成瘾的神经影像生物标志物

Hamed Ekhtiari, Arshiya Sangchooli, Owen Carmichael, F. Gerard Moeller, Patricio O’Donnell, Maria Oquendo, Martin P. Paulus, Diego A. Pizzagalli, Tatiana Ramey, Joseph Schacht, Mehran Zare-Bidoky, Anna Rose Childress, Kathleen Brady
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摘要

作为一种神经生物学过程,成瘾涉及与药物接触的病理模式以及一系列长期和复发的行为。神经成像技术可以评估从神经递质受体到大规模大脑网络的大脑活动、结构、生理学和新陈代谢,为了解与药物使用障碍有关的核心神经过程提供了独特的窗口。通过神经影像学发现的奖赏和显著性处理、反应抑制、内感知和执行功能的神经基底异常可以为药物、神经调节和心理治疗干预措施的开发提供依据,从而调节紊乱的神经生物学。根据我们的系统性检索,ClinicalTrials.gov 上登记的 409 项方案中包括使用一种或多种神经影像范式作为成瘾的结果测量,其中大多数(268 项)采用功能磁共振成像(fMRI),其次是正电子发射断层扫描(PET)(71 项)、脑电图(EEG)(50 项)、结构磁共振成像(MRI)(35 项)和磁共振波谱(MRS)(35 项)。此外,在 PubMed 系统性综述中,我们还发现了 61 项元分析,包括 30 项 fMRI、22 项结构性 MRI、8 项 EEG、7 项 PET 和 3 项 MRS 元分析,这些分析表明了成瘾的潜在生物标记物。这些研究可促进一系列生物标记物的开发,在未来几年内,这些标记物可能会被证明是治疗成瘾的有用工具。有证据表明,这些大规模大脑结构和活动的标志物可以显示易感性或区分疾病亚型、预测治疗反应或提供治疗反应或康复的客观指标。神经影像生物标志物还能为干预措施提出新的目标。闭环或开环干预可以实时或离线将这些生物标志物与神经调控结合起来,以个性化刺激参数并提供精确的干预。本综述概述了成瘾的神经成像模式、潜在的神经成像生物标志物及其生理和临床相关性。此外,还讨论了将这些潜在生物标志物从实验室应用到临床的未来方向和挑战。
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Neuroimaging Biomarkers in Addiction
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.
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