); Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA (Carmichael); Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA (Oquendo, Childress); Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA, USA (Moeller); Translational Medicine, Sage Therapeutics, Cambridge, MA, USA and McLean Hospital, Department of Psychiatry, Harvard Medical School, Belmont, MA, USA (O'Donnell); Division of Depression and Anxiety, McLean Hospital, Belmont, MA, USA (Pizzaggali); National Institute on Drug Abuse, Bethesda, MD, USA (Ramey); Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, USA (Schacht); Iranian National Center for Addiction Studies (INCAS), Tehran University of Medical Sciences, Tehran, Iran (Zare-Bidoky); Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA (Brady).
medRxiv. 2024 Sep 3:2024.09.02.24312084. doi: 10.1101/2024.09.02.24312084.
As a neurobiological process, addiction involves pathological patterns of engagement with substances and a range of behaviors with a chronic and relapsing course. Neuroimaging technologies assess brain activity, structure, physiology, and metabolism at scales ranging from neurotransmitter receptors to large-scale brain networks, providing unique windows into the core neural processes implicated in substance use disorders. Identified aberrations in the neural substrates of reward and salience processing, response inhibition, interoception, and executive functions with neuroimaging can inform the development of pharmacological, neuromodulatory, and psychotherapeutic interventions to modulate the disordered neurobiology. Based on our systematic search, 409 protocols registered on ClinicalTrials.gov include the use of one or more neuroimaging paradigms as an outcome measure in addiction, with the majority (N=268) employing functional magnetic resonance imaging (fMRI), followed by positron emission tomography (PET) (N=71), electroencephalography (EEG) (N=50), structural magnetic resonance imaging (MRI) (N=35) and magnetic resonance spectroscopy (MRS) (N=35). Furthermore, in a PubMed systematic review, we identified 61 meta-analyses including 30 fMRI, 22 structural MRI, 8 EEG, 7 PET, and 3 MRS meta-analyses suggesting potential biomarkers in addictions. These studies can facilitate the development of a range of biomarkers that may prove useful in the arsenal of addiction treatments in the coming years. There is evidence that these markers of large-scale brain structure and activity may indicate vulnerability or separate disease subtypes, predict response to treatment, or provide objective measures of treatment response or recovery. Neuroimaging biomarkers can also suggest novel targets for interventions. Closed or open loop interventions can integrate these biomarkers with neuromodulation in real-time or offline to personalize stimulation parameters and deliver the precise intervention. This review provides an overview of neuroimaging modalities in addiction, potential neuroimaging biomarkers, and their physiologic and clinical relevance. Future directions and challenges in bringing these putative biomarkers from the bench to the bedside are also discussed.
作为一种神经生物学过程,成瘾涉及与物质接触的病理模式以及一系列具有慢性和复发性病程的行为。神经成像技术可在从神经递质受体到大规模脑网络的尺度上评估大脑活动、结构、生理和代谢,为了解物质使用障碍所涉及的核心神经过程提供了独特的窗口。通过神经成像确定的奖励和显著性处理、反应抑制、内感受和执行功能的神经基质异常,可为开发调节紊乱神经生物学的药物、神经调节和心理治疗干预措施提供依据。根据我们的系统检索,在ClinicalTrials.gov上注册的409项方案包括使用一种或多种神经成像范式作为成瘾的结果指标,其中大多数(N = 268)采用功能磁共振成像(fMRI),其次是正电子发射断层扫描(PET)(N = 71)、脑电图(EEG)(N = 50)、结构磁共振成像(MRI)(N = 35)和磁共振波谱(MRS)(N = 35)。此外,在一项PubMed系统评价中,我们确定了61项荟萃分析,包括30项fMRI、22项结构MRI、8项EEG、7项PET和3项MRS荟萃分析,提示成瘾中的潜在生物标志物。这些研究有助于开发一系列生物标志物,这些生物标志物可能在未来几年的成瘾治疗中发挥作用。有证据表明,这些大规模脑结构和活动的标志物可能表明易感性或区分疾病亚型、预测治疗反应或提供治疗反应或恢复的客观指标。神经成像生物标志物还可以为干预措施提示新的靶点。闭环或开环干预可以将这些生物标志物与神经调节实时或离线整合,以个性化刺激参数并提供精确的干预。本综述概述了成瘾中的神经成像模式、潜在的神经成像生物标志物及其生理和临床相关性。还讨论了将这些假定的生物标志物从实验室应用到临床的未来方向和挑战。